Evidence map›Paper›PMID 32405807›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2020

Lifestyle and Psychosocial Patterns and Diabetes Incidence Among Women with and Without Obesity: a Prospective Latent Class Analysis.

Michael Hendryx, Paul Dinh, Angela Chow, Candyce H Kroenke, Melanie Hingle, Aladdin H Shadyab, Lorena Garcia, Barbara V Howard, Juhua Luo

Abstract read
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In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 16% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

9 authors at 6 institutions in 1 country.

Michael HendryxDepartment of Environmental and Occupational Health, School of Public Health, Indiana University, Bloomington, IN, 47405, USA. hendryx@indiana.edu.ORCID 0000-0002-2764-387X
Paul DinhDepartment of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN, USA.
Angela ChowDepartment of Applied Health Science, School of Public Health, Indiana University, Bloomington, IN, USA.
Candyce H KroenkeKaiser Permanente Northern California Division of Research, Oakland, CA, USA.
Melanie HingleDepartment of Nutritional Sciences, University of Arizona, Tucson, AZ, USA.
Aladdin H ShadyabDepartment of Family Medicine and Public Health, University of California San Diego School of Medicine, San Diego, CA, USA.
Lorena GarciaDepartment of Public Health Sciences, University of California Davis School of Medicine, Davis, CA, USA.
Barbara V HowardMedStar Health Research Institute, Hyattsville, MD, USA.
Juhua LuoDepartment of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN, USA.
Indiana University Bloomington · USKaiser Permanente · USMedStar Health · USUniversity of Arizona · USUniversity of California, Davis · USUniversity of California San Diego · US

Funding

NHLBI NIH HHS HHSN268201600018C, HHSN268201600001C, HHSN268201600002C, HHSN268201600003C, and HHSN268201600004C
6 · The paper itself

Abstract

We conducted latent class analyses to identify women with homogeneous combinations of lifestyle and behavioral variables and tested whether latent classes were prospectively associated with diabetes incidence for women with or without baseline obesity. A total of 64,710 postmenopausal women aged 50-79 years without prevalent diabetes at baseline (years 1993-1998) were followed until 2018 with a mean follow-up of 14.6 years (sd = 6.4). Lifestyle variables included smoking, diet quality, physical activity, and sleep quality. Psychosocial variables included social support, depression, and optimism. Multivariable Cox proportional hazards regression models tested associations between latent classes and diabetes incidence controlling for age, race/ethnicity, and education. During follow-up, 8076 (12.4%) women developed diabetes. For women without baseline obesity, five latent classes were identified. Compared with a lower risk referent, diabetes incidence was higher in classes characterized by high probability of multiple lifestyle and psychosocial risks (HR = 1.45; 95% CI 1.28, 1.64), poor diet and exercise (HR = 1.23; 95% CI 1.13, 1.33), and psychosocial risks alone (HR = 1.20; 95% CI 1.12, 1.29). For women with baseline obesity, four latent classes were identified. Compared with a lower risk referent, diabetes incidence was higher for women with obesity in classes characterized by high probability of multiple lifestyle and psychosocial risks (HR = 1.48; 95% CI 1.32, 1.66), poor diet and exercise (HR = 1.32; 95% CI 1.19, 1.47), and intermediate probabilities of multiple risks (HR = 1.17; 95% CI 1.05, 1.30). Diabetes prevention efforts that focus on diet and exercise may benefit from attention to how lifestyle behaviors interact with psychosocial variables to increase diabetes risks, and conversely, how psychological or social resources may be leveraged with lifestyle changes to reduce the risk for women with and without obesity.

Indexed as

ObesityAgedDiabetes Mellitus, Type 2FemaleHealth BehaviorHumansIncidenceLatent Class AnalysisLife StyleMiddle AgedPostmenopauseProportional Hazards ModelsProspective StudiesRisk AssessmentLatent class analysisLifestylePostmenopausalPsychosocial risksType 2 diabetes

Identifiers

PMID32405807
OpenAlexW3025198148

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.