Anthropometric Characteristics,Dietary Patterns and Risk of Type 2 Diabetes Mellitus in Vietnam

Objective: To determine the impact of anthropometric characteristics and dietary patterns on Type 2 diabetes mellitus in Vietnam.

Methods: Data from 144 subjects (9m/39f newly diagnosed diabetics; 18m/78f control subjects) were analyzed in this case-control study. Height, weight, waist and hip circumferences and percent body fat were measured. Dietary intakes were assessed by 24-hour recall on three non-consecutive weekdays. Fasting blood samples were collected for the analysis of plasma glucose, fructosamine, protein and lipid concentrations.

Results: Although the body mass index (BMI, kg/m²) was similar between diabetic and control subjects, diabetic subjects had significantly greater percent body fat (31.1 ± 5.8% vs. 27.7 ± 6.2%) and waist-hip ratios (WHR, 0.91 ± 0.07 vs. 0.86 ± 0.08). Diabetic subjects had higher intakes of protein (p < 0.01), especially animal protein (p < 0.001), and consumed more meat (p < 0.01) than control subjects. Percent body fat and WHR were positively associated with diabetes (odds ratios [OR] 1.53 [95%CI 1.29–1.79] and 1.09 [95% CI 0.89–1.58], respectively) as were protein intake (OR 1.21 [95% CI 1.12–1.31]) and animal protein intake (OR 1.18 [95% CI 1.10–1.26]).

Conclusions: This study indicates that percent body fat and WHR are risk factors associated with diabetes even when the BMI is normal. Evolving dietary patterns with increasingly more protein and meat consumption may also contribute to the deterioration of glucose metabolism among Vietnamese people.     

Can EGCG Reduce Abdominal Fat in Obese Subjects?

Objective: To evaluate metabolic effects of epigallocatechin gallate (EGCG) supplementation when combined with a program of regular aerobic exercise in overweight/obese post-menopausal women.

Methods: Thirty-eight overweight or obese postmenopausal women exercised at moderate intensity, viz. walking three times per week for 45 min at 75% of age-predicted maximum heart rate (HR), and took a 150 mg capsule of EGCG (Teavigo®) or placebo (lactose) twice daily for 12 weeks. Blood parameters (lipids, glucose and insulin), blood pressure, heart rate, arterial function and anthropometry were assessed at 0, 6 and 12 wk. At wk 0 and 12, body composition was assessed by dual energy X-ray absorptiometry (DXA) and abdominal fat was assessed by DXA and computed tomography (CT).

Results: Waist circumference (p < 0.01), total body fat (p < 0.02), abdominal fat (by DXA) (p < 0.01) and intra abdominal adipose tissue (by CT) (p < 0.01) were reduced in both treatment groups, with no difference between placebo and Teavigo®. Teavigo® significantly decreased resting HR (p < 0.01) and reduced plasma glucose in subjects with impaired glucose tolerance (p < 0.05).

Conclusions: Moderate consumption of EGCG can improve the health status of overweight individuals undergoing regular exercise by reducing HR and plasma glucose concentrations. Loss of body fat, however, may require a higher intake of EGCG, other catechins or addition of metabolic stimulants.     

Association between Dietary Conjugated Linoleic Acid and Bone Mineral Density in Postmenopausal Women

Objective: To determine if dietary conjugated linoleic acid (CLA) is associated with bone mineral density (BMD) of different skeletal sites in postmenopausal women.

Methods: A cross-sectional analysis in 136 Caucasian, healthy, postmenopausal women, mean age 68.6 years. BMD and soft tissue were assessed by dual energy x-ray abosorptiometry (DXA). Energy, calcium, protein, fat, CLA and other relevant nutrients were estimated using 3 day dietary records. Supplement use was recorded as well. Current and past physical activity were determined using the Allied Dunbar National Fitness Survey for older adults.

