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4. Loss of CASK Accelerates Heart Failure Development

Author

Mustroph, Julian, Sag, Can M, Bähr, Felix, Schmidtmann, Anna-Lena, Gupta, Shamindra N, Dietz, Alexander, Islam, MM Towhidul, Lücht, Charlotte, Beuthner, Bo Eric, Pabel, Steffen, Baier, Maria J, El-Armouche, Ali, Sossalla, Samuel, Anderson, Mark E, Möllmann, Julia, Lehrke, Michael, Marx, Nikolaus, Mohler, Peter J, Bers, Donald M, Unsöld, Bernhard, He, Tao, Dewenter, Matthias, Backs, Johannes, Maier, Lars S, and Wagner, Stefan

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Animals, Calcium, Calcium-Calmodulin-Dependent Protein Kinase Type 2, Cells, Cultured, Glucagon-Like Peptide-1 Receptor, Guanylate Kinases, Heart Failure, Heart Rate, Humans, Male, Mice, Mice, Inbred C57BL, Myocardial Contraction, Myocytes, Cardiac, calmodulin, heart failure, myocardium, neurons, sarcoplasmic reticulum, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences
Abstract

[Figure: see text].

Published
2021

8. ABO Blood Group and Outcomes in Patients with COVID-19 Admitted in the Intensive Care Unit (ICU): A Retrospective Study in a Tertiary-Level Hospital in Bangladesh

Author

Halim MR, Saha S, Haque IU, Jesmin S, Nishat RJ, Islam AA, Roy S, Haque MMA, Islam MM, Hamid T, Ahmed KN, Talukder MAI, Ahmed A, Hasan E, Ananna N, Mohsin FM, and Hawlader MDH

Subjects
covid-19, icu, abo blood group, bangladesh, Medicine (General), R5-920
Abstract

Mohammad Rabiul Halim,1,&ast; Shuvajit Saha,2,&ast; Injamam Ull Haque,1 Sadia Jesmin,1 Rahatul Jannat Nishat,3 ASMD Ashraful Islam,2 Seema Roy,4 Miah Md Akiful Haque,5 Md Motiul Islam,1 Tarikul Hamid,1 Kazi Nuruddin Ahmed,1 Md Azharul Islam Talukder,1 Arif Ahmed,1 Emran Hasan,2 Nurjahan Ananna,1 Faroque Md Mohsin,6 Mohammad Delwer Hossain Hawlader7 1Department of Critical Care Medicine, Central Police Hospital, Dhaka, Bangladesh; 2Department of Maternal and Child Health, Projahnmo Research Foundation, Dhaka, Bangladesh; 3Department of Physiology, Sir Salimullah Medical College, Dhaka, Bangladesh; 4Department of Medicine, Popular Medical College, Dhaka, Bangladesh; 5Department of Epidemiology, Public Health Professional Development Initiative (PPDI), Dhaka, Bangladesh; 6Directorate General of Health Services (DGHS), Ministry of Health and Family Welfare, Dhaka, Bangladesh; 7Department of Public Health, North South University, Dhaka, Bangladesh&ast;These authors contributed equally to this workCorrespondence: Mohammad Delwer Hossain Hawlader Email mohammad.hawlader@northsouth.eduPurpose: The world is heavily suffering from the COVID-19 pandemic for more than a year, with over 191 million confirmed cases and more than 4.1 million deaths to date. Previous studies have explored several risk factors for coronavirus disease 2019 (COVID-19), but there is still a lack of association with ABO blood type. This study aimed to find out the relationship between the ABO blood group and COVID-19 outcomes in Bangladesh.Subjects and Methods: This retrospective cross-sectional study was conducted in the intensive care unit (ICU) of a tertiary-level COVID-dedicated hospital in Dhaka city, Bangladesh, between April 2020 and November 2020. Records from 771 critically ill patients were extracted who were confirmed for COVID-19 by reverse transcriptase-polymerase chain reaction (RT-PCR) assay, and blood grouping records were available in the health records.Results: The blood groups were 37.35%, 17.38%, 26.46%, and 18.81% for A, B, AB, and O type, respectively. Clinical symptoms were significantly more common in patients with blood type A (p < 0.05). Patients with blood type A had higher WBC counts and peak serum ferritin levels and both were statistically significant (p < 0.001). Patients with blood type A had a greater need for supplemental oxygen, and they were more likely to die in comparison to the patients with other blood types (p < 0.05). In multivariable analysis, our primary outcome death was significantly associated with blood type A (AOR: 3.49, 95% CI: 1.57– 7.73) while adjusting for age, male gender, and non-communicable diseases.Conclusion: Based on this study results, it can be concluded that the COVID-19 patients with blood type A have a higher chance of death and other complications. The authors recommend blood grouping before treating the COVID-19 patients, and healthcare workers should prioritize treating the patients based on that result.Keywords: COVID-19, ICU, ABO blood group, Bangladesh

Published
2021

9. Children's sex composition and modern contraceptive use among mothers in Bangladesh

Author

Ortega, JA, Khan, MN, Khanam, SJ, Billah, MA, Khan, MMA, Islam, MM, Ortega, JA, Khan, MN, Khanam, SJ, Billah, MA, Khan, MMA, and Islam, MM

Abstract

BACKGROUND: The stagnation and relatively low use of modern contraceptives are ongoing public health concerns in Bangladesh and other low- and middle-income countries. Although a cultural preference for sons may be linked to the current use of contraceptives, this linkage has not been adequately explored in the Bangladesh context. We investigated the effects of child sex composition on the current use of modern contraceptives. METHODS: We extracted and analysed data from 17,333 women who participated in the 2017/18 Bangladesh Demographic and Health Survey. The outcome variable was the current use of modern contraceptive methods. The study factor was the parity and sex composition of the living children. We used multilevel logistic regressions to determine the association between the study factor and outcome variables, adjusting for potential covariates at the individual-, household-, and community-levels. RESULTS: Women with relatively high parity had higher odds of currently using modern contraceptives. Among the individual parities, compared to women with no live sons, women with one or more live sons were more likely to report currently using modern contraceptives. However, this association is significant for women up to three children. When examining both parity and children's sex composition in a regression model, in each parity category, the likelihood of using modern contraceptives tend to rise with an increasing number of sons compared to women with just one daughter. CONCLUSION: The findings of this study suggest that while the use of modern contraceptives by women increases with the increasing number of children and son preference is prevalent in Bangladesh, women also want to have a mixed composition of son and daughter. The study findings can be used in family planning programmes to customise contraceptive promotion and counselling messages.

Published
2024

10. Detection of Novel Gene Mutations Associated with Pyrazinamide Resistance in Multidrug-Resistant Mycobacterium tuberculosis Clinical Isolates in Southern China

Author

Hameed HMA, Tan Y, Islam MM, Lu Z, Chhotaray C, Wang S, Liu Z, Fang C, Tan S, Yew WW, Zhong N, Liu J, and Zhang T

Subjects
tuberculosis, pyrazinamidase, drug resistance, molecular diagnosis, novel mutations, frameshift deletion, Infectious and parasitic diseases, RC109-216
Abstract

HM Adnan Hameed, 1, 2,* Yaoju Tan, 3,* Md Mahmudul Islam, 1, 2 Zhili Lu, 1 Chiranjibi Chhotaray, 1, 2 Shuai Wang, 1, 2 Zhiyong Liu, 1 Cuiting Fang, 1, 2 Shouyong Tan, 3 Wing Wai Yew, 4 Nanshan Zhong, 5 Jianxiong Liu, 3 Tianyu Zhang 1, 2, 5 1State Key Laboratory of Respiratory Disease, Guangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Guangzhou, People’s Republic of China; 2University of Chinese Academy of Sciences (UCAS), Beijing, People’s Republic of China; 3State Key Laboratory of Respiratory Disease, Guangzhou Chest Hospital, Guangzhou, People’s Republic of China; 4Stanley Ho Centre for Emerging Infectious Diseases, The Chinese University of Hong Kong, Hong Kong, People’s Republic of China; 5National Clinical Research Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China*These authors contributed equally to this workCorrespondence: Tianyu ZhangGuangzhou Institutes of Biomedicine and Health (GIBH), Chinese Academy of Sciences (CAS), Room A132, 190 Kaiyuan Ave, Science Park, Huangpu District, Guangzhou 510530, People’s Republic of ChinaTel +86-2032015270Email zhang_tianyu@gibh.ac.cnJianxiong LiuGuangzhou Chest Hospital, 62 Hengzhigang Road, Yuexiu District, Guangzhou 510095, People’s Republic of ChinaTel +86-2083595977Email ljxer64@qq.comObjective: Pyrazinamide (PZA) is a cornerstone of modern tuberculosis regimens. This study aimed to investigate the performance of genotypic testing of pncA+ upstream region, rpsA, panD, Rv2783c, and clpC1 genes to add insights for more accurate molecular diagnosis of PZA-resistant (R) Mycobacterium tuberculosis.Methods: Drug susceptibility testing, sequencing analysis of PZA-related genes including the entire operon of pncA (Rv2044c-pncA-Rv2042c) and PZase assay were performed for 448 M. tuberculosis clinical isolates.Results: Our data showed that among 448 M. tuberculosis clinical isolates, 113 were MDR, 195 pre-XDR and 70 XDR TB, while the remaining 70 strains had other combinations of drug-resistance. A total of 60.04% (269/448) M. tuberculosis clinical isolates were resistant to PZA, of which 78/113 were MDR, 119/195 pre-XDR and 29/70 XDR TB strains. PZAR isolates have predominance (83.3%) of Beijing genotype. Genotypic characterization of Rv2044c-pncA-Rv2042c revealed novel nonsynonymous mutations in Rv2044c with negative PZase activity which led to confer PZAR. Compared with phenotypic data, 84.38% (227/269) PZAR strains with mutations in pncA+ upstream region exhibited 83.64% sensitivity but the combined evaluation of the mutations in rpsA 2.60% (7/269), panD 1.48% (4/269), Rv2783c 1.11% (3/269) and Rv2044c 0.74% (2/269) increased the sensitivity to 89.59%. Fifty-seven novel mutations were identified in this study. Interestingly, a frameshift deletion (C− 114del) in upstream of pncAwt nullified the effect of A− 11G mutation and induced positive PZase activity, divergent from five PZase negative A− 11G PZAR mutants. Twenty-six PZAR strains having wild-type-sequenced genes with positive or negative PZase suggest the existence of unknown resistance mechanisms.Conclusion: Our study revealed that PZAR rate in MDR and pre-XDR TB was markedly higher in southern China. The concomitant evaluation of pncA+ UFR, rpsA, panD, Rv2783c, and Rv2044c provides more dependable genotypic results of PZA resistance. Fifty-seven novel mutations/indels in this study may play a vital role as diagnostic markers. The upstream region of pncA and PZase regulation are valuable to explore the unknown mechanism of PZA-resistance.Keywords: tuberculosis, pyrazinamidase, drug resistance, molecular diagnosis, novel mutations, frameshift deletion

Published
2020

15. Spatial distribution of caesarean deliveries and their determinants in Bangladesh: evidence from linked data of population and health facility survey

Author

Khan, MN, Islam, MM, Akter, S, Khan, MN, Islam, MM, and Akter, S

Abstract

Background: Health facility-level factors play a crucial role in women's access to and use of caesarean section (CS) services, but lacks relevant evidence. The study aimed to understand the effects of health facility-level factors on CS delivery in Bangladesh. Methods: The 2017–18 Bangladesh Demographic and Health Survey (2017–18 BDHS) and the 2017 Bangladesh Health Facility Survey (2017 BHFS) were linked and analysed in this study. The sample comprised of 4954 women gave at least one live birth within three years preceding the survey. The outcome variable was delivery through CS (yes, no) and the explanatory variables were health facility-level, individual-level, household-level, and community-level factors. Moran's I and Getis-Ord General G statistic were used to identify the hotspots of delivery through CS. Mixed-effect multilevel logistic regression was used to examine the association of the outcome variable with explanatory variables. Findings: Around 33% of women in Bangladesh underwent CS in their most recent pregnancies. The hotspots of delivery through CS are located primarily in Rajshahi, Dhaka, and Khulna divisions. The likelihood of delivered through CS increased with the rising scores of the management (Adjusted Odds Ratio (AOR), 1.83; 95% CI 1.04–2.07) and infrastructure (AOR, 3.14; 95% CI 1.40–5.12) of the nearest health facility. The readiness of health facilities to provide comprehensive obstetric care was significantly associated with an increased likelihood of delivery through CS (AOR, 2.18; 95% CI 1.15–3.28). These relationships were strong for private than non-government and government health facilities. Interpretation: The proximity of comprehensive obstetric care facilities to women's residences and their readiness to provide services play critical roles in the access to and use of CS in Bangladesh. The findings highlight the importance of necessary healthcare personnel, including midwives, availability of government hospitals where undue CS a

Published
2023

16. The burden and trend of diseases and their risk factors in Australia, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019

