Predictors of the accuracy of self-reported height and weight in adolescent female school students

OBJECTIVE: The authors investigated predictors of the accuracy of self-reported values of body weight and height in adolescent females. METHOD: Self-reported and measured weight and height values were obtained for 683 school students aged 11-18 years. Predictors of accuracy were determined for self-reported weight, height, and body mass index (BMI; based on self-reported values). RESULTS: Self-reported weight was underestimated. This was most likely for students with higher BMI values and actual weight. Younger, early pubertal and premenarcheal students were most likely to underestimate their height whereas older, postmenarcheal (more than 3 years) students were most likely to overestimate their height. The more exercise reported, the more accurate the height estimation. This translates to a greater underestimation of BMI as adolescents become older, have a longer duration since menarche, and exercise more. DISCUSSION: When accurate information is required, clinicians should measure height and weight, particularly if the adolescent female is perimenarcheal or appears to differ from population averages for height and weight.     

How accurately are height, weight and leg length reported by the elderly, and how closely are they related to measurements recorded in childhood?

BACKGROUND: This paper examines (1) the accuracy of self-reported height, leg length and weight in a group of subjects aged 56-78; (2) whether recent measurement of height and weight influences the accuracy of self-reporting and (3) associations between childhood and adult height, leg length and BMI measured in old age. METHODS: All 3182 surviving members of the Boyd Orr cohort were sent postal questionnaires in 1997-1998 and a sub-sample (294) was also clinically examined. RESULTS: Self-reported height was overestimated and body mass index (BMI), based on reported height and weight, underestimated. The mean difference between self-report and measured values were for height: 2.1 cm in males and 1.7 cm in females; for BMI the difference was -1.3 kg/m(2) in males and -1.2 kg/m(2) in females. Shorter individuals and older subjects tended to over-report their height more than others. The overweight under-reported their weight to a greater extent. Recent measurement appeared to decrease over-reporting of height but not weight. Correlations between self-report and measured height and BMI were generally over 0.90, but weaker for leg length (r = 0.70 in males and 0.71 in females). Adult height and leg length were quite closely related to their relative values in childhood (correlation coefficients ranged from 0.66 to 0.84), but associations between adult and childhood BMI were weak (r = 0.19 in males and 0.21 in females). CONCLUSIONS: Self-reported measures of height and weight may be used in studies of the elderly although systematic reporting errors may bias effect estimates. As overweight individuals tend to under-report and the short and underweight tend to over-report, studies investigating associations of disease with height and weight using self-reported measures will underestimate effects. The weak associations between childhood and adult BMI indicate that associations between childhood adiposity and adult cardiovascular disease found in this cohort may reflect the specific effect of childhood overweight, rather than its persistence into adulthood. This suggests that avoidance of adiposity may be as important in childhood as in adulthood.     

Inaccuracy of self-reported weights and heights among American Indian adolescents

To determine the accuracy of self-reported weights and heights and of relative weight status in a sample of American Indian adolescents, a survey was conducted in middle and high schools on or near three Indian reservations—Navajo, Choctaw, and Blackfeet. Self-reported weights and heights were compared with measured weights and heights. Participants were 12 through 19 years old (N = 806, 47.4% male). Overall, both boys and girls underreported weight (mean difference = self-reported − measured mean values) (−3.4 ± 13.1 and −4.6 ± 13.0 lb, respectively) and overreported height (0.6 ± 2.1 and 0.2 ± 2.6 in, respectively). However, underweight boys and girls overreported weight (4.1 ± 13.8 and 1.6 ± 6.4 lb, respectively) while normal-weight and overweight respondents underreported weight (normal: −1.6 ± 7.9 and −1.4 ± 6.3; overweight: −7.5 ± 17.9 and −11.6 ± 19.0 lb, respectively). Although correlations between measured and reported weight, height, and body mass index (BMI) were high, the sensitivity of relative weight categories based on BMI using self-reported weight and height compared with measured weight and height was poor: 66.7% for underweight (BMI < 15th percentile, based on a national reference population), 88.9% for normal weight, and 73.6% for overweight (>85th percentile). These results call into question the accuracy of self-reported weight and height measurements among American Indian youth and are similar to findings among non-American Indian adolescents. Therefore, their use in prevalence studies should be avoided, and they should be used cautiously in other types of epidemiologic studies.     

