Prince Michael Amegbor
Prince Michael Amegbor
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Assistant Professor of Global and Environmental Health
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Professional overview
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As a health geographer using big data and a multi-methods approach in his research on the environmental and social determinants of health, Dr. Prince Michael Amegbor is an assistant professor in the Department of Global and Environmental Health. He specializes in visualizing the geospatial distribution of risks and burdens on health that are associated with environmental exposures. He works to unravel how factors such as climate change, air pollution and other environmental exposures contribute to health inequalities, particularly in Sub-Saharan Africa and other geographic contexts (e.g., Denmark).
Prior to his appointment at GPH, Dr. Amegbor was a postdoctoral research fellow with the Big Data Centre for Environment and Health (BERTHA) and the Department of Environmental Science at Aarhus University (Denmark). He is also a guest researcher at Statistics Denmark and has worked as a co-task leader of two European Union Horizon 2020 Projects: REGREEN and ICARUS (Integrated Climate forcing and Air pollution Reduction in Urban Systems).
Dr. Amegbor has published dozens of articles in peer-reviewed scholarly journals including Scientific Report, Health & Place and Applied Geography. He earned his PhD in human geography from Queen’s University in Ontario, and holds an MPhil in development geography from the University of Oslo. He obtained his undergraduate degree in geography and resource development from the University of Ghana, Legon.
Below are links to the results from ICARUS – Favorite Location Study published in the Environment and Planning B: Urban Analytics and City Science journal:
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Education
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PhD, Department of Geography & Planning, Queen’s University, Kingston, OntarioMPhil Developmental Geography, University of Oslo, Oslo, NorwayBA Geography & Resource Development, University of Ghana, Accra
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Honors and awards
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Principal's International Doctoral Award, Queen’s University (201520162017)Quota Scheme Scholarship, Department of Sociology & Human Geography, University of Oslo (201220132014)
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Areas of research and study
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Aging and the Life CourseAlternative MedicineChild HealthComplementary MedicineEnvironmental Public Health ServicesImmigrant HealthPublic Health PolicySocial Determinants of HealthSocio-cultural Identities and Health Seeking BehaviorsTraditional MedicineUrban GeographyViolence and VictimisationWomen's Health
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Publications
Publications
Modelling the spatial risk pattern of dementia in Denmark using residential location data: A registry-based national cohort
AbstractAmegbor, P. M., Sabel, C. E., Mortensen, L. H., & Mehta, A. J. (n.d.).Publication year
2024Journal title
Spatial and Spatio-temporal EpidemiologyVolume
49AbstractDementia is a major global public health concern that is increasingly leading to morbidity and mortality among older adults. While studies have focused on the risk factors and care provision, there is currently limited knowledge about the spatial risk pattern of the disease. In this study, we employ Bayesian spatial modelling with a stochastic partial differential equation (SPDE) approach to model the spatial risk using complete residential history data from the Danish population and health registers. The study cohort consisted of 1.6 million people aged 65 years and above from 2005 to 2018. The results of the spatial risk map indicate high-risk areas in Copenhagen, southern Jutland and Funen. Individual socioeconomic factors and population density reduce the intensity of high-risk patterns across Denmark. The findings of this study call for the critical examination of the contribution of place of residence in the susceptibility of the global ageing population to dementia.Smoke exposure, hemoglobin levels and the prevalence of anemia: a cross-sectional study in urban informal settlement in Southern Ghana
AbstractAppiah-Dwomoh, C., Tettey, P., Akyeampong, E., Amegbor, P., Okello, G., Botwe, P. K., & Quansah, R. (n.d.).Publication year
2024Journal title
BMC public healthVolume
24Issue
1AbstractBackground: 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 (β): 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.Assessing the association between overcrowding and human physiological stress response in different urban contexts: a case study in Salzburg, Austria
AbstractZhang, Z., Měchurová, K., Resch, B., Amegbor, P., & Sabel, C. E. (n.d.).Publication year
2023Journal title
International Journal of Health GeographicsVolume
22Issue
