Longitudinal analysis of lifestyle habits in relation to body mass index, onset of overweight and obesity: Results from a large population-based cohort in Sweden

2015 ◽  
Vol 43 (3) ◽  
pp. 236-245 ◽  
Author(s):  
Jeroen s. de Munter ◽  
Per Tynelius ◽  
Cecilia Magnusson ◽  
Finn Rasmussen
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Longitudinal Analysis ◽  
Large Population ◽  
Population Based ◽  
Overweight And Obesity ◽  
Lifestyle Habits

scholarly journals Associations Between Anxiety Disorder Diagnoses and Body Mass Index Differ by Age, Sex and Race: A Population Based Study

2016 ◽  
Vol 12 (1) ◽  
pp. 67-74 ◽  
Author(s):  
Ramona S. DeJesus ◽  
Carmen R. Breitkopf ◽  
Jon O. Ebbert ◽  
Lila J. Finney Rutten ◽  
Robert M. Jacobson ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Anxiety Disorders ◽  
Body Mass ◽  
Inverse Correlation ◽  
Black Population ◽  
Population Based ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Racial Groups ◽  
Rochester Epidemiology Project

Background: Few large studies have examined correlations between anxiety and body mass index (BMI) by gender or racial groups using clinical data. Objective: This study aimed to determine associations between diagnosed anxiety disorders and BMI, and evaluate whether observed associations varied by demographic characteristics. Method: Data from the Rochester Epidemiology Project (REP) data linkage system were analyzed to examine associations between anxiety disorders and BMI among adults ages 18-85 residing in Olmsted County, MN in 2009 (n=103,557). Height and weight data were available for 75,958 people (73%). The international classification of underweight, overweight, and obesity by BMI was used. Results: Population consisted of 56% females, 92.8% White individuals, with median age of 46 years. When adjusted for age, sex, and race, we observed a U-shaped association between anxiety and BMI group. Underweight and obese individuals were more likely to have an anxiety diagnosis compared to normal weight individuals. Stratification by sex yielded a U-shaped association between anxiety and BMI only in women. Stratification by race showed a U-shaped association between anxiety and BMI only in the White population. Anxiety was significantly associated only with obesity in the Black population. Anxiety was not associated with a BMI category in Asian or Hispanic groups. Among elderly group, there is inverse correlation between anxiety and obesity. Conclusion: Our results suggest that anxiety may have heterogeneous associations with BMI in the population. Further research on potential mechanisms contributing to these findings will help direct efforts in anxiety and obesity management across diverse population groups.

scholarly journals Body Mass Index and Risk of Gastric Cancer in Asian Adults: A Meta-Epidemiological Meta-Analysis of Population-Based Cohort Studies

2020 ◽  
Vol 52 (2) ◽  
pp. 369-373 ◽  
Author(s):  
Jong-Myon Bae
Keyword(s):  
Gastric Cancer ◽  
Body Mass Index ◽  
Body Weight ◽  
Cohort Studies ◽  
Body Mass ◽  
Meta Analysis ◽  
Population Based ◽  
Overweight And Obesity ◽  
Excess Body Weight ◽  
Inverse Association

PurposeA previous meta-analysis (MA) published in 2009 reported that excess body weight was associated with an increased risk of gastric cancer in non-Asians, but not in Asians. The aim was to conduct a meta-epidemiological MA (MEMA) to evaluate association between excess body weight and the risk of gastric cancer in Asian adults with using the proposed classification of weight by body mass index (BMI) in Asian adults.Materials and MethodsThe selection criteria were population-based prospective cohort studies that measured BMI of cohort participants and evaluated a risk of gastric cancer. Overweight group (OW) and obesity group (OB) were defined as 23.0-24.9 and ≥ 25.0, respectively. A group only showing results for BMI over 23.0 was defined as overweight and obesity group (OWB). Random effect model was applied if I<sup>2</sup> value was over 50%.ResultsAfter four new studies were added through citation discovery tools, seven cohort studies with 21 datasets were selected finally for MEMA. The I<sup>2</sup> value of OW, OB, and OWB were 76.1%, 83.5%, and 97.1%, respectively. Only OWB in men had a I<sup>2</sup> value below 50% (22.5%) and showed a statistical significance with inverse association (summary relative risk, 0.79; 95% confidence interval, 0.77 to 0.81).ConclusionThis MEMA supported the hypothesis that OW might be a protective factor in gastric cancer risk in Asian adults. It will be necessary to conduct additional cohort studies with lengthening follow-up periods and re-analyzing the effect of overweight and obesity classified by the Asian criteria.

