Can we study the family environment through census data? A comparison of households, dwellings, and domestic units in rural Mali.

Are 'statistical households', as defined in national censuses, able to describe the family environment in Africa? Do they correspond to the family units that individuals identify with? To address this issue, we build on a follow-up survey in south-east Mali, which links national censuses with local censuses at the individual level (N ≈ 28,000 census observations). Three cross-sectional snapshots of family arrangements are compared: households recorded in national censuses, and family economic units and residential units recorded by local censuses. The national census household data appear poorly suited to documenting family living arrangements. They do not account for family economic units or residential units, but are highly conditioned by a normative representation centred on the nuclear family. Therefore, they fail to describe the complexity and diversity of people's living spaces, making particular types of living arrangements invisible and increasing the likelihood of omitting individuals who do not fit into a nuclear model.

Intimate ties of people living with HIV in France resulted both from social status and the experience of being HIV-infected: results from the ANRS-Vespa2 study, France.

Based on data from the ANRS-Vespa2 study, conducted among a representative sample of PLWHIV (France, 2011), we studied intimate ties with relatives and friends and their determinants. Six social network profiles were identified, with a clear association with socioepidemiological groups: the most surrounded individuals were MSM, and the most isolated ones were sub-Saharan African migrants (especially women). Social networks were shaped both by material socioeconomic status and HIV experience: involvement in PLWHIV organizations, disclosure of HIV infection, and the experience of discrimination. Among PLWHIV, intimate ties appeared to be shaped by both their multifaceted social position rooted in power relationships and by HIV-related stigma. Such a process nurtures social inequality in coping with HIV infection, since the most disadvantaged individuals appear to be the most isolated ones. A holistic approach to HIV care is still required to overcome the marginalization of PLWHIV .

Mortality inequality in populations with equal life expectancy: Arriaga's decomposition method in SAS, Stata, and Excel.

PURPOSE: Life expectancy is used to measure population health, but large differences in mortality can be masked even when there is no life expectancy gap. We demonstrate how Arriaga's decomposition method can be used to assess inequality in mortality between populations with near equal life expectancy. METHODS: We calculated life expectancy at birth for Quebec and the rest of Canada from 2005 to 2009 using life tables and partitioned the gap between both populations into age and cause-specific components using Arriaga's method. RESULTS: The life expectancy gap between Quebec and Canada was negligible (<0.1 years). Decomposition of the gap showed that higher lung cancer mortality in Quebec was offset by cardiovascular mortality in the rest of Canada, resulting in identical life expectancy in both groups. Lung cancer in Quebec had a greater impact at early ages, whereas cardiovascular mortality in Canada had a greater impact at older ages. CONCLUSIONS: Despite the absence of a gap, we demonstrate using decomposition analyses how lung cancer at early ages lowered life expectancy in Quebec, whereas cardiovascular causes at older ages lowered life expectancy in Canada. We provide SAS/Stata code and an Excel spreadsheeet to facilitate application of Arriaga's method to other settings.