Accuracy of body mass index estimated from self-reported height and weight in mid-aged Australian women

Objective: To assess the accuracy of body mass index (BMI) estimated from self‐reported height and weight from a mailed survey, in a population‐based sample of mid‐aged Australian women. Methods: One hundred and fifty nine women (age 54–59 years) were recruited from the Australian Longitudinal Study on Women's Health (ALSWH). Participants provided height and weight data in a mailed survey and were then measured (Brisbane, Australia 2005). Differences between self‐reported and measured data were examined by plotting against the measured values and using paired t‐tests and kappa statistics. Factors associated with biased reporting were assessed using regression models. Results: Both self‐reported height and weight tended to be underestimated, with a mean difference of 0.67 cm (95% CI 0.26 to1.08 cm) and 0.95 kg (95% CI 0.44 to1.47 kg) respectively. Reported height and derived BMI was more accurate among married women than single women (average difference of 1.28 cm, 95% CI 0.19 to 2.37 cm and –1.00 kg/m², 95%CI –1.69 to –0.30, respectively). Women with BMI 18.5–24.9 kg/m 2 reported weight more accurately than obese women (average difference of 2.26 kg, 95% CI 0.14 to 4.38 kg). There was 84% agreement between BMI categories derived from self‐reported and measured data, with 85%, 73% and 94% of women correctly classified as obese, overweight, and healthy BMI using self‐reported data and kappa=0.81. Conclusions: There is substantial agreement between self‐reported and measured height and weight data for mid‐aged women, especially among married and healthy weight women. Implications: Population‐based studies among mid‐aged women in Australia can use self‐reported data obtained from mailed surveys to derive BMI estimates.     

Comparison of self-reported and measured height and weight in eighth-grade students

The goal of this study was to evaluate the relationships between self-reported and measured height, weight, and body mass index (BMI) in a sample of eighth-grade students. The study population consisted of eighth-grade students in eastern North Carolina who completed a cross-sectional survey, self-reported their height and weight, and had their height and weight measured (N = 416). Fifty-nine percent of the sample was male; 42% African American, 46% white, and 12% other races. Mean self-reported weight (62.9 kg) was significantly lower than mean measured weight (64.4 kg). Mean self-reported BMI (22.8 kg/m2) was significantly lower than mean measured BMI (23.3 kg/m2). Race and BMI category were significantly associated with reporting errors. Specifically, African American and white students were significantly less likely to under-report their height compared to other race students. African American students were more likely to underestimate their weight compared to other race students. BMI was more likely to be underestimated in African American and white students compared to other race students. Students who were at risk for overweight and those that were overweight were more likely to underestimate their weight and BMI than students who were normal weight. Approximately 17% of students were misclassified in BMI categories when self-reported data were used. The results indicate that eighth-grade students significantly underestimate their weight, but on average provide valid estimates of their height. Race and measured BMI category influence this discrepancy. School-based research that addresses the prevalence of obesity in adolescents should utilize measured height and weight when feasible.     

Are the associations between diet and C-reactive protein independent of obesity?

OBJECTIVES: To determine the relative magnitude of the effect of dietary factors on circulating C-reactive protein (CRP) levels, controlling for BMI. METHODS: 1808 men and 2269 women attended the 1994/95 follow-up survey from the Busselton Health Study, Australia. A composite diet score was derived from a short questionnaire. Height and weight were measured. RESULTS: After controlling for BMI, CRP levels were associated with red meat intake (males only, p=0.001), fruit intake (males p<0.0001, females p=0.029), potato intake (males p=0.008, females p=0.029), using wholemeal bread (males p=0.014, females p=0.018), using polyunsaturated fats as a spread and in cooking (females only, p=0.005), and rarely or never adding salt to food (males p=0.012, females p=0.004). The overall diet score was significantly (negatively) related to CRP in males (p<0.0001) and females (p<0.0001). The relative decrease in CRP from a moderately healthy diet, compared to an unhealthy diet was 37% in men and 24% in women. This was comparable to a difference in BMI of at least 3 kg/m(2) (or a difference in weight of approximately 9 kg for a person of average height). CONCLUSION: A healthy diet and lower weight have independent beneficial effects of similar magnitude on CRP levels.     

