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Background: 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., (© 2023. The Author(s), under exclusive licence to Springer Nature America, Inc.)

Background: The caregiving scholarship widely acknowledges informal caregivers' contributions to maintaining older adults' health and well-being. However, informal caregivers encounter economic, physical, social, financial and psychological challenges when caring for older adults. The caregiving literature has shown variations in caregiving intensity and motivation between rural and urban informal caregivers of older adults. This situation is likely to result in rural-urban disparities in caregiver burden. However, the literature on predictors of caregiver burden is more focused on demographic, socio-economic, caregiving and health-related factors with very little attention to geographical dynamics. For this reason, the effects of demographic, socio-economic, caregiving, and health-related factors on the variations in caregiver burden between rural and urban informal caregivers of older adults are yet to be known in the sub-Saharan African context, including Ghana. Notably, the impact of geographical location on caregiver burden is mainly missing in the informal caregiving literature in Ghana. Situated within the stress process model, we determine the association between geographical location and caregiver burden among informal caregivers of older adults in Ghana., Methods: This study employed data from a large cross-sectional survey on informal caregiving, health, and healthcare among caregivers of older adults aged 50 years or above (N = 1,853) in Ghana. We selected the World Health Organization Impact of Caregiving Scale to measure caregiver burden. Generalized multivariable linear regression models were employed to determine the association between geographical location and caregiver burden among informal caregivers of older adults. We reported beta values and standard errors with significance levels of 0.05 or less., Results: The results showed that rural informal caregivers of older adults significantly have a decreased caregiver burden compared to urban informal caregivers (β = -1.64; SE = 0.41). Also, participants across all the self-rated health categories (poor/very poor: β = 12.63; SE = 1.65; fair: β = 9.56; SE = 1.07; good: β = 11.00; SE = 0.61, very good: β = 7.03; SE = 0.49) have a significantly increased caregiver burden for the full sample and for both rural (poor/very poor: β = 13.88; SE = 2.4; fair: β = 6.11; SE = 1.62; good: β = 9.97; SE = 0.96, very good: β = 6.06; SE = 0.71) and urban (poor/very poor: β = 11.86; SE = 2.25; fair: β = 12.33; SE = 1.42; good: β = 11.80; SE = 0.79, very good: β = 7.90; SE = 0.67) participants. This study further revealed that participants with no financial support needs reported a decreased caregiver burden compared to those with financial support needs for the full sample (β = -2.92, p-value < 0.01) and for both rural (β = -3.20; p-value < 0.01) and urban (β =-2.70; p-value < 0.01) participants., Conclusion: The findings from this study underscore geographical location differences in caregiver burden among informal caregivers of older adults in Ghana. Given these findings, the need to consider geographical location variations in providing welfare and health support programs to lessen caregiver burden among informal caregivers of older adults is welcomed. In line with the stress process model, such welfare and health programs should consider background, context, and stressor factors that contribute to variations in caregiver burden between rural and urban informal caregivers of older adults in Ghana and other sub-Saharan African countries., (© 2024. The Author(s).)

The impact of building morphology on building energy consumption has been extensively studied. However, research on how 3D building morphology affects energy consumption at a macroscopic scale is lacking. In this study, we measured the mean building height (BH), mean building volume (BV), and mean European nearest neighbor distance (MENN) of the city to quantify the 3D building morphology. We then used a spatial regression model to analyze the quantitative impact of urban 3D building morphology on per capita electricity consumption (PCEC). Results indicate that at the macroscopic scale of the city, the BH and the MENN have a significant positive impact on the PCEC, while the BV has a significant negative impact on the PCEC. Moreover, the inclusion of the 3D building morphology greatly improves the model's ability to explain building energy efficiency, surpassing the impact of traditional economic factors. Considering the 3D building morphology indicators together, buildings with a lower height, a larger volume, and a more compact 3D morphology have greater potential for energy savings and are more conducive to electricity conservation. This study offers valuable insights for the energy-efficient arrangement of buildings., (© 2024. The Author(s).)

