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1. Need for an Artificial Intelligence-based Diabetes Care Management System in India and the United States

Author

Veena Mayya, Rajesh N.V.P.S. Kandala, Varadraj Gurupur, Christian King, Giang T. Vu, and Thomas T.H. Wan

Subjects
Medicine (General), R5-920, Public aspects of medicine, RA1-1270
Abstract

Objective Diabetes mellitus is an important chronic disease that is prevalent around the world. Different countries and diverse cultures use varying approaches to dealing with this chronic condition. Also, with the advancement of computation and automated decision-making, many tools and technologies are now available to patients suffering from this disease. In this work, the investigators attempt to analyze approaches taken towards managing this illness in India and the United States. Methods In this work, the investigators have used available literature and data to compare the use of artificial intelligence in diabetes management. Findings The article provides key insights to comparison of diabetes management in terms of the nature of the healthcare system, availability, electronic health records, cultural factors, data privacy, affordability, and other important variables. Interestingly, variables such as quality of electronic health records, and cultural factors are key impediments in implementing an efficiency-driven management system for dealing with this chronic disease. Conclusion The article adds to the body of knowledge associated with the management of this disease, establishing a critical need for using artificial intelligence in diabetes care management.

Published
2024
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2. Empirical Study of Feature Selection Methods in Regression for Large-Scale Healthcare Data: A Case Study on Estimating Dental Expenditures

Author

Veena Mayya, Christian King, Giang T. Vu, and Varadraj Gurupur

Subjects
Dental care, clinical decision support systems, dental visits, feature selection, machine learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

The complexity and high dimensionality of healthcare data present substantial challenges in building machine learning (ML) models, given the large number of variables such as patient demographics and medical history. Effective feature selection is crucial to address issues such as increased computational resource, longer training times, overfitting, and reduced model interpretability, etc. This study evaluates a range of feature selection methods to identify the most impactful features for predicting dental expenditures using publicly available Medical Expenditure Panel Survey (MEPS) data. Sixteen ML models are assessed to determine the top performing model, after which state-of-the-art filter, wrapper, embedded, and hybrid feature selection techniques are applied to optimize the feature set. The highest performance, in terms of coefficient of determination ( $R^{2}$ ), is achieved using a hybrid feature selection method that combines the mutual information filter with the embedded features from the CatBoost regressor. The results indicate that the proposed system is suitable for real-time deployment even with reduced features, providing potential benefits such as minimizing the need for irrelevant and difficult-to-obtain features. Moreover, automated feature selection significantly enhances model performance, yielding a $R^{2}$ score of 0.86, compared to the score 0.73 achieved with carefully selected manual features. Additionally, to enhance the interpretability of the top-performing ML model, explanatory visualizations are employed to examine the influence of key features on predicting dental expenditures.

Published
2024
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3. Association between uncontrolled diabetes and periodontal disease in US adults: NHANES 2009–2014

Author

Giang T. Vu, Shaminul Shakib, Christian King, Varadraj Gurupur, and Bert B. Little

Subjects
Medicine, Science
Abstract

Abstract This study examined the relationship between uncontrolled diabetes and periodontal disease (PD) among adults in the United States. We used data from the 2009–2014 National Health and Nutrition Examination Survey (NHANES) with a sample of 6108 adults ages 30 and over. To measure PD status, we used the Centers for Disease Control and Prevention/American Academy of Periodontology’s standards. To classify DM status (no DM, DM with HbA1c 50 years). In conclusion, uncontrolled DM was significantly associated with higher odds of PD among adults in the US.

Published
2023
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4. Cadmium exposure is associated with chronic kidney disease in a superfund site lead smelter community in Dallas, Texas

Author

Bert B. Little, Giang T. Vu, and Brad Walsh

Subjects
cadmium, chronic kidney disease, african american, epa superfund, Biology (General), QH301-705.5, Human anatomy, QM1-695, Physiology, QP1-981
Abstract

Background: The study was conducted in a Dallas lead smelter community following an Environmental Protection Agency (EPA) Superfund Cleanup project. Lead smelters operated in the Dallas community since the mid-1930s.Aim: To test the hypothesis that cadmium (Cd) exposure is associated with chronic kidney disease (CKD) ≥ stage 3.Subjects and methods: Subjects were African American residents aged ≥19 to ≤ 89 years (n=835). CKD ≥ stage 3 was predicted by blood Cd concentration with covariates.Results: In logistic regression analysis, CKD ≥ stage 3 was predicted by age ≥ 50 years (OR = 4.41, p < 0.0001), Cd level (OR = 1.89, p < .05), hypertension (OR = 3.15, p < 0.03), decades living in the community (OR = 1.34, p < 0.003) and T2DM (OR = 2.51, p < 0.01). Meta-analysis of 11 studies of Cd and CKD ≥ stage 3 yielded an ORRANDOM of 1.40 (p < 0.0001). Chronic environmental Cd exposure is associated with CKD ≥ stage 3 in a Dallas lead smelter community controlling covariates.Conclusion: Public health implications include screening for heavy metals including Cd, cleanup efforts to remove Cd from the environment and treating CKD with newer renal-sparing medications (e.g., SGLT-2 inhibitors, GLP-1s).

