The Effect of Sex and Wealth on Population Attributable Risk Factors for Dementia in South Africa
Background and Aims: South Africa is a middle-income country with high levels of income inequality and a rapidly aging population and increasing dementia prevalence. Little is known about which risk factors for dementia are important and how they differ by social determinants of health as well as ke...
Guardado en:
Autores principales: | , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/0b09aacc463a46d19277f9ba378bb961 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:0b09aacc463a46d19277f9ba378bb961 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:0b09aacc463a46d19277f9ba378bb9612021-11-30T21:51:29ZThe Effect of Sex and Wealth on Population Attributable Risk Factors for Dementia in South Africa1664-229510.3389/fneur.2021.766705https://doaj.org/article/0b09aacc463a46d19277f9ba378bb9612021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fneur.2021.766705/fullhttps://doaj.org/toc/1664-2295Background and Aims: South Africa is a middle-income country with high levels of income inequality and a rapidly aging population and increasing dementia prevalence. Little is known about which risk factors for dementia are important and how they differ by social determinants of health as well as key demographic characteristics such as sex and wealth. We sought to calculate the population attributable risks (PARs) for established potentially modifiable risk factors for dementia among these different groups.Methods: We obtained risk factor prevalence from population-based surveys for established dementia risk factors (diabetes, midlife hypertension, midlife obesity, physical inactivity, depression, smoking, low educational attainment, social isolation). We used relative risk estimates reported in previous meta-analyses and estimated PARs using Levin's formula and accounting for communality. We tested for one-way and two-way interactions by sex and wealth using Pearson's χ2. In stratified analyses, we performed tests for trend using logistic regression.Results: The prevalence of established risk factors for dementia ranged from 5% for depression to 64% for low education. After accounting for communality, the risk factors contributing the greatest PAR were low education (weighted PAR 12%, 95% CI 7% to 18%), physical inactivity (9, 5–14%), and midlife hypertension (6, 5–14%). Together, 45% of dementia cases may be attributable to modifiable risk factors (95% CI 25–59%). We found significant interactions (p < 0.005) between sex, wealth, or both (sex * wealth) and each risk factor except social isolation and physical activity. Low education was inversely associated with wealth in both male and female. The PAR for midlife hypertension, obesity, and diabetes was associated with increasing wealth, and was higher in female. In contrast, the PAR for smoking was higher in male (8% vs. 2%) and was associated with increasing wealth among female only. We found that either a strategy of large reductions in selected risk factors with the highest PAR (midlife hypertension, smoking, physical inactivity) or small reductions across all risk factors could potentially reduce dementia cases by as many as 250,000 by 2050.Discussions: The potential impact on dementia risk by decreasing exposure to established dementia risk factors is large and differs by sex and social determinants of health like wealth. Risk factor PAR should inform national and local health policy dementia initiatives in South Africa including which risk factors to target in the whole population and which to target in high-risk groups for maximum public health benefit.Kirsten BobrowKirsten BobrowTina HoangDeborah E. BarnesDeborah E. BarnesDeborah E. BarnesRaquel C. GardnerRaquel C. GardnerRaquel C. GardnerIsabel E. AllenKristine YaffeKristine YaffeKristine YaffeKristine YaffeKristine YaffeKristine YaffeFrontiers Media S.A.articledementiarisk factor (RF)modifiableAfricasexwealthNeurology. Diseases of the nervous systemRC346-429ENFrontiers in Neurology, Vol 12 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
dementia risk factor (RF) modifiable Africa sex wealth Neurology. Diseases of the nervous system RC346-429 |
spellingShingle |
dementia risk factor (RF) modifiable Africa sex wealth Neurology. Diseases of the nervous system RC346-429 Kirsten Bobrow Kirsten Bobrow Tina Hoang Deborah E. Barnes Deborah E. Barnes Deborah E. Barnes Raquel C. Gardner Raquel C. Gardner Raquel C. Gardner Isabel E. Allen Kristine Yaffe Kristine Yaffe Kristine Yaffe Kristine Yaffe Kristine Yaffe Kristine Yaffe The Effect of Sex and Wealth on Population Attributable Risk Factors for Dementia in South Africa |
description |
Background and Aims: South Africa is a middle-income country with high levels of income inequality and a rapidly aging population and increasing dementia prevalence. Little is known about which risk factors for dementia are important and how they differ by social determinants of health as well as key demographic characteristics such as sex and wealth. We sought to calculate the population attributable risks (PARs) for established potentially modifiable risk factors for dementia among these different groups.Methods: We obtained risk factor prevalence from population-based surveys for established dementia risk factors (diabetes, midlife hypertension, midlife obesity, physical inactivity, depression, smoking, low educational attainment, social isolation). We used relative risk estimates reported in previous meta-analyses and estimated PARs using Levin's formula and accounting for communality. We tested for