Author: "Weiss, Jordan" / Publication Type: Magazines - Searchworks@Jio Institute Digital Library Search Results

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1. Mediating and moderating effects of plasma proteomic biomarkers on the association between poor oral health problems and incident dementia: The UK Biobank study

Author: Beydoun, Hind A., Beydoun, May A., Noren Hooten, Nicole, Weiss, Jordan, Li, Zhiguang, Georgescu, Michael F., Vieytes, Christian A. Maino, Meirelles, Osorio, Launer, Lenore J., Evans, Michele K., and Zonderman, Alan B.
Abstract: The plasma proteome can mediate poor oral health problems (POHP)’s link to incident dementia. We screened 37,269 UK Biobank participants 50–74 years old (2006–2010) for prevalent POHP, further tested against 1463 plasma proteins and incident dementia over up to 15 years of follow-up. Total effect (TE) of POHP-dementia through plasma proteomic markers was decomposed into pure indirect effect (PIE), interaction referent (INTREF), controlled direct effect (CDE), or mediated interaction (INTMED). POHP increased the risk of all-cause dementia by 17% (P< 0.05). Growth differentiation factor 15 (GDF15) exhibited the strongest mediating effects (PIE > 0, P< 0.001), explaining 28% the total effect of POHP on dementia, as a pure indirect effect. A first principal component encompassing top 4 mediators (GDF15, IL19, MMP12, and ACVRL1), explained 11% of the POHP-dementia effect as a pure indirect effect. Pathway analysis including all mediators (k= 173 plasma proteins) revealed the involvement of the immune system, signal transduction, metabolism, disease, and gene expression, while STRING analysis indicated that top mediators within the first principal component were also represented in the two largest proteomic clusters. The dominant biological GO pathway for the GDF15 cluster was GO:0007169 labeled as “transmembrane receptor protein tyrosine kinase signaling pathway.” Dementia is linked to POHP mediated by GDF15 among several proteomic markers.
Published: 2024
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2. Uncovering mediational pathways behind racial and socioeconomic disparities in brain volumes: insights from the UK Biobank study

Author: Beydoun, May A., Beydoun, Hind A., Fanelli-Kuczmarski, Marie T., Hu, Yi-Han, Shaked, Danielle, Weiss, Jordan, Waldstein, Shari R., Launer, Lenore J., Evans, Michele K., and Zonderman, Alan B.
Abstract: Mediation pathways explaining racial/ethnic and socioeconomic (SES) disparities in structural MRI markers of brain health remain underexplored. We examined racial/ethnic and SES disparities in sMRI markers and tested total, direct, and indirect effects through lifestyle, health-related, and cognition factors using a structural equations modeling approach among 36,184 UK Biobank participants aged 40–70 years at baseline assessment (47% men). Race (non-White vs. White) and lower SES-predicted poorer brain sMRI volumetric outcomes at follow-up, with racial/ethnic disparities in sMRI outcomes involving multiple pathways and SES playing a central role in those pathways. Mediational patterns differed across outcomes, with the SES-sMRI total effect being partially mediated for all outcomes. Over 20% of the total effect (TE) of race/ethnicity on WMH was explained by the indirect effect (IE), by a combination of different pathways going through SES, lifestyle, health-related, and cognition factors. This is in contrast to < 10% for total brain, gray matter (GM), white matter (WM), and frontal GM left/right. Another significant finding is that around 57% of the total effect for SES and the normalized white matter hyperintensity (WMH) was attributed to an indirect effect. This effect encompasses many pathways that involve lifestyle, health-related, and cognitive aspects. Aside from WMH, the percent of TE of SES mediated through various pathways ranged from ~ 5% for WM to > 15% up to 36% for most of the remaining sMRI outcomes, which are composed mainly of GM phenotypes. Race and SES were important determinants of brain volumetric outcomes, with partial mediation of racial/ethnic disparities through SES, lifestyle, health-related, and cognition factors.
Published: 2024
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3. Mediating and moderating effects of plasma proteomic biomarkers on the association between poor oral health problems and brain white matter microstructural integrity: the UK Biobank study

Author: Beydoun, May A., Beydoun, Hind A., Hu, Yi-Han, Li, Zhiguang, Georgescu, Michael F., Noren Hooten, Nicole, Bouhrara, Mustapha, Weiss, Jordan, Launer, Lenore J., Evans, Michele K., and Zonderman, Alan B.
Abstract: The plasma proteome can mediate associations between periodontal disease (Pd) and brain white matter integrity (WMI). We screened 5089 UK Biobank participants aged 40–70 years for poor oral health problems (POHP). We examined the association between POHP and WMI (fractional anisotropy (FA), mean diffusivity (MD), Intracellular Volume Fraction (ICVF), Isotropic Volume Fraction (ISOVF) and Orientation Diffusion (OD)), decomposing the total effect through the plasma proteome of 1463 proteins into pure mediation, pure interaction, neither, while adjusting for socio-demographic and cardiovascular health factors. Similarly, structural equations modeling (SEM) was conducted. POHP was more prevalent among men (12.3% vs. 9.6%), and was associated with lower WMI on most metrics, in a sex-specific manner. Of 15 proteins strongly associated with POHP, growth differentiation factor 15 (GDF15) and WAP four-disulfide core domain 2 (WFDC2; also known as human epididymis protein 4; HE4) were consistent mediators. Both proteins mediated 7–8% of total POHP effect on FAmean. SEM yielded significant total effects for FAmean, MDmeanand ISOVFmeanin full models, with %mediated by common latent factor (GDF15 and WFDC2) ranging between 13% (FAmean) and 19% (ISOVFmean). For FA, mediation by this common factor was found for 16 of 49 tract-specific and global mean metrics. Protein metabolism, immune system, and signal transduction were the most common pathways for mediational effects. POHP was associated with poorer WMI, which was partially mediated by GDF15 and WFDC2.
Published: 2024
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4. Pathways explaining racial/ethnic and socio-economic disparities in brain white matter integrity outcomes in the UK Biobank study

Author: Weiss, Jordan, Beydoun, May A., Beydoun, Hind A., Georgescu, Michael F., Hu, Yi-Han, Noren Hooten, Nicole, Banerjee, Sri, Launer, Lenore J., Evans, Michele K., and Zonderman, Alan B.
Abstract: Pathways explaining racial/ethnic and socio-economic status (SES) disparities in white matter integrity (WMI) reflecting brain health, remain underexplored, particularly in the UK population. We examined racial/ethnic and SES disparities in diffusion tensor brain magnetic resonance imaging (dMRI) markers, namely global and tract-specific mean fractional anisotropy (FA), and tested total, direct and indirect effects through lifestyle, health-related and cognition factors using a structural equations modeling approach among 36,184 UK Biobank participants aged 40–70 y at baseline assessment (47% men). Multiple linear regression models were conducted, testing independent associations of race/ethnicity, socio-economic and other downstream factors in relation to global mean FA, while stratifying by Alzheimer’s Disease polygenic Risk Score (AD PRS) tertiles. Race (Non-White vs. White) and lower SES predicted poorer WMI (i.e. lower global mean FA) at follow-up, with racial/ethnic disparities in FAmeaninvolving multiple pathways and SES playing a central role in those pathways. Mediational patterns differed across tract-specific FA outcomes, with SES-FAmeantotal effect being partially mediated (41% of total effect = indirect effect). Furthermore, the association of poor cognition with FAmeanwas markedly stronger in the two uppermost AD PRS tertiles compared to the lower tertile (T2and T3: β±SE: −0.0009 ± 0.0001 vs. T1: β±SE: −0.0005 ± 0.0001, P < 0.001), independently of potentially confounding factors. Race and lower SES were generally important determinants of adverse WMI outcomes, with partial mediation of socio-economic disparities in global mean FA through lifestyle, health-related and cognition factors. The association of poor cognition with lower global mean FA was stronger at higher AD polygenic risk.
Published: 2024
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5. Association of Serum Antioxidant Vitamins and Carotenoids With Incident Alzheimer Disease and All-Cause Dementia Among US Adults

Author: Beydoun, May A., Beydoun, Hind A., Fanelli-Kuczmarski, Marie T., Weiss, Jordan, Hossain, Sharmin, Canas, Jose Atilio, Evans, Michele Kim, and Zonderman, Alan B.
Published: 2022
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6. A new standard for corporate tax shelters.

