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Wei L, Wang B, Wang Y. Low handgrip strength with asymmetry is associated with elevated all-cause mortality risk in older Chinese adults with abdominal obesity. PLoS One 2024; 19:e0306982. [PMID: 39137193 PMCID: PMC11321545 DOI: 10.1371/journal.pone.0306982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 06/26/2024] [Indexed: 08/15/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Low handgrip strength (HGS) and abdominal obesity (AO) have been reported to be linked to an increased all-cause mortality risk in older adults. However, the combined impact of AO with low HGS and/or HGS asymmetry on mortality risk remains unclear. Therefore, this study aimed to investigate the synergistic effects of AO and abnormal HGS on mortality risk among Chinese older adults. METHODS Baseline data of the China Health and Retirement Longitudinal Study in 2011, along with mortality outcomes obtained in 2018 were used for the analysis. Low HGS was identified as HGS <18 kg in women or <28 kg in men, while HGS asymmetry is defined as an HGS of either hand > 10% stronger than the other. AO was characterized by a waist circumference ≥90 cm in men and ≥85 cm in women. Logistic regression analysis was used to evaluate the relationship between AO, abnormal HGS and mortality risk. RESULTS A total of 5186 subjects aged 60 years or older were enrolled, 50.6% of whom were male. The proportions of participants with only AO, only low HGS, only HGS asymmetry, low HGS with asymmetry, both AO and low HGS, both AO and asymmetric HGS, and AO with both low HGS and asymmetry were 20.0%, 6.1%, 16.6%, 8.3%, 3.2%, 13.4%, and 3.9%, respectively. Over the course of a 7-year follow-up interval, 970 of these individuals died, with 13.4%, 12.4%, 13.6%, 15.5%, 4.1%, 10.1% and 6.9% of deaths in the above groups, respectively. The adjusted logistic regression analysis model confirmed that only low HGS (OR = 1.897, 95%CI: 1.386-2.596, p<0.001), low HGS with asymmetry (OR = 1.680, 95%CI: 1.265-2.231, p<0.001), and AO combined with both low HGS and asymmetry (OR = 2.029, 95%CI: 1.381-2.981, p<0.001) were associated with a higher risk of mortality. CONCLUSIONS Low HGS, with or without asymmetry, is associated with increased mortality risk in older Chinese adults without AO, and the combination of low HGS and HGS asymmetry further elevates mortality risk in those with AO.
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Affiliation(s)
- Ling Wei
- Department of Psychiatry, Zigong Mental Health Center, the Zigong Affiliated Hospital of Southwest Medical University, Zigong, Sichuan Province, China
| | - Binyou Wang
- Department of Psychiatry, Zigong Mental Health Center, the Zigong Affiliated Hospital of Southwest Medical University, Zigong, Sichuan Province, China
| | - Yilin Wang
- Department of Psychiatry, Zigong Mental Health Center, the Zigong Affiliated Hospital of Southwest Medical University, Zigong, Sichuan Province, China
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Ogawa M, Okamura M, Inoue T, Sato Y, Momosaki R, Maeda K. Relationship between nutritional status and clinical outcomes among older individuals using long-term care services: A systematic review and meta-analysis. Clin Nutr ESPEN 2024; 59:365-377. [PMID: 38220398 DOI: 10.1016/j.clnesp.2023.11.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 11/21/2023] [Accepted: 11/29/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND & AIMS Nutritional status is a significant issue in an aging society; however, the impact of the nutritional status of older individuals using long-term care services on the caregiving burden remains unclear. This systematic review and meta-analysis aimed to investigate the impact of nutritional issues on adverse outcomes in older individuals using long-term care services. METHODS We used data from the Cochrane Central Register of Controlled Trials, MEDLINE, Embase, Web of Science, CINAHL, and Ichu-shi Web databases. Original articles published in English or Japanese between January 2000 and July 2022 were included. The inclusion criteria were interventional and observational studies on individuals using long-term care services with aged ≥65 years and a focus on body weight or weight loss. Data on adverse outcomes related to caregiving burden, including the number of people requiring care, mortality, complications, activities of daily living (ADL), and quality of life, were collected. RESULTS The literature search yielded 7873 studies, of which 35 were ultimately included. Seven observational studies investigated mortality outcomes, and seven examined ADL outcomes. The meta-analysis revealed significantly higher mortality rates in individuals classified as underweight (BMI <18.5 kg/m2) than in those with BMI ≥18.5 kg/m2 (risk ratio [RR] 1.49; 95 % confidence interval [CI] 1.31 to 1.73, 0.22; I2 93 %). Further, on categorising the participants based on a BMI cutoff of 25 kg/m2, those with a BMI of <25 kg/m2 had a significantly increased mortality rate (RR 1.21; 95 % CI 1.04-1.40; I2 = 98 %). BMI and weight loss did not affect ADL. CONCLUSIONS Our findings indicate that underweight and weight loss are significantly associated with increased mortality in older individuals using long-term care services. Therefore, appropriate weight management is recommended for this population. However, further research is necessary owing to the high heterogeneity observed in this study.