Results: CLA (63.1 ± 46.8 mg, mean ± SD) was a significant predictor of Ward’s triangle BMD (p = 0.040) in a multiple regression model containing years since menopause (18.5 ± 8.4 y), lean tissue, energy intake (1691 ± 382 kcal/day) dietary calcium (873 ± 365 mg), protein (70.6 ± 18.6 g), fat (57.9 ± 23.9 g), zinc (19.2 ± 13.6 mg), and current and past physical activity, with R²_adj = 0.286. Subjects were also divided into groups below (Group 1) and above (Group 2) the median intake for CLA. Group 2 had higher BMD in the forearm, p = 0.042, and higher BMD in the hip, lumbar spine and whole body, however statistical significance was not reached.

Conclusion: These findings indicate dietary CLA may positively benefit BMD in postmenopausal women. More studies are warranted examining the relationship between dietary CLA and BMD.     

Girls' dairy intake, energy intake, and weight status

We explored the relationships among girls' weight status, dairy servings, and total energy intake. The hypothesis that consuming dairy could reduce risk for overweight was evaluated by comparing energy intake and weight status of girls who met or consumed less than the recommended three servings of dairy per day. Participants included 172 11-year-old non-Hispanic white girls, assessed cross-sectionally. Intakes of dairy, calcium, and energy were measured using three 24-hour recalls. Body mass index and body fat measures from dual-energy x-ray absorptiometry were obtained. Because preliminary analyses suggested systematic underreporting of energy intake, the relationships among dairy servings and measures of weight status were examined for the total sample and for subsamples of under-, plausible, and overreporters. Data for the total sample provided support for the hypothesized relationship among weight status, dairy servings, and energy intake. Thirty-nine percent of girls reported consuming the recommended >/=3 servings of dairy per day; these girls also reported higher energy intake but had lower body mass index z scores and body fat than the girls who consumed fewer than three dairy servings each day. Among plausible reporters, no relationship between dairy intake and weight status was noted. This discrepancy may be attributable to a high percentage (45%) of overweight underreporters in the total sample. Our findings reveal that reporting bias, resulting from the presence of a substantial proportion of underreporters of higher weight status, can contribute to obtaining spurious associations between dairy intake and weight status. These findings underscore the need for randomly controlled trials to assess the role of dairy in weight management.     

Relationship of Diet, Abdominal Obesity, and Physical Activity to Plasma Lipoprotein Levels in Asian Indian Physicians Residing in the United States

Objective To examine the relationship of total fat, saturated fat, carbohydrate and energy intake, leisure-time activity, waist-to-hip ratio (WHR), and body mass index to the prevalence of atherogenic plasma triglyceride (TG) and high-density lipoprotein cholesterol (HDL-C) levels in Asian Indians living in the United States. High plasma TG and low HDL-C levels have been documented in Asian Indians worldwide.Design This exploratory study examined medical history, demographics, anthropometries, plasma lipids levels, food intake frequency, and self-reported leisure-time activity.Subjects 153 Asian Indian male physicians (mean age=47 years) were recruited at two annual national conferences of the American Association of Physicians from India, with free medical assessments as incentives.Statistical analyses performed Correlational and multiple regression analyses were performed.Results Subjects’ diets averaged 56% energy from carbohydrate, 32% from total fat, and 8% from saturated fat. High total fat intake was associated with high WHR (r=.2l, P<.01) and high total carbohydrate intake (grams per day) was associated with high TG level (r=.24, P<.05). Leisure-time activity averaged 136 minutes/week and negatively correlated with total plasma cholesterol level (r=−.22, P<.01) and low-density lipoprotein cholesterol level (r=−.25, P<.001).Applications Dietitians should recommend moderate dietary carbohydrate intake and meal patterns with energy distributed throughout the day, in addition to decreasing fat consumption, to Asian Indian clients at risk for coronary artery disease. High carbohydrate intake and uneven diurnal distribution (no breakfast and large evening meals) are associated with high TG and low HDL-C levels in this population. J Am Diet Assoc. 1996; 96:257-261.     

Healthier Dietary Pattern and Lower Risk of Metabolic Syndrome in Physically Active Postmenopausal Women

Objectives: To investigate the relationship between habitual physical activity and dietary intake, body composition, metabolic and hormonal variables, and cardiovascular risk factors in postmenopausal women with no evidence of cardiovascular disease.

Methods: In this cross-sectional study, 105 women (mean age: 55.2 ± 4.9 years) consulting for climacteric symptoms underwent anthropometric and hormonal assessment. Usual dietary intake was assessed with a food frequency questionnaire and habitual physical activity was assessed with a digital pedometer. Participants were classified as physically inactive (<6000 steps daily) or physically active (≥6000 steps daily).