Author: Weiss, Jordan P. and Baroutjian, Raffi S.
Subjects: Tax shelters -- Standards, Corporations -- Taxation
Published: 1999

7. Helicobacter pylori, periodontal pathogens, and their interactive association with incident all-cause and Alzheimer’s disease dementia in a large national survey

Author: Beydoun, May A., Beydoun, Hind A., Weiss, Jordan, Hossain, Sharmin, El-Hajj, Ziad W., and Zonderman, Alan B.
Abstract: Co-infection between Helicobacter pylori(Hp) and groups of periodontal pathogens may alter the onset of Alzheimer’s disease (AD) and all-cause dementia. We examined the interactive associations among Hpsero-positivity, periodontal disease (Pd), and infections with incident AD and all-cause dementia, among older adults (≥65 years at baseline). Up to 1431 participants from phase 1 of the National Health and Nutrition Survey III (1988–1991) had complete data till January 1st, 2014 on Hpsero-positivity with a mean follow-up of 10–11 years for AD and all-cause dementia incidence. Exposures consisted of 19 periodontal pathogens, constructed factors and clusters, and two Pd markers- probing depth and clinical attachment loss (CAL). Cox proportional hazards models were performed. Around 55% of the selected sample was Hp+. We found that Prevotella intermedia, Campylobacter Rectus, Factor 2 (Pi/Prevotella nigrescens/Prevotella melaninogenica), and the Orange-Red cluster interacted synergistically with Hpsero-positivity, particularly with respect to AD incidence. The presence of higher levels of Actinomyces Naeslundii(An)enhanced the effect of being Hp+on both AD and all-cause dementia incidence. In contrast, Fusobacterim nucleatum(Fn), and Factor 1 (which included Fn), exhibited an antagonistic interaction with Hpin relation to all-cause dementia. Both probing depth and CAL had direct associations with all-cause dementia among Hp+individuals, despite nonsignificant interaction. Selected periodontal pathogen titers, factors, and clusters interacted mostly synergistically, with Hpsero-positivity, to alter the risk of AD and all-cause dementia. Ultimately, a randomized controlled trial is needed, examining effects of co-eradication of Hpand select periodontal pathogens on neurodegenerative disease.
Published: 2021
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8. Burden of Neurological Disorders Across the US From 1990-2017: A Global Burden of Disease Study

Author: Feigin, Valery L., Vos, Theo, Alahdab, Fares, Amit, Arianna Maever L., Bärnighausen, Till Winfried, Beghi, Ettore, Beheshti, Mahya, Chavan, Prachi P., Criqui, Michael H., Desai, Rupak, Dhamminda Dharmaratne, Samath, Dorsey, E. Ray, Wilder Eagan, Arielle, Elgendy, Islam Y., Filip, Irina, Giampaoli, Simona, Giussani, Giorgia, Hafezi-Nejad, Nima, Hole, Michael K., Ikeda, Takayoshi, Owens Johnson, Catherine, Kalani, Rizwan, Khatab, Khaled, Khubchandani, Jagdish, Kim, Daniel, Koroshetz, Walter J., Krishnamoorthy, Vijay, Krishnamurthi, Rita V., Liu, Xuefeng, Lo, Warren David, Logroscino, Giancarlo, Mensah, George A., Miller, Ted R., Mohammed, Salahuddin, Mokdad, Ali H., Moradi-Lakeh, Maziar, Morrison, Shane Douglas, Shivamurthy, Veeresh Kumar N., Naghavi, Mohsen, Nichols, Emma, Norrving, Bo, Odell, Christopher M., Pupillo, Elisabetta, Radfar, Amir, Roth, Gregory A., Shafieesabet, Azadeh, Sheikh, Aziz, Sheikhbahaei, Sara, Shin, Jae Il, Singh, Jasvinder A., Steiner, Timothy J., Stovner, Lars Jacob, Wallin, Mitchell Taylor, Weiss, Jordan, Wu, Chenkai, Zunt, Joseph Raymond, Adelson, Jaimie D., and Murray, Christopher J. L.
Abstract: IMPORTANCE: Accurate and up-to-date estimates on incidence, prevalence, mortality, and disability-adjusted life-years (burden) of neurological disorders are the backbone of evidence-based health care planning and resource allocation for these disorders. It appears that no such estimates have been reported at the state level for the US. OBJECTIVE: To present burden estimates of major neurological disorders in the US states by age and sex from 1990 to 2017. DESIGN, SETTING, AND PARTICIPANTS: This is a systematic analysis of the Global Burden of Disease (GBD) 2017 study. Data on incidence, prevalence, mortality, and disability-adjusted life-years (DALYs) of major neurological disorders were derived from the GBD 2017 study of the 48 contiguous US states, Alaska, and Hawaii. Fourteen major neurological disorders were analyzed: stroke, Alzheimer disease and other dementias, Parkinson disease, epilepsy, multiple sclerosis, motor neuron disease, migraine, tension-type headache, traumatic brain injury, spinal cord injuries, brain and other nervous system cancers, meningitis, encephalitis, and tetanus. EXPOSURES: Any of the 14 listed neurological diseases. MAIN OUTCOME AND MEASURE: Absolute numbers in detail by age and sex and age-standardized rates (with 95% uncertainty intervals) were calculated. RESULTS: The 3 most burdensome neurological disorders in the US in terms of absolute number of DALYs were stroke (3.58 [95% uncertainty interval [UI], 3.25-3.92] million DALYs), Alzheimer disease and other dementias (2.55 [95% UI, 2.43-2.68] million DALYs), and migraine (2.40 [95% UI, 1.53-3.44] million DALYs). The burden of almost all neurological disorders (in terms of absolute number of incident, prevalent, and fatal cases, as well as DALYs) increased from 1990 to 2017, largely because of the aging of the population. Exceptions for this trend included traumatic brain injury incidence (−29.1% [95% UI, −32.4% to −25.8%]); spinal cord injury prevalence (−38.5% [95% UI, −43.1% to −34.0%]); meningitis prevalence (−44.8% [95% UI, −47.3% to −42.3%]), deaths (−64.4% [95% UI, −67.7% to −50.3%]), and DALYs (−66.9% [95% UI, −70.1% to −55.9%]); and encephalitis DALYs (−25.8% [95% UI, −30.7% to −5.8%]). The different metrics of age-standardized rates varied between the US states from a 1.2-fold difference for tension-type headache to 7.5-fold for tetanus; southeastern states and Arkansas had a relatively higher burden for stroke, while northern states had a relatively higher burden of multiple sclerosis and eastern states had higher rates of Parkinson disease, idiopathic epilepsy, migraine and tension-type headache, and meningitis, encephalitis, and tetanus. CONCLUSIONS AND RELEVANCE: There is a large and increasing burden of noncommunicable neurological disorders in the US, with up to a 5-fold variation in the burden of and trends in particular neurological disorders across the US states. The information reported in this article can be used by health care professionals and policy makers at the national and state levels to advance their health care planning and resource allocation to prevent and reduce the burden of neurological disorders.
Published: 2021
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9. Estimates of the Association of Dementia With US Mortality Levels Using Linked Survey and Mortality Records

Author: Stokes, Andrew C., Weiss, Jordan, Lundberg, Dielle J., Xie, Wubin, Kim, Jung Ki, Preston, Samuel H., and Crimmins, Eileen M.
Abstract: IMPORTANCE: Vital statistics are the primary source of data used to understand the mortality burden of dementia in the US, despite evidence that dementia is underreported on death certificates. Alternative estimates, drawing on population-based samples, are needed. OBJECTIVE: To estimate the percentage of deaths attributable to dementia in the US. DESIGN, SETTING, AND PARTICIPANTS: A prospective cohort study of the Health and Retirement Study of noninstitutionalized US individuals with baseline exposure assessment in 2000 and follow-up through 2009 was conducted. Data were analyzed from November 2018 to May 2020. The sample was drawn from 7489 adults aged 70 to 99 years interviewed directly or by proxy. Ninety participants with missing covariates or sample weights and 57 participants lost to follow-up were excluded. The final analytic sample included 7342 adults. EXPOSURE: Dementia and cognitive impairment without dementia (CIND) were identified at baseline using Health and Retirement Study self- or proxy-reported cognitive measures and the validated Langa-Weir score cutoff. MAIN OUTCOMES AND MEASURES: Hazard ratios relating dementia and CIND status to all-cause mortality were estimated using Cox proportional hazards regression models, accounting for covariates, and were used to calculate population-attributable fractions. Results were compared with information on cause of death from death certificates. RESULTS: Of the 7342 total sample, 4348 participants (60.3%) were women. At baseline, 4533 individuals (64.0%) were between ages 70 and 79 years, 2393 individuals (31.0%) were between 80 and 89 years, and 416 individuals (5.0%) were between 90 and 99 years; percentages were weighted. The percentage of deaths attributable to dementia was 13.6% (95% CI, 12.2%-15.0%) between 2000 and 2009. The mortality burden of dementia was significantly higher among non-Hispanic Black participants (24.7%; 95% CI, 17.3-31.4) than non-Hispanic White participants (12.2%; 95% CI, 10.7-13.6) and among adults with less than a high school education (16.2%; 95% CI, 13.2%-19.0%) compared with those with a college education (9.8%; 95% CI, 7.0%-12.5%). Underlying cause of death recorded on death certificates (5.0%; 95% CI, 4.3%-5.8%) underestimated the contribution of dementia to US mortality by a factor of 2.7. Incorporating deaths attributable to CIND revealed an even greater underestimation. CONCLUSIONS AND RELEVANCE: The findings of this study suggest that the mortality burden associated with dementia is underestimated using vital statistics, especially when considering CIND in addition to dementia.
Published: 2020
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10. Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019

