BMI and All-Cause Mortality in a Population-Based Cohort in Rural South Africa.
Journal
Obesity (Silver Spring, Md.)
ISSN: 1930-739X
Titre abrégé: Obesity (Silver Spring)
Pays: United States
ID NLM: 101264860
Informations de publication
Date de publication:
12 2020
12 2020
Historique:
received:
16
01
2020
revised:
19
07
2020
accepted:
26
07
2020
pubmed:
19
10
2020
medline:
10
4
2021
entrez:
18
10
2020
Statut:
ppublish
Résumé
This study evaluates the association between BMI and all-cause and cause-specific mortality in South Africa. Prospective, population-based observational cohort data from rural South Africa were analyzed. BMI was measured in 2010. Demographic characteristics were recorded and deaths were verified with verbal autopsy interview. The InterVA-5 tool was used to assign causes of death. HIV testing was conducted annually. Cox proportional hazards models were fit to estimate the effect of BMI on all-cause and cause-specific mortality, accounting for the competing risk of death from other causes. Models were adjusted for sociodemographic characteristics and HIV status, and inverse probability weighting for survey nonparticipation was used. The cohort consisted of 9,728 individuals. In adjusted models, those with BMI of 25.0 to 29.9 kg/m Individuals in South Africa who meet clinically defined criteria for overweight or obesity had a lower risk of all-cause mortality than those with a normal BMI. These findings were stronger for women and communicable conditions.
Identifiants
pubmed: 33070472
doi: 10.1002/oby.23005
pmc: PMC7686076
mid: NIHMS1618929
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
2414-2423Subventions
Organisme : NHLBI NIH HHS
ID : R01 HL141053
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG059504
Pays : United States
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : NIAID NIH HHS
ID : T32 AI007433
Pays : United States
Organisme : NIAID NIH HHS
ID : P30 AI060354
Pays : United States
Informations de copyright
© 2020 The Obesity Society.
Références
Stat Methods Med Res. 2013 Jun;22(3):278-95
pubmed: 21220355
Ann Intern Med. 2017 May 2;166(9):613-620
pubmed: 28384755
Int J Epidemiol. 2020 Apr 1;49(2):666-675
pubmed: 31930292
Popul Health Metr. 2011 Aug 05;9:47
pubmed: 21819602
Int J Epidemiol. 2017 Oct 1;46(5):1421-1432
pubmed: 28582528
Cancer Epidemiol Biomarkers Prev. 2017 Jan;26(1):21-29
pubmed: 27986655
N Engl J Med. 2017 Jul 6;377(1):13-27
pubmed: 28604169
Demography. 2001 Feb;38(1):115-32
pubmed: 11227840
Lancet. 2016 Apr 9;387(10027):1513-1530
pubmed: 27061677
J Glob Health. 2015 Jun;5(1):010402
pubmed: 25734004
Lancet. 2017 Jan 7;389(10064):37-55
pubmed: 27863813
PLoS One. 2015 Apr 13;10(4):e0123345
pubmed: 25875851
Int J Epidemiol. 2018 Feb 1;47(1):236-245
pubmed: 29024978
JAMA. 2013 Jan 2;309(1):71-82
pubmed: 23280227
Lancet Glob Health. 2018 Jul;6(7):e787-e794
pubmed: 29903379
Ann Intern Med. 1985 Dec;103(6 ( Pt 2)):1006-9
pubmed: 4062116
Stat Med. 2017 Nov 30;36(27):4391-4400
pubmed: 28913837
Lancet. 2016 Aug 20;388(10046):776-86
pubmed: 27423262
Nat Commun. 2019 Dec 2;10(1):5482
pubmed: 31792217
BMJ Open. 2018 Dec 6;8(12):e023369
pubmed: 30530475
N Engl J Med. 2010 Dec 2;363(23):2211-9
pubmed: 21121834
S Afr Med J. 2015 Sep 21;105(8):648-55
pubmed: 26449697
PLoS One. 2012;7(10):e47761
pubmed: 23082211
Lancet Diabetes Endocrinol. 2016 Nov;4(11):903-912
pubmed: 27727123
Int J Epidemiol. 2008 Oct;37(5):956-62
pubmed: 17998242
Lancet. 2017 Dec 16;390(10113):2627-2642
pubmed: 29029897