1AbstractOvercrowding in densely populated urban areas is increasingly becoming an issue for mental health disorders. Yet, only few studies have examined the association between overcrowding in cities and physiological stress responses. Thus, this study employed wearable sensors (a wearable camera, an Empatica E4 wristband and a smartphone-based GPS) to assess the association between overcrowding and human physiological stress response in four types of urban contexts (green space, transit space, commercial space, and blue space). A case study with 26 participants was conducted in Salzburg, Austria. We used Mask R-CNN to detect elements related to overcrowding such as human crowds, sitting facilities, vehicles and bikes from first-person video data collected by wearable cameras, and calculated a change score (CS) to assess human physiological stress response based on galvanic skin response (GSR) and skin temperature from the physiological data collected by the wristband, then this study used statistical and spatial analysis to assess the association between the change score and the above elements. The results demonstrate the feasibility of using sensor-based measurement and quantitative analysis to investigate the relationship between human stress and overcrowding in relation to different urban elements. The findings of this study indicate the importance of considering human crowds, sitting facilities, vehicles and bikes to assess the impact of overcrowding on human stress at street level.Early-life air pollution and green space exposures as determinants of stunting among children under age five in Sub-Saharan Africa
AbstractAmegbor, P. M., Sabel, C. E., Mortensen, L. H., Mehta, A. J., & Rosenberg, M. W. (n.d.).Publication year
2023Journal title
Journal of Exposure Science and Environmental EpidemiologyAbstractBackground: Childhood malnutrition is a major public health issue in Sub-Saharan Africa (SSA) and 61.4 million children under the age of five years in the region are stunted. Although insight from existing studies suggests plausible pathways between ambient air pollution exposure and stunting, there are limited studies on the effect of different ambient air pollutants on stunting among children. Objective: Explore the effect of early-life environmental exposures on stunting among children under the age of five years. Methods: In this study, we used pooled health and population data from 33 countries in SSA between 2006 and 2019 and environmental data from the Atmospheric Composition Analysis Group and NASA’s GIOVANNI platform. We estimated the association between early-life environmental exposures and stunting in three exposure periods – in-utero (during pregnancy), post-utero (after pregnancy to current age) and cumulative (from pregnancy to current age), using Bayesian hierarchical modelling. We also visualise the likelihood of stunting among children based on their region of residence using Bayesian hierarchical modelling. Results: The findings show that 33.6% of sampled children were stunted. In-utero PM2.5 was associated with a higher likelihood of stunting (OR = 1.038, CrI = 1.002–1.075). Early-life exposures to nitrogen dioxide and sulphate were robustly associated with stunting among children. The findings also show spatial variation in a high and low likelihood of stunting based on a region of residence. Impact Statement: This study explores the effect of early-life environmental exposures on child growth or stunting among sub-Saharan African children. The study focuses on three exposure windows – pregnancy, after birth and cumulative exposure during pregnancy and after birth. The study also employs spatial analysis to assess the spatial burden of stunted growth in relation to environmental exposures and socioeconomic factors. The findings suggest major air pollutants are associated with stunted growth among children in sub-Saharan Africa.Spatiotemporal analysis of the effect of global development indicators on child mortality
AbstractAmegbor, P. M., & Addae, A. (n.d.).Publication year
2023Journal title
International Journal of Health GeographicsVolume
22Issue
1AbstractBackground: Child mortality continue to be a major public health issue in most developing countries; albeit there has been a decline in global under-five deaths. The differences in child mortality can best be explained by socioeconomic and environmental inequalities among countries. In this study, we explore the effect of country-level development indicators on under-five mortality rates. Specifically, we examine potential spatio-temporal heterogeneity in the association between major world development indicators on under-five mortality, as well as, visualize the global differential time trend of under-five mortality rates. Methods: The data from 195 countries were curated from the World Bank’s World Development Indicators (WDI) spanning from 2000 to 2017 and national estimates for under-five mortality from the UN Inter-agency Group for Child Mortality Estimation (UN IGME).We built parametric and non-parametric Bayesian space-time interaction models to examine the effect of development indicators on under-five mortality rates. We also used employed Bayesian spatio-temporal varying coefficient models to assess the spatial and temporal variations in the effect of development indicators on under-five mortality rates. Results: In both parametric and non-parametric models, the results show indicators of good socioeconomic development were associated with a reduction in under-five mortality