ABSTRACT
This paper examines the main and interactive effects of national culture dimensions and HIV prevalence rates on stigma towards people living with HIV/AIDS (PLHIVA). We examined these various relationships using data from a sample of 68,041 individuals from 49 countries, obtained from the World Values Survey. We used Hierarchical Linear Modeling to conduct our cross-level analyses. Our results indicated that collectivistic societies were positively associated while egalitarian and performance-oriented societies were negatively associated with stigma towards PLHIVA. Additionally, HIV prevalence rates interact with several cultural dimensions to worsen stigma towards PLHIVA. Our findings indicate the need to tailor stigma reduction strategies by taking the national culture dimensions of a given society into consideration when designing and implementing programs.
ABSTRACT
BACKGROUND: Despite the notion of stigma as a socio-cultural process with the concept rooted in social space rather than in individual space, global studies examining impact of cultural differences on stigma toward substance use disorders are lacking. AIM: In this study, we aim to study the influence of national culture differences on stigma toward alcohol and substance use disorders. METHODS: We analyzed individual-level data from 68,041 respondents from 49 countries on stigma toward alcohol and substance use disorders. We examined the effect of the national culture dimensions and national alcohol and substance consumption rates on stigma toward alcohol and substance use disorders using hierarchical linear modeling. RESULTS: Our hierarchical linear modeling results indicate that cultural dimensions and consumption rates significantly influence stigma. We found significant positive associations between stigma toward AUD and institutional collectivism and assertiveness, but a negative association with future orientation dimension. Like AUD, stigma toward SUD was also positively associated with institutional collectivism and assertiveness, but negatively associated with power distance. CONCLUSIONS: The study findings have immense implications for national interventions to decrease stigma and influence policy making.
Subject(s)
Social Stigma , Substance-Related Disorders , HumansABSTRACT
Health Heatmap of India is an open data platform built for bringing together data from diverse sources and facilitating visualization, analysis, and insight building from such data. In this paper, we describe the context and need for such an open data platform and describe the technical aspects of building it. The beta site of the portal is available at https://healthheatmapindia.org.
ABSTRACT
Background: High prevalence of maternal malnutrition, low birth-weight and child malnutrition in India contribute substantially to the global malnutrition burden. Rural India has disproportionately higher levels of child malnutrition. Stunting and wasting are the primary determinants of malnutrition and their district-level distribution shows clustering in different geographies and regions. Methods: The last round of National Family Health Survey (NFHS4) has disaggregated data by district, enabling a more nuanced understanding of the prevalence of markers of malnutrition. We used data from NFHS4 and agricultural statistics datasets to analyse relationship of cereal cultivation with the prevalence of child malnutrition. We studied the current science on growth-related nutrient-sensing pathways to explain this pattern. Results: Stunting and wasting patterns across districts show a distinct geographical and age distribution; districts with higher wasting showed early prevalence of 40% at six months of age. Wasting was associated with higher cultivation of millets, with a stronger association seen for jowar and other millets. Low maternal BMI in districts with higher wasting could be linked to the consumption of millets as staple. We conceptualised a hypothetical schematic pathway linking early origin of wasting in children with millet-based diet, driven by inhibition of critical intra-cellular pathways controlling growth covering pre-natal, post-natal and early childhood. The analysis was limited by lack of fine-scale data on prevalence of low birth-weight and type of cereal consumed. Conclusions: Multi-site observational studies of long-term effects of type of cereals consumed could help explain the ecogeographic distribution of malnutrition in India. Cereals, particularly millets constitute the bulk of protein intake among the poor, especially in rural areas in India where wasting persists. Policies and programs targeting malnutrition need to address type of cereal consumed in order to impact childhood malnutrition in parts of India where subsistence cultivation of millets for staple consumption is prevalent.