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Affiliation(s)
- Masato Ogawa
- Department of Rehabilitation Science, Osaka Health Science University, Osaka, Japan; Division of Rehabilitation Medicine, Kobe University Graduate School of Medicine, Hyogo, Japan.
| | - Masatsugu Okamura
- Berlin Institute of Health Center for Regenerative Therapies (BCRT), Charité - Universitätsmedizin Berlin, Berlin, Germany; Department of Rehabilitation Medicine, School of Medicine, Yokohama City University, Yokohama, Japan
| | - Tatsuro Inoue
- Department of Physical Therapy, Niigata University of Health and Welfare, Niigata, Japan
| | - Yoichi Sato
- Department of Rehabilitation, Uonuma Kikan Hospital, Niigata, Japan
| | - Ryo Momosaki
- Department of Rehabilitation Medicine, Mie University Graduate School of Medicine, Mie, Japan
| | - Keisuke Maeda
- Department of Geriatric Medicine, Hospital, National Center for Geriatrics and Gerontology, Aichi, Japan
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Alharbi TA, Owen AJ, Ryan J, Gasevic D, McNeil JJ, Woods RL, Nelson MR, Freak-Poli R. Socio-Demographic, Lifestyle, and Clinical Characteristics of Early and Later Weight Status in Older Adults: Secondary Analysis of the ASPREE Trial and ALSOP Sub-Study. Geriatrics (Basel) 2023; 8:71. [PMID: 37489319 PMCID: PMC10366913 DOI: 10.3390/geriatrics8040071] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 04/10/2023] [Accepted: 06/21/2023] [Indexed: 07/26/2023] Open
Abstract
OBJECTIVE To identify the socio-demographic, lifestyle, and clinical characteristics associated with self-reported weight status in early (age 18 years) and late (age ≥ 70 years) adulthood. METHODS The number of participants was 11,288, who were relatively healthy community-dwelling Australian adults aged ≥70 years (mean age 75.1 ± 4.2 years) in the Aspirin in Reducing Events in the Elderly (ASPREE) Longitudinal Study of Older Persons (ALSOP) sub-study. Self-reported weight at the study baseline (age ≥ 70 years) and recalled weight at age 18 years were collected. Height measured at baseline was used to calculate the BMI at both time points. Individuals were categorised into one of five 'lifetime' weight status groups: healthy weight (at both age 18 year and ≥70 years), overweight (at either or both times), non-obese (age 18 year) to obesity (age ≥70 years), obesity (age 18 years) to non-obese (age ≥ 70 years), and early and later life obesity (at age 18 years and ≥70 years). RESULTS Participants who experienced obesity in early and/or late adulthood were at a higher risk of adverse clinical characteristics. Obesity in late adulthood (regardless of early adulthood weight status) was associated with high proportions of hypertension, diabetes, and dyslipidaemia, whereas obesity in early adulthood (regardless of late adulthood weight status) was associated with lower cognitive scores (on all four measures). DISCUSSION/CONCLUSION Healthy or overweight weight status in early and later adulthood was associated with more favourable socioeconomic, lifestyle, and clinical measures. Obesity in early adulthood was associated with lower cognitive function in later adulthood, whereas obesity in later adulthood was associated with hypertension, diabetes, and dyslipidaemia.
