Estimation of total water and fatness from weight and height: inaccurate for lean women

Mellits and Cheek have provided a regression equation which predicts total water, and by extension, fat, from weight and height of women. The equation has been used by many researchers as a convenient means to estimate fat when more complicated body composition estimation techniques are not possible. It is an essential component of evidence provide by Frisch for the critical fat hypothesis. The equation has not been validated on another sample, however, and has a large standard error. I test the Mellits and Cheek equation on five samples of young women, two of which show a normal range of heights and weights. The other three are athletic samples composed of lean women. In the normal samples mean fat percent determined by density (from underwater weighing) is closely approximated by the weight and height equation but not in the lean samples. When measured fat is regressed on estimated fat, correlations are low, and standard errors are high, suggesting that the Mellits and Cheek equation predicts poorly the body fat percentage of individual females. In summary, the Mellits and Cheek equation is moderately useful for the prediction of group means for body composition on samples with normal ranges of height and weight. It does not produce acceptable results on groups selected for extreme leanness or obesity. It is not recommended for fat prediction of individuals.     

Height, weight and earnings among coalminers in India

This paper analyses earning/wage differentials by height among coalmine workers in India. Our findings suggest that workers of above average height earn 9-17% more than their shorter counterparts and 6-13% more than average reference height. The results suggest that long-term investments in health human capital might ensure increase of labour productivity and thereby earnings, particularly in underdeveloped economies.     

The validity of obesity based on self-reported weight and height: Implications for population studies

Objective: To validate self‐reported information on weight and height in an adult population and to find a useful algorithm to assess the prevalence of obesity based on self‐reported information. Research Methods and Procedures: This was a cross‐sectional survey consisting of 1703 participants (860 men and 843 women, 30 to 75 years old) conducted in the community of Vara, Sweden, from 2001 to 2003. Self‐reported weight, height, and corresponding BMI were compared with measured data. Obesity was defined as measured BMI ≥ 30 kg/m². Information on education, self‐rated health, smoking habits, and physical activity during leisure time was collected by a self‐administered questionnaire. Results: Mean differences between measured and self‐reported weight were 1.6 kg (95% confidence interval, 1.4; 1.8) in men and 1.8 kg (1.6; 2.0) in women (measured higher), whereas corresponding differences in height were ?0.3 cm (?0.5; ?0.2) in men and ?0.4 cm (?0.5; ?0.2) in women (measured lower). Age and body size were important factors for misreporting height, weight, and BMI in both men and women. Obesity (measured) was found in 156 men (19%) and 184 women (25%) and with self‐reported data in 114 men (14%) and 153 women (20%). For self‐reported data, the sensitivity of obesity was 70% in men and 82% in women, and when adjusted for corrected self‐reported data and age, it increased to 81% and 90%, whereas the specificity decreased from 99% in both sexes to 97% in men and 98% in women. Discussion: The prevalence of obesity based on self‐reported BMI can be estimated more accurately when using an algorithm adjusted for variables that are predictive for misreporting.     

Historical trends in height, weight, and body mass: Data from U.S. Major League Baseball players, 1869-1983

We employ a unique dataset of Major League Baseball (MLB) players - a select, healthy population - to examine trends in height, weight, and body mass in birth cohorts from 1869 to 1983. Over that 115-year time period, U.S. born MLB players have gained, on average, approximately 3 in. (7.6 cm) in height and 27.0 lb (12.2 kg) in weight, which has contributed a 1.6-unit increase in the body mass index. Where comparable data are available, U.S. born MLB players are about 2.0 in. (5.1 cm) taller and 20.0 lb (9.1 kg) heavier but substantially less obese than males in the general U.S. population. But both groups exhibit similar height and weight trends; the majority of height and weight gains take place in cohorts that were born prior to World War II, followed by slower gains and occasional declines in height and weight for cohorts born in 1939 and later.     

Socioeconomic status, height, and obesity in children

The substantial increase in the prevalence of child obesity over recent decades and its association with a number of negative health and economic outcomes suggests its strong potential as an influence on the lifecourse development of health and productivity. This paper evaluates interactive effects between family socioeconomic status (SES) and height on child obesity in the United States. Using the 1999-2006 National Health and Nutrition Examination Surveys (NHANES), the results of this paper confirm previous findings that taller children exhibit greater propensity towards obesity as measured by body mass index (BMI) and that obesity is inversely related to family SES as measured by poverty status. The analysis adds to the existing literature by showing that the magnitude of the SES-obesity association is larger in taller children. Age and sex patterns are evaluated that suggest the SES-height interaction persists through childhood and adolescence in males but is only evident in females during adolescence. Interaction effects are also shown to be most evident in white males and Hispanic females. Policy implications are discussed and directions for future work are suggested.     