Published
2023
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5. An Asia-Pacific study on healthcare workers’ perceptions of, and willingness to receive, the COVID-19 vaccination

Author

Nicholas W.S. Chew, Clare Cheong, Gwyneth Kong, Kailun Phua, Jinghao Nicholas Ngiam, Benjamin Y.Q. Tan, Bokun Wang, Fengyi Hao, Wanqiu Tan, Xiaofan Han, Bach X. Tran, Men Thi Hoang, Hai Q. Pham, Giang T. Vu, Yang Chen, Rivan Danuaji, Komalkumar RN, Meenakshi PV, Kalpesh Talati, Cyrus S. Ho, Arvind K. Sharma, Roger C. Ho, and Vijay K. Sharma

Subjects
COVID-19 vaccination, Asia-Pacific, Healthcare workers, Infectious and parasitic diseases, RC109-216
Abstract

Objective: In the fight against COVID-19, vaccination is vital in achieving herd immunity. Many Asian countries are starting to vaccinate frontline workers; however, expedited vaccine development has led to hesitancy among the general population. We evaluated the willingness of healthcare workers to receive the COVID-19 vaccine. Methods: From 12 to 21 December 2020, we recruited 1720 healthcare workers from 6 countries: China, India, Indonesia, Singapore, Vietnam and Bhutan. The self-administrated survey collected information on willingness to vaccinate, perception of COVID-19, vaccine concerns, COVID-19 risk profile, stigma, pro-socialness scale, and trust in health authorities. Results: More than 95% of the healthcare workers surveyed were willing to vaccinate. These respondents were more likely to perceive the pandemic as severe, consider the vaccine safe, have less financial concerns, less stigmatization regarding the vaccine, higher pro-socialness mindset and trust in health authorities. A high perceived pandemic risk index, low vaccine harm index and high pro-socialness index were independent predictors in multivariable analysis. Conclusions: The majority of healthcare workers in Asia are willing to receive COVID-19 vaccination. Perceived COVID-19 susceptibility, low potential risk of vaccine harm and pro-socialness are the main drivers. These findings may help formulate vaccination strategies in other countries.

Published
2021
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6. A chain mediation model on COVID-19 symptoms and mental health outcomes in Americans, Asians and Europeans

Author

Cuiyan Wang, Agata Chudzicka-Czupała, Michael L. Tee, María Inmaculada López Núñez, Connor Tripp, Mohammad A. Fardin, Hina A. Habib, Bach X. Tran, Katarzyna Adamus, Joseph Anlacan, Marta E. Aparicio García, Damian Grabowski, Shahzad Hussain, Men T. Hoang, Mateusz Hetnał, Xuan T. Le, Wenfang Ma, Hai Q. Pham, Patrick Wincy C. Reyes, Mahmoud Shirazi, Yilin Tan, Cherica A. Tee, Linkang Xu, Ziqi Xu, Giang T. Vu, Danqing Zhou, Natalie A. Chan, Vipat Kuruchittham, Roger S. McIntyre, Cyrus S. H. Ho, Roger Ho, and Samuel F. Sears

Subjects
Medicine, Science
Abstract

Abstract The novel Coronavirus-2019 (COVID-19) was declared a pandemic by the World Health Organization (WHO) in March 2020, impacting the lifestyles, economy, physical and mental health of individuals globally. This study aimed to test the model triggered by physical symptoms resembling COVID-19 infection, in which the need for health information and perceived impact of the pandemic mediated the path sequentially, leading to adverse mental health outcomes. A cross-sectional research design with chain mediation model involving 4612 participants from participating 8 countries selected via a respondent-driven sampling strategy was used. Participants completed online questionnaires on physical symptoms, the need for health information, the Impact of Event Scale-Revised (IES-R) questionnaire and Depression, Anxiety and Stress Scale (DASS-21). The results showed that Poland and the Philippines were the two countries with the highest levels of anxiety, depression and stress; conversely, Vietnam had the lowest mean scores in these areas. Chain mediation model showed the need for health information, and the perceived impact of the pandemic were sequential mediators between physical symptoms resembling COVID-19 infection (predictor) and consequent mental health status (outcome). Excessive and contradictory health information might increase the perceived impact of the pandemic. Rapid COVID-19 testing should be implemented to minimize the psychological burden associated with physical symptoms, whilst public mental health interventions could target adverse mental outcomes associated with the pandemic.

Published
2021
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8. Premenopausal Singaporean Women Suffering from Major Depressive Disorder Treated with Selective Serotonin Reuptake Inhibitors Had Similar Bone Mineral Density as Compared with Healthy Controls

Author

Roger C. Ho, Anna N. Chua, Syeda Fabeha Husain, Wanqiu Tan, Fengyi Hao, Giang T. Vu, Bach X. Tran, Hien Thu Nguyen, Roger S. McIntyre, and Cyrus S. Ho

Subjects
bone mineral density, major depressive disorder, premenopause, selective serotonin reuptake inhibitor (SSRI), women, Medicine (General), R5-920
Abstract

The association between selective serotonin reuptake inhibitor (SSRI) treatment and lower bone mineral density (BMD) remains controversial, and further research is required. This study aimed to compare the BMD, levels of bone formation and bone metabolism markers in medicated premenopausal Singaporean women with major depressive disorder (MDD) and matched healthy controls. We examined 45 women with MDD who received SSRI treatment (mean age: 37.64 ± 7) and 45 healthy controls (mean age: 38.1 ± 9.2). BMD at the lumbar spine, total hip and femoral neck were measured using dual-energy X-ray absorptiometry. We also measured bone formation markers, procollagen type 1 N-terminal propeptide (P1NP) and bone metabolism markers, osteoprotegerin (OPG) and receptor activator of nuclear factor-kappa-Β ligand (RANKL). There were no significant differences in the mean BMD in the lumbar spine (healthy controls: 1.04 ± 0.173 vs. MDD patients: 1.024 ± 0.145, p = 0.617, left hip (healthy controls: 0.823 ± 0.117 vs. MDD patients: 0.861 ± 0.146, p = 0.181) and right hip (healthy controls: 0.843 ± 0.117 vs. MDD patients: 0.85 ± 0.135, p = 0.784) between healthy controls and medicated patients with MDD. There were no significant differences in median P1NP (healthy controls: 35.9 vs. MDD patients: 37.3, p = 0.635), OPG (healthy controls: 2.6 vs. MDD patients: 2.7, p = 0.545), RANKL (healthy controls: 23.4 vs. MDD patients: 2178.93, p = 0.279) and RANKL/OPG ratio (healthy controls: 4.1 vs. MDD patients: 741.4, p = 0.279) between healthy controls and medicated patients with MDD. Chronic SSRI treatment might not be associated with low BMD in premenopausal Singaporean women who suffered from MDD. This finding may help female patients with MDD make an informed decision when considering the risks and benefits of SSRI treatment.

