Women, literacy and health: comparing health and education sectoral approaches in Nepal

Functional adult literacy interventions have been regarded for many decades by policy makers as an effective way of imparting health knowledge. Supported by research on the statistical relationships between women’s literacy rates and health indicators, this dominant policy discourse is based on assumptions that non-literate women lack understanding and confidence, and that formal programmes and institutions constitute the main sites of learning. Proposing a broader conceptualisation of literacy as a social practice and of health as connected with social justice, this article draws on policy analysis and the authors’ earlier research in Nepal to re-examine the relationship between gender, literacy and health. By comparing health and literacy approaches used within the education and health sectors and taking account of new and indigenous informal learning practices, the article points to ways of investigating the complex interaction of factors that influence inequalities in gender and health at community level

Social network types and functional dependency in older adults in Mexico

<p>Abstract</p> <p>Background</p> <p>Social networks play a key role in caring for older adults. A better understanding of the characteristics of different social networks types (TSNs) in a given community provides useful information for designing policies to care for this age group. Therefore this study has three objectives: 1) To derive the TSNs among older adults affiliated with the Mexican Institute of Social Security; 2) To describe the main characteristics of the older adults in each TSN, including the instrumental and economic support they receive and their satisfaction with the network; 3) To determine the association between functional dependency and the type of social network.</p> <p>Methods</p> <p>Secondary data analysis of the 2006 Survey of Autonomy and Dependency (N = 3,348). The TSNs were identified using the structural approach and cluster analysis. The association between functional dependency and the TSNs was evaluated with Poisson regression with robust variance analysis in which socio-demographic characteristics, lifestyle and medical history covariates were included.</p> <p>Results</p> <p>We identified five TSNs: diverse with community participation (12.1%), diverse without community participation (44.3%); widowed (32.0%); nonfriends-restricted (7.6%); nonfamily-restricted (4.0%). Older adults belonging to widowed and restricted networks showed a higher proportion of dependency, negative self-rated health and depression. Older adults with functional dependency more likely belonged to a widowed network (adjusted prevalence ratio 1.5; 95%CI: 1.1-2.1).</p> <p>Conclusion</p> <p>The derived TSNs were similar to those described in developed countries. However, we identified the existence of a diverse network without community participation and a widowed network that have not been previously described. These TSNs and restricted networks represent a potential unmet need of social security affiliates.</p