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Affiliation(s)
- Tagrid A. Alharbi
- School of Public Health and Preventive Medicine, Monash University, 553 St. Kilda Rd, Melbourne, VIC 3004, Australia
| | - Alice J. Owen
- School of Public Health and Preventive Medicine, Monash University, 553 St. Kilda Rd, Melbourne, VIC 3004, Australia
| | - Joanne Ryan
- School of Public Health and Preventive Medicine, Monash University, 553 St. Kilda Rd, Melbourne, VIC 3004, Australia
| | - Danijela Gasevic
- School of Public Health and Preventive Medicine, Monash University, 553 St. Kilda Rd, Melbourne, VIC 3004, Australia
- Usher Institute, University of Edinburgh, Teviot Place, Edinburgh EH8 9AG, UK
| | - John J. McNeil
- School of Public Health and Preventive Medicine, Monash University, 553 St. Kilda Rd, Melbourne, VIC 3004, Australia
| | - Robyn L. Woods
- School of Public Health and Preventive Medicine, Monash University, 553 St. Kilda Rd, Melbourne, VIC 3004, Australia
| | - Mark R. Nelson
- School of Public Health and Preventive Medicine, Monash University, 553 St. Kilda Rd, Melbourne, VIC 3004, Australia
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool St, Hobart, TAS 7001, Australia
| | - Rosanne Freak-Poli
- School of Public Health and Preventive Medicine, Monash University, 553 St. Kilda Rd, Melbourne, VIC 3004, Australia
- School of Clinical Sciences at Monash Health, Monash University, 27-31 Wright Street, Melbourne, VIC 3004, Australia
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Lyu X, Du Y, Liu G, Mai T, Li Y, Zhang Z, Bei C. Prevalence and influencing factors of hyperuricemia in middle-aged and older adults in the Yao minority area of China: a cross-sectional study. Sci Rep 2023; 13:10185. [PMID: 37349536 PMCID: PMC10287663 DOI: 10.1038/s41598-023-37274-y] [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: 04/21/2023] [Accepted: 06/19/2023] [Indexed: 06/24/2023] Open
Abstract
Hyperuricemia (HUA) endangers human health, and its prevalence has increased rapidly in recent decades. The current study investigated HUA's prevalence and influencing factors in Gongcheng, southern China. A cross-sectional investigation was conducted; 2128 participants aged 30-93 years were included from 2018 to 2019. Univariate and multivariate logistic regression models were used to screen HUA variables. A Bayesian network model was constructed using the PC algorithm to evaluate the association between influencing factors and HUA. The prevalence of HUA was 15.6% (23.2% in men, 10.7% in women). After screening the variables using a logistic regression analysis model, fatty liver disease (FLD), dyslipidemia, abdominal obesity, creatinine (CREA), somatotype, bone mass, drinking, and physical activity level at work were included in the Bayesian network model. The model results showed that dyslipidemia, somatotype, CREA, and drinking were directly related to HUA. Bone mass and FLD were indirectly associated with HUA by affecting the somatotype. The prevalence of HUA in Gongcheng was high in China. The prevalence of HUA was related to somatotype, drinking, bone mass, physical activity level at work, and other metabolic diseases. A good diet and moderate exercise are recommended to maintain a healthy somatotype and reduce the prevalence rate of HUA.
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Affiliation(s)
- Xiao Lyu
- Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Huan Cheng North 2nd Road 109, Guilin, 541004, Guangxi, China
| | - Yuanxiao Du
- Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Huan Cheng North 2nd Road 109, Guilin, 541004, Guangxi, China
| | - Guoyu Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Huan Cheng North 2nd Road 109, Guilin, 541004, Guangxi, China
| | - Tingyu Mai
- Department of Environmental and Occupational Health, School of Public Health, Guilin Medical University, Huan Cheng North 2nd Road 109, Guilin, 541004, Guangxi, China
| | - You Li
- Department of Environmental and Occupational Health, School of Public Health, Guilin Medical University, Huan Cheng North 2nd Road 109, Guilin, 541004, Guangxi, China
| | - Zhiyong Zhang
- Department of Environmental and Occupational Health, School of Public Health, Guilin Medical University, Huan Cheng North 2nd Road 109, Guilin, 541004, Guangxi, China.
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Guangxi Health Commission Key Laboratory of Entire Lifecycle Health and Care, School of Public Health, Guilin Medical University, Guilin, China.
| | - Chunhua Bei
- Department of Epidemiology and Health Statistics, School of Public Health, Guilin Medical University, Huan Cheng North 2nd Road 109, Guilin, 541004, Guangxi, China.
