Analysis of body composition methods in a community sample of African American women

Development and validation of new bioelectrical impedance equations to accurately estimate fat mass percentage in a heterogeneous Caucasian population

Fat mass percentage (%FM) is frequently determined by nutritionists and personal trainers with bioelectrical impedance analysis (BIA) devices. The aims of the present study were: (1) to develop new regression equations using dual-energy X-ray absorptiometry (DXA) as the reference method for estimating %FM in a heterogeneous Caucasian population with a foot-to-hand device (BIA-101) and a hand-to-hand device (BIA-TELELAB) and (2) to compare the new equations with the manufacturers' equations. We hypothesized that the new equations would lead to more accurate estimations compared with DXA. A total of 218 healthy Caucasian participants aged 18 to 65 years were divided into a development group and a validation group. The accuracy of the different equations was assessed by mean differences, coefficient of determination, standard error of the estimate (SEE), intraclass correlation coefficients (ICC), and Bland-Altman plots. The proposed equation for BIA-101 explained 90.0% of the variance in the DXA-derived %FM, with a low random error (SEE = 2.98%), excellent agreement (ICC = 0.94), no fixed bias, and relatively low individual variability (5.86%). For BIA-TELELAB, the proposed equation explained 88.0% of the variance in the DXA-derived %FM, with a low random error (SEE = 3.27%), excellent agreement (ICC = 0.93), no fixed bias, and relatively low individual variability (6.37%). The results obtained for the manufacturers' equations confirm that these equations are not a good option for %FM assessment. As hypothesized, the new regression equations for BIA-101 and BIA-TELELAB devices can accurately estimate %FM in a heterogeneous Caucasian population with a broad age range.

Is BMI a Useful Indicator of Prenatal Health Among Black American Women?

OBJECTIVE

BMI is commonly used to measure risk to prenatal health but may not be sensitive to adiposity-associated health problems for Black women. The aim of the present study was to test associations between indices of prenatal health and BMI in Black women.

METHODS

Data were from 652 women enrolled in two studies. Height and weight were used to calculate BMI. Depression and perceived stress were measured via maternal report, systemic inflammation via C-reactive protein (CRP), and nutrition by the ratio of omega-3 docosahexaenoic acid to omega-6 arachidonic acid fatty acids.

RESULTS

Neither perceived stress, depression, nor fatty acids were associated with prenatal BMI. CRP levels were positively associated with BMI (beta = 6.56, t = 13.30, p < .001). The prevalence of high-risk levels of CRP (> 3 mg/L) was below 10% for all weight classes except for BMI ≥ 40.

CONCLUSIONS

Results suggest that BMI may not be a sensitive index of adiposity related risk to prenatal health for Black women.

Prediction of body fat percentage: Development and validation of new anthropometric equations

INTRODUCTION

The aim of this study was to test the validity of existing equations, retrieved from the literature, in the Algerian adult population. To develop, and validate, new predictive equations for body fat percentage (%BF) using simple and easy-to-measure anthropometric parameters.

METHODS

This is a cross-sectional study including 877 Algerian adults who underwent a body composition assessment by the direct segmental multi-frequency bioelectrical impedance technique (Inbody-770). Participants were randomly divided into two groups: the development group (n = 577) and the validation group (n = 300). To develop the equations, multiple linear regression models were analyzed. The predictive performance of the developed equations was compared with the direct technique. The following validation tests were used: Student's t-test for paired samples, correlation, and Bland-Altman diagram. Diagnostic accuracy has also been assessed.

RESULTS

Four existing equations were tested, and all showed statically significant bias. Four new equations were developed; all had satisfactory predictive performance, with a correlation coefficient ranging from 0.72 to 0.94 in men and 0.87 to 0.93 in women. The best-fitting equation was based on body mass index, waist-to-hip ratio, and chest circumference. The diagnostic accuracy of this equation was 96.7% in men and 95.3% in women.

CONCLUSION

The newly developed equations based on anthropometric parameters can serve as a simple tool for the accurate prediction of BF% in adult subjects, at both individual and epidemiological levels.

Validity of Body-Composition Methods across Racial and Ethnic Populations

Multi-compartment body-composition models that divide the body into its multiple constituents are the criterion method for measuring body fat percentage, fat mass, and fat-free mass. However, 2- and 3-compartment body-composition devices such as air displacement plethysmography (ADP), DXA, and bioelectrical impedance devices [bioelectrical impedance analysis (BIA)] are more commonly used. Accurate measures depend on several assumptions, including constant hydration, body proportion, fat-free body density, and population characteristics. Investigations evaluating body composition in racial and ethnic minorities have observed differences in the aforementioned components between cohorts. Consequently, for racial/ethnic minority populations, estimates of body composition may not be valid. The purpose of this review was to comprehensively examine the validity of common body-composition devices in multi-ethnic samples (samples including >1 race/ethnicity) and in African-American, Hispanic, Asian, and Native American populations. Based on the literature, DXA produces valid results in multi-ethnic samples and ADP is valid for Hispanic and African American males when utilizing race-specific equations. However, for DXA and ADP, there is a need for validity investigations that include larger, more racially diverse samples, specifically including Hispanic/Latinx, Asian, Native American adults, and African-American females. Technology has advanced significantly since initial validity studies were conducted; therefore, conclusions are based on outdated models and software. For BIA, body-composition measures may be valid in a multi-ethnic sample, but the literature demonstrates disparate results between races/ethnicities. For BIA and ADP, the majority of studies have utilized DXA or hydrostatic weighing as the criterion to determine validity; additional studies utilizing a multi-compartment model criterion are essential to evaluate accuracy. Validity studies evaluating more recent technology in larger, more racially/ethnically diverse samples may improve our ability to select the appropriate method to accurately assess body composition in each racial/ethnic population.