The increasing number of older adult migrants is rapidly changing regional demographic and social structures in China. There is an urgent need to understand the spatial patterns and factors that influence older adults to migrate, especially the role of environmental health. However, this issue has been under-studied. This study focused on intra-provincial and inter-provincial older adult migrants as research subjects, estimated their spatial concentration index based on the iterative proportional fitting approach, and explored the factors influencing their migration using the GeoDetector Model. The results showed the following: (1) In 2015, more than 76% of inter-provincial older adult migrants were distributed in Eastern China, and most intra-provincial older adult migrants were scattered in sub-provincial cities. (2) Compared to factors relating to economy and amenities, environmental health by itself played a relatively weak role in the migration of older adults, but the interaction among environmental health, economy, and amenities was a key driving force of older adult migration. (3) There were significant differences in the dominant environmental health factors between inter-provincial migration and intra-provincial migration, which were temperature and altitude, respectively. Our findings can help policymakers focus on the composition of older adult migrants based on urban environmental health characteristics and rationally optimize older adult care facilities to promote supply-demand matching., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Wang, Gao, Liu, Wang and Rosenberg.)

Background: Similar to many developing countries, caregiver burden remains high in Ghana which may affect informal caregivers of older adults' health-related quality of life (HRQoL). However, no study has examined the association between caregiver burden and HRQoL among informal caregivers of older adults in Ghana to date. Understanding this association may well help to inform health and social policy measures to improve HRQoL among  informal caregivers of older adults in Ghana. Situated within a conceptual model of HRQoL, the purpose of this study was to examine the relationship  between caregiver burden and HRQoL among informal caregivers of older adults in Ghana., Methods: We obtained cross-sectional data from informal caregiving, health, and healthcare (N = 1853) survey conducted between July and September 2022 among caregivers (≥ 18 years) of older adults (≥ 50 years) in the Ashanti Region of Ghana. The World Health Organization Impact of Caregiving Scale was used to measure caregiver burden. An 8-item short form Health Survey scale developed by the RAND Corporation and the Medical Outcomes Study was used to measure HRQoL. Generalized Linear Models were employed to estimate the association between caregiver burden and HRQoL. Beta values and standard errors were reported with a significance level of  0.05 or less., Results: The mean age of the informal caregivers was 39.15 years and that of the care recipients was 75.08 years. In our final model, the results showed that caregiver burden was negatively associated with HRQoL (β = - .286, SE = .0123, p value = 0.001). In line with the conceptual model of HRQoL, we also found that socio-economic, cultural, demographic and healthcare factors were significantly associated with HRQoL. For instance, participants with no formal education (β = -1.204, SE= .4085, p value = 0.01), those with primary level of education (β = -2.390, SE= .5099, p value = 0.001) or junior high school education (β = -1.113, SE= .3903, p value= 0.01) had a significantly decreased HRQoL compared to those with tertiary level of education. Participants who were between the ages of 18-24 (β = 2.960, SE= .6306, p value=0.001), 25-34 (β = 1.728, SE= .5794, p value = 0.01) or 35-44 (β = 1.604, SE= .5764, p value= 0.01) years significantly had increased HRQoL compared to those who were 65 years or above. Also, participants who did not utilize healthcare services in the past year before the survey significantly had increased HRQoL compared to those who utilized healthcare services five or more times in the past year (β = 4.786, SE=. 4610, p value= 0.001)., Conclusion: Consistent with our hypothesis, this study reported a significant negative association between caregiver burden and HRQoL. Our findings partially  support the conceptual model of HRQoL used in this study. We recommend that health and social policy measures to improve HRQoL among  informal caregivers of older adults should consider caregiver burden as well as other significant socio-economic, cultural, demographic, and healthcare factors., (© 2024. The Author(s).)