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Nutrition risk varies according to social network type: data from the Canadian Longitudinal Study on Aging

OBJECTIVE: There were two primary objectives, namely: (1) to determine the social network types that Canadian adults aged 45 and older belong to and (2) to discover if social network type is associated with nutrition risk scores and the prevalence of high nutrition risk. DESIGN: A retrospective cros...

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Autores principales: Mills, Christine Marie, Keller, Heather H, DePaul, Vincent Gerard, Donnelly, Catherine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950914/
https://www.ncbi.nlm.nih.gov/pubmed/36813466
http://dx.doi.org/10.1136/fmch-2022-002112
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author Mills, Christine Marie
Keller, Heather H
DePaul, Vincent Gerard
Donnelly, Catherine
author_facet Mills, Christine Marie
Keller, Heather H
DePaul, Vincent Gerard
Donnelly, Catherine
author_sort Mills, Christine Marie
collection PubMed
description OBJECTIVE: There were two primary objectives, namely: (1) to determine the social network types that Canadian adults aged 45 and older belong to and (2) to discover if social network type is associated with nutrition risk scores and the prevalence of high nutrition risk. DESIGN: A retrospective cross-sectional study. SETTING: Data from the Canadian Longitudinal Study on Aging (CLSA). PARTICIPANTS: 17 051 Canadians aged 45 years and older with data from baseline and first follow-up of the CLSA. RESULTS: CLSA participants could be classified into one of seven different social network types that varied from restricted to diverse. We found a statistically significant association between social network type and nutrition risk scores and percentage of individuals at high nutrition risk at both time points. Individuals with restricted social networks had lower nutrition risk scores and are more likely to be at nutrition risk, whereas individuals with diverse social networks had higher nutrition risk scores and are less likely to be at nutrition risk. CONCLUSIONS: Social network type was associated with nutrition risk in this representative sample of Canadian middle-aged and older adults. Providing adults with opportunities to deepen and diversify their social networks may decrease the prevalence of nutrition risk. Individuals with more restricted networks should be proactively screened for nutrition risk.
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spelling pubmed-99509142023-02-25 Nutrition risk varies according to social network type: data from the Canadian Longitudinal Study on Aging Mills, Christine Marie Keller, Heather H DePaul, Vincent Gerard Donnelly, Catherine Fam Med Community Health Original Research OBJECTIVE: There were two primary objectives, namely: (1) to determine the social network types that Canadian adults aged 45 and older belong to and (2) to discover if social network type is associated with nutrition risk scores and the prevalence of high nutrition risk. DESIGN: A retrospective cross-sectional study. SETTING: Data from the Canadian Longitudinal Study on Aging (CLSA). PARTICIPANTS: 17 051 Canadians aged 45 years and older with data from baseline and first follow-up of the CLSA. RESULTS: CLSA participants could be classified into one of seven different social network types that varied from restricted to diverse. We found a statistically significant association between social network type and nutrition risk scores and percentage of individuals at high nutrition risk at both time points. Individuals with restricted social networks had lower nutrition risk scores and are more likely to be at nutrition risk, whereas individuals with diverse social networks had higher nutrition risk scores and are less likely to be at nutrition risk. CONCLUSIONS: Social network type was associated with nutrition risk in this representative sample of Canadian middle-aged and older adults. Providing adults with opportunities to deepen and diversify their social networks may decrease the prevalence of nutrition risk. Individuals with more restricted networks should be proactively screened for nutrition risk. BMJ Publishing Group 2023-02-22 /pmc/articles/PMC9950914/ /pubmed/36813466 http://dx.doi.org/10.1136/fmch-2022-002112 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Mills, Christine Marie
Keller, Heather H
DePaul, Vincent Gerard
Donnelly, Catherine
Nutrition risk varies according to social network type: data from the Canadian Longitudinal Study on Aging
title Nutrition risk varies according to social network type: data from the Canadian Longitudinal Study on Aging
title_full Nutrition risk varies according to social network type: data from the Canadian Longitudinal Study on Aging
title_fullStr Nutrition risk varies according to social network type: data from the Canadian Longitudinal Study on Aging
title_full_unstemmed Nutrition risk varies according to social network type: data from the Canadian Longitudinal Study on Aging
title_short Nutrition risk varies according to social network type: data from the Canadian Longitudinal Study on Aging
title_sort nutrition risk varies according to social network type: data from the canadian longitudinal study on aging
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950914/
https://www.ncbi.nlm.nih.gov/pubmed/36813466
http://dx.doi.org/10.1136/fmch-2022-002112
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