Author: Wang, Haidong, Abbas, Kaja M, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd-Allah, Foad, Abdelalim, Ahmed, Abolhassani, Hassan, Abreu, Lucas Guimarães, Abrigo, Michael R M, Abushouk, Abdelrahman I, Adabi, Maryam, Adair, Tim, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adekanmbi, Victor, Adeoye, Abiodun Moshood, Adetokunboh, Olatunji O, Advani, Shailesh M, Afshin, Ashkan, Aghaali, Mohammad, Agrawal, Anurag, Ahmadi, Keivan, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Al-Aly, Ziyad, Alam, Khurshid, Alam, Tahiya, Alanezi, Fahad Mashhour, Alanzi, Turki M, Alcalde-Rabanal, Jacqueline Elizabeth, Ali, Muhammad, Alicandro, Gianfranco, Alijanzadeh, Mehran, Alinia, Cyrus, Alipour, Vahid, Alizade, Hesam, Aljunid, Syed Mohamed, Allebeck, Peter, Almadi, Majid Abdulrahman Hamad, Almasi-Hashiani, Amir, Al-Mekhlafi, Hesham M, Altirkawi, Khalid A, Alumran, Arwa Khalid, Alvis-Guzman, Nelson, Amini-Rarani, Mostafa, Aminorroaya, Arya, Amit, Arianna Maever L, Ancuceanu, Robert, Andrei, Catalina Liliana, Androudi, Sofia, Angus, Colin, Anjomshoa, Mina, Ansari, Fereshteh, Ansari, Iman, Ansari-Moghaddam, Alireza, Antonio, Carl Abelardo T, Antony, Catherine M, Anvari, Davood, Appiah, Seth Christopher Yaw, Arabloo, Jalal, Arab-Zozani, Morteza, Aravkin, Aleksandr Y, Aremu, Olatunde, Ärnlöv, Johan, Aryal, Krishna K, Asadi-Pooya, Ali A, Asgari, Samaneh, Asghari Jafarabadi, Mohammad, Atteraya, Madhu Sudhan, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide Frinel Gbenato Arthur, Ayala Quintanilla, Beatriz Paulina, Ayano, Getinet, Ayanore, Martin Amogre, Azarian, Ghasem, Babaee, Ebrahim, Badiye, Ashish D, Bagli, Eleni, Bahrami, Mohammad Amin, Bakhtiari, Ahad, Balassyano, Shelly, Banach, Maciej, Banik, Palash Chandra, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barzegar, Akbar, Basu, Sanjay, Baune, Bernhard T, Bayati, Mohsen, Bazmandegan, Gholamreza, Bedi, Neeraj, Bell, Michellr L, Bennett, Derrick A, Bensenor, Isabela M, Berhe, Kidanemaryam, Berman, Adam E, Bertolacci, Gregory J, Bhageerathy, Reshmi, Bhala, Neeraj, Bhattacharyya, Krittika, Bhutta, Zulfiqar A, Bijani, Ali, Biondi, Antonio, Bisanzio, Donal, Bisignano, Catherine, Biswas, Raaj Kishore, Bjørge, Tone, Bohlouli, Somayeh, Bohluli, Mehdi, Bolla, Srinivasa Rao Rao, Borzì, Antonio Maria, Borzouei, Shiva, Brady, Oliver J, Braithwaite, Dejana, Brauer, Michael, Briko, Andrey Nikolaevich, Briko, Nikolay Ivanovich, Bumgarner, Blair R, Burugina Nagaraja, Sharath, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cai, Tianji, Callender, Charlton SKH, Cámera, Luis LA Alberto, Campos-Nonato, Ismael R, Cárdenas, Rosario, Carreras, Giulia, Carrero, Juan J, Carvalho, Felix, Castaldelli-Maia, Joao Mauricio, Castelpietra, Giulio, Castro, Franz, Catalá-López, Ferrán, Cederroth, Christopher R, Cerin, Ester, Chattu, Vijay Kumar, Chin, Ken Lee, Chu, Dinh-Toi, Ciobanu, Liliana G, Cirillo, Massimo, Comfort, Haley, Costa, Vera Marisa, Cowden, Richard G, Cromwell, Elizabeth A, Croneberger, Andrew J, Cunningham, Matthew, Dahlawi, Saad M A, Damiani, Giovanni, D'Amico, Emanuele, Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I, Darwesh, Aso Mohammad, Daryani, Ahmad, Das Gupta, Rajat, das Neves, José, Davletov, Kairat, De Leo, Diego, Denova-Gutiérrez, Edgar, Deribe, Kebede, Dervenis, Nikolaos, Desai, Rupak, Dhungana, Govinda Prasad, Dias da Silva, Diana, Diaz, Daniel, Dippenaar, Ilse N, Djalalinia, Shirin, Do, Hoa Thi, Dokova, Klara, Doku, David Teye, Dorostkar, Fariba, Doshi, Chirag P, Doshmangir, Leila, Doyle, Kerrie E, Dubljanin, Eleonora, Duraes, Andre Rodrigues, Edvardsson, David, Effiong, Andem, El Sayed, Iman, El Tantawi, Maha, Elbarazi, Iffat, El-Jaafary, Shaimaa I, Emamian, Mohammad Hassan, Eskandarieh, Sharareh, Esmaeilzadeh, Firooz, Estep, Kara, Farahmand, Mohammad, Faraj, Anwar, Fareed, Mohammad, Faridnia, Roghiyeh, Faro, Andre, Farzadfar, Farshad, Fattahi, Nazir, Fazaeli, Ali Akbar, Fazlzadeh, Mehdi, Feigin, Valery L, Fereshtehnejad, Seyed-Mohammad, Fernandes, Eduarda, Ferreira, Manuela L, Filip, Irina, Fischer, Florian, Flohr, Carsten, Foigt, Nataliya A, Folayan, Morenike Oluwatoyin, Fomenkov, Artem Alekseevich, Freitas, Marisa, Fukumoto, Takeshi, Fuller, John E, Furtado, João M, Gad, Mohamed M, Gakidou, Emmanuela, Gallus, Silvano, Gebrehiwot, Abiyu Mekonnen, Gebremedhin, Ketema Bizuwork, Gething, Peter W, Ghamari, Farhad, Ghashghaee, Ahmad, Gholamian, Asadollah, Gilani, Syed Amir, Gitimoghaddam, Mojgan, Glushkova, Ekaterina Vladimirovna, Gnedovskaya, Elena V, Gopalani, Sameer Vali, Goulart, Alessandra C, Gugnani, Harish Chander, Guo, Yuming, Gupta, Rajeev, Gupta, Subodh Sharan, Haagsma, Juanita A, Haj-Mirzaian, Arvin, Haj-Mirzaian, Arya, Halvaei, Iman, Hamadeh, Randah R, Hamagharib Abdullah, Kanaan, Han, Chieh, Handiso, Demelash Woldeyohannes, Hankey, Graeme J, Haririan, Hamidreza, Haro, Josep Maria, Hasaballah, Ahmed I, Hassanipour, Soheil, Hassankhani, Hadi, Hay, Simon I, Heibati, Behzad, Heidari-Soureshjani, Reza, Henny, Kiana, Henry, Nathaniel J, Herteliu, Claudiu, Heydarpour, Fatemeh, Hole, Michael K, Hoogar, Praveen, Hosgood, H Dean, Hossain, Naznin, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Hostiuc, Sorin, Househ, Mowafa, Hoy, Damian G, Hu, Guoqing, Huda, Tanvir M, Ibitoye, Segun Emmanuel, Ikuta, Kevin S, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Imani-Nasab, Mohammad Hasan, Islam, MdMohaimenul, Iso, Hiroyasu, Iwu, Chinwe Juliana, Jaafari, Jalil, Jacobsen, Kathryn H, Jahagirdar, Deepa, Jahanmehr, Nader, Jalali, Amir, Jalilian, Farzad, James, Spencer L, Janjani, Hosna, Jenabi, Ensiyeh, Jha, Ravi Prakash, Jha, Vivekanand, Ji, John S, Jonas, Jost B, Joukar, Farahnaz, Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kabir, Zubair, Kalani, Hamed, Kalankesh, Leila R, Kamiab, Zahra, Kanchan, Tanuj, Kapoor, Neeti, Karch, André, Karimi, Salah Eddin, Karimi, Seyed Asaad, Kassebaum, Nicholas J, Katikireddi, Srinivasa Vittal, Kawakami, Norito, Kayode, Gbenga A, Keiyoro, Peter Njenga, Keller, Cathleen, Khader, Yousef Saleh, Khalid, Nauman, Khan, Ejaz Ahmad, Khan, Maseer, Khang, Young-Ho, Khater, Amir M, Khater, Mona M, Khazaei, Salman, Khazaie, Habibolah, Khodayari, Mohammad Taghi, Khubchandani, Jagdish, Kianipour, Neda, Kim, Cho-il, Kim, Young-Eun, Kim, Yun Jin, Kinfu, Yohannes, Kisa, Adnan, Kisa, Sezer, Kissimova-Skarbek, Katarzyna, Kivimäki, Mika, Komaki, Hamidreza, Kopec, Jacek A, Kosen, Soewarta, Koul, Parvaiz A, Koyanagi, Ai, Kravchenko, Michael A, Krishan, Kewal, Krohn, Kris J, Kuate Defo, Barthelemy, Kumar, G Anil, Kumar, Manasi, Kumar, Pushpendra, Kumar, Vivek, Kusuma, Dian, Kyu, Hmwe Hmwe, La Vecchia, Carlo, Lacey, Ben, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lami, Faris Hasan, Lansky, Sonia, Larson, Samantha Leigh, Larsson, Anders O, Lasrado, Savita, Lassi, Zohra S, Lazarus, Jeffrey V, Lee, Paul H, Lee, Shaun Wen Huey, Leever, Andrew T, LeGrand, Kate E, Leonardi, Matilde, Li, Shanshan, Lim, Lee-Ling, Lim, Stephen S, Linn, Shai, Lodha, Rakesh, Logroscino, Giancarlo, Lopez, Alan D, Lopukhov, Platon D, Lotufo, Paulo A, Lozano, Rafael, Lu, Alton, Lunevicius, Raimundas, Madadin, Mohammed, Maddison, Emilie R, Magdy Abd El Razek, Hassan, Magdy Abd El Razek, Muhammed, Mahasha, Phetole Walter, Mahdavi, Mokhtar Mahdavi, Malekzadeh, Reza, Mamun, Abdullah A, Manafi, Navid, Mansour-Ghanaei, Fariborz, Mansouri, Borhan, Mansournia, Mohammad Ali, Mapoma, Chabila Christopher, Martini, Santi, Martins-Melo, Francisco Rogerlândio, Masaka, Anthony, Mastrogiacomo, Claudia I, Mathur, Manu Raj, May, Erin A, McAlinden, Colm, McGrath, John J, McKee, Martin, Mehndiratta, Man Mohan, Mehri, Fereshteh, Mehta, Kala M, Meitei, Wahengbam Bigyananda, Memiah, Peter T N, Mendoza, Walter, Menezes, Ritesh G, Mengesha, Endalkachew Worku, Mensah, George A, Meretoja, Atte, Meretoja, Tuomo J, Mestrovic, Tomislav, Michalek, Irmina Maria, Mihretie, Kebadnew Mulatu, Miller, Ted R, Mills, Edward J, Milne, George J, Mirrakhimov, Erkin M, Mirzaei, Hamed, Mirzaei, Maryam, Mirzaei-Alavijeh, Mehdi, 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Javad, York, Hunter W, Younis, Mustafa Z, Younker, Theodore Patrick, Yousefi, Zabihollah, Yousefinezhadi, Taraneh, Yousuf, Abdilahi Yousuf, Yusefzadeh, Hasan, Zahirian Moghadam, Telma, Zakzuk, Josefina, Zaman, Sojib Bin, Zamani, Mohammad, Zamanian, Maryam, Zandian, Hamed, Zhang, Zhi-Jiang, Zheng, Peng, Zhou, Maigeng, Ziapour, Arash, and Murray, Christopher J L
Abstract: Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 produced updated and comprehensive demographic assessments of the key indicators of fertility, mortality, migration, and population for 204 countries and territories and selected subnational locations from 1950 to 2019.
Published: 2020
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11. Five insights from the Global Burden of Disease Study 2019

