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At least 109 records · Page 6Linked to original sources

Body-image disturbances in bulimia nervosa: influences of actual body size.

This study evaluated body-image distortion and ideal body-size preferences in 423 nonbulimic women and 108 bulimics. Analyses of covariance were utilized to compare the bulimic and nonbulimic groups on measures of current and ideal body size. Weight was used as a covariate to evaluate the influence of actual body size on perception of current body size and selection of ideal body size. Bulimics chose current body sizes that were significantly larger than those picked by nonbulimics regardless of actual body size. Bulimics also chose thinner ideal body sizes than did nonbulimics, regardless of actual body size. These results suggest that body-image distortion and extreme preference for thinness are a fundamental characteristic of bulimia nervosa. These results were discussed in terms of how perception of a large body size and preference for a very thin body size might interact to produce a high degree of dissatisfaction and overconcern with body size in bulimia nervosa.

Adult↗

Body size estimation in bulimia.

Body size estimation was studied in 22 patients with bulimia and 20 normal controls. Two methods of body size estimation were used, a distorting television image method (DTIM) and the image marking method (IMM). The subjects estimated body size of a dummy as well as their own body on the DTIM. When estimating body size on the DTIM the bulimics overestimated and the controls underestimated, there being a significant difference between the two groups. There was no difference between the groups when estimating the size of the dummy. On the IMM a significant difference was found between the bulimic and control groups, the bulimics overestimating body size and the controls being more accurate. Marked directional effects were found with the DTIM. The two methods of body size estimation are compared.

Adult↗

Comparison of three psychophysical techniques for estimating body-size perception.

Perception of body size was recorded for 63 university students (M age = 25.3 yr., 41 women) who estimated their own body size using three methods. Using the method of adjustment, subjects over- or underestimated their body size. A signal-detection analysis indicated that subjects were sensitive to detecting a 4% distortion in body size and that there was no systematic bias for reporting distortion as present or absent. Scores on the adaptive probit estimation task were significantly correlated with values for point of subjective equality and the size judgements with the method of adjustment. Over-all, this experiment demonstrated adaptive probit estimation as a reliable indicator of perceived body size, sensitivity in detecting size distortion, and response bias in making body-size judgements.

Adolescent↗

A quantitative analysis of the mechanism that controls body size in Manduca sexta.

BACKGROUND: Body size is controlled by mechanisms that terminate growth when the individual reaches a species-specific size. In insects, it is a pulse of ecdysone at the end of larval life that causes the larva to stop feeding and growing and initiate metamorphosis. Body size is a quantitative trait, so it is important that the problem of control of body size be analyzed quantitatively. The processes that control the timing of ecdysone secretion in larvae of the moth Manduca sexta are sufficiently well understood that they can be described in a rigorous manner. RESULTS: We develop a quantitative description of the empirical data on body size determination that accurately predicts body size for diverse genetic strains. We show that body size is fully determined by three fundamental parameters: the growth rate, the critical weight (which signals the initiation of juvenile hormone breakdown), and the interval between the critical weight and the secretion of ecdysone. All three parameters are easily measured and differ between genetic strains and environmental conditions. The mathematical description we develop can be used to explain how variables such as growth rate, nutrition, and temperature affect body size. CONCLUSION: Our analysis shows that there is no single locus of control of body size, but that body size is a system property that depends on interactions among the underlying determinants of the three fundamental parameters. A deeper mechanistic understanding of body size will be obtained by research aimed at uncovering the molecular mechanisms that give these three parameters their particular quantitative values.

Animals↗

The effects of the Pro12Ala polymorphism of the PPARgamma-2 gene on lipid metabolism interact with body size at birth.

Body size at birth is an indicator of the intrauterine environment. The effects of the Pro12Pro genotype and the 12Ala allele of the PPARgamma-2 gene on glucose and insulin metabolism in adult life depend on body size at birth. A low birth weight is associated with insulin resistance and type 2 diabetes. The peroxisome proliferator-activated receptor-gamma (PPARgammas) are also regulators of adipocyte differentiation, and the PPARgamma-2 gene could also contribute to the development of dyslipidemia. Therefore, the effects of the Pro12Ala polymorphisms of the PPARgamma-2 gene on lipid metabolism were measured in 476 elderly persons whose birth weight was known. The Ala12 allele was associated with increased serum total, low-density lipoprotein (LDL), and non-high-density lipoprotein (non-HDL) cholesterol concentrations but only among those who had birth weights below 3000 g. These interactions between the effects of the PPARgamma-2 gene on adult traits and the effects of birth weight may be interpreted as examples of gene-environmental interactions, which underlie plasticity during development.