Published
2022
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9. Assessing changes in nicotine consumption over two years in a population of Hanoi by wastewater analysis with benchmarking biomarkers

Author

Bui Xuan Thanh, Giang T. Vu, Tran Thi Thanh Hue, Qiuda Zheng, Gary Chan, Nguyen Thi Kieu Anh, and Phong K. Thai

Subjects
Benchmarking, Nicotine, Environmental Engineering, Sewage, Environmental Chemistry, Humans, Wastewater, Cotinine, Pollution, Waste Management and Disposal, Biomarkers
Abstract

Monitoring the actual change in consumption of nicotine (a proxy for smoking) in the population is essential for formulating tobacco control policies. In recent years, wastewater-based epidemiology (WBE) has been applied as an alternative method to estimate changes in consumption of tobacco and other substances in different communities around the world, with high potential to be used in resource-scarce settings. This study aimed to conduct a WBE analysis in Hanoi, Vietnam, a lower-middle-income-country setting known for high smoking prevalence. Wastewater samples were collected at two sites along a sewage canal in Hanoi during three periods: Period 1 (September 2018), Period 2 (December 2018-January 2019), and Period 3 (December 2019-January 2020). Concentrations of cotinine, 3-hydroxycotinine, and nicotine ranged from 0.73 μg/L to 3.83 μg/L, from 1.09 μg/L to 5.07 μg/L, and from 0.97 μg/L to 9.90 μg/L, respectively. The average mass load of cotinine estimated for our samples was 0.45 ± 0.09 mg/day/person, which corresponds to an estimated daily nicotine consumption of 1.28 ± 0.25 mg/day/person. No weekly trend was detected over the three monitoring periods. We found the amount of nicotine consumption in Period 1 to be significantly lower than in Period 2 and Period 3. Our WBE estimates of smoking prevalence were slightly lower than the survey data. The analysis of benchmarking biomarkers confirmed that cotinine was stable in the samples similar to acesulfame, while paracetamol degraded along the sewer canal. Further refinement of the WBE approach may be required to improve the accuracy of analyzing tobacco consumption in the poor sewage infrastructure setting of Vietnam.

Published
2022

10. Diabetes and dental caries in US adults: an analysis of data from the National Health and Nutrition Examination Survey, 2011-2018.

Author

Giang T. Vu, Little, Bert, Guo-Liang Cheng, and Pin Chuang Lai

Abstract

Objectives: To determine the relationship between diabetes and dental caries among US adults participating in the 2011-2018 National Health and Nutrition Examination Survey (NHANES). Basic research design: The NHANES was a cross-sectional study including clinical assessments, laboratory analysis, and interviews. The sample included 16,635 participants aged 20 years and older that represent 187,596,215 individuals in the US in a probability weighted sample. Outcome variables included overall total caries score (or number of decayed, missing, filled permanent teeth -- DMFT index) and the presence of caries. Bivariate analysis, Poisson regression for total caries score, logistic regression for the presence of caries were used for analysis. Results: Controlling for covariates, multiple Poisson regression revealed that total DMFT scores were associated with diabetes status (adjusted relative risk ratio (RR)controlled diabetes = 1.13, RRuncontrolled diabetes = 1.18; p<0.001), no college education, female sex, white race, elderly (≥ 65 years), cigarette smoking, obesity, yearly dental visits, seeing a dentist only for treatment. Similarly, multiple logistic regression shows that the odds of adults with diabetes having dental caries were higher than among those without diabetes (adjusted risk ratio (OR)controlled diabetes = 1.84, ORuncontrolled diabetes = 1.87; p<0.05). Conclusions: Diabetes was associated with a higher caries score and a greater risk for dental caries among US adults. [ABSTRACT FROM AUTHOR]

Published
2023
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11. Oral health-related quality of life in US adults with type 2 diabetes

Author

Liza Creel, Bert B Little, Giang T. Vu, Lawrence Gettleman, J' Aime Jennings, and Robert J. Esterhay

Subjects
Adult, National Health and Nutrition Examination Survey, medicine.medical_treatment, Oral Health, Type 2 diabetes, Dental insurance, Dental Caries, Logistic regression, Quality of life, medicine, Humans, General Dentistry, business.industry, Dental Prophylaxis, Public Health, Environmental and Occupational Health, medicine.disease, Nutrition Surveys, Obesity, humanities, stomatognathic diseases, Diabetes Mellitus, Type 2, Quality of Life, Smoking cessation, Female, business, Demography
Abstract

OBJECTIVES The objective of this study was to analyze factors associated with oral health-related quality of life (OHRQoL) between type 2 diabetes mellitus (T2DM) and nondiabetic US adults. METHODS The study sample included 2945 participants (aged ≥20) selected from National Health and Nutrition Examination Survey (NHANES) 2003-2004 that represented 130,689,262 million persons in a probability weighted sample. Oral health outcomes were measured by the NHANES version of Oral Health Impact Profile (OHIP) for OHRQoL and summarized as additive scores (OHIP-ADD) and as prevalence of negative impacts (OHIP-SC). Multiple logistic regression models used dichotomous outcome variables OHIP-ADD and OHIP-SC. The cut-off values for poor OHRQoL were heuristically defined as OHIP-ADD ≥6 and as OHIP-SC > 0. RESULTS Poor OHRQoL was significantly (p

Published
2021

12. Tooth loss and uncontrolled diabetes among US adults

Author

Giang T. Vu, Bert B. Little, Pin Chuang Lai, and Guo-Liang Cheng

Subjects
Adult, Glycated Hemoglobin, Male, Tooth Loss, Diabetes Mellitus, Quality of Life, Humans, Female, Nutrition Surveys, General Dentistry, United States
Abstract