Validity of Self-reported Height and Weight in Women of Reproductive Age

OBJECTIVES: Height and weight are key variables in epidemiologic research, including studies of reproductive outcomes. Optimally, this information is collected by trained study personnel. However, direct measurements are not always feasible. The purpose of this study was to investigate the accuracy of self-reported height and weight, as well as the resultant body mass index (BMI) calculated from self-reported height and weight (referred to as self-reported BMI), among a group of women of reproductive age according to select demographic variables. METHODS: A total of 381 women provided self-reported height, weight, and demographic information on a questionnaire for a study of contraceptive trends while attending a Family Medicine clinic. Height and weight were also abstracted from medical records for 275 of these study participants. Self-reported and measured values for height, weight, and BMI were compared using paired t-tests. Analysis of variance, chi-square tests, and Fisher's Exact tests were used to examine how differences between self-reported and measured values varied by select demographic factors. RESULTS: Women underestimated weight by 4.6 pounds, overestimated height by 0.1 inches, and underestimated BMI by 0.8 kg/m(2). All women, regardless of age, education, race/ethnicity, or marital status, underestimated their weight. These differences were statistically significant for all groups (p<0.01) with the exception of women with a high school education. Self-reported height and weight measures classified 84% of women into appropriate BMI categories. CONCLUSIONS: Overall, self-reported height and weight were found to give an accurate representation of true BMI in this study. There were some demographic differences in the ability to accurately report height and weight, particularly with respect to race/ethnicity. Future studies should investigate these racial/ethnic differences among a larger population.     

Reliability and validity of self-reported height and weight among high school students.

PURPOSE: To assess the reliability and validity of self-reported height and weight, and variables calculated from these values, in a diverse sample of adolescents. METHODS: A convenience sample of students (n = 4619) in grades 9 through 12 reported their height and weight on two questionnaires administered approximately 2 weeks apart. Using a standard protocol, a subsample of these students (n = 2032) also were weighed and had their height measured following completion of the first questionnaire. RESULTS: Self-reported heights at Time 1 and Time 2 were highly correlated, and the mean difference between height at Time 1 and Time 2 was small. Results were similar for self-reported weight at Time 1 and Time 2 and body mass index (BMI) calculated from these values. Although self-reported values of height, weight, and BMI were highly correlated with their measured values, on average, students overreported their height by 2.7 inches and underreported their weight by 3.5 pounds. Resulting BMI values were an average of 2.6 kg/m(2) lower when based on self-reported vs. measured values. The percentages of students classified as "overweight" or "at risk for overweight" were therefore lower when based on self-reported rather than on measured values. White students were more likely than those in other race/ethnic groups to overreport their height, and the tendency to overreport height increased by grade. Female students were more likely than male students to underreport their weight. CONCLUSIONS: Self-reported height, weight, and BMI calculated from these values were highly reliable but were discrepant from measured height, weight, and BMIs calculated from measured values. BMIs based on self-reported height and weight values therefore underestimate the prevalence of overweight in adolescent populations.     

Race differences in accuracy of self-reported childhood body size among white and black women

OBJECTIVE: To assess the relation of self-reported current and recalled preadolescent body size to measured BMI (kilograms per meter squared) and interviewer's assessment of body size. RESEARCH METHODS AND PROCEDURES: This was a prospective cohort study of 1890 white and black women who were 9 to 10 years old at time of enrollment and were followed up 10 to 13 years later. At baseline, subjects had their weight and height measured and were asked to indicate their current body size from a series of nine pictograms. A sample of the subjects also had their body size evaluated by interviewers. At the young-adult follow-up visit, subjects were asked to recall their body size at 9 and 10 years old and to indicate their current weight, height, body size, and level of concern with weight. RESULTS: Among the women with interviewer assessments, 84% of the white women and 67% of black women recalled a body size that was within one body size of the interviewer's assessment. Independent of weight status in childhood or at follow-up, black women were 3 times more likely than white women to recall a body figure that was more than one figure leaner than the shape they reported at baseline (odds ratio = 3.5, 95% confidence interval 2.8 to 4.5) or than the interviewer's rating at baseline (odds ratio = 3.4, 95% confidence interval 2.4 to 4.9). DISCUSSION: The results suggest that the use of body figures to recall childhood size are best suited for ranking subjects in terms of BMI. The higher rate of underestimation of size by black women suggests that body figure ratings work best for white women.     

