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PubMed1984

Nutritional status of the elderly. II. Anthropometry, dietary and biochemical data of old pensioners in Perugia at the fifth year follow-up.

206 aged pensioners of the city of Perugia have been examined in a longitudinal study, with emphasis on body composition, diet, life habits and clinical-biochemical data. From the anthropometric data of the individuals examined in 1981 it is evident that both in men and women obesity is common especially among the women. The opposite is true for the arm muscle area. Comparing the same men examined in 1976 and 1981 body fatness decreased in the five years interval. Food and nutrient intakes are rather similar in the 1976 and 1981 surveys. Consumption of milk, eggs, fish and legumes is not high. The men, but not the women, tended to a high consumption of meat and alcoholic beverages. The intake in 1981 of thiamin, riboflavin and vitamin A seems in general to be inadequate according to our recommended values. The biochemical data show practically no difference in the two surveys. Serum cholesterol continued to be rather high for an Italian population.

Aged↗
PubMed1994

Relationships between anthropometry and retrospective morbidity in poor men in Calcutta, India.

OBJECTIVE: The evaluation of body mass index (BMI) and other anthropometric measures as possible indicators of chronic energy deficiency, by examination of the relationships between these measures and retrospective morbidity in a group of very poor men in Calcutta, India. DESIGN: Anthropometric measurement and retrospective recording of treatment history over the previous year, from health records. SETTING: A primary care centre, the Middleton Row street clinic. SUBJECTS: All men attending the clinic for either provision of basic needs (food, clothing, plastic sheeting for building of shelter) or medical treatment during July and August, 1992. 190 men with 1-year retrospective treatment records were measured. INTERVENTIONS: None. RESULTS: Values for mean height, weight, arm circumference and triceps skinfold were lower than for any population of Indian males thus far reported. 44% of the men had BMI < 16, retrospective morbidity being two to three times higher in those below this cut-off than those above it. BMI < 16 was associated with greater retrospective morbidity due to respiratory tract infection and tuberculosis. For men aged 18-64 years, weight, height, arm circumference and age were significant discriminators of retrospective respiratory morbidity, while calf circumference, height, weight and age were significant discriminators of retrospective tuberculosis morbidity. Of the derived variables, BMI was a better discriminator of retrospective respiratory morbidity than arm fat area and percentage body fat, and the only discriminator of retrospective tuberculosis morbidity. For men aged > or = 65 years, weight and calf circumference were significant discriminators of respiratory infection, while age was the only discriminator of tuberculosis morbidity. Of the derived variables, BMI alone discriminated retrospective respiratory infection. CONCLUSION: BMI was the best overall discriminator of retrospective morbidity in this group of poor Calcutta men. Anthropometric criteria were better discriminators of retrospective morbidity in men between the ages of 18 and 64 years than in men aged 65 years and over.

Adolescent↗
PubMed1997

Fetal growth impairment from smoking--is it influenced by maternal anthropometry?

BACKGROUND: It has been suggested that the effect of maternal smoking on fetal growth is partly mediated through nutritional factors. OBJECTIVE: To assess the effects of maternal smoking on birthweight in term pregnancies among mothers with different anthropometric stature. DESIGN: A prospective study from early pregnancy of healthy parous women and their infants. SETTING: Three Scandinavian university hospitals covering all deliveries from well defined geographic areas. SUBJECTS: Smoking (774) and non-smoking (325) mothers, para 1 and 2 and with > 36 weeks gestational length. MAIN OUTCOME MEASURE: Birthweight. RESULTS: Maternal age, smoking, pre-pregnancy weight, height, body mass index and pregnancy weight gain all independently influenced birthweight. Smoking mothers had significantly lower pre-pregnancy weight and lower body mass index compared to nonsmoking mothers. The negative influence of smoking on birthweight appeared to be uniformly distributed throughout all the different maternal height and weight groups. CONCLUSIONS: Birthweight was negatively related to amount cigarettes smoked per day, and no protective effect could be demonstrated from higher maternal weight, pregnancy weight gain or body mass index.

Body Height↗
PubMedDate not supplied

Lower-limb and whole-body tissue composition assessment in healthy active older women.

