Personal networks and mortality in later life: racial and ethnic differences.


Journal

Journal of public health (Oxford, England)
ISSN: 1741-3850
Titre abrégé: J Public Health (Oxf)
Pays: England
ID NLM: 101188638

Informations de publication

Date de publication:
10 12 2021
Historique:
received: 16 02 2020
revised: 13 07 2020
accepted: 15 07 2020
pubmed: 11 8 2020
medline: 17 2 2022
entrez: 11 8 2020
Statut: ppublish

Résumé

Social network characteristics are associated with health outcomes in later life, including mortality. Moreover, there are well-established mortality disparities across race and ethnicity. Although previous studies have documented these associations separately, limited research considers the two in tandem. The present study addressed how the associations between social network characteristics and mortality differ across race and ethnicity in later life. Data were from the National Social Life, Health, and Aging Project. At baseline, 3005 respondents were interviewed with regards to their health and social networks. Five years later, 430 respondents had died. Logistic regression models were used to estimate the odds of all-cause mortality over the study period. Network size and kin composition were negatively associated with mortality, whereas density was positively associated with mortality. There was a stronger negative association between the kin composition and mortality for Hispanic respondents compared with white and Black respondents. The present study contributes to the large literature documenting the link between social networks and health by highlighting the importance of analyzing networks through a sociocultural lens.

Sections du résumé

BACKGROUND
Social network characteristics are associated with health outcomes in later life, including mortality. Moreover, there are well-established mortality disparities across race and ethnicity. Although previous studies have documented these associations separately, limited research considers the two in tandem. The present study addressed how the associations between social network characteristics and mortality differ across race and ethnicity in later life.
METHODS
Data were from the National Social Life, Health, and Aging Project. At baseline, 3005 respondents were interviewed with regards to their health and social networks. Five years later, 430 respondents had died. Logistic regression models were used to estimate the odds of all-cause mortality over the study period.
RESULTS
Network size and kin composition were negatively associated with mortality, whereas density was positively associated with mortality. There was a stronger negative association between the kin composition and mortality for Hispanic respondents compared with white and Black respondents.
CONCLUSION
The present study contributes to the large literature documenting the link between social networks and health by highlighting the importance of analyzing networks through a sociocultural lens.

Identifiants

pubmed: 32776132
pii: 5890333
doi: 10.1093/pubmed/fdaa135
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

824-832

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Adam R Roth (AR)

Department of Sociology, Indiana University, Bloomington, IN 47405, USA.
Indiana University Network Science Institute, Indiana University, Bloomington, IN 47408, USA.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH