Evidence map›Paper›PMID 32059056›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2020

Stability and Change in Health Behavior Profiles of U.S. Adults.

Sarah A Burgard, Katherine Y P Lin, Brian D Segal, Michael R Elliott, Sarah Seelye

Abstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
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  6. Contributions and Challenges in Health Lifestyles Research.Journal of health and social behavior · 2021
    Article
  7. Article
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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

5 authors.

Sarah A BurgardDepartment of Sociology, University of Michigan, Ann Arbor.
Katherine Y P LinDepartment of Sociology, Dartmouth College, Hanover, New Hampshire.
Brian D SegalDepartment of Biostatistics, University of Michigan, Ann Arbor.
Michael R ElliottDepartment of Biostatistics, University of Michigan, Ann Arbor.
Sarah SeelyePopulation Studies Center, University of Michigan, Ann Arbor.

Funding

TRAINING IN THE DEMOGRAPHY OF AGINGT32AG000221 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah A. Burgard · 1992 to 2026
$15.3M
Scientific/Technical CoreP2CHD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah A. Burgard · 2017 to 2026
$6.5M
UNDERSTANDING SOCIAL DISPARITIES IN HEALTH AND AGINGR01AG018418 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BURGARD, SARAH A. · 2000 to 2015
$6.3M
NIA NIH HHS R01 AG018418NIA NIH HHS T32 AG000221NICHD NIH HHS P2C HD041028
6 · The paper itself

Abstract

objectivesWhile understanding of complex within-person clustering of health behaviors into meaningful profiles of risk is growing, we still know little about whether and how U.S. adults transition from one profile to another as they age. This study assesses patterns of stability and change in profiles of tobacco and alcohol use and body mass index (BMI).

methodA nationally representative cohort of U.S. adults 25 years and older was interviewed up to 5 times between 1986 and 2011. Latent transition analysis (LTA) models characterized the most common profiles, patterning of transitions across profiles over follow-up, and assessed whether some were associated with higher mortality risk.

resultsWe identified 5 profiles: "health promoting" with normal BMI and moderate alcohol consumption; "overweight"; "current smokers"; "obese"; and "nondrinkers". Profile membership was largely stable, with the most common transitions to death or weight gain. "Obese" was the most stable profile, while "smokers" were most likely to transition to another profile. Mortality was most frequent in the "obese" and "nondrinker" profiles. DISCUSSION: Stability was more common than transition, suggesting that adults sort into health behavior profiles relatively early. Women and men were differently distributed across profiles at baseline, but showed broad similarity in transitions.

Indexed as

Health BehaviorAdultAge FactorsAlcohol AbstinenceAlcohol DrinkingBody Mass IndexFemaleHumansInterviews as TopicLongitudinal StudiesMaleMiddle AgedObesityOverweightSex FactorsSmokingAlcoholBMILatent transition analysisTobacco

Identifiers

PMID32059056
PMCPMC7328035

What OpenQuestion holds

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Registered trials

None linked

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.