rates while poor indicators were associated with an increase in under-five mortality rates. For instance, the parametric model shows that gross domestic product (GDP) (β = − 1.26, [CI − 1.51; − 1.01]), current healthcare expenditure (β = − 0.40, [CI − 0.55; − 0.26]) and access to basic sanitation (β = − 0.03, [CI − 0.05; − 0.01]) were associated with a reduction under-five mortality. An increase in the proportion practising open defecation (β = 0.14, [CI 0.08; 0.20]) an increase under-five mortality rate. The result of the spatial components spatial variation in the effect of the development indicators on under-five mortality rates. The spatial patterns of the effect also change over time for some indicators, such as PM2.5. Conclusion: The findings show that the burden of under-five mortality rates was considerably higher among sub-Saharan African countries and some southern Asian countries. The findings also reveal the trend in reduction in the sub-Saharan African region has been slower than the global trend.Assessing the association between urban features and human physiological stress response using wearable sensors in different urban contexts
AbstractZhang, Z., Amegbor, P. M., Sigsgaard, T., & Sabel, C. E. (n.d.).Publication year
2022Journal title
Health and PlaceVolume
78AbstractPublic open space (POS) plays a significant role in fostering human health and wellbeing in cities. A major limitation of current research on POS and health is that there is little attention on the role of various urban features on people's mental health, in different urban context. This study employed wearable sensors (a wearable camera, Empatica 4 wristband and a GPS device) to measure human physiological responses to urban indicators, objectively. To do this, we selected six kinds of public open space (water area, transit area, green area, commercial area, motor traffic area and mixed office and residential area) and recruited 86 participants for an experimental study. Next, we detected urban features by using Microsoft Cognitive Services (MCS) and calculated a change score to assess human physiological stress responses based on galvanic skin response (GSR) and skin temperature from the wristband. Lastly, we applied random effect model and geographically weighted regression analysis to examine the relationship between urban indicators and human physiological stress responses. The findings show that urban flow (vehicles, bikes and people), waterbodies, greenery and places to sit are associated with the changes of human physiological stress response. The findings indicate that the type of urban context may confound the effect of green and blue urban features; i.e., the effect on physiological stress response can be positive or negative depending on the context. The paper highlights the relevance of considering urban context in research on associations between urban features and stress response.Early-life environmental exposures and anaemia among children under age five in Sub-Saharan Africa: An insight from the Demographic & Health Surveys
AbstractAmegbor, P. M. (n.d.).Publication year
2022Journal title
Science of the Total EnvironmentVolume
832AbstractBackground: Reports show that the majority (60%) of children under age five years in Sub-Saharan Africa are anaemic. Studies in the region have mainly focused on the effect of individual, maternal and household socioeconomic status on the prevalence of anaemia. Currently, there is limited understanding of the association between early-life environmental exposures and anaemia among children in Sub-Saharan Africa. Objective: The study examines the association between early-life environmental exposures and anaemia among children under five in Sub-Saharan Africa. Methods: The study used health and demographic data from the Demographic and Health Survey (DHS) program and environmental data from NASA's Geospatial Interactive Online Visualization ANd aNalysis Infrastructure (GIOVANNI) and Atmospheric Composition Analysis Group. Three exposure periods were defined for the study, namely: in-utero, post-utero and cumulative life exposures. Multilevel mixed-effect models were used to assess the associations between environmental exposures and anaemia in each exposure period. Results: The findings show that 63% of children in the study were anaemic. It also reveals that mean PM 2.5 exposure for in-utero (34.93 μgm−3), post-utero (35.23 μgm−3) and cumulative exposure (35.08 μgm−3) were seven times higher than the new air quality guideline WHO recommended. A 10 μgm−3 increase in in-utero, post-utero and cumulative PM 2.5 exposures was associated with 4% to 5% increase in the prevalence of anaemia among children. A 10ppbv increase in in-utero, post-utero and cumulative carbon monoxide exposures was associated with 1% increase in the prevalence of anaemia among children. The spatial risk distribution maps show that socioeconomic factors modify the spatial risk distribution pattern. Conclusion: The findings of the study suggest that early-life exposure to ambient air pollution is significantly associated with anaemia among children in Sub-Saharan Africa. Thus, policies aimed at addressing air quality should be incorporated into targeted interventions for anaemia among children in the region.Effect of individual, household and regional socioeconomic factors and PM2.5 on anaemia: A cross-sectional study of sub-Saharan African countries
