Behavioral patterns that increase or decrease risk of abdominal adiposity in adults

Silva, Danielle Cristina Guimarães da; Cunha, Kelly Aparecida da; Segheto, Wellington; Reis, Vanessa Guimarães; Morais, Sílvia Helena Oliveira; Pessoa, Milene Cristine; Longo, Giana Zarbato

doi:10.20960/nh.1228

Cited by 5 publications

(5 citation statements)

References 28 publications

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“…Moreover, a diet low in vegetables contributes to obesity and a pro-inflammatory adipokine profile [ 149 ]. A healthy pattern consisting of vegetables, fruits, juices, and exercise was found to be inversely associated with abdominal obesity [ 148 ].…”

Section: Discussionmentioning

confidence: 99%

The role of diet in renal cell carcinoma incidence: an umbrella review of meta-analyses of observational studies

Liao

Fang

Gou

et al. 2022

BMC Med

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Background Evidence associating diet with the incidence of renal cell carcinoma (RCC) is inconclusive. We aimed to summarize evidence associating dietary factors with RCC incidence and assess the strength and validity of this evidence. Methods We conducted an umbrella review of systematic reviews or meta-analyses (SRoMAs) that assessed the association between diet and RCC incidence. Through April 2021, PubMed, Web of Science, Embase, The Cochrane Library, Scopus, and WCRF were searched. Two independent reviewers selected studies, extracted data, and appraised the quality of SRoMAs. According to credibility assessment criteria, evidence can be divided into five categories: convincing (class I), highly suggestive (class II), suggestive (class III), weak (class IV), and nonsignificant (class V). Results Twenty-nine meta-analyses were obtained after screening. After excluding 7 overlapping meta-analyses, 22 meta-analyses including 502 individual studies and 64 summary hazard ratios for RCC incidence were included: dietary patterns or dietary quality indices (n = 6), foods (n = 13), beverages (n = 4), alcohol (n = 7), macronutrients (n =15), and micronutrients (n =19). No meta-analyses had high methodological quality. Five meta-analyses exhibited small study effects; one meta-analysis showed evidence of excess significance bias. No dietary factors showed convincing or highly suggestive evidence of association with RCC in the overall analysis. Two protective factors had suggestive evidence (vegetables (0.74, 95% confidence interval 0.63 to 0.86) and vitamin C (0.77, 0.66 to 0.90)) in overall analysis. One protective factor had convincing evidence (moderate drinking (0.77, 0.70 to 0.84)) in Europe and North America and one protective factor had highly suggestive evidence (cruciferous vegetables (0.78, 0.70 to 0.86)) in North America. Conclusions Although many meta-analyses have assessed associations between dietary factors and RCC, no high-quality evidence exists (classes I and II) in the overall analysis. Increased intake of vegetables and vitamin C is negatively associated with RCC risk. Moderate drinking might be beneficial for Europeans and North Americans, and cruciferous vegetables might be beneficial to North Americans, but the results should be interpreted with caution. More researches are needed in the future. Trial registration PROSPERO CRD42021246619

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Section: Discussionmentioning

confidence: 99%

The role of diet in renal cell carcinoma incidence: an umbrella review of meta-analyses of observational studies

Liao

Fang

Gou

et al. 2022

BMC Med

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“… Waist Circumference (WC), Hip Circumference (HC), Waist-to-hip ratio (WHR) and waist-to- height ratio (WHtR) For measurements of waist circumference (cm) and hips (cm), a “fiber glass” measuring tape was used, with divisions of 1 mm. WC was measured at the midpoint between the iliac crest and the last rib, and HC was measured at the most prominent area of the buttocks [ 27 ]. For the WHR calculation, the waist circumference measurement value was divided by the hip circumference value.…”

Section: Methodsmentioning

confidence: 99%

Cutoff points of adiposity anthropometric indices for low muscle mass screening in middle-aged and older healthy women

Nascimento

Vieira

Gonçalves

et al. 2021

BMC Musculoskelet Disord

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Background The reduction of female sex hormones causes changes in the contractile properties of muscles as well as infiltration of fat in the muscle tissue. This results in a consequent decline in muscle strength. These changes are related to higher levels of functional impairment and physical disability. In this sense, several anthropometric indices have been used to quantify body and visceral fat. Thus, the objective of this paper is to propose cutoff points for adiposity anthropometric indices in order to identify low muscle mass, as well as to analyze the relationship between these indices and low muscle mass in middle-aged and older women. Methods Cross-sectional analytical study carried out in the Northeast of Brazil. The sample was formed by 593 women between 40—80 years old. Data collection included anthropometric assessment (BMI: Body Mass Index – WC: Waist Circumference – WHR: Waist-to-hip Ratio – WHtR: Waist-to-height Ratio – CI: Conicity Index – BAI: Body Adiposity Index – VAI: Visceral Adiposity Index – LAP: Lipid Accumulation Product), bioimpedance test and biochemical dosage. Moreover, sociodemographic data and practice of physical activity were collected. Descriptive statistics, Student's t-test, ROC curves, chi-squared and logistic regression were performed. Results The participants had a mean age of 53.11 (8.89) years, BMI of 28.49 (5.17) kg/m2 and WC of 95.35 (10.39). The prevalence of low muscle mass was 19.4%. Based on sensitivity and specificity of adiposity anthropometric indices, cutoff points were developed to identify the presence of low muscle mass (p < 0.05), except for VAI. After logistic regression, WC (OR = 6.2; CI 95%: 1.4—28.1), WHR (OR = 1.8; CI: 1.0—3.4), WHtR (OR = 5.0; CI 95%: 1.0—23.7) and BAI (OR = 14.5; CI 95%: 6.6—31.7) were associated with low muscle mass. Conclusions All anthropometric indices, except VAI, showed adequate accuracy in identifying low muscle mass in women, especially those that took into account WC. This suggests that they can become accessible and also be cost-effective strategies for assessing and managing health outcomes related to muscle mass analysis.

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“…For waist circumference (cm) and hip circumference (cm) measurements, a "fiber glass" measuring tape with 1 mm divisions was used. Waist circumference (WC) was measured at the midpoint between the iliac crest and the last rib, and hip circumference (HC) was measured at the most prominent area of the buttocks [16]. For the WHR calculation, the WC measurement was divided by HC.…”

Section: Waist To Hip Ratio (Whr)mentioning

confidence: 99%

“…Regarding adiposity, the most commonly used measures for its assessment are the classic and well-known measures, such as the body mass index (BMI) and the waist-to-hip ratio (WHR) [ 15 , 16 ]. However, other indices have become prominent in recent years, such as the conicity index (CI), body adiposity index (BAI), and visceral adiposity index (VAI) [ 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

Exploring the relationships between anthropometric indices of adiposity and physical performance in middle-aged and older Brazilian women: a canonical correlation analysis

et al. 2022

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Behavioral patterns that increase or decrease risk of abdominal adiposity in adults

Cited by 5 publications

References 28 publications

The role of diet in renal cell carcinoma incidence: an umbrella review of meta-analyses of observational studies

The role of diet in renal cell carcinoma incidence: an umbrella review of meta-analyses of observational studies

Cutoff points of adiposity anthropometric indices for low muscle mass screening in middle-aged and older healthy women

Exploring the relationships between anthropometric indices of adiposity and physical performance in middle-aged and older Brazilian women: a canonical correlation analysis

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