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Self-reported Height (self-reported + height)
Selected AbstractsAccuracy of self-reported weight and height: Relationship with eating psychopathology among young womenINTERNATIONAL JOURNAL OF EATING DISORDERS, Issue 4 2009Caroline Meyer PhD Abstract Objective: Self-reported height and weight data are commonly reported within eating disorders research. The aims of this study are to demonstrate the accuracy of self-reported height and weight and to determine whether that accuracy is associated with levels of eating psychopathology among a group of young nonclinical women. Method: One hundred and four women were asked to report their own height and weight. They then completed the Eating Disorders Examination-Questionnaire. Finally, they were weighed and their height was measured in a standardized manner. Accuracy scores for height and weight were calculated by subtracting their actual weight and height from their self-reports. Results: Overall, the women overestimated their heights and underestimated their weights, leading to significant errors in body mass index where self-report is used. Those women with high eating concerns were likely to overestimate their weight, whereas those with high weight concerns were more likely to underestimate it. Discussion: These data show that self-reports of height and weight are inaccurate in a way that skews any research that depends on them. The errors are influenced by eating psychopathology. These findings highlight the importance of obtaining objective height and weight data, particularly when comparing those data with those of patients with eating disorders. © 2008 by Wiley Periodicals, Inc. Int J Eat Disord 2009 [source] The rising prevalence of comorbid obesity and eating disorder behaviors from 1995 to 2005INTERNATIONAL JOURNAL OF EATING DISORDERS, Issue 2 2009Anita Darby BSc (Nutrition & Dietetics) Abstract Objective: To measure the cooccurrence of obesity and eating disorder (ED) behaviors in the South Australian population and assess the change in level from 1995 to 2005. Method: Two independent cross-sectional single stage interview based population surveys were conducted a decade apart. Self-reported height, weight, ED behaviors, and sociodemographics were assessed. Changes between the two time points were analyzed. Results: From 1995 to 2005 the population prevalence of comorbid obesity and ED behaviors increased from 1 to 3.5%. Comorbid obesity and ED behaviors increased more (prevalence odds ratio (POR) = 4.5; 95% confidence interval (CI) = 95% CI = [2.8, 7.4]; p < .001) than either obesity (POR = 1.6; 95% CI = [1.3, 2.0]; p < .001) or ED behaviors (POR = 3.1; 95% CI = [2.3, 4.1]; p < .001) alone. Discussion: Comorbid obesity and ED behaviors are an increasing problem in our society. Prevention and treatments efforts for obesity and EDs must consider and address this increasing comorbidity. © 2008 by Wiley Periodicals, Inc. Int J Eat Disord 2009 [source] Obesity and Physical Inactivity in Rural AmericaTHE JOURNAL OF RURAL HEALTH, Issue 2 2004Paul Daniel Patterson MPH ABSTRACT: Context and Purpose: Obesity and physical inactivity are common in the United States, but few studies examine this issue within rural populations. The present study uses nationally representative data to study obesity and physical inactivity in rural populations. Methods: Data came from the 1998 National Health Interview Survey Sample Adult and Adult Prevention Module. Self-reported height and weight were used to calculate body mass index. Physical inactivity was defined using self-reported leisure-time physical activity. Analyses included descriptive statistics, x2 tests, and logistic regression. Findings: Obesity was more common among rural (20.4%, 95% CI 19.2%,21.6%) than urban adults (17.8%, 95% CI 17.2%,18.4%). Rural residents of every racial/ethnic group were at higher risk of obesity than urban whites, other factors held equal. Other predictors of obesity included being male, age 25,74, lacking a high school diploma, having physical limitations, fair to poor health, and a history of smoking. Proportionately more rural adults were physically inactive than their urban peers (62.8% versus 59.3%). Among rural residents, minorities were not significantly more likely to be inactive than whites. Males and younger adults were less likely to be inactive. Rural adults who were from the Midwest and South, had less than a high school education, had fair to poor health, and currently smoked were more likely to be inactive compared to their respective referent group. Conclusions: The high prevalence of obesity and inactive lifestyles among rural populations call for research into effective rural interventions. [source] Depression and obesity: do shared genes