AbstractAmegbor, P. M., Borges, S. S., Pysklywec, A., & Sabel, C. E. (n.d.).Publication year
2022Journal title
Spatial and Spatio-temporal EpidemiologyVolume
40AbstractThere is limited knowledge on the effect of contextual and environmental factors on the risk of anaemia, as well as the spatial distribution of anaemia in the Sub-Saharan Africa region. In this study, we used multi-country data from the Demographic & Health survey (DHS) with 270,011 observations and PM2.5 data from NASA, applied to the spatial risk pattern of anaemia in the SSA region. The prevalence of anaemia amongst women (41%) was almost twice that of men (22%). A Bayesian hierarchical model showed that individual household, neighbourhood and regional socioeconomic factors were significantly associated with the likelihood of being anaemic. 1 μg/m3 increase in cumulative lifetime PM2.5 exposure accounted for 1% (β = 0.011, CI = 0.008 – 0.015) increase in the likelihood of being anaemic. The results suggest the need for a multidimensional approach to tackle anaemia in the Sub-Saharan African region and identify high-risk areas for target intervention policies or programs.Health and socioeconomic risk factors for overnight admission among older adults in Ghana
AbstractAmegbor, P. M., & Rosenberg, M. W. (n.d.).Publication year
2022Journal title
Journal of Population AgeingVolume
15Issue
4Page(s)
961-979AbstractGhana’s older adult population is growing significantly. However, there is limited knowledge or research on the effect of place, chronic health conditions, and socioeconomic status on the risk of overnight hospital admission or the frequency of hospitalisation among older adults in Ghana. Using the WHO SAGE (Wave 1) data, we examine the influence of place of residence, chronic health conditions, and socioeconomic status on overnight hospital admission, as well as, frequency of hospital admission among older adults in Ghana. Multivariate logistic regression and zero-inflated negative binomial regression models were used to study the influence of place, health conditions, and socioeconomic status on overnight hospital admission. The findings show that older adults with functional limitations and chronical health conditions were more likely to have experienced an overnight hospital admission. The expected number of overnight hospital admission was greater among chronically ill older adults than their healthy counterparts. However, the findings show that socioeconomically vulnerable older adults were less likely to have overnight hospital admission and they had lower admission rates. The presence of chronic health conditions is associated with overnight hospital admission, while poor socioeconomic status may imply underutilization or limited access to healthcare for the socioeconomically vulnerable.Individual and contextual predictors of overweight or obesity among women in Uganda: a spatio-temporal perspective
AbstractAmegbor, P. M., Yankey, O., Davies, M., & Sabel, C. E. (n.d.).Publication year
2022Journal title
GeoJournalVolume
87Issue
5Page(s)
3793-3813AbstractBeing overweight and obesity are emerging public health issues in sub-Saharan Africa. Currently, there is limited knowledge on the temporal trend of the effect of socioeconomic factors and air quality on being overweight or obesity. Using data from the Ugandan Demographic and Health Survey and NASA’s Socioeconomic Data and Applications Center (SEDAC), we examined the spatio-temporal effect of individual and contextual factors on overweight and obesity among women in Uganda using cross-sectional data on 15,655 women in Uganda. We employed multilevel mixed-effect analysis and Bayesian hierarchical spatial models to examine the effect of individual socioeconomic status, contextual socioeconomic factors and air quality on women’s risk of being overweight or obese as well as investigate spatial heterogeneity in the association. The prevalence of overweight/obesity for the study periods were 17.23% (2000/2001), 15.36% (2006), 19.36% (2011) and 21.93% (2016). The result from the multilevel analysis shows change in the directions of the association between individual factors (educational status and household wealth) and overweight or obese over the years. Women with secondary education were 1.514 times (p = 0.002) more likely to be overweight or obese in the 2000/2001 group but 0.655 times (p = 0.007) less likely to be overweight or obese in the 2016 group. It also reveals temporal consistency in the effect of the air pollutant PM2.5 on overweight or obese. The spatial models reveal spatial heterogeneity in the association between district-level factors and the proportion of overweight or obese women. The findings suggest improving women’s socioeconomic status and air quality could reduce the rising obesity epidemic in Ugandan women.Assessing the current integration of multiple personalised wearable sensors for environment and health monitoring
AbstractZhang, Z., Amegbor, P. M., & Sabel, C. E. (n.d.).Publication year
2021Journal title
SensorsVolume
21Issue