Aged↗

Body size in ecological networks.

Body size determines a host of species traits that can affect the structure and dynamics of food webs, and other ecological networks, across multiple scales of organization. Measuring body size provides a relatively simple means of encapsulating and condensing a large amount of the biological information embedded within an ecological network. Recently, important advances have been made by incorporating body size into theoretical models that explore food web stability, the patterning of energy fluxes, and responses to perturbations. Because metabolic constraints underpin body-size scaling relationships, metabolic theory offers a potentially useful new framework within which to develop novel models to describe the structure and functioning of ecological networks and to assess the probable consequences of biodiversity change.

Journal Article↗

Genetics of human body size and shape: body proportions and indices.

BACKGROUND: The study of the genetic component in morphological variables such as body height and weight, head and chest circumference, etc. has a rather long history. However, only a few studies investigated body proportions and configuration. AIM: The major aim of the present study was to evaluate the extent of the possible genetic effects on the inter-individual variation of a number of body configuration indices amenable to clear functional interpretation. SUBJECTS AND METHODS: Two ethnically different pedigree samples were used in the study: (1) Turkmenians (805 individuals) from Central Asia, and (2) Chuvasha (732 individuals) from the Volga riverside, Russian Federation. To achieve the aim of the present study we proposed three new indices, which were subjected to a statistical-genetic analysis using modified version of "FISHER" software. The proposed indices were: (1) an integral index of torso volume (IND#1), an index reflecting a predisposition of body proportions to maintain a balance in a vertical position (IND#2), and an index of skeletal extremities volume (IND#3). Additionally, the first two principal factors (PF1 and PF2) obtained on 19 measurements of body length and breadth were subjected to genetic analysis. Variance decomposition analysis that simultaneously assess the contribution of gender, age, additive genetic effects and effects of environment shared by the nuclear family members, was applied to fit variation of the above three indices, and PF1 and PF2. RESULTS: The raw familial correlation of all study traits and in both samples showed: (1) all marital correlations did not differ significantly from zero; (2) parent-offspring and sibling correlations were all positive and statistically significant. The parameter estimates obtained in variance analyses showed that from 40% to 75% of inter-individual variation of the studied traits (adjusted for age and sex) were attributable to genetic effects. For PF1 and PF2 in both samples, and for IND#2 (in Chuvasha pedigrees), significant common sib environmental effects were also detectable. CONCLUSION: Genetic factors substantially influence inter-individual differences in body shape and configuration in two studied samples. However, further studies are needed to clarify the extent of pleiotropy and epigenetic effects on various facets of the human physique.

Adolescent↗

Estimation of body weight from body size measurements and body condition scores in dairy cows.

The objective of this study was to evaluate the use of hip height and width, body condition score, and relevant demographic information to predict body weight (BW) of dairy cows. Seven regression models were developed from data from 972 observations of 554 cows. Parity, hip height, hip width, and body condition score were consistently associated with BW. The coefficients of multiple determination varied from 80 to 89%. The number of significant terms and the parameter estimates of the models differed markedly among groups of cows. Apparently, these differences were due to breed and feeding regimen. Results from this study indicate that a reliable model for estimating BW of very different dairy cows maintained in a wide range of environments can be developed using body condition score, demographic information, and measurements of hip height and hip width. However, for management purposes, substantial improvements can be obtained by developing models that are specific to a given site.

Animals↗

Sleeping metabolic rate and body size in 12-week-old infants.

OBJECTIVE: Sleeping metabolic rate (SMR) is influenced by body size and body composition. In order to be able to compare SMR between individuals and groups, the best way to remove the effect of body size and body composition was sought. DESIGN: A cohort of 50 infants was studied at 12 weeks. SMR was measured by indirect calorimetry, and body size and body composition by anthropometry and a stable isotope technique. Regression analysis was used to calculate the best way to remove the effect of body size and body composition on SMR. RESULTS: Regression analysis showed that SMR was adjusted for body weight and fat-free mass by raising body weight to the power 0.41, and by raising fat-free mass to the power 0.44. When SMR was at its minimum level, the optimum powers were 0.41 for body weight and 0.45 for fat-free mass. CONCLUSIONS: SMR can be adjusted for body weight, or fat-free mass thereby taking both body size and body composition into account, by expressing SMR in terms of weight or fat free mass raised to powers close to 0.50.

Body Composition↗

Males have larger skeletal size and bone mass than females, despite comparable body size.