AIM: The study evaluated, in active elderly women, the accuracy and bias of anthropometry and bioelectrical impedance analysis (BIA) for lower-limb and whole-body tissue composition measures using dual-energy X-ray absorptiometry (DXA) as the criterion method. METHODS: Nineteen individuals (66.1 +/- 4.2 years) participated in the study. Whole-body fat mass (FM) and fat-free mass (FFM) were measured by anthropometry, BIA and DXA. Lower-limb volume (LLV) and lower-limb FFM (LLFFM) were assessed by anthropometry and DXA. RESULTS: LLV and LLFFM were significantly overestimated by anthropometry vs. DXA (p < 0.05 and p < 0.001, respectively) but significant relationships were observed [coefficient of determination (R(2)) > 0.25, p < 0.05]. No significant difference was observed between FM(A) (where (A) stands for anthropometry) vs. FM(DXA) and FFM(A) vs. FFM(DXA) and significant relationships were observed [R(2) = 0.93, p < 0.001, coefficient of variation (CV) = 7.3%; and R(2) = 0.85, p < 0.001, CV = 4.4%, respectively]. No significant difference was observed between FM(BIA) and FM(DXA) and a significant relationship was observed (R(2) = 0.80, p < 0.001, CV = 11.6%). FFM was significantly underestimated by BIA vs. DXA (p < 0.01). CONCLUSIONS: In active elderly women, (i) compared with DXA, anthropometry overestimates LLV and LLFFM; (ii) anthropometry can be an accurate method for assessing whole-body composition; and (iii) despite a non-significant bias for the FM measurement, the BIA tends to overestimate FM and underestimate FFM.

Absorptiometry, Photon↗
PubMed2006

Body composition in children with bronchopulmonary dysplasia predicted from bioelectric impedance and anthropometric variables: comparison with a reference dual X-ray absorptiometry.

UNLABELLED: Since children with bronchopulmonary dysplasia often suffer from malnutrition and growth failure, evaluation of body composition is a very important tool to nutritional support. The aim of this study was to compare assessment of fat-mass (FM) and fat-free mass (FFM), evaluated by bio-impedancemetry and anthropometry compared to dual-X-ray-absorptiometry (DXA) in children with bronchopulmonary dysplasia. PATIENTS: Seventy-one children, aged 4-8 years, with bronchopulmonary dysplasia were enrolled. METHODS: FM and FFM measured using anthropometry and bio-impedancemetry were compared to FM and FFM obtained by DXA using the Bland-Altman method. RESULTS: Both bio-impedancemetry and anthropometry gave good agreement with DXA to evaluate FM and FFM. Anthropometry method, in general, slightly under-estimated FM (mean difference: -0.02 kg, standard deviation: 0.99) and FFM (mean difference: -0.70 kg+/-1.72). Bio-impedancemetry method overestimated FM (mean difference: 0.34 kg+/-2.06) and underestimated FFM (mean difference: -1.24 kg+/-3.32). CONCLUSION: In children with bronchopulmonary dysplasia aged, 4-8 years, both anthropometry and bio-impedancemetry cannot be used to precisely evaluate body composition.

Absorptiometry, Photon↗
PubMed1997

Relative validity of clinical techniques for measuring the body composition of persons with amyotrophic lateral sclerosis.

