The Effect of Social Determinants of Health on Psychological Health Among Older Adults in Ghana.

This study examines the effects of various factors, including socioeconomic status, built environment, access to healthcare, educational level, social participation, and economic stability, on older adults' psychological health. The current study analyzed a nationally representative sub-sample of 2,577 respondents aged 50 and above from the World Health Organization's Study on Global AGEing and Adult Health (WHO SAGE) Wave 2. WHO SAGE Wave 2 is cross-sectional data collected via in-person structured interviews. Ordinal least square (OLS) was used to measure the average effect of social determinants of health (SDoH), and quantile regression analysis was used to determine the effects of SDoH on older adults' psychological health at different quantiles, specifically 10th, 50th, and 90th percentiles. Significant determinants of psychological health across all quantiles included age, healthcare access, marital status, economic stability, and neighborhood and built environment. However, the degrees of significance for residence, gender, educational level, chronic diseases, and social participation varied between quantiles, showing differing effects on older adults with high or low psychological health. Religion was insignificant across all quantiles. This study highlights the need for governments and public health agencies to develop targeted interventions and strategies that support the psychological well-being of older adults in the country.

Evaluation of the Association Between Health State Utilities and Obesity in Sub-Saharan Africa: Evidence From World Health Organization Study on Global AGEing and Adult Health Wave 2.

BACKGROUND: Obesity is a major public health challenge and its prevalence has increased across the age spectrum from 1980 to date in most parts of the world including sub-Saharan Africa. Studies that derive health state utilities (HSUs) stratified by weight status to support the conduct of economic evaluations and prioritization of cost-effective weight management interventions are lacking in sub-Saharan Africa. OBJECTIVES: To estimate age- and sex-specific HSUs for Ghana, along with HSUs by weight status. Associations between HSUs and overweight and obesity will be examined. STUDY DESIGN: Cross-sectional survey of the Ghanaian population. METHODS: Data were sourced from the World Health Organization Study of Global AGEing and Adult Health (WHO SAGE), 2014 to 2015. Using a "judgment-based mapping" method, responses to items from the World Health Organization Quality-of-Life (WHOQOL-100) used in the WHO SAGE were mapped to EQ-5D-5L profiles, and the Zimbabwe value set was applied to calculate HSUs. Poststratified sampling weights were applied to estimate mean HSUs, and a multivariable linear regression model was used to examine associations between HSUs and overweight or obesity. RESULTS: Responses from 3966 adults aged 18 to 110 years were analyzed. The mean (95% confidence interval) HSU was 0.856 (95% CI: 0.850, 0.863) for the population, 0.866 (95% CI: 0.857, 0.875) for men, and 0.849 (95% CI: 0.841, 0.856) for women. Lower mean HSUs were observed for obese individuals and with older ages. Multivariable regression analysis showed that HSUs were negatively associated with obesity (-0.024; 95% CI: -0.037, -0.011), female sex (-0.011; 95% CI: -0.020, -0.003), and older age groups in the population. CONCLUSIONS: The study provides HSUs by sex, age, and body mass index (BMI) categories for the Ghanaian population and examines associations between HSU and high BMI. Obesity was negatively associated with health state utility in the population. These data can be used in future economic evaluations for Ghana and sub-Saharan African populations.

Assessing body mass index stages, individual diabetes and hypertension history effects on the risk of developing hypertension among Ghanaians: A cross-sectional study.

Background and Aims: This study aimed to understand the relationship between body mass index (BMI), diabetes and hypertension history, and other risk of hypertension among Ghanaians. Methods: The BMI data are categorized according to the World Health Organization (WHO) definition. The data were obtained from the WHO Study on global AGEing and adult health (WHO SAGE) Ghana Wave 2. Descriptive statistics were used to summarize the variables, and the association between these variables and hypertension was assessed using the χ². Multivariable logistic regression was used to examine the relationship between hypertension and different BMI levels and other variables. Results: Obesity class II individuals have about a 4-fold higher risk of developing hypertension compared to underweight individuals. Obesity class III, class I, and preobesity individuals have approximately a 3-fold higher risk. Normal weight is associated with increased hypertension risk. Both males and females show a significant increase in hypertension risk across all BMI categories. History of hypertension is linked to a 2.2-fold increased risk. Diabetes history is associated with hypertension when considering other factors. Elevated hypertension risk is observed among married, divorced, and widowed males then never married males. Only widowed females showed an increased risk. Older age significantly increases hypertension risk, particularly in females. Vegetable servings reduce hypertension risk, while fruit servings are associated with an increased risk. Vigorous exercise increases hypertension risk, particularly in females. Conclusion: Regular check-ups are recommended for married, divorced, and widowed males, focusing on blood pressure (BP) levels. Regular exercise from young age helps lower BP in later years. Individuals with a history of hypertension should follow BP control measures. Encouraging the consumption of the right combination of vegetables and fruits can help lower BP. Female tobacco smoking should be strongly discouraged due to a 54% increased risk of developing hypertension.

Health service utilization and direct healthcare costs associated with obesity in older adult population in Ghana.

Obesity is a major risk factor for many chronic diseases and disabilities, with severe implications on morbidity and mortality among older adults. With an increasing prevalence of obesity among older adults in Ghana, it has become necessary to develop cost-effective strategies for its management and prevention. However, developing such strategies is challenging as body mass index (BMI)-specific utilization and costs required for cost-effectiveness analysis are not available in this population. Therefore, this study examines the associations between health services utilization as well as direct healthcare costs and overweight (BMI ≥25.00 and <30.00 kg/m2) and obesity (BMI ≥30.00 kg/m2) among older adults in Ghana. Data were used from a nationally representative, multistage sample of 3350 people aged 50+ years from the World Health Organization's Study on global AGEing and adult health (WHO-SAGE; 2014/15). Health service utilization was measured by the number of health facility visits over a 12-month period. Direct costs (2017 US dollars) included out-of-pocket payments and the National Health Insurance Scheme (NHIS) claims. Associations between utilization and BMI were examined using multivariable zero-inflated negative binomial regressions; and between costs and BMI using multivariable two-part regressions. Twenty-three percent were overweight and 13% were obese. Compared with normal-weight participants, overweight and obesity were associated with 75% and 159% more inpatient admissions, respectively. Obesity was also associated with 53% additional outpatient visits. One in five of the overweight and obese population had at least one chronic disease, and having chronic disease was associated with increased outpatient utilization. The average per person total costs for overweight was $78 and obesity was $132 compared with $35 for normal weight. The NHIS bore approximately 60% of the average total costs per person expended in 2014/15. Overweight and obese groups had significantly higher total direct healthcare costs burden of $121 million compared with $64 million for normal weight in the entire older adult Ghanaian population. Compared with normal weight, the total costs per person associated with overweight increased by 73% and more than doubled for obesity. Even though the total prevalence of overweight and obesity was about half of that of normal weight, the sum of their cost burden was almost doubled. Implementing weight reduction measures could reduce health service utilization and costs in this population.