http://precedings.nature.com/tags/Body%20Mass%20Index Recently posted documents tagged with 'Body Mass Index' Nature Publishing Group en Nature Precedings http://precedings.nature.com/images/header_logo.gif http://precedings.nature.com http://precedings.nature.com/documents/2758/version/4 Objective: To investigate the best statistical models that describe the effect of physical activity on BMI.Design: Cross-sectional analyses of physical activity and BMI data. Subjects: 107 obese, overweight, and healthy college students (mean duration of physical activity for the normal, overweight, and obese students: 89, 59, and 24 months, respectively; mean BMI for the normal, overweight, and obese students: 21.61, 27.07, and 35.54 kg/m2, respectively).Measurements: Inverse linear, inverse logarithmic, and inverse logistics models were used to analyze survey data for physical activity (measured by both frequency and duration of exercise) and BMI. Gender, age, and physical intensity variables were also statistically controlled. Results: Coefficients of determination, r-squared, showed the inverse logarithmic model is more accurate in describing the effect of physical activity on BMI than is the inverse linear model. The inverse logistic method also showed physical activity affects BMI. Conclusions: Although the inverse logarithmic method can be used in some cases, the inverse logistic model seems to be theoretically and empirically best suited in describing the relationship between physical activity and body weight. http://precedings.nature.com/documents/2758/version/4 Wed, 01 Apr 2009 09:04:55 UTC The Relationship between Physical Activity and Body Mass Index: Issues in Model Specification hdl:10101/npre.2009.2758.4 2009-04-01 Gizachew Tiruneh Nature Precedings 2009-04-01T09:04:55Z Manuscript Developmental Biology http://creativecommons.org/licenses/by/3.0/ http://precedings.nature.com/documents/2902/version/1 OBJECTIVE: To examine tracking patterns of body mass index (BMI), triceps skinfold thickness (TSF), height and weight from childhood to young adulthood in a rapidly developing society.DESIGN: Prospective 12-year cohort study of the Slovenian children, born during 1990-1991.SUBJECTS: A subsample of 4 833 Slovenian children from the 1990-1991 national cohort (n = 21 777) who were included in the SLOFIT monitoring system from 1997 to 2008, with complete data at age 7 and 18 y.MEASUREMENTS: Height, weight and TSF were measured at ages 7, 11, 14 and 18 y. The IOTF BMI cutoff points were used to identify overweight and obesity. RESULTS: Height, weight, and BMI at age 18 y were well predicted from childhood and grew more predictable with age, while TSF was not. Obese and overweight children had the greatest risk of becoming overweight or obese young adults, since tracking of overweight and obesity showed that 53.9% of overweight and 77.7% of obese 7-y old males remained overweight or obese at age 18 y in comparison with 32.1% of overweight and 62% of obese 7-y old females. History of obese 18-y olds showed that 40% of males and 48.6% of females had been obese already at age 7 y. CONCLUSION: The study confirmed the tracking of BMI from childhood to young adulthood. Overweight or obese Slovenian children are very likely to become overweight or obese adolescents and young adults, which calls for the need of early prevention and treatment of overweight and obesity. http://precedings.nature.com/documents/2902/version/1 Tue, 24 Feb 2009 11:00:09 UTC Tracking patterns of body mass index and triceps skinfold thickness from childhood to young adulthood: a 12-year prospective cohort study in Slovenia hdl:10101/npre.2009.2902.1 2009-02-24 Gregor Starc Nature Precedings 2009-02-24T11:00:09Z Manuscript Developmental Biology http://creativecommons.org/licenses/by/3.0/ http://dx.doi.org/10.1038/npre.2009.2758.3 Objective: To investigate the best statistical models that describe the effect of physical activity on BMI.Design: Cross-sectional analyses of physical activity and BMI data.Subjects: 107 obese, overweight, and healthy college students (mean duration of physical activity for the normal, overweight, and obese students: 89, 59, and 24 months, respectively; mean BMI for the normal, overweight, and obese students: 21.61, 27.07, and 35.54 kg/m2, respectively).Measurements: Inverse linear, inverse logarithmic, and inverse logistics models were used to analyze survey data for physical activity (measured by both frequency and duration of exercise) and BMI. Gender, age, and physical intensity variables were also statistically controlled. Results: Coefficients of determination, r-squared, showed the inverse logarithmic model is more accurate in describing the effect of physical activity on BMI than is the inverse linear model. The inverse logistic method also showed physical activity affects BMI. Conclusions: Although the inverse logarithmic method can be used in some