Healthy Hearts for an Abundant Life: Feasibility of a Culturally Adapted Cardiovascular Disease Prevention Curriculum for African American Women

Background: This study tested the feasibility of implementing Healthy Hearts for an Abundant Life (HHAL), a cultural adaptation for African American (AA) women of the evidence-based cardiovascular disease prevention program Strong Women-Healthy Hearts (SWHH). Methods: Using a quasi-experimental pre-post study design, this 12-week program was implemented in four faith-based organizations between 2017 and 2018. Eligible participants were AA women between 40 and 65 years who had a body mass index of 25 or higher and were currently sedentary. HHAL program participants met weekly for 2-h sessions led by program leaders. The curriculum has four modules: total health; relationships, family, and networks; material security and the environment; and emotional wellness. Each class included walking for 30 min, goal-setting session, and a group dialog called "making it work" for building collective efficacy. Results: Of the 27 participants (mean age=54.2±5.9), 24 completed postassessments (93% retention rate). All outcome measures proved feasible and weekly program attendance was 73%. Findings from in-depth interviews show high satisfaction with the program and suggest extending the class time and adding cooking demonstrations. Conclusions: The culturally adapted HHAL proved feasible and was positively received by the participants. Future studies will evaluate the effectiveness of the program.

Improving heart health among Black/African American women using civic engagement: a pilot study

BACKGROUND

Despite increased risk for cardiovascular disease (CVD) and related conditions, evaluations of health interventions indicate that Black/African American women are less likely to benefit than their white counterparts and are not as likely to engage in behaviors that reduce CVD risk. The purpose of this study was to test the feasibility and effectiveness of civic engagement as an intervention strategy to address heart health in Black/African American women.

METHODS

Using a quasi-experimental pre-post study design, civic engagement was tested by convening a convenience sample of self-identified Black/African American women, ages 30-70 years, English-speaking, and BMI ≥25.0 (n = 28) into "Change Clubs" in four churches. Feasibility was examined through adherence, satisfaction, retention, and ability of Change Clubs to meet at least 50% of self-identified action steps for community change. Effectiveness data included: dietary intake, measures of physical activity, cardiorespiratory fitness, blood pressure, and anthropometrics. Psychosocial factors hypothesized to serve as the mechanisms by which civic engagement enacts behavior change were also assessed.

RESULTS

At baseline, the study sample (n = 28) had a mean age of 50.5 y; 53.6% had an associate degree or higher; 60.7% had an income of $35,000 or higher; and 57.4% were employed full time. At the conclusion of the study, all participants were satisfied with the progress of their Change Club and with the overall experience and Change Clubs met their self-identified action steps for community change. The intervention had a significant effect on finish time on the cardiorespiratory fitness test (p < 0.001) and systolic blood pressure (p < 0.001).

CONCLUSIONS

Study results suggest feasibility and evidence of preliminary effectiveness of using a civic engagement approach to address behavior change in a way that is appealing and acceptable to Black/African American women.

TRIAL REGISTRATION

NCT02173366.

Dietary Patterns as Predictors of Body Fat and BMI in Women: A Factor Analytic Study

Purpose.

To identify independent patterns of diet using factor analysis to determine the extent to which dietary patterns account for differences in body fat percentage (BF%) and body mass index (BMI). Also, to ascertain the extent to which the associations are influenced by age, education, menopause, energy intake, and physical activity.

Design.

Study design was cross-sectional.

Setting.

Study setting was approximately 20 cities in the Mountain West.

Subjects.

The study included 281 apparently healthy female nonsmokers.

Measures.

Diet was assessed using 7-day weighed food records, and foods were categorized using the American Diabetes and American Dietetic Associations Exchange Lists and expressed as servings per 1000 kcal. BF% was measured using the Bod Pod, and physical activity was estimated using accelerometers worn for 1 week.

Analysis.

We used factor analysis, general linear models, and partial correlations.

Results.

Three dietary patterns were identified: (1) Prudent Pattern, (2) Low-fat Milk, and (3) Meat. Higher consumption of the Prudent Pattern corresponded with significantly lower BF% (F = 8.5, p = .0038) and BMI (F = 4.4, p = .0363). The Low-fat Milk pattern was inversely related to BF% (F= 5.4, p = .0207) and BMI (F= 9.5, p = .0023). Higher intake of the Meat pattern was related to higher levels of BF% (F= 4.5, p= .0346) and BMI (F= 4.2, p = .0418).

Conclusion.