Author: Murray, Christopher J L, Abbafati, Cristiana, Abbas, Kaja M, Abbasi, Mohammad, Abbasi-Kangevari, Mohsen, Abd-Allah, Foad, Abdollahi, Mohammad, Abedi, Parisa, Abedi, Aidin, Abolhassani, Hassan, Aboyans, Victor, Abreu, Lucas Guimarães, Abrigo, Michael R M, Abu-Gharbieh, Eman, Abu Haimed, Abdulaziz Khalid, Abushouk, Abdelrahman I, Acebedo, Alyssa, Ackerman, Ilana N, Adabi, Maryam, Adamu, Abdu A, Adebayo, Oladimeji M, Adelson, Jaimie D, Adetokunboh, Olatunji O, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agrawal, Anurag, Ahmad, Tauseef, Ahmadi, Keivan, Ahmadi, Mehdi, Ahmed, Muktar Beshir, Aji, Budi, Akinyemiju, Tomi, Akombi, Blessing, Alahdab, Fares, Alam, Khurshid, Alanezi, Fahad Mashhour, Alanzi, Turki M, Albertson, Samuel B, Alemu, Biresaw Wassihun, Alemu, Yihun Mulugeta, Alhabib, Khalid F, Ali, Muhammad, Ali, Saqib, Alicandro, Gianfranco, Alipour, Vahid, Alizade, Hesam, Aljunid, Syed Mohamed, Alla, François, Allebeck, Peter, Almadi, Majid Abdulrahman Hamad, 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Abstract: The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a rules-based synthesis of the available evidence on levels and trends in health outcomes, a diverse set of risk factors, and health system responses. GBD 2019 covered 204 countries and territories, as well as first administrative level disaggregations for 22 countries, from 1990 to 2019. Because GBD is highly standardised and comprehensive, spanning both fatal and non-fatal outcomes, and uses a mutually exclusive and collectively exhaustive list of hierarchical disease and injury causes, the study provides a powerful basis for detailed and broad insights on global health trends and emerging challenges. GBD 2019 incorporates data from 281 586 sources and provides more than 3·5 billion estimates of health outcome and health system measures of interest for global, national, and subnational policy dialogue. All GBD estimatesare publicly available and adhere to the Guidelineson Accurate and Transparent Health Estimate Reporting. From this vast amount of information, five key insights that are important for health, social, and economic development strategies have been distilled. These insights are subject to the many limitations outlined in each of the component GBD capstone papers.
Published: 2020
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12. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Author: Murray, Christopher J L, Aravkin, Aleksandr Y, Zheng, Peng, Abbafati, Cristiana, Abbas, Kaja M, Abbasi-Kangevari, Mohsen, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahi, Mohammad, Abdollahpour, Ibrahim, Abegaz, Kedir Hussein, Abolhassani, Hassan, Aboyans, Victor, Abreu, Lucas Guimarães, Abrigo, Michael R M, Abualhasan, Ahmed, Abu-Raddad, Laith Jamal, Abushouk, Abdelrahman I, Adabi, Maryam, Adekanmbi, Victor, Adeoye, Abiodun Moshood, Adetokunboh, Olatunji O, Adham, Davoud, Advani, Shailesh M, Agarwal, Gina, Aghamir, Seyed Mohammad Kazem, Agrawal, Anurag, Ahmad, Tauseef, Ahmadi, Keivan, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Akalu, Temesgen Yihunie, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akombi, Blessing, Akunna, Chisom Joyqueenet, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Samiah, Alam, Tahiya, Alanezi, Fahad Mashhour, Alanzi, Turki M, Alemu, Biresaw wassihun, Alhabib, Khalid F, Ali, Muhammad, Ali, Saqib, Alicandro, Gianfranco, Alinia, Cyrus, Alipour, 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Abstract: Rigorous analysis of levels and trends in exposure to leading risk factors and quantification of their effect on human health are important to identify where public health is making progress and in which cases current efforts are inadequate. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a standardised and comprehensive assessment of the magnitude of risk factor exposure, relative risk, and attributable burden of disease.
Published: 2020
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13. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Author: Vos, Theo, Lim, Stephen S, Abbafati, Cristiana, Abbas, Kaja M, Abbasi, Mohammad, Abbasifard, Mitra, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd-Allah, Foad, Abdelalim, Ahmed, Abdollahi, Mohammad, Abdollahpour, Ibrahim, Abolhassani, Hassan, Aboyans, Victor, Abrams, Elissa M, Abreu, Lucas Guimarães, Abrigo, Michael R M, Abu-Raddad, Laith Jamal, Abushouk, Abdelrahman I, Acebedo, Alyssa, Ackerman, Ilana N, Adabi, Maryam, Adamu, Abdu A, Adebayo, Oladimeji M, Adekanmbi, Victor, Adelson, Jaimie D, Adetokunboh, Olatunji O, Adham, Davoud, Afshari, Mahdi, Afshin, Ashkan, Agardh, Emilie E, Agarwal, Gina, Agesa, Kareha M, Aghaali, Mohammad, Aghamir, Seyed Mohammad Kazem, Agrawal, Anurag, Ahmad, Tauseef, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmadpour, Ehsan, Akalu, Temesgen Yihunie, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akombi, Blessing, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alam, Samiah, Alam, Tahiya, Alanzi, Turki M, Albertson, Samuel B, Alcalde-Rabanal, Jacqueline Elizabeth, Alema, Niguse Meles, Ali, Muhammad, Ali, Saqib, Alicandro, Gianfranco, Alijanzadeh, Mehran, Alinia, Cyrus, Alipour, Vahid, Aljunid, Syed Mohamed, Alla, François, Allebeck, Peter, Almasi-Hashiani, Amir, Alonso, Jordi, Al-Raddadi, Rajaa M, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Alvis-Zakzuk, Nelson J, Amini, Saeed, Amini-Rarani, Mostafa, Aminorroaya, Arya, Amiri, Fatemeh, Amit, Arianna Maever L, Amugsi, Dickson A, Amul, Gianna Gayle Herrera, Anderlini, Deanna, Andrei, Catalina Liliana, Andrei, Tudorel, Anjomshoa, Mina, Ansari, Fereshteh, Ansari, Iman, Ansari-Moghaddam, Alireza, Antonio, Carl Abelardo T, Antony, Catherine M, Antriyandarti, Ernoiz, Anvari, Davood, Anwer, Razique, Arabloo, Jalal, Arab-Zozani, Morteza, Aravkin, Aleksandr Y, Ariani, Filippo, Ärnlöv, Johan, Aryal, Krishna K, Arzani, Afsaneh, Asadi-Aliabadi, Mehran, Asadi-Pooya, Ali A, Asghari, Babak, Ashbaugh, Charlie, Atnafu, Desta Debalkie, Atre, Sachin R, Ausloos, Floriane, Ausloos, Marcel, Ayala 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Abstract: In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries.
Published: 2020
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14. Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Author: Lozano, Rafael, Fullman, Nancy, Mumford, John Everett, Knight, Megan, Barthelemy, Celine M, Abbafati, Cristiana, Abbastabar, Hedayat, Abd-Allah, Foad, Abdollahi, Mohammad, Abedi, Aidin, Abolhassani, Hassan, Abosetugn, Akine Eshete, Abreu, Lucas Guimarães, Abrigo, Michael R M, Abu Haimed, Abdulaziz Khalid, Abushouk, Abdelrahman I, Adabi, Maryam, Adebayo, Oladimeji M, Adekanmbi, Victor, Adelson, Jaimie, Adetokunboh, Olatunji O, Adham, Davoud, Advani, Shailesh M, Afshin, Ashkan, Agarwal, Gina, Agasthi, Pradyumna, Aghamir, Seyed Mohammad Kazem, Agrawal, Anurag, Ahmad, Tauseef, Akinyemi, Rufus Olusola, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Albertson, Samuel B, Alemu, Yihun Mulugeta, Alhassan, Robert Kaba, Ali, Muhammad, Ali, Saqib, Alipour, Vahid, Aljunid, Syed Mohamed, Alla, François, Almadi, Majid Abdulrahman Hamad, Almasi, Ali, Almasi-Hashiani, Amir, Almasri, Nihad A, Al-Mekhlafi, Hesham M, Almulhim, Abdulaziz M, Alonso, Jordi, Al-Raddadi, Rajaa M, Altirkawi, Khalid A, 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Abstract: Achieving universal health coverage (UHC) involves all people receiving the health services they need, of high quality, without experiencing financial hardship. Making progress towards UHC is a policy priority for both countries and global institutions, as highlighted by the agenda of the UN Sustainable Development Goals (SDGs) and WHO's Thirteenth General Programme of Work (GPW13). Measuring effective coverage at the health-system level is important for understanding whether health services are aligned with countries' health profiles and are of sufficient quality to produce health gains for populations of all ages.
Published: 2020
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15. Systemic inflammation is associated with depressive symptoms differentially by sex and race: a longitudinal study of urban adults

