1
|
Frank TD, Carter A, Jahagirdar D, Biehl MH, Douwes-Schultz D, Larson SL, Arora M, Dwyer-Lindgren L, Steuben KM, Abbastabar H, Abu-Raddad LJ, Abyu DM, Adabi M, Adebayo OM, Adekanmbi V, Adetokunboh OO, Ahmadi A, Ahmadi K, Ahmadian E, Ahmadpour E, Ahmed MB, Akal CG, Alahdab F, Alam N, Albertson SB, Alemnew BTT, Alene KA, Alipour V, Alvis-Guzman N, Amini S, Anbari Z, Anber NH, Anjomshoa M, Antonio CAT, Arabloo J, Aremu O, Areri HA, Asfaw ET, Ashagre AF, Asmelash D, Asrat AA, Avokpaho EFGA, Awasthi A, Awoke N, Ayanore MA, Azari S, Badawi A, Bagherzadeh M, Banach M, Barac A, Bärnighausen TW, Basu S, Bedi N, Behzadifar M, Bekele BB, Belay SA, Belay YB, Belayneh YM, Berhane A, Bhat AG, Bhattacharyya K, Biadgo B, Bijani A, Bin Sayeed MS, Bitew H, Blinov A, Bogale KA, Bojia HA, Burugina Nagaraja SBN, Butt ZA, Cahuana-Hurtado L, Campuzano Rincon JC, Carvalho F, Chattu VK, Christopher DJ, Chu DT, Crider R, Dahiru T, Dandona L, Dandona R, Daryani A, das Neves J, De Neve JW, Degenhardt L, Demeke FM, Demis AB, Demissie DB, Demoz GT, Deribe K, Des Jarlais D, Dhungana GP, Diaz D, Djalalinia S, Do HP, Doan LP, Duber H, Dubey M, Dubljanin E, Duken EE, Duko Adema B, Effiong A, Eftekhari A, El Sayed Zaki M, El-Jaafary SI, El-Khatib Z, Elsharkawy A, Endries AY, Eskandarieh S, Eyawo O, Farzadfar F, Fatima B, Fentahun N, Fernandes E, Filip I, Fischer F, Folayan MO, Foroutan M, Fukumoto T, Fullman N, Garcia-Basteiro AL, Gayesa RT, Gebremedhin KB, Gebremeskel GGG, Gebreyohannes KK, Gedefaw GA, Gelaw BK, Gesesew HA, Geta B, Gezae KE, Ghadiri K, Ghashghaee A, Ginindza TTG, Gugnani HC, Guimarães RA, Haile MT, Hailu GB, Haj-Mirzaian A, Haj-Mirzaian A, Hamidi S, Handanagic S, Handiso DW, Hanfore LK, Hasanzadeh A, Hassankhani H, Hassen HY, Hay SI, Henok A, Hoang CL, Hosgood HD, Hosseinzadeh M, Hsairi M, Ibitoye SE, Idrisov B, Ikuta KS, Ilesanmi OS, Irvani SSN, Iwu CJ, Jacobsen KH, James SL, Jenabi E, Jha RP, Jonas JB, Jorjoran Shushtari Z, Kabir A, Kabir Z, Kadel R, Kasaeian A, Kassa B, Kassa GM, Kassa TD, Kayode GA, Kebede MM, Kefale AT, Kengne AP, Khader YS, Khafaie MA, Khalid N, Khan EA, Khan G, Khan J, Khang YH, Khatab K, Khazaei S, Khoja AT, Kiadaliri AA, Kim YJ, Kisa A, Kisa S, Kochhar S, Komaki H, Koul PA, Koyanagi A, Kuate Defo B, Kumar GA, Kumar M, Kuupiel D, Lal DK, Lee JJH, Lenjebo TL, Leshargie CT, Macarayan ERK, Maddison ER, Magdy Abd El Razek H, Magis-Rodriguez C, Mahasha PW, Majdan M, Majeed A, Malekzadeh R, Manafi N, Mapoma CC, Martins-Melo FR, Masaka A, Mayenga ENL, Mehta V, Meles GG, Meles HG, Melese A, Melku M, Memiah PTN, Memish ZA, Mena AT, Mendoza W, Mengistu DT, Mengistu G, Meretoja TJ, Mestrovic T, Miller TR, Moazen B, Mohajer B, Mohamadi-Bolbanabad A, Mohammad KA, Mohammad Y, Mohammad Darwesh A, Mohammad Gholi Mezerji N, Mohammadi M, Mohammadibakhsh R, Mohammadoo-Khorasani M, Mohammed JA, Mohammed S, Mohebi F, Mokdad AH, Moodley Y, Moossavi M, Moradi G, Moradi-Lakeh M, Moschos MM, Mossie TB, Mousavi SM, Muchie KF, Muluneh AG, Muriithi MK, Mustafa G, Muthupandian S, Nagarajan AJ, Naik G, Najafi F, Nazari J, Ndwandwe DE, Nguyen CT, Nguyen HLT, Nguyen SH, Nguyen TH, Ningrum DNA, Nixon MR, Nnaji CA, Noroozi M, Noubiap JJ, Nourollahpour Shiadeh M, Obsa MS, Odame EA, Ofori-Asenso R, Ogbo FA, Okoro A, Oladimeji O, Olagunju AT, Olagunju TO, Olum S, Oppong Asante KOA, Oren E, Otstavnov SS, PA M, Padubidri JR, Pakhale S, Pakpour AH, Patel SK, Paulos K, Pepito VCF, Peprah EK, Piroozi B, Pourshams A, Qorbani M, Rabiee M, Rabiee N, Radfar A, Rafay A, Rafiei A, Rahim F, Rahimi-Movaghar A, Rahimi-Movaghar V, Rahman SU, Ranabhat CL, Rawaf S, Reis C, Renjith V, Reta MA, Rezai MS, Rios González CM, Roro EM, Rostami A, Rubino S, Saeedi Moghaddam S, Safari S, Sagar R, Sahraian MA, Salem MRR, Salimi Y, Salomon JA, Sambala EZ, Samy AM, Sartorius B, Satpathy M, Sawhney M, Sayyah M, Schutte AE, Sepanlou SG, Seyedmousavi S, Shabaninejad H, Shaheen AA, Shaikh MA, Shallo SA, Shamsizadeh M, Sharifi H, Shibuya K, Shin JI, Shirkoohi R, Silva DAS, Silveira DGA, Singh JA, Sisay MMM, Sisay M, Sisay S, Smith AE, Sokhan A, Somayaji R, Soshnikov S, Stein DJ, Sufiyan MB, Sunguya BF, Sykes BL, Tadesse BT, Tadesse DB, Tamirat KS, Taveira N, Tekelemedhin SW, Temesgen HD, Tesfay FH, Teshale MY, Thapa S, Tlaye KG, Topp SM, Tovani-Palone MR, Tran BX, Tran KB, Ullah I, Unnikrishnan B, Uthman OA, Veisani Y, Vladimirov SK, Wada