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PubMedDate not supplied

The effects of different percentages of dietary fat intake, exercise, and calorie restriction on body composition and body weight in obese females.

PURPOSE: The goal of this study was to determine the effect of varying the amount of dietary fat, while holding calories at 1,200 kcals/day, on body weight and percent body fat in 35 obese women. DESIGN: A pretest, midtest, posttest experimental design was employed, and subjects were randomly divided into one of four dietary fat groups, with 10%, 20%, 30%, or 40% of caloric intake as dietary fat. INTERVENTION: Subjects consumed 1,200 kcals/day and a specified percentage of total energy as fat, depending on their dietary group. Protein was held constant at 20%. All subjects engaged in a five day/week walking program. SETTING: Participants were recruited from the general community using newspaper advertisements. SUBJECTS: Thirty-five obese women 25 to 45 years of age (means=38 +/- 4.97) served as subjects. All were at least 20% above ideal weight and 30% to 52% body fat. MEASURES: Percent body fat, body weight, and anthropomorphic measurements were taken at baseline, six and 12 weeks. Dietary intake was recorded daily by each subject, and exercise walking logs were maintained by each participant. RESULTS: All subjects lost body weight and body fat; however, there were no significant differences in the rate or amount of body weight or percent body fat lost across the four groups during the intervention. CONCLUSIONS: It appears that during calorie restriction and exercise for 12 weeks, percent of calories derived from dietary fats does not influence loss of body weight or percent body fat in adult obese women.

Adult↗
PubMed2003

A longitudinal comparison of body composition by total body water and bioelectrical impedance in adolescent girls.

Previous studies have assessed the ability of bioelectrical impedance analysis (BIA) to estimate body composition cross-sectionally, but less is known about the ability of BIA to detect changes in body composition longitudinally over the adolescent growth period. Body composition was assessed by isotopic dilution of H(2)(18)O and BIA in 196 initially nonobese girls enrolled in a longitudinal study. Two prediction equations for use in our population of girls were developed, one for use premenarcheally and one for use postmenarcheally. We compared estimates from our equation with those derived from several published equations. Using longitudinal data analysis techniques, we estimated changes in fat-free mass (FFM) and percentage body fat (%BF) over time from BIA, compared with changes in FFM and % BF estimated by H(2)(18)O. A total of 422 measurements from 196 girls were available for analysis. Of the participants, 26% had one measurement of body composition, 43% had two measurements of body composition and 31% had three or more measurements of body composition. By either H(2)(18)O or BIA, the mean %BF at study entry was 23% (n = 196) and the mean %BF at 4 y postmenarche was 27% (n = 133). In our cohort, the best predictive equations to estimate FFM by BIA were: PREMENARCHE: FFM = -5.508 + (0.420 x height(2)/resistance) + (0.209 x weight) + (0.08593 x height) + (0.515 x black race) - (0.02273 x other race). POSTMENARCHE: FFM = -11.937 + (0.389 x height(2)/resistance) + (0.285 x weight) + (0.124 x height) + (0.543 x black race) + (0.393 x other race). Overall, we found that BIA provided accurate estimates of the change in both FFM and %BF over time.

Adolescent↗
PubMed2003

Precedence of bone loss over changes in body composition and body fat distribution within a few years after menopause.

OBJECTIVE: The present study investigated the sequence of certain phenomena with a few years after menopause: bone mineral loss, decrease in lean body mass, increase in body fat mass, or the shift toward upper body fat distribution. METHODS: Subjects were 64 postmenopausal women aged 50-53 years with right side dominance (mean age+/-S.D., 51.4+/-1.1 years), and 59 age-matched regularly menstruating premenopausal women (51.7+/-1.2 years) serving as controls. Height, weight, body mass index (BMI, wt./ht.(2)), age at menopause (in postmenopausal women), and years since menopause (YSM) were recorded. Anthropometries, bone mineral density (BMD), and body fat distribution were assessed by dual-energy X-ray absorptiometry. RESULTS: Age at menopause and YSM in postmenopausal women were 51.7+/-1.2 and 2.3+/-1.7 years, respectively. Age, height, weight, BMI did not differ between the two groups. BMD of the bilateral arm, lumbar spine (L2-4), pelvis, and total body were significantly lower in postmenopausal women. However, leg BMD, trunk-leg fat ratio, body fat mass, and the lean body mass did not differ between the two groups. CONCLUSION: Within a few years after menopause, bone mineral loss precedes lean mass loss, increase in body fat mass, and a shift toward upper body fat distribution. We can say that bone tissue is more sensitive to hypogonadism than lean and fat tissues are.