Author

Islam, SMS, Uddin, R, Maddison, R, Ball, K, Livingstone, KM, Khan, A, Salmon, J, Ackerman, IN, Adair, T, Adegboye, OA, Ademi, Z, Adhikary, RK, Ahinkorah, BO, Alam, K, Alene, KA, Alif, SM, Amare, AT, Ameyaw, EK, Aminde, LN, Anderlini, D, Angell, B, Ansar, A, Antony, B, Anyasodor, AE, Arnet, VK, Astell-Burt, T, Atorkey, P, Awoke, MA, Quintanilla, BPA, Ayano, G, Bagheri, N, Barnett, A, Baune, BT, Bhandari, D, Bhaskar, S, Biswas, RK, Borschmann, R, Boufous, S, Briggs, AM, Buchbinder, R, Bulamu, NB, Burns, RA, Carvalho, AF, Cerin, E, Cherbuin, N, Chowdhury, EK, Ciobanu, LG, Clark, SR, Cross, M, Dadi, AF, de Courten, B, De Leo, D, de Luca, K, Doyle, KE, Edvardsson, D, Edvardsson, K, Efendi, F, Endalamaw, A, Fauk, NK, Feng, X, Fitzgibbon, BM, Flavel, J, Gebreyohannes, EAA, Gesesew, HA, Gill, TK, Godinho, MA, Gupta, B, Gupta, VK, Hambisa, MT, Hamiduzzaman, M, Hankey, GJ, Hassanian-Moghaddam, H, Hay, SI, Hebert, JJ, Huda, MM, Huda, TM, Islam, MM, Islam, MS, Islam, RM, Kaambwa, B, Kandel, H, Kassie, GM, Kelly, JT, Kerr, JA, Kiross, GT, Knibbs, LD, Kulkarni, VV, Lalloo, R, Le, LKD, Leigh, J, Leung, J, Li, S, Mahumud, RA, Mamun, AA, Marzan, MB, McGrath, JJ, Mehlman, ML, Meretoja, A, Mersha, AG, Miller, TR, Mitchell, PB, Mokdad, AH, Morawska, L, Mpundu-Kaambwa, C, Mude, W, Murray, CJL, Kandel, SN, Nyanhanda, T, Obamiro, KO, Peden, AE, Pesudovs, K, Polkinghorne, KR, Rahman, A, Rahman, MA, Ratan, ZA, Rawal, L, Reifels, L, Renzaho, AMN, Robinson, SR, Roshandel, D, Rumisha, SF, Saunders, PA, Sawyer, SM, Schlaich, MP, Schutte, AE, Seidu, A-A, Sharma, S, Shorofi, SA, Siabani, S, Singh, A, Singh, BB, Slater, H, Stephens, JH, Stokes, MA, Subedi, NS, Sumi, CD, Sun, J, Sundstrom, J, Szoeke, CEI, Tadakamadla, SK, Takahashi, K, Taylor, J, Tessema, MBT, Thrift, AG, To, QG, Tollosa, DN, Tran, MTN, Vandelanotte, C, Varghese, BM, Veerman, LJ, Wang, N, Ward, P, Woodward, M, Wubishet, BL, Xu, X, Ye, P, Bin Zaman, S, Zarghami, A, Zhang, J, Crawford, DA, Islam, SMS, Uddin, R, Maddison, R, Ball, K, Livingstone, KM, Khan, A, Salmon, J, Ackerman, IN, Adair, T, Adegboye, OA, Ademi, Z, Adhikary, RK, Ahinkorah, BO, Alam, K, Alene, KA, Alif, SM, Amare, AT, Ameyaw, EK, Aminde, LN, Anderlini, D, Angell, B, Ansar, A, Antony, B, Anyasodor, AE, Arnet, VK, Astell-Burt, T, Atorkey, P, Awoke, MA, Quintanilla, BPA, Ayano, G, Bagheri, N, Barnett, A, Baune, BT, Bhandari, D, Bhaskar, S, Biswas, RK, Borschmann, R, Boufous, S, Briggs, AM, Buchbinder, R, Bulamu, NB, Burns, RA, Carvalho, AF, Cerin, E, Cherbuin, N, Chowdhury, EK, Ciobanu, LG, Clark, SR, Cross, M, Dadi, AF, de Courten, B, De Leo, D, de Luca, K, Doyle, KE, Edvardsson, D, Edvardsson, K, Efendi, F, Endalamaw, A, Fauk, NK, Feng, X, Fitzgibbon, BM, Flavel, J, Gebreyohannes, EAA, Gesesew, HA, Gill, TK, Godinho, MA, Gupta, B, Gupta, VK, Hambisa, MT, Hamiduzzaman, M, Hankey, GJ, Hassanian-Moghaddam, H, Hay, SI, Hebert, JJ, Huda, MM, Huda, TM, Islam, MM, Islam, MS, Islam, RM, Kaambwa, B, Kandel, H, Kassie, GM, Kelly, JT, Kerr, JA, Kiross, GT, Knibbs, LD, Kulkarni, VV, Lalloo, R, Le, LKD, Leigh, J, Leung, J, Li, S, Mahumud, RA, Mamun, AA, Marzan, MB, McGrath, JJ, Mehlman, ML, Meretoja, A, Mersha, AG, Miller, TR, Mitchell, PB, Mokdad, AH, Morawska, L, Mpundu-Kaambwa, C, Mude, W, Murray, CJL, Kandel, SN, Nyanhanda, T, Obamiro, KO, Peden, AE, Pesudovs, K, Polkinghorne, KR, Rahman, A, Rahman, MA, Ratan, ZA, Rawal, L, Reifels, L, Renzaho, AMN, Robinson, SR, Roshandel, D, Rumisha, SF, Saunders, PA, Sawyer, SM, Schlaich, MP, Schutte, AE, Seidu, A-A, Sharma, S, Shorofi, SA, Siabani, S, Singh, A, Singh, BB, Slater, H, Stephens, JH, Stokes, MA, Subedi, NS, Sumi, CD, Sun, J, Sundstrom, J, Szoeke, CEI, Tadakamadla, SK, Takahashi, K, Taylor, J, Tessema, MBT, Thrift, AG, To, QG, Tollosa, DN, Tran, MTN, Vandelanotte, C, Varghese, BM, Veerman, LJ, Wang, N, Ward, P, Woodward, M, Wubishet, BL, Xu, X, Ye, P, Bin Zaman, S, Zarghami, A, Zhang, J, and Crawford, DA

Abstract

BACKGROUND: A comprehensive understanding of temporal trends in the disease burden in Australia is lacking, and these trends are required to inform health service planning and improve population health. We explored the burden and trends of diseases and their risk factors in Australia from 1990 to 2019 through a comprehensive analysis of the Global Burden of Disease Study (GBD) 2019. METHODS: In this systematic analysis for GBD 2019, we estimated all-cause mortality using the standardised GBD methodology. Data sources included primarily vital registration systems with additional data from sample registrations, censuses, surveys, surveillance, registries, and verbal autopsies. A composite measure of health loss caused by fatal and non-fatal disease burden (disability-adjusted life-years [DALYs]) was calculated as the sum of years of life lost (YLLs) and years of life lived with disability (YLDs). Comparisons between Australia and 14 other high-income countries were made. FINDINGS: Life expectancy at birth in Australia improved from 77·0 years (95% uncertainty interval [UI] 76·9-77·1) in 1990 to 82·9 years (82·7-83·1) in 2019. Between 1990 and 2019, the age-standardised death rate decreased from 637·7 deaths (95% UI 634·1-641·3) to 389·2 deaths (381·4-397·6) per 100 000 population. In 2019, non-communicable diseases remained the major cause of mortality in Australia, accounting for 90·9% (95% UI 90·4-91·9) of total deaths, followed by injuries (5·7%, 5·3-6·1) and communicable, maternal, neonatal, and nutritional diseases (3·3%, 2·9-3·7). Ischaemic heart disease, self-harm, tracheal, bronchus, and lung cancer, stroke, and colorectal cancer were the leading causes of YLLs. The leading causes of YLDs were low back pain, depressive disorders, other musculoskeletal diseases, falls, and anxiety disorders. The leading risk factors for DALYs were high BMI, smoking, high blood pressure, high fasting plasma glucose, and drug use. Between 1990 and 2019, all-cause DALYs decreased

Published
2023

17. Data-driven next-generation smart grid towards sustainable energy evolution: techniques and technology review

Author

Ahsan, F, Dana, NH, Sarker, SK, Li, L, Muyeen, SM, Ali, MF, Tasneem, Z, Hasan, MM, Abhi, SH, Islam, MR, Ahamed, MH, Islam, MM, Das, SK, Badal, MFR, Das, P, Ahsan, F, Dana, NH, Sarker, SK, Li, L, Muyeen, SM, Ali, MF, Tasneem, Z, Hasan, MM, Abhi, SH, Islam, MR, Ahamed, MH, Islam, MM, Das, SK, Badal, MFR, and Das, P

Abstract

Meteorological changes urge engineering communities to look for sustainable and clean energy technologies to keep the environment safe by reducing CO2 emissions. The structure of these technologies relies on the deep integration of advanced data-driven techniques which can ensure efficient energy generation, transmission, and distribution. After conducting thorough research for more than a decade, the concept of the smart grid (SG) has emerged, and its practice around the world paves the ways for efficient use of reliable energy technology. However, many developing features evoke keen interest and their improvements can be regarded as the next-generation smart grid (NGSG). Also, to deal with the non-linearity and uncertainty, the emergence of data-driven NGSG technology can become a great initiative to reduce the diverse impact of non-linearity. This paper exhibits the conceptual framework of NGSG by enabling some intelligent technical features to ensure its reliable operation, including intelligent control, agent-based energy conversion, edge computing for energy management, internet of things (IoT) enabled inverter, agent-oriented demand side management, etc. Also, a study on the development of data-driven NGSG is discussed to facilitate the use of emerging data-driven techniques (DDTs) for the sustainable operation of the SG. The prospects of DDTs in the NGSG and their adaptation challenges in real-time are also explored in this paper from various points of view including engineering, technology, et al. Finally, the trends of DDTs towards securing sustainable and clean energy evolution from the NGSG technology in order to keep the environment safe is also studied, while some major future issues are highlighted. This paper can offer extended support for engineers and researchers in the context of data-driven technology and the SG.

Published
2023

18. Optimal placement of applications in the fog environment: A systematic literature review

Author

Islam, MM, Ramezani, F, Lu, HY, Naderpour, M, Islam, MM, Ramezani, F, Lu, HY, and Naderpour, M

Abstract

The fog-computing paradigm complements cloud computing to support the deployment and execution of latency-sensitive applications at the network edge by offering enhanced computational power. Optimal placement of such applications over a fog network comprising geographically distributed, heterogeneous, and resource-constrained fog nodes is a core challenge in fog-computing paradigm research. This study systematically reviews existing research on optimal fog application placement over the cloud-to-thing continuum. Surveyed articles are analyzed in four aspects: i) layers of the cloud-to-thing continuum considered for placing an application; ii) application characteristics that are considered in making placement decisions; iii) application placement mechanism; iv) tools and technology for placing an application. This review also categorizes the research problems associated with fog application placement. Finally, based on this review, we suggest directions for future adaptive fog-application placement research.

Published
2023

23. Identification of potential drug targets by subtractive genome analysis of Escherichia coli O157:H7: an in silico approach

Author

Mondal SI, Ferdous S, Jewel NA, Akter A, Mahmud Z, Islam MM, Afrin T, and Karim N

Subjects
E. coli O157:H7, KEGG metabolic pathways, Novel and broad-spectrum antibiotic targets, DNA polymerase III alpha, Homology modeling, Biology (General), QH301-705.5, Biochemistry, QD415-436
Abstract

Shakhinur Islam Mondal,1,6,* Sabiha Ferdous,1,* Nurnabi Azad Jewel,1 Arzuba Akter,2,6 Zabed Mahmud,1 Md Muzahidul Islam,1 Tanzila Afrin,3 Nurul Karim4,5 1Genetic Engineering and Biotechnology Department, Shahjalal University of Science and Technology, Sylhet, Bangladesh; 2Biochemistry and Molecular Biology Department, Shahjalal University of Science and Technology, Sylhet, Bangladesh; 3Department of Pharmacy, East West University, Aftabnagar, Bangladesh; 4Biochemistry and Molecular Biology Department, Jahangirnagar University, Savar, Bangladesh; 5Division of Parasitology, 6Division of Microbiology, Department of Infectious Diseases, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan *These authors contributed equally to this work Abstract: Bacterial enteric infections resulting in diarrhea, dysentery, or enteric fever constitute a huge public health problem, with more than a billion episodes of disease annually in developing and developed countries. In this study, the deadly agent of hemorrhagic diarrhea and hemolytic uremic syndrome, Escherichia coli O157:H7 was investigated with extensive computational approaches aimed at identifying novel and broad-spectrum antibiotic targets. A systematic in silico workflow consisting of comparative genomics, metabolic pathways analysis, and additional drug prioritizing parameters was used to identify novel drug targets that were essential for the pathogen’s survival but absent in its human host. Comparative genomic analysis of Kyoto Encyclopedia of Genes and Genomes annotated metabolic pathways identified 350 putative target proteins in E. coli O157:H7 which showed no similarity to human proteins. Further bioinformatic approaches including prediction of subcellular localization, calculation of molecular weight, and web-based investigation of 3D structural characteristics greatly aided in filtering the potential drug targets from 350 to 120. Ultimately, 44 non-homologous essential proteins of E. coli O157:H7 were prioritized and proved to have the eligibility to become novel broad-spectrum antibiotic targets and DNA polymerase III alpha (dnaE) was the top-ranked among these targets. Moreover, druggability of each of the identified drug targets was evaluated by the DrugBank database. In addition, 3D structure of the dnaE was modeled and explored further for in silico docking with ligands having potential druggability. Finally, we confirmed that the compounds N-coeleneterazine and N-(1,4-dihydro-5H-tetrazol-5-ylidene)-9-oxo-9H-xanthene-2-sulfonamide were the most suitable ligands of dnaE and hence proposed as the potential inhibitors of this target protein. The results of this study could facilitate the discovery and release of new and effective drugs against E. coli O157:H7 and other deadly human bacterial pathogens. Keywords: E. coli O157:H7, KEGG metabolic pathways, novel and broad-spectrum antibiotic targets, DNA polymerase III alpha, homology modeling

Published
2015

28. Transition to agroforestry significantly improves soil quality for increased food production and food security in the terrace ecosystem of Bangladesh

Author

Islam MM, Ali ME

Subjects
Agroforestry, Soil quality, Food production, Food security
Abstract

The study was aimed to evaluate soil chemical properties in jackfruit based multistoried agroforestry system in the central terrace ecosystem of Bangladesh. The study was conducted at a farmer’s field under Belabo upazila of Narsingdi district of Bangladesh from September, 2011 to January, 2014. Jackfruit trees were kept as upperstorey; papaya, lemon, mandarin and sweet orange were at middlestorey and seasonal vegetables such as eggplant, bottle gourd and ash gourd were grown as lowerstorey crops.The experiment was conducted in a Randomized Complete Block Design (RCBD) with three replications. There were five treatments covering agroforestry with four orientations and sole cropping (jackfruit trees). Positive changes of the chemical properties of top soil layer were observed in agroforestry over sole cropping (jackfruit trees). Soil pH (4.62), total nitrogen (0.081%), organic carbon (0.61%), organic matter (1.05%), phosphorus (4.23 ppm), Sulphur (10.17 ppm), calcium (2.27 meq/100g), magnesium (0.46 meq/100g) and potassium (0.52 meq/100g) were found higher in agroforestry systems than that of sole cropping (jackfruit trees). Results revealed that soils in the agroforestry systems tuned to more fertile than soil in the sole cropping (jackfruit trees). The results clearly indicated that agroforestry systems are more suitable to build up soil fertility than the sole cropping (jackfruit trees).

Published
2022
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38. Mapping inequalities in exclusive breastfeeding in low- and middle-income countries, 2000-2018