Results: Compared to the inactive group, active women had higher protein, total fat, cholesterol, iron, calcium, and the antioxidant micronutrients zinc and selenium intake as well as differences on food groups: higher meat, egg, and whole-dairy intake and lower intake of chips. Active participants also presented lower diastolic blood pressure (p = 0.012), ultrasensitive C-reactive protein (us-CRP; p = 0.011), fasting glucose (p = 0.003), fasting insulin (p = 0.019), and homeostasis model assessment index (p = 0.017). After adjustment for age and time since menopause, the risk for metabolic syndrome increased with physical inactivity (odds ratio [OR] = 3.55, 95% confidence interval [CI], 1.08–11.66), us-CRP (OR = 6.57, 95% CI, 2.20–19.56), and percentage body fat (OR = 5.65, 95% CI, 1.19–28.89).

Conclusion: Both physical activity and dietary choices may have contributed toward a more favorable cardiovascular profile and lower risk of metabolic syndrome in postmenopausal women.     

Calcium and Weight: Clinical Studies

Data from six observational studies and three controlled trials in which calcium intake was the independent variable (and either bone mass or blood pressure the original outcome variable) have been reanalyzed to evaluate the effect of calcium intake on body weight and body fat. Analysis reveals a consistent effect of higher calcium intakes, expressed as lower body fat and/or body weight, and reduced weight gain at midlife. Similarly, studies relating nutrient intake to body composition report negative associations between calcium intake and body weight at midlife and between calcium and body fat accumulation during childhood. There is a fairly consistent effect size, with each 300 mg increment in regular calcium intake associated with ～1 kg less body fat in children and 2.5–3.0 kg lower body weight in adults. Taken together these data suggest that increasing calcium intake by the equivalent of two dairy servings per day could reduce the risk of overweight substantially, perhaps by as much as 70 percent.     

Diet,weight, cytokines and bone health in postmenopausal women

Objectives

To investigate diet and nutrition-related factors associated with bone loss in a group of postmenopausal (PM) women. Nutritional intake, inflammatory markers and body composition (weight, body mass index, fat/lean mass) were analysed for associations with bone mineral density (BMD).

Design

A cross sectional study examining correlations between BMD (Duel-energy X ray absorptiometry; (DXA) and dietary intake (3-day diaries), body composition and plasma bone and inflammatory markers: C-terminal telopeptide of type I collagen (CTX) and procollagen type I N propeptide (P1NP), C- reactive protein (CRP), interleukin 6 and 10 (IL-6, IL-10), tumour necrosis factor (TNF) and osteoprotegerin (OPG).

Setting

Community dwelling women from the Auckland, Hawke’s Bay and Manawatu regions in New Zealand.

Participants

142 healthy, PM women aged 50–70 years.

Results

OPG (per kilogram fat mass) was increased in women with osteoporosis (p<0.001) compared to groups classified with normal BMD and osteopenia. Protein, vitamin B12, zinc, potassium and dairy intake were all positively correlated with higher BMD while dairy and potassium intakes also inversely correlated with CTX. Body composition (weight, BMI and fat/lean mass) had strong positive associations with BMD. Multiple regression analysis showed body weight, potassium and dairy intake were predictors of increased BMD in PM women and explained 39% (r²=0.39, p< 0.003) of variance.

Conclusion

BMD was negatively correlated with OPG and positively with weight, dairy and potassium intake. This study highlights the importance of maintaining adequate body weight and emphasising dairy and potassium predominantly sourced from fruit/vegetables to reduce bone loss at midlife.     

Older Adults Need Guidance to Meet Nutritional Recommendations

Objective: The purpose of this study was to compare the diet of healthy, free-living senior volunteers to the dietary reference intakes (DRIs) and Food Guide Pyramid recommendations.

Methods: This study was a cross-sectional assessment of dietary habits, as measured using a standardized food frequency questionnaire, among 1740 healthy Southwestern U.S. adults, aged 51 to 85 years. Assessment of independently-living volunteers to chemoprevention trials provides an efficient mechanism to profile typical dietary habits among the older adult population.

