ABSTRACT
Background: Later years of life are accompanied by many physical; emotional and environmental changes which may impact on the well-being of the individual. Many factors are known to influence the subjective well-being of older adults; but most; if not all of this information was the result of studies in the Western world. This study aimed at obtaining and documenting the predictors of subjective well-being (SWB) among older Ghanaians. Methods: Data for the study was obtained from the WHO SAGE study. The single item measure of life satisfaction was used to determine subjective wellbeing. Descriptive statistics as well as logistic regression analysis were carried out to determine the predictors of SWB. Results: A total of 4724 individuals aged 50 years and above responded to the questionnaires. Of these 50.4 were males. Following multivariate logistic regression analysis; age; sex; educational level; income and ethnic background were found to significantly affect the SWB of older Ghanaians. Being male was associated with higher level of SWB (OR=1.68; CI: 1.39 - 2.03). For those 50 years and above; being younger (50-59 years) was also associated with a high level of SWB (OR=17.72; CI: 10.13-30.98). Earning a low income and having low educational level were both associated with low levels of SWB (OR=0.304; CI: 0.22-0.42; and OR=0.47; CI: 0.37-0.60 respectively). Ewes (p=0.027); Grumas (p=0.002) and Mole-Dagbons (p=0.04) had significantly higher SWB compared to the other ethnic groups. Conclusion: Among older Ghanaians; factors that positively influence SWB are younger age; male sex; high educational level and high income
Subject(s)
Health , Quality of LifeABSTRACT
678 under five children were surveyed in village Shahbad Mohammadpur, Delhi. Two weeks morbidity was also recorded. 47.9 per cent children had one or more risk factors studied. Significantly more female children (54.1 per cent) were at risk than male children (43.3 per cent). 433 risk factors were observed in 325 at risk children. Majority of them had one or two risk factors. Birth interval less than two years and malnutrition were most frequent risk factors. At risk children suffered significantly more than not at risk (21.2 per cent vs 14.4 per cent). The results confirmed the validity of the risk factors considered for the study.