22AbstractThe ever-growing development of sensor technology brings new opportunities to investigate impacts of the outdoor environment on human health at the individual level. However, there is limited literature on the use of multiple personalized sensors in urban environments. This review paper focuses on examining how multiple personalized sensors have been integrated to enhance the monitoring of co-exposures and health effects in the city. Following PRISMA guidelines, two reviewers screened 4898 studies from Scopus, Web of Science, ProQuest, Embase, and PubMed databases published from January 2010 to April 2021. In this case, 39 articles met the eligibility criteria. The review begins by examining the characteristics of the reviewed papers to assess the current situation of integrating multiple sensors for health and environment monitoring. Two main challenges were identified from the quality assessment: choosing sensors and integrating data. Lastly, we propose a checklist with feasible measures to improve the integration of multiple sensors for future studies.Determinants of the type of health care sought for symptoms of Acute respiratory infection in children: analysis of Ghana demographic and health surveys
AbstractDanquah, L., Amegbor, P. M., & Ayele, D. G. (n.d.).Publication year
2021Journal title
BMC PediatricsVolume
21Issue
1AbstractBackground: Globally, acute respiratory infection (ARI) is a leading cause of infant and childhood morbidity and mortality. Currently, it is estimated that 50 million cases of childhood ARI are untreated. In this study, we identified determinants of the type of treatment sought for symptoms of childhood acute respiratory infection (ARI), including non-treatment, amongst a nationally representative sample of children under five years in Ghana. Methods: In total, 1 544 children were studied by a secondary analysis of pooled survey data from the 1993, 1998, 2003, 2008, and 2014 Ghana Demographic and Health Surveys (GDHS). Cross-tabulations, chi-square, multinomial logistic regression, and Bayesian hierarchical spatial logistic regression analyses were used to identify relationships between the type of treatment sought and maternal socio-economic and household characteristics. Results: Seeking medical care was significantly associated with child age (RRR= 1.928, 95 % CI 1.276 – 2.915), maternal employment status (RRR = 1.815, 95 % CI 1.202 – 2.740), maternal health insurance status, (RRR = 2.618, 95 % CI 1.801 – 3.989), children belonging to middle (RRR = 2.186, 95 % CI 1.473 – 3.243), richer (RRR = 1.908, 95 % CI 1.145 – 3.180) and richest households (RRR = 2.456, 95 % CI 1.363 – 4.424) and the 1998 survey period (RRR = 0.426, 95 % CI 0.240 – 7.58). Seeking self-care or visiting a traditional healer was significantly associated with maternal educational status (RRR = 0.000, 95 % CI 0.000 – 0.000), and the 1998 (RRR= 0.330, 95 % CI 0.142 – 0.765), 2003 (RRR= 0.195, 95 % CI 0.071 – 0.535), 2008 (RRR= 0.216, 95 % CI 0.068 – 0.685) and 2014 (RRR= 0.230, 95 % CI 0.081 – 0.657) GDHS periods. The probability that the odds ratio of using medical care exceeded 1 was higher for mothers/caregivers in the Western, Ashanti, Upper West, and Volta regions. Conclusions: Government policies that are aimed at encouraging medical care-seeking for children with ARI may yield positive results by focusing on improving maternal incomes, maternal NHIS enrolment, and maternal household characteristics. Improving maternal education could be a positive step towards addressing challenges with self-care or traditional healing amongst children with ARI.Examining Spatial Variability in the Association Between Male Partner Alcohol Misuse and Intimate Partner Violence Against Women in Ghana: A GWR Analysis
AbstractAmegbor, P. M., Yankey, O., Rosenberg, M. W., & Sabel, C. E. (n.d.).Publication year
2021Journal title
Journal of Interpersonal ViolenceVolume
36Issue
23Page(s)
NP12855-NP12874AbstractGlobally, it is estimated that about 30% of ever-partnered women have experienced some form of intimate partner violence (IPV)—physical assault, sexual assault, or emotional abuse. The prevalence of IPV in sub-Saharan Africa is considerably higher than the global estimate. In Ghana, it is estimated that 24% of women have experienced physical and/or sexual IPV in their lifetime. Studies point to the association between alcohol misuse by intimate male partners and violence against women. However, there has been no consideration for potential spatial variation or heterogeneity in this association. Using estimates from the 2008 Ghana Demographic and Health Survey Data, we employed geographically weighted regression (GWR) analysis to examine spatial variations in the relationship between male partner’s alcohol misuse and IPV among women in Ghana. We fitted three models to assess the relationship using a step-wise approach. The first model has alcohol misuse as the only predictor, whereas the second model included other male partner characteristics, such as post-secondary education and employment status. The final introduced female characteristics as additional covariates. The result of the GWR analysis shows that the effect of alcohol misuse on IPV is elevated in the south-western part of Ghana. The findings suggest the potential influence of place-based or contextual factors on the association between alcohol misuse and women’s exposure to IPV.Social Frailty and Depression Among Older Adults in Ghana: Insights from the WHO SAGE Surveys