The validity of self-reported weight change among adolescents and young adults

Objective: To assess the association of weight change based on serial self‐reported vs. measured weights. Research Methods and Procedures: Two thousand two hundred eighty‐four male and 2476 female participants in the National Longitudinal Study of Adolescent Health who provided information on weight at Waves II and III and were at least 16 years of age were studied. Linear regression was used to assess predictors of the discrepancy between weight change based on self‐reported vs. measured weights. Logistic regression was used to identify predictors of self‐report correctly classifying participants in terms of weight change category. Results: Self‐reported weight was slightly lower than measured weight at Waves II and III, but weight change based on self‐reported weights underestimated true weight change by only 2.1 (female participants) to 2.8 (male participants) pounds. Overweight and obese female participants were consistent in their under‐reporting of their weight more than their leaner peers; thus, the discrepancy between weight change from Wave II to Wave III based on serial self‐reports vs. measured weights was significantly smaller among the obese female vs. healthy‐weight female participants (0.3‐ vs. 2.3‐pound underestimation, p < 0.05). Among the male participants, the same pattern was evident. African‐American ethnicity, Hispanic ethnicity, the level of physical activity, the hours per week watching television, and weight change efforts were not related to the discrepancy between weight change based on self‐reported vs. measured weights. Discussion: The discrepancy between weight change based on self‐report vs. measured weights was minor and not related to race, weight change efforts, activity, or inactivity, thus suggesting that much of the error is random.     

Driver’s licenses as a source of data on height and weight

We investigated the feasibility of using driver’s license records to obtain height and weight data of individuals. First, we linked Washington State driver’s license records (DOL) to the state birth files to assess how well driver’s licenses can be linked to a public health database. We were able to match 78.4% of mothers and 71.7% of fathers on birth records to driver’s license records. Then we assessed the accuracy of DOL height and weight data by comparing them to heights and weights measured on control women enrolled in a cancer etiology study (CES). There is a close relation between CES and DOL heights, but not a close relation between weights. Our results suggest that driver’s license files are a good source of information for women’s heights, but are not as good for women’s weights.     

Comparison of self-reported and measured BMI as correlates of disease markers in US adults

Objective: The purpose of this study is to evaluate the validity of BMI based on self‐reported data by comparison with technician‐measured BMI and biomarkers of adiposity. Research Methods and Procedures: We analyzed data from 10,639 National Health and Nutrition Education Study III participants ≥20 years of age to compare BMI calculated from self‐reported weight and height with BMI from technician‐measured values and body fatness estimated from bioelectrical impedance analysis in relation to systolic blood pressure, fasting blood levels of glucose, high‐density lipoprotein‐cholesterol, triglycerides, C‐reactive protein, and leptin. Results: BMI based on self‐reported data (25.07 kg/m²) was lower than BMI based on technician measurements (25.52 kg/m²) because of underreporting weight (?0.56 kg; 95% confidence interval, ?0.71, ?0.41) and overreporting height (0.76 cm; 95% confidence interval, 0.64, 0.88). However, the correlations between self‐reported and measured BMI values were very high (0.95 for whites, 0.93 for blacks, and 0.90 for Mexican Americans). In terms of biomarkers, self‐reported and measured BMI values were equally correlated with fasting blood glucose (r = 0.43), high‐density lipoprotein‐cholesterol (r = ?0.53), and systolic blood pressure (r = 0.54). Similar correlations were observed for both measures of BMI with plasma concentrations of triglycerides and leptin. These correlations did not differ appreciably by age, sex, ethnicity, or obesity status. Correlations for percentage body fat estimated through bioelectrical impedance analysis with these biomarkers were similar to those for BMI. Discussion: The accuracy of self‐reported BMI is sufficient for epidemiological studies using disease biomarkers, although inappropriate for precise measures of obesity prevalence.     