Tracking body composition is necessary to understand how amyotrophic lateral sclerosis (ALS) is affecting a patient's morphology and to provide a basis for appropriate nutritional advice throughout disease progression. Dual X-ray absorptiometry (DEXA) has been shown to reliably detect body composition changes in persons with ALS. However, this procedure is expensive and available primarily for research. The purpose of this study was to determine the relative validity of two common clinical techniques, anthropometry and bioelectrical impedance analysis (BIA), for measuring the body composition of persons with ALS. Twenty-three persons with ALS volunteered for the study; seven with primarily bulbar symptoms, five with primarily arm weakness, five with primarily leg weakness, and six with significant weakness in all extremities. On a single day subjects underwent body composition analysis by the three techniques, with DEXA serving as the criterion method. Anthropometry and BIA results were converted to lean and fat mass using eight prediction equations commonly cited in the literature. Anthropometry measures were also converted to estimates of muscle mass using two additional equations. Both BIA and anthropometry tended to overestimate lean mass and underestimate fat mass compared to DEXA. However, the BIA prediction equations had smaller mean differences, larger correlations, and smaller standard errors of estimate than the anthropometry equations. The Lukaski et al. BIA equation (Lukaski, H.C., Bolonchuk, W.W., Hall, C.B., Siders, W.A., 1986. Validation of tetrapolar bioelectrical impedance method to assess human body composition. J. Appl. Physiol. 60, 1327-1332) most closely matched the values derived by DEXA and is probably the best method for measuring the lean and fat mass of persons with ALS, as long as they maintain adequate hydration levels. The Heymsfield et al. equation (Heymsfield, S.B., McManus, C., Smith, J., Stevens, V., Nixon, D.W., 1982. Anthropometric measurement of muscle mass: revised equations for calculating bone-free arm muscle area. Am. J. Clin. Nutr. 36, 680-690) for estimating muscle mass may also be a useful clinical tool for this population. Further longitudinal studies are needed to determine whether the equations that correlated best with DEXA at a single point in time are also sensitive enough to detect changes in body composition over a period of time.

Absorptiometry, Photon↗
PubMed1998

Sagittal abdominal diameter as a practical predictor of visceral fat.

OBJECTIVE: To evaluate the relationships between the supine sagittal abdominal diameter (SAD) and visceral fat, as well as to evaluate intra- and inter-observer reliability of sagittal diameter measurement. PATIENTS: Twenty-eight women ranging in age from 27-78 y with a body mass index (BMI) ranging from 16.9-48.1 kg/m2 and 23 men ranging in age from 32-75 y with BMI ranging from 20-41.6 kg/m2. MEASUREMENT: Body fat distribution was measured by waist circumference, waist to hip ratio (WHR), SAD, anthropometrically assessed and a single slice of computed tomography (CT) at the L4-L5 level. RESULTS: In both genders, a significant association was found between visceral adipose tissue (AT) and SAD, as evaluated by CT (women r = 0.80; men r = 0.83, P < 0.001), and SAD by anthropometry (women r = 0.76; men r = 0.82, P < 0.001), as well as between visceral AT and waist circumference (women r = 0.76, men r = 0.86, P < 0.001) and WHR (women r = 0.57, P < 0.01, men r = 0.80, P < 0.001). A significant association was also found between subcutaneous AT and SAD by anthropometry (women r = 0.79, men r = 0.74, P < 0.001). After adjusting for BMI, the association between subcutaneous AT and SAD was no longer significant in men and only moderately significant in women (r = 0.42, P < 0.05), while the association between visceral AT and SAD by anthropometry remained significant in both genders (women r = 0.63, P < 0.001; men r = 0.66, P < 0.001). When the subjects were divided into two groups according to BMI (lean to moderately overweight women with BMI < 28 and men with BMI < 30 and obese women with BMI > 28 and men with BMI > 30) we found that the relationships between SAD by anthropometry, as well as SAD by CT and visceral AT, were higher in lean to moderately overweight subjects than in those who were obese. High inter-observer correlation was found concerning SAD measurement (r = 0.99, P < 0.001). Intra- and inter-observer precision as evaluated by coefficient of variation and intraclass correlation coefficient for SAD measurement was very high. CONCLUSION: Our study shows the usefulness of SAD by anthropometry to predict visceral fat and its very high inter- and intra-observer precision.

Abdomen↗
PubMed2006

Body composition in patients with chronic obstructive pulmonary disease: which method to use in clinical practice?