Results: Daily estimated macronutrient intakes exceeded recommended proportions of protein and fat. In contrast, more than 60% of this senior population reported dietary vitamin D, vitamin E, folate and calcium intakes below estimated average requirements (EAR). Based on the Food Guide Pyramid recommendations, fewer than 10% of the older adults consumed the recommended daily dairy and grain servings. More females than males consumed recommended vegetable (49% versus 40%) and fruit (53% versus 48%) servings (p < 0.05). More males consumed recommended grain (11% versus 7%) and protein (78% versus 73%) servings (p < 0.05) than females.

Conclusions: Mean micronutrient intakes compared well with DRIs, although fewer than one-half of these older adults consumed recommended levels for vitamin D, vitamin E, folate, and calcium or daily food servings of dairy, grains, vegetables or fruits. Since the beneficial aspects of foods are not limited to essential nutrients, nutrition recommendations to older adults may be improved by emphasizing daily servings of nutrient-dense choices within the Food Pyramid.     

Body composition differences between adults with multiple sclerosis and BMI-matched controls without MS

BackgroundPersons with multiple sclerosis (MS) have many health conditions related to overweight and obesity, but little is known about how body composition among those with MS compares to those without MS at the same weight.ObjectiveTo compare differences in whole body and regional body composition between persons with and without MS matched for sex and body mass index (BMI).MethodsPersons with MS (n = 51) and non-MS controls (n = 51) matched for sex and BMI. Total mass, lean mass, fat mass, and percent body fat (%BF) of total body and arm, leg, and trunk segments were assessed using dual-energy X-ray absorptiometry (DXA).ResultsMen with MS had significantly less whole body lean mass (mean difference: 9933.5 ± 3123.1 g, p < 0.01) and higher fat mass (mean difference: 6079.0 ± 2137.4 g, p = .01) and %BF (mean difference: 9.43 ± 2.04%, p < 0.01) than BMI-matched non-MS counterparts. Further, men with MS had significantly lower lean mass in the arm (p = 0.02) and leg (p < 0.01) and higher fat mass in the arm (p = 0.01), leg (p = 0.03) and trunk (p = 0.03) than men without MS. Men with MS had significantly higher %BF in all three regions (p < 0.01) than men without MS. There were no differences between women with and without MS.ConclusionsWe observed significant differences in whole body and regional body composition between BMI-matched men with and without MS. Additional research is needed to further explore differences in body composition, adipose distribution, and the impact of these differences on the health and function of men with MS.     

Low-Fat Dairy Intake and Body Weight and Composition Changes in College Students

Dairy calcium may help prevent excess weight gain and obesity when consumed in adequate amounts (three or more servings per day) and combined with energy balance. This prospective cohort study was conducted to evaluate dairy intake and examine the association between low-fat dairy intake and body weight and composition changes in college students. Seventy-six college students (65 women and 11 men; mean age±standard error [SE]=19.2±0.2 years) completed 7-day food records, body height (cm), weight (kg), and waist circumference (cm) measurements twice (September 2004 and April 2005). Percentage of truncal fat and percentage of total body fat were measured by dual-energy x-ray absorptiometry. One-way multivariate analysis of covariance was conducted. Overall (mean±SE) total dairy (1.4±0.1 servings/day), low-fat dairy (0.5±0.1 servings/day), and calcium (815±41 mg/day) intakes were low. Subjects who consumed a higher amount of low-fat dairy products (mean±SE=0.8±0.1 servings/day) had better diet quality, gained less body weight, and had reductions in waist circumference, percentage truncal fat, and percentage total body fat compared to those with lower intake (mean±SE=0.1±0.0 servings/day). Low-fat dairy intake may be associated with better diet quality and weight management in college students. Nutrition interventions in young adults should promote low-fat dairy intake as part of an overall healthful lifestyle.     

Dietary Protein,Phosphorus and Potassium Are Beneficial to Bone Mineral Density in Adult Men Consuming Adequate Dietary Calcium

Objective: The purpose of this study was to determine relationships of calcium (Ca), protein (Pr), phosphorus (P) and potassium (K) to measures of bone mineral density in adult men.