The objective of this study was to analyze the association between tooth loss and uncontrolled diabetes among US adults.The authors used National Health and Nutrition Examination Survey data from 2011 through 2018. The sample included 16,635 participants 20 years and older who represent 187,596,215 people in the United States in a probability weighted sample. The authors used bivariate analysis and multiple regressions to analyze factors associated with edentulism and number of missing teeth.The multiple logistic regression model significantly predicted edentulism using diabetes status (adjusted odds ratio controlled diabetes, 1.44 [95% CI, 1.12 to 1.86]; adjusted odds ratio uncontrolled diabetes, 2.26 [95% CI, 1.33 to 3.85]), missing annual dental visits, seeing a dentist only for treatment, family income below 200% of the federal poverty guideline, being female, being 65 years or older, tobacco smoking, and no college education. After controlling for the same covariates, multiple Poisson regression analysis showed that dentate adults with controlled and uncontrolled diabetes had higher relative risk of tooth loss than those without diabetes (adjusted risk ratio controlled diabetes, 1.52 [95% CI, 1.35 to 1.71]; adjusted risk ratio uncontrolled diabetes, 1.57 [95% CI, 1.35 to 1.83]).US adults with uncontrolled (glycated hemoglobin ≥ 9%) and controlled diabetes (glycated hemoglobin9%) were more likely to be edentulous and experience tooth loss than adults without diabetes.US health policy officials should adopt benefits policies to provide regular dental examinations to people who have diabetes, have low income (200% of the federal poverty guideline), or are 65 years or older to reduce tooth loss and improve their quality of life. Dentists should work with physicians to help patients control glycemic levels.