On the accuracy of perceived parental height in a native Amazonian society

Studies of secular trends in adult height in rural pre-literate societies are likely to show no change owing to random measurement error in age. In such societies, adults lack birth certificates and guess when estimating their age. We assess the accuracy of perceived height of the same-sex parent to estimate secular trends. We tested the method among the Tsimane', a native Amazonian society of farmers and foragers in Bolivia. Subjects included 268 women and 287 men >20 years of age. Over half the sample reported inaccurately the height of their same-sex living parent, with a tendency to report no difference when, in fact, differences existed. Results highlight the pitfalls of using perceived parental height to examine secular trends in adult height among the Tsimane', though the method might yield accurate information in other societies. We discuss possible reasons for the low accuracy of Tsimane' estimates.     

Childcare, height and BMI among female Polish university students, 2005

The aim of this study is to consider whether socio-economic factors are related to the type of childcare and whether the type of childcare, in turn, affects adult stature and BMI. The sample includes 783 female students aged 20-24 (birth cohort of 1981-1985) from the south of Poland. Those whose parents have university education, live in a city and have no siblings attend day-care facilities more frequently than others of the same age, while those who grew up at home under their mothers' care, most frequently live in villages, come from large families and their parents have vocational education. Variables which are associated with being taller include material conditions and the type of childcare received. Women who had attended day-care centres are 2.4cm shorter than girls brought up at home by their mothers. Adult BMI values are influenced by educational level of the mother. The results suggest that mothers who work often do so at the cost of time devoted to the family which influences health and the rate of their children's development.     

Accuracy of self-reported weight among bariatric surgery candidates: the influence of race and weight cycling

Objective: Research on the accuracy of self‐reported weight has indicated that the degree of misreporting (underestimating) weight is associated with increasing weight but is variable across patient groups. We examined the degree of discrepancy between actual and self‐reported BMI in severely obese bariatric surgery candidates, and whether the degree of accuracy varied by race and by eating‐related and psychological factors. Research Methods and Procedures: Participants were 179 obese female gastric bypass surgery candidates (31 black, 22 Hispanic, 126 white) who were asked to self‐report height and weight as part of a larger assessment battery. Actual height and weight were then measured and a discrepancy score was generated (actual BMI ? reported BMI). Results: In this group of severely obese patients, degree of misreporting was unrelated to BMI. The race groups did not differ in actual or self‐reported BMI but differed significantly in the degree of misestimation between self‐reported and actual BMI. Post hoc tests indicated that black women underestimated their BMI significantly more than white women; Hispanic women did not differ from the other race groups. No eating‐related or psychological variables assessed predicted percentage discrepancy; however, the accuracy in self‐reported weight was related to history of weight cycling. Discussion: Overall, obese bariatric surgery candidates were accurate in self‐report of weight, although the degree of accuracy differed by race and weight cycling history.     

The reliability of adult self-reported height: The role of interviewers

Surveys serve as an important source of information on key anthropometric characteristics such as body height or weight in the population. Such data are often obtained by directly asking respondents to report those values. Numerous studies have examined measurement errors in this context by comparing reported to measured values. However, little is known on the role of interviewers on the prevalence of irregularities in anthropometric survey data. In this study, we explore such interviewer effects in two ways. First, we use data from the US National Health and Nutrition Examination Survey and the UK Household Longitudinal Study to evaluate whether differences between reported and measured values are clustered within interviewers. Second, we investigate changes in adult self-reported height over survey waves in two German large-scale panel surveys. Here, we exploit that height should be constant over time for the majority of adult age groups. In both analyses, we use multilevel location-scale models to identify interviewers who enhance reporting errors and interviewers for whom unlikely height changes over waves occur frequently. Our results reveal that interviewers can play a prominent role in differences between reported and measured height values and changes in reported height over survey waves. We further provide an analysis of the consequences of height misreporting on substantive regression coefficients where we especially focus on the role of interviewers who reinforce reporting errors and unlikely height changes.     

Child health in rural Colombia: determinants and policy interventions

We study the determinants of child anthropometrics on a sample of poor Colombian children living in small municipalities. We focus on the influence of household consumption, and public infrastructure, taking into account the endogeneity of household consumption using two different sets of instruments: household assets and municipality average wage. We find that both household consumption and public infrastructure are important determinants of child health. We have also found that the coverage of the piped water network positively influenced child health if the parents have some education.     

Height and weight in Germany, evidence from the German Socio-Economic Panel, 2002

This paper examines the socio-economic variation in height and weight using data from the German Socio-Economic Panel. Results reinforce previous research insofar as height is associated with socio-economic differences. For example, a low maternal schooling level or a lower position in the income distribution is negatively correlated with the height of West Germans. Furthermore, there is a west-east and a north-south gradient in height in Germany. BMI is also determined by individuals' characteristics with similar underlying patterns. That is, in both West and East Germany, women with low income and low education have a higher BMI whereas the better educated women weigh less.     