scholarly journals Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults

The Lancet ◽  
2017 ◽  
Vol 390 (10113) ◽  
pp. 2627-2642 ◽  
Author(s):  
Leandra Abarca-Gómez ◽  
Ziad A Abdeen ◽  
Zargar Abdul Hamid ◽  
Niveen M Abu-Rmeileh ◽  
Benjamin Acosta-Cazares ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Population Based ◽  
Pooled Analysis ◽  
Overweight And Obesity ◽  
Adolescents And Adults

Body mass index and lung cancer risk: results from the ICARE study, a large, population-based case–control study

2012 ◽  
Vol 23 (7) ◽  
pp. 1113-1126 ◽  
Author(s):  
Chloé Tarnaud ◽  
Florence Guida ◽  
Alexandra Papadopoulos ◽  
Sylvie Cénée ◽  
Diane Cyr ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Body Mass Index ◽  
Cancer Risk ◽  
Body Mass ◽  
Case Control Study ◽  
Lung Cancer Risk ◽  
Large Population ◽  
Population Based ◽  
Case Control ◽  
Control Study

Body mass index, body mass change, and risk of oral cavity cancer: results of a large population-based case–control study, the ICARE study

2013 ◽  
Vol 24 (7) ◽  
pp. 1437-1448 ◽  
Author(s):  
Loredana Radoï ◽  
Sophie Paget-Bailly ◽  
Diane Cyr ◽  
Alexandra Papadopoulos ◽  
Florence Guida ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Oral Cavity ◽  
Body Mass ◽  
Case Control Study ◽  
Oral Cavity Cancer ◽  
Large Population ◽  
Population Based ◽  
Case Control ◽  
Body Mass Change ◽  
Control Study

scholarly journals The Effect of MR Image Quality on Structural and Functional Brain Connectivity: The Maastricht Study

2019 ◽  
Author(s):  
Joost J.A. de Jong ◽  
Jacobus F.A. Jansen ◽  
Laura W.M. Vergoossen ◽  
Miranda T. Schram ◽  
Coen D.A. Stehouwer ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Image Quality ◽  
Body Mass ◽  
Brain Connectivity ◽  
Large Population ◽  
Population Based ◽  
Statistical Analyses ◽  
Head Motion ◽  
Mr Image ◽  
Functional Brain

AbstractIn large population-based cohort studies, magnetic resonance imaging (MRI) is often used to study the structure and function of the brain. Advanced MRI techniques such as diffusion-tensor (dMRI) or resting-state functional MRI (rs-fMRI) can be used to study connections between distinct brain regions. However, brain connectivity measures are likely affected by biases introduced during MRI data acquisition and/or processing.We identified three sources that may lead to bias, i.e. signal-to-noise ratio (SNR), head motion, and spatial mismatch between MRI-based anatomy and a brain atlas. After quantifying these sources, we determined the associations between the image quality metrics and brain connectivity measures derived from dMRI and rs-fMRI in 5,110 participants of the population-based Maastricht Study.More head motion and low SNR were negatively associated with structural and functional brain connectivity, respectively, and these metrics substantially affected (>10%) associations of brain connectivity with age, sex and body mass index (BMI), whereas associations with diabetes status, educational level, history of cardiovascular disease, and white matter hyperintensities were less or not affected. In addition, age, sex, and BMI were associated with head motion, SNR, and atlas mismatch (all p < 0.001). Based on our results, we strongly advise that, in large population-based cohort neuroimaging studies, statistical analyses on structural and functional brain connectivity should adjust for potentially confounding effects of image quality.HighlightsLow MR image quality compromises brain connectivity measuresMR image quality is negatively associated with age, body mass index, and male sexStatistical analyses in large neuroimaging studies should account for image quality

Association of body mass index with chronic pain prevalence: a large population-based cross-sectional study in Japan

2018 ◽  
Vol 32 (3) ◽  
pp. 360-367 ◽  
Author(s):  
Keiko Yamada ◽  
Yasuhiko Kubota ◽  
Hiroyasu Iso ◽  
Hiroyuki Oka ◽  
Junji Katsuhira ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Chronic Pain ◽  
Body Mass ◽  
Large Population ◽  
Population Based ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Pain Prevalence
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