Effect of body mass index and physical exercise on risk of knee and hip osteoarthritis: longitudinal data from the Norwegian HUNT Study

2012 ◽  
Vol 66 (8) ◽  
pp. 678-683 ◽  
Author(s):  
Paul Jarle Mork ◽  
Andreas Holtermann ◽  
Tom Ivar Lund Nilsen
Keyword(s):  
Body Mass Index ◽  
Physical Exercise ◽  
Longitudinal Data ◽  
Body Mass ◽  
Hip Osteoarthritis ◽  
Hunt Study

Change in height, weight and body mass index: Longitudinal data from the HUNT Study in Norway

2006 ◽  
Vol 30 (6) ◽  
pp. 935-939 ◽  
Author(s):  
W B Drøyvold ◽  
T I L Nilsen ◽  
Ø Krüger ◽  
T L Holmen ◽  
S Krokstad ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Longitudinal Data ◽  
Body Mass ◽  
Hunt Study

Physical exercise and body mass index as correlates of major depressive disorder in community-dwelling adults: Results from the PISMA-ep study

2019 ◽  
Vol 251 ◽  
pp. 263-269 ◽  
Author(s):  
Alejandro Porras-Segovia ◽  
Margarita Rivera ◽  
Esther Molina ◽  
David López-Chaves ◽  
Blanca Gutiérrez ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Major Depressive Disorder ◽  
Physical Exercise ◽  
Depressive Disorder ◽  
Body Mass ◽  
Community Dwelling ◽  
Major Depressive

scholarly journals Genome-wide Genetic Contribution to Diet Response in an Epidemiological Dataset (P15-018-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Kenneth Westerman ◽  
Jose M Ordovas
Keyword(s):  
Body Mass Index ◽  
Longitudinal Data ◽  
Body Mass ◽  
White Women ◽  
Dietary Intervention ◽  
Statistical Significance ◽  
Cross Sectional ◽  
Statistical Correlations ◽  
Mathematical Correlation ◽  
Genome Wide

Abstract Objectives Many gene-diet interactions have been uncovered for obesity and other cardiometabolic risk factors, but truly personalized nutritional recommendations will require the incorporation of an individual's full genome in predicting response to diet. Statistical genetics studies typically require thousands of individuals, limiting the ability of dietary intervention trials to answer these genome-wide nutrigenetic questions. We sought to explore a novel approach for identifying the genetic architecture of the diet-body mass index (BMI) relationship using an epidemiological dataset. Methods As a mathematical correlation is defined as the expected product of two standardized variables, it may be possible to estimate the genetic signal describing an underlying diet-BMI correlation by predicting their product. Statistical simulations were performed to assess the ability of this method to pick up pre-specified effects of genotype on diet response. In white women from the longitudinal Women's Health Initiative (WHI) dataset, the product of log-transformed fat-to-carbohydrate ratio (F: C) and body mass index (BMI) (both variables standardized) was calculated both cross-sectionally at baseline (n = 9357) and with respect to longitudinal changes in these variables before follow-up (n = 1333). Plink and GCTA tools were used to estimate the genotype-based heritability of these products, as well as that of the change in BMI in response to a separate intervention in WHI focused partially on fat reduction. Results Simulations demonstrated that the method is sensitive to changes in the underlying effect sizes, but is able to detect underlying statistical correlations as intended. Genetic heritability estimates using cross-sectional data were negligible, while those using longitudinal data approached statistical significance (variance explained = 14%, P = 0.07). BMI changes in the dietary modification trial showed non-significant heritability (v.e. = 4%), which was insufficient to validate any genetic correlation with the longitudinal results. Conclusions While cross-sectional data may contain too much noise, this method shows promise for the detection of genome-wide contributions to diet response in longitudinal data, and should be investigated further in larger datasets and with alternative phenotypes. Funding Sources This study was supported by the NHLBI T32 training grant.

scholarly journals Physical exercise and body-mass index in young adults: a national survey of Norwegian university students

