Evidence map›Paper›PMID 38418418›Full record

ArticleEuropean psychiatry : the journal of the Association of European Psychiatrists2024

Transition in metabolic health phenotypes across general adiposity categories and association with the risk of depression: a prospective analysis.

Yunyi Zhu, Yuan Yin, Fei Huang, Yuanjun Liu, Yuge Xia, Mingying Zhang, Yunhe Wang, Lijuan Jin

Abstract read
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Article in European psychiatry : the journal of the Association of European Psychiatrists, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yunyi ZhuSuzhou Hospital of Traditional Chinese Medicine, Endocrinology and Metabolic Diseases Department, Suzhou, China.
Yuan YinSuzhou Hospital of Traditional Chinese Medicine, Endocrinology and Metabolic Diseases Department, Suzhou, China.
Fei HuangSuzhou Hospital of Traditional Chinese Medicine, Endocrinology and Metabolic Diseases Department, Suzhou, China.
Yuanjun LiuSuzhou Hospital of Traditional Chinese Medicine, Endocrinology and Metabolic Diseases Department, Suzhou, China.
Yuge XiaThe Second Affiliated Hospital of Anhui University of Chinese Medicine, Geriatric Department, Hefei, China.ORCID 0009-0004-7149-3401
Mingying ZhangSuzhou Hospital of Traditional Chinese Medicine, Endocrinology and Metabolic Diseases Department, Suzhou, China.
Yunhe WangNuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0002-0923-1441
Lijuan JinSuzhou Hospital of Traditional Chinese Medicine, Endocrinology and Metabolic Diseases Department, Suzhou, China.ORCID 0009-0007-1829-6187

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between obesity and depression may partly depend on the contextual metabolic health. The effect of change in metabolic health status over time on subsequent depression risk remains unclear. We aimed to assess the prospective association between metabolic health and its change over time and the risk of depression across body mass index (BMI) categories.

methodsBased on a nationally representative cohort, we included participants enrolled at the wave 2 (2004-2005) of the English Longitudinal Study of Ageing and with follow-up for depression at wave 8 (2016-2017). Participants were cross-classified by BMI categories and metabolic health (defined by the absence of hypertension, diabetes, and hypercholesterolemia) at baseline or its change over time (during waves 3-6). Logistic regression model was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for the risk of depression at follow-up stratified by BMI category and metabolic health status with adjustment for potential confounders.

resultsThe risk of depression was increased for participants with metabolically healthy obesity compared with healthy nonobese participants, and the risk was highest for those with metabolically unhealthy obesity (OR 1.62, 95% CI 1.18-2.20). Particularly hypertension and diabetes contribute most to the increased risk. The majority of metabolically healthy participants converted to unhealthy metabolic phenotype (50.1% of those with obesity over 8 years), which was associated with an increased risk of depression. Participants who maintained metabolically healthy obesity were still at higher risk (1.99, 1.33-2.72), with the highest risk observed for those with stable unhealthy metabolic phenotypes.

conclusionsObesity remains a risk factor for depression, independent of whether other metabolic risk factors are present or whether participants convert to unhealthy metabolic phenotypes over time. Long-term maintenance of metabolic health and healthy body weight may be beneficial for the population mental well-being.

Indexed as

Diabetes MellitusHypertensionObesity, Metabolically BenignAdiposityBody Mass IndexDepressionHumansLongitudinal StudiesObesityPhenotypeRisk Factorsbody mass indexdepressionmetabolic health

Identifiers

PMID38418418
PMCPMC10988159

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