The association between biopsychosocial factors and disability in a national health survey in South Africa

Biopsychosocial factors associated with the state of disability after hemiparesis in the chronic phase of stroke: exploratory analysis based on the International Classification of Functioning, Disability and Health

OBJECTIVE

To identify the main biopsychosocial factors associated with disability level after stroke using the International Classification of Functioning, Disability and Health (ICF) model.

METHODS

A cross-sectional study was conducted with chronic stroke survivors. Disability was assessed using the World Health Disability Assessment Schedule 2.0. The independent variables were: Body functions: emotional functioning and whether the dominant upper limb was affected. For the Activities & Participation component, satisfaction regarding the execution of activities and participation were assessed using the SATIS-Stroke, as well as the locomotion ability for adults (ABILOCO), manual ability (ABILHAND) and the return to work. For environmental factors, income and facilitators and obstacles were assessed using the Measure of the Quality of the Environment (MQE). Personal factors: age and sex. Multiple Linear Regression was employed.

RESULTS

Limited locomotor ability (β = -0.281; t = -3.231 p = 0.002), dissatisfaction regarding activities and participation (β = -0.273; t = -3.070 p = 0.003), and the non-return to work (β = 0.162; t = 2.085 p = 0.04) were associated with disability.

CONCLUSION

The reduction in locomotor ability, dissatisfaction regarding activities and participation and the non-return to work were associated with disability in the chronic phase following a stroke.

Racial disparities in psychological distress in post-apartheid South Africa: results from the SANHANES-1 survey

PURPOSE

South Africa has long endured a high prevalence of mental disorders at the national level, and its unique social and historical context could be a contributor to an increased risk of mental health problems. Our current understanding is limited regarding the relative importance of various social determinants to mental health challenges in South Africa, and how existing racial inequities may be explained by these determinants.

METHODS

This study attempted to elucidate potential social determinants of mental health in South Africa using data from the nationally representative South African National Health and Nutrition Examination Survey (SANHANES-1). The main outcome of interest was psychological distress, measured with the Kessler-10 scale. Hierarchical linear regression models included covariates for demographic and socioeconomic factors, count of traumatic events, and a series of stress-related constructs. Analyses were conducted on two populations: the entire sample (n = 15,981), and the African subpopulation (n = 10,723).

RESULTS

Regression models on the entire sample indicated racial disparities in psychological distress, with Africans experiencing higher distress than White and Coloured individuals. Results within the African sub-population indicated geo-spatial disparities, with Africans in formal urban settings experiencing higher psychological distress than those living in formal and informal rural locales. Across both samples, results indicated a cumulative association between count of stressors and traumatic events and distress.

CONCLUSION

We found racial disparities across several mental health-related domains. Africans had greater exposure to traumatic events, social stressors, and psychological distress. This research is a necessary foundation for public health interventions and policy change to effectively reduce inequities in psychological distress.

Prevalence of Older Adult Disability and Primary Health Care Responsiveness in Low-Income Communities

In Brazil and in most low- and middle-income countries (LMICs), information about how prepared the health care system is for the rapid aging of the population is scarce. We investigated the prevalence of disability and areas of life affected by disability among elders of the public primary health care in São Paulo and Manaus, Brazil. We investigated whether people with disability visited a primary care professional more frequently, the individual characteristics associated with disability, and differences by city. We randomly selected participants aged ≥60 years (n = 1375). The main outcome was disability, evaluated with the 12-item World Health Organization Disability Assessment Schedule (WHODAS 2.0). Exposure variables were consultation with a family physician, sociodemographic characteristics, health status, social support, and lifestyle. The prevalence of global disability was higher in Manaus (66.2% vs. 56.4% in São Paulo). In both cities, participation and mobility were the areas of life most affected by disability. The number of consultations with a family physician was not associated with disability. The high prevalence of disability and associated risk factors indicates that public primary health care is not meeting the needs of elders in both cities. It is warning because most elders in LMICs live in more underserved communities compared to Brazil.

A new look at population health through the lenses of cognitive, functional and social disability clustering in eastern DR Congo: a community-based cross-sectional study

BACKGROUND

The importance of viewing health from a broader perspective than the mere presence or absence of disease is critical at primary healthcare level. However, there is scanty evidence-based stratification of population health using other criteria than morbidity-related indicators in developing countries. We propose a novel stratification of population health based on cognitive, functional and social disability and its covariates at primary healthcare level in DR Congo.

METHOD

We conducted a community-based cross-sectional study in adults with diabetes or hypertension, mother-infant pairs with child malnutrition, their informal caregivers and randomly selected neighbours in rural and sub-urban health zones in South-Kivu Province, DR Congo. We used the WHO Disability Assessment Schedule 2.0 (WHODAS) to measure functional, cognitive and social disability. The study outcome was health status clustering derived from a principal component analysis with hierarchical clustering around the WHODAS domains scores. We calculated adjusted odds ratios (AOR) using mixed-effects ordinal logistic regression.

RESULTS

Of the 1609 respondents, 1266 had WHODAS data and an average age of 48.3 (SD: 18.7) years. Three hierarchical clusters were identified: 9.2% of the respondents were in cluster 3 of high dependency, 21.1% in cluster 2 of moderate dependency and 69.7% in cluster 1 of minor dependency. Associated factors with higher disability clustering were being a patient compared to being a neighbour (AOR: 3.44; 95% CI: 1.93-6.15), residency in rural Walungu health zone compared to semi-urban Bagira health zone (4.67; 2.07-10.58), female (2.1; 1.25-2.94), older (1.05; 1.04-1.07), poorest (2.60; 1.22-5.56), having had an acute illness 30 days prior to the interview (2.11; 1.24-3.58), and presenting with either diabetes or hypertension (2.73; 1.64-4.53) or both (6.37; 2.67-15.17). Factors associated with lower disability clustering were being informally employed (0.36; 0.17-0.78) or a petty trader/farmer (0.44; 0.22-0.85).

CONCLUSION

Health clustering derived from WHODAS domains has the potential to suitably classify individuals based on the level of health needs and dependency. It may be a powerful lever for targeting appropriate healthcare service provision and setting priorities based on vulnerability rather than solely presence of disease.