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Lei Q, Tian H, Xiao Z, Wu W, Liang X, Zhao Q, Ding D, Deng W. Association Between Body Mass Index and Incident Dementia Among Community-Dwelling Older Adults: The Shanghai Aging Study. J Alzheimers Dis 2022; 86:919-929. [PMID: 35147546 DOI: 10.3233/jad-215517] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The relationship between body mass index (BMI) and dementia is inconclusive. Undesirable loss of fat-free mass is a risk factor for cognitive decline while obesity is also a risk factor for cardio-metabolic disorders among the older adults. OBJECTIVE This study aimed to examine the association between BMI and incident all-cause dementia among Chinese older adults using a prospective study. METHODS Participants were 1,627 community residents aged 60 or older without dementia from the Shanghai Aging Study. Cox regression models, incorporated with restricted cubic splines, were used to explore a nonlinear association between baseline BMI and risk of all-cause dementia as measured by hazard ratio (HR) using both frequentist and Bayesian approach. RESULTS We diagnosed 136 incident dementia cases during the mean follow-up of 5.3 years. Compared with moderate BMI (18.5-24.0 kg/m2), low BMI (< 18.5 kg/m2) were related to an increased risk of dementia with the HR as 3.38 (95% CI 1.50-7.63), while high BMI (≥24.0 kg/m2) showed a decreased risk of dementia without statistical significance (HR = 0.91, 95% CI 0.60 to 1.39). Sensitivity analysis in participants without central obesity indicated that the association was still significant with even higher HR. Bayesian approach presented the similar results. CONCLUSION Our result indicates that low BMI may contribute to high risk of incident dementia, even in individuals without central obesity.
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Affiliation(s)
- Qiqi Lei
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China.,NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
| | - Hongdou Tian
- People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, China
| | - Zhenxu Xiao
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Wanqing Wu
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaoniu Liang
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qianhua Zhao
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Ding Ding
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Wei Deng
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China.,NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
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Cadar D, Ma Y, Ajnakina O, Steptoe A. Authors' response to comments on: Higher risk of dementia in English older individuals who are overweight or obese. Int J Epidemiol 2021; 50:1041-1042. [PMID: 33822949 PMCID: PMC8485682 DOI: 10.1093/ije/dyab063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Dorina Cadar
- Department of Behavioural Science and Health, University College London, London, UK
| | - Yixuan Ma
- Department of Behavioural Science and Health, University College London, London, UK
| | - Olesya Ajnakina
- Department of Behavioural Science and Health, University College London, London, UK
- Department of Biostatistics & Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Andrew Steptoe
- Department of Behavioural Science and Health, University College London, London, UK
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