Author: Beydoun, May A., Obhi, Hardeep K., Weiss, Jordan, Canas, Jose A., Beydoun, Hind A., Evans, Michele K., and Zonderman, Alan B.
Abstract: Systemic inflammation may influence trajectories of depressive symptoms over time, perhaps differentially by sex and race. Inflammatory markers and the Center for Epidemiologic Studies-Depression scale [total score: CES-Dtotaland four distinctive domains: somatic complaints, depressed affect, positive affect and interpersonal problems] were examined among African-American (AA) and White urban adults participating in the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study [2004–2013, Agebase:30–64 y, mean ± SD follow-up time: 4.64 ± 0.93 y, N= 150 (with cytokine data) to N= 1,767 (with other inflammatory markers)]. Findings suggest that serum concentrations of high-sensitivity C-reactive protein (hsCRP), z-inflammation composite score [ICS, combining elevated hsCRP and ESR with low serum albumin and iron], and serum interleukin (IL) 1β were positively associated with ΔCES-Dtotal(Δ: annual rate of increase) among Whites only. IL-12 was directly related to ΔCES-Dtotalamong men and AA. The race-specific associations of hsCRP, ICS, IL-1β and the sex-specific association of IL-12 with ΔCES-Dtotalwere replicated for the “depressed affect” domain. Similarly, among men, lower serum albumin and higher ICS were linked with higher baseline “somatic complaints”. IL-10 among AA and IL-12 among men were inversely related to Δ“positive affect”, while “interpersonal problems” were cross-sectionally associated with IL-6 among AA and IL-10 among Whites. Finally, baseline ICS was positively associated with incident “elevated depressive symptoms” (EDS: CES-Dtotal≥ 16) among AA (HR = 1.28, 95% CI: 1.04–1.56, P= 0.017). Overall, systemic inflammation was directly linked to increased depressive symptoms over time and at baseline, differentially across sex and race groups. More longitudinal research is needed to replicate our findings.
Published: 2020
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16. Periodontal disease, sleep duration, and white blood cell markers in the 2009 to 2014 National Health and Nutrition Examination Surveys

Author: Beydoun, Hind A., Hossain, Sharmin, Beydoun, May A., Weiss, Jordan, Zonderman, Alan B., and Eid, Shaker M.
Abstract: Elevated levels of inflammatory biomarkers are consistently associated with chronic conditions, for which periodontitis and sleep are established risk factors. We examined the relationships between periodontitis, hours of sleep and white blood cell (WBC) markers among a nationally representative sample of US adults. Cross‐sectional study using existing demographic, examination, laboratory and questionnaire data on 11,813 participants (5,814 men and 5,999 women, mean age ± SE; range: 52.74 ± 0.24; 30 to 80 years) from the 2009 to 2014 National Health and Nutrition Examination Surveys. Unadjusted, sex‐ and age‐adjusted, as well as fully adjusted linear and logistic regression models were conducted in addition to generalized structural equations models, while considering sampling design complexity. β, odds ratios with their 95% confidence intervals, indirect effects and mediation proportions were estimated. The weighted mean WBC count was 7,130 cells/µL, with the WBC 5‐part differential estimated in terms of percentages of lymphocytes (29.50%), monocytes (7.99%), neutrophils (59.03%), eosinophils (2.84%), and basophils (71.88%). Furthermore, 36.2% of participants reported <7 hours of sleep and 49.8% had periodontitis. In fully adjusted models controlling for sociodemographic, lifestyle, and health characteristics, neither WBC markers nor periodontitis were related to hours of sleep. By contrast, periodontitis was directly related to WBC count and %neutrophils and inversely related to %lymphocytes, especially among men. However, the relationship of periodontitis with %neutrophils and %lymphocytes may be modified by hours of sleep, as it was specific to individuals reporting ≥7 hours of sleep. Periodontitis may be directly related to WBC count and %neutrophils and inversely related to %lymphocytes, especially among men and individuals reporting ≥7 hours of sleep, with implications for primary and secondary prevention.
Published: 2020
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17. Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017

Author: Lozano, Rafael, Fullman, Nancy, Abate, Degu, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abebe, Nebiyu Dereje, Abebe, Zegeye, Abejie, Ayenew Negesse, Abera, Semaw F, Abil, Olifan Zewdie, Aboyans, Victor, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen Me, Abyu, Gebre Y, Accrombessi, Manfred Mario Kokou, Acharya, Dilaram, Acharya, Pawan, Adamu, Abdu A, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshari, Mahdi, Afshin, Ashkan, Agarwal, Gina, Aghayan, Sargis Aghasi, Agius, Dominic, Agrawal, Anurag, Agrawal, Sutapa, Ahmadi, Alireza, Ahmadi, Mehdi, Ahmadieh, Hamid, Ahmed, Muktar Beshir, Ahmed, Sayem, Akalu, Temesgen Yihunie, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Tahiya, Albujeer, Ammar, Alebel, Animut, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Alhabib, Samia, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine A, Almasi, Ali, Al-Maskari, Fatma, Al-Mekhlafi, Hesham M, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amenu, Kebede, Amini, Erfan, Ammar, Walid, Anber, Nahla Hamed, Anderson, Jason A, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Ansari, Hossein, Ansariadi, Ansariadi, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Anwari, Palwasha, Appiah, Lambert Tetteh, Aremu, Olatunde, Areri, Habtamu Abera, Ärnlöv, Johan, Arora, Monika, Aryal, Krishna K, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Asghar, Rana Jawad, Assadi, Reza, Ataro, Zerihun, Atique, Suleman, Atre, Sachin R, Atteraya, Madhu Sudhan, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide F G A, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Ayele, Henok Tadesse, Ayele, Yohanes, Ayer, Rakesh, Azarpazhooh, Mahmoud Reza, Azzopardi, Peter S, Azzopardi-Muscat, Natasha, Babalola, Tesleem Kayode, Babazadeh, Arefeh, Badali, Hamid, Badawi, Alaa, Balakrishnan, Kalpana, Bali, Ayele Geleto, Banach, Maciej, Banerjee, Amitava, Banoub, Joseph Adel Mattar, Banstola, Amrit, Barac, Aleksandra, Barboza, Miguel A, Barker-Collo, Suzanne Lyn, Bärnighausen, Till Winfried, Barrero, Lope H, Barthelemy, Celine M, Bassat, Quique, Basu, Arindam, Basu, Sanjay, Battista, Robert J, Baune, Bernhard T, Baynes, Habtamu Wondifraw, Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Bekele, Bayu Begashaw, Belachew, Abate Bekele, Belay, Aregawi Gebreyesus, Belay, Saba Abraham, Belay, Yihalem Abebe, Bell, Michelle L, Bello, Aminu K, Bennett, Derrick A, Bensenor, Isabela M, Benzian, Habib, Berhane, Adugnaw, Berhe, Abadi Kidanemariam, Berman, Adam E, Bernabe, Eduardo, Bernstein, Robert S, Bertolacci, Gregory J, Beuran, Mircea, Beyranvand, Tina, Bhala, Neeraj, Bhalla, Ashish, Bhansali, Anil, Bhattarai, Suraj, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A, Biadgo, Belete, Biehl, Molly H, Bijani, Ali, Bikbov, Boris, Bililign, Nigus, Bin Sayeed, Muhammad Shahdaat, Birlik, Sait Mentes, Birungi, Charles, Bisanzio, Donal, Biswas, Tuhin, Bitew, Helen, Bizuneh, Hailemichael, Bjertness, Espen, Bobasa, Eshetu Mulisa, Boufous, Soufiane, Bourne, Rupert, Bozorgmehr, Kayvan, Bragazzi, Nicola Luigi, Brainin, Michael, Brant, Luisa C, Brauer, Michael, Brazinova, Alexandra, Breitborde, Nicholas J K, Briant, Paul Svitil, Britton, Gabrielle, Brugha, Traolach, Bukhman, Gene, Busse, Reinhard, Butt, Zahid 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Abstract: Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of “leaving no one behind”, it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990–2017, projected indicators to 2030, and analysed global attainment.
Published: 2018
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18. Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