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Michael Grasdalsmoen ◽  
Hege Randi Eriksen ◽  
Kari Jussie Lønning ◽  
Børge Sivertsen
Keyword(s):  
Body Mass Index ◽  
Young Adults ◽  
Physical Exercise ◽  
University Students ◽  
Body Mass ◽  
Age Groups ◽  
Female Students ◽  
Average Intensity ◽  
Exercise Frequency ◽  
College And University

Abstract Background Physical inactivity and obesity pose a major public health challenge. The aim of this study was to describe the level of physical exercise and body-mass index in college and university students, as well as to examine potential changes from 2010 to 2018. Methods Data stem from the SHoT study, a national student health survey for higher education in Norway, conducted at 4-year intervals. The SHOT studies conducted so far in 2010, 2014 and 2018, included 6053, 13,525 and 50,054 fulltime students (aged 18–35), respectively. Exercise frequency (average number of times exercising each week) was assessed in all three waves, and was used for the trend analysis. The last wave in 2018 also assessed the average intensity and duration of the exercise. Results Overall, students exercised less in 2018 compared to 2014, but comparable to level in 2010. The prevalence of overweight increased substantially from 2010 to 2018, but especially in the last 4 years and among older female students. Less than one of four male, and one of five female students, met the recommended criteria for both exercise frequency, intensity and duration. As expected, the associations between exercise and overweight/obesity were in a dose-response manner, and strong across all three waves. Conclusions Our findings show that the large majority of young adults fail to meet international recommendations on exercise, and that the proportion of overweight is increasing in both genders and across all age groups. We conclude that there is an urgent need for a broad approach to achieve a paradigm shift in supporting our college and university students to become more active.

scholarly journals The Efficacy of Continuous Versus Intermittent Celecoxib Treatment in Osteoarthritis Patients with Body Mass Index ≥30 and <30 kg/m2

2013 ◽  
Vol 7 (1) ◽  
pp. 32-37 ◽  
Author(s):  
George H Sands ◽  
Pritha Bhadra Brown ◽  
Margaret Noyes Essex
Keyword(s):  
Body Mass Index ◽  
Treatment Group ◽  
Body Mass ◽  
Hip Osteoarthritis ◽  
International Study ◽  
Continuous Treatment ◽  
Intermittent Treatment ◽  
Double Blind ◽  
Parallel Group ◽  
To Receive

Objective: Characterize the effect of body mass index (BMI) on the efficacy of continuous daily celecoxib treatment compared with intermittent celecoxib treatment. Methods: Prespecified exploratory analysis of a 24-week, double-blind, parallel-group, randomized, multicenter international study. 858 patients with knee or hip osteoarthritis (OA) were randomized to receive celecoxib 200 mg daily either as continuous or intermittent treatment. Efficacy was measured by Western Ontario and McMaster Universities Arthritis Index (WOMAC) total and subscale scores and the number of flare events. Results: Least squares mean increases (worsening) in WOMAC total scores were significantly less in the continuous treatment group than in the intermittent treatment group in patients with a BMI <30 kg/m2 (1.33 vs 4.85; p=0.016) and in patients with a BMI ≥30 kg/m2 (1.84 vs 5.12; p=0.019). There was a greater worsening in patients with a BMI ≥30 kg/m2 than in those with a BMI <30 kg/m2 in both the continuous and intermittent groups. Fewer flares were reported in the continuous treatment group than in the intermittent group in patients with a BMI <30 kg/m2 (0.55 vs 0.88; p<0.0001) and ≥30 kg/m2 (0.54 vs 0.97; p<0.0001). There were no differences in adverse events in the two BMI groups. Conclusions: Continuous celecoxib treatment was significantly more efficacious than intermittent use in patients with a BMI <30 kg/m2 compared with obese patients (≥30 kg/m2) as assessed by WOMAC total scores and the number of flares. These data suggest that including weight loss as part of a treatment regimen for obese OA patients could be important.

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