1
|
Qin Z, Liu Z, Li R, Luo Y, Wei Z, He L, Pei Y, Su Y, Hu X, Peng X. Association between BMI trajectories in late-middle age and subsequent dementia risk in older age: a 26-year population-based cohort study. BMC Geriatr 2023; 23:773. [PMID: 38001429 PMCID: PMC10675868 DOI: 10.1186/s12877-023-04483-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 11/14/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND The association between body mass index (BMI) and dementia risk differs depending on follow-up time and age at BMI measurement. The relationship between BMI trajectories in late-middle age (50-65 years old) and the risk of dementia in older age (> 65 years old) has not been revealed. METHODS In the present study, participants from the Health and Retirement Study were included. BMI trajectories were constructed by combining BMI trend and variation information. The association between BMI trajectories at the age of 50-65 years and dementia risk after the age of 65 years was investigated. Participants with European ancestry and information on polygenic scores for cognitive performance were pooled to examine whether genetic predisposition could modify the association. RESULTS A total of 10,847 participants were included in the main analyses. A declining BMI trend and high variation in late-middle age were associated with the highest subsequent dementia risk in older age compared with an ascending BMI trend and low variation (RR = 1.76, 95% CI = 1.45-2.13). Specifically, in stratified analyses on BMI trajectories and dementia risk based on each individual's mean BMI, the strongest association between a declining BMI trend with high variation and elevated dementia risk was observed in normal BMI group (RR = 2.66, 95% CI = 1.72-4.1). Similar associations were found when participants were stratified by their genetic performance for cognition function without interaction. CONCLUSIONS A declining BMI trend and high variation in late-middle age were associated with a higher risk of dementia. Early monitoring of these individuals is needed to prevent dementia in older individuals.
Collapse
Affiliation(s)
- Zijian Qin
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Zheran Liu
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Ruidan Li
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Yaxin Luo
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Zhigong Wei
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Ling He
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Yiyan Pei
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Yonglin Su
- West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
| | - Xiaolin Hu
- West China School of Nursing, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
| | - Xingchen Peng
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
| |
Collapse
|
2
|
Zhou T, Chen H, Huang Y, Wang B, Zheng Y, Wang L, Rong S, Ma Y, Yuan C. Longitudinal body weight dynamics in relation to cognitive decline over two decades: A prospective cohort study. Obesity (Silver Spring) 2023; 31:852-860. [PMID: 36782381 DOI: 10.1002/oby.23671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 10/07/2022] [Accepted: 11/03/2022] [Indexed: 02/15/2023]
Abstract
OBJECTIVE The aim of this study was to investigate the associations of body weight change (BWC) and body weight variability (BWV) with changes in cognitive function. METHODS In 10,340 Health and Retirement Study participants (mean age: 68.0 years), body weight was reported biennially from 1993/1994 to 2016, and cognitive function was measured biennially from 1998 to 2016. We calculated BWC and BWV as the slope and root-mean-square error by regressing body weight on time for each individual. BWC was categorized by quintiles (Q): stable weight (Q2 to Q4), weight loss (Q1), and weight gain (Q5). BWV was categorized by tertiles. We used linear mixed regression models to assess associations with cognitive change. RESULTS Compared with stable weight (median: 0 kg/y), weight loss (median: -1.3 kg/y) predicted faster cognitive decline as demonstrated by mean difference of -0.023 (95% CI: -0.027 to -0.019) in cognitive change z score per year, whereas weight gain (median: 1 kg/y) was related to slower cognitive decline (β = 0.006; 95% CI: 0.003 to 0.009). Larger BWV was also associated with faster cognitive decline (β comparing the top with bottom tertile = -0.003; 95% CI: -0.006 to -0.0002). Similar associations were observed for episodic and working memory. CONCLUSIONS Weight loss and large BWV over a long time independently predicted faster cognitive decline in middle-aged and older adults, underscoring the importance of long-term dynamic body weight monitoring.