UNLABELLED: Gender differences in fractures may be related to body size, bone size, geometry, or density. We studied this in 18-year-old males (n = 36) and females (n = 36) matched for height and weight. Despite comparable body size, males have greater BMC and BMD at the hip and distal tibia and greater tibial cortical thickness. This may confer greater skeletal integrity in males. INTRODUCTION: Gender differences in fractures may be related to body size, bone size, geometry, or density. We studied this in males (n = 36) and females (n = 36; mean age = 18 years) pair-matched for height and weight. MATERIALS AND METHODS: BMC, bone area (BA), and BMD were measured in the spine and hip using DXA. Distal tibia was measured by pQCT. RESULTS AND CONCLUSIONS: Males had a higher lean mass (92%) compared with females (79%). No gender differences were observed for vertebral BMC or vertebral height, although males had greater width and thus BA at the spine. Males had greater BMC and BA at the femoral neck and total femur (p < 0.02). Geometric variables of the hip including neck diameter and neck-axis length were also greater in males (p < 0.02). There was greater cross-sectional moment of inertia, safety factor, and fall index in males (all p < 0.02). Males had greater tibial BMC, volumetric BMD, and cortical area and thickness compared with females (p < 0.01), with both greater periosteal circumference (p = 0.011) and smaller endosteal circumference (p = 0.058). Statistically controlling for lean mass reduced gender differences, but males still had 8% higher hip BMD (p = 0.24) and 5.3% higher total tibial BMD (p = 0.05). A subset of males and females were matched (n = 14 pairs) for total hip BA. Males in this subset still had greater BMC and BMD at the total hip (p < 0.05) than females, despite similar BA. In summary, despite comparable body size, males have greater BMC and BMD than females at the hip and distal tibia but not at the spine. Differences in BMC and BMD were related to greater cortical thickness in the tibia. We conclude that differences in bone mass and geometry confer greater skeletal integrity in males, which may contribute to the lower incidence of stress and osteoporotic fractures in males.

Adolescent↗

Comparison of different body size parameters for individual dose adaptation in body CT of adults.

PURPOSE: To investigate prospectively which of several body size parameters are suitable for individual dose adaptation in body computed tomography (CT) of adults. MATERIALS AND METHODS: Three body regions (thorax, abdomen, pelvis) were scanned exclusively for clinical reasons, with institutional ethical approval and informed consent. For each of the three regions, 50 men and 50 women (aged 18-87 years) were studied (300 scans total). Individual x-ray properties for each scan were summarized with a water-equivalent diameter (Dw). Different body size parameters, based on weight, height, and shape, were correlated with Dw by using regression analysis. This resulted in Dw estimation errors of different magnitudes, indicated with 95% prediction intervals. The errors from weight were compared with those from each of the other body parameters by using comparison of variance in paired samples (P < .05). In addition, a topogram-based estimate for Dw was studied, which simulated an automated body size measurement. RESULTS: For the thorax, abdomen, and pelvis, mean Dw was 28.0, 29.1, and 29.3 cm, and estimation of Dw from weight enabled 95% prediction intervals of +/-2.5, +/-2.4, and +/-2.6 cm, respectively. Combinations of height and weight were only slightly more or even less exact than were measurements from only weight. Diameter-related parameters such as body circumference were similar to or better than weight. However, the topogram-based estimate was significantly more exact. CONCLUSION: Body weight and circumference enable suitable estimates for individual dose adaptation in body CT of adults if automated dose adaptation is not available.

Adolescent↗

A comparison of the genetic basis of wing size divergence in three parallel body size clines of Drosophila melanogaster.

Body size clines in Drosophila melanogaster have been documented in both Australia and South America, and may exist in Southern Africa. We crossed flies from the northern and southern ends of each of these clines to produce F(1), F(2), and first backcross generations. Our analysis of generation means for wing area and wing length produced estimates of the additive, dominance, epistatic, and maternal effects underlying divergence within each cline. For both females and males of all three clines, the generation means were adequately described by these parameters, indicating that linkage and higher order interactions did not contribute significantly to wing size divergence. Marked differences were apparent between the clines in the occurrence and magnitude of the significant genetic parameters. No cline was adequately described by a simple additive-dominance model, and significant epistatic and maternal effects occurred in most, but not all, of the clines. Generation variances were also analyzed. Only one cline was described sufficiently by a simple additive variance model, indicating significant epistatic, maternal, or linkage effects in the remaining two clines. The diversity in genetic architecture of the clines suggests that natural selection has produced similar phenotypic divergence by different combinations of gene action and interaction.

Animals↗

Maturity-associated variation in the body size and proportions of elite female gymnasts 14-17 years of age.