Methods: Cross-sectional analysis of 57 men ages 39 to 42 years who were participants in an ongoing study. Dietary assessment was conducted using the Block food frequency questionnaire (FFQ). BMD of total body (TB), hip and lumbar spine (LS) were measured with dual X-ray absorptiometry (DXA).

Results: Ca, Pr, P and K, as well as lean body mass (LBM), showed significant correlation with BMD at the total body, hip and lumbar spine. Stepwise forward regression selection method identified LBM, height and fat mass as significant predictors of TB-BMD, LBM and height as significant predictors of hip BMD, and LBM as a significant predictor of LS-BMD. As the nutrients tested correlated significantly with each other, only one nutrient was entered into the regression model at a time to accommodate the potential for multicollinearity. In regression analysis, adjusted for site-specific anthropometric variables and energy intake, K, Pr and P intake accounted for significant (p < 0.05) prediction of TB-BMD and LS-BMD values by 7% to 13%. No bone-related nutrient added significantly to the prediction of hip BMD. Ca intake was not significantly associated with BMD at any site in the adjusted models.

Conclusions: Our analysis provides support that a moderate protein (1.2 g/kg) diet, plentiful in potassium (>100 mmol/day) and phosphorus (1741 ± 535 mg) is beneficial for maintaining bone mineral density in adult men when Ca intake was adequate (1200 ± 515 mg).     

Calcium and weight: clinical studies

Data from six observational studies and three controlled trials in which calcium intake was the independent variable (and either bone mass or blood pressure the original outcome variable) have been reanalyzed to evaluate the effect of calcium intake on body weight and body fat. Analysis reveals a consistent effect of higher calcium intakes, expressed as lower body fat and/or body weight, and reduced weight gain at midlife. Similarly, studies relating nutrient intake to body composition report negative associations between calcium intake and body weight at midlife and between calcium and body fat accumulation during childhood. There is a fairly consistent effect size, with each 300 mg increment in regular calcium intake associated with approximately 1 kg less body fat in children and 2.5-3.0 kg lower body weight in adults. Taken together these data suggest that increasing calcium intake by the equivalent of two dairy servings per day could reduce the risk of overweight substantially, perhaps by as much as 70 percent.     

Effects of Hydrolyzed Whey versus Other Whey Protein Supplements on the Physiological Response to 8 Weeks of Resistance Exercise in College-Aged Males

Objective: The objective of this study was to compare the chronic effects of different whey protein forms on body composition and performance when supplemented with resistance training.

Methods: Resistance-trained men (N = 56, 21.4 ± 0.4 years, 79.5 ± 1.0 kg) participated in an 8-week resistance training regimen (2 upper-body sessions and 2 lower-body sessions per week) and received one of 4 double-blinded treatments: 30 g/serving carbohydrate placebo (PLA) or 30 g/serving protein from either (a) 80% whey protein concentrate (WPC), (b) high-lactoferrin-containing WPC (WPC-L), or (c) extensively hydrolyzed WPC (WPH). All subjects consumed 2 servings of treatment per day; specifically, once immediately before and after training and between meals on nontraining days. Blood collection, one repetition maximum (1RM) testing for bench press and hack squat, and body composition assessment using dual-energy x-ray absorptiometry (DXA) occurred prior to training and 48 hours following the last training session.

Results: Total body skeletal muscle mass increased in all groups (p < 0.0125). There were similar between-group increases in upper-body (4%–7%, analysis of covariance [ANCOVA] interaction p = 0.73) and lower-body (24%–35%, ANCOVA interaction p = 0.85) 1RM strength following the intervention. Remarkably, WPH reduced fat mass (?6%), which was significantly different from PLA (+4.4%, p < 0.0125). No time or between-group differences were present for serum markers of health, metabolism, or muscle damage, with the exception of blood urea nitrogen being significantly lower for WPH than WPC (p < 0.05) following the intervention.

Conclusions: WPH may augment fat loss but did not provide any other advantages when used in combination with resistance training. More mechanistic research is needed to examine how WPH affects adipose tissue physiology.     

Nutritional dwarfing: growth,dieting, and fear of obesity.