cases, the inverse logistic model seems to be theoretically and empirically best suited in describing the relationship between physical activity and body weight. http://dx.doi.org/10.1038/npre.2009.2758.3 Wed, 21 Jan 2009 20:21:03 UTC The Relationship between Physical Activity and Body Mass Index: Issues in Model Specification doi:10.1038/npre.2009.2758.3 2009-01-21 Gizachew Tiruneh Nature Precedings 2009-01-21T20:21:03Z Manuscript Developmental Biology http://creativecommons.org/licenses/by/3.0/ http://dx.doi.org/10.1038/npre.2009.2758.2 Objective: To investigate the best statistical models that describe the effect of physical activity on BMI.Design: Cross-sectional analyses of physical activity and BMI data.Subjects: 107 obese, overweight, and healthy college students (mean duration of physical activity for the normal, overweight, and obese students: 89, 59, and 24 months, respectively; mean BMI for the normal, overweight, and obese students: 21.61, 27.07, and 35.54 kg/m2, respectively).Measurements: Inverse linear, inverse logarithmic, and inverse logistics models were used to analyze survey data for physical activity (measured by both frequency and duration of exercise) and BMI. Gender, age, and physical intensity variables were also statistically controlled. Results: Coefficients of determination, r-squared, showed the inverse logarithmic model is more accurate in describing the effect of physical activity on BMI than is the inverse linear model. The inverse logistic method also showed physical activity affects BMI. Conclusions: Although the inverse logarithmic method can be used in some cases, the inverse logistic model seems to be theoretically and empirically best suited in describing the relationship between physical activity and body weight. http://dx.doi.org/10.1038/npre.2009.2758.2 Thu, 08 Jan 2009 10:54:31 UTC The Relationship between Physical Activity and Body Mass Index: Issues in Model Specification doi:10.1038/npre.2009.2758.2 2009-01-08 Gizachew Tiruneh Nature Precedings 2009-01-08T10:54:31Z Manuscript Developmental Biology http://creativecommons.org/licenses/by/3.0/ http://precedings.nature.com/documents/2758/version/1 Objective: To investigate the best statistical models that describe the effect of physical activity on BMI.Design: Cross-sectional analyses of physical activity and BMI data.Subjects: 107 obese, overweight, and healthy college students (mean duration of physical activity for the normal, overweight, and obese students: 89, 59, and 24 months, respectively; mean BMI for the normal, overweight, and obese students: 21.61, 27.07, and 35.54 kg/m2, respectively).Measurements: Inverse linear, inverse logarithmic, and inverse logistics models were used to analyze survey data for physical activity (measured by both frequency and duration of exercise) and BMI. Gender, age, and physical intensity variables were also statistically controlled. Results: Coefficients of determination, r-squared, showed the inverse logarithmic model is more accurate in describing the effect of physical activity on BMI than is the inverse linear model. The inverse logistic method also showed physical activity affects BMI. Conclusions: Although the inverse logarithmic method can be used in some cases, the inverse logistic model seems to be theoretically and empirically best suited in describing the relationship between physical activity and body weight. http://precedings.nature.com/documents/2758/version/1 Mon, 05 Jan 2009 20:35:56 UTC The Relationship between Physical Activity and Body Mass Index: Issues in Model Specification hdl:10101/npre.2009.2758.1 2009-01-05 Gizachew Tiruneh Nature Precedings 2009-01-05T20:35:56Z Manuscript Developmental Biology http://creativecommons.org/licenses/by/3.0/ http://dx.doi.org/10.1038/npre.2008.2708.1 Money is a recent phenomenon in the evolutionary history of man and therefore no separate brain centre to handle money is likely to have evolved. The brain areas activated by food reward and money reward are extensively overlapping. In an experimental set-up, hunger was demonstrated to influence money related decisions and money related thoughts to influence hunger. This suggests that the brain areas evolved for handling food related emotions are exapted to handle money and therefore there could be a neuronal cross-talk between food and money. If this is true then attitude and behavior related to money and wealth could influence obesity. We conducted a survey of 211 individuals working as full time cashiers in order to test whether ownership over the cash, the amount of cash handled per day and the duration of cash handling work affected their body mass index (BMI). Cashiers who had ownership over the money had a significantly higher age corrected mean BMI than salaried cashiers. The BMI correlated positively with duration of service as cashier even after correcting for age and duration of sedentary job in