AbstractAmegbor, P. M., Kuuire, V. Z., Yawson, A. E., Rosenberg, M. W., & Sabel, C. E. (n.d.).Publication year
2021Journal title
Research on AgingVolume
43Issue
2Page(s)
85-95AbstractIn this study, we examine the association between social frailty and depression among older adults in Ghana over time. We employed longitudinal data analysis to examine the association between social frailty, socioeconomic status and depression using data from the WHO-SAGE survey. Our descriptive and cross-tabulation analyses show that the prevalence of depression and social frailty among older adults decreased considerably in 2014/2015 compared to 2007/2008. The finding also reveals a huge reduction in social frailty among older adults in northern Ghana–the most deprived regions in Ghana–compared to those in southern Ghana. The multivariate panel data analysis reveals that depression was significantly associated with social isolation, financial needs, and physical needs. The findings suggest an over time decline in social frailty and depression among older adults, as well as, reduction in regional differences in social frailty and depression among older adults in Ghana.The effect of sociodemographic factors on the risk of poor mental health in Akron (Ohio): A Bayesian hierarchical spatial analysis
AbstractYankey, O., Amegbor, P. M., & Lee, J. (n.d.).Publication year
2021Journal title
Spatial and Spatio-temporal EpidemiologyVolume
38AbstractWe examined the association of sociodemographic factors on mental health risk within the city of Akron (Ohio). A Spatial Bayesian Hierarchical model was used in this study. We found that the risk of poor mental health was positively associated with the proportion of people lacking sufficient sleep (RR = 0.42, 95% CI:0.22-0.62), the percentage of people below poverty (RR = 0.12, 95% CI: 0.09, 0.16), and the percentage of married couples (RR = 0.02, 95% CI: -0.05, 0.08). On the contrary, the percentage of female population (RR = -0.06, 95% CI: -0.13, 0.01), the percentage of the black population (RR = -0.05, 95% CI: -0.08, -0.02), and the college-educated population (RR = -0.03, 95% CI: -0.09, 0.04) was negatively associated with the risk of poor mental health. We also found that the sociodemographic variables have spatially varying effects across different neighborhoods. Future studies will examine the joint spatial effect of poor mental health risk and suicide ideation in the study area.The effect of socioeconomic and environmental factors on obesity: A spatial regression analysis
AbstractYankey, O., Amegbor, P. M., & Essah, M. (n.d.).Publication year
2021Journal title
International Journal of Applied Geospatial ResearchVolume
12Issue
4Page(s)
58-74AbstractThis paper examined the effect of socio-economic and environmental factors on obesity in Cleveland (Ohio) using an OLS model and three spatial regression models: spatial error model, spatial lag model, and a spatial error model with a spatially lagged response (SEMSLR). Comparative assessment of the models showed that the SEMSLR and the spatial error models were the best models. The spatial effect from the various spatial regression models was statistically significant, indicating an essential spatial interaction among neighboring geographic units and the need to account for spatial dependency in obesity research. The authors also found a statistically significant positive association between the percentage of families below poverty, Black population, and SNAP recipient with obesity rate. The percentage of college-educated had a statistically significant negative association with the obesity rate. The study shows that health outcomes such as obesity are not randomly distributed but are more clustered in deprived and marginalized neighborhoods.Understanding unmet health-care need among older Ghanaians: A gendered analysis
AbstractKuuire, V. Z., Tenkorang, E. Y., Amegbor, P. M., & Rosenberg, M. (n.d.).Publication year
2021Journal title
Ageing and SocietyVolume
41Issue
8Page(s)
1748-1769AbstractHealth insurance schemes are important for bridging gaps in health-care needs between the rich and poor, especially in contexts where poverty is higher among seniors (persons aged 65 years and above). In this study we examined (a) gender-based predictors of unmet health-care need among seniors and (b) whether access was influenced by wealth status (measured by income quintiles). Gender-specific negative log-log regression models were fitted to data from the Study on Global Ageing and Health to examine associations between unmet health-care need and health insurance status controlling for theoretically relevant covariates. Insurance status was an important determinant of men and women's unmet health-care need but the relationship was moderated by income quintile for women and not men. While occupation was important for men, religion, marital status and income quintile were significantly associated with women's unmet health-care need. Based on the observed gender differences, we recommend the implementation of programmes aimed at improving the economic situation of older people, particularly women.Urban Health and Wellbeing
AbstractSabel, C. E., Amegbor, P. M., Zhang, Z., Chen, T. H. K., Poulsen, M. B., Hertel, O., Sigsgaard, T., Horsdal, H. T., Pedersen, C. B., & Khan, J. (n.d.). In Urban Book Series (1–).Publication year