Published
2021

13. Global Burden of Cardiovascular Diseases and Risk Factors, 1990-2019: Update From the GBD 2019 Study

Author

Gregory A. Roth, George A. Mensah, Catherine O. Johnson, Giovanni Addolorato, Enrico Ammirati, Larry M. Baddour, Noël C. Barengo, Andrea Z. Beaton, Emelia J. Benjamin, Catherine P. Benziger, Aimé Bonny, Michael Brauer, Marianne Brodmann, Thomas J. Cahill, Jonathan Carapetis, Alberico L. Catapano, Sumeet S. Chugh, Leslie T. Cooper, Josef Coresh, Michael Criqui, Nicole DeCleene, Kim A. Eagle, Sophia Emmons-Bell, Valery L. Feigin, Joaquim Fernández-Solà, Gerry Fowkes, Emmanuela Gakidou, Scott M. Grundy, Feng J. He, George Howard, Frank Hu, Lesley Inker, Ganesan Karthikeyan, Nicholas Kassebaum, Walter Koroshetz, Carl Lavie, Donald Lloyd-Jones, Hong S. Lu, Antonio Mirijello, Awoke Misganaw Temesgen, Ali Mokdad, Andrew E. Moran, Paul Muntner, Jagat Narula, Bruce Neal, Mpiko Ntsekhe, Glaucia Moraes de Oliveira, Catherine Otto, Mayowa Owolabi, Michael Pratt, Sanjay Rajagopalan, Marissa Reitsma, Antonio Luiz P. Ribeiro, Nancy Rigotti, Anthony Rodgers, Craig Sable, Saate Shakil, Karen Sliwa-Hahnle, Benjamin Stark, Johan Sundström, Patrick Timpel, Imad M. Tleyjeh, Marco Valgimigli, Theo Vos, Paul K. Whelton, Magdi Yacoub, Liesl Zuhlke, Christopher Murray, Valentin Fuster, Noel C. Barengo, Andrea Beaton, Aime Bonny, Jonathan R. Carapetis, Sumeet Chugh, Michael H. Criqui, Nicole K. DeCleene, Joaquim Fernández-Sola, F. Gerry R. Fowkes, Nicholas J. Kassebaum, Walter J. Koroshetz, Awoke T. Misganaw, Ali H. Mokdad, Gláucia M.M. Oliveira, Catherine M. Otto, Mayowa O. Owolabi, Marissa B. Reitsma, Nancy A. Rigotti, Craig A. Sable, Saate S. Shakil, Karen Sliwa, Benjamin A. Stark, Imad I. Tleyjeh, Liesl J. Zuhlke, Mohsen Abbasi-Kangevari, Alireza Abdi, Aidin Abedi, Victor Aboyans, Woldu A. Abrha, Eman Abu-Gharbieh, Abdelrahman I. Abushouk, Dilaram Acharya, Tim Adair, Oladimeji M. Adebayo, Zanfina Ademi, Shailesh M. Advani, Khashayar Afshari, Ashkan Afshin, Gina Agarwal, Pradyumna Agasthi, Sohail Ahmad, Sepideh Ahmadi, Muktar B. Ahmed, Budi Aji, Yonas Akalu, Wuraola Akande-Sholabi, Addis Aklilu, Chisom J. Akunna, Fares Alahdab, Ayman Al-Eyadhy, Khalid F. Alhabib, Sheikh M. Alif, Vahid Alipour, Syed M. Aljunid, François Alla, Amir Almasi-Hashiani, Sami Almustanyir, Rajaa M. Al-Raddadi, Adeladza K. Amegah, Saeed Amini, Arya Aminorroaya, Hubert Amu, Dickson A. Amugsi, Robert Ancuceanu, Deanna Anderlini, Tudorel Andrei, Catalina Liliana Andrei, Alireza Ansari-Moghaddam, Zelalem A. Anteneh, Ippazio Cosimo Antonazzo, Benny Antony, Razique Anwer, Lambert T. Appiah, Jalal Arabloo, Johan Ärnlöv, Kurnia D. Artanti, Zerihun Ataro, Marcel Ausloos, Leticia Avila-Burgos, Asma T. Awan, Mamaru A. Awoke, Henok T. Ayele, Muluken A. Ayza, Samad Azari, Darshan B. B, Nafiseh Baheiraei, Atif A. Baig, Ahad Bakhtiari, Maciej Banach, Palash C. Banik, Emerson A. Baptista, Miguel A. Barboza, Lingkan Barua, Sanjay Basu, Neeraj Bedi, Yannick Béjot, Derrick A. Bennett, Isabela M. Bensenor, Adam E. Berman, Yihienew M. Bezabih, Akshaya S. Bhagavathula, Sonu Bhaskar, Krittika Bhattacharyya, Ali Bijani, Boris Bikbov, Mulugeta M. Birhanu, Archith Boloor, Luisa C. Brant, Hermann Brenner, Nikolay I. Briko, Zahid A. Butt, Florentino Luciano Caetano dos Santos, Leah E. Cahill, Lucero Cahuana-Hurtado, Luis A. Cámera, Ismael R. Campos-Nonato, Carlos Cantu-Brito, Josip Car, Juan J. Carrero, Felix Carvalho, Carlos A. Castañeda-Orjuela, Ferrán Catalá-López, Ester Cerin, Jaykaran Charan, Vijay Kumar Chattu, Simiao Chen, Ken L. Chin, Jee-Young J. Choi, Dinh-Toi Chu, Sheng-Chia Chung, Massimo Cirillo, Sean Coffey, Sara Conti, Vera M. Costa, David K. Cundiff, Omid Dadras, Baye Dagnew, Xiaochen Dai, Albertino A.M. Damasceno, Lalit Dandona, Rakhi Dandona, Kairat Davletov, Vanessa De la Cruz-Góngora, Fernando P. De la Hoz, Jan-Walter De Neve, Edgar Denova-Gutiérrez, Meseret Derbew Molla, Behailu T. Derseh, Rupak Desai, Günther Deuschl, Samath D. Dharmaratne, Meghnath Dhimal, Raja Ram Dhungana, Mostafa Dianatinasab, Daniel Diaz, Shirin Djalalinia, Klara Dokova, Abdel Douiri, Bruce B. Duncan, Andre R. Duraes, Arielle W. Eagan, Sanam Ebtehaj, Aziz Eftekhari, Sahar Eftekharzadeh, Michael Ekholuenetale, Nevine El Nahas, Islam Y. Elgendy, Muhammed Elhadi, Shaimaa I. El-Jaafary, Sadaf Esteghamati, Atkilt E. Etisso, Oghenowede Eyawo, Ibtihal Fadhil, Emerito Jose A. Faraon, Pawan S. Faris, Medhat Farwati, Farshad Farzadfar, Eduarda Fernandes, Carlota Fernandez Prendes, Pietro Ferrara, Irina Filip, Florian Fischer, David Flood, Takeshi Fukumoto, Mohamed M. Gad, Shilpa Gaidhane, Morsaleh Ganji, Jalaj Garg, Abadi K. Gebre, Birhan G. Gebregiorgis, Kidane Z. Gebregzabiher, Gebreamlak G. Gebremeskel, Lemma Getacher, Abera Getachew Obsa, Alireza Ghajar, Ahmad Ghashghaee, Nermin Ghith, Simona Giampaoli, Syed Amir Gilani, Paramjit S. Gill, Richard F. Gillum, Ekaterina V. Glushkova, Elena V. Gnedovskaya, Mahaveer Golechha, Kebebe B. Gonfa, Amir Hossein Goudarzian, Alessandra C. Goulart, Jenny S. Guadamuz, Avirup Guha, Yuming Guo, Rajeev Gupta, Vladimir Hachinski, Nima Hafezi-Nejad, Teklehaimanot G. Haile, Randah R. Hamadeh, Samer Hamidi, Graeme J. Hankey, Arief Hargono, Risky K. Hartono, Maryam Hashemian, Abdiwahab Hashi, Shoaib Hassan, Hamid Y. Hassen, Rasmus J. Havmoeller, Simon I. Hay, Khezar Hayat, Golnaz Heidari, Claudiu Herteliu, Ramesh Holla, Mostafa Hosseini, Mehdi Hosseinzadeh, Mihaela Hostiuc, Sorin Hostiuc, Mowafa Househ, Junjie Huang, Ayesha Humayun, Ivo Iavicoli, Charles U. Ibeneme, Segun E. Ibitoye, Olayinka S. Ilesanmi, Irena M. Ilic, Milena D. Ilic, Usman Iqbal, Seyed Sina N. Irvani, Sheikh Mohammed Shariful Islam, Rakibul M. Islam, Hiroyasu Iso, Masao Iwagami, Vardhmaan Jain, Tahereh Javaheri, Sathish Kumar Jayapal, Shubha Jayaram, Ranil Jayawardena, Panniyammakal Jeemon, Ravi P. Jha, Jost B. Jonas, Jitendra Jonnagaddala, Farahnaz Joukar, Jacek J. Jozwiak, Mikk Jürisson, Ali Kabir, Tanvir Kahlon, Rizwan Kalani, Rohollah Kalhor, Ashwin Kamath, Ibrahim Kamel, Himal Kandel, Amit Kandel, André Karch, Ayele Semachew Kasa, Patrick D.M.C. Katoto, Gbenga A. Kayode, Yousef S. Khader, Mohammad Khammarnia, Muhammad S. Khan, Md Nuruzzaman Khan, Maseer Khan, Ejaz A. Khan, Khaled Khatab, Gulam M.A. Kibria, Yun Jin Kim, Gyu Ri Kim, Ruth W. Kimokoti, Sezer Kisa, Adnan Kisa, Mika Kivimäki, Dhaval Kolte, Ali Koolivand, Vladimir A. Korshunov, Sindhura Lakshmi Koulmane Laxminarayana, Ai Koyanagi, Kewal Krishan, Vijay Krishnamoorthy, Barthelemy Kuate Defo, Burcu Kucuk Bicer, Vaman Kulkarni, G. Anil Kumar, Nithin Kumar, Om P. Kurmi, Dian Kusuma, Gene F. Kwan, Carlo La Vecchia, Ben Lacey, Tea Lallukka, Qing Lan, Savita Lasrado, Zohra S. Lassi, Paolo Lauriola, Wayne R. Lawrence, Avula Laxmaiah, Kate E. LeGrand, Ming-Chieh Li, Bingyu Li, Shanshan Li, Stephen S. Lim, Lee-Ling Lim, Hualiang Lin, Ziqiang Lin, Ro-Ting Lin, Xuefeng Liu, Alan D. Lopez, Stefan Lorkowski, Paulo A. Lotufo, Alessandra Lugo, Nirmal K. M, Fabiana Madotto, Morteza Mahmoudi, Azeem Majeed, Reza Malekzadeh, Ahmad A. Malik, Abdullah A. Mamun, Navid Manafi, Mohammad Ali Mansournia, Lorenzo G. Mantovani, Santi Martini, Manu R. Mathur, Giampiero Mazzaglia, Suresh Mehata, Man Mohan Mehndiratta, Toni Meier, Ritesh G. Menezes, Atte Meretoja, Tomislav Mestrovic, Bartosz Miazgowski, Tomasz Miazgowski, Irmina Maria Michalek, Ted R. Miller, Erkin M. Mirrakhimov, Hamed Mirzaei, Babak Moazen, Masoud Moghadaszadeh, Yousef Mohammad, Dara K. Mohammad, Shafiu Mohammed, Mohammed A. Mohammed, Yaser Mokhayeri, Mariam Molokhia, Ahmed A. Montasir, Ghobad Moradi, Rahmatollah Moradzadeh, Paula Moraga, Lidia Morawska, Ilais Moreno Velásquez, Jakub Morze, Sumaira Mubarik, Walter Muruet, Kamarul Imran Musa, Ahamarshan J. Nagarajan, Mahdi Nalini, Vinay Nangia, Atta Abbas Naqvi, Sreenivas Narasimha Swamy, Bruno R. Nascimento, Vinod C. Nayak, Javad Nazari, Milad Nazarzadeh, Ruxandra I. Negoi, Sandhya Neupane Kandel, Huong L.T. Nguyen, Molly R. Nixon, Bo Norrving, Jean Jacques Noubiap, Brice E. Nouthe, Christoph Nowak, Oluwakemi O. Odukoya, Felix A. Ogbo, Andrew T. Olagunju, Hans Orru, Alberto Ortiz, Samuel M. Ostroff, Jagadish Rao Padubidri, Raffaele Palladino, Adrian Pana, Songhomitra Panda-Jonas, Utsav Parekh, Eun-Cheol Park, Mojtaba Parvizi, Fatemeh Pashazadeh Kan, Urvish K. Patel, Mona Pathak, Rajan Paudel, Veincent Christian F. Pepito, Arokiasamy Perianayagam, Norberto Perico, Hai Q. Pham, Thomas Pilgrim, Michael A. Piradov, Farhad Pishgar, Vivek Podder, Roman V. Polibin, Akram Pourshams, Dimas R.A. Pribadi, Navid Rabiee, Mohammad Rabiee, Amir Radfar, Alireza Rafiei, Fakher Rahim, Vafa Rahimi-Movaghar, Mohammad Hifz Ur Rahman, Muhammad Aziz Rahman, Amir Masoud Rahmani, Ivo Rakovac, Pradhum Ram, Sudha Ramalingam, Juwel Rana, Priyanga Ranasinghe, Sowmya J. Rao, Priya Rathi, Lal Rawal, Wasiq F. Rawasia, Reza Rawassizadeh, Giuseppe Remuzzi, Andre M.N. Renzaho, Aziz Rezapour, Seyed Mohammad Riahi, Ross L. Roberts-Thomson, Leonardo Roever, Peter Rohloff, Michele Romoli, Gholamreza Roshandel, Godfrey M. Rwegerera, Seyedmohammad Saadatagah, Maha M. Saber-Ayad, Siamak Sabour, Simona Sacco, Masoumeh Sadeghi, Sahar Saeedi Moghaddam, Saeed Safari, Amirhossein Sahebkar, Sana Salehi, Hamideh Salimzadeh, Mehrnoosh Samaei, Abdallah M. Samy, Itamar S. Santos, Milena M. Santric-Milicevic, Nizal Sarrafzadegan, Arash Sarveazad, Thirunavukkarasu Sathish, Monika Sawhney, Mete Saylan, Maria I. Schmidt, Aletta E. Schutte, Subramanian Senthilkumaran, Sadaf G. Sepanlou, Feng Sha, Saeed Shahabi, Izza Shahid, Masood A. Shaikh, Mahdi Shamali, Morteza Shamsizadeh, Md Shajedur Rahman Shawon, Aziz Sheikh, Mika Shigematsu, Min-Jeong Shin, Jae Il Shin, Rahman Shiri, Ivy Shiue, Kerem Shuval, Soraya Siabani, Tariq J. Siddiqi, Diego A.S. Silva, Jasvinder A. Singh, Ambrish Singh Mtech, Valentin Y. Skryabin, Anna A. Skryabina, Amin Soheili, Emma E. Spurlock, Leo Stockfelt, Stefan Stortecky, Saverio Stranges, Rizwan Suliankatchi Abdulkader, Hooman Tadbiri, Eyayou G. Tadesse, Degena B. Tadesse, Masih Tajdini, Md Tariqujjaman, Berhane F. Teklehaimanot, Mohamad-Hani Temsah, Ayenew K. Tesema, Bhaskar Thakur, Kavumpurathu R. Thankappan, Rekha Thapar, Amanda G. Thrift, Binod Timalsina, Marcello Tonelli, Mathilde Touvier, Marcos R. Tovani-Palone, Avnish Tripathi, Jaya P. Tripathy, Thomas C. Truelsen, Guesh M. Tsegay, Gebiyaw W. Tsegaye, Nikolaos Tsilimparis, Biruk S. Tusa, Stefanos Tyrovolas, Krishna Kishore Umapathi, Brigid Unim, Bhaskaran Unnikrishnan, Muhammad S. Usman, Muthiah Vaduganathan, Pascual R. Valdez, Tommi J. Vasankari, Diana Z. Velazquez, Narayanaswamy Venketasubramanian, Giang T. Vu, Isidora S. Vujcic, Yasir Waheed, Yanzhong Wang, Fang Wang, Jingkai Wei, Robert G. Weintraub, Abrha H. Weldemariam, Ronny Westerman, Andrea S. Winkler, Charles S. Wiysonge, Charles D.A. Wolfe, Befikadu Legesse Wubishet, Gelin Xu, Ali Yadollahpour, Kazumasa Yamagishi, Lijing L. Yan, Srikanth Yandrapalli, Yuichiro Yano, Hiroshi Yatsuya, Tomas Y. Yeheyis, Yigizie Yeshaw, Christopher S. Yilgwan, Naohiro Yonemoto, Chuanhua Yu, Hasan Yusefzadeh, Geevar Zachariah, Sojib Bin Zaman, Muhammed S. Zaman, Maryam Zamanian, Ramin Zand, Alireza Zandifar, Afshin Zarghi, Mikhail S. Zastrozhin, Anasthasia Zastrozhina, Zhi-Jiang Zhang, Yunquan Zhang, Wangjian Zhang, Chenwen Zhong, Zhiyong Zou, Yves Miel H. Zuniga, and Christopher J.L. Murray