males. Among salaried cashiers of both sexes, bank cashiers whose mean daily cash handling was one or two orders of magnitude greater than that of shop cashiers, had a significantly higher BMI. The effects of amount of money handled per day, years of service as cashier and ownership over the money handled could be shown to influence BMI independent of each other. The results support the exaptation hypothesis and suggest that the changing economy and attitudes towards money may be a contributing factor to the current obesity epidemic. http://dx.doi.org/10.1038/npre.2008.2708.1 Mon, 22 Dec 2008 11:55:13 UTC Money handling influences BMI: a survey of cashiers doi:10.1038/npre.2008.2708.1 2008-12-22 Milind Watve Nature Precedings 2008-12-22T11:55:13Z Poster Developmental Biology Ecology Neuroscience http://creativecommons.org/licenses/by/3.0/ http://precedings.nature.com/documents/2583/version/1 Objectives: This study investigates the longitudinal association between 5-year weight change and quality of life (QoL) in Dutch men and women.Design: A prospective cohort study (1998, 2000, 2003) in a population based sample. Subjects: 2,414 men and women from the Maastricht region of the Netherlands.Measurements: QoL outcomes were measured by the RAND-36 (eight subscales and two overall composite scores, physical and mental health (PCS and MCS)). Weight was measured on a scale. Weight change was calculated as change in weight between 1998 and 2003. In addition, 5-year weight change was also categorized in three groups: weight losers, weight maintainers, and weight gainers. All analyses were stratified for gender.Results: A total of 598 men (50%) and 646 women (54%) maintained their weight, 177 men (15%) and 163 women (14%) lost more than 2.5 kg, and 410 men (35%) and 379 women (32%) gained more than 2.5 kg. Associations between 5-year weight change and QoL were found for MCS (β = 0.13, 95% CI: 0.02|0.24) in women, and PCS (β = -0.09, 95% CI: -0.17|-0.00; β = -0.10, 95% CI: -0.19|-0.01) in men and women respectively. Moreover, associations between weight change and QoL were most pronounced for women of normal weight and obese men. Furthermore, in both genders, weight gainers showed a greater reduction on all physical components of QoL compared with weight maintainers. However, after 5-years weight gainers and weight losers did not significantly differ from weight maintainers in the mean change of MCS and PCS.Conclusion: Weight gain was inversely associated with the physical domains of QoL in women and obese men. Conversely, in women, weight gain was positively associated with the mental domains of QoL. No differences between weight losers and weight gainers were found in mean change of QoL compared with weight maintainers. http://precedings.nature.com/documents/2583/version/1 Tue, 02 Dec 2008 17:45:03 UTC Weight change and quality of life in a community-based population hdl:10101/npre.2008.2583.1 2008-12-02 Saskia P. J. Verkleij Nature Precedings 2008-12-02T17:45:03Z Manuscript Neuroscience http://creativecommons.org/licenses/by/3.0/ http://precedings.nature.com/documents/1829/version/1 Objective: The aim of this study was to determine the gender differential in the relationship of body mass index (BMI) and abdominal obesity with blood pressure (BP) and prevalence of hypertension (HTN) and prehypertension (Pre-HTN) among the adult population of Iran.Design: A nationwide cross-sectional survey was conducted from December 2004 to February 2005. The selection was conducted by stratified probability cluster sampling through household family members in Iran.Subjects and Measurements: Weight, height, waist circumference (WC), and systolic and diastolic BP of 45,082 men and 44,322 women aged 15-65 (mean 39.2) were measured. Results: The prevalence of HTN was 25.2% in men and 24.8% in women; and 50.1% of men and 39.1% of women were pre-hypertensive. WC and BMI were strongly associated with BP in both genders. Multivariate analysis revealed that both WC and BMI had the stronger association with HTN and Pre-HTN in men than women. Compared to men and women with normal weight, the multivariate-adjusted odds ratio (OR) (95% confidence interval) of HTN was 5.75 (5.13, 6.44) for men and 4.29 (3.95, 4.66) for women with BMI ≥ 30. The multivariate OR of prevalence HTN in men with abdominal obesity compared with men without was 3.76 (3.41, 4.22) and in women, 2.92 (2.73, 3.13).Conclusion: These data indicate that both BMI and WC had the stronger association with HTN and Pre-HTN in men than women. http://precedings.nature.com/documents/1829/version/1 Thu, 24 Apr 2008 21:41:01 UTC Gender Differential in the Association of Body Mass Index and Abdominal Obesity with Prehypertension and Hypertension in Iranian Adults hdl:10101/npre.2008.1829.1 2008-04-24 Mohsen Janghorbani Nature Precedings 2008-04-24T21:41:01Z Manuscript Ecology http://creativecommons.org/licenses/by/3.0/