Transition in metabolic health phenotypes across general adiposity categories and association with the risk of depression : a prospective analysis
BACKGROUND: The 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.
METHODS: Based 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.
RESULTS: The 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.
CONCLUSIONS: Obesity 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.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2024 |
|---|---|
| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:67 |
|---|---|
| Enthalten in: |
European psychiatry : the journal of the Association of European Psychiatrists - 67(2024), 1 vom: 29. Feb., Seite e26 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Zhu, Yunyi [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Completed 27.03.2024 Date Revised 05.04.2024 published: Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1192/j.eurpsy.2024.20 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM369083350 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM369083350 | ||
| 003 | DE-627 | ||
| 005 | 20240405233653.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240229s2024 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1192/j.eurpsy.2024.20 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1366.xml |
| 035 | |a (DE-627)NLM369083350 | ||
| 035 | |a (NLM)38418418 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Zhu, Yunyi |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Transition in metabolic health phenotypes across general adiposity categories and association with the risk of depression |b a prospective analysis |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 27.03.2024 | ||
| 500 | |a Date Revised 05.04.2024 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a BACKGROUND: The 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 | ||
| 520 | |a METHODS: Based 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 | ||
| 520 | |a RESULTS: The 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 | ||
| 520 | |a CONCLUSIONS: Obesity 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a body mass index | |
| 650 | 4 | |a depression | |
| 650 | 4 | |a metabolic health | |
| 700 | 1 | |a Yin, Yuan |e verfasserin |4 aut | |
| 700 | 1 | |a Huang, Fei |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Yuanjun |e verfasserin |4 aut | |
| 700 | 1 | |a Xia, Yuge |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Mingying |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Yunhe |e verfasserin |4 aut | |
| 700 | 1 | |a Jin, Lijuan |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t European psychiatry : the journal of the Association of European Psychiatrists |d 1995 |g 67(2024), 1 vom: 29. Feb., Seite e26 |w (DE-627)NLM090678567 |x 1778-3585 |7 nnns |
| 773 | 1 | 8 | |g volume:67 |g year:2024 |g number:1 |g day:29 |g month:02 |g pages:e26 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1192/j.eurpsy.2024.20 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 67 |j 2024 |e 1 |b 29 |c 02 |h e26 | ||