Subjects
BMI, body mass index, GBD, Global Burden of Diseases, Injuries, and Risk Factors Study, IS, ischemic stroke, 030204 cardiovascular system & hematology, MV, mitral valve, SDI, sociodemographic index, Global Health, UI, uncertainty interval, Global Burden of Disease, GBD-NHLBI-JACC Global Burden of Cardiovascular Diseases Writing Group, 0302 clinical medicine, Cost of Illness, LDL, low-density lipoprotein, Case fatality rate, Global health, 030212 general & internal medicine, IKF, impaired kidney function, 1102 Cardiorespiratory Medicine and Haematology, Incidence (epidemiology), Health Policy, IHD, ischemic heart disease, 1. No poverty, AC, alcoholic cardiomyopathy, 3. Good health, HICs, high-income countries, Cardiovascular Diseases, DALYs, disability-adjusted life years, TMREL, theoretical minimum risk exposure level, Public Health, HHD, hypertensive heart disease, Cardiology and Cardiovascular Medicine, medicine.medical_specialty, AF, atrial fibrillation, Population health, CVD, cardiovascular disease, LMICs, low- and middle-income countries, PM, particulate matter, 1117 Public Health and Health Services, 03 medical and health sciences, JACC State-of-the-Art Review, RHD, rheumatic heart disease, Environmental health, medicine, Humans, LPA, low physical activity, YLLs, years of life lost, Health policy, Disease burden, PAD, peripheral artery disease, business.industry, SBP, systolic blood pressure, Public health, CKD, chronic kidney disease, The Present and Future, AFL, atrial flutter, Correction, HAP, household air pollution, ICD, International Classification of Diseases, CAVD, calcific aortic valve disease, YLDs, years lived with disability, Years of potential life lost, CHA, congenital heart anomalies, Cardiovascular System & Hematology, Heart Disease Risk Factors, business, population health
Abstract