Objective: Current methods for measuring regional body fat are expensive and inconvenient compared to the relative cost-effectiveness and ease of use of a stereovision body imaging (SBI) system. The primary goal of this research is to develop prediction models for android and gynoid fat by body measurements assessed via SBI and dual-energy x-ray absorptiometry (DXA). Subsequently, mathematical equations for prediction of total and regional (trunk, leg) body adiposity were established via parameters measured by SBI and DXA.

Methods: A total of 121 participants were randomly assigned into primary and cross-validation groups. Body measurements were obtained via traditional anthropometrics, SBI, and DXA. Multiple regression analysis was conducted to develop mathematical equations by demographics and SBI assessed body measurements as independent variables and body adiposity (fat mass and percentage fat) as dependent variables. The validity of the prediction models was evaluated by a split sample method and Bland-Altman analysis.

Results: The R² of the prediction equations for fat mass and percentage body fat were 93.2% and 76.4% for android and 91.4% and 66.5% for gynoid, respectively. The limits of agreement for the fat mass and percentage fat were ?0.06 ± 0.87 kg and ?0.11% ± 1.97% for android and ?0.04 ± 1.58 kg and ?0.19% ± 4.27% for gynoid. Prediction values for fat mass and percentage fat were 94.6% and 88.9% for total body, 93.9% and 71.0% for trunk, and 92.4% and 64.1% for leg, respectively.

Conclusions: The three-dimensional (3D) SBI produces reliable parameters that can predict android and gynoid as well as total and regional (trunk, leg) fat mass.     

Association of Dairy Intake with Body Composition and Physical Function in Older Community-Dwelling Women

Impaired muscle function has been demonstrated to be an important predictor of frailty and fracture in elderly people. The aim of this cross-sectional study was to evaluate the association of dairy intake with body composition and physical performance in 1,456 older women aged 70 to 85 years. Participants were assessed for dairy consumption (milk, yogurt, and cheese) by a validated food frequency questionnaire, body composition by dual-energy x-ray absorptiometry, and physical performance using hand-grip strength and Timed Up and Go tests. Data on falls in the previous 3 months were collected. Women were categorized according to tertiles of dairy intake: first tertile (≤1.5 servings/day), second tertile (1.5 to 2.2 servings/day), and third tertile (≥2.2 servings/day). Main outcomes were compared using analysis of covariance adjusting for confounding factors. Odds ratios for self-reported falls and risk of poor Timed Up and Go were obtained by using binary logistic regression. The mean age was 75.2±2.7 years and body mass index was 27.2±4.7. Compared with those in the first tertile of dairy intake, women in the third tertile had significantly greater whole body lean mass (34.4±0.3 vs 32.9±0.3 kg; P=0.001) and appendicular skeletal muscle mass (15.3±0.2 vs 14.5±0.2 kg; P=0.002), greater hand-grip strength (20.9±0.2 vs 20.0±0.2 kg; P=0.02), and 26% lower odds for a poor Timed Up and Go test (P=0.04); however, the difference in prevalence of falls in the previous 3 months was not statistically significant (10.3% vs 14.4%; P=0.08). Our results suggest an association of higher dairy intake with greater whole body lean mass and better physical performance in older women.     

Vegetable Consumption Is Linked to Decreased Visceral and Liver Fat and Improved Insulin Resistance in Overweight Latino Youth

There are limited data on the influence of vegetable consumption on adiposity and metabolic health, specifically nonstarchy vegetables and vegetables that are dark green and deep orange/yellow (also known as nutrient-rich vegetables). Our study examines the relationship between vegetable intake and adiposity, liver fat, and insulin dynamics in overweight Latino youth. This cross-sectional study of 175 overweight (body mass index ≥85th percentile) Latino youth (aged 8 to 18 years), with data collected during 2006-2011, included the following: dietary intake via multiple 24-hour recalls, total body fat via dual-energy x-ray absorptiometry, adipose tissue distribution and liver fat via magnetic resonance imaging, and insulin dynamics via frequently sampled intravenous glucose tolerance test. Linear regression and analysis of covariance were used for analysis, with the following a priori covariates: age, sex, energy intake, and total body fat. Participants who consumed the most nonstarchy vegetables (mean intake=1.7±1.0 servings/day) compared with the least (mean intake=0.1±0.1 servings/day) had 44% less liver fat (10.0%±8.5% vs 5.6%±8.7%; P=0.01). Nutrient-rich vegetable intake was positively correlated with insulin sensitivity (r=0.19; P=0.03). Consumers of nutrient-rich vegetables (mean intake=0.3±0.4 servings/day [n=107]), compared with nonconsumers (n=68), had 31% increased insulin sensitivity (1.6±1.6 vs 2.1±1.3×10^–4/min/μU/mL; P=0.03) and 17% less visceral adipose tissue (2.3±0.9 vs 1.9±0.7 L; P=0.01). Consumption of specific vegetable types by overweight Latino youth is associated with positive metabolic outcomes, including reduced visceral and liver fat and risk factors for type 2 diabetes, even when consumed in small quantities. These may be relevant targets for interventions.     