Author

Bhattacharjee, NV, Schaeffer, LE, Hay, SI, Lu, D, Schipp, MF, Lazzar-Atwood, A, Donkers, KM, Abady, GG, Abd-Allah, F, Abdelalim, A, Abebo, ZH, Abejie, AN, Abosetugn, AE, Abreu, LG, Abrigo, MRM, Abu-Gharbieh, E, Abushouk, AI, Adamu, AL, Adedeji, IA, Adegbosin, AE, Adekanmbi, V, Adetokunboh, OO, Agudelo-Botero, M, Aji, B, Akinyemi, OO, Alamneh, AA, Alanezi, FM, Alanzi, TM, Albright, J, Alcalde-Rabanal, JE, Alemu, BW, Alhassan, RK, Ali, BA, Ali, S, Alinia, C, Alipour, V, Amit, AML, Amugsi, DA, Anbesu, EW, Ancuceanu, R, Anjomshoa, M, Ansari, F, Antonio, CAT, Anvari, D, Arabloo, J, Arora, A, Artanti, KD, Asemahagn, MA, Asmare, WN, Atout, MMW, Ausloos, M, Awoke, N, Quintanilla, BPA, Ayanore, MA, Aynalem, YA, Ayza, MA, Azene, ZN, Darshan, BB, Badiye, AD, Baig, AA, Bakkannavar, SM, Banach, M, Banik, PC, Bärnighausen, TW, Basaleem, H, Bayati, M, Baye, BA, Bedi, N, Belay, SA, Bhagavathula, AS, Bhandari, D, Bhardwaj, N, Bhardwaj, P, Bhutta, ZA, Bijani, A, Birhan, TA, Birihane, BM, Bitew, ZW, Bohlouli, S, Bohluli, M, Bojia, HA, Boloor, A, Brady, OJ, Bragazzi, NL, Brunoni, AR, Budhathoki, SS, Nagaraja, SB, Butt, ZA, Cárdenas, R, Castaldelli-Maia, JM, Castro, F, Cernigliaro, A, Charan, J, Chatterjee, P, Chatterjee, S, Chattu, VK, Chaturvedi, S, Chowdhury, MAK, Chu, D-T, Collison, ML, Cook, AJ, Cork, MA, Couto, RAS, Dagnew, B, Dai, H, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darwesh, AM, Darwish, AH, Daryani, A, Das, JK, Gupta, RD, Dávila-Cervantes, CA, Davis, AC, Weaver, ND, Denova-Gutiérrez, E, Deribe, K, Desalew, A, Deshpande, A, Dessie, A, Deuba, K, Dharmaratne, SD, Dhimal, M, Dhungana, GP, Diaz, D, Didarloo, A, Dipeolu, IO, Doan, LP, Duko, B, Duraes, AR, Dwyer-Lindgren, L, Earl, L, Zaki, MES, Tantawi, ME, Elema, TB, Elhabashy, HR, El-Jaafary, SI, Faris, PS, Faro, A, Farzadfar, F, Feigin, VL, Feleke, BE, Ferede, TY, Fischer, F, Foigt, NA, Folayan, MO, Franklin, RC, Gad, MM, Gaidhane, S, Gardner, WM, Geberemariyam, BS, Gebregiorgis, BG, Gebremedhin, KB, Gebremichael, B, Ghaffarpasand, F, Gilani, SA, Ginindza, TG, Glagn, M, Golechha, M, Gonfa, KB, Goulart, BNG, Gudi, N, Guido, D, Guled, RA, Guo, Y, Hamidi, S, Handiso, DW, Hasaballah, AI, Hassan, A, Hayat, K, Hegazy, MI, Heidari, B, Henry, NJ, Herteliu, C, de, Hidru, HD, Ho, HC, Hoang, CL, Holla, R, Hon, J, Hosseini, M, Hosseinzadeh, M, Househ, M, Hsairi, M, Hu, G, Huda, TM, Hwang, B-F, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Inbaraj, LR, Iqbal, U, Irvani, SSN, Islam, MM, Iwu, CCD, Iwu, CJ, Jain, A, Janodia, MD, Javaheri, T, John-Akinola, YO, Johnson, KB, Joukar, F, Jozwiak, JJ, Kabir, A, Kalankesh, LR, Kalhor, R, Kamath, A, Kamyari, N, Kanchan, OT, Kapoor, N, Matin, BK, Karimi, SE, Kasaye, HK, Kassahun, G, Kassebaum, NJ, Kayode, GA, Karyani, AK, Keiyoro, PN, Kelkay, B, Khalid, N, Khan, MN, Khatab, K, Khater, AM, Khater, MM, Khatib, MN, Kim, YJ, Kimokoti, RW, Kinyoki, DK, Kisa, A, Kisa, S, Kosen, S, Krishan, K, Kulkarni, V, Kumar, GA, Kumar, M, Kumar, N, Kumar, P, Kurmi, OP, Kusuma, D, Vecchia, CL, Lad, SD, Lami, FH, Landires, I, Lansingh, VC, Lasrado, S, Lee, PH, LeGrand, KE, Letourneau, ID, Lewycka, S, Li, B, Li, M-C, Li, S, Liu, X, Lodha, R, Lopez, JCF, Louie, C, Machado, DB, Maled, V, Maleki, S, Malta, DC, Mamun, AA, Manafi, N, Mansournia, MA, Mapoma, CC, Marczak, LB, Martins-Melo, FR, Mehndiratta, MM, Mejia-Rodriguez, F, Mekonnen, TC, Mendoza, W, Menezes, RG, Mengesha, EW, Mersha, AM, Miller, TR, Mini, GK, Mirrakhimov, EM, Misra, S, Moghadaszadeh, M, Mohammad, DK, Mohammadian-Hafshejani, A, Mohammed, JA, Mohammed, S, Mokdad, AH, Montero-Zamora, PA, Moradi, M, Moradzadeh, R, Moraga, P, Mosser, JF, Mousavi, SM, Khaneghah, AM, Munro, SB, Muriithi, MK, Mustafa, G, Muthupandian, S, Nagarajan, AJ, Naik, G, Naimzada, MD, Nangia, V, Nascimento, BR, Nayak, VC, Ndejjo, R, Ndwandwe, DE, Negoi, I, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, CT, Nguyen, DN, Nguyen, HLT, Nigussie, SN, Nigussie, TTN, Nikbakhsh, R, Nnaji, CA, Nunez-Samudio, V, Oancea, B, Oghenetega, OB, Olagunju, AT, Olusanya, BO, Olusanya, JO, Omer, MO, Onwujekwe, OE, Ortega-Altamirano, DV, Osgood-Zimmerman, AE, Otstavnov, N, Otstavnov, SS, Owolabi, MO, Mahesh, PA, Padubidri, JR, Pana, A, Pandey, A, Pandi-Perumal, SR, Pangaribuan, HU, Parsekar, SS, Pasupula, DK, Patel, UK, Pathak, A, Pathak, M, Pattanshetty, SM, Patton, GC, Paulos, K, Pepito, VCF, Pickering, BV, Pinheiro, M, Piwoz, EG, Pokhrel, KN, Pourjafar, H, Prada, SI, Pribadi, DRA, Syed, ZQ, Rabiee, M, Rabiee, N, Rahim, F, Rahimzadeh, S, Rahman, A, Rahman, MHU, Rahmani, AM, Rai, RK, Ranabhat, CL, Rao, SJ, Rastogi, P, Rathi, P, Rawaf, DL, Rawaf, S, Rawassizadeh, R, Rawat, R, Regassa, LD, Rego, MAS, Reiner, RC, Reshmi, B, Rezapour, A, Ribeiro, AI, Rickard, J, Roever, L, Rumisha, SF, Rwegerera, GM, Sagar, R, Sajadi, SM, Salem, MR, Samy, AM, Santric-Milicevic, MM, Saraswathy, SYI, Sarker, AR, Sartorius, B, Sathian, B, Saxena, D, Sbarra, AN, Sengupta, D, Senthilkumaran, S, Sha, F, Shafaat, O, Shaheen, AA, Shaikh, MA, Shalash, AS, Shannawaz, M, Sheikh, A, Shetty, BSK, Shetty, RS, Shibuya, K, Shiferaw, WS, Shin, JI, Silva, DAS, Singh, NP, Singh, P, Singh, S, Sintayehu, Y, Skryabin, VY, Skryabina, AA, Soheili, A, Soltani, S, Sorrie, MB, Spurlock, EE, Steuben, KM, Sudaryanto, A, Sufiyan, MB, Swartz, SJ, Tadesse, EG, Tamiru, AT, Tapak, L, Tareque, MI, Tarigan, IU, Tesema, GA, Tesfay, FH, Teshome, A, Tessema, ZT, Thankappan, KR, Thapar, R, Thomas, N, Topor-Madry, R, Tovani-Palone, MR, Traini, E, Tran, BX, Truong, PN, Tsegaye, BTBT, Ullah, I, Umeokonkwo, CD, Unnikrishnan, B, Upadhyay, E, Uzochukwu, BSC, VanderHeide, JD, Violante, FS, Vo, B, Wado, YD, Waheed, Y, Wamai, RG, Wang, F, Wang, Y, Wang, Y-P, Wickramasinghe, ND, Wiens, KE, Wiysonge, CS, Woyczynski, L, Wu, A-M, Wu, C, Yamada, T, Yaya, S, Yeshaneh, A, Yeshaw, Y, Yeshitila, YG, Yilma, MT, Yip, P, Yonemoto, N, Yosef, T, Younis, MZ, Yousuf, AY, Yu, C, Yu, Y, Yuce, D, Zafar, S, Zaidi, SS, Zaki, L, Zakzuk, J, Zamanian, M, Zar, HJ, Zastrozhin, MS, Zastrozhina, A, Zelellw, DA, Zhang, Y, Zhang, Z-J, Zhao, X-JG, Zodpey, S, Zuniga, YMH, Local Burden of Disease Exclusive Breastfeeding Collaborators, Bhattacharjee, Natalia V, Schaeffer, Lauren E, Hay, Simon I, Duko, Bereket, Yeshaw, Yigizie, Local Burden of Disease Exclusive Breastfeeding Collaborators, Bhattacharjee N.V., Schaeffer L.E., Hay S.I., Lu D., Schipp M.F., Lazzar-Atwood A., Donkers K.M., Abady G.G., Abd-Allah F., Abdelalim A., Abebo Z.H., Abejie A.N., Abosetugn A.E., Abreu L.G., Abrigo M.R.M., Abu-Gharbieh E., Abushouk A.I., Adamu A.L., Adedeji I.A., Adegbosin A.E., Adekanmbi V., Adetokunboh O.O., Agudelo-Botero M., Aji B., Akinyemi O.O., Alamneh A.A., Alanezi F.M., Alanzi T.M., Albright J., Alcalde-Rabanal J.E., Alemu B.W., Alhassan R.K., Ali B.A., Ali S., Alinia C., Alipour V., Amit A.M.L., Amugsi D.A., Anbesu E.W., Ancuceanu R., Anjomshoa M., Ansari F., Antonio C.A.T., Anvari D., Arabloo J., Arora A., Artanti K.D., Asemahagn M.A., Asmare W.N., Atout M.M.W., Ausloos M., Awoke N., Quintanilla B.P.A., Ayanore M.A., Aynalem Y.A., Ayza M.A., Azene Z.N., Darshan B.B., Badiye A.D., Baig A.A., Bakkannavar S.M., Banach M., Banik P.C., Barnighausen T.W., Basaleem H., Bayati M., Baye B.A., Bedi N., Belay S.A., Bhagavathula A.S., Bhandari D., Bhardwaj N., Bhardwaj P., Bhutta Z.A., Bijani A., Birhan T.A., Birihane B.M., Bitew Z.W., Bohlouli S., Bohluli M., Bojia H.A., Boloor A., Brady O.J., Bragazzi N.L., Brunoni A.R., Budhathoki S.S., Nagaraja S.B., Butt Z.A., Cardenas R., Castaldelli-Maia J.M., Castro F., Cernigliaro A., Charan J., Chatterjee P., Chatterjee S., Chattu V.K., Chaturvedi S., Chowdhury M.A.K., Chu D.-T., Collison M.L., Cook A.J., Cork M.A., Couto R.A.S., Dagnew B., Dai H., Dandona L., Dandona R., Daneshpajouhnejad P., Darwesh A.M., Darwish A.H., Daryani A., Das J.K., Gupta R.D., Davila-Cervantes C.A., Davis A.C., Weaver N.D., Denova-Gutierrez E., Deribe K., Desalew A., Deshpande A., Dessie A., Deuba K., Dharmaratne S.D., Dhimal M., Dhungana G.P., Diaz D., Didarloo A., Dipeolu I.O., Doan L.P., Duko B., Duraes A.R., Dwyer-Lindgren L., Earl L., Zaki M.E.S., Tantawi M.E., Elema T.B., Elhabashy H.R., El-Jaafary S.I., Faris P.S., Faro A., Farzadfar F., Feigin V.L., Feleke B.E., Ferede T.Y., Fischer F., Foigt N.A., Folayan M.O., Franklin R.C., Gad M.M., Gaidhane S., Gardner W.M., Geberemariyam B.S., Gebregiorgis B.G., Gebremedhin K.B., Gebremichael B., Ghaffarpasand F., Gilani S.A., Ginindza T.G., Glagn M., Golechha M., Gonfa K.B., Goulart B.N.G., Gudi N., Guido D., Guled R.A., Guo Y., Hamidi S., Handiso D.W., Hasaballah A.I., Hassan A., Hayat K., Hegazy M.I., Heidari B., Henry N.J., Herteliu C., de Hidru H.D., Ho H.C., Hoang C.L., Holla R., Hon J., Hosseini M., Hosseinzadeh M., Househ M., Hsairi M., Hu G., Huda T.M., Hwang B.-F., Ibitoye S.E., Ilesanmi O.S., Ilic I.M., Ilic M.D., Inbaraj L.R., Iqbal U., Irvani S.S.N., Islam M.M., Iwu C.C.D., Iwu C.J., Jain A., Janodia M.D., Javaheri T., John-Akinola Y.O., Johnson K.B., Joukar F., Jozwiak J.J., Kabir A., Kalankesh L.R., Kalhor R., Kamath A., Kamyari N., Kanchan O.T., Kapoor N., Matin B.K., Karimi S.E., Kasaye H.K., Kassahun G., Kassebaum N.J., Kayode G.A., Karyani A.K., Keiyoro P.N., Kelkay B., Khalid N., Khan M.N., Khatab K., Khater A.M., Khater M.M., Khatib M.N., Kim Y.J., Kimokoti R.W., Kinyoki D.K., Kisa A., Kisa S., Kosen S., Krishan K., Kulkarni V., Kumar G.A., Kumar M., Kumar N., Kumar P., Kurmi O.P., Kusuma D., Vecchia C.L., Lad S.D., Lami F.H., Landires I., Lansingh V.C., Lasrado S., Lee P.H., LeGrand K.E., Letourneau I.D., Lewycka S., Li B., Li M.-C., Li S., Liu X., Lodha R., Lopez J.C.F., Louie C., Machado D.B., Maled V., Maleki S., Malta D.C., Mamun A.A., Manafi N., Mansournia M.A., Mapoma C.C., Marczak L.B., Martins-Melo F.R., Mehndiratta M.M., Mejia-Rodriguez F., Mekonnen T.C., Mendoza W., Menezes R.G., Mengesha E.W., Mersha A.M., Miller T.R., Mini G.K., Mirrakhimov E.M., Misra S., Moghadaszadeh M., Mohammad D.K., Mohammadian-Hafshejani A., Mohammed J.A., Mohammed S., Mokdad A.H., Montero-Zamora P.A., Moradi M., Moradzadeh R., Moraga P., Mosser J.F., Mousavi S.M., Khaneghah A.M., Munro S.B., Muriithi M.K., Mustafa G., Muthupandian S., Nagarajan A.J., Naik G., Naimzada M.D., Nangia V., Nascimento B.R., Nayak V.C., Ndejjo R., Ndwandwe D.E., Negoi I., Nguefack-Tsague G., Ngunjiri J.W., Nguyen C.T., Nguyen D.N., Nguyen H.L.T., Nigussie S.N., Nigussie T.T.N., Nikbakhsh R., Nnaji C.A., Nunez-Samudio V., Oancea B., Oghenetega O.B., Olagunju A.T., Olusanya B.O., Olusanya J.O., Omer M.O., Onwujekwe O.E., Ortega-Altamirano D.V., Osgood-Zimmerman A.E., Otstavnov N., Otstavnov S.S., Owolabi M.O., Mahesh P.A., Padubidri J.R., Pana A., Pandey A., Pandi-Perumal S.R., Pangaribuan H.U., Parsekar S.S., Pasupula D.K., Patel U.K., Pathak A., Pathak M., Pattanshetty S.M., Patton G.C., Paulos K., Pepito V.C.F., Pickering B.V., Pinheiro M., Piwoz E.G., Pokhrel K.N., Pourjafar H., Prada S.I., Pribadi D.R.A., Syed Z.Q., Rabiee M., Rabiee N., Rahim F., Rahimzadeh S., Rahman A., Rahman M.H.U., Rahmani A.M., Rai R.K., Ranabhat C.L., Rao S.J., Rastogi P., Rathi P., Rawaf D.L., Rawaf S., Rawassizadeh R., Rawat R., Regassa L.D., Rego M.A.S., Reiner R.C., Reshmi B., Rezapour A., Ribeiro A.I., Rickard J., Roever L., Rumisha S.F., Rwegerera G.M., Sagar R., Sajadi S.M., Salem M.R., Samy A.M., Santric-Milicevic M.M., Saraswathy S.Y.I., Sarker A.R., Sartorius B., Sathian B., Saxena D., Sbarra A.N., Sengupta D., Senthilkumaran S., Sha F., Shafaat O., Shaheen A.A., Shaikh M.A., Shalash A.S., Shannawaz M., Sheikh A., Shetty B.S.K., Shetty R.S., Shibuya K., Shiferaw W.S., Shin J.I., Silva D.A.S., Singh N.P., Singh P., Singh S., Sintayehu Y., Skryabin V.Y., Skryabina A.A., Soheili A., Soltani S., Sorrie M.B., Spurlock E.E., Steuben K.M., Sudaryanto A., Sufiyan M.B., Swartz S.J., Tadesse E.G., Tamiru A.T., Tapak L., Tareque M.I., Tarigan I.U., Tesema G.A., Tesfay F.H., Teshome A., Tessema Z.T., Thankappan K.R., Thapar R., Thomas N., Topor-Madry R., Tovani-Palone M.R., Traini E., Tran B.X., Truong P.N., Tsegaye B.T.B.T., Ullah I., Umeokonkwo C.D., Unnikrishnan B., Upadhyay E., Uzochukwu B.S.C., VanderHeide J.D., Violante F.S., Vo B., Wado Y.D., Waheed Y., Wamai R.G., Wang F., Wang Y., Wang Y.-P., Wickramasinghe N.D., Wiens K.E., Wiysonge C.S., Woyczynski L., Wu A.-M., Wu C., Yamada T., Yaya S., Yeshaneh A., Yeshaw Y., Yeshitila Y.G., Yilma M.T., Yip P., Yonemoto N., Yosef T., Younis M.Z., Yousuf A.Y., Yu C., Yu Y., Yuce D., Zafar S., Zaidi S.S., Zaki L., Zakzuk J., Zamanian M., Zar H.J., Zastrozhin M.S., Zastrozhina A., Zelellw D.A., Zhang Y., Zhang Z.-J., Zhao X.-J.G., Zodpey S., Zuniga Y.M.H., Collaborators, Local Burden of Disease Exclusive Breastfeeding, and Instituto de Saúde Pública da Universidade do Porto