- Guangxi Key Laboratory of Environmental Exposomics and Entire Lifecycle Heath, Guangxi Health Commission Key Laboratory of Entire Lifecycle Health and Care, School of Public Health, Guilin Medical University, Guilin, China.
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Hussain SM, Newman AB, Beilin LJ, Tonkin AM, Woods RL, Neumann JT, Nelson M, Carr PR, Reid CM, Owen A, Ball J, Cicuttini FM, Tran C, Wang Y, Ernst ME, McNeil JJ. Associations of Change in Body Size With All-Cause and Cause-Specific Mortality Among Healthy Older Adults. JAMA Netw Open 2023; 6:e237482. [PMID: 37036703 PMCID: PMC10087052 DOI: 10.1001/jamanetworkopen.2023.7482] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 02/25/2023] [Indexed: 04/11/2023] Open
Abstract
Importance The association between weight change and subsequent cause-specific mortality among older adults is not well described. The significance of changes in waist circumference (WC) has also not been compared with weight change for this purpose. Objective To examine the associations of changes in body weight and WC with all-cause and cause-specific mortality. Design, Setting, and Participants This cohort study is a post hoc analysis of data from the Aspirin in Reducing Events in the Elderly (ASPREE) randomized clinical trial, which recruited participants between March 1, 2010, and December 31, 2014. The study included community-based older adults (16 703 Australian participants aged ≥70 years and 2411 US participants aged ≥65 years) without evident cardiovascular disease (CVD), dementia, physical disability, or life-limiting chronic illness. Data analysis was performed from April to September 2022. Exposures Body weight and WC were measured at baseline and at annual visit 2. Analysis models were adjusted for baseline body mass index because height and weight were measured at baseline, allowing for calculation of body mass index and other variables. Both body weight and WC changes were categorized as change within 5% (stable), decrease by 5% to 10%, decrease by more than 10%, increase by 5% to 10%, and increase by more than 10%. Main Outcomes and Measures All-cause, cancer-specific, CVD-specific, and noncancer non-CVD-specific mortality. Mortality events were adjudicated by an expert review panel. Cox proportional hazards regression and competing risk analyses were used to calculate hazard ratios (HRs) and 95% CIs. Results Among 16 523 participants (mean [SD] age, 75.0 [4.3] years; 9193 women [55.6%]), 1256 deaths were observed over a mean (SD) of 4.4 (1.7) years. Compared with men with stable weight, those with a 5% to 10% weight loss had a 33% higher (HR, 1.33; 95% CI, 1.07-1.66) risk of all-cause mortality, and those with more than a 10% decrease in body weight had a 289% higher (HR, 3.89; 95% CI, 2.93-5.18) risk. Compared with women with stable weight, those with a 5% to 10% weight loss had a 26% higher (HR, 1.26; 95% CI, 1.00-1.60) risk of all-cause mortality, and those with more than a 10% decrease in body weight had a 114% higher (HR, 2.14; 95% CI, 1.58-2.91) risk. Weight loss was associated with a higher cancer-specific mortality (>10% decrease among men: HR, 3.49; 95% CI, 2.26-5.40; 5%-10% decrease among women: HR, 1.44; 95% CI, 1.46-2.04; >10% decrease among women: HR, 2.78; 95% CI, 1.82-4.26), CVD-specific mortality (>10% decrease among men: HR, 3.14; 95% CI, 1.63-6.04; >10% decrease among women: HR, 1.92; 95% CI, 1.05-3.51), and noncancer non-CVD-specific mortality (>10% decrease among men: HR, 4.98; 95% CI, 3.14-7.91). A decrease in WC was also associated with mortality. Conclusions and Relevance This cohort study of healthy older adults suggests that weight loss was associated with an increase in all-cause and cause-specific mortality, including an increased risk of cancer, CVD, and other life-limiting conditions. Physicians should be aware of the significance of weight loss, especially among older men.