Relationship between the body adiposity index and cardiometabolic risk factors in obese postmenopausal women

Objective

The purpose of the present secondary analysis study was to investigate the ability of the body adiposity index (BAI) to detect changes in % body fat levels before and after a weight loss intervention when compared to % body fat levels measured using dual-energy X-ray absorptiometry (DXA) and to examine the relationship between the BAI with cardiometabolic risk factors.

Methods

The study population for this secondary analysis included 132 non-diabetic obese sedentary postmenopausal women (age: 57.2 ± 4.7 years, BMI: 35.0 ± 3.7 kg/m²) participating in a weight loss intervention that consisted of a calorie-restricted diet with or without resistance training. We measured: (1) visceral fat using CT-scan, (2) body composition using DXA, (3) hip circumference and height from which the BAI was calculated, and (4) cardiometabolic risk factors such as insulin sensitivity (using the hyperinsulinemic-euglycemic clamp), blood pressure as well as fasting plasma lipids, hsC-reactive protein (CRP), leptin, and glucose.

Results

Percent body fat levels for both methods significantly decreased after the weight loss intervention. In addition, the percent change in % body fat levels after the weight loss intervention was significantly different between % body fat measured using the DXA and the BAI (?4.5 ± 6.6 vs. ?5.8 ± 5.9%; p = 0.03, respectively). However, we observed a good overall agreement between the two methods, as shown by the Bland–Altman analysis, for percent change in % body fat. Furthermore, similar correlations were observed between both measures of % body fat with cardiometabolic risk factors. However, results from the multiple linear regression analysis showed that % body fat using the BAI appeared to predict cardiometabolic risk factors differently than % body fat using the DXA in our cohort.

Conclusions

Estimating % body fat using the BAI seems to accurately trace variations of % body fat after weight loss. However, this index showed differences in predicting cardiometabolic risk factors when compared to % body fat measured using DXA.     

The 7-day Beverage Intake Questionnaire for Latino Children: Validation of a Culturally Tailored Tool

ObjectiveTo validate a culturally tailored 7-day beverage intake questionnaire for Latino children (BIQ-L).DesignCross-sectional.SettingFederally qualified health center in San Francisco, CA.ParticipantsLatino parents and their children aged 1–5 years (n = 105).Variables MeasuredParents completed the BIQ-L for each child and three 24-hour dietary recalls. Participants’ height and weight were measured.AnalysisCorrelations between the mean intake of beverages in 4 categories as determined by the BIQ-L and three 24-hour dietary recalls were assessed. Multivariable linear regression examined the association between sugar-sweetened beverages (SSB) servings as determined by the BIQ-L and child body mass index z-score.ResultsMean daily intake of SSB (r = 0.52, P < 0.001), 100% fruit juice (r = 0.45, P < 0.001), flavored milk (r = 0.7, P < 0.001), and unflavored milk (r = 0.7, P < 0.001) from the BIQ-L were correlated with intake assessed via three 24-hour dietary recalls. In the multivariable model, weekly servings of SSBs were associated with child body mass index z-score (β = 0.15, P = 0.02). Culturally specific beverages comprised 38% of the SSB intake reported on the BIQ-L.Conclusions and ImplicationsThe BIQ-L is a valid tool for assessing beverage intake among Latino children aged 1–5 years. The inclusion of culturally specific beverages is critical for accurately assessing beverage intake among Latino children.