How useful is waist circumference for assessment of abdominal obesity in Korean pre-menopausal women during weight loss?

Asian women are known to have a larger amount of abdominal fat (AF) for the same level of BMI compared with Caucasian and African-American women. This study was aimed to determine whether waist circumference (WC) could be useful as an index of AF compared with AF measured by dual energy x-ray absorptiometry (DXA) before and after a weight-loss program in Asian women. Thirty-eight healthy, pre-menopausal obese Korean women (body fat percent>30%) were enrolled and followed during a 6-week weight-loss program including herbal formula, calorie restriction, and exercise. Anthropometry and DXA measurements were performed before and after weight-loss. A specific region of interest (ROI, L2-iliac crest) by DXA was correlated with anthropometry at baseline: WC (gamma=0.91)>BMI (gamma=0.87)>Waist-Height ratio (WHtR, gamma=0.82)>WHR (gamma=0.46); and after weight loss: BMI (gamma=0.88)>WC (gamma=0.84)>WHtR (gamma=0.82), all p<0.01. The change in DXA ROI showed a reasonable correlation with change in anthropometry: BMI (gamma=0.63, p<0.01)>WC (gamma=0.39, p<0.05)>WHtR (gamma=0.37, p<0.05). A stepwise multiple regression analysis revealed that 83% of the variance in DXA derived AF was explained by WC at baseline, WC and BMI at follow-up, respectively. This study suggests that WC could be a good predictor of AF for Korean pre-menopausal women.     

Lean and weight stable: behavioral predictors and psychological correlates

OBJECTIVE: To examine behavioral characteristics associated with being lean and weight stable during adulthood. RESEARCH METHODS AND PROCEDURES: Participants included 165 white married couples who were part of a larger longitudinal study. Participants' height and weight were measured on three occasions at 2-year intervals. Men and women were classified as being lean and weight stable (the target group) if they had a BMI < 25 at baseline and maintained their weight within 5% of baseline at 2nd and 4th year follow-up. Individuals not fulfilling these criteria were included in the comparison group. Group differences in background characteristics including childhood weight status, BMI at each occasion, dieting history, and mental and physical health history were examined. In addition, multiple measures of dietary intake and physical activity were obtained and used to predict the likelihood of being in the target group. RESULTS: Men (N = 22) and women (N = 36) in the target group had lower mean BMI scores at each occasion, were less overweight during childhood, were less likely to have dieted in the past year, and rated themselves as being more healthy than men and women in the comparison group. No differences were identified in mental health. Relative to the comparison group, women in the target group reported higher levels of physical activity and higher levels of physical activity among their spouses, and men in the target group reported healthier dietary patterns. DISCUSSION: Results from this study suggest that being lean and weight stable in adulthood is linked to childhood weight status in combination with dietary and activity patterns during adulthood.     

Body mass index: comparing mean values and prevalence rates from telephone and examination surveys

