scholarly journals Association between neighborhood health behaviors and body mass index in Northern Norway: evidence from the Tromsø Study

2021 ◽  
pp. 140349482110599
Author(s):  
Emre Sari ◽  
Mikko Moilanen ◽  
Clare Bambra ◽  
Sameline Grimsgaard ◽  
Inger Njølstad
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Health Behavior ◽  
Body Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Strong Association ◽  
Overweight And Obesity ◽  
Activity Level ◽  
Northern Norway

Aim: The prevalence of overweight and obesity has risen rapidly worldwide, and the ongoing obesity pandemic is one of the most severe public health concerns in modern society. The average body mass index (BMI) of people living in Northern Norway has also steadily increased since the late 1970s. This study aimed to understand how individuals’ health behavior is associated with the general health behavior of the people in their neighborhood. Methods: Using the population-based Tromsø Study, we examined the life course association between average leisure time physical activity at the neighborhood level and the BMI of individuals living in the same neighborhood. We used a longitudinal dataset following 25,604 individuals living in 33 neighborhoods and performed a linear mixed-effects analysis. Results: The results showed that participants living in neighborhoods whose residents were more physically active during their leisure time, were likely to have a significantly lower BMI (−0.9 kg/m², 95% CI −1.5 to −0.4). Also, individuals living in neighborhoods whose residents were doing mainly manual work, had significantly higher BMIs (0.7 kg/m², 95% CI 0.4−1.0). Conclusions: Our results showed a strong association between the average leisure time physical activity level of neighborhood residents and the higher BMI levels of residents of the same neighborhood.

scholarly journals Influence of family history on prognosis of spinal pain and the role of leisure time physical activity and body mass index: a prospective study using family-linkage data from the Norwegian HUNT study

BMJ Open ◽  
2018 ◽  
Vol 8 (10) ◽  
pp. e022785
Author(s):  
Anita B Amorim ◽  
Paulo H Ferreira ◽  
Manuela L Ferreira ◽  
Ragnhild Lier ◽  
Milena Simic ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Spinal Pain ◽  
Activity Level ◽  
Linkage Data ◽  
Hunt Study ◽  
Chronic Spinal Pain

ObjectivesTo investigate the influence of parental chronic spinal pain on prognosis of chronic spinal pain in adult offspring, and whether offspring physical activity level and body mass index (BMI) modified this association.DesignProspective cohort study.SettingWe used family-linked longitudinal data from the Norwegian HUNT study collected in HUNT2 (1995–1997) and HUNT3 (2006–2008).ParticipantsA total of 1529 offspring who reported spinal pain in HUNT2 were linked with parental data and followed up in HUNT3.OutcomesWe estimated relative risk (RR) with 95% CI for recovery from chronic spinal pain, and also from activity limiting spinal pain, in offspring related to chronic spinal pain in parents. We also investigated whether offspring leisure time physical activity and BMI modified these intergenerational associations in spinal pain.ResultsA total of 540 (35%) offspring were defined as recovered after approximately 11 years of follow-up. Offspring with both parents reporting chronic spinal pain were less likely to recover from chronic spinal pain (RR 0.83, 95% CI 0.69 to 0.99) and activity limiting spinal pain (RR 0.71, 95% CI 0.54 to 0.94), compared with offspring of parents without chronic spinal pain. Analyses stratified by BMI and physical activity showed no strong evidence of effect modification on these associations. However, offspring who were overweight/obese and with both parents reporting chronic spinal pain had particularly low probability of recovery from activity limiting spinal pain, compared with those who were normal weight and had parents without chronic spinal pain (RR 0.57, 95% CI 0.39 to 0.84).ConclusionOffspring with chronic spinal pain are less likely to recover if they have parents with chronic spinal pain, particularly if offspring are overweight/obese.

Reduced risk of Parkinson’s disease associated with lower body mass index and heavy leisure-time physical activity

2014 ◽  
Vol 29 (4) ◽  
pp. 285-292 ◽  
Author(s):  
Katri Sääksjärvi ◽  
Paul Knekt ◽  
Satu Männistö ◽  
Jukka Lyytinen ◽  
Tuija Jääskeläinen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Parkinson’S Disease ◽  
Body Mass Index ◽  
Parkinson's Disease ◽  
Body Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Lower Body ◽  
Lower Body Mass Index ◽  
Reduced Risk

scholarly journals The Association between Body Mass Index and Leisure-Time Physical Activity in Adults with Multiple Sclerosis

2020 ◽  
Vol 17 (3) ◽  
pp. 920
Author(s):  
Wi-Young So ◽  
Alon Kalron
Keyword(s):  
Physical Activity ◽  
Multiple Sclerosis ◽  
Body Mass Index ◽  
Body Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Chi Square ◽  
Disability Status ◽  
Chi Square Analysis ◽  
Disability Level

