Little information exists about the loss of all one’s teeth (edentulism) among older adults in low- and middle-income countries. This study examines the prevalence of edentulism and associated factors among older adults in a cross-sectional study across six such countries. Data from the World Health Organization (WHO’s) Study on global AGEing and adult health (SAGE) Wave 1 was used for this study with adults aged 50-plus from China (N = 13,367), Ghana (N = 4724), India (N = 7150), Mexico (N = 2315), Russian Federation (N = 3938) and South Africa (N = 3840). Multivariate regression was used to assess predictors of edentulism. The overall prevalence of edentulism was 11.7% in the six countries, with India, Mexico, and Russia has higher prevalence rates (16.3%–21.7%) than China, Ghana, and South Africa (3.0%–9.0%). In multivariate logistic analysis sociodemographic factors (older age, lower education), chronic conditions (arthritis, asthma), health risk behaviour (former daily tobacco use, inadequate fruits and vegetable consumption) and other health related variables (functional disability and low social cohesion) were associated with edentulism. The national estimates and identified factors associated with edentulism among older adults across the six countries helps to identify areas for further exploration and targets for intervention.
Tobacco use over the life-course threatens to increase disease burden in older adulthood, including lower income countries like Ghana. This paper describes demographic, socioeconomic, health risks and life satisfaction indices related to tobacco use among older adults in Ghana.
Edentulism affects the quality of life and general health of an individual. But in ageing individuals, it has been observed to have greater impact, manifesting in functional, psychological and social limitations. With an increasing older adult population in Ghana, its burden is likely to increase. This study was thus carried out to explore the association between edentulism and quality of life among older Ghanaian adults. Secondary analysis of WHO’s Study on global AGEing and adult health (SAGE) Wave 1 in Ghana was conducted using self-reported edentulism as the dependent variable. Participants included a nationally representative sample of adult’s aged 50 years and older living in Ghana. Quality of life was measured using the 8 item WHOQOL measure and a single item measure which was a question “How would you rate your overall quality of life?”. To assess the association between edentulism and the independent variables, a bivariate analysis was carried out. A Poisson regression model was then performed, adjusting for age, sex, income, education and the diagnosis of a chronic disease condition. A Spearman’s correlation analysis was also carried out between the single and multi item measure of quality of life to assess how well they correlate. Edentulism was observed to be associated with significantly lower levels of SWB among older adults using both the single-item and multiple-item measure (WHOQOL). It, however, showed no association with happiness. Among edentulous respondents, females and those with no formal education reported significantly lower quality of life. The WHOQOL correlated positively and strongly with the single-item measure. Edentulism may not be life threatening and yet it has been shown to have a negative effect on the quality of life of older adult Ghanaians. More emphasis may thus need to be placed on the oral health of the aging population in Ghana to avoid it.
Background. Breast cancer is the leading cause of cancer-related mortality among women in Ghana. Data are limited on the predictors of poor outcomes in breast cancer patients in low-income countries; however, prolonged waiting time has been implicated. Among breast cancer patients who received treatment at Korle Bu Teaching Hospital, this study evaluated duration and factors that influenced waiting time from first presentation to start of definitive treatment. Method. We conducted a hospital-based retrospective study of 205 breast cancer patients starting definitive treatment at Korle Bu Teaching Hospital between May and December 2013. We used descriptive statistics to summarize patient characteristics. Mann–Whitney U and Kruskal–Wallis tests and Spearman rank correlation were performed to examine the patients, health system, and health worker factors associated with median waiting time. Poisson regression was used to examine the determinants of waiting time. Results. The mean age of the patients was 51.1 ± 11.8 years. The median waiting time was 5 weeks. The determinants of waiting time were level of education, age, income, marital status, ethnicity, disease stage, health insurance status, study sites, time interval between when biopsy was requested and when results were received and receipt of adequate information from health workers. Conclusion. A prolonged waiting time to treatment occurs for breast cancer patients in Ghana, particularly for older patients, those with minimal or no education, with lower income, single patients, those with late disease, those who are insured, and who did not receive adequate information from the health workers. Time to obtain biopsy reports should be shortened. Patients and providers need education on timely treatment to improve prognosis.
Background: Oral health surveys aid in estimating the oral health of a population and provide a projection for future oral health care needs. We report the procedures and rationale of a survey carried out to assess the oral health status and risk factors for oral disease among adults in the Greater Accra Region (GAR) of Ghana. The objective was to provide prevalence estimates on dental diseases, oral health behaviour and risk factors, and to establish baseline epidemiological data on the population’s oral health for further research. Methods: This was a population-based cross-sectional study of adults aged 25 years and above. A random, stratified two-stage sampling method was used to select participants from rural and urban communities in three types of districts (Metropolitan, Municipal, Ordinary). A semi- structured questionnaire was used to collect data on socio-demographic characteristics, oral health behaviours and risk factors for oral disease. Anthropometric data and a full-mouth clinical examination was carried out including: soft tissue assessment, tooth count, prosthodontic status, dental caries assessment and periodontal assessment. Results: A total of 729 participants were included in the study with a mean age of 43.9 years (SD 14.6). Majority 425 (61.0%) were females. Though the metropolitan districts had more dental clinics and personnel, along with better health insurance coverage, they had a higher prevalence of missing teeth, retained roots, severe periodontitis and poorer oral health coverage. The findings also show some significant differences in disease prevalence, within the different localities and districts. Conclusions: Availability and access to oral health services is not the most important determinant of good oral health outcomes in this region. We recommend exploring socio-behavioral and cultural factors as well. This study provides district level data to inform policy and guide further research.
Traditionally, non-communicable diseases including musculoskeletal disorders have not been a priority in low-and-middle income countries. The main aim of this paper is to assess age and gender specific burden by estimating the current prevalence of musculoskeletal disorders and associated risk factors in the elderly Ghanaian population. Between May 2007 and June 2008, the World Health Organization conducted a nationwide study on AGEing (SAGE) and Adult Health in Ghana. The study employed a multistage cluster sampling strategy to identify participants by stratifying the population by age and setting. A structured questionnaire was used for data collection. A Poisson regression model was fitted with robust error variance. Prevalence estimates took into account the complex survey design and sampling weights. Statistical significance was considered at p ≤ 0.05 significance level. Statistical analysis was performed with STATA version 11.2. The prevalence rates of chronic back pain and chronic arthritis/joints pain were higher in women than men. The overall crude prevalence’s rates were 28.2 and 10.7 % for chronic back pain and chronic arthritis/joints pain respectively. Substantial differences existed between men and women in terms of socio-economic status, education level and occupational status. Women with primary education had a chronic back pain prevalence of 36.2 % (95 % CI; 29.2, 43.3) and chronic arthritis/joints pain prevalence of 15.8 % (95 % CI; 11.1, 20.6) while their male counterparts had prevalence rates of 29.0 % (95 % CI; 23.4, 34.5) and 9.8 % (95 % CI; 6.4, 13.2) respectively. Residence (rural and urban) did not appear to influence the prevalence of chronic back pain and arthritis/joints pain. Our findings suggest the existence of sex differences in chronic back pain and chronic arthritis/joint pain in the elderly population in Ghana after adjustment for demographic and socio-economic factors. It indicates the existence of inequalities in health between elderly men and women with women suffering more from chronic back pain and chronic arthritis/joints pain.