BACKGROUND: Cost effective means of assessing the levels of risk factors in the population have to be defined in order to monitor these factors over time and across populations. This study is aimed at analyzing the difference in population estimates of the mean levels of body mass index (BMI) and the prevalences of overweight, between health examination survey and telephone survey. METHODS: The study compares the results of two health surveys, one by telephone (N=820) and the other by physical examination (N=1318). The two surveys, based on independent random samples of the population, were carried out over the same period (1992-1993) in the same population (canton of Vaud, Switzerland). RESULTS: Overall participation rates were 67% and 53% for the health interview survey (HIS) and the health examination survey (HES) respectively. In the HIS, the reporting rate was over 98% for weight and height values. Self-reported weight was on average lower than measured weight, by 2.2 kg in men and 3.5 kg in women, while self-reported height was on average greater than measured height, by 1.2 cm in men and 1.9 cm in women. As a result, in comparison to HES, HIS led to substantially lower mean levels of BMI, and to a reduction of the prevalence rates of obesity (BMI>30 kg/m(2)) by more than a half. These differences are larger for women than for men. CONCLUSION: The two surveys were based on different sampling procedures. However, this difference in design is unlikely to explain the systematic bias observed between self-reported and measured values for height and weight. This bias entails the overall validity of BMI assessment from telephone surveys.     

Height-related changes in body mass index: a reappraisal

OBJECTIVES: To study the relationship between body mass index (BMI) and height in 20-22 year-old patients. METHODS: A research questionnaire filled by a representative sample of military personnel upon discharge from service was analyzed. At the same time, weight and height were measured, and BMI was calculated (BMI = weight (Kg)/height(2)(m(2))). RESULTS: There were 35,951 participants in the study, including 16204 females and 19747 males. There was a positive correlation between BMI and height in men (regression slope = 0.00717, r = 0.015, p = 0.03), while the correlation was negative in women (regression slope = -0.02811, r = -0.05, p < 0.0001). In multiple regression analysis, when BMI was used as the dependent variable and height, gender, ethnic origin, smoking, oral contraceptive use, and level of recreational exercise as the independent variables, only height, gender, and ethnic origin remained significant in the final analysis (R-square 0.0205, p < 0.0001). CONCLUSION: In young adults, BMI is affected in a subtle, but opposite manner in males and females. In males, BMI increases with increasing height, while in females, BMI decreases with increasing height.     

Can secondary school students' self-reported measures of height and weight be trusted? An effect size approach

BACKGROUND: Self-reported measures of height and weight are a cost-effective alternative to direct measures in large-scale studies. This study was designed to examine the accuracy of adolescent students' self-reported height and weight taking into consideration the magnitude of the differences. METHODS: Self-reported height and weight were taken from 300 secondary public schools students. Participants' actual height and weight were subsequently verified. Body mass index (BMI; kg/m2) was calculated separately from reported and from actual measures. Adolescents' whose measured BMI was above the 85th percentile were characterized as 'at risk for overweight/obese'. RESULTS: There was no gender effect on the discrepancy between reported and actual measures. Overall adolescents significantly underestimated their weight and BMI. Although correlation coefficients were high, eta-square (eta2) values indicate large bias for weight (0.36) and BMI (0.31). 'At risk for overweight/obese' individuals underestimated their weight and BMI to a greater extent than their 'normal weight' counterparts. CONCLUSIONS: The magnitude of the discrepancies call into question the accuracy of self-reported weight and consequently the estimated BMI. Correlation coefficients did not provide any valuable information about the discrepancy between the self-reported and actual measures. A better understanding of the validity of self-reported height and weight could be reached if interpretation of the results is based on both statistical significance and magnitude of the differences.     

Prepregnancy body mass index and dietary intake in the first trimester of pregnancy

OBJECTIVES: Adequate maternal nutrition is of paramount importance in pregnancy, particularly in the first trimester when fetal development is crucial. It has been reported that heavier women are most likely to fear weight gain associated with pregnancy. Few studies have, however, investigated associations between prepregnancy body mass index (BMI) and nutrient intakes in the first trimester of gestation using detailed, prospective methodologies. The aim of this study was to investigate possible associations between prepregnancy BMI and nutrient intakes in the first trimester of gestation. DESIGN: Seventy-two Caucasian, primiparous nonsmokers of mean age 33.1 years (SD 4.6) were recruited from three London teaching hospitals and they completed a background information questionnaire and a 4- to 7-day weighed inventory food diary during the first trimester of pregnancy. Prepregnancy anthropometric data were extracted from General Practitioner records. RESULTS: Prepregnancy BMI was inversely associated with dietary energy (P = 0.04), Southgate and Englyst fibre (P < 0.01), and iron and folate (P < 0.01). After excluding under-reporters [individual energy intake:basal metabolic rate (estimated) ratio < 1.2], prepregnancy BMI was inversely associated with folate intake (P =0.04). Dietary intakes of Englyst fibre (P = 0.03) were statistically significantly lower than average dietary recommendations in this group. CONCLUSIONS: This study identified that women with a high prepregnancy BMI are more likely to under-report nutrient intakes. The finding that folate intake was significantly lower in heavier women accurately reporting dietary intake is of particular concern.     