Collapse
Affiliation(s)
- Tianjing Zhou
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Hui Chen
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuhui Huang
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Binghan Wang
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yan Zheng
- Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China
| | - Liang Wang
- Department of Public Health, Robbins College of Health and Human Sciences, Baylor University, Waco, Texas, USA
| | - Shuang Rong
- Department of Nutrition, School of Public Health, Wuhan University, Wuhan, China
- Research Center of Public Health, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yuan Ma
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Changzheng Yuan
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| |
Collapse
|
3
|
Chen H, Zhou T, Guo J, Ji JS, Huang L, Xu W, Zuo G, Lv X, Zheng Y, Hofman A, Ma Y, Yuan C. Association of Long-Term Body Weight Variability With Dementia: A Prospective Study. J Gerontol A Biol Sci Med Sci 2022; 77:2116-2122. [PMID: 34908120 PMCID: PMC9536437 DOI: 10.1093/gerona/glab372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Body weight variability (BWV) refers to intraindividual weight loss and gain over a period. The association of long-term BWV with dementia remains unclear and whether this association is beyond body weight change is undetermined. METHODS In the Health and Retirement Study, a total of 5 547 dementia-free participants (56.7% women; mean [SD] age, 71.1 [3.2] years) at baseline (2008) were followed up to 8 years (mean = 6.8 years) to detect incident dementia. Body weight was self-reported biennially from 1992 to 2008. BWV was measured as the coefficient of variation utilizing the body weight reported 9 times across 16 years before baseline. Cox-proportional hazard model was used to estimate the hazard ratio (HR) and 95% confidence interval (CI). RESULTS Among the 5 547 participants, a total of 427 incident dementia cases were identified during follow-up. Greater long-term BWV was significantly associated with a higher risk of dementia (HR comparing extreme quartiles: 2.01, 95% CI: 1.48-2.72; HR of each SD increment: 1.21, 95% CI: 1.10-1.32; p-trend < .001) independent of mean body weight and body weight change. This significant association was even observed for BWV estimated approximately 15 years preceding dementia diagnosis (HR of each SD increment: 1.13, 95% CI: 1.03-1.23) and was more pronounced for that closer to diagnosis. CONCLUSION Our prospective study suggested that greater BWV may be a novel risk factor for dementia.
Collapse
Affiliation(s)
- Hui Chen
- School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Tianjing Zhou
- School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Jie Guo
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - John S Ji
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Liyan Huang
- School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Weili Xu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Guangmin Zuo
- School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaozhen Lv
- Beijing Dementia Key Lab, National Clinical Research Center for Mental Disorders, NHC Key Laboratory of Mental Health, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China
| | - Yan Zheng
- Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China
| | - Albert Hofman
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Yuan Ma
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Changzheng Yuan
- School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| |
Collapse
|
4
|
Espeland MA, Evans JK, Carmichael O, Luchsinger JA, Marcovina SM, Neiberg R, Johnson KC, Kahn SE, Hayden KM. Association of cognition with leptin and vascular endothelial growth factor in individuals with type 2 diabetes mellitus. Obesity (Silver Spring) 2022; 30:1863-1874. [PMID: 35920161 PMCID: PMC9420754 DOI: 10.1002/oby.23495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 04/15/2022] [Accepted: 05/07/2022] [Indexed: 11/10/2022]
Abstract
OBJECTIVE The 10-year intensive lifestyle intervention (ILI) of the Look AHEAD study left a legacy of relative deficits in cognitive function among participants who entered the clinical trial with obesity or a history of cardiovascular disease. We hypothesized that altered levels of two weight-sensitive proangiogenic cytokines, leptin and vascular endothelial growth factor (VEGF), accounted for this concerning finding. METHODS Serum leptin and VEGF concentrations were determined in 1,279 Look AHEAD participants at baseline, proximal to cessation of the interventions (Epoch 1), and an average of 4 years later (Epoch 2). Up to four standardized assessments of attention, executive function, and memory were collected during follow-up. Mixed effects models were used to assess relative differences in leptin and VEGF concentrations between intervention groups and whether these accounted for changes in cognitive composite scores. RESULTS ILI and diabetes support and education differences in VEGF, but not leptin, concentrations varied depending on baseline history of cardiovascular disease and obesity, but neither leptin nor VEGF concentrations accounted for the relative decrements in cognitive function in participants assigned to ILI. CONCLUSIONS Alterations in two weight-sensitive proangiogenic cytokines did not account for the long-term adverse effects of ILI on cognitive function among adults with diabetes and either obesity or cardiovascular disease.