Adipose Tissue↗
PubMed1997

[Relationship between the iron status of the pregnant woman and her body size and body composition before and during pregnancy].

For the analysis the relationship of the iron status of 86 pregnant women and size and composition body factors before and during pregnancy were made anthropometric, hematological and iron status indices. There were significant relations between pregestational body weight, height, body mass index and body weight, body composition in pregnancy and the values of iron status indicators in blood throughout gestation.

Adolescent↗
PubMed2005

Regional adiposity, body composition and central body fat distribution of 10-16 years old Bengalee boys of Nimta, North 24 Parganas, West Bengal, India.

A cross-sectional study of 502 Bengalee boys aged 10-16 years of Nimta, North 24 Parganas, West Bengal, India, was undertaken to study regional adiposity, body composition and central body fat distribution. The subjects were classified into seven age groups: 10-10.9 years (n = 74), 11-11.9 (n = 53), 12-12.9 (n = 87), 13-13.9 (n = 116), 14-14.9 (n = 58), 15-15.9 (n = 57), 16-16.9 (n = 57). In general, there was a significant linear increasing trend from 10 to 16 years for all the anthropometric variables. There was a net increase of 30.5 cm and 22.8 kg in mean height and weight, respectively, between 10 and 16 years of age. Mean BMI increased by 3.7 kg/m2 during the same period. Among circumferences, the largest increase was in hip followed by chest while the smallest increase was in mid upper arm, between 10 and 16 years of age. Subscapular skinfold showed the largest increase followed by abdomen and suprailiac skinfolds, while the increase was least in forearm skinfold. Significant linear increasing trend was observed for all the body composition measures. The largest increase in percent of body fat (PBF) was observed between ages 10 and 11 years while mean fat mass (FM), fat free mass (FFM) and fat mass index (FMI) increased the most between 14 to 15 years. However, an overall decreasing trend was observed, in mean waist-to-hip ratio (WHR) from 10 to 16 years. Boys aged 10 years had the highest mean WHR while those aged 15 years had the lowest mean WHR. There was an increase in mean WHR among 16 years old boys.

Adiposity↗
PubMed2005

Fetal programming of body composition: relation between birth weight and body composition measured with dual-energy X-ray absorptiometry and anthropometric methods in older Englishmen.

BACKGROUND: Reduced fetal growth is associated with differences in body composition in adult life that may predispose to cardiovascular disease and diabetes. Most published data are based on simple anthropometric measures, which incompletely describe body composition. OBJECTIVE: The objective was to assess body composition and fat distribution by using dual-energy X-ray absorptiometry (DXA). DESIGN: This was a case-control study of 64-72-y-old white men (n = 32) with a low (mean: 2.76 kg) or high (mean: 4.23 kg) birth weight. RESULTS: Compared with the high-birth-weight group, after adjustment for weight and height, the low-birth-weight group had a higher percentage body fat (29.31% compared with 25.33%; P = 0.029) and fat mass (P = 0.039) but a lower fat-free soft tissue (56.32 compared with 59.22 kg; P = 0.024), muscle mass (27.25 compared with 29.22 kg; P = 0.022), and muscle-to-fat ratio. Low birth weight was also associated with a higher trunk-to-limb fat ratio after control for total fat mass (1.42 compared with 1.16; P = 0.005) or percentage body fat (P = 0.041). The same body mass index predicted a greater percentage body fat (P = 0.019) in the low- than in the high-birth-weight group, and the same ratio of trunk-to-limb skinfold thickness (or waist-to-hip ratio) predicted a higher trunk-to-limb fat ratio (P < 0.01). CONCLUSION: Lifelong differences in adult body composition and fat distribution between the low- and high-birth-weight groups are consistent with programming in early life. The use of BMI to predict percentage body fat and the use of the trunk-to-limb skinfold thickness ratio (and waist-to-hip ratio) to predict the trunk-to-limb fat ratio measured by DXA can be misleading when low- and high-birth-weight groups are compared.

Absorptiometry, Photon↗