Comparison of fat-free mass index and fat mass index in Chinese adults

Lu, Yanhui; Hua, Shucheng; Zheng, Yujiao; Li, C; Liu, M; Chen, Z; He, Xue

doi:10.1038/ejcn.2012.86

Cited by 32 publications

(27 citation statements)

References 23 publications

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“…A noteworthy finding of the present study is that the extent of the age-related decrease in FFMI among women was smaller than that in other populations [ 15 , 36 ]. The FFMI of Italian women in their 70s decreased by approximately 5.3% as compared with those in their 60s [ 15 ].…”

Section: Discussioncontrasting

confidence: 67%

“…The FFMI of Italian women in their 70s decreased by approximately 5.3% as compared with those in their 60s [ 15 ]. In Chinese women, FFMI decreased by approximately 3.7% among women in their 70s as compared with those in their 60s [ 36 ]. In contrast, the FFMI remained constant among the women in the present study, with only a 1% decrease up to age 84 years.…”

Section: Discussionmentioning

confidence: 99%

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Reference Values and Age Differences in Body Composition of Community-Dwelling Older Japanese Men and Women: A Pooled Analysis of Four Cohort Studies

et al. 2015

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ObjectivesTo determine age- and sex-specific body composition reference values and investigate age differences in these parameters for community-dwelling older Japanese men and women, using direct segmental multi-frequency bioelectrical impedance analysis.MethodsWe conducted a pooled analysis of data collected in four cohort studies between 2008 and 2012: Kusatsu Longitudinal Study, Hatoyama Cohort Study, Itabashi Cohort Study, and Kashiwa Cohort Study. The pooled analysis included cross-sectional data from 4478 nondisabled, community-dwelling adults aged 65-94 years (2145 men, 2333 women; mean age: 72.9 years in men and 72.6 years in women). Body weight, fat mass (FM), percentage FM, fat-free mass (FFM), and appendicular lean soft tissue mass were measured using the InBody 720 and 430 (Biospace Co. Ltd, Seoul, Korea). The values were then normalized by height in meters squared to determine body mass index (BMI), FM index (FMI), FFM index (FFMI), and skeletal muscle mass index (SMI).ResultsSimple means (standard deviation) of BMI, percentage FM, FMI, FFMI, and SMI were 23.4 (2.9) kg/m2, 24.9 (6.3)%, 5.96 (2.09) kg/m2, 17.4 (1.5) kg/m2, and 7.29 (0.76) kg/m2, respectively, in men and 22.7 (3.3) kg/m2, 31.7 (7.1)%, 7.40 (2.61) kg/m2, 15.3 (1.2) kg/m2, and 5.86 (0.67) kg/m2, respectively, in women. We then calculated quartiles and quintiles for these indices after stratifying for sex and 5-year age group. FFMI and SMI decreased significantly with age in both sexes (P < 0.001 for trends), but FFMI remained constant among the women with only a 1% decrease up to age 84 years. Percentage FM increased significantly, with age (P < 0.001 in men and P = 0.045 in women for trends), but FMI was unchanged in both sexes (P = 0.147 in men and P = 0.176 in women for trends).ConclusionThe present data should be useful in the clinical evaluation of body composition of older Japanese and for international comparisons. The small age-related decrease in FFMI may be a noteworthy characteristic of body composition change in older Japanese women.

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Section: Discussioncontrasting

confidence: 67%

Section: Discussionmentioning

confidence: 99%

Reference Values and Age Differences in Body Composition of Community-Dwelling Older Japanese Men and Women: A Pooled Analysis of Four Cohort Studies

et al. 2015

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“…However, in the majority of current epidemiological studies and clinical trials, the baseline BMI, an objective, simple and convenient method, is still utilized as the most common surrogate measure for obesity (24). Actually, BMI usually fails to provide accurate information on subject body composition due to its major limitation in distinguishing between lean body mass (including skeletal muscle, organs, bone, and connective tissue) and fat body mass (25). Evidence from imaging reports indicates that there can be substantial variation in the amount and distribution between muscular tissue and adipose tissue among cancer patients with identical BMIs (26).…”

mentioning

confidence: 99%

Does the “obesity paradox” really exist in lung cancer surgery? —maybe we should recognize what is the “obesity” first

Li¹,

Che²,

Liu³

et al. 2019

J. Thorac. Dis.

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“…However, absolute FFM and height-adjusted FFM (FFMI) were not associated with dietary protein intake. FFMI is a better indicator of non-fat tissue, accounting for differences in height within a population ( 37 ) . These results suggest that above-average intake of dietary protein as a percentage of total energy intake does not equate to higher levels of FFM in CHA.…”

Section: Discussionmentioning

confidence: 99%

A cross-sectional analysis of dietary protein intake and body composition among Chinese Americans

Popp

Beasley

et al. 2019

J Nutr Sci

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Favourable body composition has been associated with higher dietary protein intake. However, little is known regarding this relationship in a population of Chinese Americans (CHA), who have lower BMI compared with other populations. The aim of the present study was to assess the relationship between dietary protein intake, fat mass (FM) and fat-free mass (FFM) in CHA. Data were from the Chinese American Cardiovascular Health Assessment (CHA CHA) 2010–2011 (n 1707); dietary intake was assessed using an adapted and validated FFQ. Body composition was assessed using bioelectrical impedance analysis. The associations between protein intake (% energy intake) and BMI, percentage FM (FM%), percentage FFM (FFM%), FM index (FMI) and FFM index (FFMI) were examined using multiple linear regression adjusted for age, sex, physical activity, acculturation, total energy intake, sedentary time, smoking status, education, employment and income. There was a significant positive association between dietary protein and BMI (B = 0·056, 95 % CI 0·017, 0·104; P = 0·005), FM (B = 0·106, 95 % CI 0·029, 0·184; P = 0·007), FM% (B = 0·112, 95 % CI 0·031, 0·194; P = 0·007) and FMI (B = 0·045, 95 % CI 0·016, 0·073; P = 0·002). There was a significant negative association between dietary protein and FFM% (B = −0·116, 95 % CI −0·196, −0·036; P = 0·004). In conclusion, higher dietary protein intake was associated with higher adiposity; however, absolute FFM and FFMI were not associated with dietary protein intake. Future work examining the relationship between protein source (i.e. animal) and body composition is warranted in this population of CHA.

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Comparison of fat-free mass index and fat mass index in Chinese adults

Cited by 32 publications

References 23 publications

Reference Values and Age Differences in Body Composition of Community-Dwelling Older Japanese Men and Women: A Pooled Analysis of Four Cohort Studies

Reference Values and Age Differences in Body Composition of Community-Dwelling Older Japanese Men and Women: A Pooled Analysis of Four Cohort Studies

Does the “obesity paradox” really exist in lung cancer surgery? —maybe we should recognize what is the “obesity” first

A cross-sectional analysis of dietary protein intake and body composition among Chinese Americans

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