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Poverty-related diseases: factors that predict coping in two Cameroonian settings.
- Source :
- Health Promotion International; Apr2019, Vol. 34 Issue 2, p344-355, 12p
- Publication Year :
- 2019
-
Abstract
- In this paper, we explore the connection between poverty and health (poverty-related diseases: PRDs) by investigating the factors that play a role in how two groups of people in Cameroon cope with health challenges: workers in a large agro-industrial organization (living in 'camps') and students in two major universities (living on 'campuses'). We investigated factors reported in the literature as being associated with coping, summarized under the 'salutogenic umbrella', as well as demographic, social and environmental factors. A total of 509 respondents from camps and campuses participated in this study. We used a combination of standardized and un-standardized survey instruments to measure coping. We used χ <superscript>2</superscript> and ANOVA tests to investigate bivariate differences and multiple logistic regression analysis to determine which significant survey factors predicted coping. Our results showed expected and unexpected differences between the settings. Individual dispositional factors such as sense of coherence (SOC), self-efficacy (SE), subjective wellbeing and self-rated health differed significantly between the settings. Expected coping resources such as income and SE did not differ between non-copers and copers. Two factors emerged as predictors of coping: living environment (setting) and SOC. Our results highlight the need for a multidimensional perspective on poverty and also the need to apply the salutogenic approach in PRD research. In particular, the emphasis this approach puts on stressors and the capacity to employ a variety of resources to overcome stressors is a fruitful way to better understand PRDs and the importance of location-specific circumstances where poverty, health and diseases are connected. [ABSTRACT FROM AUTHOR]
- Subjects :
- POVERTY areas
PSYCHOLOGICAL adaptation
AGRICULTURE
ANALYSIS of variance
BLUE collar workers
CHI-squared test
COLLEGE students
STATISTICAL correlation
DISEASES
ECOLOGY
FACTOR analysis
HEALTH status indicators
QUESTIONNAIRES
RESEARCH evaluation
SCALE analysis (Psychology)
SELF-efficacy
STATISTICS
STRESS management
MULTIPLE regression analysis
SOCIOECONOMIC factors
WELL-being
DATA analysis software
DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 09574824
- Volume :
- 34
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Health Promotion International
- Publication Type :
- Academic Journal
- Accession number :
- 135718806
- Full Text :
- https://doi.org/10.1093/heapro/dax088