Evidence map›Paper›PMID 38198439›Full record

ArticlePloS one2024

The relationship of within-individual and between-individual variation in mental health with bodyweight: An exploratory longitudinal study.

Julia Mueller, Amy L Ahern, Rebecca A Jones, Stephen J Sharp, Alan Davies, Arabella Zuckerman, Benjamin I Perry, Golam M Khandaker, Emanuella De Lucia Rolfe, Nick J Wareham and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.2field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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  4. Article
  5. Observational
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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

11 authors at 3 institutions in 1 country.

Julia MuellerMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-4939-7112
Amy L AhernMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Rebecca A JonesMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Stephen J SharpMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Alan DaviesDivision of Informatics, Imaging & Data Sciences, School of Health Sciences, University of Manchester, Manchester, United Kingdom.ORCID 0000-0001-5737-5629
Arabella ZuckermanSchool of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Benjamin I PerryDepartment of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
Golam M KhandakerMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Emanuella De Lucia RolfeMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Nick J WarehamMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
Kirsten L RennieMRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.
University of Cambridge · GBManchester Academic Health Science Centre · GBUniversity of Bristol · GB

Funding

Medical Research Council MC_UU_00006/6Medical Research Council MC_UU_12015/4Wellcome Trust
6 · The paper itself

Abstract

backgroundPoor mental health is associated with obesity, but existing studies are either cross-sectional or have long time periods between measurements of mental health and weight. It is, therefore, unclear how small fluctuations in mental wellbeing within individuals predict bodyweight over short time periods, e.g. within the next month. Studying this could identify modifiable determinants of weight changes and highlight opportunities for early intervention.

methods2,133 UK adults from a population-based cohort completed monthly mental health and weight measurements using a mobile app over a period of 6-9 months. We used random intercept regression models to examine longitudinal associations of depressive symptoms, anxiety symptoms and stress with subsequent weight. In sub-group analyses, we included interaction terms of mental health variables with baseline characteristics. Mental health variables were split into "between-individual" measurements (= the participant's median score across all timepoints) and "within-individual" measurements (at each timepoint, the difference between the participant's current score and their median).

resultsWithin-individual variation in depressive symptoms predicted subsequent weight (0.045kg per unit of depressive symptom severity, 95% CI 0.021-0.069). We found evidence of a moderation effect of baseline BMI on the association between within-individual fluctuation in depressive symptoms and subsequent weight: The association was only apparent in those with overweight/obesity, and it was stronger in those with obesity than those with overweight (BMI<25kg/m2: 0.011kg per unit of depressive symptom severity [95% CI -0.017 to 0.039]; BMI 25-29.9kg/m2: 0.052kg per unit of depressive symptom severity [95%CI 0.010-0.094kg]; BMI≥30kg/m2: 0.071kg per unit of depressive symptom severity [95%CI 0.013-0.129kg]). We found no evidence for other interactions, associations of stress and anxiety with weight, or for a reverse direction of association.

conclusionIn this exploratory study, individuals with overweight or obesity were more vulnerable to weight gain following higher-than-usual (for that individual) depressive symptoms than individuals with a BMI<25kg/m2.

Indexed as

Mental HealthOverweightAdultCross-Sectional StudiesHumansLongitudinal StudiesObesity

Identifiers

PMID38198439
PMCPMC10781195
OpenAlexW4390693769

What OpenQuestion holds

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LicenceCC BY
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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.