Author: Dicker, Daniel, Nguyen, Grant, Abate, Degu, Abate, Kalkidan Hassen, Abay, Solomon M, Abbafati, Cristiana, Abbasi, Nooshin, Abbastabar, Hedayat, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abdel-Rahman, Omar, Abdi, Alireza, Abdollahpour, Ibrahim, Abdulkader, Rizwan Suliankatchi, Abdurahman, Ahmed Abdulahi, Abebe, Haftom Temesgen, Abebe, Molla, Abebe, Zegeye, Abebo, Teshome Abuka, Aboyans, Victor, Abraha, Haftom Niguse, Abrham, Aklilu Roba, Abu-Raddad, Laith Jamal, Abu-Rmeileh, Niveen ME, Accrombessi, Manfred Mario Kokou, Acharya, Pawan, Adebayo, Oladimeji M, Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adekanmbi, Victor, Adetokunboh, Olatunji O, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Adib, Mina G, Adou, Arsène Kouablan, Adsuar, Jose C, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Aggarwal, Rakesh, Aghayan, Sargis Aghasi, Agrawal, Sutapa, Agrawal, Anurag, Ahmadi, Mehdi, Ahmadi, Alireza, Ahmadieh, Hamid, Ahmed, Mohamed Lemine Cheikh brahim, Ahmed, Sayem, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibtihel, Aichour, Miloud Taki Eddine, Akanda, Ali S, Akbari, Mohammad Esmaeil, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi, Akseer, Nadia, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alebel, Animut, Aleman, Alicia V, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Raghib, Alijanzadeh, Mehran, Alizadeh-Navaei, Reza, Aljunid, Syed Mohamed, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine A, Alonso, Jordi, Al-Raddadi, Rajaa M, Alsharif, Ubai, Altirkawi, Khalid, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla Hamed, Andrei, Catalina Liliana, Androudi, Sofia, Animut, Megbaru Debalkie, Anjomshoa, Mina, Anlay, Degefaye Zelalem, Ansari, Hossein, Ansariadi, Ansariadi, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T, Appiah, Seth Christopher Yaw, Aremu, Olatunde, Areri, Habtamu Abera, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna K, Asadi-Lari, Mohsen, Asayesh, Hamid, Asfaw, Ephrem Tsegay, Asgedom, Solomon Weldegebreal, Assadi, Reza, Ataro, Zerihun, Atey, Tesfay Mehari Mehari, Athari, Seyyed Shamsadin, Atique, Suleman, Atre, Sachin R, Atteraya, Madhu Sudhan, Attia, Engi F, Ausloos, Marcel, Avila-Burgos, Leticia, Avokpaho, Euripide F G A, Awasthi, Ashish, Awuah, Baffour, Ayala Quintanilla, Beatriz Paulina, Ayele, Henok Tadesse, Ayele, Yohanes, Ayer, Rakesh, Ayuk, Tambe B, Azzopardi, Peter S, Azzopardi-Muscat, Natasha, Badali, Hamid, Badawi, Alaa, Balakrishnan, Kalpana, Bali, Ayele Geleto, Banach, Maciej, Banstola, Amrit, Barac, Aleksandra, Barboza, Miguel A, Barquera, Simon, Barrero, Lope H, Basaleem, Huda, Bassat, Quique, Basu, Arindam, Basu, Sanjay, Baune, Bernhard T, Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Behzadifar, Masoud, Behzadifar, Meysam, Béjot, Yannick, Bekele, Bayu Begashaw, Belachew, Abate Bekele, Belay, Aregawi Gebreyesus, Belay, Ezra, Belay, Saba Abraham, Belay, Yihalem Abebe, Bell, Michelle L, 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Abstract: Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally.
Published: 2018
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19. Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016