The vanishing weight gap: Trends in obesity among adult food stamp participants (US) (1976–2002)

High rates of obesity among low-income populations have led some to question whether USDA's food assistance programs have contributed to this health problem. Using data from National Health and Nutrition Examination Surveys (NHANES), this study shows that the association between food assistance program participation and body weight measures has weakened over the past three decades. Earlier NHANES data show that program participants were more likely to be overweight than individuals who were eligible but not participating in the program. This was particularly true among white women. However, the more recent data show that these differences have vanished, as the BMI of the rest of the population has caught up to BMI levels of food stamps recipients.     

Living standards and inequality in the industrial revolution: Evidence from the height of University of Edinburgh students in the 1830s

Trends in living standards during the Industrial Revolution is a core debate in economic history. Studies using anthropometric records from institutional sources have found downward trends in living standards during the first half of the nineteenth century. This paper contributes to this literature by utilising an overlooked source of middle and upper class anthropometric data: the height and weight of university students. Combined with more traditional anthropometric sources these data give us a snapshot into the range of living standards experienced by different sections of society in the United Kingdom. Our findings suggest that inequality was most pronounced in Ireland, followed by England. Height inequality in Scotland was still substantial, but somewhat lower in comparison.     

Impact of weight loss predictors in severe-morbid obesity patients in the Saudi population

Universally, obesity has been affected more than 650 million and converts as global health problem. Obesity is equally affecting starting from children to elder population. Obese subjects are converting into severe obese and then into morbid obesity. Body mass index is proning from 30 to 50 kg/m² in the adult population. Obesity is connected with the future complications of hypertension, type 2 diabetes mellitus, cardiovascular, stroke, osteoarthritis, obstructive sleep apnea and liver diseases. Loosing of body fat is the only option to avoid obesity and this could be achieved with routine physical activity and diet modifications. Obesity subjects may fail to achieve the daily routine activities or insufficient activity may be involved and finally fail to lose the body fat after the medical course. Then these severe or morbidity obese can be lose with the existing surgery. Currently, Bariatric Surgery (BS) has become the active treatment for long-term weight loss. Various types (Roux-en-Y gastric bypass, sleeve gastrectomy and duodenal switch and the jejunoileal bypass) of BS are performed on the gastrointestinal tract. Throughout the world population, BS has found to be safe in losing the weight and avoiding the future and long-term complications. The prevalence of overweight and obesity in Saudi Arabia is an issue in terms of incidence and health consequences. Maximum obesity studies involved in Saudi Arabia has proven to be develop the long-term complications in the future involving from child to morbid obesity. Limited bariatric studies carried out in the Saudi subjects confirmed as effective tool in lowering the body fat and avoiding the life-threatened complications of human diseases. So, this review recommends BS as effective and safe surgical treatment to lose body fat in the Saudi population. However, post-operative monitoring is mandatory to follow-up.     

Comparison of measured and parents' reported height and weight in children and adolescents

The objectives of this study were to (i) compare parent-reported height and weight to measured height and weight in children between ages 2 and 17 years, (ii) investigate correlations between magnitude of error of parent-reported data or refusal to estimate height and weight with gender, race/ethnicity, child's age, and age-specific BMI z-score, and (iii) determine sensitivity and specificity of identifying obese youth based on parent-reported data. The authors studied 1,430 consecutive outpatients between ages 2 and 17 years at an outpatient orthopedic clinic. At the initial visit, parents completed a questionnaire including their child's height and weight; height and weight were then measured. Mean height error was very small, with slight overestimation in boys and underestimation in girls. Mean weight error increased with age (P < 0.001), and girls had a larger mean weight error (1.29 kg, 95% confidence interval (CI): 0.65, 1.45) than boys (0.85 kg, 95% CI: 0.8: 0.58, 1.12). Mean weight error also increased with age-specific BMI z-score (r = 0.32, P < 0.001). Correlation between weight error and age-specific BMI z-score was higher among black children (r = 0.45, P < 0.001) than among Hispanic children (r = 0.37, P < 0.001) and was lowest among white children (r = 0.29, P < 0.001). Refusal or inability to estimate weight did not correlate with age-specific BMI z-score. Twenty-one percent of children who were obese would not be identified by using parent-reported data to calculate the BMI.