Weight change and risk of developing type 2 diabetes

OBJECTIVE: To examine the association between weight change and risk of type 2 diabetes and whether initial weight modifies the association. RESEARCH METHODS AND PROCEDURES: This is a prospective cohort study of 20,187 alumni from Harvard University and the University of Pennsylvania. At baseline in 1962 or 1966, men (mean age, 45.9 years) reported their weight, height, and other risk factors. They also had had their weight and height measured at university entry (mean age, 18.5 years). Participants were followed from baseline to 1998 for type 2 diabetes. RESULTS: During follow-up, 1223 men developed type 2 diabetes. Weight gain significantly increased the risk of this disease. The multivariate relative risks associated with BMI change from university entry to baseline of <-0.5, +/-0.5, >0.5 to 1.0, >1.0 to 1.5, >1.5 to 2.0, >2.0 to 3.0, and >3.0 kg/m(2) per decade were 0.88, 1.00 (referent), 1.29, 2.09, 2.69, 4.67, and 7.02, respectively (p for trend < 0.0001). Even among men with a low initial BMI < 21 kg/m(2), weight gain significantly increased risk; the corresponding relative risks were (no cases), 1.00 (referent), 1.00, 1.93, 2.47, 4.82, and 7.68, respectively (p for trend < 0.0001). DISCUSSION: A low initial BMI does not ameliorate the increase in risk of type 2 diabetes with weight gain. Avoidance of weight gain, even among lean individuals, is important to reduce the risk of this disease.     

Reported versus measured body weight and height of 4-year-old children and the prevalence of overweight

BACKGROUND: In adults, body weight tends to be underestimated when based on self-reported data. Whether this discrepancy between measured and reported data exists in healthy young children is unclear. We studied whether parental reported body weight and height of 4-year-old children corresponded with measured body weight and height. In addition, we studied the determinants and the consequences of differences between reported and measured data. METHODS: Data on body weight and height of 864 4-year-old Dutch children born in 1996/1997 enrolled in the Prevention and Incidence of Asthma and Mite Allergy (PIAMA) birth cohort study were collected via a questionnaire and a medical examination. Overweight was defined according to standard international age and gender specific definitions. RESULTS: Mean differences between measured and reported body weight, height, and body mass index (BMI) were small. Parents of children with a low BMI tended to over report body weight while parents of children with a high BMI tended to underreport body weight. Whereas 9.5% of the children were overweight according to reported BMI, the prevalence of overweight was 13.4% based on measured BMI. Over 45% of the overweight children according to measured BMI were missed when reported BMI was used. CONCLUSION: These findings suggest that overweight prevalence rates in children are underestimated when based on reported weight and height.     

A 6-month observational study of the relationship between weight loss and behavioral symptoms in institutionalized Alzheimer's disease subjects