Cardiovascular diseases (CVDs), principally ischemic heart disease (IHD) and stroke, are the leading cause of global mortality and a major contributor to disability. This paper reviews the magnitude of total CVD burden, including 13 underlying causes of cardiovascular death and 9 related risk factors, using estimates from the Global Burden of Disease (GBD) Study 2019. GBD, an ongoing multinational collaboration to provide comparable and consistent estimates of population health over time, used all available population-level data sources on incidence, prevalence, case fatality, mortality, and health risks to produce estimates for 204 countries and territories from 1990 to 2019. Prevalent cases of total CVD nearly doubled from 271 million (95% uncertainty interval [UI]: 257 to 285 million) in 1990 to 523 million (95% UI: 497 to 550 million) in 2019, and the number of CVD deaths steadily increased from 12.1 million (95% UI:11.4 to 12.6 million) in 1990, reaching 18.6 million (95% UI: 17.1 to 19.7 million) in 2019. The global trends for disability-adjusted life years (DALYs) and years of life lost also increased significantly, and years lived with disability doubled from 17.7 million (95% UI: 12.9 to 22.5 million) to 34.4 million (95% UI:24.9 to 43.6 million) over that period. The total number of DALYs due to IHD has risen steadily since 1990, reaching 182 million (95% UI: 170 to 194 million) DALYs, 9.14 million (95% UI: 8.40 to 9.74 million) deaths in the year 2019, and 197 million (95% UI: 178 to 220 million) prevalent cases of IHD in 2019. The total number of DALYs due to stroke has risen steadily since 1990, reaching 143 million (95% UI: 133 to 153 million) DALYs, 6.55 million (95% UI: 6.00 to 7.02 million) deaths in the year 2019, and 101 million (95% UI: 93.2 to 111 million) prevalent cases of stroke in 2019. Cardiovascular diseases remain the leading cause of disease burden in the world. CVD burden continues its decades-long rise for almost all countries outside high-income countries, and alarmingly, the age-standardized rate of CVD has begun to rise in some locations where it was previously declining in high-income countries. There is an urgent need to focus on implementing existing cost-effective policies and interventions if the world is to meet the targets for Sustainable Development Goal 3 and achieve a 30% reduction in premature mortality due to noncommunicable diseases., Central Illustration, Highlights • The burden of CVD, in number of DALYs and deaths, continues to increase globally. • CVD burden attributable to modifiable risk factors continues to increase globally. • Countries should invest in existing cost-effective public health programs and clinical interventions to target modifiable risks, promote healthy aging across the lifespan, and reduce disability and premature death due to CVD.