FW, Waheed Y, Weldegwergs KG, Weldesamuel GTT, Westerman R, Wijeratne T, Wolde HF, Wondafrash DZ, Wonde TE, Wondmagegn BY, Yeshanew AG, Yilma MT, Yimer EM, Yonemoto N, Yotebieng M, Youm Y, Yu C, Zaidi Z, Zarghi A, Zenebe ZM, Zewale TA, Ziapour A, Zodpey S, Naghavi M, Vollset SE, Wang H, Lim SS, Kyu HH, Murray CJL. Global, regional, and national incidence, prevalence, and mortality of HIV, 1980-2017, and forecasts to 2030, for 195 countries and territories: a systematic analysis for the Global Burden of Diseases, Injuries, and Risk Factors Study 2017. Lancet HIV 2019; 6:e831-e859. [PMID: 31439534 PMCID: PMC6934077 DOI: 10.1016/s2352-3018(19)30196-1] [Citation(s) in RCA: 286] [Impact Index Per Article: 57.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 05/24/2019] [Accepted: 06/10/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND Understanding the patterns of HIV/AIDS epidemics is crucial to tracking and monitoring the progress of prevention and control efforts in countries. We provide a comprehensive assessment of the levels and trends of HIV/AIDS incidence, prevalence, mortality, and coverage of antiretroviral therapy (ART) for 1980-2017 and forecast these estimates to 2030 for 195 countries and territories. METHODS We determined a modelling strategy for each country on the basis of the availability and quality of data. For countries and territories with data from population-based seroprevalence surveys or antenatal care clinics, we estimated prevalence and incidence using an open-source version of the Estimation and Projection Package-a natural history model originally developed by the UNAIDS Reference Group on Estimates, Modelling, and Projections. For countries with cause-specific vital registration data, we corrected data for garbage coding (ie, deaths coded to an intermediate, immediate, or poorly defined cause) and HIV misclassification. We developed a process of cohort incidence bias adjustment to use information on survival and deaths recorded in vital registration to back-calculate HIV incidence. For countries without any representative data on HIV, we produced incidence estimates by pulling information from observed bias in the geographical region. We used a re-coded version of the Spectrum model (a cohort component model that uses rates of disease progression and HIV mortality on and off ART) to produce age-sex-specific incidence, prevalence, and mortality, and treatment coverage results for all countries, and forecast these measures to 2030 using Spectrum with inputs that were extended on the basis of past trends in treatment scale-up and new infections. FINDINGS Global HIV mortality peaked in 2006 with 1·95 million deaths (95% uncertainty interval 1·87-2·04) and has since decreased to 0·95 million deaths (0·91-1·01) in 2017. New cases of HIV globally peaked in 1999 (3·16 million, 2·79-3·67) and since then have gradually decreased to 1·94 million (1·63-2·29) in 2017. These trends, along with ART scale-up, have globally resulted in increased prevalence, with 36·8 million (34·8-39·2) people living with HIV in 2017. Prevalence of HIV was highest in southern sub-Saharan Africa in 2017, and countries in the region had ART coverage ranging from 65·7% in Lesotho to 85·7% in eSwatini. Our forecasts showed that 54 countries will meet the UNAIDS target of 81% ART coverage by 2020 and 12 countries are on track to meet 90% ART coverage by 2030. Forecasted results estimate that few countries will meet the UNAIDS 2020 and 2030 mortality and incidence targets. INTERPRETATION Despite progress in reducing HIV-related mortality over the past decade, slow decreases in incidence, combined with the current context of stagnated funding for related interventions, mean that many countries are not on track to reach the 2020 and 2030 global targets for reduction in incidence and mortality. With a growing population of people living with HIV, it will continue to be a major threat to public health for years to come. The pace of progress needs to be hastened by continuing to expand access to ART and increasing investments in proven HIV prevention initiatives that can be scaled up to have population-level impact. FUNDING Bill & Melinda Gates Foundation, National Institute of Mental Health of the US National Institutes of Health (NIH), and the National Institute on Aging of the NIH.