Subjects
RJ101, Psychological intervention, Breastfeeding, Social Sciences, geography, Behavioral Neuroscience, 0302 clinical medicine, RA0421, Prevalence, Psychology, policy making, 030212 general & internal medicine, Policy Making, humans, media_common, CHILD GROWTH FAILURE, Developing world, 0303 health sciences, education.field_of_study, Psychology, Biological, Geography, Psychology, Experimental, Health Status Disparitie, Multidisciplinary Sciences, Breast Feeding, breast feeding, Scale (social sciences), Science & Technology - Other Topics, Life Sciences & Biomedicine, Human, AFRICA, Social Psychology, Inequality, spatial analysis, media_common.quotation_subject, public policy, Population, prevalence, Public policy, Developing country, Experimental and Cognitive Psychology, Public Policy, Local Burden of Disease Exclusive Breastfeeding Collaborators, Article, Developing Countrie, 03 medical and health sciences, Environmental health, Humans, Nutrition disorders, education, Developing Countries, 030304 developmental biology, Spatial Analysis, Science & Technology, Neurosciences, Health Status Disparities, developing countries, health status disparities, Risk factors, Neurosciences & Neurology, Breast feeding
Abstract

Exclusive breastfeeding (EBF)—giving infants only breast-milk for the first 6 months of life—is a component of optimal breastfeeding practices effective in preventing child morbidity and mortality. EBF practices are known to vary by population and comparable subnational estimates of prevalence and progress across low- and middle-income countries (LMICs) are required for planning policy and interventions. Here we present a geospatial analysis of EBF prevalence estimates from 2000 to 2018 across 94 LMICs mapped to policy-relevant administrative units (for example, districts), quantify subnational inequalities and their changes over time, and estimate probabilities of meeting the World Health Organization’s Global Nutrition Target (WHO GNT) of ≥70% EBF prevalence by 2030. While six LMICs are projected to meet the WHO GNT of ≥70% EBF prevalence at a national scale, only three are predicted to meet the target in all their district-level units by 2030., Bhattacharjee and Schaeffer et al. map exclusive breastfeeding (EBF) in 94 low- and middle-income countries (LMICs), finding increased EBF practice and reduced subnational variation across the majority of LMICs from 2000 to 2018. However, only six LMICs will meet WHO’s target of ≥70% EBF by 2030 nationally, and only three will achieve this in all districts.

Published
2021

39. Global, regional, and national mortality among young people aged 10–24 years, 1950–2019: a systematic analysis for the Global Burden of Disease Study 2019

Author

Collaborators, GAM, Ward, JL, Azzopardi, PS, Francis, KL, Santelli, JS, Skirbekk, V, Sawyer, SM, Kassebaum, NJ, Mokdad, AH, Hay, SI, Abd-Allah, F, Abdoli, A, Abdollahi, M, Abedi, A, Abolhassani, H, Abreu, LG, Abrigo, MRM, Abu-Gharbieh, E, Abushouk, AI, Adebayo, OM, Adekanmbi, V, Adham, D, Advani, SM, Afshari, K, Agrawal, A, Ahmad, T, Ahmadi, K, Ahmed, AE, Aji, B, Akombi-Inyang, B, Alahdab, F, Al-Aly, Z, Alam, K, Alanezi, FM, Alanzi, TM, Alcalde-Rabanal, JE, Alemu, BW, Al-Hajj, S, Alhassan, RK, Ali, S, Alicandro, G, Alijanzadeh, M, Aljunid, SM, Almasi-Hashiani, A, Almasri, NA, Al-Mekhlafi, HM, Alonso, J, Al-Raddadi, RM, Altirkawi, KA, Alvis-Guzman, N, Amare, AT, Amini, S, Aminorroaya, A, Amit, AML, Amugsi, DA, Ancuceanu, R, Anderlini, D, Andrei, CL, Androudi, S, Ansari, F, Ansari, I, Antonio, CAT, Anvari, D, Anwer, R, Appiah, SCY, Arabloo, J, Arab-Zozani, M, Ärnlöv, J, Asaad, M, Asadi-Aliabadi, M, Asadi-Pooya, AA, Atout, MMW, Ausloos, M, Avenyo, EK, Avila-Burgos, L, Quintanilla, BPA, Ayano, G, Aynalem, YA, Azari, S, Azene, ZN, Bakhshaei, MH, Bakkannavar, SM, Banach, M, Banik, PC, Barboza, MA, Barker-Collo, SL, Bärnighausen, TW, Basu, S, Baune, BT, Bayati, M, Bedi, N, Beghi, E, Bekuma, TT, Bell, AW, Bell, ML, Benjet, C, Bensenor, IM, Berhe, AK, Berhe, K, Berman, AE, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhattacharyya, K, Bhattarai, S, Bhutta, ZA, Bijani, A, Bikbov, B, Biondi, A, Birhanu, TTM, Biswas, RK, Bohlouli, S, Bolla, SR, Boloor, A, Borschmann, R, Boufous, S, Bragazzi, NL, Braithwaite, D, Breitborde, NJK, Brenner, H, Britton, GB, Burns, RA, Nagaraja, SB, Butt, ZA, dos Santos, FLC, Cámera, LA, Campos-Nonato, IR, Rincon, JCC, Cárdenas, R, Carreras, G, Carrero, JJ, Carvalho, F, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catalá-López, F, Cerin, E, Chandan, JS, Chang, H-Y, Chang, J-C, Charan, J, Chattu, VK, Chaturvedi, S, Choi, J-YJ, Chowdhury, MAK, Christopher, DJ, Chu, D-T, Chung, MT, Chung, S-C, Cicuttini, FM, Constantin, TV, Costa, VM, Dahlawi, SMA, Dai, H, Dai, X, Damiani, G, Dandona, L, Dandona, R, Daneshpajouhnejad, P, Darwesh, AM, Dávila-Cervantes, CA, Davletov, K, De la Hoz, FP, De Leo, D, Dervenis, N, Desai, R, Desalew, A, Deuba, K, Dharmaratne, SD, Dhungana, GP, Dianatinasab, M, da Silva, DD, Diaz, D, Didarloo, A, Djalalinia, S, Dorostkar, F, Doshi, CP, Doshmangir, L, Doyle, KE, Duraes, AR, Kalan, ME, Ebtehaj, S, Edvardsson, D, Tantawi, ME, Elgendy, IY, El-Jaafary, SI, Elsharkawy, A, Eshrati, B, Eskandarieh, S, Esmaeilnejad, S, Esmaeilzadeh, F, Esteghamati, S, Faro, A, Farzadfar, F, Fattahi, N, Feigin, VL, Ferede, TY, Fereshtehnejad, S-M, Fernandes, E, Ferrara, P, Filip, I, Fischer, F, Fisher, JL, Foigt, NA, Folayan, MO, Fomenkov, AA, Foroutan, M, Fukumoto, T, Gad, MM, Gaidhane, AM, Gallus, S, Gebre, T, Gebremedhin, KB, Gebremeskel, GG, Gebremeskel, L, Gebreslassie, AA, Gesesew, HA, Ghadiri, K, Ghafourifard, M, Ghamari, F, Ghashghaee, A, Gilani, SA, Gnedovskaya, EV, Godinho, MA, Golechha, M, Goli, S, Gona, PN, 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M., Value, Affordability and Sustainability (VALUE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Microbes in Health and Disease (MHD), Bill & Melinda Gates Foundation, Ward J.L., Azzopardi P.S., Francis K.L., Santelli J.S., Skirbekk V., Sawyer S.M., Kassebaum N.J., Mokdad A.H., Hay S.I., Abd-Allah F., Abdoli A., Abdollahi M., Abedi A., Abolhassani H., Abreu L.G., Abrigo M.R.M., Abu-Gharbieh E., Abushouk A.I., Adebayo O.M., Adekanmbi V., Adham D., Advani S.M., Afshari K., Agrawal A., Ahmad T., Ahmadi K., Ahmed A.E., Aji B., Akombi-Inyang B., Alahdab F., Al-Aly Z., Alam K., Alanezi F.M., Alanzi T.M., Alcalde-Rabanal J.E., Alemu B.W., Al-Hajj S., Alhassan R.K., Ali S., Alicandro G., Alijanzadeh M., Aljunid S.M., Almasi-Hashiani A., Almasri N.A., Al-Mekhlafi H.M., Alonso J., Al-Raddadi R.M., Altirkawi K.A., Alvis-Guzman N., Amare A.T., Amini S., Aminorroaya A., Amit A.M.L., Amugsi D.A., Ancuceanu R., Anderlini D., Andrei C.L., Androudi S., Ansari 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Moraga, P, Morrison, S, Mosapour, A, Mousavi Khaneghah, A, Mueller, U, Muriithi, M, Murray, C, Muthupandian, S, Naderi, M, Nagarajan, A, Naghavi, M, Naimzada, M, Nangia, V, Nayak, V, Nazari, J, Ndejjo, R, Negoi, I, Negoi, R, Netsere, H, Nguefack-Tsague, G, Nguyen, D, Nguyen, H, Nie, J, Ningrum, D, Nnaji, C, Nomura, S, Noubiap, J, Nowak, C, Nunez-Samudio, V, Ogbo, F, Oghenetega, O, Oh, I, Oladnabi, M, Olagunju, A, Olusanya, B, Olusanya, J, Omar Bali, A, Omer, M, Onwujekwe, O, Ortiz, A, Otoiu, A, Otstavnov, N, Otstavnov, S, Overland, S, Owolabi, M, P A, M, Padubidri, J, Pakshir, K, Palladino, R, Pana, A, Panda-Jonas, S, Pandey, A, Panelo, C, Park, E, Patten, S, Peden, A, Pepito, V, Peprah, E, Pereira, J, Pesudovs, K, Pham, H, Phillips, M, Piradov, M, Pirsaheb, M, Postma, M, Pottoo, F, Pourjafar, H, Pourshams, A, Prada, S, Pupillo, E, Quazi Syed, Z, Rabiee, M, Rabiee, N, Radfar, A, Rafiee, A, Raggi, A, Rahim, F, Rahimi-Movaghar, V, Rahman, M, Ramezanzadeh, K, Ranabhat, C, Rao, S, Rashedi, V, Rastogi, P, Rathi, P, Rawaf, D, Rawaf, S, Rawal, L, Rawassizadeh, R, Renzaho, A, Rezaei, N, Rezai, M, Riahi, S, Rickard, J, Roever, L, Ronfani, L, Roth, G, Rubagotti, E, Rumisha, S, Rwegerera, G, Sabour, S, Sachdev, P, Saddik, B, Sadeghi, E, Saeedi Moghaddam, S, Sagar, R, Sahebkar, A, Sahraian, M, Sajadi, S, Salem, M, Salimzadeh, H, Samy, A, Sanabria, J, Santric-Milicevic, M, Saraswathy, S, Sarrafzadegan, N, Sarveazad, A, Sathish, T, Sattin, D, Saxena, D, Saxena, S, Schiavolin, S, Schwebel, D, Schwendicke, F, Senthilkumaran, S, Sepanlou, S, Sha, F, Shafaat, O, Shahabi, S, Shaheen, A, Shaikh, M, Shakiba, S, Shamsi, M, Shannawaz, M, Sharafi, K, Sheikh, A, Sheikhbahaei, S, Shetty, B, Shi, P, Shigematsu, M, Shin, J, Shiri, R, Shuval, K, Siabani, S, Sigfusdottir, I, Sigurvinsdottir, R, Silva, D, Silva, J, Simonetti, B, Singh, J, Singh, V, Sinke, A, Skryabin, V, Slater, H, Smith, E, Sobhiyeh, M, Sobngwi, E, Soheili, A, Somefun, O, Sorrie, M, Soyiri, I, Sreeramareddy, C, Stein, D, Stokes, M, Sudaryanto, A, Sultan, I, Tabares-Seisdedos, R, Tabuchi, T, Tadakamadla, S, Taherkhani, A, Tamiru, A, Tareque, M, Thankappan, K, Thapar, R, Thomas, N, Titova, M, Tonelli, M, Tovani-Palone, M, Tran, B, Travillian, R, Tsai, A, Tsatsakis, A, Tudor Car, L, Uddin, R, Unim, B, Unnikrishnan, B, Upadhyay, E, Vacante, M, Valadan Tahbaz, S, Valdez, P, Varughese, S, Vasankari, T, Venketasubramanian, N, Villeneuve, P, Violante, F, Vlassov, V, Vos, T, Vu, G, Waheed, Y, Wamai, R, Wang, Y, Westerman, R, Wickramasinghe, N, Wu, A, Wu, C, Yahyazadeh Jabbari, S, Yamagishi, K, Yano, Y, Yaya, S, Yazdi-Feyzabadi, V, Yeshitila, Y, Yip, P, Yonemoto, N, Yoon, S, Younis, M, Yousefinezhadi, T, Yu, C, Yu, Y, Yuce, D, Zaidi, S, Zaman, S, Zamani, M, Zamanian, M, Zarafshan, H, Zarei, A, Zastrozhin, M, Zhang, Y, Zhang, Z, Zhao, X, Zhu, C, Patton, G, and Viner, R

Subjects
Male, Joves -- Mortalitat, ADOLESCENT HEALTH, CHILDREN, Socioeconomic Factor, Global Burden of Disease, RA0421, Cause of Death, Medicine, Young adult, Child, 11 Medical and Health Sciences, Cause of death, education.field_of_study, Adolescent, Age Distribution, Female, Humans, Mortality, Sex Distribution, Socioeconomic Factors, Young Adult, Mortality rate, Public Health, Global Health, Social Medicine and Epidemiology, General Medicine, Articles, Hälsovetenskaper, MIDDLE-INCOME, MENTAL-HEALTH, Adolescent health, INTERVENTIONS, Human, SUICIDE, Total fertility rate, Population, Adolescent Health, Adolescents -- Mortalitat, General & Internal Medicine, Health Sciences, QUALITY, Medicine [Science], Social determinants of health, INCOME COUNTRIES, education, business.industry, TRENDS, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Years of potential life lost, INJURIES, business, Demography
Abstract

Background Documentation of patterns and long-term trends in mortality in young people, which reflect huge changes in demographic and social determinants of adolescent health, enables identification of global investment priorities for this age group. We aimed to analyse data on the number of deaths, years of life lost, and mortality rates by sex and age group in people aged 10–24 years in 204 countries and territories from 1950 to 2019 by use of estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Methods We report trends in estimated total numbers of deaths and mortality rate per 100 000 population in young people aged 10–24 years by age group (10–14 years, 15–19 years, and 20–24 years) and sex in 204 countries and territories between 1950 and 2019 for all causes, and between 1980 and 2019 by cause of death. We analyse variation in outcomes by region, age group, and sex, and compare annual rate of change in mortality in young people aged 10–24 years with that in children aged 0–9 years from 1990 to 2019. We then analyse the association between mortality in people aged 10–24 years and socioeconomic development using the GBD Socio-demographic Index (SDI), a composite measure based on average national educational attainment in people older than 15 years, total fertility rate in people younger than 25 years, and income per capita. We assess the association between SDI and all-cause mortality in 2019, and analyse the ratio of observed to expected mortality by SDI using the most recent available data release (2017). Findings In 2019 there were 1·49 million deaths (95% uncertainty interval 1·39–1·59) worldwide in people aged 10–24 years, of which 61% occurred in males. 32·7% of all adolescent deaths were due to transport injuries, unintentional injuries, or interpersonal violence and conflict; 32·1% were due to communicable, nutritional, or maternal causes; 27·0% were due to non-communicable diseases; and 8·2% were due to self-harm. Since 1950, deaths in this age group decreased by 30·0% in females and 15·3% in males, and sex-based differences in mortality rate have widened in most regions of the world. Geographical variation has also increased, particularly in people aged 10–14 years. Since 1980, communicable and maternal causes of death have decreased sharply as a proportion of total deaths in most GBD super-regions, but remain some of the most common causes in sub-Saharan Africa and south Asia, where more than half of all adolescent deaths occur. Annual percentage decrease in all-cause mortality rate since 1990 in adolescents aged 15–19 years was 1·3% in males and 1·6% in females, almost half that of males aged 1–4 years (2·4%), and around a third less than in females aged 1–4 years (2·5%). The proportion of global deaths in people aged 0–24 years that occurred in people aged 10–24 years more than doubled between 1950 and 2019, from 9·5% to 21·6%. Interpretation Variation in adolescent mortality between countries and by sex is widening, driven by poor progress in reducing deaths in males and older adolescents. Improving global adolescent mortality will require action to address the specific vulnerabilities of this age group, which are being overlooked. Furthermore, indirect effects of the COVID-19 pandemic are likely to jeopardise efforts to improve health outcomes including mortality in young people aged 10–24 years. There is an urgent need to respond to the changing global burden of adolescent mortality, address inequities where they occur, and improve the availability and quality of primary mortality data in this age group. Funding Bill & Melinda Gates Foundation.