Collapse
Affiliation(s)
- Mark A. Espeland
- Sticht Center for Healthy Aging and Alzheimer's PreventionWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
- Department of Biostatistics and Data ScienceWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Joni K. Evans
- Department of Biostatistics and Data ScienceWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Owen Carmichael
- Pennington Biomedical Research CenterBaton RougeLouisianaUSA
| | - Jose A. Luchsinger
- Department of MedicineColumbia University Medical CenterNew YorkNew YorkUSA
| | | | - Rebecca Neiberg
- Department of Biostatistics and Data ScienceWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | - Karen C. Johnson
- Department of Preventive MedicineUniversity of Tennessee Health Science CenterMemphisTennesseeUSA
| | - Steven E. Kahn
- Division of Metabolism, Endocrinology, and NutritionVA Puget Sound Health Care System and University of WashingtonSeattleWAUSA
| | - Kathleen M. Hayden
- Department of Social Sciences and Health PolicyWake Forest School of MedicineWinston‐SalemNorth CarolinaUSA
| | | |
Collapse
|
5
|
Guo J, Marseglia A, Shang Y, Dove A, Grande G, Fratiglioni L, Xu W. Association Between Late-Life Weight Change and Dementia: A Population-based Cohort Study. J Gerontol A Biol Sci Med Sci 2022; 78:143-150. [PMID: 35921193 PMCID: PMC9879755 DOI: 10.1093/gerona/glac157] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND The impact of late-life weight changes on incident dementia is unclear. We aimed to investigate the associations of body mass index (BMI) and weight changes with dementia and to explore the role of APOE ɛ4 in these associations. METHODS A total of 1 673 dementia-free participants aged ≥60 and older were followed for an initial 6 years to detect changes in BMI/weight and then for an additional 6 years to detect incident dementia. BMI change ([BMIfirst 6-year follow-up - BMIbaseline]/BMIbaseline) was categorized as stable (≤5%), and moderate (5%-10%) or large (>10%) gain or loss. Weight change (weightfirst 6-year follow-up - weightbaseline) was categorized as stable (≤2.5 kg), and moderate (2.5-7.5 kg) or large (>7.5 kg) gain or loss. Dementia was diagnosed following standard criteria. Data were analyzed using Cox regression models. RESULTS Over the second 6-year follow-up period, 102 incident dementia cases were identified. Compared with stable BMI, the hazard ratios (95% CI) of dementia were 2.61 (1.09-5.54) and 2.93 (1.72-4.91) for BMI gain or loss >10%, respectively. The risk of dementia was higher among APOE ɛ4 carriers experiencing a large BMI gain (9.93 [3.49-24.6]) or loss (6.66 [2.83-14.4]) than APOE ɛ4 noncarriers with stable BMI. Similar results were observed for weight change and dementia associations. CONCLUSIONS BMI and weight changes showed U-shaped associations with dementia risk. Large bodyweight gain and loss alike are associated with an almost 3-fold higher risk of dementia, which may be amplified by APOE ɛ4.
Collapse
Affiliation(s)
- Jie Guo
- Address correspondence to: Jie Guo, MPH, Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Tomtebodavägen 18A Floor 10, SE-171 65 Solna, Stockholm, Sweden. E-mail:
| | - Anna Marseglia
- Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Ying Shang
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden,Department of Medicine, Huddinge, Karolinska Institutet, Stockholm, Sweden
| | - Abigail Dove
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Giulia Grande
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Weili Xu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| |
Collapse
|