OBJECTIVE: Weight loss is a common occurrence in Alzheimer's disease (AD). This study was undertaken to investigate the relationship between weight loss and behavioral symptoms in institutionalized AD subjects. DESIGN: Observational study. SETTING: Two facilities that included assisted living and nursing care. PARTICIPANTS: Residents with probable or possible AD (n = 32). MEASUREMENTS: Weight was measured monthly. At baseline, month 3, and month 6, a knowledgeable staff member provided information that included the Neuropsychiatric Inventory: Nursing Home Version (NPI-NH, ie, a measure of behavioral symptoms) and a questionnaire regarding eating habits, food intake, and appetite. Two-day calorie counts were done and accelerometers were worn to monitor physical activity. RESULTS: At baseline, the mean body mass index (BMI) was 24.0 (standard deviation, 3.5) with 12 subjects exhibiting a BMI <22. BMI was negatively associated with the baseline NPI-NH total score (Spearman Correlation Coefficient -0.52, P <0.01), which indicates that subjects with low BMIs were more likely to have higher frequency and severity of behavioral problems. Individual behavior scores for agitation/aggression (-0.40, P <0.05), depression (-0.31, P = 0.08), irritability/lability (-0.47, P <0.01), aberrant motor behavior (ie, pacing, -0.42, P <0.05), nighttime behavior (-0.37, P = 0.05), and appetite/eating (-0.48, P <0.01) at baseline were negatively correlated with baseline BMI. Behaviors not correlated with BMI were delusions, hallucinations, elation, apathy, and disinhibition. Although this was a small sample followed for a relatively short time period, change in specific NPI-NH scores from baseline to month 6 were correlated with the change in weight over the 6-month period. Both agitation/aggression (-0.37, P = 0.05) and disinhibition (-0.45, P <0.05) showed negative correlation with weight change, which indicates an association between changes in these behaviors and weight loss. There were no significant differences between those who lost weight (n = 13) and those who did not (n = 19) on baseline variables, which included age, comorbidity, functional status, and NPI-NH. However, those who lost weight had a significantly higher BMI at baseline than those who gained weight. CONCLUSIONS: These preliminary results suggest that behavioral disturbances play a role in low body weight and weight loss in AD subjects.     

Weight change in adolescents who used hormonal contraception

Purpose: (a) To compare weight change at 1 year between adolescents 13–19 years old who were using either depot medroxyprogesterone acetate (DMPA) or oral contraceptives (OC), and (b) to determine if age, baseline body mass index (BMI), race/ethnicity, or weight gain at 3 months predicted which subjects would gain excessive weight.

Method: The setting was a Planned Parenthood Teen Clinic with chart review of variables of interest. Excessive weight was defined as weight gain > 10%.

Results: Baseline variables were similar in the two groups, except that DMPA users (n = 44) had a greater mean BMI (t test, p = .05) than OC users (n = 86). Mean (standard deviation) and median weight gains at 1 year were 3.0 (4.5) and 2.4 kg in the DMPA users and 1.3 (3.9) and 1.5 kg in the OC users (difference in medians not significant, Wilcoxon rank sum test, p = .10). Fifty-six percent of DMPA and 70% of OC users lost weight or gained < 5% of their baseline weight (p = .17, Fisher exact test); 25% of DMPA users and 7% of OC users gained > 10% of their baseline weight (p = .006). Age, baseline BMI, or race/ethnicity did not affect the likelihood that either group would gain > 5% or > 10% of their baseline weight. Of adolescents who gained > 5% of baseline weight at 3 months, 13 of 14 (93%) gained even more weight at 12 months.

Conclusions: The majority of adolescents who used hormonal contraception for 1 year lost weight or gained < 5% of baseline weight. DMPA users were more likely than OC users to gain > 10%. Subjects who gained > 5% of baseline weight at 3 months were at high risk (93%) of gaining even more weight by 1 year.     

Self-reported and measured weights and heights of participants in community-based weight loss programs.

Self-reported weights and heights of 82 adults were compared with measured weights and heights 1 to 3 years after participation in community weight loss programs. The mean self-reported weight was 2.3 +/- 1.9 kg lower than measured weight (P < .05). Differences in underreporting were not significant for gender or age group. Heavier individuals misreported their weight to a greater extent (P < .05) than lighter persons, and individuals who had not recently weighed themselves underreported their weight to a greater extent than those who had weighed recently (P < .05). On the average, height was overreported by a mean of 1.8 +/- 2.7 cm. Overreporting increased with increasing height, and men overestimated their height to a greater extent than women (P < .05). Younger subjects reported their height more accurately than those older than 60 years. Results of our study are similar to those of previous investigations that examined self-reporting bias in subjects enrolled in weight loss programs. The mean discrepancy in body weight, however, was greater than that reported in samples drawn from the general population. Our findings indicate that self-reported weight and height values in overweight populations should be interpreted with caution.