Published
2021

40. Research priorities to reduce the impact of COVID-19 in low- and middle-income countries

Author

Polasek, O, Wazny, K, Adeloye, D, Song, P, Chan, KY, Bojude, DA, Ali, S, Bastien, S, Becerra-Posada, F, Borrescio-Higa, F, Cheema, S, Cipta, DA, Cvjetkovic, S, Castro, LD, Ebenso, B, Femi-Ajao, O, Ganesan, B, Glasnovic, A, He, L, Heraud, JM, Igwesi-Chidobe, C, Iversen, PO, Jadoon, B, Karim, AJ, Khan, J, Biswas, RK, Lanza, G, Lee, SWH, Li, Y, Liang, L-L, Lowe, M, Islam, MM, Marusic, A, Mshelia, S, Manyara, AM, Htay, MNN, Parisi, M, Peprah, P, Sacks, E, Akinyemi, KO, Shahraki-Sanavi, F, Sharov, K, Rotarou, ES, Stankov, S, Supriyatiningsih, W, Chan, BTY, Tremblay, M, Tsimpida, D, Vento, S, Glasnovic, J, Wang, L, Wang, X, Ng, ZX, Zhang, J, Zhang, Y, Campbell, H, Chopra, M, Cousens, S, Krstic, G, Macdonald, C, Mansoori, P, Patel, S, Sheikh, A, Tomlinson, M, Tsai, AC, Yoshida, S, Rudan, I, Polasek, O, Wazny, K, Adeloye, D, Song, P, Chan, KY, Bojude, DA, Ali, S, Bastien, S, Becerra-Posada, F, Borrescio-Higa, F, Cheema, S, Cipta, DA, Cvjetkovic, S, Castro, LD, Ebenso, B, Femi-Ajao, O, Ganesan, B, Glasnovic, A, He, L, Heraud, JM, Igwesi-Chidobe, C, Iversen, PO, Jadoon, B, Karim, AJ, Khan, J, Biswas, RK, Lanza, G, Lee, SWH, Li, Y, Liang, L-L, Lowe, M, Islam, MM, Marusic, A, Mshelia, S, Manyara, AM, Htay, MNN, Parisi, M, Peprah, P, Sacks, E, Akinyemi, KO, Shahraki-Sanavi, F, Sharov, K, Rotarou, ES, Stankov, S, Supriyatiningsih, W, Chan, BTY, Tremblay, M, Tsimpida, D, Vento, S, Glasnovic, J, Wang, L, Wang, X, Ng, ZX, Zhang, J, Zhang, Y, Campbell, H, Chopra, M, Cousens, S, Krstic, G, Macdonald, C, Mansoori, P, Patel, S, Sheikh, A, Tomlinson, M, Tsai, AC, Yoshida, S, and Rudan, I

Abstract

BACKGROUND: The COVID-19 pandemic has caused disruptions to the functioning of societies and their health systems. Prior to the pandemic, health systems in low- and middle-income countries (LMIC) were particularly stretched and vulnerable. The International Society of Global Health (ISoGH) sought to systematically identify priorities for health research that would have the potential to reduce the impact of the COVID-19 pandemic in LMICs. METHODS: The Child Health and Nutrition Research Initiative (CHNRI) method was used to identify COVID-19-related research priorities. All ISoGH members were invited to participate. Seventy-nine experts in clinical, translational, and population research contributed 192 research questions for consideration. Fifty-two experts then scored those questions based on five pre-defined criteria that were selected for this exercise: 1) feasibility and answerability; 2) potential for burden reduction; 3) potential for a paradigm shift; 4) potential for translation and implementation; and 5) impact on equity. RESULTS: Among the top 10 research priorities, research questions related to vaccination were prominent: health care system access barriers to equitable uptake of COVID-19 vaccination (ranked 1st), determinants of vaccine hesitancy (4th), development and evaluation of effective interventions to decrease vaccine hesitancy (5th), and vaccination impacts on vulnerable population/s (6th). Health care delivery questions also ranked highly, including: effective strategies to manage COVID-19 globally and in LMICs (2nd) and integrating health care for COVID-19 with other essential health services in LMICs (3rd). Additionally, the assessment of COVID-19 patients' needs in rural areas of LMICs was ranked 7th, and studying the leading socioeconomic determinants and consequences of the COVID-19 pandemic in LMICs using multi-faceted approaches was ranked 8th. The remaining questions in the top 10 were: clarifying paediatric case-fatality rates (CFR) in

Published
2022

41. Knowledge, Attitudes, and Common Practices of Livestock and Poultry Veterinary Practitioners Regarding the AMU and AMR in Bangladesh

Author

Kalam, MA, Rahman, MS, Alim, MA, Shano, S, Afrose, S, Jalal, FA, Akter, S, Khan, SA, Islam, MM, Uddin, MB, Islam, Ariful, Magalhães, RJS, Hassan, MM, Kalam, MA, Rahman, MS, Alim, MA, Shano, S, Afrose, S, Jalal, FA, Akter, S, Khan, SA, Islam, MM, Uddin, MB, Islam, Ariful, Magalhães, RJS, and Hassan, MM

Abstract

Current evidence indicates that more than half of all antimicrobials are used in the animal food-producing sector, which is considered a significant risk factor for the development, spread, and existence of antimicrobial resistance (AMR) pathogens in animals, humans, and the environment. Among other factors, clinical etiology and the level of knowledge, attitudes, and practices (KAP) of veterinarians are thought to be responsible for inappropriate prescriptions in the animal-source protein production sector in lower-resource settings like Bangladesh. We performed this cross-sectional study to assess factors associated with veterinarians’ antimicrobial prescription behavior and their KAP on antimicrobial use (AMU) and AMR in Bangladesh. Exploratory and multivariate logistic models were used to describe an association between knowledge, attitudes, and practices of AMU and AMR and demographic characteristics of veterinarians. The results demonstrated that when selecting an antimicrobial, there was no to minimal influence of culture and susceptibility tests and patients’ AMU history but moderate to high influence of the farmer’s economic condition and drug instructions among the veterinarians. The results also demonstrated that more than half of the veterinarians had correct KAP regarding AMU and AMR, while the rest had moderate or lower levels of KAP. The factor score analysis revealed that age, level of education, years of experience, gender, and previous training on AMU and AMR were the key influencing factors in their level of KAP. Adjusted logistic regression analysis showed that respondents’ age, current workplace, and previous training on AMU and AMR had a positive association with increased KAP. Considering the results, it is imperative to include AMR issues on vet curricula, and to provide post-education training, awareness campaigns, easy access to, and dissemination of AMR resources. Increasing the veterinary services to the outreach areas of the country and

Published
2022

42. Halotolerant biofilm-producing rhizobacteria mitigate seawater-induced salt stress and promote growth of tomato

Author

Haque, MM, Biswas, MS, Mosharaf, MK, Haque, Amdadul, Islam, MS, Nahar, K, Islam, MM, Shozib, HB, Ferdous-E-Elahi, Haque, MM, Biswas, MS, Mosharaf, MK, Haque, Amdadul, Islam, MS, Nahar, K, Islam, MM, Shozib, HB, and Ferdous-E-Elahi

Abstract

Biofilm-producing rhizobacteria (BPR) enhance productivity and mitigate abiotic stresses in plants. This study showed that 21 out of 65 halotolerant rhizobacteria could build biofilms. The components of the biofilm matrices i.e., extracellular polymeric substances (EPS) are proteins, curli, nanocelloluse, nucleic acids, lipids, and peptidoglycans. Various functional groups including carbonyl, carboxyl, amino, hydroxyl, and phosphate were identified. Positions of these groups were shifted by application of 5% NaCl, suggesting Na+ biosorption. By sequencing, Glutamicibacter arilaitensis (ESK1, ESM4 and ESM7), G. nicotianae (ESK19, ESM8 and ESM16), Enterobacter ludwigii (ESK15, ESK17, ESM2 and ESM17), E. cloacae (ESM5 and ESM12), Exiguobacterium acetylicum (ESM24 and ESM25), Staphylococcus saprophyticus ESK6, Leclercia adecarboxylata ESK12, Pseudomonas poae ESK16, Bacillus subtilis ESM14, and P. putida ESM17 were identified. These rhizobacteria exhibited numerous plant growth-promoting (PGP) activities including producing IAA, ACC deaminase, and siderophores, and solubilizing phosphate. Under non-stress, bacterized plants increased biomass accumulation (8–23.2% roots and 23–49.4% shoots), while under seawater-induced salt stress only ESK12, ESM4, ESM12, and ESM14 enhanced biomass production (5.8–52.9% roots and 8.8–33.4% shoots). Bacterized plants induced antioxidant defense system (19.5–142% catalase and 12.3–24.2% DPPH radical scavenging activity), retained a greater relative water content (17–124%), showed lesser membrane injuries (19.9–26.5%), and a reduced Na+ (6–24% in roots) and increased K+/Na+ ratio (78.8 and 103% in roots by ESK12 and ESM24, respectively) than the non-bacterized plants in saline conditions. Thus, native halotolerant BPR can be utilized as ameliorators of salt stress.

