Dissatisfaction with body image and weight gain in middle-aged women: A cross sectional study.

OBJECTIVES: To investigate the relationship between weight gain and body image perception in in middle-aged women. METHODS: Cross-sectional study with 453 women. Body image was assessed using the Stunkard scale, in which women were classified as: satisfied or dissatisfied (general, thinness or obesity). The identification of possible factors associated with body image dissatisfaction was performed using binary logistic regression analysis. RESULTS: The mean age was 55.7 (±9.6) years; 80.8% were classified as dissatisfied with body image. As for body composition, women satisfied with their body image had lower values of body fat and higher values of lean mass. In the logistic regression, for general dissatisfaction and obesity, the associated variables were BMI, education and physical activity. As for "dissatisfaction with thinness", only BMI was associated. CONCLUSION: Thus, the prevalence of body image dissatisfaction is high in women and part of associated factors are linked to lifestyle behaviors.

Diagnostic Accuracy of the Short Physical Performance Battery in Detecting Frailty and Prefrailty in Community-Dwelling Older Adults: Results From the PRO-EVA Study.

BACKGROUND AND PURPOSE: The Short Physical Performance Battery (SPPB) is widely used for older adults since it has a high level of validity, reliability, and responsiveness in measuring function in this population. However, only a few studies of diagnostic accuracy have assessed SPPB capacity in detecting frailty and prefrailty by estimating more detailed measurement properties. Thus, the present study aimed to evaluate the SPPB's diagnostic accuracy in detecting frailty and prefrailty, in addition to identifying cut-off points for walking time and chair stand time. METHODS: This is a cross-sectional study composed of 786 community-dwelling older adults 60 years or older, in which sociodemographic and anthropometric data, frailty phenotype, and total SPPB score, as well as walking time and chair stand time, were assessed. Analysis of a receiver operating characteristic curve was performed to identify the cut-off point, sensitivity, and specificity in the total SPPB score, as well as the walking time and chair stand time for frailty and prefrailty screening. Accuracy and positive and negative predictive values were subsequently calculated. RESULTS AND DISCUSSION: The cut-off points identified for the total SPPB score, walking time, and chair stand time were 9 points or less (accuracy of 72.6%), 5 seconds or less, and 13 seconds or less, respectively, for frailty screening and 11 points or less (accuracy of 58.7%), 4 seconds or less, and 10 seconds or less, respectively, for prefrailty screening. The walking time showed greater frailty discriminatory capacity compared with the chair stand time (effect size = 1.24 vs 0.64; sensitivity = 69% vs 59%; and specificity = 84% vs 75%). CONCLUSIONS: The total SPPB score has good diagnostic accuracy to discriminate between nonfrail and frail older adults using a cut-off point of 9 or less, being better to identify the true negatives (older adults who are not frail). Although the SPPB's diagnostic accuracy measures for detecting prefrailty were low to moderate, this instrument can help in screening prefrail older adults from the cutoff point of 11 or less in the total SPPB score. Identification of prefrail older adults enables implementing early treatment in this target audience and can prevent their advance to frailty.

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

OBJECTIVES: This study analyzed the influence of anthropometric indices of adiposity on the physical performance of middle-aged and older women. METHODS: A cross-sectional study was conducted among 368 women from 50 years to 80 years old. Anthropometric and biochemical characteristics were analyzed, and physical performance was evaluated. The statistical analysis used measures of central tendency and dispersion for descriptive data, Pearson correlations to demonstrate the initial associations between the variables, and canonical correlation (CC) to evaluate the relationship between the set of anthropometric adiposity indices and performance-related variables. RESULTS: The participants had a mean age of 58.57±8.21 years, a visceral adiposity index of 7.09±4.23, a body mass index of 29.20±4.94 kg/m2, and a conicity index of 1.33±0.07. The average handgrip strength was 25.06±4.89 kgf, gait speed was 1.07±0.23 m/s, and the mean Short Physical Performance Battery (SPPB) score was 10.83±1.36. The first canonical function presented the highest shared variance, CC, and redundancy index (cumulative percentage of variance, 82.52; Wilks' lambda, 0.66; CC, 0.532; p<0.001). From the analysis of this canonical function, the conicity index (-0.59) displayed inverse correlations with handgrip strength (0.84) and the SPPB (0.68), as well as a direct correlation with gait speed (-0.43). CONCLUSIONS: In middle-aged and older women, there was an inverse relationship between the conicity index and muscle strength and power, while a direct relationship was found between the same index and gait speed.

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

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.