Using latent class analysis to operationalize a wholistic assessment of Inuit health and well-being.

Many indigenous cultures conceptualize health wholistically, whereby physical, mental, spiritual and relational dimensions of health are interconnected. Yet, quantitative approaches to studying Indigenous health remain anchored in western perspectives, that separate the dimensions of health. This paper aims to operationalize a wholistic indicator of health based on the IQI model of Inuit health. Variables from the 2017 Nunavik Health Survey (N = 1196) were selected based on their representativeness of IQI model. Exploratory Latent Class Analysis (LCA) was used to identify wholistic health profiles. Once participants assigned to their health profile, sociodemographic characteristics were compared across profiles, and multinomial regression models were used to examine the relationship between community-level social determinants of health and the profiles. The LCA revealed three health profiles, labelled as "excellent", "good" and "fair" based on the distribution of answers to the indicators. Nunavimmiut in "excellent" and "good" health were more likely to: rate their health positively; be over 30 years old; be in a relationship; and have participated or volunteered in community events. Nunavimmiut in "fair" health tended to report lower levels of community cohesion, family relationships, and emotional support. Intergrating culturally relevant models of health can support improved health status assessments and identify opportunities for health promotion.

The social determinants of healthy ageing in the Canadian Arctic.

A better knowledge of the social determinants of health (SDH) promoting healthy ageing in Inuit communities is needed to adapt health and social policies and programs. This study aims to identify SDH associated with healthy ageing. Using the 2006 Aboriginal Peoples Survey (n = 850 Inuit aged ≥50 years), we created a holistic indicator including multiple dimensions of health and identified three groups of participants: those in 1) good 2) intermediate and 3) poor health. Sex and age-adjusted multinomial regression models were applied to assess the associations between this indicator and SDH measured at the individual, household and community scales. In comparison to APS respondents in the "Poor health" profile, those in the "Good health" profile were more likely to have a higher individual income, to participate in social activities, and to have stronger family ties in the community ; those in the "Intermediate health" profile were less likely be in a relationship, more likely to live in better housing conditions, and in better-off communities. Results indicate that SDH associated with the "Good health" profile related more to social relationships and participation, those associated with the "Intermediate health" profile related more to economic and material conditions.