Fatigue and Physical Activity Levels of Smoking and Non-smoking Healthy Sedentary Individuals

Ergin, Çağla; Yurdalan, Saadet Ufuk; Demırbüken, İlkşan; Zengin, Orhan

doi:10.5152/clinexphealthsci.2016.036

Cited by 3 publications

(2 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These three principal components demonstrated that the smokers were characterized by higher body mass, high-fat accumulation, and a greater level of nicotine. This finding is concordant with the results reported from previous studies where the smoking samples were found to be heavier and with a considerable accumulation of body fat, as opposed to their non-smoking counterparts [ 51 , 52 ]. Moreover, a previous study demonstrated that the body fat of smokers is likely to be distributed mainly across the abdomen in a somewhat central or an apple-shaped pattern, which brings about adverse consequences for health [ 53 ].…”

Section: Discussionsupporting

confidence: 93%

Association of Physical Activity with Anthropometrics Variables and Health-Related Risks in Healthy Male Smokers

Eswaramoorthi

Suhaimi

Abdullah

et al. 2022

IJERPH

View full text Add to dashboard Cite

Anthropometric variables (AV) are shown to be essential in assessing health status and to serve as markers for evaluating health-related risks in different populations. Studying the impact of physical activity (PA) on AV and its relationship with smoking is a non-trivial task from a public health perspective. In this study, a total of 107 healthy male smokers (37 ± 9.42 years) were recruited from different states in Malaysia. Standard procedures of measurement of several anthropometric indexes were carried out, and the International Physical Activity Questionnaire (IPPQ) was used to ascertain the PA levels of the participants. A principal component analysis was employed to examine the AV associated with physical activity, k-means clustering was used to group the participants with respect to the PA levels, and discriminant analysis models were utilized to determine the differential variables between the groups. A logistic regression (LR) model was further employed to ascertain the efficacy of the discriminant models in classifying the two smoking groups. Six AV out of twelve were associated with smoking behaviour. Two groups were obtained from the k-means analysis, based on the IPPQ and termed partially physically active smokers (PPAS) or physically nonactive smokers (PNAS). The PNAS were found to be at high risk of contracting cardiovascular problems, as compared with the PPAS. The PPAS cluster was characterized by a desirable AV, as well as a lower level of nicotine compared with the PNAS cluster. The LR model revealed that certain AV are vital for maintaining good health, and a partially active lifestyle could be effective in mitigating the effect of tobacco on health in healthy male smokers.

show abstract

Section: Discussionsupporting

confidence: 93%

Association of Physical Activity with Anthropometrics Variables and Health-Related Risks in Healthy Male Smokers

Eswaramoorthi

Suhaimi

Abdullah

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…This cross-sectional study was conducted between June 2019 and November 2019 in the Cardiopulmonary Rehabilitation Unit of the Hacettepe University Faculty of Physical Therapy and Rehabilitation in Ankara, Turkey. Sample size was calculated based on a previous study by Ergin et al 10 Based on the total physical activity scores of smokers and non-smokers in that study, it was determined that at least 63 participants should be included in each group for our study to have 80% strength using the G*Power analysis system (G*Power, ver. 3.1, Heinrich Heine University Düsseldorf, Düsseldorf, Germany) Accounting for potential loss of up to 10%, the recruitment goal was at least 69 people in each group.…”

Section: Methodsmentioning

confidence: 99%

Health-Promoting Behaviors, Health Literacy, and Levels of Knowledge about Smoking-Related Diseases among Smokers and Non-smokers: A Cross-Sectional Study

et al. 2021

View full text Add to dashboard Cite

Background: Cigarette smoking is an important public health problem. This study aimed to compare health-promoting behaviors, exercise capacity, physical activity levels, health literacy, and levels of knowledge about smoking-related diseases between smokers and nonsmokers. Methods: The study included 71 smokers (mean age=32.69±8.55 years) and 72 non-smokers (mean age=31.88±9.94 years) between the ages of 20 and 60 years. Assessments included the 6-minute walk test (6MWT), Godin Leisure-Time Physical Activity Questionnaire, Health-Promoting Lifestyle Profile II (HPLP-II), Cardiovascular Risk Factors Knowledge Level Scale (CARRIF-KL), Asthma/COPD Awareness Questionnaire, the World Health Organization Quality of Life-Bref questionnaire (WHOQoL-Bref [TR]), and Health Literacy Questionnaire (HLQ). Results: The number of coronary artery disease risk factors were significantly higher in the smoker group than the non-smoker group (p=0.001). Smokers had significantly lower %6MWT distance than non-smokers (84.83±4.72, 93.45±7.16 respectively, p<0.05). There was no significant difference between the smokers and non-smokers in terms of physical activity, CARRIF-KL, HLQ, WHOQoL-Bref, and HPLP-II subscales or total scores (p>0.05). Otherwise, while only forty-one (57.7%) of the smokers were active, 48 (66.7%) of the non-smoker group was active. Conclusion: Exercise capacity is negatively affected in smokers compared to non-smokers. Although smokers and non-smokers have similar levels of health literacy and knowledge of cardiovascular disease risk factors and obstructive lung diseases, health professions could contribute to increase individuals' awareness of smoking-related risk factors, the importance of physical activity and exercise for protecting cardiopulmonary health.

show abstract

Balneoterapinin fibromiyalji hastalarında ağrı ve yaşam kalitesine etkisi

Karadağ

Parlak

Canbaş³

2018

Mustafa Kemal Üniversitesi Tıp Dergisi

View full text Add to dashboard Cite

ve hastalık süresi ortalama 54.91 ± 59.5 ay olarak belirlendi. FMS'li hastaların tedavi öncesi ve tedavi sonrası değerlendirilen GAS ve FEA skorları arasındaki istatistiksel olarak anlamlı farklılık vardı (p=0.01). FEA skorlarındaki azalma sigara içmeyen hastalarda daha fazlaydı (p<0.05). Sonuç: FMS'li hastalarda BT sonrasında GAS değerlerinde ve FEA skorlarında anlamlı derecede azalma vardı. Bununla birlikte yaşam kalitesindeki artış sigara içmeyen FM'li hastalarda sigara içen FM'li hastalara oranla daha fazladır.

show abstract

Fatigue and Physical Activity Levels of Smoking and Non-smoking Healthy Sedentary Individuals

Cited by 3 publications

References 11 publications

Association of Physical Activity with Anthropometrics Variables and Health-Related Risks in Healthy Male Smokers

Association of Physical Activity with Anthropometrics Variables and Health-Related Risks in Healthy Male Smokers

Health-Promoting Behaviors, Health Literacy, and Levels of Knowledge about Smoking-Related Diseases among Smokers and Non-smokers: A Cross-Sectional Study

Balneoterapinin fibromiyalji hastalarında ağrı ve yaşam kalitesine etkisi

Contact Info

Product

Resources

About