2021Page(s)
259-280AbstractThis chapter explores how the Internet of Things and the utilization of cutting-edge information technology are shaping global research and discourse on the health and wellbeing of urban populations. The chapter begins with a review of smart cities and health and then delves into the types of data available to researchers. The chapter then discusses innovative methods and techniques, such as machine learning, personalized sensing, and tracking, that researchers use to examine the health and wellbeing of urban populations. The applications of these data, methods, and techniques are then illustrated taking examples from BERTHA (Big Data Centre for Environment and Health) based at Aarhus University, Denmark. The chapter concludes with a discussion on issues of ethics, privacy, and confidentiality surrounding the use of sensitive and personalized data and tracking or sensing individuals across time and urban space.Variations in Emotional, Sexual, and Physical Intimate Partner Violence Among Women in Uganda: A Multilevel Analysis
AbstractAmegbor, P. M., & Pascoe, L. (n.d.).Publication year
2021Journal title
Journal of Interpersonal ViolenceVolume
36Issue
15Page(s)
NP7868-NP7898AbstractEvidence shows that a significant proportion of ever-partnered women suffer some form of intimate partner violence (IPV) perpetuated by male partners. The prevalence of IPV in sub-Saharan African countries is considerably higher than global estimates. Although existing studies show the effect of women’s and intimate male partner’s characteristics on IPV, knowledge on how these factors increase or reduce women’s risk to specific types of IPV is limited. Using the 2016 Ugandan Demographic and Health Survey (UDHS), we examine regional variations in women’s and intimate male partner’s characteristics and their effect on emotional, sexual, and physical violence perpetuated by men and experienced by women in Uganda. The result shows that women’s educational status is a significant predictor of all forms of IPV, whereas other characteristics, such as employment and housing ownership, have differential effects on specific types of IPV. Less educated women were more likely to experience emotional, sexual, and physical violence. Alcohol abuse was a significant determinant of men perpetuating all types of IPV; other male characteristics had differential effects on specific types of IPV. Male partners who abuse alcohol “often” and “sometimes” were more likely to commit acts of emotional, sexual, and physical violence against their female intimate partners. The findings also show that ~5%, ~8%, and ~2% of the variance in emotional, sexual, and physical violence (respectively; in the final models) are attributable to regional differences. The findings suggest the need for interventions aimed at increasing women’s access to higher education, working with men and boys to reduce the occurrence of alcohol abuse and address harmful constructions of masculinity, and promoting gender equality among men as well as women.Determinants of Overnight Stay in Health Centres and Length of Admission: A Study of Canadian Seniors
AbstractAmegbor, P. M., Plumb, K. B., & Rosenberg, M. W. (n.d.).Publication year
2020Journal title
Canadian Journal on AgingVolume
39Issue
4Page(s)
533-544AbstractThis 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.Effect of cognitive and structural social capital on depression among older adults in Ghana: A multilevel cross-sectional analysis
AbstractAmegbor, P. M., Braimah, J. A., Adjaye-Gbewonyo, D., Rosenberg, M. W., & Sabel, C. E. (n.d.).Publication year
2020Journal title
Archives of Gerontology and GeriatricsVolume
89AbstractEvidence from existing studies suggests social capital has mixed effects on depression and other common mental disorders. There is little knowledge of the possible association between social capital and depression among the growing older population in sub-Saharan Africa. This study investigates the effect of cognitive social capital (trust and sense of safety) and structural social capital (social participation or engagement in social activities) on depression among older adults in Ghana. Utilizing multilevel mixed-effect analysis, we investigate the effect of individual-level and neighborhood-level social capital (cognitive and structural) on depression using data from the World Health Organization Study on Global Ageing and Adult Health (WHO-SAGE) survey (Wave 1). The findings show that at an individual level, older adults who felt safe at home were less likely to have depression. We observed mixed results for elements of structural social capital at the individual level. Older adults who frequently engaged in club or group meetings, worked with neighbors and engaged in social outings were more likely to have depression; while attending public meetings and socializing with co-workers were associated with reduced likelihood of having depression. At the neighborhood level, increased trust in neighbors was associated with an increased likelihood of having depression (OR = 1.01, p < 0.05) while higher levels of neighborhood safety and structural social capital were associated with a reduced likelihood of having depression. The findings suggest that the differential associations between elements of social capital and depression may be the result of contextual factors.Examining the Effect of Geographic Region of Residence on Childhood Malnutrition in Uganda
