Association of longitudinal trajectories of general and abdominal adiposity during middle age with mental health and well-being in late life: A prospective analysis

被引:2
作者
Qin, Huibo [1 ]
Hu, Gang [2 ,3 ]
Liang, Zhengting [4 ]
Jin, Xin [5 ,6 ]
Chen, Xiaodong [7 ]
Su, Binbin [8 ]
Bao, Yanping [9 ,10 ]
Ouyang, Jing [11 ]
Wang, Yunhe [12 ]
机构
[1] Liaocheng Peoples Hosp, Qual Control Dept, Jinan, Shandong, Peoples R China
[2] Xinjiang Med Univ, Sch Hlth Management, Urumqi, Peoples R China
[3] Xinjiang Med Univ, Affiliated Hosp 1, Hlth Management Ctr, Urumqi, Peoples R China
[4] Xinjiang Med Univ, Sch Tradit Chinese Med, Urumqi, Peoples R China
[5] Peking Univ, Inst Populat Res, Beijing, Peoples R China
[6] Peking Univ, Peking Univ Lib, Beijing, Peoples R China
[7] Xinjiang Med Univ, Affiliated Hosp 1, Urumqi, Peoples R China
[8] Chinese Acad Med Sci & Peking Union Med Coll, Sch Populat Med & Publ Hlth, Beijing, Peoples R China
[9] Peking Univ, Natl Inst Drug Dependence, Beijing, Peoples R China
[10] Peking Univ, Sch Publ Hlth, Beijing, Peoples R China
[11] Shaanxi Univ Chinese Med, Sch Humanities & Management, Xianyang, Shaanxi, Peoples R China
[12] Univ Oxford, Nuffield Dept Populat Hlth, Oxford, England
关键词
Adiposity; Trajectory; Depression; Anxiety; Well-being; DEPRESSION; OVERWEIGHT; DISORDERS; COUNTRIES; OBESITY;
D O I
10.1016/j.psychres.2024.115863
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Single measures of adiposity markers, such as body mass index (BMI) and waist circumference (WC), are associated with adverse mental health outcomes; however, long -term patterns of adiposity and their health effects remain unclear. The current study assessed adiposity trajectories during a 14-year span beyond middle age and their relevance to mental well-being in late life, and the contribution of genetic and lifestyle factors to the trajectories. Based on a nationally representative sample with longitudinal anthropometric measures, adiposity trajectories were identified by latent mixture modeling, and logistic regression model was used to estimate their associations with mental well-being, with adjustment for confounders. Of the 3491 eligible participants included (mean [SD] age, 69.5 [8.9] years), five discrete BMI and four WC trajectory patterns were identified over 14 years. Compared with the low-stable BMI group (range, 22.8 to 22.9 kg/m 2 ; representing stable healthy body weight), the high-stable group (range, 34.3 to 35.4 kg/m 2 ; stable obese) was associated with increased risk of depression (odds ratio [OR], 1.63; 95 % CI, 1.28 -2.07) and low subjective well-being (OR, 1.35; 95 % CI, 1.02 -1.79). Compared with the low-stable WC group (range, 75 to 79 cm healthy WC), the high-increasing group (range, 114 to 121 cm) was associated with increased risk of depression (odds ratio [OR], 1.64; 95 % CI, 1.19 -2.25) and low well-being (OR, 1.48; 95 % CI, 1.01 -2.16). The adiposity trajectories, especially the highstable/increasing groups, were driven by genetic factors in a dose-response manner, whereas the high/ moderate-increasing groups were also behaviorally related. This longitudinal cohort study reveals that stably high trajectory patterns of central and general adiposity during middle age were associated with higher risk of depression and low well-being in late life. The findings indicate the importance of weight management beyond middle age, such as adherence to a healthy lifestyle, in promoting mental health and well-being.
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页数:9
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共 24 条
  • [1] [Anonymous], Body mass index - BMI [accessed 2021]. Available
  • [2] Personal Wellbeing Score (PWS)-a short version of ONS4: development and validation in social prescribing
    Benson, Tim
    Sladen, Joe
    Liles, Andrew
    Potts, Henry W. W.
    [J]. BMJ OPEN QUALITY, 2019, 8 (02)
  • [3] Di Cesare M, 2016, LANCET, V387, P1377, DOI DOI 10.1016/S0140-6736(16)30054-X
  • [4] Life course BMI trajectories from childhood to mid-adulthood are differentially associated with anxiety and depression outcomes in middle age
    Gallagher, Claire
    Pirkis, Jane
    Lambert, Katrina A. A.
    Perret, Jennifer L. L.
    Ali, Gulshan B. B.
    Lodge, Caroline J. J.
    Bowatte, Gayan
    Hamilton, Garun S. S.
    Matheson, Melanie C. C.
    Bui, Dinh S. S.
    Abramson, Michael J. J.
    Walters, E. Haydn
    Dharmage, Shyamali C. C.
    Erbas, Bircan
    [J]. INTERNATIONAL JOURNAL OF OBESITY, 2023, 47 (08) : 661 - 668
  • [5] A SAS procedure based on mixture models for estimating developmental trajectories
    Jones, BL
    Nagin, DS
    Roeder, K
    [J]. SOCIOLOGICAL METHODS & RESEARCH, 2001, 29 (03) : 374 - 393
  • [6] Validation of the Eight-Item Center for Epidemiologic Studies Depression Scale (CES-D) Among Older Adults
    Karim, Jahanvash
    Weisz, Robert
    Bibi, Zainab
    Rehman, Shafiq Ur
    [J]. CURRENT PSYCHOLOGY, 2015, 34 (04) : 681 - 692
  • [7] BMI Development and Early Adolescent Psychosocial Well-Being: UK Millennium Cohort Study
    Kelly, Yvonne
    Patalay, Praveetha
    Montgomery, Scott
    Sacker, Amanda
    [J]. PEDIATRICS, 2016, 138 (06)
  • [8] Multi-polygenic score approach to trait prediction
    Krapohl, E.
    Patel, H.
    Newhouse, S.
    Curtis, C. J.
    von Stumm, S.
    Dale, P. S.
    Zabaneh, D.
    Breen, G.
    O'Reilly, P. F.
    Plomin, R.
    [J]. MOLECULAR PSYCHIATRY, 2018, 23 (05) : 1368 - 1374
  • [9] Anxiety disorders in primary care:: Prevalence, impairment, comorbidity, and detection
    Kroenke, Kurt
    Spitzer, Robert L.
    Williams, Janet B. W.
    Monahan, Patrick O.
    Lowe, Bernd
    [J]. ANNALS OF INTERNAL MEDICINE, 2007, 146 (05) : 317 - 325
  • [10] Li YP, 2018, CIRCULATION, V138, P345, DOI [10.1161/CIRCULATIONAHA.117.032047, 10.1161/circulationaha.117.032047]