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Affiliation(s)
- Sultana Monira Hussain
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Medical Education, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia
| | - Anne B. Newman
- Center for Aging and Population Health, Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Lawrence J. Beilin
- Medical School, Royal Perth Hospital, University of Western Australia, Perth, Western Australia, Australia
| | - Andrew M. Tonkin
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Robyn L. Woods
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Johannes T. Neumann
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Cardiology, University Heart & Vascular Center Hamburg, Hamburg, Germany
- German Center for Cardiovascular Research, Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Mark Nelson
- Discipline of General Practice, University of Tasmania, Hobart, Australia
| | - Prudence R. Carr
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Christopher M. Reid
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Alice Owen
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Jocasta Ball
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Flavia M. Cicuttini
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Cammie Tran
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Yuanyuan Wang
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Michael E. Ernst
- Department of Pharmacy Practice and Science, College of Pharmacy, The University of Iowa, Iowa City
- Department of Family Medicine, Carver College of Medicine, The University of Iowa, Iowa City
| | - John J. McNeil
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
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Xiao X, Yu X, Zhu H, Zhai X, Li S, Ma W, Ouyang M, Liu K, Eshak ES, Cao J. Arm Circumference, Arm-to-Waist Ratio in Relation to Cardiovascular and All-Cause Mortality among Patients with Diabetes Mellitus. Nutrients 2023; 15:nu15040961. [PMID: 36839318 PMCID: PMC9959583 DOI: 10.3390/nu15040961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 02/04/2023] [Accepted: 02/07/2023] [Indexed: 02/17/2023] Open
Abstract
Among patients with diabetes mellitus, limited studies have investigated the relationship between anthropometric parameters and cardiovascular disease (CVD), with all-cause mortality. We examined the associations of arm circumference (AC), arm-to-waist ratio (AC/WC), and CVD, with all-cause mortality among patients with diabetes. This is a cohort study of 5497 diabetic individuals aged 20 or over who were recruited in the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2014. Cox proportional hazards regression models were used to analyze the associations between AC, AC/WC, and CVD, with all-cause mortality. We also conducted stratified analyses and explored the possible non-linear relation by restricted cubic splines. During a median follow-up of 7.2 years, there were 271 and 1093 cases of CVD and all-cause death. The multivariable adjusted hazard ratios (HRs) with 95% confidence intervals (Cis) of CVD mortality in Q2, Q3, and Q4 groups compared with Q1 group were 0.37 (0.22, 0.62), 0.24 (0.12, 0.48), 0.18 (0.07, 0.46) for AC, and 0.18 (0.07, 0.46), 0.34 (0.20, 0.60), 0.28 (0.15, 0.53) for AC/WC. Similar results were observed in the analysis for all-cause mortality risk. AC and AC/WC were both inversely associated with CVD and all-cause mortality among individuals with diabetes. It is important to pay attention to these anthropometric parameters of diabetic patients.
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Affiliation(s)
- Xinyu Xiao
- School of Public Health, Wuhan University, Wuhan 430071, China
| | - Xinyi Yu
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Huiping Zhu
- School of Public Health, Capital Medical University, Beijing 100069, China
| | - Xiaobing Zhai
- Center for Artificial Intelligence Driven Drug Discovery, Faculty of Applied Sciences, Macao Polytechnic University, Macau SAR, China
| | - Shiyang Li
- School of Public Health, Wuhan University, Wuhan 430071, China
| | - Wenzhi Ma
- School of Public Health, Wuhan University, Wuhan 430071, China
| | - Meishou Ouyang
- Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita-shi 565-0871, Osaka, Japan
| | - Keyang Liu
- Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita-shi 565-0871, Osaka, Japan
| | - Ehab S. Eshak
- Department of Public Health, Faculty of Medicine, Minia University, Minia 61511, Egypt
- Advanced Clinical Epidemiology, Medical data Science Unit, Public Health, Department of Social Medicine, Graduate School of Medicine, 2-2 Yamadaoka, Osaka University, Suita-shi 565-0871, Osaka, Japan
- Public Health, School of Health, Calvin University, Grand Rapids, MI 49546, USA
| | - Jinhong Cao
- School of Management, Hubei University of Traditional Chinese Medicine, Wuhan 430065, China
