* An association between neighbourhood wealth inequality and HIV prevalence in sub-Saharan Africa.
- This paper investigates whether community-level wealth inequality predicts HIV serostatus using DHS household survey and HIV biomarker data for men and women ages 15-59 pooled from six sub-Saharan African countries with HIV prevalence rates exceeding 5%. The analysis relates the binary dependent variable HIV-positive serostatus and two weighted aggregate predictors generated from the DHS Wealth Index: the Gini coefficient, and the ratio of the wealth of households in the top 20% wealth quintile to that of those in the bottom 20%. In separate multilevel logistic regression models, wealth inequality is used to predict HIV prevalence within each statistical enumeration area, controlling for known individual-level demographic predictors of HIV serostatus. Potential individual-level sexual behaviour mediating variables are added to assess attenuation, and ordered logit models investigate whether the effect is mediated through extramarital sexual partnerships. Both the cluster-level wealth Gini coefficient and wealth ratio significantly predict positive HIV serostatus: a 1 point increase in the cluster-level Gini coefficient and in the cluster-level wealth ratio is associated with a 2.35 and 1.3 times increased likelihood of being HIV positive, respectively, controlling for individual-level demographic predictors, and associations are stronger in models including only males. Adding sexual behaviour variables attenuates the effects of both inequality measures. Reporting eleven plus lifetime sexual partners increases the odds of being HIV positive over five-fold. The likelihood of having more extramarital partners is significantly higher in clusters with greater wealth inequality measured by the wealth ratio. Disaggregating logit models by sex indicates important risk behaviour differences. Household wealth inequality within DHS clusters predicts HIV serostatus, and the relationship is partially mediated by more extramarital partners. These results emphasize the importance of incorporating higher-level contextual factors, investigating behavioural mediators, and disaggregating by sex in assessing HIV risk in order to uncover potential mechanisms of action and points of preventive intervention.
=>個人資産
Overview of noun effects
The noun effects has 1 sense (no senses from tagged texts)
1. effects, personal effects -- (property of a personal character that is portable but not used in
business; "she left some of her personal effects in the house"; "I watched over their effects until
they returned")
Overview of noun effect
The noun effect has 6 senses (first 5 from tagged texts)
1. (101) consequence, effect, outcome, result, event, issue, upshot -- (a phenomenon that follows
and is caused by some previous phenomenon; "the magnetic effect was greater when the rod was
lengthwise"; "his decision had depressing consequences for business"; "he acted very wise after the
event")
2. (11) impression, effect -- (an outward appearance; "he made a good impression"; "I wanted to
create an impression of success"; "she retained that bold effect in her reproductions of the
original painting")
3. (9) effect -- (an impression (especially one that is artificial or contrived); "he just did it
for effect")
4. (2) effect, essence, burden, core, gist -- (the central meaning or theme of a speech or literary
work)
5. (1) effect, force -- ((of a law) having legal validity; "the law is still in effect")
6. effect -- (a symptom caused by an illness or a drug; "the effects of sleep loss"; "the effect of
the anesthetic")
Overview of verb effect
The verb effect has 2 senses (first 2 from tagged texts)
1. (17) effect, effectuate, set up -- (produce; "The scientists set up a shock wave")
2. (3) effect -- (act so as to bring into existence; "effect a change")
--- WordNet end ---