scholarly journals Physical activity among adolescent tobacco and electronic cigarette users: Cross-sectional findings from the Population Assessment of Tobacco and Health study

2019 ◽  
Vol 15 ◽  
pp. 100897 ◽  
Author(s):  
Connor Miller ◽  
Danielle M. Smith ◽  
Maciej L. Goniewicz
Keyword(s):  
Physical Activity ◽  
Electronic Cigarette ◽  
Health Study ◽  
Cross Sectional ◽  
Population Assessment

scholarly journals Association of smoking and electronic cigarette use with wheezing and related respiratory symptoms in adults: cross-sectional results from the Population Assessment of Tobacco and Health (PATH) study, wave 2

2019 ◽  
pp. tobaccocontrol-2018-054694 ◽  
Author(s):  
Dongmei Li ◽  
Isaac K Sundar ◽  
Scott McIntosh ◽  
Deborah J Ossip ◽  
Maciej Lukasz Goniewicz ◽  
...  
Keyword(s):  
Lower Risk ◽  
Respiratory Symptoms ◽  
Electronic Cigarettes ◽  
Electronic Cigarette ◽  
Health Study ◽  
Cigarette Use ◽  
Cross Sectional ◽  
Population Assessment ◽  
Increased Risk ◽  
The Cross

BackgroundWheezing is a symptom of potential respiratory disease and known to be associated with smoking. Electronic cigarette use (‘vaping’) has increased exponentially in recent years. This study examined the cross-sectional association of vaping with wheezing and related respiratory symptoms and compare this association with smokers and dual users.MethodsThe Population Assessment of Tobacco and Health study wave 2 data collected from October 2014 to October 2015 with 28 171 adults were used. The cross-sectional association of vaping with self-reported wheezing and related respiratory symptoms relative to smokers and dual users of tobacco and electronic cigarettes were studied using multivariable logistic and cumulative logistic regression models with consideration of complex sampling design.ResultsAmong the 28 171 adult participants, 641 (1.2%) were current vapers who used e-cigarettes exclusively, 8525 (16.6%) were current exclusive smokers, 1106 (2.0%) were dual users and 17 899 (80.2%) were non-users. Compared with non-users, risks of wheezing and related respiratory symptoms were significantly increased in current vapers (adjusted OR (aOR)=1.67, 95% CI: 1.23 to 2.15). Current vapers had significantly lower risk in wheezing and related respiratory symptoms compared with current smokers (aOR=0.68, 95% CI: 0.53 to 0.87). No significant differences were found between dual users and current smokers in risk of wheezing and related respiratory symptoms (aOR=1.06, 95% CI: 0.91 to 1.24).ConclusionsVaping was associated with increased risk of wheezing and related respiratory symptoms. Current vapers had lower risk in wheezing and related respiratory symptoms than current smokers or dual users but higher than non-users. Both dual use and smoking significantly increased the risk of wheezing and related respiratory symptoms.

scholarly journals Cross-Sectional Associations of Smoking and E-cigarette Use with Self-Reported Diagnosed Hypertension: Findings from Wave 3 of the Population Assessment of Tobacco and Health Study

Toxics ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 52
Author(s):  
Connor R. Miller ◽  
Hangchuan Shi ◽  
Dongmei Li ◽  
Maciej L. Goniewicz
Keyword(s):  
Electronic Cigarettes ◽  
Epidemiologic Studies ◽  
Health Condition ◽  
Health Study ◽  
Cigarette Use ◽  
Health Consequences ◽  
Cross Sectional ◽  
Population Assessment ◽  
Current Smoking ◽  
Never Smokers

Following their introduction a decade ago, electronic cigarettes (e-cigarettes) have grown in popularity. Given their novelty, knowledge of the health consequences of e-cigarette use remains limited. Epidemiologic studies have not comprehensively explored associations between e-cigarette use and hypertension, a highly prevalent health condition and major contributor to cardiovascular disease burden. In this study, cross-sectional associations of cigarette smoking and e-cigarette use (vaping) with self-reported diagnosed hypertension were evaluated among 19,147 18–55 year old respondents in Wave 3 (2015–2016) of the Population Assessment of Tobacco and Health Study. Multivariable analyses first modeled smoking and vaping as separate 2-category variables, then as a 6-category composite variable accounting for former smoking. After adjusting for potential confounders, current vaping (aOR = 1.31; 95%CI: 1.05–1.63) and current smoking (aOR = 1.27; 95%CI: 1.10–1.47) were both associated with higher odds of hypertension. In analyses modeling smoking and vaping compositely, respondents who were concurrently smoking and vaping had the highest odds of hypertension (aOR = 1.77; 95%CI: 1.32–2.39 [referent: never smokers]). These results differ somewhat from prior epidemiologic studies of vaping and respiratory outcomes, which consistently report smaller point estimates for current vaping than for current smoking. Our findings reinforce the uncertainty surrounding long-term health consequences of vaping, as well as highlight important distinctions between respiratory and cardiovascular outcomes when considering the harm reduction potential of e-cigarettes.