- Research Center for the Development of Traditional Chinese Medicine, Hubei Province Project of Key Research Institute of Humanities and Social Sciences at Universities, Wuhan 430065, China
- Correspondence:
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Alharbi TA, Ryan J, Freak-Poli R, Gasevic D, McNeil J, Woods RL, Britt C, Nelson MR, Owen AJ. Self-Reported Early and Later Life Weight and the Risk of All-Cause Mortality in Older Adults. J Nutr Health Aging 2023; 27:301-308. [PMID: 37170438 PMCID: PMC10353754 DOI: 10.1007/s12603-023-1907-1] [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: 07/12/2022] [Accepted: 01/25/2023] [Indexed: 05/13/2023]
Abstract
OBJECTIVES The extent to which body weight in early adulthood is associated with late-life mortality risk is unclear. This study aimed to determine the association between body mass index (BMI) in early adulthood (at 18 years of age) and older age (70 years and over), and the risk of mortality in later life. DESIGN Secondary analysis of the ASPREE Longitudinal Study of Older Persons (ALSOP). SETTING, PARTICIPANTS Data were from 14,853 relatively healthy community-dwelling Australians aged ≥ 70 years when enrolled in the study. MEASUREMENTS Self-reported weight at age ≥ 70 years and recalled weight at age 18 years were collected at ALSOP study baseline. Height was measured with a stadiometer and was used for calculation of BMI at both timepoints. BMI at each timepoint was defined as: underweight, normal weight, overweight and obese. Individuals were categorised into one of five 'lifetime' BMI groups: normal weight (BMI between 18.5 and 24.9 at both times), overweight (25.0-29.9 at either or both times), obesity to non-obese (≥30.0 at age 18 and <30.0 ≥ 70 years), non-obese to obesity (<30.0 at age 18 and ≥30.0 at age ≥ 70 years), and early and later life obesity (≥30.0 at both times). RESULTS During a median 4.7 years follow-up, 715 deaths occurred. Obesity at 18 years, but not in older age (p=0.44), was significantly associated with the risk of mortality in later life, even after accounting for current health status (HR: 2.35, 95% CI: 1.53-3.58, p<0.001). Compared with participants with normal BMI at both time points, being obese at both time points was associated with increased mortality risk (HR=1.99, 95% CI: 1.04-3.81, p=0.03), and the risk was even greater for individuals who were obese at 18 years but were no longer obese in older age (HR=2.92, 95% CI: 1.65-5.16, p<0.001), in fully adjusted models. Participants who were normal weight at 18 years and were obese in later life, did not have an increased mortality risk (p=0.78). CONCLUSIONS Obesity in early adulthood, and obesity in both early and later life, were associated with increased mortality risk in later life. This highlights the importance of preventing obesity in early adulthood and maintaining a normal weight over an adult lifespan.
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Affiliation(s)
- T A Alharbi
- Dr Alice J. Owen, Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, 553 St. Kilda Rd., Level 4, Melbourne VIC 3004, Australia, Tel: +61 3 9903 0416,
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Objectively Assessed Weight Change and All-Cause Mortality among Community-Dwelling Older People. Nutrients 2022; 14:nu14142983. [PMID: 35889940 PMCID: PMC9320907 DOI: 10.3390/nu14142983] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 07/18/2022] [Accepted: 07/18/2022] [Indexed: 02/01/2023] Open
Abstract
Later life changes in body weight may be associated with an increased risk of mortality in older adults. The objective of this study was to examine whether weight change over four years was associated with a 17-year mortality risk in older adults. Participants were 1664 community-dwelling adults aged ≥65 years in the longitudinal Enquete de Sante’ Psychologique-Risques, Incidence et Traitement (ESPRIT) study. Outcomes were all-cause mortality, cardiovascular disease (CVD) and cancer mortality. Weight change was defined as difference between weight at baseline and 4 years, categorised into: weight stable (±<5% weight change), weight loss (≥5%) and weight gain (≥5%). Association between weight change and mortality risk was evaluated using Cox proportional hazards models. Over 17 years of follow-up (median 15 years), 565 participants died. Compared to stable weight participants, those with ≥ 5% weight loss had an increased risk of all-cause mortality (HR: 1.24, 95% CI: 1.00−1.56, p = 0.05) and CVD mortality (HR: 1.53, 95% CI: 1.10−2.14, p = 0.01), but not cancer mortality (HR: 0.83, 95% CI: 0.50−1.39, p = 0.49). Weight gain of ≥5% was not associated with increased mortality (HR: 1.05, 95% CI: 0.76−1.45, p = 0.74). Weight monitoring in older adults could help identify weight loss at its early stages to better target interventions to maintain nutritional reserve and prevent premature mortality.
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