These findings support an association between dietary patterns and body composition. Dietary patterns reflect the complex interrelationships inherent in day-to-day eating and are strongly related to differences in BF% and BMI in women.

Body composition in urban South Asian women; development of a bioelectrical impedance analysis prediction equation

BACKGROUND

Assessment of body composition plays a significant role in combating chronic disease among South Asians. Accurate assessment of body composition by bioelectrical impedance analysis (BIA) requires population-specific equations which are currently unavailable for urban South Asian women.

AIM

To assess validity of direct BIA assessment and selected equations for prediction of total body water (TBW), against Deuterium ((2)H2O) dilution and develop and validate a population-specific TBW equation for urban South Asian women.

SUBJECTS AND METHOD

Data of 80 urban Sri Lankan women (30-45 years) were used for this analysis. Body composition was assessed by (2)H2O dilution (reference) and BIA. Available BIA equations were assessed for validity. A new TBW equation was generated and validated.

RESULTS

Direct BIA measurements and other equations did not meet validation criteria in predicting TBW. TBW by the new equation (TBW = 3.443 + 0.342 × (height(2)/impedance) + 0.176 × weight) correlated (p < 0.001) with TBW by reference method. TBW using the new equation was not significantly different (25.30 ± 2.4 kg) from the reference (25.32 ± 2.7 kg).

CONCLUSION

Direct use of TBW by instrument and existing equations are less suitable for this population. The new TBW equation is suitable for body composition assessment in urban South Asian women.

Depression, stress and body fat are associated with binge eating in a community sample of African American and Hispanic women

OBJECTIVE

The purpose of this study was to examine the relationships among depressive symptoms, stress and severity of binge eating symptoms in a community sample of African American and Hispanic or Latina women.

METHOD

Women (African American, n = 127; Hispanic or Latina, n = 44) completed measures of body composition, stress, depression, and binge eating.

RESULTS

Scores on a depressive symptom scale indicated that 24.0 % of participants exhibited clinically significant levels of depressive symptoms. Mean binge eating scores were below the threshold for clinically diagnosed binge eating (12.99 ± 7.90). Mean stressful event scores were 25.86 ± 14.26 and the average stress impact score was 78.36 ± 55.43. Linear regression models found that body composition, stress impact score, and being classified as having clinically significant levels of depression were associated with severity of binge eating symptoms.

CONCLUSION

Higher levels of percent body fat, a CES-D score ≥16 and higher WSI-Impact scores were associated with greater severity of binge eating symptoms.

Relationship of fruit, vegetable, and fat consumption to binge eating symptoms in African American and Hispanic or Latina women

African American (AA) and Hispanic or Latina (HL) women have the highest rates of overweight and obesity of any gender and ethnic groups. Binge eating disorder (BED) is the most common eating disorder in the United States and is linked to overweight and obesity. Traditional treatments for BED may not be appropriate or viable for AA and HL women, because they are less likely than whites to seek treatment for psychological conditions and may have less access to healthcare. Improving dietary habits in those with BED or subthreshold BED may reduce binge eating symptoms. The current study investigated the association of fruit, vegetable, and fat consumption to binge eating symptoms in AA and HL women. AA and HL women in the Health Is Power (HIP) study (N=283) reported fruit and vegetable intake, fat intake, and binge eating symptoms. Women were middle aged (M=45.8 years, SD=9.2) and obese (M BMI=34.5 kg/m(2), SD=7.5). Greater fat consumption was correlated with lower fruit and vegetable consumption (r(s)=-0.159, p<0.01). Higher BMI (r(s)=0.209, p<0.01), and greater fat consumption (r(s)=0.227, p<0.05) were correlated with increased binge eating symptoms. Multiple regression analysis demonstrated that for HL women (β=0.130, p=0.024), higher BMI (β=0.148, p=0.012), and greater fat consumption (β=0.196, p=0.001) were associated with increased binge eating symptoms (R(2)=0.086, F(3,278)=8.715, p<0.001). Findings suggest there may be a relationship between fat consumption and binge eating symptoms, warranting further study to determine whether improving dietary habits may serve as a treatment for BED in AA and HL women.

Sitting time and cardiometabolic risk factors in african american overweight women

Findings from previous research linking sedentary time with cardiometabolic risk factors and body composition are inconsistent, and few studies address population groups most vulnerable to these compromising conditions. The purpose of this paper was to investigate the relationship of sitting time to cardiometabolic risk factors and body composition among African American women. A subsample of African American women (N = 135) completed health and laboratory assessments, including measures of blood pressure, resting heart rate, cholesterol, triglycerides, glucose, body mass index, body fat, sitting time, and demographics. Simultaneous, adjusted regression models found a positive association between weekend sitting time and glucose and an inverse association between weekly sedentary time and cholesterol (ps < .05). There were no significant associations between sedentary behavior and body composition. The unexpected relationship between sedentary time and cholesterol suggests that the relationship of sedentary behavior to cardiometabolic risk factors may depend on existing characteristics of the population and measurement definition of sedentary behavior. Results suggest distinctly different relationships between weekend and weekday sitting time, implicating a need for careful measurement and intervention that reflects these differences.