Social network moderators of the association between Ghanaian older adults' neighbourhood walkability and social activity
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 p...
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| Veröffentlicht in: | Health promotion international Jg. 36; H. 5; S. 1357 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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13.10.2021
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| ISSN: | 1460-2245, 1460-2245 |
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| Abstract | 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. |
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| AbstractList | 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. 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.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. |
| Author | Eduafo, Richard Asiamah, Nestor Conduah, Andrew Kweku |
| Author_xml | – sequence: 1 givenname: Nestor surname: Asiamah fullname: Asiamah, Nestor organization: School of Health and Care Professions, University of Portsmouth, Portsmouth, UK – sequence: 2 givenname: Andrew Kweku surname: Conduah fullname: Conduah, Andrew Kweku organization: Institute of Work, Employment & Society (IWES), University of Professional Studies, Legon, Accra, Ghana – sequence: 3 givenname: Richard surname: Eduafo fullname: Eduafo, Richard organization: Africa Centre for Epidemiology, Gerontology and Geriatric Care, Accra, Ghana |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33517412$$D View this record in MEDLINE/PubMed |
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| Copyright | The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com. |
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| Keywords | older adults social capital social activity neighbourhood walkability confounding variables social networks |
| Language | English |
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| Title | Social network moderators of the association between Ghanaian older adults' neighbourhood walkability and social activity |
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