The aim of this study was to evaluate variations in the size and body proportions of elite female gymnasts associated with individual differences in maturity status. The subjects were 150 gymnasts, 14.0-17.9 years of age, who had participated in the 24th World Championship in Artistic Gymnastics, Rotterdam. Height, body mass, sitting height and biacromial and bicristal breadths were measured. Leg length was estimated as the height minus sitting height, and the ratio of sitting height to height was calculated. Information on menarcheal status was obtained by means of a questionnaire, and hand-wrist radiographs were taken to assess skeletal maturity status. For the purpose of data analysis the gymnasts were divided into three maturity groups within each single-year chronological age (CA) group from 14 to 17 years: pre-menarcheal (n=65); post-menarcheal but not skeletally mature (SA<16.0 years, n=37); post-menarcheal, skeletally mature (n=48). Differences among the groups were tested with analysis of variance and post hoc Tukey tests. The results showed that pre-menarcheal gymnasts are smaller in all dimensions compared to post-menarcheal gymnasts in all age groups but that the significance of differences varies. Post-menarcheal, skeletally mature gymnasts are heavier than pre-menarcheal gymnasts, but weight does not differ between gymnasts in the two post-menarcheal groups (with one exception, 16 years). Post-menarcheal, skeletally mature gymnasts have proportionally shorter legs than gymnasts in the other two maturity categories. Elite gymnasts of contrasting maturity status show similar trends in body size and proportions similar to those of non-athlete adolescent girls of contrasting maturity status. The results highlight the need to consider maturity-associated variation in the body dimensions of gymnasts before attributing their characteristics to the demands of regular training.

Adolescent↗

Association of body size estimation and age in African-American females.

This cross-sectional research study tested the hypothesis that body image estimates of African-American females differ as a function of age. To test this hypothesis, body image estimates of 379 African-American females, ranging in age from 16 to 96 years, were contrasted as a function of age group, while statistically controlling body mass index. Three body size estimates, current body size, ideal body size, and reasonable body size were measured using the Body Image Assessment for Obesity. The discrepancies between current and ideal body size estimates and between current and reasonable body size estimates were also analyzed to assess for differences in body size dissatisfaction. The study found that younger African-American women (16 to 35 years) differed from older African-American women (>35 years) on measures of body size dissatisfaction. Women in the age range of 26 to 35 years reported higher estimates of current body size in comparison to women older than 35 years. The youngest age group (16 to 25 years) reported thinner ideal body size goals in comparison to women who were slightly older (26 to 35 years) and women who were older than 75 years. The pattern of body image estimates across a large age range suggests that younger African-American women, in comparison to older African-American women, may have body images that may make them more susceptible to eating disorders.

Adolescent↗

Mastication and rumination in relation to body size of cattle.

Effect of body size on number of minutes per kilogram cell wall constituents spent chewing during eating and ruminating was studied in a total of 59 mature animals including 18 Holstein cows, 12 Jersey cows, 6 Ayrshire cows, 11 Guernsey cows, and 12 steers. Larger animals were more efficient chewers, spending less time chewing per kilogram of ingested cell wall constituents. Body size accounted for 52% and differences of intake of cell wall constituents accounted for an additional 22% of variability of chewing time. Neither breed nor ambient temperature contributed significantly to explaining the variability. Size of fecal particles and amount of each size did not differ significantly for different body sizes. These results suggest that acceptability of particles to the reticulo-omasal orifice was not different for different body sizes. Correlation was nil between body size and speed of chewing.

Animals↗

Effects of body fat distribution on body size estimation accuracy among obese women.

UNLABELLED: Body fat distribution is a reliable predictor of the health risks of obesity. Abdominal obesity (AO) has been associated with various health complications whereas gluteal-femoral obesity (GFO) appears to be less hazardous. Body size overestimation, a type of body image disturbance, is found in a subset of obese persons. OBJECTIVE: The current study examined body size estimation accuracy as a function of body fat distribution. DESIGN: Cross-sectional, retrospective review of clinical records. SUBJECTS: 101 obese women (Mean age = 39.4) joining a weight loss program. MEASUREMENTS: Subjects provided body size estimates using a live video distortion procedure and were grouped into tertiles (AO; Mixed type obesity (MTO); GFO) on the basis of their waist-to-hip ratios. RESULTS: GFO women had significantly lower body size estimates and felt thinner than did AO or MTO women. In addition, more AO women (20.6% vs GFO: 8.8%) overestimated their body size by more than 15% whereas more GFO women (29.4% vs AO: 5.9%) underestimated their body size by more than 15%. CONCLUSION: Body fat distribution appears to be a mediator in body size estimation accuracy. These findings are discussed in terms of possible differences in perceptual and societal experiences among the groups.

Abdomen↗