Published
2020

14. Cadmium Is Associated with Type 2 Diabetes in a Superfund Site Lead Smelter Community in Dallas, Texas

Author

Robert Reilly, Brad Walsh, Bert B. Little, and Giang T. Vu

Subjects
Adult, endocrine system diseases, cadmium, Health, Toxicology and Mutagenesis, chemistry.chemical_element, Industrial Waste, lcsh:Medicine, 030209 endocrinology & metabolism, Physical examination, Type 2 diabetes, 010501 environmental sciences, Superfund, 01 natural sciences, Article, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Insulin resistance, Environmental health, Medicine, Humans, 0105 earth and related environmental sciences, Superfund site, African-American, Cadmium, medicine.diagnostic_test, business.industry, lcsh:R, Public Health, Environmental and Occupational Health, Type 2 Diabetes Mellitus, nutritional and metabolic diseases, Lead smelting, Environmental Exposure, Middle Aged, medicine.disease, Texas, EPA superfund, chemistry, Diabetes Mellitus, Type 2, Lead, Female, business
Abstract

Objective: To test the hypothesis that cadmium (Cd) exposure is associated with type 2 diabetes mellitus (T2DM). Materials and Methods: A two-phase health screening (physical examination and laboratory tests) was conducted in a lead smelter community following a Superfund Cleanup. Participants were African Americans aged &gt, 19 years to &lt, 89 years. Multiple logistic regression was used to analyze T2DM regressed on blood Cd level and covariates: body mass index (BMI), heavy metals (Ar, Cd, Hg, Pb), duration of residence, age, smoking status, and sex. Results: Of 875 subjects environmentally exposed to Cd, 55 were occupationally exposed to by-products of lead smelting and 820 were community residents. In addition, 109 T2DM individuals lived in the community for an average of 21.0 years, and 766 non-T2DM individuals for 19.0 years. T2DM individuals (70.3%) were &gt, 50 years old. Blood Cd levels were higher among T2DM subjects (p &lt, 0.006) compared to non-T2DM individuals. Logistic regression of T2DM status identified significant predictors: Cd level (OR = 1.85, 95% CI: 1.14&ndash, 2.99, p &lt, 0.01), age &gt, 50 years (OR = 3.10, 95% CI: 1.91&ndash, 5.02, p &lt, 0.0001), and BMI (OR = 1.07, CI: 1.04&ndash, 1.09, 0.0001). In meta-analysis of 12 prior studies and this one, T2DM risk was OR = 1.09 (95% CI: 1.03&ndash, 1.15, p &lt, 0.004) fixed effects and 1.22 (95% CI: 1.04&ndash, 1.44, p &lt, 0.02) random effects. Discussion: Chronic environmental Cd exposure was associated with T2DM in a smelter community, controlling for covariates. T2DM onset &lt, 50 years was significantly associated with Cd exposure, but &gt, 50 years was not. Meta-analysis suggests that Cd exposure is associated with a small, but significant increased risk for T2DM. Available data suggest Cd exposure is associated with an increased propensity to increased insulin resistance.

Published
2020

15. A Global Bibliometric Analysis of Services for Children Affected by HIV/Acquired Immune Deficiency Syndrome: Implications for Impact Mitigation Programs (GAPRESEARCH)

Author

Bach X, Tran, Kalpana I, Nathan, Hai T, Phan, Brian J, Hall, Giang T, Vu, Linh G, Vu, Hai Q, Pham, Carl A, Latkin, Cyrus S H, Ho, and Roger C M, Ho

Abstract

Tremendous progress has been made over the past three decades in the fight against the human immunodeficiency virus (HIV) epidemic; however, children experienced substantial physical and psychosocial effects of HIV infection. To inform services and policy development, we analyzed research growth and current trends in studies on children with HIV/acquired immune deficiency syndrome (AIDS). A total of 17,598 research papers and reviews in English, which were published on Web of Science, were downloaded. VOSviewer was used to generate an author keyword cooccurrence network and a network illustrating the connection among countries by shared coauthorships. Exploratory factor analysis was employed to identify research domains emerging from the abstracts' contents. The number of papers and their impacts had grown significantly in the past decade. The majority of study settings were in African countries. Research topics related to HIV in children were robust in areas of prevention of mother-to-child transmission and HIV and comorbidities treatments. Although psychosocial and behavioral disorders were recognized in previous studies, the number of interventions in these fields is still limited or not sustained. This study presents the global research trends and interests, points out research gaps of available publications and suggests several implications for services and intervention programs for children infected with HIV/AIDS. While preventions of mother-to-child transmission have been extensively studied, more efforts should be made to fulfill the lack of research on young people who are at risk of being infected or who are already infected with HIV. System thinking approach is needed in the design and implementation of future studies.

Published
2019

16. The impact of COVID-19 pandemic on physical and mental health of Asians: A study of seven middle-income countries in Asia.

Author

Cuiyan Wang, Michael Tee, Ashley Edward Roy, Mohammad A Fardin, Wandee Srichokchatchawan, Hina A Habib, Bach X Tran, Shahzad Hussain, Men T Hoang, Xuan T Le, Wenfang Ma, Hai Q Pham, Mahmoud Shirazi, Nutta Taneepanichskul, Yilin Tan, Cherica Tee, Linkang Xu, Ziqi Xu, Giang T Vu, Danqing Zhou, Bernard J Koh, Roger S McIntyre, Cyrus Ho, Roger C Ho, and Vipat Kuruchittham

Subjects
Medicine, Science
Abstract

The coronavirus disease (COVID-19) pandemic has impacted the economy, livelihood, and physical and mental well-being of people worldwide. This study aimed to compare the mental health status during the pandemic in the general population of seven middle income countries (MICs) in Asia (China, Iran, Malaysia, Pakistan, Philippines, Thailand, and Vietnam). All the countries used the Impact of Event Scale-Revised (IES-R) and Depression, Anxiety and Stress Scale (DASS-21) to measure mental health. There were 4479 Asians completed the questionnaire with demographic characteristics, physical symptoms and health service utilization, contact history, knowledge and concern, precautionary measure, and rated their mental health with the IES-R and DASS-21. Descriptive statistics, One-Way analysis of variance (ANOVA), and linear regression were used to identify protective and risk factors associated with mental health parameters. There were significant differences in IES-R and DASS-21 scores between 7 MICs (p

Published
2021
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