Published
2022

44. Adolescent transport and unintentional injuries: a systematic analysis using the Global Burden of Disease Study 2019

Author

Peden, AE, Cullen, P, Francis, KL, Moeller, H, Peden, MM, Ye, P, Tian, M, Zou, Z, Sawyer, SM, Aali, A, Abbasi-Kangevari, Z, Abbasi-Kangevari, M, Abdelmasseh, M, Abdoun, M, Abd-Rabu, R, Abdulah, DM, Abdurehman, AM, Abebe, G, Abebe, AM, Abedi, A, Abidi, H, Aboagye, RG, Ali, HA, Abu-Gharbieh, E, Adane, DE, Adane, TD, Addo, IY, Adewole, OG, Adhikari, S, Adnan, M, Adnani, QES, Afolabi, AAB, Afzal, S, Afzal, MS, Aghdam, ZB, Ahinkorah, BO, Ahmad, AR, Ahmad, T, Ahmad, S, Ahmadi, A, Ahmed, H, Ahmed, MB, Ahmed, A, Ahmed, JQ, Rashid, TA, Aithala, JP, Aji, B, Akhlaghdoust, M, Alahdab, F, Alanezi, FM, Alemayehu, A, Al Hamad, H, Ali, SS, Ali, L, Alimohamadi, Y, Alipour, V, Aljunid, SM, Almidani, L, Almustanyir, S, Altirkawi, KA, Alvis-Zakzuk, NJ, Ameyaw, EK, Amin, TT, Amir-Behghadami, M, Amiri, S, Amiri, H, Anagaw, TF, Andrei, T, Andrei, CL, Anvari, D, Anwar, SL, Anyasodor, AE, Arabloo, J, Arab-Zozani, M, Arja, A, Arulappan, J, Arumugam, A, Aryannejad, A, Asgary, S, Ashraf, T, Athari, SS, Atreya, A, Attia, S, Aujayeb, A, Awedew, AF, Azadnajafabad, S, Azangou-Khyavy, M, Azari, S, Jafari, AA, Azizi, H, Azzam, AY, Badiye, AD, Baghcheghi, N, Bagherieh, S, Baig, AA, Bakkannavar, SM, Balta, AB, Banach, M, Banik, PC, Bansal, H, Bardhan, M, Barone-Adesi, F, Barrow, A, Bashiri, A, Baskaran, P, Basu, S, Bayileyegn, NS, Bekel, AA, Bekele, AB, Bendak, S, Bensenor, IM, Berhie, AY, Bhagat, DS, Bhagavathula, AS, Bhardwaj, P, Bhardwaj, N, Bhaskar, S, Bhat, AN, Bhattacharyya, K, Bhutta, ZA, Bibi, S, Bintoro, BS, Bitaraf, S, Bodicha, BBA, Boloor, A, Bouaoud, S, Brown, J, Burkart, K, Butt, NS, Butt, MH, Camera, LA, Rincon, JCC, Cao, C, Carvalho, AF, Carvalho, M, Chakraborty, PA, Chandrasekar, EK, Chang, J-C, Charalampous, P, Charan, J, Chattu, VK, Chekole, BM, Chitheer, A, Cho, DY, Chopra, H, Christopher, DJ, Chukwu, IS, Cruz-Martins, N, Dadras, O, Dahlawi, SMA, Dai, X, Damiani, G, Darmstadt, GL, Soltani, RDC, Darwesh, AM, Das, S, Dastiridou, A, Debela, SA, Dehghan, A, Demeke, GM, Demetriades, AK, Demissie, S, Dessalegn, FN, Desta, AA, Dianatinasab, M, Diao, N, da Silva, DD, Diaz, D, Digesa, LE, Diress, M, Djalalinia, S, Linh, PD, Dodangeh, M, Doku, PN, Dongarwar, D, Dsouza, HL, Eini, E, Ekholuenetale, M, Ekundayo, TC, Elagali, AEM, Elbahnasawy, MA, Elhabashy, HR, Elhadi, M, Zaki, MES, Enyew, DB, Erkhembayar, R, Eskandarieh, S, Etaee, F, Fagbamigbe, AF, Faris, PS, Farmany, A, Faro, A, Farzadfar, F, Fatehizadeh, A, Fereshtehnejad, S-M, Feroze, AH, Fetensa, G, Feyisa, BR, Filip, I, Fischer, F, Foroutan, B, Foroutan, M, Fowobaje, KR, Franklin, RC, Fukumoto, T, Gaal, PA, Gadanya, MA, Galali, Y, Galehdar, N, Ganesan, B, Garg, T, Gebrehiwot, MGD, Gebremariam, YH, Gela, YY, Gerema, U, Ghafourifard, M, Ghamari, S-H, Ghanbari, R, Nour, MG, Gholamalizadeh, M, Gholami, A, Gholamrezanezhad, A, Ghozy, S, Gilani, SA, Gill, TK, Gine-Vazquez, I, Girma, ZA, Glasbey, JC, Glozah, FN, Golechha, M, Goleij, P, Grivna, M, Guadie, HA, Gunawardane, DA, Guo, Y, Gupta, VB, Gupta, S, Gupta, B, Gupta, VK, Haj-Mirzaian, A, Halwani, R, Hamadeh, RR, Hameed, S, Hanfore, LK, Hanif, A, Hargono, A, Harlianto, NI, Harorani, M, Hasaballah, AI, Hasan, SMM, Hassan, A, Hassanipour, S, Hassankhani, H, Havmoeller, RJ, Hay, SI, Heidari, M, Hendrie, D, Heyi, DZ, Hiraike, Y, Holla, R, Horita, N, Hossain, SJ, Hossain, MBH, Shabanan, SH, Hosseinzadeh, M, Hostiuc, S, Hoveidaei, AH, Hsiao, AK, Hussain, S, Hussein, A, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imani, B, Immurana, M, Inbaraj, LR, Islam, SMS, Islam, RM, Islam, MM, Ismail, NE, Merin, LJ, Jahrami, H, Jakovljevic, M, Janodia, MD, Javaheri, T, Jayapal, SK, Jayarajah, UU, Jayaraman, S, Jeganathan, J, Jemal, B, Jha, RP, Jonas, JB, Joo, T, Joseph, N, Jozwiak, JJ, Jurisson, M, Kabir, A, Kadashetti, V, Kadir, DH, Kalankesh, LR, Kalhor, R, Kamal, VK, Kamath, R, Kandel, H, Kantar, RS, Kapoor, N, Karami, H, Karaye, IM, Karkhah, S, Katoto, PDMC, Kauppila, JH, Kayode, GA, Keikavoosi-Arani, L, Keskin, C, Khader, YS, Khajuria, H, Khammarnia, M, Khan, EA, Khan, MN, Khan, M, Khan, YH, Khan, IA, Khan, A, Khan, MAB, Khanali, J, Khatatbeh, MM, Kashani, HRK, Khazaie, H, Khubchandani, J, Kifle, ZD, Kim, J, Kim, YJ, Kisa, S, Kisa, A, Kneib, CJ, Kompani, F, Koohestani, HR, Koul, PA, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Krishnamoorthy, V, Bicer, BK, Kumar, N, Kumar, M, Kurmi, OP, Laflamme, L, Lam, J, Landires, I, Larijani, B, Lasrado, S, Lauriola, P, La Vecchia, C, Lee, SWH, Lee, YH, Lee, S-W, Lee, W-C, Legesse, SM, Li, S, Lim, SS, Lorenzovici, L, Luke, AO, Madadizadeh, F, Madureira-Carvalho, AM, Abd El Razek, MM, Mahjoub, S, Mahmoodpoor, A, Mahmoudi, R, Mahmoudimanesh, M, Majeed, A, Makki, A, Rad, EM, Malekpour, M-R, Malik, AA, Mallhi, TH, Malta, DC, Mansouri, B, Mansournia, MA, Mathews, E, Maulud, SQ, Mazingi, D, Nasab, EM, Mendoza-Cano, O, Menezes, RG, Mengistu, DA, Mentis, A-FA, Meretoja, A, Mesregah, MK, Mestrovic, T, Gomide Nogueira de Sa, ACM, Miller, TR, Mirghaderi, SP, Mirica, A, Mirmoeeni, S, Mirrakhimov, EM, Mirza, M, Misra, S, Mithra, P, Mittal, C, Moberg, ME, Mohammadi, M, Mohammadi, S, Mohammadi, E, Mohammadpourhodki, R, Mohammed, S, Mohammed, TA, Mohseni, M, Mokdad, AH, Momtazmanesh, S, Monasta, L, Moni, MA, Moreira, RS, Morrison, SD, Mostafavi, E, Isfahani, HM, Mubarik, S, Muccioli, L, Mukherjee, S, Mulita, F, Mustafa, G, Nagarajan, AJ, Naimzada, MD, Nangia, V, Nassereldine, H, Natto, ZS, Nayak, BP, Negoi, I, Nejadghaderi, SA, Nepal, S, Kandel, SN, Noroozi, N, Nunez-Samudio, V, Nzoputam, OJ, Nzoputam, CI, Ochir, C, Odhiambo, JN, Odukoya, OO, Okati-Aliabad, H, Okonji, OC, Olagunju, AT, Bali, AO, Omer, E, Otoiu, A, Otstavnov, SS, Otstavnov, N, Oumer, B, Owolabi, MO, Mahesh, PA, Padron-Monedero, A, Padubidri, JR, Fallahy, MTP, Panda-Jonas, S, Pandi-Perumal, SR, Pardhan, S, Park, E-K, Patel, SK, Pathan, AR, Pati, S, Paudel, U, Pawar, S, Pedersini, P, Peres, MFP, Petcu, I-R, Phillips, MR, Pillay, JD, Piracha, ZZ, Poursadeqiyan, M, Pourtaheri, N, Qattea, I, Radfar, A, Rafiee, A, Raghav, PR, Rahim, F, Rahman, MA, Rahman, FS, Rahman, M, Rahmani, AM, Rahmani, S, Moolambally, SR, Ramazanu, S, Ramezanzadeh, K, Rana, J, Rana, SM, Rao, CR, Rao, SJ, Rashedi, V, Rashidi, M-M, Rastogi, P, Rasul, A, Rawaf, S, Rawaf, DL, Rawal, L, Rawassizadeh, R, Rezaei, N, Rezaeian, M, Rezapour, A, Riad, A, Riaz, M, Rickard, J, Buendia Rodriguez, JA, Roever, L, Ronfani, L, Roy, B, Manjula, S, Saad, AMA, Sabour, S, Sabzmakan, L, Saddik, B, Sadeghi, M, Saeb, MR, Saeed, U, Moghaddam, SS, Safi, SZ, Sahiledengle, B, Sahoo, H, Sahraian, MA, Saki, M, Salamati, P, Salehi, S, Salem, MR, Samy, AM, Sanabria, J, Santric-Milicevic, MM, Saqib, MAN, Sarikhani, Y, Sarveazad, A, Sathian, B, Satpathy, M, Saya, GK, Ceola Schneider, IJ, Schwebel, DC, Seddighi, H, Senthilkumaran, S, Seylani, A, Shabaninejad, H, Shafeghat, M, Shah, PA, Shahabi, S, Shahbandi, A, Shahraki-Sanavi, F, Shaikh, MA, Shaker, E, Shams-Beyranvand, M, Shanawaz, M, Shannawaz, M, Sharew, MMS, Sharma, N, Shashamo, BB, Shayan, M, Sheikhi, RA, Shen, J, Shetty, BSK, Shetty, PH, Shin, JI, Shitaye, NA, Shivakumar, KM, Shobeiri, P, Shorofi, SA, Shrestha, S, Siabani, S, Sidemo, NB, Simegn, W, Sinaei, E, Singh, P, Sinto, R, Siraj, MS, Skryabin, VY, Skryabina, AA, Sleet, DA, Chandan, SN, Socea, B, Solmi, M, Solomon, Y, Song, Y, Sousa, RARC, Soyiri, IN, Stokes, MA, Suleman, M, Abdulkader, RS, Sun, J, Tabares-Seisdedos, R, Tabatabaei, SM, Tabish, M, Taheri, E, Soodejani, MT, Tampa, M, Tan, K-K, Tarigan, IU, Tariqujjaman, M, Tat, NY, Tat, VY, Tavakoli, A, Tefera, BN, Tefera, YM, Temesgen, G, Temsah, M-H, Thangaraju, P, Thapar, R, Thomas, NK, Ticoalu, JHV, Tincho, MB, Tiyuri, A, Togtmol, M, Tovani-Palone, MR, Mai, TNT, Ullah, S, Ullah, I, Umakanthan, S, Unnikrishnan, B, Upadhyay, E, Tahbaz, SV, Valdez, PR, Vasankari, TJ, Vaziri, S, Veroux, M, Vervoort, D, Violante, FS, Vlassov, V, Linh, GV, Waheed, Y, Wang, Y, Wang, Y-P, Wang, C, Wiangkham, T, Wickramasinghe, ND, Woday, AT, Wu, A-M, Yahya, GAT, Jabbari, SHY, Yang, L, Yaya, S, Yigit, A, Yigit, V, Yisihak, E, Yonemoto, N, You, Y, Younis, MZ, Yu, C, Yunusa, I, Yusefi, H, Zahir, M, Bin Zaman, S, Zare, I, Zarea, K, Zastrozhin, MS, Zhang, Z-J, Zhang, Y, Ziapour, A, Zodpey, S, Zoladl, M, Patton, GC, Ivers, RQ, Peden, AE, Cullen, P, Francis, KL, Moeller, H, Peden, MM, Ye, P, Tian, M, Zou, Z, Sawyer, SM, Aali, A, Abbasi-Kangevari, Z, Abbasi-Kangevari, M, Abdelmasseh, M, Abdoun, M, Abd-Rabu, R, Abdulah, DM, Abdurehman, AM, Abebe, G, Abebe, AM, Abedi, A, Abidi, H, Aboagye, RG, Ali, HA, Abu-Gharbieh, E, Adane, DE, Adane, TD, Addo, IY, Adewole, OG, Adhikari, S, Adnan, M, Adnani, QES, Afolabi, AAB, Afzal, S, Afzal, MS, Aghdam, ZB, Ahinkorah, BO, Ahmad, AR, Ahmad, T, Ahmad, S, Ahmadi, A, Ahmed, H, Ahmed, MB, Ahmed, A, Ahmed, JQ, Rashid, TA, Aithala, JP, Aji, B, Akhlaghdoust, M, Alahdab, F, Alanezi, FM, Alemayehu, A, Al Hamad, H, Ali, SS, Ali, L, Alimohamadi, Y, Alipour, V, Aljunid, SM, Almidani, L, Almustanyir, S, Altirkawi, KA, Alvis-Zakzuk, NJ, Ameyaw, EK, Amin, TT, Amir-Behghadami, M, Amiri, S, Amiri, H, Anagaw, TF, Andrei, T, Andrei, CL, Anvari, D, Anwar, SL, Anyasodor, AE, Arabloo, J, Arab-Zozani, M, Arja, A, Arulappan, J, Arumugam, A, Aryannejad, A, Asgary, S, Ashraf, T, Athari, SS, Atreya, A, Attia, S, Aujayeb, A, Awedew, AF, Azadnajafabad, S, Azangou-Khyavy, M, Azari, S, Jafari, AA, Azizi, H, Azzam, AY, Badiye, AD, Baghcheghi, N, Bagherieh, S, Baig, AA, Bakkannavar, SM, Balta, AB, Banach, M, Banik, PC, Bansal, H, Bardhan, M, Barone-Adesi, F, Barrow, A, Bashiri, A, Baskaran, P, Basu, S, Bayileyegn, NS, Bekel, AA, Bekele, AB, Bendak, S, Bensenor, IM, Berhie, AY, Bhagat, DS, Bhagavathula, AS, Bhardwaj, P, Bhardwaj, N, Bhaskar, S, Bhat, AN, Bhattacharyya, K, Bhutta, ZA, Bibi, S, Bintoro, BS, Bitaraf, S, Bodicha, BBA, Boloor, A, Bouaoud, S, Brown, J, Burkart, K, Butt, NS, Butt, MH, Camera, LA, Rincon, JCC, Cao, C, Carvalho, AF, Carvalho, M, Chakraborty, PA, Chandrasekar, EK, Chang, J-C, Charalampous, P, Charan, J, Chattu, VK, Chekole, BM, Chitheer, A, Cho, DY, Chopra, H, Christopher, DJ, Chukwu, IS, Cruz-Martins, N, Dadras, O, Dahlawi, SMA, Dai, X, Damiani, G, Darmstadt, GL, Soltani, RDC, Darwesh, AM, Das, S, Dastiridou, A, Debela, SA, Dehghan, A, Demeke, GM, Demetriades, AK, Demissie, S, Dessalegn, FN, Desta, AA, Dianatinasab, M, Diao, N, da Silva, DD, Diaz, D, Digesa, LE, Diress, M, Djalalinia, S, Linh, PD, Dodangeh, M, Doku, PN, Dongarwar, D, Dsouza, HL, Eini, E, Ekholuenetale, M, Ekundayo, TC, Elagali, AEM, Elbahnasawy, MA, Elhabashy, HR, Elhadi, M, Zaki, MES, Enyew, DB, Erkhembayar, R, Eskandarieh, S, Etaee, F, Fagbamigbe, AF, Faris, PS, Farmany, A, Faro, A, Farzadfar, F, Fatehizadeh, A, Fereshtehnejad, S-M, Feroze, AH, Fetensa, G, Feyisa, BR, Filip, I, Fischer, F, Foroutan, B, Foroutan, M, Fowobaje, KR, Franklin, RC, Fukumoto, T, Gaal, PA, Gadanya, MA, Galali, Y, Galehdar, N, Ganesan, B, Garg, T, Gebrehiwot, MGD, Gebremariam, YH, Gela, YY, Gerema, U, Ghafourifard, M, Ghamari, S-H, Ghanbari, R, Nour, MG, Gholamalizadeh, M, Gholami, A, Gholamrezanezhad, A, Ghozy, S, Gilani, SA, Gill, TK, Gine-Vazquez, I, Girma, ZA, Glasbey, JC, Glozah, FN, Golechha, M, Goleij, P, Grivna, M, Guadie, HA, Gunawardane, DA, Guo, Y, Gupta, VB, Gupta, S, Gupta, B, Gupta, VK, Haj-Mirzaian, A, Halwani, R, Hamadeh, RR, Hameed, S, Hanfore, LK, Hanif, A, Hargono, A, Harlianto, NI, Harorani, M, Hasaballah, AI, Hasan, SMM, Hassan, A, Hassanipour, S, Hassankhani, H, Havmoeller, RJ, Hay, SI, Heidari, M, Hendrie, D, Heyi, DZ, Hiraike, Y, Holla, R, Horita, N, Hossain, SJ, Hossain, MBH, Shabanan, SH, Hosseinzadeh, M, Hostiuc, S, Hoveidaei, AH, Hsiao, AK, Hussain, S, Hussein, A, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imani, B, Immurana, M, Inbaraj, LR, Islam, SMS, Islam, RM, Islam, MM, Ismail, NE, Merin, LJ, Jahrami, H, Jakovljevic, M, Janodia, MD, Javaheri, T, Jayapal, SK, Jayarajah, UU, Jayaraman, S, Jeganathan, J, Jemal, B, Jha, RP, Jonas, JB, Joo, T, Joseph, N, Jozwiak, JJ, Jurisson, M, Kabir, A, Kadashetti, V, Kadir, DH, Kalankesh, LR, Kalhor, R, Kamal, VK, Kamath, R, Kandel, H, Kantar, RS, Kapoor, N, Karami, H, Karaye, IM, Karkhah, S, Katoto, PDMC, Kauppila, JH, Kayode, GA, Keikavoosi-Arani, L, Keskin, C, Khader, YS, Khajuria, H, Khammarnia, M, Khan, EA, Khan, MN, Khan, M, Khan, YH, Khan, IA, Khan, A, Khan, MAB, Khanali, J, Khatatbeh, MM, Kashani, HRK, Khazaie, H, Khubchandani, J, Kifle, ZD, Kim, J, Kim, YJ, Kisa, S, Kisa, A, Kneib, CJ, Kompani, F, Koohestani, HR, Koul, PA, Laxminarayana, SLK, Koyanagi, A, Krishan, K, Krishnamoorthy, V, Bicer, BK, Kumar, N, Kumar, M, Kurmi, OP, Laflamme, L, Lam, J, Landires, I, Larijani, B, Lasrado, S, Lauriola, P, La Vecchia, C, Lee, SWH, Lee, YH, Lee, S-W, Lee, W-C, Legesse, SM, Li, S, Lim, SS, Lorenzovici, L, Luke, AO, Madadizadeh, F, Madureira-Carvalho, AM, Abd El Razek, MM, Mahjoub, S, Mahmoodpoor, A, Mahmoudi, R, Mahmoudimanesh, M, Majeed, A, Makki, A, Rad, EM, Malekpour, M-R, Malik, AA, Mallhi, TH, Malta, DC, Mansouri, B, Mansournia, MA, Mathews, E, Maulud, SQ, Mazingi, D, Nasab, EM, Mendoza-Cano, O, Menezes, RG, Mengistu, DA, Mentis, A-FA, Meretoja, A, Mesregah, MK, Mestrovic, T, Gomide Nogueira de Sa, ACM, Miller, TR, Mirghaderi, SP, Mirica, A, Mirmoeeni, S, Mirrakhimov, EM, Mirza, M, Misra, S, Mithra, P, Mittal, C, Moberg, ME, Mohammadi, M, Mohammadi, S, Mohammadi, E, Mohammadpourhodki, R, Mohammed, S, Mohammed, TA, Mohseni, M, Mokdad, AH, Momtazmanesh, S, Monasta, L, Moni, MA, Moreira, RS, Morrison, SD, Mostafavi, E, Isfahani, HM, Mubarik, S, Muccioli, L, Mukherjee, S, Mulita, F, Mustafa, G, Nagarajan, AJ, Naimzada, MD, Nangia, V, Nassereldine, H, Natto, ZS, Nayak, BP, Negoi, I, Nejadghaderi, SA, Nepal, S, Kandel, SN, Noroozi, N, Nunez-Samudio, V, Nzoputam, OJ, Nzoputam, CI, Ochir, C, Odhiambo, JN, Odukoya, OO, Okati-Aliabad, H, Okonji, OC, Olagunju, AT, Bali, AO, Omer, E, Otoiu, A, Otstavnov, SS, Otstavnov, N, Oumer, B, Owolabi, MO, Mahesh, PA, Padron-Monedero, A, Padubidri, JR, Fallahy, MTP, Panda-Jonas, S, Pandi-Perumal, SR, Pardhan, S, Park, E-K, Patel, SK, Pathan, AR, Pati, S, Paudel, U, Pawar, S, Pedersini, P, Peres, MFP, Petcu, I-R, Phillips, MR, Pillay, JD, Piracha, ZZ, Poursadeqiyan, M, Pourtaheri, N, Qattea, I, Radfar, A, Rafiee, A, Raghav, PR, Rahim, F, Rahman, MA, Rahman, FS, Rahman, M, Rahmani, AM, Rahmani, S, Moolambally, SR, Ramazanu, S, Ramezanzadeh, K, Rana, J, Rana, SM, Rao, CR, Rao, SJ, Rashedi, V, Rashidi, M-M, Rastogi, P, Rasul, A, Rawaf, S, Rawaf, DL, Rawal, L, Rawassizadeh, R, Rezaei, N, Rezaeian, M, Rezapour, A, Riad, A, Riaz, M, Rickard, J, Buendia Rodriguez, JA, Roever, L, Ronfani, L, Roy, B, Manjula, S, Saad, AMA, Sabour, S, Sabzmakan, L, Saddik, B, Sadeghi, M, Saeb, MR, Saeed, U, Moghaddam, SS, Safi, SZ, Sahiledengle, B, Sahoo, H, Sahraian, MA, Saki, M, Salamati, P, Salehi, S, Salem, MR, Samy, AM, Sanabria, J, Santric-Milicevic, MM, Saqib, MAN, Sarikhani, Y, Sarveazad, A, Sathian, B, Satpathy, M, Saya, GK, Ceola Schneider, IJ, Schwebel, DC, Seddighi, H, Senthilkumaran, S, Seylani, A, Shabaninejad, H, Shafeghat, M, Shah, PA, Shahabi, S, Shahbandi, A, Shahraki-Sanavi, F, Shaikh, MA, Shaker, E, Shams-Beyranvand, M, Shanawaz, M, Shannawaz, M, Sharew, MMS, Sharma, N, Shashamo, BB, Shayan, M, Sheikhi, RA, Shen, J, Shetty, BSK, Shetty, PH, Shin, JI, Shitaye, NA, Shivakumar, KM, Shobeiri, P, Shorofi, SA, Shrestha, S, Siabani, S, Sidemo, NB, Simegn, W, Sinaei, E, Singh, P, Sinto, R, Siraj, MS, Skryabin, VY, Skryabina, AA, Sleet, DA, Chandan, SN, Socea, B, Solmi, M, Solomon, Y, Song, Y, Sousa, RARC, Soyiri, IN, Stokes, MA, Suleman, M, Abdulkader, RS, Sun, J, Tabares-Seisdedos, R, Tabatabaei, SM, Tabish, M, Taheri, E, Soodejani, MT, Tampa, M, Tan, K-K, Tarigan, IU, Tariqujjaman, M, Tat, NY, Tat, VY, Tavakoli, A, Tefera, BN, Tefera, YM, Temesgen, G, Temsah, M-H, Thangaraju, P, Thapar, R, Thomas, NK, Ticoalu, JHV, Tincho, MB, Tiyuri, A, Togtmol, M, Tovani-Palone, MR, Mai, TNT, Ullah, S, Ullah, I, Umakanthan, S, Unnikrishnan, B, Upadhyay, E, Tahbaz, SV, Valdez, PR, Vasankari, TJ, Vaziri, S, Veroux, M, Vervoort, D, Violante, FS, Vlassov, V, Linh, GV, Waheed, Y, Wang, Y, Wang, Y-P, Wang, C, Wiangkham, T, Wickramasinghe, ND, Woday, AT, Wu, A-M, Yahya, GAT, Jabbari, SHY, Yang, L, Yaya, S, Yigit, A, Yigit, V, Yisihak, E, Yonemoto, N, You, Y, Younis, MZ, Yu, C, Yunusa, I, Yusefi, H, Zahir, M, Bin Zaman, S, Zare, I, Zarea, K, Zastrozhin, MS, Zhang, Z-J, Zhang, Y, Ziapour, A, Zodpey, S, Zoladl, M, Patton, GC, and Ivers, RQ