AbstractAmegbor, P. M., Yankey, O., & Sabel, C. E. (n.d.).Publication year
2020Journal title
Journal of Tropical PediatricsVolume
66Issue
6Page(s)
598-611AbstractObjectives: In our study, we examine how geographic region of residence may predict childhood malnutrition, expressed as stunting, wasting and underweight, among children under the age of 5 years in Uganda. Methods: Using data from the 2016 Uganda Demographic and Health Survey, we performed an incremental multivariate multilevel mixed-effect modelling to examine the effect of a child, parental and household factors on the association between region of residence and each indicator of childhood malnutrition. Results: Approximately 28%, 3% and 9% of children under age 5 suffered from stunting, wasting and underweight, respectively. The bivariate result shows that the proportion of children suffering from stunting and underweight was relatively lower in the Kampala region compared with the other regions. With the exception of the Northern region (6.44%), wasting was higher (4.12%) among children in the Kampala region. Children in the other regions were more likely to experience stunting and underweight. When controlling for child, parent and household factors, children in the other regions were less likely to suffer from underweight and stunting, compared with those in Kampala region. Children in the other regions, except the Northern region, were less likely to be wasted compared with those in Kampala region. Conclusion: Our finding suggests that child, parental and household characteristics have effects on the association between region of residence and childhood malnutrition. Addressing individual and household socioeconomic disparities may be vital in tackling regional differences in childhood malnutrition.Multilevel and spatial analyses of childhood malnutrition in Uganda: examining individual and contextual factors
AbstractAmegbor, P. M., Zhang, Z., Dalgaard, R., & Sabel, C. E. (n.d.).Publication year
2020Journal title
Scientific reportsVolume
10Issue
1AbstractIn this study, we examine the concepts of spatial dependence and spatial heterogeneity in the effect of macro-level and micro-level factors on stunting among children aged under five in Uganda. We conducted a cross-sectional analysis of 3624 Ugandan children aged under five, using data from the 2016 Ugandan Demographic and Health Survey. Multilevel mixed-effect analysis, spatial regression methods and multi-scale geographically weight regression (MGWR) analysis were employed to examine the association between our predictors and stunting as well as to analyse spatial dependence and variability in the association. Approximately 28% of children were stunted. In the multilevel analysis, the effect of drought, diurnal temperature and livestock per km2 on stunting was modified by child, parent and household factors. Likewise, the contextual factors had a modifiable effect on the association between child’s sex, mother’s education and stunting. The results of the spatial regression models indicate a significant spatial error dependence in the residuals. The MGWR suggests rainfall and diurnal temperature had spatial varying associations with stunting. The spatial heterogeneity of rainfall and diurnal temperature as predictors of stunting suggest some areas in Uganda might be more sensitive to variability in these climatic conditions in relation to stunting than others.Predictors of Unmet Traditional, Complementary and Alternative Medicine Need Among Persons of Sub-Saharan African Origin Living in the Greater Toronto Area
AbstractAmegbor, P. M., & Rosenberg, M. W. (n.d.).Publication year
2020Journal title
Journal of Immigrant and Minority HealthVolume
22Issue
5Page(s)
1031-1038AbstractOur study seeks to examine how chronic health status, insurance coverage and socioeconomic factors predict unmet traditional, complementary and alternative medicine (TCAM) needs among immigrants from sub-Saharan African origin living in the Greater Toronto Area (GTA). The data for the study comes from a cross-sectional questionnaire survey of 273 sub-Saharan African immigrants living in the GTA. ~ 21% of respondents surveyed had unmet TCAM needs in the 12-month period prior to the survey. Persons with chronic health conditions, lower socioeconomic status, and those with previous history of TCAM use before immigrating were more likely to have unmet TCAM need. The study suggests that the current TCAM healthcare environment in the GTA limits that ability of sub-Saharan immigrants to meet their healthcare needs, especially persons in most need of such treatments—persons with chronic health conditions and those of lower socioeconomic background.Modern or traditional health care? Understanding the role of insurance in health-seeking behaviours among older Ghanaians
AbstractAmegbor, P. M., Kuuire, V. Z., Bisung, E., & Braimah, J. A. (n.d.).Publication year
2019Journal title
Primary health care research & developmentVolume
20Page(s)
e71AbstractAIM: 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.