Physical inactivity in Canada: Results from the Canadian Community Health Survey Cycle 2.2 (2004–2005)

Liu, J.; Wade, Terrance J.; Faught, Brooke; Hay, JW

doi:10.1016/j.puhe.2008.05.007

Cited by 12 publications

(9 citation statements)

References 4 publications

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“…In our study, we adopt the physical activity definition for the three levels based on these guidelines adopted by the WHO, the CSEP, and the U.S. Surgeon General, that are also used in subsequent Canadian studies (Humphreys, McLeod, and Ruseski 2014;Liu et al 2008;Sari 2009;2013). Examples are daily walking for 30 minutes with a speed of 2.5 miles per hour on a firm surface, or 3-times a week running for 25 minutes or longer with a speed of 5 miles per hour (for other examples, see Ainsworth et al 2000).…”

Section: Sports and Exercise In Canadamentioning

confidence: 99%

Labor market effects of sports and exercise: Evidence from Canadian panel data

Lechner

Sari

2015

Labour Economics

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may Date this version has been printed: 21 February 2014Comments are very welcome Abstract: Based on the Canadian National Population Health Survey we estimate the effects of individual sports and exercise on individual labor market outcomes. The data covers the period from 1994 to 2008. It is longitudinal and rich in life-style, health, and physical activity information. Exploiting these features of the data allows for a credible identification of the effects as well as for estimating dose-response relationships. Generally, we confirm previous findings of positive long-run income effects. However, an activity level above the current recommendation of the WHO for minimum physical activity is required to reap in the longrun benefits.

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Section: Sports and Exercise In Canadamentioning

confidence: 99%

Labor market effects of sports and exercise: Evidence from Canadian panel data

Lechner

Sari

2015

Labour Economics

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“…Understanding the factors associated with physical inactivity can help us take pertinent interventions on targeted populations and increase the levels of physical activity. Although previous studies found that physical inactivity was associated with demographic variables (such as gender, age, weight, education) 13–15 and health behaviours (such as smoking and drinking), 16 little is known about how physical inactivity varies across a number of factors among middle-aged and older Chinese adults. Therefore, we conducted this cross-sectional study to examine the prevalence and determinants of physical inactivity among community residents aged above 40 years in Shenzhen, China.…”

Section: Introductionmentioning

confidence: 99%

Prevalence and risk factors of physical inactivity among middle-aged and older Chinese in Shenzhen: a cross-sectional study

Zhou

Zhang

et al. 2018

BMJ Open

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ObjectiveInvestigations on physical inactivity are common around the world; however, little is known about the status of physical inactivity in mainland China. The aim of this study was to examine the prevalence and risk factors associated with physical inactivity in Shenzhen in Southern China.DesignA community-based, cross-sectional study.SettingA multistage-stratified, random cluster survey was conducted in Xixiang Street, Bao’an District of Shenzhen in Southeast China.Participants3920 adults aged 40 years or more were recruited to the study and completed the International Physical Activity Questionnaire Short Form between 1 March 2015 and 30 July 2016.Main outcome measuresPhysical inactivity was defined as engaging in physical activity levels insufficient to reach the current guidelines. Bivariate and multivariate analyses were undertaken to assess the prevalence and risk factors associated with physical inactivity.ResultsThe prevalence of physical inactivity was 63.1% for all participants, 63.9% for women and 61.9% for men, respectively. Participants who were older (OR=1.31, 95% CI 1.11 to 1.54), who were female (OR=1.22, 95% CI 1.04 to 1.43), who had higher education experience (OR=1.38, 95% CI 1.19 to 1.61), who are under economic pressure (OR=2.17, 95% CI 1.48 to 3.17), who ever smoked a cigarette (OR=1.44, 95% CI 1.13 to 1.82) and drank alcohol (OR=1.42, 95% CI 1.14 to 1.77), and participants in the lowest body mass index category (OR=1.40, 95% CI 1.03 to 1.89), were more likely to report physical inactivity.ConclusionsThese findings indicate that physical inactivity is prevalent in Southern China. Interventions and programmes aimed at increasing physical activity among middle-aged and older Chinese adults may also be tailored to participants under economic pressure and those with unhealthy behaviours such as smoking and drinking.

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“…According to some studies, PWE participate less in sports and have lower levels of fitness (Steinhoff et al, 1996;Arida et al, 2003;Wong and Wirrell, 2006;Hinnell et al, 2010). According to the results from the Canadian Community Health Survey Cycle 2.2 (2004)(2005), only less than half of Canadians (44% males and 42% females) aged >25 years were physically active (Liu et al, 2008). Some studies have shown that the rates of physical activity between patients with and without epilepsy is the same (Nakken, 1999;Elliott et al, 2008;Gordon et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

Obesity and its association with generalised epilepsy, idiopathic syndrome, and family history of epilepsy

Ladino

Hernández-Ronquillo

Téllez‐Zenteno

2014

Epileptic Disorders

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Aim. Previous studies support the concept that obesity is a common comorbid condition in patients with epilepsy (PWE). In this study, we present the body mass index (BMI) and data from a survey to assess physical activity in a sample of PWE from an epilepsy clinic. Methods. Between June of 2011 and January of 2013, 100 PWE from an adult epilepsy clinic were included. We obtained BMI, waist circumference, and information regarding physical activity using a standardised questionnaire. Clinical, demographic, electrographic, and imaging parameters were collected from charts. Results. Mean age of patients was 40±14 (18–77) years. The BMI distribution was as follows: 2 patients (2%) underweight, 26 (26%) normal weight, 34 (34%) overweight, 25 (25%) obese, and 13 (13%) with morbid obesity. In our study, obesity was defined as having a BMI ≥30. We found 38 (38%) patients in this range. There was no difference in the rate of drug‐resistant epilepsy between obese and non‐obese patients (55 vs. 55%; p=0.05). Leisure time habit was reported in 82% of obese patients and 79% of patients without obesity. Overall, the most frequent activity was walking (70%). Factors associated with obesity were generalised epilepsy (OR: 2.7, 1.1–6.6; p=0.012), idiopathic syndrome (OR: 2.7, 1.04–7; p=0.018), and family history of epilepsy (OR: 6.1, 1.5–24.2; p=0.002). Conclusion. Our study suggests an association between obesity, idiopathic generalised epilepsy, and family history of epilepsy. Our study shows that PWE are physically active and there is no clear relation between exercise and obesity. We could not identify any association between drug‐resistant epilepsy and obesity. Absence of direct comparison with a control non‐epileptic population; a cross‐sectional design not allowing evaluation of a causal association among variables; and reliance on self‐reported physical activity are to be considered as limitations of the present study.

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Physical inactivity in Canada: Results from the Canadian Community Health Survey Cycle 2.2 (2004–2005)

Cited by 12 publications

References 4 publications

Labor market effects of sports and exercise: Evidence from Canadian panel data

Labor market effects of sports and exercise: Evidence from Canadian panel data

Prevalence and risk factors of physical inactivity among middle-aged and older Chinese in Shenzhen: a cross-sectional study

Obesity and its association with generalised epilepsy, idiopathic syndrome, and family history of epilepsy

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