Abstract

BACKGROUND: Globally, transport and unintentional injuries persist as leading preventable causes of mortality and morbidity for adolescents. We sought to report comprehensive trends in injury-related mortality and morbidity for adolescents aged 10-24 years during the past three decades. METHODS: Using the Global Burden of Disease, Injuries, and Risk Factors 2019 Study, we analysed mortality and disability-adjusted life-years (DALYs) attributed to transport and unintentional injuries for adolescents in 204 countries. Burden is reported in absolute numbers and age-standardised rates per 100 000 population by sex, age group (10-14, 15-19, and 20-24 years), and sociodemographic index (SDI) with 95% uncertainty intervals (UIs). We report percentage changes in deaths and DALYs between 1990 and 2019. FINDINGS: In 2019, 369 061 deaths (of which 214 337 [58%] were transport related) and 31·1 million DALYs (of which 16·2 million [52%] were transport related) among adolescents aged 10-24 years were caused by transport and unintentional injuries combined. If compared with other causes, transport and unintentional injuries combined accounted for 25% of deaths and 14% of DALYs in 2019, and showed little improvement from 1990 when such injuries accounted for 26% of adolescent deaths and 17% of adolescent DALYs. Throughout adolescence, transport and unintentional injury fatality rates increased by age group. The unintentional injury burden was higher among males than females for all injury types, except for injuries related to fire, heat, and hot substances, or to adverse effects of medical treatment. From 1990 to 2019, global mortality rates declined by 34·4% (from 17·5 to 11·5 per 100 000) for transport injuries, and by 47·7% (from 15·9 to 8·3 per 100 000) for unintentional injuries. However, in low-SDI nations the absolute number of deaths increased (by 80·5% to 42 774 for transport injuries and by 39·4% to 31 961 for unintentional injuries). In the high-SDI quintile in 2010-19

Published
2022

45. Availability and readiness of healthcare facilities and their effects on long-acting modern contraceptive use in Bangladesh: analysis of linked data

Author

Khan, MN, Akter, S, Islam, MM, Khan, MN, Akter, S, and Islam, MM

Abstract

AIM: Increasing access to long-acting modern contraceptives (LMAC) is one of the key factors in preventing unintended pregnancy and protecting women's health rights. However, the availability and accessibility of health facilities and their impacts on LAMC utilisation (implant, intrauterine devices, sterilisation) in low- and middle-income countries is an understudied topic. This study aimed to examine the association between the availability and readiness of health facilities and the use of LAMC in Bangladesh. METHODS: In this survey study, we linked the 2017/18 Bangladesh Demographic and Health Survey data with the 2017 Bangladesh Health Facility Survey data using the administrative-boundary linkage method. Mixed-effect multilevel logistic regressions were conducted. The sample comprised 10,938 married women of 15-49 years age range who were fertile but did not desire a child within 2 years of the date of survey. The outcome variable was the current use of LAMC (yes, no), and the explanatory variables were health facility-, individual-, household- and community-level factors. RESULTS: Nearly 34% of participants used LAMCs with significant variations across areas in Bangladesh. The average scores of the health facility management and health facility infrastructure were 0.79 and 0.83, respectively. Of the facilities where LAMCs were available, 69% of them were functional and ready to provide LAMCs to the respondents. The increase in scores for the management (adjusted odds ratio (aOR), 1.59; 95% CI, 1.21-2.42) and infrastructure (aOR, 1.44; 95% CI, 1.01-1.69) of health facilities was positively associated with the overall uptake of LAMC. For per unit increase in the availability and readiness scores to provide LAMC at the nearest health facilities, the aORs for women to report using LAMC were 2.16 (95% CI, 1.18-3.21) and 1.74 (95% CI, 1.15-3.20), respectively. A nearly 27% decline in the likelihood of LAMC uptake was observed for every kilometre increase in the aver

Published
2022

46. Population-level risks of alcohol consumption by amount, geography, age, sex, and year: a systematic analysis for the Global Burden of Disease Study 2020

