Adiposity as Compared With Physical Activity in Predicting Mortality Among Women

Hu, Frank B.; Willett, Walter C.; Li, Tricia; Stampfer, Meir J.; Colditz, Graham A.; Manson, JoAnn E.

doi:10.1097/01.ogx.0000160575.50215.93

Cited by 245 publications

(313 citation statements)

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“…All data were obtained by self-report at baseline, which might result in distorted inter-relationships between physical activity, BMI, WHR, waist circumference and total mortality, because obese people commonly overestimate their physical activity [15] and underestimate self-measured WHR [55]. Overestimation of height and underestimation of weight might also result in misclassification of BMI, although such errors tend to be small [56,57].…”

Section: Discussionmentioning

confidence: 99%

“…Epidemiological studies have shown an inconsistent relationship between body mass index (BMI) and mortality risk, with associations being J-or U-shaped [4][5][6][7][8][9][10][11][12], direct linear [13][14][15][16] or absent [17,18]. This could be due to the inadequate control for smoking status and pre-existing chronic diseases, both of which are associated with a low BMI and an increased risk of death [19].…”

Section: Introductionmentioning

confidence: 99%

“…It has been proposed that physical activity could counteract the risk of obesity. Physical activity has been shown to weaken, but not eliminate the heightened risk associated with excess weight [15,34,35]. However, many studies to date measure only one component of total activity, such as leisure time or occupational physical activity, which may not be a true representation of actual total physical activity.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Effects of physical activity, body mass index, waist-to-hip ratio and waist circumference on total mortality risk in the Swedish National March Cohort

Bellocco

Jia

et al. 2010

Eur J Epidemiol

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Effects of physical activity, body mass index, waist-to-hip ratio and waist circumference on total mortality risk in the Swedish National March Cohort

Bellocco

Jia

et al. 2010

Eur J Epidemiol

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“…The risks associated with non-GC-related obesity in pediatric patients (3,4) include metabolic syndrome (5), increased arterial stiffness (6), advanced vascular age (7), increased left atrial size (8), increased risk of coronary artery disease (9,10), and type 2 diabetes mellitus (11). Adolescent obesity frequently tracks into adulthood (12), and there are known obesity-associated health risks at all ages (13)(14)(15)(16). Conversely, obese children who reduce weight can lower the associated health risks (17).…”

Section: Introductionmentioning

confidence: 99%

Glucocorticoid‐related changes in body mass index among children and adolescents with rheumatic diseases

Shiff

Brant

Guzman

et al. 2012

Arthritis Care & Research

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Objective. To examine the temporal and dose-related effects of glucocorticoids (GCs) on body mass index (BMI) in children with rheumatic diseases.Methods. Children initiating GCs for a rheumatic disease (n ‫؍‬ 130) were assessed every 3 months for 18 months. BMI, weight, and height Z score trajectories were described according to GC starting dosage in prednisone equivalents: high (>1.0 mg/kg/day), low (<0.2 mg/kg/day to a maximum of 7.5 mg/day), and moderate (between high and low) dosage. The impact of GC dosing, underlying diagnosis, pubertal status, physical activity, and disease activity on BMI Z scores and on percent body fat was assessed with longitudinal mixed-effects growth curve models. Results. The GC starting dose was high in 59% and moderate in 39% of patients. The peak BMI Z score was ؉1.29 at 4 months with high-dose GCs and ؉0.69 at 4.2 months with moderate-dose GCs (P < 0.001). Overall, 50% (95% confidence interval 41-59%) of the children returned to within ؉0.25 SD of their baseline BMI Z score. Oral GC dose over the preceding 3 months was the most significant determinant of BMI Z score and percent body fat. The proportion of days in receipt of GCs, disease activity, and a diagnosis of systemic-onset juvenile idiopathic arthritis were also associated with BMI Z scores. The correlation between changes in BMI and changes in percent body fat was 0.09. Conclusion. In children with rheumatic diseases starting moderate and high doses of GCs, BMI Z scores peaked at 4 months, and only half returned to within ؉0.25 SD of their baseline BMI Z score after 18 months.

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“…Excess body weight is a risk factor for the development of major chronic diseases, including some cancers, 38 and mortality. 39,40 Some evidence indicates that leanness may be associated with an increase in mortality. 39 Here we present the cross-sectional relationship of BMI, waist circumference and waist-hip ratio (WHR) with serum levels of IGF-I and IGFBP-3 in a large sample of 2139 freeliving women from eight European countries.…”

Section: Introductionmentioning

confidence: 99%

Body mass index, waist circumference and waist–hip ratio and serum levels of IGF-I and IGFBP-3 in European women

et al. 2006

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Objective: To examine the relationship between body mass index (BMI) and waist-hip ratio (WHR) with serum levels of insulinlike growth factor-I (IGF-I), and its binding protein (IGFBP)-3. Design: Cross-sectional study on 2139 women participating in a case-control study on breast cancer and endogenous hormones. Data on lifestyle and reproductive factors were collected by means of questionnaires. Body height, weight, waist and hip circumferences were measured. Serum levels of IGF-I and insulin-like binding protein (IGFBP)-3 were measured by enzymelinked immunosorbent assays. Adjusted mean levels of IGF-I and IGFBP-3 across quintiles of BMI, waist circumference, and WHR were calculated by linear regression. Results were adjusted for potential confounders associated with IGF-I and IGFBP-3. Results: Adjusted mean serum IGF-I values were lower in women with BMIo22.5 kg/m 2 or BMI429.2 kg/m 2 compared to women with BMI within this range (P heterogeneity o0.0001, P trend ¼ 0.35). Insulin-like growth factor-I was not related to WHR after adjustment for BMI. IGF-binding protein-3 was linearly positively related to waist and WHR after mutual adjustment. The molar ratio IGF-I/IGFBP-3 had a non-linear relation with BMI and a linear inverse relationship with WHR (P trend ¼ 0.005). Conclusions: Our data confirm the nonlinear relationship of circulating IGF-I to total adiposity in women. Serum IGFBP-3 was positively related to central adiposity. These suggest that bioavailable IGF-I levels could be lower in obese compared to nonobese women and inversely related to central adiposity.

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Adiposity as Compared With Physical Activity in Predicting Mortality Among Women

Cited by 245 publications

References 0 publications

Effects of physical activity, body mass index, waist-to-hip ratio and waist circumference on total mortality risk in the Swedish National March Cohort

Effects of physical activity, body mass index, waist-to-hip ratio and waist circumference on total mortality risk in the Swedish National March Cohort

Glucocorticoid‐related changes in body mass index among children and adolescents with rheumatic diseases

Body mass index, waist circumference and waist–hip ratio and serum levels of IGF-I and IGFBP-3 in European women

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