The impact of social support networks on mental and physical health in the transition to older adulthood

A longitudinal, pattern-centered approach

Katherine L. Fiori, Justin Jager

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

Social support is a multidimensional construct that consists of the type of support, the direction of support, the sources or targets of support, and whether support is actual or potential. We used latent class analysis to uncover network types based on these dimensions and to examine the association between network types and well-being among 6,824 adults (M age = 54 at T1) in the two most recent waves (1992-1993 and 2003-2005) of the Wisconsin Longitudinal Study. We found six classes of social support networks. Class membership at T1 significantly predicted changes in depressive symptomatology and self-rated health over time. Our findings are discussed in light of the utility of a pattern-centered approach for uncovering heterogeneity in the social networks of adults.

Original languageEnglish (US)
Pages (from-to)117-129
Number of pages13
JournalInternational Journal of Behavioral Development
Volume36
Issue number2
DOIs
StatePublished - Mar 2012
Externally publishedYes

Fingerprint

Health Transition
Social Support
adulthood
social support
Mental Health
health
class membership
longitudinal study
social network
well-being
Longitudinal Studies
Health

Keywords

  • Cognitive functioning
  • Depression
  • Health
  • Middle-aged adults
  • Network types
  • Relationships
  • Support exchange

ASJC Scopus subject areas

  • Developmental and Educational Psychology

Cite this

@article{4faeee7ce8234a98935e82714b15529f,
title = "The impact of social support networks on mental and physical health in the transition to older adulthood: A longitudinal, pattern-centered approach",
abstract = "Social support is a multidimensional construct that consists of the type of support, the direction of support, the sources or targets of support, and whether support is actual or potential. We used latent class analysis to uncover network types based on these dimensions and to examine the association between network types and well-being among 6,824 adults (M age = 54 at T1) in the two most recent waves (1992-1993 and 2003-2005) of the Wisconsin Longitudinal Study. We found six classes of social support networks. Class membership at T1 significantly predicted changes in depressive symptomatology and self-rated health over time. Our findings are discussed in light of the utility of a pattern-centered approach for uncovering heterogeneity in the social networks of adults.",
keywords = "Cognitive functioning, Depression, Health, Middle-aged adults, Network types, Relationships, Support exchange",
author = "Fiori, {Katherine L.} and Justin Jager",
year = "2012",
month = "3",
doi = "10.1177/0165025411424089",
language = "English (US)",
volume = "36",
pages = "117--129",
journal = "International Journal of Behavioral Development",
issn = "0165-0254",
publisher = "SAGE Publications Ltd",
number = "2",

}

TY - JOUR

T1 - The impact of social support networks on mental and physical health in the transition to older adulthood

T2 - A longitudinal, pattern-centered approach

AU - Fiori, Katherine L.

AU - Jager, Justin

PY - 2012/3

Y1 - 2012/3

N2 - Social support is a multidimensional construct that consists of the type of support, the direction of support, the sources or targets of support, and whether support is actual or potential. We used latent class analysis to uncover network types based on these dimensions and to examine the association between network types and well-being among 6,824 adults (M age = 54 at T1) in the two most recent waves (1992-1993 and 2003-2005) of the Wisconsin Longitudinal Study. We found six classes of social support networks. Class membership at T1 significantly predicted changes in depressive symptomatology and self-rated health over time. Our findings are discussed in light of the utility of a pattern-centered approach for uncovering heterogeneity in the social networks of adults.

AB - Social support is a multidimensional construct that consists of the type of support, the direction of support, the sources or targets of support, and whether support is actual or potential. We used latent class analysis to uncover network types based on these dimensions and to examine the association between network types and well-being among 6,824 adults (M age = 54 at T1) in the two most recent waves (1992-1993 and 2003-2005) of the Wisconsin Longitudinal Study. We found six classes of social support networks. Class membership at T1 significantly predicted changes in depressive symptomatology and self-rated health over time. Our findings are discussed in light of the utility of a pattern-centered approach for uncovering heterogeneity in the social networks of adults.

KW - Cognitive functioning

KW - Depression

KW - Health

KW - Middle-aged adults

KW - Network types

KW - Relationships

KW - Support exchange

UR - http://www.scopus.com/inward/record.url?scp=84858266188&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84858266188&partnerID=8YFLogxK

U2 - 10.1177/0165025411424089

DO - 10.1177/0165025411424089

M3 - Article

VL - 36

SP - 117

EP - 129

JO - International Journal of Behavioral Development

JF - International Journal of Behavioral Development

SN - 0165-0254

IS - 2

ER -