Abdominal Obesity and Low Skeletal Muscle Mass Jointly Predict Total Mortality and Cardiovascular Mortality in an Elderly Asian Population

Chuang, Shao-Yuan; Hsu, Yueh-Ying; Chen, Rosalind Chia-Yu; Liu, Wen-ling; Pan, Wen‐Harn

doi:10.1093/gerona/glv192

Cited by 49 publications

(40 citation statements)

References 32 publications

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“…The prevalence of sarcopenia and sarcopenic obesity in the study was similar to previous studies according to Asian definition (12.9 and 13.8%). In this study, however, obesity with low muscle mass was not a good predictor for mortality as in previous studies . One of the explanations was the lack of evaluations for muscle strength.…”

Section: Discussioncontrasting

confidence: 83%

“…Volume of OH was calculated by total body water minus water from muscle mass and fat mass . Skeletal muscle mass (SMM) was calculated according to the following bioimpedance analysis equations: SMM (kg) = {(0.401 ×height 2 /resistance) + (3.825 × gender) − (0.071 × age) + 5.102}, where height was in centimetres, resistance was in ohms, men = 1 and women = 0 and age was in years. SMMI was defined as SMM (kg) divided by squared height (m 2 ), whereas FTI was defined as fat tissue mass (kg) divided by squared height (m 2 ) (FTM/Ht 2 and SMM/Ht 2 ) .…”

Section: Methodsmentioning

confidence: 99%

“…According to World Health Organization expert consultation, there was increasing evidence of the emerging high prevalence of type 2 diabetes and increased cardiovascular risk factors in Asian population with BMI > 25 kg/m 2 ; thereby, we defined obesity as BMI > 25 kg/m 2 as previous studies in Asia . Men with SMMI < 11.45 and women with SMMI < 8.51 kg/m 2 were classified as having low SMM, based on a previous study with Chinese population . Fluid overload, defined by OH/ECW > 15%, was adjusted as per a previous study …”

Section: Methodsmentioning

confidence: 99%

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Association between obesity with low muscle mass and dialysis mortality

Tseng

Wang

et al. 2017

Internal Medicine Journal

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From a total of 176 age-matched patients, the incidence rates of mortality for different groups were 3.7, 7.8, 10.3 and 16.5 per 1000 person-months. After adjusting for continuous variables, SMMI was independently associated with mortality. The difference between groups A and D was more significant in women than in men after multivariate adjustment (adjusted hazard ratios: 7.465 vs 1.682) (P = 0.035 and 0.553). The discriminative power of SMMI to predict 5-year mortality was 0.700 for men and 0.750 for women, and the best cut-off values were 11.1 and 8.4 kg/m CONCLUSIONS: Low muscle mass was associated with dialysis mortality. Obesity with low muscle mass was a predictor for dialysis mortality in women.

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Section: Discussioncontrasting

confidence: 83%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Association between obesity with low muscle mass and dialysis mortality

Tseng

Wang

et al. 2017

Internal Medicine Journal

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“…Dual-energy X-ray absorptiometry (DEXA) or bioelectrical impedance analysis (BIA) are commonly used to measure muscle mass and identify sarcopenia with low SMM [4, 37]. We used a BIA device (Parama-Tech BF-101) with two electric signals (right wrist and right ankle).…”

Section: Methodsmentioning

confidence: 99%

Medical costs of a low skeletal muscle mass are modulated by dietary diversity and physical activity in community-dwelling older Taiwanese: a longitudinal study

Wahlqvist

Huang

et al. 2017

Int J Behav Nutr Phys Act

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BackgroundAge-related loss of skeletal muscle mass (SMM) and function (sarcopenia) are associated with poor health outcomes and an economic burden on health care services. An appropriate diet and physical activity have been proposed for prevention and treatment of sarcopenia. Nevertheless, the effects on medical service utilization and costs remain unclear. This study determined the effects of SMM in conjunction with diet quality and physical activity on medical service utilization and expenditure in community-dwelling older Taiwanese.MethodsIn total, 1337 participants from the Elderly Nutrition and Health Survey in Taiwan (1999–2000) were enrolled. An SMM index [SMMI, calculated by dividing SMM (kg) by height (m2)] was used as the marker of sarcopenia. Participants with the lowest SMMI quartiles (<11.4 kg/m2 for men and 8.50 kg/m2 for women) comprised the high-risk group, and the remainder comprised the low-risk group. Dietary information (dietary diversity: low and high) and physical activity (low and moderate) were obtained at baseline. Annual medical service utilization and expenditure were calculated from National Health Insurance claims until December 31, 2006. Generalized linear models were used to determine the association between the SMMI and annual medical service utilization and costs in conjunction with dietary diversity or physical activity.ResultsAfter 8 follow-up years, regardless of gender, participants in the high-risk group reported significantly more hospitalization (days and expenditure) and total medical expenditure. Participants in the high-risk group who had low dietary diversity made fewer annual outpatient (14%), preventive care (19%), and dental (40%) visits, but exhibited longer hospitalization (102%) than did those who had a low SMMI and high dietary diversity. Similar patterns were observed in the corresponding medical expenditures. The findings were similar when considering physical activity. Being in the low-risk group in conjunction with having high dietary diversity or more physical activity was associated with the lowest annual adjusted mean hospitalization days with expenditure, and also total expenditure.ConclusionsA lower SMMI was associated with more hospitalization days and costs. However, high dietary diversity and more physical activity can attenuate the effects of lower SMMI on medical service utilization and expenditure.

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“…These clinical problems related to SO are much greater than that in sarcopenia or obesity alone [4,9,12,13], which suggests that sarcopenia and obesity have independent and additive adverse effects on health in the elderly. However, despite this significant and rising public health concern, there is very little evidence on SO.…”

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confidence: 99%

Physical Activity and Sarcopenic Obesity: Definition, Assessment, Prevalence and Mechanism

et al. 2016

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Sarcopenic obesity is the coexistance of sarcopenia and obesity. Modern sarcopenia definition includes low muscle mass, weak muscle strength (handgrip strength) and poor physical function (slow walking), although the clinical definition of each varies worldwide. The cut-points for low muscle mass for men and women using appendicular lean mass divided by height (kg/m2) are ≤7.0 and ≤5.4 in Asians, and ≤7.23 and ≤5.67 in Caucasians, respectively. The cut-points for weak handgrip strength (kg) for men and women are <26 and <18 in Asians, and <30 and <20 in Caucasians, respectively. The cut-point for slow walking is ≤0.8 m/s in men and women. Current data suggest the potential benefits of physical activity and fitness on sarcopenic obesity in older adults.

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Abdominal Obesity and Low Skeletal Muscle Mass Jointly Predict Total Mortality and Cardiovascular Mortality in an Elderly Asian Population

Abstract: Elderly individuals with abdominal obesity and low skeletal muscle mass have higher all-cause and cardiovascular mortality risk.

Cited by 49 publications

References 32 publications

Association between obesity with low muscle mass and dialysis mortality

Association between obesity with low muscle mass and dialysis mortality

Medical costs of a low skeletal muscle mass are modulated by dietary diversity and physical activity in community-dwelling older Taiwanese: a longitudinal study

Physical Activity and Sarcopenic Obesity: Definition, Assessment, Prevalence and Mechanism

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