The objective of the present study was to compare anthropometry with bioelectrical impedance (BIA) in relation to densitometry (dual-energy X-ray absorptiometry; DEXA) as methods of nutritional assessment and body composition in out-patients with chronic pulmonary obstructive disease (COPD). We conducted a cross-sectional clinical study with sixty-one patients with COPD (forty-two men and nineteen women), mean age of 66.5 (sd 7.9) years and forced expiratory volume in 1 s of 1.3 (sd 0.6) litres (52.2 (sd 19.8) % predicted), referred to the Pulmonary Rehabilitation Center. The patients were evaluated regarding nutrition status and body composition as determined by anthropometry, BIA and DEXA. In the results, 34.4 % showed mild obstruction, 31.2 %, moderate and 34.4 %, severe obstruction. According to the BMI (mean 24.5 (sd 4.5) kg/m2), 45.9 % of the patients exhibited normal weight, while 27.9 % were underweight and 26.2 % were obese. Related to fat-free mass (FFM), anthropometry and BIA compared with DEXA presented high correlations (r 0.96 and 0.95 respectively; P < 0.001) and high reliability between the methods (alpha 0.98; P < 0.001). Agreement analysis between the methods shows that anthropometry overestimates (0.62 (sd of the difference 2.89) kg) while BIA underestimates FFM (0.61 (sd of the difference 2.82) kg) compared with DEXA. We concluded that according to the nutritional diagnosis, half of our population of patients with COPD showed normal weight, while the other half comprised equal parts obese and underweight patients. Body composition estimated by BIA and anthropometry presented good reliability and correlation with DEXA; the three methods presented satisfactory clinical accuracy despite the great disparity of the limits of agreement.

Absorptiometry, Photon↗
PubMed1998

Age-related variability in body composition methods for assessment of percent fat and fat-free mass in men aged 20-74 years.

INTRODUCTION: Assessing body composition is important because of the association between excess body fat or obesity and the increased risk for coronary artery disease, diabetes, hyperlipidaemia and hypertension. Methodological differences among indirect body composition techniques are a source of variability that can affect estimations of fat-free mass (FEM) or percent fat, especially for different age groups. PURPOSE: This study examined the effect of age on the estimation of body composition by three methods based on the two-component model. One hundred and fifty-three men were placed into 5-year age groups from 20-24 to 70-74 years. Body composition was assessed by hydrodensitometry (underwater weighing; 40K spectroscopy (K40) and anthropometry. RESULTS: Day-to-day reliability was excellent for each method. Correlation coefficients between methods, independent of age, ranged from r= 0.71 (K40 and UWW) to r = 0.83 (UWW and anthropometry) for% fat and from r = 0.76 (K40 and anthropometry) to r = 0.90 (UWW and anthropometry) for FFM. Correlations between techniques weakened and showed greater variability as age increased. UWW produced the highest % fat and lowest FFM for the different age groups, while K40 and anthropometry yielded similar body composition values. All three methods detected age-related differences in % fat; however, only UWW determined a significant age effect in FFM. The greatest discrepancies between the methods occurred for the oldest age groups (60-74 years), but noticeable differences began occurring after the age of 40. CONCLUSIONS: Each method produced reliable data. Care should be taken when choosing any method based on the two-component model, especially when different age groups are being examined, since estimating % fat and FFM is dependent on the age-related chemical composition of an individual and the limitations of each method.

Adiposity↗
PubMed1995

Body fat and fat-free mass in infants: new and classic anthropometric indexes and prediction equations compared with total-body electrical conductivity.

Anthropometry is frequently used for nutritional assessment. Little is known in infants about the validity of anthropometric measurements in relation to whole-body fat (TBF) and fat-free mass (FFM) composition. We compared TBF and FFM estimations by total-body electrical conductivity (TOBEC) with anthropometry in 435 healthy infants ages 21-365 d. TBF was best correlated with weight-for-length and calf circumference (r2 = 0.84, r2 = 0.83). FFM was best correlated with body weight (r2 = 0.93). Upper-arm anthropometry, skinfold thickness, and Quetelet's and Ponderal indexes were poorly correlated with TBF and FFM (r2 < 0.65). New anthropometry-based prediction equations were calculated (r2 = 0.90 for TBF and r2 = 0.95 for FFM). New simple indexes (analogous to Quetelet's index) were calculated for TBF (weight x calf circumference/length; r2 = 0.87) and for FFM (square root of weight x length; r2 = 0.95). Prediction equations and indexes were cross-validated in a second population by a second observer. Interobserver variation was largest for equations with skinfold thicknesses included. We conclude that anthropometry can be used for rough estimations of infant body composition, although indexes different than those used in children and adults are preferred.

Adipose Tissue↗