(1) Purpose: Conflicting information exists regarding the relationship between obesity, leisure-time physical activity (PA), and disability in people with multiple sclerosis (PwMS). We aimed to investigate the association between leisure-time PA and weight status in a relatively large cohort of PwMS. Furthermore, we examined this relationship according to the level of neurological disability. (2) Methods: The study included 238 PwMS (138 women) with a mean Expanded Disability Status Scale (EDSS) score of 2.5 (standard deviation [SD] = 1.7), mean disease duration of 6.4 (SD = 8.2) years, and mean age of 40.5 (SD = 12.9) years. Obesity was defined using two different metrics, each based on body mass index (BMI). Leisure-time PA was determined by the Godin–Shephard leisure-time PA questionnaire. Statistical analyses included multivariate logistic regression, the chi-square test, and Pearson coefficient correlations. (3) Results: The unadjusted odds ratio (OR) between leisure-time PA and BMI based on the World Health Organization’s (WHO) definition was 1.070 (p = 0.844) for overweight and 1.648 (p = 0.254) for obesity. The adjusted OR was 1.126 (p = 0.763) for overweight and 1.093 (p = 0.847) for obesity after adjustment for age, gender, and disability status. Chi-square analysis revealed no significant correlation between leisure-time PA and obesity (p = 0.564) according to the BMI threshold for PwMS. The unadjusted OR (95% confidence interval [CI]) between disability level and BMI based on the WHO definition was 1.674 (p = 0.220) for overweight and 0.618 (p = 0.460) for obesity. The adjusted OR was 1.130 (p = 0.787) for overweight and 0.447 (p = 0.234) for obesity after adjustment for age, gender, and leisure-time PA. Similarly, chi-square analysis revealed no significant correlation between disability level and obesity (p = 0.701) per the BMI threshold for PwMS. (4) Conclusions: No association was found between leisure-time PA and BMI in PwMS. An additional finding was the absence of any association between obesity and neurological disability level in the multiple sclerosis cohort.

Relation of Body Mass Index and Body Fat Mass for Spanish University Students, Taking into Account Leisure-Time Physical Activity

2009 ◽  
Vol 108 (2) ◽  
pp. 343-348 ◽  
Author(s):  
Javier Molina-García ◽  
Isabel Castillo ◽  
Carlos Pablos ◽  
Ana Queralt
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
University Students ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Body Fat Mass ◽  
Metabolic Equivalents

The objective of this cross-sectional study was to analyze the relation of Body Mass Index with body fat mass while taking into account the amount of leisure-time physical activity for 299 male university students. Body fat mass was measured by bioelectrical impedance analysis. An estimation of energy expenditure in leisure-time physical activity in metabolic equivalents (METs) was obtained so participants were divided into six activity groups by percentile: no physical activity by the first group and participants physically active were divided into five groups by percentiles: <25%, 26–50%, 51–75%, 76–90%, and 91–100%. Correlations of Body Mass Index with body fat mass were strong in different groups—values ranged from .76 to .85, except for the >90% group.

scholarly journals Relationships of Musculoskeletal Symptoms, Sociodemographics, and Body Mass Index With Leisure-Time Physical Activity Among Nurses

2018 ◽  
Vol 66 (12) ◽  
pp. 577-587 ◽  
Author(s):  
Soohyun Nam ◽  
MinKyoung Song ◽  
Soo-Jeong Lee
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
High Body Mass Index ◽  
Physical Activity Promotion ◽  
Musculoskeletal Symptoms ◽  
Cross Sectional ◽  
Activity Promotion

Nurses have a high prevalence of musculoskeletal symptoms from patient handling tasks such as lifting, transferring, and repositioning. Comorbidities such as musculoskeletal symptoms may negatively affect engagement in leisure-time physical activity (LTPA). However, limited data are available on the relationship between musculoskeletal symptoms and LTPA among nurses. The purpose of this study was to describe musculoskeletal symptoms and LTPA, and to examine the relationships of musculoskeletal symptoms, sociodemographics, and body mass index with LTPA among nurses. Cross-sectional data on sociodemographics, employment characteristics, musculoskeletal symptoms, body mass index, and LTPA were collected from a statewide random sample of 454 California nurses from January to July 2013. Descriptive statistics, bivariate and multiple logistic regressions were performed. We observed that non-White nurses were less likely to engage in regular aerobic physical activity than White nurses (odds ratio [OR] = 0.61; 95% confidence interval [CI] = [0.40, 0.94]). Currently working nurses were less likely to engage in regular aerobic physical activity than their counterparts (OR = 0.48; 95% CI = [0.25, 0.91]). Nurses with higher body mass index were less likely to perform regular aerobic physical activity (OR = 0.93; 95% CI = [0.89, 0.97]) or muscle-strengthening physical activity (OR = 0.92; 95% CI = [0.88, 0.96]). This study found no evidence that musculoskeletal symptoms may interfere with regular engagement in LTPA. Physical activity promotion interventions should address employment-related barriers, and particularly target racial minority nurses and those who have a high body mass index.