one-way and two-way interactions by sex and wealth using Pearson's χ2. In stratified analyses, we performed tests for trend using logistic regression.Results: The prevalence of established risk factors for dementia ranged from 5% for depression to 64% for low education. After accounting for communality, the risk factors contributing the greatest PAR were low education (weighted PAR 12%, 95% CI 7% to 18%), physical inactivity (9, 5–14%), and midlife hypertension (6, 5–14%). Together, 45% of dementia cases may be attributable to modifiable risk factors (95% CI 25–59%). We found significant interactions (p < 0.005) between sex, wealth, or both (sex * wealth) and each risk factor except social isolation and physical activity. Low education was inversely associated with wealth in both male and female. The PAR for midlife hypertension, obesity, and diabetes was associated with increasing wealth, and was higher in female. In contrast, the PAR for smoking was higher in male (8% vs. 2%) and was associated with increasing wealth among female only. We found that either a strategy of large reductions in selected risk factors with the highest PAR (midlife hypertension, smoking, physical inactivity) or small reductions across all risk factors could potentially reduce dementia cases by as many as 250,000 by 2050.Discussions: The potential impact on dementia risk by decreasing exposure to established dementia risk factors is large and differs by sex and social determinants of health like wealth. Risk factor PAR should inform national and local health policy dementia initiatives in South Africa including which risk factors to target in the whole population and which to target in high-risk groups for maximum public health benefit. |
format |
article |
author |
Kirsten Bobrow Kirsten Bobrow Tina Hoang Deborah E. Barnes Deborah E. Barnes Deborah E. Barnes Raquel C. Gardner Raquel C. Gardner Raquel C. Gardner Isabel E. Allen Kristine Yaffe Kristine Yaffe Kristine Yaffe Kristine Yaffe Kristine Yaffe Kristine Yaffe |
author_facet |
Kirsten Bobrow Kirsten Bobrow Tina Hoang Deborah E. Barnes Deborah E. Barnes Deborah E. Barnes Raquel C. Gardner Raquel C. Gardner Raquel C. Gardner Isabel E. Allen Kristine Yaffe Kristine Yaffe Kristine Yaffe Kristine Yaffe Kristine Yaffe Kristine Yaffe |
author_sort |
Kirsten Bobrow |
title |
The Effect of Sex and Wealth on Population Attributable Risk Factors for Dementia in South Africa |
title_short |
The Effect of Sex and Wealth on Population Attributable Risk Factors for Dementia in South Africa |
title_full |
The Effect of Sex and Wealth on Population Attributable Risk Factors for Dementia in South Africa |
title_fullStr |
The Effect of Sex and Wealth on Population Attributable Risk Factors for Dementia in South Africa |
title_full_unstemmed |
The Effect of Sex and Wealth on Population Attributable Risk Factors for Dementia in South Africa |
title_sort |
effect of sex and wealth on population attributable risk factors for dementia in south africa |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doaj.org/article/0b09aacc463a46d19277f9ba378bb961 |
work_keys_str_mv |
AT kirstenbobrow theeffectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT kirstenbobrow theeffectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT tinahoang theeffectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT deborahebarnes theeffectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT deborahebarnes theeffectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT deborahebarnes theeffectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT raquelcgardner theeffectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT raquelcgardner theeffectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT raquelcgardner theeffectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT isabeleallen theeffectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT kristineyaffe theeffectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT kristineyaffe theeffectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT kristineyaffe theeffectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT kristineyaffe theeffectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT kristineyaffe theeffectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT kristineyaffe theeffectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT kirstenbobrow effectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT kirstenbobrow effectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT tinahoang effectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT deborahebarnes effectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT deborahebarnes effectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT deborahebarnes effectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT raquelcgardner effectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT raquelcgardner effectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT raquelcgardner effectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT isabeleallen effectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT kristineyaffe effectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT kristineyaffe effectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT kristineyaffe effectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT kristineyaffe effectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT kristineyaffe effectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica AT kristineyaffe effectofsexandwealthonpopulationattributableriskfactorsfordementiainsouthafrica |
_version_ |
1718406243492560896 |