Author: Fullman, Nancy, Yearwood, Jamal, Abay, Solomon M, Abbafati, Cristiana, Abd-Allah, Foad, Abdela, Jemal, Abdelalim, Ahmed, Abebe, Zegeye, Abebo, Teshome Abuka, Aboyans, Victor, Abraha, Haftom Niguse, Abreu, Daisy M X, Abu-Raddad, Laith J, Adane, Akilew Awoke, Adedoyin, Rufus Adesoji, Adetokunboh, Olatunji, Adhikari, Tara Ballav, Afarideh, Mohsen, Afshin, Ashkan, Agarwal, Gina, Agius, Dominic, Agrawal, Anurag, Agrawal, Sutapa, Ahmad Kiadaliri, Aliasghar, Aichour, Miloud Taki Eddine, Akibu, Mohammed, Akinyemi, Rufus Olusola, Akinyemiju, Tomi F, Akseer, Nadia, Al Lami, Faris Hasan, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Tahiya, Alasfoor, Deena, Albittar, Mohammed I, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Ali, Syed Danish, Alijanzadeh, Mehran, Aljunid, Syed M, Alkerwi, Ala'a, Alla, François, Allebeck, Peter, Allen, Christine, Alomari, Mahmoud A, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A, Alvis-Guzman, Nelson, Amare, Azmeraw T, Amenu, Kebede, Ammar, Walid, 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Ali, Sajadi, Haniye Sadat, Salama, Joseph, Salamati, Payman, Saldanha, Raphael de Freitas, Salimzadeh, Hamideh, Salomon, Joshua A, Samy, Abdallah M, Sanabria, Juan Ramon, Sancheti, Parag K, Sanchez-Niño, Maria Dolores, Santomauro, Damian, Santos, Itamar S, Santric Milicevic, Milena M, Sarker, Abdur Razzaque, Sarrafzadegan, Nizal, Sartorius, Benn, Satpathy, Maheswar, Savic, Miloje, Sawhney, Monika, Saxena, Sonia, Saylan, Mete I, Schaeffner, Elke, Schmidhuber, Josef, Schmidt, Maria Inês, Schneider, Ione J C, Schumacher, Austin E, Schutte, Aletta E, Schwebel, David C, Schwendicke, Falk, Sekerija, Mario, Sepanlou, Sadaf G, Servan-Mori, Edson E, Shafieesabet, Azadeh, Shaikh, Masood Ali, Shakh-Nazarova, Marina, Shams-Beyranvand, Mehran, Sharafi, Heidar, Sharif-Alhoseini, Mahdi, Shariful Islam, Sheikh Mohammed, Sharma, Meenakshi, Sharma, Rajesh, She, Jun, Sheikh, Aziz, Shfare, Mebrahtu Teweldemedhin, Shi, Peilin, Shields, Chloe, Shigematsu, Mika, Shinohara, Yukito, Shiri, Rahman, Shirkoohi, Reza, Shiue, Ivy, Shrime, Mark G, Shukla, Sharvari Rahul, Siabani, Soraya, Sigfusdottir, Inga Dora, Silberberg, Donald H, Silva, Diego Augusto Santos, Silva, João Pedro, Silveira, Dayane Gabriele Alves, Singh, Jasvinder A, Singh, Lavanya, Singh, Narinder Pal, Singh, Virendra, Sinha, Dhirendra Narain, Sinke, Abiy Hiruye, Sisay, Mekonnen, Skirbekk, Vegard, Sliwa, Karen, Smith, Alison, Soares Filho, Adauto Martins, Sobaih, Badr H A, Somai, Melek, Soneji, Samir, Soofi, Moslem, Sorensen, Reed J D, Soriano, Joan B, Soyiri, Ireneous N, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Srinivasan, Vinay, Stanaway, Jeffrey D, Stathopoulou, Vasiliki, Steel, Nicholas, Stein, Dan J, Stokes, Mark Andrew, Sturua, Lela, Sufiyan, Muawiyyah Babale, Suliankatchi, Rizwan Abdulkader, Sunguya, Bruno F, Sur, Patrick J, Sykes, Bryan L, Sylaja, PN, Tabarés-Seisdedos, Rafael, Tadakamadla, Santosh Kumar, Tadesse, Andualem Henok, Taffere, Getachew Redae, Tandon, Nikhil, Tariku, Amare Tariku, Taveira, Nuno, Tehrani-Banihashemi, Arash, Temam Shifa, Girma, Temsah, Mohamad-Hani, Terkawi, Abdullah Sulieman, Tesema, Azeb Gebresilassie, Tesfaye, Dawit Jember, Tessema, Belay, Thakur, JS, Thomas, Nihal, Thompson, Matthew J, Tillmann, Taavi, To, Quyen G, Tobe-Gai, Ruoyan, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Fotis, Torre, Anna, Tortajada, Miguel, Tran, Bach Xuan, Tran, Khanh Bao, Tripathi, Avnish, Tripathy, Srikanth Prasad, Troeger, Christopher, Truelsen, Thomas, Tsoi, Derrick, Tudor Car, Lorainne, Tuem, Kald Beshir, Tyrovolas, Stefanos, Uchendu, Uche S, Ukwaja, Kingsley N, Ullah, Irfan, Updike, Rachel, Uthman, Olalekan A, Uzochukwu, Benjamin S Chudi, Valdez, Pascual Rubén, van Boven, Job F M, Varughese, Santosh, Vasankari, Tommi, Violante, Francesco S, Vladimirov, Sergey K, Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Vos, Theo, Wagnew, Fasil, Waheed, Yasir, Wallin, Mitchell T, Walson, Judd L, Wang, Yafeng, Wang, Yuan-Pang, Wassie, Molla Mesele, Weaver, Marcia R, Weiderpass, Elisabete, Weintraub, Robert G, Weiss, Jordan, Weldegwergs, Kidu Gidey, Werdecker, Andrea, West, T Eoin, Westerman, Ronny, White, Richard G, Whiteford, Harvey A, Widecka, Justyna, Winkler, Andrea Sylvia, Wiysonge, Charles Shey, Wolfe, Charles DA, Wondimkun, Yohanes Ayele, Workicho, Abdulhalik, Wyper, Grant M A, Xavier, Denis, Xu, Gelin, Yan, Lijing L, Yano, Yuichiro, Yaseri, Mehdi, Yimer, Nigus Bililign, Yin, Peng, Yip, Paul, Yirsaw, Biruck Desalegn, Yonemoto, Naohiro, Yonga, Gerald, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z, Yu, Chuanhua, Zadnik, Vesna, Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zaman, Sojib Bin, Zamani, Mohammad, Zenebe, Zerihun Menlkalew, Zhou, Maigeng, Zhu, Jun, Zimsen, Stephanie R M, Zipkin, Ben, Zodpey, Sanjay, Zuhlke, Liesl Joanna, Murray, Christopher J L, and Lozano, Rafael
Abstract: A key component of achieving universal health coverage is ensuring that all populations have access to quality health care. Examining where gains have occurred or progress has faltered across and within countries is crucial to guiding decisions and strategies for future improvement. We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) to assess personal health-care access and quality with the Healthcare Access and Quality (HAQ) Index for 195 countries and territories, as well as subnational locations in seven countries, from 1990 to 2016.
Published: 2018
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20. Contribution of socioeconomic, lifestyle, and medical risk factors to disparities in dementia and mortality

Author: Weiss, Jordan
Abstract: Extensive literature in the United States documents racial/ethnic and gender disparities in the incidence and prevalence of dementia yet few studies have examined how race/ethnicity and gender intersect to shape inequalities in the risk of dementia. Moreover, few studies have examined heterogeneity in the contribution of known risk factors to dementia across these demographic strata while properly accounting for the semi-competing risk of death. I calculated the proportion of dementia cases attributable to socioeconomic, lifestyle, and medical risk factors across demographic subgroups using nationally representative data from the US-based Health and Retirement Study for the years 2000–2016 and a multistate framework that accounts for the semi-competing risk of death. Socioeconomic resources contributed to the largest number of dementia cases but the magnitude of this contribution varied across strata defined by race/ethnicity and gender. The greatest potential for dementia prevention was observed among non-Hispanic black and Hispanic men and women, supporting an intersectionality approach, and underscoring the need for culturally sensitive intervention and public health initiatives to address the growing burden of dementia. Taken together, work demonstrates the potential benefit of taking an intersectional approach to understanding disparities in dementia.
Published: 2021
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21. Book reviews

Author: Brooks, Frank P., Deren, Julius J., and Weiss, Jordan B.
Published: 1973
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21 results on '"Weiss, Jordan"'

1. Mediating and moderating effects of plasma proteomic biomarkers on the association between poor oral health problems and incident dementia: The UK Biobank study

2. Uncovering mediational pathways behind racial and socioeconomic disparities in brain volumes: insights from the UK Biobank study

3. Mediating and moderating effects of plasma proteomic biomarkers on the association between poor oral health problems and brain white matter microstructural integrity: the UK Biobank study

4. Pathways explaining racial/ethnic and socio-economic disparities in brain white matter integrity outcomes in the UK Biobank study

5. Association of Serum Antioxidant Vitamins and Carotenoids With Incident Alzheimer Disease and All-Cause Dementia Among US Adults

6. A new standard for corporate tax shelters.

7. Helicobacter pylori, periodontal pathogens, and their interactive association with incident all-cause and Alzheimer’s disease dementia in a large national survey

8. Burden of Neurological Disorders Across the US From 1990-2017: A Global Burden of Disease Study

9. Estimates of the Association of Dementia With US Mortality Levels Using Linked Survey and Mortality Records

10. Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019

11. Five insights from the Global Burden of Disease Study 2019

12. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

13. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

14. Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

15. Systemic inflammation is associated with depressive symptoms differentially by sex and race: a longitudinal study of urban adults

16. Periodontal disease, sleep duration, and white blood cell markers in the 2009 to 2014 National Health and Nutrition Examination Surveys

17. Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017

18. Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

19. Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016

20. Contribution of socioeconomic, lifestyle, and medical risk factors to disparities in dementia and mortality

21. Book reviews

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