Author

Bryazka, D, Reitsma, MB, Griswold, MG, Abate, KH, Abbafati, C, Kangevari, MA, Kangevari, ZA, Abdoli, A, Abdollahi, M, Abdullah, AYM, Abhilash, ES, Abu Gharbieh, E, Acuna, JM, Addolorato, G, Adebayo, OM, Adekanmbi, V, Adhikari, K, Adhikari, S, Adnani, QES, Afzal, S, Agegnehu, WY, Aggarwal, M, Ahinkorah, BO, Ahmad, AR, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed, H, Rashid, TA, Akunna, CJ, Al Hamad, H, Alam, MZ, Alem, DT, Alene, KA, Alimohamadi, Y, Alizadeh, A, Allel, K, Alonso, J, Alvand, S, Guzman, NA, Amare, F, Ameyaw, EK, Amiri, S, Ancuceanu, R, Anderson, JA, Andrei, CL, Andrei, T, Arabloo, J, Arshad, M, Artamonov, AA, Aryan, Z, Asaad, M, Asemahagn, MA, Burt, TA, Athari, SS, Atnafu, DD, Atorkey, P, Atreya, A, Ausloos, F, Ausloos, M, Ayano, G, Ayanore, MA, Ayinde, OO, Mateos, JLA, Azadnajafabad, S, Azanaw, MM, Khyavy, MA, Jafari, AA, Azzam, AY, Badiye, AD, Bagheri, N, Bagherieh, S, Bairwa, M, Bakkannavar, SM, Bakshi, RK, Balchut, AH, Null, T, Barra, F, Barrow, A, Baskaran, P, Belo, L, Bennett, DA, Bensenor, IM, Bhagavathula, AS, Bhala, N, Bhalla, A, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, VS, Bintoro, BS, Blokhina, EAE, Bodicha, BBA, Boloor, A, Bosetti, C, Braithwaite, D, Brenner, H, Briko, NI, Brunoni, AR, Butt, ZA, Cao, C, Cao, Y, Cardenas, R, Carvalho, AF, Carvalho, M, Maia, JMC, Castelpietra, G, de Araujo, LFSC, Cattaruzza, MS, Chakraborty, PA, Charan, J, Chattu, VK, Chaurasia, A, Cherbuin, N, Dinh, TC, Chudal, N, Chung, SC, Churko, C, Ciobanu, LG, Cirillo, M, Claro, RM, Costanzo, S, Cowden, RG, Criqui, MH, Martins, NC, Culbreth, GT, Dachew, BA, Dadras, O, Dai, X, Damiani, G, Dandona, L, Dandona, R, Daniel, BD, Danielewicz, A, Gela, JD, Davletov, K, de Araujo, JAP, de Sa Junior, AR, Debela, SA, Dehghan, A, Demetriades, AK, Molla, MD, Desai, R, Desta, AA, da Silva, DD, Diaz, D, Digesa, LE, Diress, M, Dodangeh, M, Dongarwar, D, Dorostkar, F, Dsouza, HL, Duko, B, Duncan, BB, Edvardsson, K, Ekholuenetale, M, Elgar, FJ, Elhadi, M, 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Palladino, R, Pana, A, Jonas, SP, Pandey, A, Pardhan, S, Parekh, T, Park, EK, Parry, CDH, Kan, FP, Patel, J, Pati, S, Patton, GC, Paudel, U, Pawar, S, Peden, AE, Petcu, IR, Phillips, MR, Pinheiro, M, Plotnikov, E, Pradhan, PMS, Prashant, A, Quan, J, Radfar, A, Rafiei, A, Raghav, PR, Movaghar, VR, Rahman, A, Rahman, MM, Rahman, M, Rahmani, AM, Rahmani, S, Ranabhat, CL, Ranasinghe, P, Rao, CR, Rasali, DP, Rashidi, MM, Ratan, ZA, Rawaf, DL, Rawaf, S, Rawal, L, Renzaho, AMN, Rezaei, N, Rezaei, S, Rezaeian, M, Riahi, SM, Rodriguez, ER, Roth, GA, Rwegerera, GM, Saddik, B, Sadeghi, E, Sadeghian, R, Saeed, U, Saeedi, F, Sagar, R, Sahebkar, A, Sahoo, H, Sahraian, MA, Rahman, KSU, Salahi, S, Salimzadeh, H, Samy, AM, Sanmarchi, F, Milicevic, MMS, Sarikhani, Y, Sathian, B, Saya, GK, Sayyah, M, Schmidt, MI, Schutte, AE, Schwarzinger, M, Schwebel, DC, Seidu, AA, Kumar, NS, SeyedAlinaghi, S, Seylani, A, Sha, F, Shahin, S, Sanavi, FS, Shahrokhi, S, Shaikh, MA, Shaker, E, Shakhmardanov, MZ, Beyranvand, MS, Sheikhbahaei, S, Sheikhi, RA, Shetty, A, Shetty, JK, Shiferaw, DS, Shigematsu, M, Shiri, R, Shirkoohi, R, Shivakumar, KM, Shivarov, V, Shobeiri, P, Shrestha, R, Sidemo, NB, Sigfusdottir, ID, Silva, DAS, da Silva, NT, Singh, JA, Singh, S, Skryabin, VY, Skryabina, AA, Sleet, DA, Solmi, M, Solomon, Y, Song, S, Song, Y, Sorensen, RJD, Soshnikov, S, Soyiri, IN, Stein, DJ, Subba, SH, Szocska, M, Seisdedos, RT, Tabuchi, T, Taheri, M, Tan, KK, Tareke, M, Tarkang, EE, Temesgen, G, Temesgen, WA, Temsah, MH, Thankappan, KR, Thapar, R, Thomas, NK, Tiruneh, C, Todorovic, J, Torrado, M, Touvier, M, Palone, MRT, Mai, TNT, Llimos, ST, Tripathy, JP, Vakilian, A, Valizadeh, R, Varmaghani, M, Varthya, SB, Vasankari, TJ, Vos, T, Wagaye, B, Waheed, Y, Walde, MT, Wang, C, Wang, Y, Wang, YP, Westerman, R, Wickramasinghe, ND, Wubetu, AD, Xu, S, Yamagishi, K, Yang, L, Yesera, GEE, Yigit, A, Yigit, V, Yimaw, AE, Yon, DK, Yonemoto, N, Yu, C, Zadey, S, Zahir, M, Zare, I, Zastrozhin, MS, Zastrozhina, A, Zhang, ZJ, Zhong, C, Zmaili, M, Zuniga, YMH, Gakidou, E, Madureira-Carvalho, AM, Bryazka, D, Reitsma, MB, Griswold, MG, Abate, KH, Abbafati, C, Kangevari, MA, Kangevari, ZA, Abdoli, A, Abdollahi, M, Abdullah, AYM, Abhilash, ES, Abu Gharbieh, E, Acuna, JM, Addolorato, G, Adebayo, OM, Adekanmbi, V, Adhikari, K, Adhikari, S, Adnani, QES, Afzal, S, Agegnehu, WY, Aggarwal, M, Ahinkorah, BO, Ahmad, AR, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed, H, Rashid, TA, Akunna, CJ, Al Hamad, H, Alam, MZ, Alem, DT, Alene, KA, Alimohamadi, Y, Alizadeh, A, Allel, K, Alonso, J, Alvand, S, Guzman, NA, Amare, F, Ameyaw, EK, Amiri, S, Ancuceanu, R, Anderson, JA, Andrei, CL, Andrei, T, Arabloo, J, Arshad, M, Artamonov, AA, Aryan, Z, Asaad, M, Asemahagn, MA, Burt, TA, Athari, SS, Atnafu, DD, Atorkey, P, Atreya, A, Ausloos, F, Ausloos, M, Ayano, G, Ayanore, MA, Ayinde, OO, Mateos, JLA, Azadnajafabad, S, Azanaw, MM, Khyavy, MA, Jafari, AA, Azzam, AY, Badiye, AD, Bagheri, N, Bagherieh, S, Bairwa, M, Bakkannavar, SM, Bakshi, RK, Balchut, AH, Null, T, Barra, F, Barrow, A, Baskaran, P, Belo, L, Bennett, DA, Bensenor, IM, Bhagavathula, AS, Bhala, N, Bhalla, A, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, VS, Bintoro, BS, Blokhina, EAE, Bodicha, BBA, Boloor, A, Bosetti, C, Braithwaite, D, Brenner, H, Briko, NI, Brunoni, AR, Butt, ZA, Cao, C, Cao, Y, Cardenas, R, Carvalho, AF, Carvalho, M, Maia, JMC, Castelpietra, G, de Araujo, LFSC, Cattaruzza, MS, Chakraborty, PA, Charan, J, Chattu, VK, Chaurasia, A, Cherbuin, N, Dinh, TC, Chudal, N, Chung, SC, Churko, C, Ciobanu, LG, Cirillo, M, Claro, RM, Costanzo, S, Cowden, RG, Criqui, MH, Martins, NC, Culbreth, GT, Dachew, BA, Dadras, O, Dai, X, Damiani, G, Dandona, L, Dandona, R, Daniel, BD, Danielewicz, A, Gela, JD, Davletov, K, de Araujo, JAP, de Sa Junior, AR, Debela, SA, Dehghan, A, Demetriades, AK, Molla, MD, Desai, R, Desta, AA, da Silva, DD, Diaz, D, Digesa, LE, Diress, M, Dodangeh, M, Dongarwar, D, Dorostkar, F, Dsouza, HL, Duko, B, Duncan, BB, Edvardsson, K, Ekholuenetale, M, Elgar, FJ, Elhadi, M, Elmonem, MA, Endries, AY, Eskandarieh, S, Etemadimanesh, A, Fagbamigbe, AF, Fakhradiyev, IR, Farahmand, F, Sa Farinha, CSE, Faro, A, Farzadfar, F, Fatehizadeh, A, Fauk, NK, Feigin, VL, Feldman, R, Feng, X, Fentaw, Z, Ferrero, S, Desideri, LF, Filip, I, Fischer, F, Francis, JM, Franklin, RC, Gaal, PA, Gad, MM, Gallus, S, Galvano, F, Ganesan, B, Garg, T, Gebrehiwot, MGD, Gebremeskel, TG, Gebremichael, MA, Gemechu, TR, Getacher, L, Getachew, ME, Obsa, AG, Getie, A, Ghaderi, A, Ghafourifard, M, Ghajar, A, Ghamari, SH, Ghandour, LA, Nour, MG, Ghashghaee, A, Ghozy, S, Glozah, FN, Glushkova, EV, Godos, J, Goel, A, Goharinezhad, S, Golechha, M, Goleij, P, Golitaleb, M, Greaves, F, Grivna, M, Grosso, G, Gudayu, TW, Gupta, B, Gupta, R, Gupta, S, Gupta, VB, Gupta, VK, Nejad, NH, Mirzaian, AH, Hall, BJ, Halwani, R, Handiso, TB, Hankey, GJ, Hariri, S, Haro, JM, Hasaballah, A, Moghaddam, HH, Hay, S, Hayat, K, Heidari, G, Heidari, M, Hendrie, D, Herteliu, C, Heyi, DZ, Hezam, K, Hlongwa, MM, Holla, R, Hossain, MM, Hossain, S, Hosseini, SK, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Hu, G, Huang, J, Hussain, S, Ibitoye, SE, Ilic, IM, Ilic, MD, Immurana, M, Irham, LM, Islam, MM, Islam, RM, Islam, SMS, Iso, H, Itumalla, R, Iwagami, M, Jabbarinejad, R, Jacob, L, Jakovljevic, M, Jamalpoor, Z, Jamshidi, E, Jayapal, SK, Jayarajah, UU, Jayawardena, R, Jebai, R, Jeddi, SA, Jema, AT, Jha, RP, Jindal, HA, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jozwiak, JJ, Jurisson, M, Kabir, A, Kabthymer, RH, Kamble, BD, Kandel, H, Kanno, GG, Kapoor, N, Karaye, IM, Karimi, SE, Kassa, BG, Kaur, RJ, Kayode, GA, Keykhaei, M, Khajuria, H, Khalilov, R, Khan, IA, Ab Khan, M, Kim, H, Kim, J, Kim, MS, Kimokoti, RW, Kivimaki, M, Klymchuk, V, Knudsen, AKS, Kolahi, AA, Korshunov, VA, Koyanagi, A, Krishan, K, Krishnamoorthy, Y, Kumar, GA, Kumar, N, Ben, L, Lallukka, T, Lasrado, S, Lau, J, Lee, SW, Lee, WC, Lee, YH, Lim, LL, Lim, SS, Lobo, SW, Lopukhov, PD, Lorkowski, S, Lozano, R, Lucchetti, G, Madadizadeh, F, Mahjoub, S, Mahmoodpoor, A, Mahumud, RA, Makki, A, Malekpour, MR, Manjunatha, N, Mansouri, B, Mansournia, MA, Raga, JM, Villa, FAM, Matzopoulos, R, Maulik, PK, Mayeli, M, McGrath, JJ, Meena, JK, Nasab, EM, Menezes, RG, Mensink, GBM, Mentis, AFA, Meretoja, A, Merga, BT, Mestrovic, T, Jonasson, JM, Miazgowski, B, de Sa, ACMGN, Miller, TR, Mini, G, Mirica, A, Mirijello, A, Mirmoeeni, S, Mirrakhimov, EM, Misra, S, Moazen, B, Mobarakabadi, M, Moccia, M, Mohammad, Y, Mohammadi, E, Hafshejani, AM, Mohammed, TA, Moka, N, Mokdad, AH, Momtazmanesh, S, Moradi, Y, Mostafavi, E, Mubarik, S, Mullany, EC, Mulugeta, BT, Zamora, EM, Murray, CJL, Mwita, JC, Naghavi, M, Naimzada, MD, Nangia, V, Nayak, BP, Negoi, I, Negoi, RI, Nejadghaderi, SA, Nepal, S, Neupane, SPP, Kandel, SN, Nigatu, YT, Nowroozi, A, Nuruzzaman, KM, Nzoputam, CI, Obamiro, KO, Ogbo, FA, Oguntade, AS, Aliabad, HO, Olakunde, BO, Oliveira, GMM, Bali, AO, Omer, E, Altamirano, DVO, Otoiu, A, Otstavnov, SS, Oumer, B, Mahesh, PA, Monedero, AP, Palladino, R, Pana, A, Jonas, SP, Pandey, A, Pardhan, S, Parekh, T, Park, EK, Parry, CDH, Kan, FP, Patel, J, Pati, S, Patton, GC, Paudel, U, Pawar, S, Peden, AE, Petcu, IR, Phillips, MR, Pinheiro, M, Plotnikov, E, Pradhan, PMS, Prashant, A, Quan, J, Radfar, A, Rafiei, A, Raghav, PR, Movaghar, VR, Rahman, A, Rahman, MM, Rahman, M, Rahmani, AM, Rahmani, S, Ranabhat, CL, Ranasinghe, P, Rao, CR, Rasali, DP, Rashidi, MM, Ratan, ZA, Rawaf, DL, Rawaf, S, Rawal, L, Renzaho, AMN, Rezaei, N, Rezaei, S, Rezaeian, M, Riahi, SM, Rodriguez, ER, Roth, GA, Rwegerera, GM, Saddik, B, Sadeghi, E, Sadeghian, R, Saeed, U, Saeedi, F, Sagar, R, Sahebkar, A, Sahoo, H, Sahraian, MA, Rahman, KSU, Salahi, S, Salimzadeh, H, Samy, AM, Sanmarchi, F, Milicevic, MMS, Sarikhani, Y, Sathian, B, Saya, GK, Sayyah, M, Schmidt, MI, Schutte, AE, Schwarzinger, M, Schwebel, DC, Seidu, AA, Kumar, NS, SeyedAlinaghi, S, Seylani, A, Sha, F, Shahin, S, Sanavi, FS, Shahrokhi, S, Shaikh, MA, Shaker, E, Shakhmardanov, MZ, Beyranvand, MS, Sheikhbahaei, S, Sheikhi, RA, Shetty, A, Shetty, JK, Shiferaw, DS, Shigematsu, M, Shiri, R, Shirkoohi, R, Shivakumar, KM, Shivarov, V, Shobeiri, P, Shrestha, R, Sidemo, NB, Sigfusdottir, ID, Silva, DAS, da Silva, NT, Singh, JA, Singh, S, Skryabin, VY, Skryabina, AA, Sleet, DA, Solmi, M, Solomon, Y, Song, S, Song, Y, Sorensen, RJD, Soshnikov, S, Soyiri, IN, Stein, DJ, Subba, SH, Szocska, M, Seisdedos, RT, Tabuchi, T, Taheri, M, Tan, KK, Tareke, M, Tarkang, EE, Temesgen, G, Temesgen, WA, Temsah, MH, Thankappan, KR, Thapar, R, Thomas, NK, Tiruneh, C, Todorovic, J, Torrado, M, Touvier, M, Palone, MRT, Mai, TNT, Llimos, ST, Tripathy, JP, Vakilian, A, Valizadeh, R, Varmaghani, M, Varthya, SB, Vasankari, TJ, Vos, T, Wagaye, B, Waheed, Y, Walde, MT, Wang, C, Wang, Y, Wang, YP, Westerman, R, Wickramasinghe, ND, Wubetu, AD, Xu, S, Yamagishi, K, Yang, L, Yesera, GEE, Yigit, A, Yigit, V, Yimaw, AE, Yon, DK, Yonemoto, N, Yu, C, Zadey, S, Zahir, M, Zare, I, Zastrozhin, MS, Zastrozhina, A, Zhang, ZJ, Zhong, C, Zmaili, M, Zuniga, YMH, Gakidou, E, and Madureira-Carvalho, AM

Abstract

BACKGROUND: The health risks associated with moderate alcohol consumption continue to be debated. Small amounts of alcohol might lower the risk of some health outcomes but increase the risk of others, suggesting that the overall risk depends, in part, on background disease rates, which vary by region, age, sex, and year. METHODS: For this analysis, we constructed burden-weighted dose-response relative risk curves across 22 health outcomes to estimate the theoretical minimum risk exposure level (TMREL) and non-drinker equivalence (NDE), the consumption level at which the health risk is equivalent to that of a non-drinker, using disease rates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2020 for 21 regions, including 204 countries and territories, by 5-year age group, sex, and year for individuals aged 15-95 years and older from 1990 to 2020. Based on the NDE, we quantified the population consuming harmful amounts of alcohol. FINDINGS: The burden-weighted relative risk curves for alcohol use varied by region and age. Among individuals aged 15-39 years in 2020, the TMREL varied between 0 (95% uncertainty interval 0-0) and 0·603 (0·400-1·00) standard drinks per day, and the NDE varied between 0·002 (0-0) and 1·75 (0·698-4·30) standard drinks per day. Among individuals aged 40 years and older, the burden-weighted relative risk curve was J-shaped for all regions, with a 2020 TMREL that ranged from 0·114 (0-0·403) to 1·87 (0·500-3·30) standard drinks per day and an NDE that ranged between 0·193 (0-0·900) and 6·94 (3·40-8·30) standard drinks per day. Among individuals consuming harmful amounts of alcohol in 2020, 59·1% (54·3-65·4) were aged 15-39 years and 76·9% (73·0-81·3) were male. INTERPRETATION: There is strong evidence to support recommendations on alcohol consumption varying by age and location. Stronger interventions, particularly those tailored towards younger individuals, are needed to reduce the substantial global health loss attribu

Published
2022

47. Blood biochemical parameters of Murrah buffalo (Bubalus bubalis) reared in the high salinity area of Bangladesh.

Author

Runa, RA, Islam, MM, Hasan, M, Akter, MA, Runa, RA, Islam, MM, Hasan, M, and Akter, MA

Abstract

OBJECTIVES: The study's goal was to determine the impacts of drinking saline water on the biochemical parameters of Murrah buffalo. MATERIALS AND METHODS: Twenty Murrah buffalo of both sexes, ranging in age from 6 months to 11 years, were randomly selected. 10 ml of blood samples were collected from each buffalo and processed to separate serums. The supplied drinking water and feed samples were also collected. Blood parameters-glucose, alanine-aminotransferase (ALT), aspartate-aminotransferase (AST), creatinine, urea, uric acid, magnesium, phosphorous, calcium, zinc, potassium, sodium, and chloride-were analyzed. Different clinical manifestations of selected buffalo were also recorded. RESULTS: The buffaloes with skin lesions had higher serum concentrations of AST, creatinine, zinc, sodium, and chloride compared to another group. Significant age effects were found for serum concentrations of glucose (p < 0.05), creatinine (p < 0.01), uric acid (p < 0.001), phosphorus (p < 0.05), and potassium (p < 0.05). No significant age and gender effects were found for AST, ALT, urea, magnesium, calcium, zinc, sodium, and chloride. The serum concentration of creatinine was higher in female buffaloes, whereas the uric acid concentration was lower in female buffaloes compared to males. CONCLUSION: The blood parameters that were measured and remained within reference ranges show that Murrah buffaloes can adapt to saline water with little to no impairment to their liver and renal functions. The differences in the ages and sexes of the animals within the study groups highlight that mature female buffaloes suffer more from skin disorders and attempt to adjust to exotic conditions by changing the functioning of their liver and kidney.

Published
2022

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