Collapse
|
3
|
Dufault R, Berg Z, Crider R, Schnoll R, Wetsit L, Bulls WT, Gilbert SG, Kingston HMS, Wolle MM, Rahman GMM, Laks DR. Blood inorganic mercury is directly associated with glucose levels in the human population and may be linked to processed food intake. ACTA ACUST UNITED AC 2015; 2. [PMID: 33889422 PMCID: PMC8059611 DOI: 10.15761/imm.1000134] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Background: The goals of the study were (1) to determine the impact of inorganic mercury exposure on glucose homeostasis; and (2) to evaluate the effectiveness of two community-based interventions in promoting dietary changes among American Indian college students to reduce risk factors for Type-2 Diabetes including fasting glucose, insulin, and mercury levels, weight, and body mass index. Methods: To accomplish goal one, the National Health and Nutrition Examination Survey (NHANES) dataset was analyzed using a previously published method to determine if there is a relationship between inorganic blood mercury and fasting glucose. To accomplish goal two, ten college students were recruited and randomly assigned to a group receiving the online macroepigenetics nutrition course and the support group for eliminating corn sweeteners. Participants in both groups were assessed for diet patterns, weight, body mass index (BMI), fasting glucose, insulin, and mercury levels. The interventions were implemented over a 10-week period. Results: Analysis of the NHANES data (n=16,232) determined a direct relationship between inorganic mercury in blood and fasting glucose levels (p<0.001). The participants who took the online macroepigenetics nutrition intervention course significantly improved their diets (p<0.01), and fasting blood glucose levels (p<0.01) while having lower levels of inorganic mercury in their blood compared to the subjects in the group who eliminated corn sweeteners from their diet and participated in the support group. The trend in lower blood inorganic mercury was strong with p=0.052. The participants in the support group who eliminated corn sweeteners from their diet achieved significant weight loss (p<0.01) and reduced their body mass index (p<0.01). Conclusion: Total blood mercury levels may be influenced by dietary intake of highly processed foods and lower inorganic mercury levels are associated with lower fasting glucose levels. Alternative community-based interventions emphasizing the role food ingredients and toxic substances play in gene modulation and the development of diseases can result in significant dietary improvements and reductions in risk factors associated with type-2 diabetes. A healthier diet can be promoted among community members using a novel online nutrition course. Consumption of corn sweeteners may be a risk factor in the development of obesity.
Collapse
Affiliation(s)
- Renee Dufault
- Food Ingredient and Health Research Institute, Naalehu, Hawaii, USA.,Fort Peck Community College, Poplar, Montana, USA
| | - Zara Berg
- Fort Peck Community College, Poplar, Montana, USA
| | - Raquel Crider
- Food Ingredient and Health Research Institute, Naalehu, Hawaii, USA.,Shepherd University, Shepherdstown, West Virginia, USA
| | - Roseanne Schnoll
- Food Ingredient and Health Research Institute, Naalehu, Hawaii, USA.,Department of Health and Nutrition Sciences, Brooklyn College of City University of New York, Brooklyn, New York, USA
| | - Larry Wetsit
- Fort Peck Community College, Poplar, Montana, USA
| | | | - Steven G Gilbert
- Food Ingredient and Health Research Institute, Naalehu, Hawaii, USA.,Institute of Neurotoxicology and Neurological Disorders, Seattle, Washington, USA
| | - H M Skip Kingston
- Department of Chemistry and Biochemistry, Duquesne University, Pittsburgh, Pennsylvania, USA
| | - Mesay Mulugeta Wolle
- Department of Chemistry and Biochemistry, Duquesne University, Pittsburgh, Pennsylvania, USA
| | - G M Mizanur Rahman
- Department of Chemistry and Biochemistry, Duquesne University, Pittsburgh, Pennsylvania, USA
| | - Dan R Laks
- Department of Biological Chemistry, University of California Los Angeles (UCLA), Los Angeles, California, USA
| |
Collapse
|