Dataset Information

Association of changes in predicted body composition with subsequent risk of dementia.

ABSTRACT:

Objective

The effect of body composition change on the risk of dementia is not clear. This study analyzed the associations of changes in predicted lean body mass index (pLBMI), predicted appendicular skeletal muscle mass index (pASMI), and predicted body fat mass index (pBFMI) with the risk of dementia.

Methods

In this nationwide cohort study, data were obtained from the Korean National Health Insurance Service database. The exposure was defined as changes in pLBMI, pASMI, and pBFMI derived from validated prediction equations. The outcome was dementia, defined based on the dementia diagnosis with prescription of anti-dementia medication. Cox proportional hazards regression analyses were performed to obtain the hazard ratio with a 95% confidence interval for risk of dementia according to changes in predicted body composition.

Results

A total of 13,215,208 individuals with no prior record of dementia who underwent health screenings twice between 2009-2010 and 2011-2012 were included. A 1-kg/m² increase in pLBMI and pASMI had an association with reduced risk of dementia (aHR: 0.85, 95% CI 0.84-0.87; aHR: 0.70, 95% CI 0.69-0.72, respectively for men, and aHR: 0.69, 95% CI 0.67-0.71; aHR: 0.59, 95% CI 0.57-0.61, respectively for women). A 1-kg/m² increase in pBFMI had an association with a raised risk of dementia (aHR: 1.19, 95% CI 1.17-1.21 for men and aHR: 1.53, 95% CI 1.48-1.57 for women). These results remained consistent regardless of sex or weight change.

Interpretation

Increase in pLBMI or pASMI, or reduction in pBFMI was linked to lower risk of dementia.

SUBMITTER: Kim SM

PROVIDER: S-EPMC11330214 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature

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Publications

Association of changes in predicted body composition with subsequent risk of dementia.

Kim Sung Min SM Choi Seulggie S Lee Gyeongsil G Oh Yun Hwan YH Son Joung Sik JS Ko Ahryoung A Kim Ji Soo JS Cho Yoosun Y Keum NaNa N Park Sang Min SM

Annals of clinical and translational neurology 20240715 8

<h4>Objective</h4>The effect of body composition change on the risk of dementia is not clear. This study analyzed the associations of changes in predicted lean body mass index (pLBMI), predicted appendicular skeletal muscle mass index (pASMI), and predicted body fat mass index (pBFMI) with the risk of dementia.<h4>Methods</h4>In this nationwide cohort study, data were obtained from the Korean National Health Insurance Service database. The exposure was defined as changes in pLBMI, pASMI, and pBF ...[more]

PMID: 39010668

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Project description:ObjectiveBoth changes in body composition and increased fall risk occur with increasing age. While weight management may be considered a component of falls prevention, the long-term consequences of changes in weight, however, remain uncertain. This prospective study aimed to evaluate the relationship between weight and body composition changes over 5 years with fall occurrence.DesignProspective cohort study.SettingCommunity-dwelling older adults interviewed at baseline (2013-2016) and follow-up (2020-2022) as a part of the Malaysian Elders Longitudinal Research study were included.ParticipantsParticipants who attended face-to-face follow-up visits.Primary and secondary outcome measuresFall occurrence over 12 months preceding the follow-up visit was determined. Anthropometric, bioimpedance analysis and physical performance measurements were obtained at both time points. Participants were categorised into three groups according to changes in weight and body composition using≥5% increase or decrease in weight to determine loss or gain.ResultsOf the 225 participants, aged 71.8±6.8 years, 128 (56.9%) were women. Weight gain was associated with increased fall risk at follow-up compared with stable weight (adjusted rate ratio, aRR (95% confidence interval, CI)=2.86 (1.02-8.02)) following adjustments for age and body mass index (BMI), but this relationship was attenuated by low baseline percentage lean body mass (%LBM) in women. The association was strenghtened after adjusting for age, BMI, and low muscle strength (aRR (95% CI)=2.89 (1.01-8.28)). Weight change did not influence falls risk in men. No difference was observed with changes in percentage body fat and %LBM over time with fall occurrence for both genders.ConclusionLower baseline lean body mass influenced the relationship between weight gain and falls longitudinally. Interventions addressing low lean body mass should be considered in the prevention of weight-gain-related falls in older women.

Project description:Importance:Sarcopenia and sarcopenic obesity have been associated with poor outcomes in unresectable pancreatic cancer (PC). Neoadjuvant treatment (NT) is used increasingly to improve resectability; however, its effects on fat and muscle body composition have not been characterized. Objectives:To evaluate whether NT affects muscle mass and adipose tissue in patients with borderline resectable PC (BRPC) and locally advanced PC (LAPC) and determine whether there were potential differences between patients who ultimately underwent resection and those who did not. Design, Setting, and Participants:In this retrospective cohort study conducted at 4 academic medical centers, 193 patients with BRPC and LAPC undergoing surgical exploration after NT who had available computed tomographic scans (both at diagnosis and preoperatively) and confirmed pancreatic ductal adenocarcinoma were evaluated. The study was conducted from January 2013 to December 2015. Data analysis was performed from September 2016 to May 2017. Measurement of body compartments was evaluated with volume assessment software before and after NT. A radiologist blinded to the patient outcome assessed the areas of skeletal muscle, total adipose tissue, and visceral adipose tissue through a standardized protocol. Exposures:Receipt of NT. Main Outcomes and Measures:Achievement of pancreatic resection at surgical exploration after the receipt of NT. Results:Of the 193 patients with complete radiologic imaging available after NT, 96 (49.7%) were women; mean (SD) age at diagnosis was 64 (11) years. Most patients received combined therapy with fluorouracil, irinotecan, oxaliplatin, leucovorin, and folic acid (124 [64.2%]) and 86 (44.6%) received chemoradiotherapy as well. The median interval between pre-NT and post-NT imaging was 6 months (interquartile range [IQR], 4-7 months). All body compartments significantly changed. The adipose compound decreased (median total adipose tissue area from 284.0 cm2; IQR, 171.0-414.0 to 250.0 cm2; IQR, 139.0-363.0; P < .001; median visceral adipose tissue area from 115.2 cm2; IQR, 59.9-191.0 to 97.7 cm2; IQR, 48.0-149.0 cm2; P < .001), whereas the lean mass slightly improved (median skeletal muscle from 122.1 cm2; IQR, 99.3-142.0 to 123 cm2; IQR 104.8-152.5 cm2; P = .001). Surgical resection was achievable in 136 (70.5%) patients. Patients who underwent resection had experienced a 5.9% skeletal muscle area increase during NT treatment, whereas those who did not undergo resection had a 1.7% decrease (P < .001). Conclusions and Relevance:Patients with PC experience a significant loss of adipose tissue during neoadjuvant chemotherapy, but no muscle wasting. An increase in muscle tissue during NT is associated with resectability.

Dataset Information

Association of changes in predicted body composition with subsequent risk of dementia.

Objective

Methods

Results

Interpretation

Publications

Association of changes in predicted body composition with subsequent risk of dementia.

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