scholarly journals Daily Sitting for Long Periods Increases the Odds for Subclinical Atheroma Plaques

2021 ◽  
Vol 10 (6) ◽  
pp. 1229
Author(s):  
Jose Luis Perez-Lasierra ◽  
Martin Laclaustra ◽  
Pilar Guallar-Castillón ◽  
Jose Antonio Casasnovas ◽  
Jose Antonio Casajús ◽  
...  
Keyword(s):  
Physical Activity ◽  
Subclinical Atherosclerosis ◽  
Sitting Time ◽  
Health Study ◽  
Activity Levels ◽  
Cross Sectional ◽  
Trained Personnel ◽  
Atherosclerosis Development ◽  
Sectional Analysis ◽  
The Relationship

Sedentarism is a risk factor for cardiovascular disease (CVD), but currently it is not clear how a sedentary behavior such as long sitting time can affect atherosclerosis development. This study examined the relationship between sitting time and the prevalence of carotid and femoral subclinical atherosclerosis. A cross-sectional analysis based on a subsample of 2082 participants belonging to the Aragon Workers’ Health Study was carried out. Ultrasonography was used to assess the presence of plaques in carotid and femoral territories; the validated Spanish version of the questionnaire on the frequency of engaging in physical activity used in the Nurses’ Health Study and the Health Professionals’ was used to assess physical activity and sitting time; and demographic, anthropometric, and clinical data were obtained by trained personnel during the annual medical examination. Participants were categorized into <9 h/day and ≥9 h/day sitting time groups. After adjusting for several confounders, compared with participants that remain seated <9 h/day, those participants who remain seated ≥9 h/day had, respectively, OR = 1.25 (95%CI: 1.01, 1.55, p < 0.05) and OR = 1.38 (95%CI: 1.09, 1.74, p < 0.05) for carotid and any-territory plaque presence. Remaining seated ≥9 h/day is associated with higher odds for carotid and any-territory plaque presence independently of physical activity levels and other cardiovascular risk factors.

scholarly journals Relationship between Physical Activity and Blood Lipid Profile in Residents of Yazd City (YaHS Study)

2020 ◽  
Author(s):  
Masoud Mirzaei ◽  
Farnaz Nekahi
Keyword(s):  
Physical Activity ◽  
Blood Lipid ◽  
Activity Level ◽  
Health Study ◽  
General Level ◽  
Statistical Relationship ◽  
Physical Activity Intensity ◽  
Blood Lipid Profile ◽  
Cross Sectional ◽  
Activity Intensity

Introduction: Inadequate physical activity is one of the causes of fat disorders and regular physical activity is one of the important factors in correcting fat disorders. The aim of this study was to determine the relationship between physical activity levels and blood lipids as a risk factor for cardiovascular disease. Methods: This analytical cross sectional study was conducted using the information of the registration phase of the Yazd People's Health Study on 9962 residents of Yazd in the age group of 20 to 70 years between 2014 and 2015. Study data were obtained using standard questionnaires and participants' blood samples. SPSS software, version 21, t-test, linear regression, and OR comparison of fat disorders were used in the physical activity intensity classes. Results: In the study sample, 49.4% are men. No statistical significant physical activity level was found in the study of the ratio of chance of fat disorder. Moreover, no significant relationship was observed in the study of the linear relationship between the general level of physical activity and fat profile components (p> 0.05). It should be noted that a significant statistical relationship was observed between the level of TC or blood total cholesterol and blood triglycerides with sex, body mass index and family history and some age groups. (p <0.05). Conclusion: In the analysis of the data of this study, no significant statistical relationship was found between blood lipid levels and physical activity.

