Evidence map›Paper›PMID 32105098›Full record

ArticleJournal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43)2020

Couple BMI trajectory patterns during mid-later years: Socioeconomic stratification and later-life physical health outcomes.

Kandauda A S Wickrama, Tae Kyoung Lee, Catherine Walker O'Neal

Abstract read
In one paragraph

Article in Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kandauda A S WickramaDepartment of Human Development and Family Science.
Tae Kyoung LeeDepartment of Public Health Sciences.
Catherine Walker O'NealDepartment of Human Development and Family Science.ORCID 0000-0002-3869-2394

Funding

CRITICAL TRANSITIONS IN RURAL FAMILIES AT RISKR01MH051361 · NIMH · IOWA STATE UNIVERSITY · PI CONGER, RAND DONALD · 1994 to 2009
$6.3M
Economic Stress &Child Development Across 3 GenerationsR01HD047573 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CONGER, RAND DONALD, NEPPL, TRICIA K. · 2004 to 2010
$4.9M
A Genetic Study of Personal Traits that Promote or Inhibit Individual Well-BeingR01HD064687 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CONGER, RAND DONALD, DONNELLAN, MICHAEL BRENT · 2010 to 2014
$4.3M
Couple Relationships and Health during Transition to Later AdulthoodR01AG043599 · NIA · UNIVERSITY OF GEORGIA · PI WICKRAMA, KA · 2014 to 2018
$2.6M
Relationship Development and Health in Young AdultsR01HD051746 · NICHD · IOWA STATE UNIVERSITY · PI LORENZ, FREDERICK O · 2006 to 2010
$2.5M
Research Training In Transitions, Family &Mental HealthT32MH019734 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TUCKER, M BELINDA · 1992 to 2008
$1.7M
A MICRO PROCESS STUDY: SIBLINGS AND ANTISOCIAL BEHAVIORR01MH062989 · NIMH · MIRIAM HOSPITAL · PI SLOMKOWSKI, CHERYL L · 2000 to 2003
$1.4M
MENTAL HEALTH &SOCIAL CHANGE: A LIFE COURSE PERSPECTIVEK05MH000567 · NIMH · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI ELDER, GLEN H · 1985 to 1999
–
Bureau of Maternal and Child HealthMacArthur Foundation; Research Network on Successful Adolescent Development Among Youth in High-Risk SettingsNational Institute of Child Health and Human DevelopmentNIA NIH HHS R01 AG043599NICHD NIH HHS R01 HD047573NICHD NIH HHS R01 HD051746NICHD NIH HHS R01 HD064687NIDA NIH HHSNIMH NIH HHS K05 MH000567NIMH NIH HHS R01 MH051361NIMH NIH HHS R01 MH062989NIMH NIH HHS T32 MH019734
6 · The paper itself

Abstract

Although previous studies have documented spousal resemblance in health attributes, questions remain regarding the longitudinal resemblance of spouses' body mass index (BMI) and the possible formation of couple-level BMI trajectory patterns. Consequentially, we know little about how the longitudinal resemblance of spouses' BMI may link couples' varying socioeconomic experiences to their physical health outcomes in later years. Thus, the present study using prospective data from a sample of 255 couples in enduring marriages over a period of 26 years (from 1991 to 2017) examined (a) the existence of couple-level BMI trajectory patterns in mid-later years, (b) their social stratification into heterogeneous groups of couples associated with family economic hardship (FEH), and (c) differential later-life health outcomes of these groups. The results provided evidence for groups of couples with distinct BMI trajectory patterns. These groups were associated with latent groups of FEH trajectories, suggesting a persistent association between couple BMI and FEH. Couple BMI trajectory patterns were consequential for physical health consequences in later years. Two features of couple BMI trajectory patterns, severity and synchrony, were utilized to explain these associations. Taken together, the results provided evidence for a couple-level FEH-BMI-health process over the life course and emphasize the impact of severity and synchrony in couples' BMI for their health problems in later adulthood. Findings are discussed as they relate to health policies and interventions focusing on the well-being of married couples in later life, particularly the need for couple-focused obesity-related interventions and policies that mitigate economic hardship given its long-lasting health impacts. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Indexed as

Body Mass IndexHealth StatusAdultFemaleHumansLongitudinal StudiesMaleObesityPovertySpouses

Identifiers

PMID32105098
PMCPMC7374042

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.