scholarly journals Obesity and lifestyle risk factors among an adult population in Legal Amazon, Mato Grosso, Brazil

2016 ◽  
Vol 18 (1) ◽  
pp. 26-36 ◽  
Author(s):  
Rita De Cássia Spanhol ◽  
Carlos Kusano Bucalen Ferrari
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
Soft Drinks ◽  
Overweight And Obesity ◽  
Activity Level ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

<p>To evaluate the frequency of obesity and lifestyle risk factors in the population of Barra do Garças, Legal Amazon.</p><p><strong>Methodology </strong>A randomized, transversal study with 305 adults of both genders was performed. Weight, height, body mass index (BMI), waist circumference, food dietary habits, frequency of smoking and alcoholic consumption, practice of physical activity, and the physical activity level were evaluated.  </p><p><strong>Results </strong>Smoking and alcoholic consumption was higher among men compared to women. Almost 60 % of men engaged in leisure-time physical activities, whereas only 42.4 % of women practiced physical activity. Women were engaged in mostly sedentary behavior activities, such as watching television and using the computer use than men. Dietary daily intake of fruits and vegetables were higher among women compared to men (65.9 % and 51.5 %, respectively). Men were more prone to drink soft drinks than women. However, 39.4 % of men and only 3.4 % of women drank soft drinks three or more days <em>per</em> week. The prevalence of overweight and obesity according to body mass index (BMI) was higher in this study. 34.4 % of men and 33.7 % of women were overweight and 15.10 % and 17.50% of men and women, respectively, were classifyied as obese. Elevated values of waist circumference were found in 35.35 % of men and 70.73 % of women.</p><p><strong>Conclusión</strong> Women were more sedentary than men and had higher prevalence of abnormal waist circumference values.</p>

Abstract 004: Physical Activity, Television Watching and Genetic Predisposition in Relation to Body Mass Index in Women and Men

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Qibin Qi ◽  
Yanping Li ◽  
Andrea K Chomistek ◽  
Jae Hee Kang ◽  
Gary C Curhan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Genetic Predisposition ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Brisk Walking ◽  
Main Effect ◽  
Genetic Predisposition Score ◽  
Tv Watching

Background Previous studies on gene-lifestyle interaction and obesity have largely focused on a single locus, the FTO gene, and overall physical activity, while little attention has been given in the association for sedentary activity as indicated by television (TV) watching. We examined the interactions between leisure-time physical activity and TV watching and the genetic predisposition to increased body mass index (BMI). Methods Longitudinal data were obtained from 7740 women and 4564 men from 2 prospective cohorts: the Nurses’ Health Study and Health Professionals Follow-up Study. Data on physical activity and TV watching were collected 2 years prior to assessment of BMI. A genetic predisposition score was calculated on basis of 32 established BMI-predisposing variants. Results Overall, each additional BMI-increasing allele was associated with an increase of 0.13 (SE 0.01) kg/m 2 in BMI. The effect size for BMI in individuals in the highest physical activity quintile was attenuated compared to that in individuals in the lowest physical activity quintile (0.08 [0.02] vs 0.15 [0.02] kg/m 2 ; P for interaction <0.001). In contrast, the genetic effect on BMI was more pronounced in individuals who spent >40 h/wk of TV watching than that in individuals who spent 0-1 h/wk of TV watching (0.34 [0.10] vs 0.08 [0.04] kg/m 2 ; P for interaction =0.001). Each 4 Mets/d increment in physical activity (equivalents to 1h/d of brisk walking) was associated with a 0.06 (95% CI 0.03-0.08) kg/m 2 reduction in BMI (∼46% of the main effect of each additional BMI-increasing allele), while each 2 h/d increment in TV watching was associated with a 0.03 (0.01-0.06) kg/m 2 increase in BMI (∼23% of the main effect). We estimated that the difference in BMI (∼4.0 kg/m 2 , equivalents to 11.6 kg in body weight for a person 1.70 m tall) between individuals with a genetic predisposition score of 13 (minimum) and those with a score of 43(maximum) could be reduced by half (2.1 kg/m 2 , 6.1 kg in weight) by 1 h/d of brisk walking or increased by 25% (5.0 kg/m 2 , 14.5 kg in weight) by 2h/d of TV watching. Conclusions Greater leisure-time physical activity attenuates the genetic predisposition to increased BMI, whereas sedentary lifestyle indicated by prolonged TV watching accentuates the genetic effects on BMI. Our data suggest that both increasing exercise levels and reducing sedentary behaviors, especially TV watching, independently may mitigate the genetic predisposition to increased BMI.

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