Evidence map›Paper›PMID 33176802›Full record

ArticleBMC medicine2020

Multiple lifestyle factors and depressed mood: a cross-sectional and longitudinal analysis of the UK Biobank (N = 84,860).

Jerome Sarris, Russell Thomson, Fiona Hargraves, Melissa Eaton, Michael de Manincor, Nicola Veronese, Marco Solmi, Brendon Stubbs, Alison R Yung, Joseph Firth

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 3 pooled it
5.9field-weighted citation impact, top 3% 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

63 citing papers in PubMed, 3 syntheses or guidelines pooled it, 153 citations in OpenAlex.

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3 more citing papers are in PubMed but not listed here.

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

10 authors at 5 institutions in 3 countries.

Jerome SarrisNICM Heath Research Institute, Western Sydney University, Westmead, NSW, 2145, Australia. j.sarris@westernsydney.edu.au.
Russell ThomsonCentre for Research in Mathematics and Data Science, Western Sydney University, Parramatta, NSW, Australia.
Fiona HargravesNICM Heath Research Institute, Western Sydney University, Westmead, NSW, 2145, Australia.
Melissa EatonNICM Heath Research Institute, Western Sydney University, Westmead, NSW, 2145, Australia.
Michael de ManincorNICM Heath Research Institute, Western Sydney University, Westmead, NSW, 2145, Australia.
Nicola VeroneseNational Research Council, Neuroscience Institute, Aging Branch, Padua, Italy.
Marco SolmiNeurosciences Department, University of Padua, Padua, Italy.
Brendon StubbsPhysiotherapy Department, South London and Maudsley NHS Foundation Trust, Denmark Hills, London, SE5 8AZ, UK.
Alison R YungOrygen, Department of Psychiatry, Melbourne University, Melbourne, VIC, Australia.
Joseph FirthNICM Heath Research Institute, Western Sydney University, Westmead, NSW, 2145, Australia.
Western Sydney University · AUNational Research Council · ITSouth London and Maudsley NHS Foundation Trust · GBUniversity of Manchester · GBUniversity of Padua · IT

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/T021780/1
6 · The paper itself

Abstract

backgroundThere is now evolving data exploring the relationship between depression and various individual lifestyle factors such as diet, physical activity, sleep, alcohol intake, and tobacco smoking. While this data is compelling, there is a paucity of longitudinal research examining how multiple lifestyle factors relate to depressed mood, and how these relations may differ in individuals with major depressive disorder (MDD) and those without a depressive disorder, as 'healthy controls' (HC).

methodsTo this end, we assessed the relationships between 6 key lifestyle factors (measured via self-report) and depressed mood (measured via a relevant item from the Patient Health Questionnaire) in individuals with a history of or current MDD and healthy controls (HCs). Cross-sectional analyses were performed in the UK Biobank baseline sample, and longitudinal analyses were conducted in those who completed the Mental Health Follow-up.

resultsCross-sectional analysis of 84,860 participants showed that in both MDD and HCs, physical activity, healthy diet, and optimal sleep duration were associated with less frequency of depressed mood (all p < 0.001; ORs 0.62 to 0.94), whereas screen time and also tobacco smoking were associated with higher frequency of depressed mood (both p < 0.0001; ORs 1.09 to 1.36). In the longitudinal analysis, the lifestyle factors which were protective of depressed mood in both MDD and HCs were optimal sleep duration (MDD OR = 1.10; p < 0.001, HC OR = 1.08; p < 0.001) and lower screen time (MDD OR = 0.71; p < 0.001, HC OR = 0.80; p < 0.001). There was also a significant interaction between healthy diet and MDD status (p = 0.024), while a better-quality diet was indicated to be protective of depressed mood in HCs (OR = 0.92; p = 0.045) but was not associated with depressed mood in the MDD sample. In a cross-sectional (OR = 0.91; p < 0.0001) analysis, higher frequency of alcohol consumption was surprisingly associated with reduced frequency of depressed mood in MDD, but not in HCs.

conclusionsOur data suggest that several lifestyle factors are associated with depressed mood, and in particular, it calls into consideration habits involving increased screen time and a poor sleep and dietary pattern as being partly implicated in the germination or exacerbation of depressed mood.

Indexed as

Life StyleAdolescentAdultBiological Specimen BanksCross-Sectional StudiesFemaleHumansMajor Depressive DisorderMaleUnited KingdomYoung AdultDietHealthLifestyle medicineMood disordersPhysical activityScreen time

Identifiers

PMID33176802
PMCPMC7661271
OpenAlexW3103354616

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.