scholarly journals Burden of prediabetes, undiagnosed, and poorly or potentially sub-controlled diabetes: Lolland-Falster health study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Neda Esmailzadeh Bruun-Rasmussen ◽  
George Napolitano ◽  
Allan Kofoed-Enevoldsen ◽  
Stig Egil Bojesen ◽  
Christina Ellervik ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Adult Population ◽  
Health Perception ◽  
Poor Health ◽  
Undiagnosed Diabetes ◽  
Health Study ◽  
Related Condition ◽  
Cross Sectional

Abstract Background This study aimed to investigate prevalence and risk factors for prediabetes, undiagnosed diabetes mellitus, poorly and potentially sub-controlled diabetes in a rural-provincial general adult population in Denmark. Methods Using cross-sectional data from the Lolland-Falster Health Study, we examined a total of 10,895 individuals aged 20 years and above. Results Prevalence of prediabetes was 5.8% (men: 6.1%; women: 5.5%); of undiagnosed diabetes 0.8% (men: 1.0%; women: 0.5%); of poorly controlled diabetes 1.2% (men: 1.5%; women: 0.8%); and of potentially sub-controlled diabetes 2% (men: 3.0%; women: 1.3%). In total, 9.8% of all participants had a diabetes-related condition in need of intervention; men at a higher risk than women; RR 1.41 (95% CI 1.26–1.58); person aged + 60 years more than younger; RR 2.66 (95% CI 2.34–3.01); obese more than normal weight person, RR 4.51 (95% CI 3.79–5.38); smokers more than non-smokers, RR 1.38 (95% CI 1.19–1.62); persons with self-reported poor health perception more than those with good, RR 2.59 (95% CI 2.13–3.15); low leisure time physical activity more than those with high, RR 2.64 (95% CI 2.17–3.22); and persons with self-reported hypertension more than those without, RR 3.28 (95% CI 2.93–3.68). Conclusions In the Lolland-Falster Health Study, nearly 10% of participants had prediabetes, undiagnosed diabetes, poorly controlled, or potentially sub-controlled diabetes. The risk of these conditions was more than doubled in persons with self-reported poor health perception, self-reported hypertension, low leisure time physical activity, or measured obesity, and a large proportion of people with diabetes-related conditions in need of intervention can therefore be identified relatively easily.

Physical Activity and Headache: Results from the Nord-Trøndelag Health Study (HUNT)

Cephalalgia ◽  
2008 ◽  
Vol 28 (12) ◽  
pp. 1292-1297 ◽  
Author(s):  
E Varkey ◽  
K Hagen ◽  
J-A Zwart ◽  
M Linde
Keyword(s):  
Physical Activity ◽  
Migraine Headache ◽  
Linear Trend ◽  
Health Study ◽  
Cross Sectional ◽  
Physically Active ◽  
The Cross ◽  
Cross Sectional Design ◽  
The Relationship

The aim of this study was to evaluate, using a prospective and a cross-sectional design, the relationship between level of physical activity and migraine and non-migraine headache. In the prospective part, 22 397 participants, not likely to have headache, answered questions about physical activity at baseline (19841986) and responded to a headache questionnaire at follow-up. In the cross-sectional part (1995-1997), 46 648 participants answered questions about headache and physical activity. Physically inactive individuals at baseline were more likely than active individuals to have non-migraine headache 11 years later (odds ratio 1.14, 95± confidence interval 1.02, 1.28). In the cross-sectional analyses, low physical activity was associated with higher prevalence of migraine and non-migraine headache. In both headache groups, there was a strong linear trend ( P< 0.001) of higher prevalence of ‘low physical activity’ with increasing headache frequency. The result may indicate that physical inactivity among headache-free individuals is a risk factor for non-migraine headache and that individuals with headache are less physically active than those without headache.

scholarly journals Associations between the combined physical activity environment, socioeconomic status, and obesity: a cross-sectional study

2017 ◽  
Vol 138 (3) ◽  
pp. 169-172 ◽  
Author(s):  
M Hobbs ◽  
C Griffiths ◽  
MA Green ◽  
H Jordan ◽  
J Saunders ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Socioeconomic Status ◽  
Body Mass ◽  
Health Study ◽  
Cross Sectional ◽  
Physical Activity Environment ◽  
Individual Level ◽  
Physical Activity Facility ◽  
Physical Activity Environments

