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This study aimed to assess the moderating influence of neighborhood walkability on the association between physical activity (PA) and mental health among older African academics aged 50 years or more in cities with social distancing protocols in response to the Coronavirus disease 2019 (COVID-19). A total of 905 volunteer academics participated in the study. A hierarchical linear regression analysis was employed to conduct sensitivity analyses and test the study hypotheses. After controlling for sex, education and age, there was a positive association between PA and mental health. Neighborhood walkability moderated the relationship between PA and mental health, which suggests that during the pandemic PA was associated with higher mental health scores in more walkable neighborhoods. The study concludes that PA was beneficial to mental health in the social distancing context and was associated with higher mental health in more walkable neighborhoods, particularly in a social distancing context. [ABSTRACT FROM AUTHOR]

This study examined the moderating influences of active social networks (ASN), sedentary social networks (SSN) and ASN lost on the relationship between neighbourhood walkability and social activity in community-dwelling older adults aged 60 years or more in Accra, Ghana. A total of 863 individuals participated after G*Power 3.1 was utilized to calculate the minimum sample size. We analysed the data with Pearson's correlation test and hierarchical linear regression models. A sensitivity analysis was conducted to select the ultimate confounding variables. The study found a positive influence of neighbourhood walkability on social activity after the covariate adjustment (β = 0.18; t  =   5.2; p  = 0.000). The positive influence of neighbourhood walkability on social activity was significantly reduced by ASN lost and SSN. ASN did not have a significant moderating influence on the primary relationship. The study concludes that the positive influence of walkable neighbourhoods on social activity decreases as SSN and ASN lost increase. [ABSTRACT FROM AUTHOR]

Background: Neglect and abuse of older adults are still prevalent in communities of developing countries, a situation that could discourage active and healthy behaviors in community-dwelling older adults. Methods: This study used the cross-sectional and correlational approaches to construct a scale measuring neglect and abuse in older adults living in the community. The study population was all (3,211) older adults who were resident in Accra and were part of the database of the Social Security and National Insurance Trust. Participants were 515 individuals who met some inclusion criteria. Three steps were followed to determine an initial set of 11 items, and principal component analysis with varimax rotation and confirmatory factor analysis were used to select relevant items and assess the psychometric properties of the final scale. Results: Principal component analysis with varimax rotation yielded a two-factor solution on all 11 items. The first factor extracted was "discrimination and exploitation," which accounted for a variance of 53.9% out of total variance of 70.8%. The scale had a good internal consistency (Cronbach's α =.90, factor loading ≥0.50). Confirmatory factor analysis confirmed the two-factor solution and produced satisfactory convergent and discriminant validity. Conclusion: It is concluded that 11 items that make up 2 factors are potential indicators of neglect and abuse of older adults at the community level. Finally, neglect and abuse of older people in the community can contribute to an increase or decrease in social activity. [ABSTRACT FROM AUTHOR]