Smoke exposure, hemoglobin levels and the prevalence of anemia: a cross-sectional study in urban informal settlement in Southern Ghana.

BACKGROUND: In sub-Saharan African cities, more than half of the population lives in informal settlements. These settlements are close to smoky dumpsites, industrial plants, and polluted roads. Furthermore, polluting fuels remain their primary sources of energy for cooking and heating. Despite evidence linking smoke and its components to anaemia, none of these studies were conducted on populations living in urban informal settlements. This study investigated the risks of anemia/mean Haemoglobin (HB) levels in an informal settlement in Accra, Ghana. Exposure to smoke was examined across various sources, encompassing residences, neighborhoods, and workplaces. METHODS: The study was a facility-based cross-sectional design among residents at Chorkor, an informal settlement in the Greater Accra region of Ghana. A questionnaire was administered at a community hospital during an interview to gather data on sources of smoke exposure in the household, in the neighbourhood, and in the workplace. A phlebotomist collected blood samples from the participants after the interview to assess their anaemia status. RESULTS: The population (n = 320) had a high prevalence of anemia, with 49.1% of people fitting the WHO's definition of anemia, while the average HB level was 12.6 ± 2.1 g/dL. Anemia was associated with the number of different types of waste burnt simultaneously [(1 or 2: prevalence ratio (PR): 95% confidence interval (CI), 1.14, 0.99-1.28: 3+: 1.16, 1.01-1.63, p-for-trend = 0.0082)], fuel stacking [(mixed stacking: 1.27, 1.07-1.20: dirty stacking:1.65, 1.19-2.25, p-for-trend = 0.0062)], and involvement in fish smoking (1.22, 0.99-1.06). However, the lower limit of the CIs for number of different forms of garbage burned simultaneously and engagement in fish smoking included unity. Reduced mean HB levels were associated with the number of different types of waste burnt simultaneously [(1 or 2: regression coefficient (ß): 95% confidence interval (CI), -0.01, -0.97- -0.99: 3+: -0.14, -0.77- -0.05)], current smoker [(yes, almost daily: -1.40, -2.01- -0.79: yes, at least once a month: -1.14, -1.79- -0.48)], Second-Hand-Smoking (SHS) (yes, almost daily: -0.77, -1.30- -0.21), fuel stacking [(mixed stacking-0.93, -1.33-0.21: dirty stacking-1.04, -1.60- -0.48)], any smoke exposure indicator in the neighbourhood (-0.84, -1.43- -0.25), living close to a major road (-0.62, -1.09- -0.49), and fish smoking (-0.41,-0.93- -0.12). CONCLUSION: Although the cross-sectional design precludes causality, smoke exposure was associated with mean HB levels and anaemia among populations living in informal settlements.

Determinants of Overnight Stay in Health Centres and Length of Admission: A Study of Canadian Seniors.

This study examines the influence of chronic health conditions and socio-economic status on overnight admission and length of stay among Canadian seniors. Incremental multivariate logistic and zero-inflated negative binomial regression models assessed the relationship between selected predictors, overnight admission, and duration of stay. The findings show that all chronic health conditions and socio-economic factors examined were significantly associated with overnight hospital admission. However, seniors with cardiovascular health conditions, the very old, and seniors living in lower-income households had a greater risk of longer stays. Canadian seniors diagnosed with hypertension, cancer, diabetes, and stroke had greater risk of longer overnight hospital stays. Seniors aged 75 to 79 years, 80 years or older, and those living in lower-income households (≤ $39,999) were more likely to have a longer overnight hospital stay. Findings suggest that improving seniors' health and socio-economic status may reduce the risk of overnight admission and longer stays of hospitalisation.

Modern or traditional health care? Understanding the role of insurance in health-seeking behaviours among older Ghanaians.

AIM: This paper examined the association between wealth and health insurance status and the use of traditional medicine (TM) among older persons in Ghana. BACKGROUND: There have been considerable efforts by sub-Saharan African countries to improve access to primary health care services, partly through the implementation of risk-pooling community or national health insurance schemes. The use of TM, which is often not covered under these insurance schemes, remains common in many countries, including Ghana. Understanding how health insurance and wealth influence the use of TM, or otherwise, is essential to the development of equitable health care policies. METHODS: The study used data from the first wave of the World Health Organisation's Study of Global Ageing and Adult Health conducted in Ghana in 2008. Descriptive statistics and negative loglog regression models were fitted to the data to examine the influence of insurance and wealth status on the use of TM, controlling for theoretically relevant factors. FINDINGS: Seniors who had health insurance coverage were also 17% less likely to frequently seek treatment from a TM healer relative to the uninsured. For older persons in the poorest income quintile, the odds of frequently seeking treatment from TM increased by 61% when compared to those in the richest quintile. This figure was 46%, 62% and 40% for older persons in poorer, middle and richer income quintiles, respectively, compared to their counterparts in the richest income quintile. CONCLUSION: The findings indicate that TM was primarily used by the poor and persons who were not enrolled in the National Health Insurance Scheme. TM continues to be a vital health care resource for the poor and uninsured older adults in Ghana.