Reply on “Significant change for body composition data”

Nascimento, Dahan da Cunha; Amorim, Diane Nogueira Paranhos; Stone, Whitley; Alves, Vicente Paulo; Vilaça, Karla Helena Coelho

doi:10.1016/j.afos.2022.09.004

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…BMI, waist circumference, and body composition measures were analyzed as categorical (4 quartiles) and continuous variables. Because there is no uniformly accepted definition for a significant difference in waist circumference 22 and body composition, 23 a tolerance limit of a unit increase (10% increase for muscle mass divided by weight and fat mass divided by weight) and an SD increase were used for all studied measures. The breast cancer incidence rate was calculated for each quartile per 100 000 person-years.…”

Section: Discussionmentioning

confidence: 99%

Adiposity, Body Composition Measures, and Breast Cancer Risk in Korean Premenopausal Women

Tran,

Chang,

Choi

et al. 2024

JAMA Netw Open

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ObjectiveTo investigate the association between body composition parameters and breast cancer (BC) risk in premenopausal women.Design, Setting, and ParticipantsProspective cohort study using data from the Kangbuk Samsung Cohort Study. Participants were women aged 20 to 54 years who were enrolled from 2011 to 2019 and followed up for BC development until December 31, 2020. Data were analyzed from June to August 2023.ExposuresTrained nurses conducted anthropometric measurements and assessed body composition using segmental bioelectric impedance analysis. The analysis encompassed adiposity measures such as body mass index (BMI), waist circumference, and body composition parameters, including muscle mass, fat mass, ratio of muscle mass to weight, ratio of fat mass to weight, and fat mass index.Main outcomes and measuresAdjusted hazard ratios (aHR) for BC during the follow-up period.ResultsAmong 125 188 premenopausal women, the mean (SD) age was 34.9 (6.3) years. During a mean (range) follow-up of 6.7 (0.5-9.9) years, 1110 incident BC cases were identified. The mean (SD) BMI and waist circumference were 21.6 (3.1) and 75.3 (8.2) cm, respectively. Higher BMI and waist circumference were associated with decreased risk, with an aHR of 0.89 (95% CI, 0.84-0.95) per SD increase in BMI and 0.92 (95% CI, 0.86-0.98) per SD increase in waist circumference. A higher ratio of fat mass to weight was associated with decreased BC risk (aHR, 0.92; 95% CI, 0.86-0.99 per SD increase), whereas the opposite trend was observed for the ratio of muscle mass to weight, with an aHR of 1.08 (95% CI, 1.02-1.15) per SD increase. The results remained consistent even after additional adjustments for height in the model. The fat mass index was also inversely associated with BC risk, with an HR of 0.90 (95% CI, 0.85-0.97) per SD increase.Conclusions and RelevanceIn this cohort study of premenopausal women, a higher level of adiposity, represented by increased BMI, waist circumference, and fat mass, was consistently associated with decreased breast cancer risk. Conversely, muscle mass and its ratio to weight displayed opposite or inconsistent patterns. These findings suggest an inverse association between excess adiposity and the risk of BC in premenopausal women, confirming earlier findings that BMI is an indirect measure of adiposity.

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Section: Discussionmentioning

confidence: 99%

Adiposity, Body Composition Measures, and Breast Cancer Risk in Korean Premenopausal Women

Tran,

Chang,

Choi

et al. 2024

JAMA Netw Open

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“…It has been mentioned that the minimal clinically important difference is classified as clinically important and is considered the smallest effect required to produce clinically important results (116) . The data for minimal clinically important difference regarding body composition are limited; however, a wide range of studies have confirmed that the risk of metabolic disorders could be decreased whenever they saw reductions of 5 % of initial weight (117,118) . Warkentin et al showed that weight reductions to achieve minimal clinically important difference for most health-related quality-of-life instruments are markedly higher than the conventional threshold of 5 % to 10 %.…”

Section: Discussionmentioning

confidence: 99%

The effects of conjugated linoleic acid supplementation on anthropometrics and body composition indices in adults: a systematic review and dose–response meta-analysis

Asbaghi,

Shimi,

Hosseini Oskouie

et al. 2023

Br J Nutr

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Prior meta-analytic investigations over a decade ago rather inconclusively indicated that conjugated linoleic acid (CLA) supplementation could improve anthropometric and body composition indices in the general adult population. More recent investigations have emerged, and an up-to-date systematic review and meta-analysis on this topic must be improved. Therefore, this investigation provides a comprehensive systematic review and meta-analysis of randomized controlled trials (RCTs) on the impact of CLA supplementation on anthropometric and body composition (body mass [BM], boy mass index [BMI], waist circumference [WC], fat mass [FM], body fat percentage [BFP], and fat-free mass [FFM]) markers in adults. Online databases search, including PubMed, Scopus, the Cochrane Library, and Web of Science up to March 2022, were utilized to retrieve RCTs examining the effect of CLA supplementation on anthropometric and body composition markers in adults. Meta-analysis was carried out using a random-effects model. The I2 index was used as an index of statistical heterogeneity of RCTs. Among the initial 8351 studies identified from electronic databases search, 70 RCTs with 96 effect sizes involving 4159 participants were included for data analyses. The results of random-effects modeling demonstrated that CLA supplementation significantly reduced BM (WMD: -0.35, 95% CI: -0.54, -0.15, p<0.001), BMI (WMD: -0.15, 95% CI: -0.24, -0.06, p=0.001), WC (WMD: -0.62, 95% CI: -1.04, -0.20, p=0.004), FM (WMD: -0.44, 95% CI: -0.66, -0.23, p<0.001), BFP (WMD: -0.77 %, 95% CI: -1.09, -0.45, p<0.001), and increased FFM (WMD: 0.27, 95% CI: 0.09, 0.45, p=0.003). The high-quality subgroup showed that CLA supplementation fails to change FM and BFP. However, according to high-quality studies, CLA intake resulted in small but significant increases in FFM and decreases in BM and BMI. This meta-analysis study suggests that CLA supplementation may result in a small but significant improvement in anthropometric and body composition markers in an adult population. However, data from high-quality studies failed to show CLA’s body fat-lowering properties. Moreover, it should be noted that the weight loss properties of CLA were small and may not reach clinical importance.

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Reply on “Significant change for body composition data”

Cited by 2 publications

References 10 publications

Adiposity, Body Composition Measures, and Breast Cancer Risk in Korean Premenopausal Women

Adiposity, Body Composition Measures, and Breast Cancer Risk in Korean Premenopausal Women

The effects of conjugated linoleic acid supplementation on anthropometrics and body composition indices in adults: a systematic review and dose–response meta-analysis

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