Aims: This study investigates associations between the combined physical activity environment and obesity and explores any sub-group effects by individual-level socioeconomic status. Methods: In a large cross-sectional cohort ( n = 22,889) from the Yorkshire Health Study, body mass index was calculated using self-reported height and weight and obesity was defined as a body mass index ≥ 30. The physical activity environment was split into ‘unfavourable physical activity’, ‘moderately favourable physical activity’ and ‘favourable physical activity’ environments. This was based on the count of parks and physical activity facilities within a 2 km radial buffer centred on home addresses. A favourable physical activity environment was defined as having ≥1 physical activity facility and ≥1 park, unfavourable as having no physical activity facility and park and any other combinations defined as moderately favourable. Logistic regression (odds ratios) identified associations with obesity. Results: Relative to ‘unfavourable physical activity environments’, individuals within favourable physical activity environments were less likely to be obese (odds ratio = 0.90; 95% confidence interval = 0.82–0.97), and there was no effect for moderately favourable environment. Furthermore, once stratified by education level, this relationship was only present for those of higher education. Conclusion: Our findings provide novel UK evidence and is one of the first papers internationally that highlights the importance of considering the interplay of individual-level socioeconomic factors when investigating associations between the physical activity environment and obesity.

Abstract 59: Age-Specific Probabilities of Transitioning between Ideal, Intermediate, and Poor Levels of Physical Activity in the United States: The Hispanic Community Health Study/Study of Latinos (HCHS/SOL) and the National Health and Nutrition Examination Survey (NHANES)

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Katelyn M Holliday ◽  
Danyu Lin ◽  
Sujatro Chakladar ◽  
Martha L Daviglus ◽  
Kelly R Evenson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Transition Probabilities ◽  
Vigorous Physical Activity ◽  
The United States ◽  
Self Report ◽  
Health Study ◽  
Activity Levels ◽  
Cross Sectional ◽  
Physical Activity Levels ◽  
Sampling Procedures

Maintenance of recommended physical activity levels is associated with favorable cardiovascular outcomes. Consequently, the American Heart Association (AHA) included physical activity in the new Ideal Cardiovascular Health concept. Although physical activity is known to decline with age, the age-specific probability of transitioning between AHA defined levels (ideal, intermediate, poor) is unclear. This knowledge could inform interventions seeking to increase or maintain physical activity levels across the life-course. We estimated age-specific prevalence of ideal (≥150 min/wk moderate or ≥75 min/wk vigorous or equivalent combination), intermediate (1-149 min/wk moderate or 1-74 min/wk vigorous or equivalent combination) and poor (0 min of moderate and vigorous) physical activity among adult (16+) European Americans (EA) and African Americans (AA) from the 2007-2010 NHANES (n=13,418) and Hispanic/Latino participants (H/L) from the 2008-2011 HCHS/SOL (n=14,291). Prevalence estimation incorporated data from identical NHANES and HCHS/SOL self-report questionnaires. We then used the prevalence estimates to calculate age, race, and sex-specific probabilities of transitioning between levels using Markov-type state-transition models. These models are designed to estimate transition probabilities from cross-sectional data assuming time-constant transitions, and have been updated to accommodate complex sampling procedures. The estimated 5-year probability of maintaining ideal physical activity levels remained high through the fourth decade of life, after which race and sex differences were observed. For example, the estimated 5-year probabilities of transitioning from ideal to intermediate physical activity levels were similar at age 40 for EA and AA men (1.2% [95%CI: 0.3, 2.3] vs. 2.2% [95%CI: 1.0, 3.6]), but by age 65 diverged to 5.3% (95%CI: 3.9, 6.9) vs. 11.6% (95%CI: 8.5, 15.2), respectively. During middle age, the estimated probability of transitioning from intermediate to poor physical activity levels was accelerated, although variation by race was noted. For example, the estimated probability of transitioning from intermediate to poor physical activity levels was <25% for EA, AA and H/L men through age 40, but by age 65 this increased to 32.6% (95%CI: 22.0, 44.1) for EA men and 41.1% (95%CI: 26.1, 58.0) for AA men while remaining low (11.1% (95%CI: 0.3, 24.3) for H/L men. Across all race-sex groups, individuals with poor physical activity levels had a 0% estimated probability of transitioning to ideal or intermediate physical activity levels, regardless of age. These results indicate need for interventions aimed at maintaining ideal physical activity levels beginning in young adulthood, particularly in AAs who transition from ideal levels at earlier ages than other race/ethnic groups. Innovative efforts may be needed for those with poor physical activity.

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