explain the relationship?DEPRESSION AND ANXIETY, Issue 9 2010Niloofar Afari Ph.D. Abstract Background: Studies have found a modest association between depression and obesity, especially in women. Given the substantial genetic contribution to both depression and obesity, we sought to determine whether shared genetic influences are responsible for the association between these two conditions. Methods: Data were obtained from 712 monozygotic and 281 dizygotic female twin pairs who are members of the community-based University of Washington Twin Registry. The presence of depression was determined by self-report of doctor-diagnosed depression. Obesity was defined as body mass index of ,30,kg/m2, based on self-reported height and weight. Generalized estimating regression models were used to assess the age-adjusted association between depression and obesity. Univariate and bivariate structural equation models estimated the components of variance attributable to genetic and environmental influences. Results: We found a modest phenotypic association between depression and obesity (odds ratio=1.6, 95% confidence interval=1.2,2.1). Additive genetic effects contributed substantially to depression (57%) and obesity (81%). The best-fitting bivariate model indicated that 12% of the genetic component of depression is shared with obesity. Conclusions: The association between depression and obesity in women may be in part due to shared genetic risk for both conditions. Future studies should examine the genetic, environmental, social, and cultural mechanisms underlying the relationship between this association. Depression and Anxiety, 2010. © 2010 Wiley-Liss, Inc. [source] Accuracy of self-reported weight and height: Relationship with eating psychopathology among young womenINTERNATIONAL JOURNAL OF EATING DISORDERS, Issue 4 2009Caroline Meyer PhD Abstract Objective: Self-reported height and weight data are commonly reported within eating disorders research. The aims of this study are to demonstrate the accuracy of self-reported height and weight and to determine whether that accuracy is associated with levels of eating psychopathology among a group of young nonclinical women. Method: One hundred and four women were asked to report their own height and weight. They then completed the Eating Disorders Examination-Questionnaire. Finally, they were weighed and their height was measured in a standardized manner. Accuracy scores for height and weight were calculated by subtracting their actual weight and height from their self-reports. Results: Overall, the women overestimated their heights and underestimated their weights, leading to significant errors in body mass index where self-report is used. Those women with high eating concerns were likely to overestimate their weight, whereas those with high weight concerns were more likely to underestimate it. Discussion: These data show that self-reports of height and weight are inaccurate in a way that skews any research that depends on them. The errors are influenced by eating psychopathology. These findings highlight the importance of obtaining objective height and weight data, particularly when comparing those data with those of patients with eating disorders. © 2008 by Wiley Periodicals, Inc. Int J Eat Disord 2009 [source] Obesity as a Confounding Health Factor Among Women With Mobility ImpairmentJOURNAL OF THE AMERICAN ACADEMY OF NURSE PRACTITIONERS, Issue 10 2003FAAN, Nancy C. Sharts-Hopko PhD Purpose To examine the relationships between self-reported height and weight and factors associated with disabilities that impair mobility among adult women. Data Sources Survey data were gathered from a convenience sample of 83 women with disabilities at community events targeting the disabled population. Height, weight, and factors associated with their disabilities were reported on a demographic questionnaire. Body mass index (BMI) was estimated using a conversion table and the self-reported height and weight of each participant. Conclusions The average self-reported weight was 168.3 lb. Only 38% of the women fell into the normal range on estimated BMI, but 62% of the women fell into the categories of overweight or obese. The incidence of overweight and obesity exceeded that reported for the general population of women in a national sample X2= 6.48, p= 03, 2 df). Self-reported weight was positively correlated with the number of comorbidities reported by the women (r= .419, p < .0001). Implications The issue of obesity is an important problem facing women with disabilities. Women who have mobility limitations need to be weighed periodically, and strategies should be devised for weight management, including both dietary plans and appropriate exercise regimens given their limitations. [source] | ||||||||||