Prevalence of Physical Activity Among Lebanese Adults: A Cross-Sectional Study

Al-Tannir, Mohamad; Kobrosly, Samer; Itani, Taha; El-Rajab, Mariam; Tannir, Sawsan

doi:10.1123/jpah.6.3.315

Cited by 20 publications

(28 citation statements)

References 24 publications

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“…Cross-sectional studies report mixed results concerning the relationship between marital status and PA, although it is often an inverse relationship, where married individuals are less physically active than those who are unmarried [43]. This study showed that, both in the urban site and overall, a higher proportion of single participants engaged in moderate-to-vigorous PA than those who were divorced or separated, and comparable results to these were reported by a study in Lebanon [44].…”

Section: Discussionmentioning

confidence: 99%

Prevalence and socio-demographic correlates of physical activity levels among South African adults in Cape Town and Mount Frere communities in 2008-2009

et al. 2016

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BackgroundPhysical activity has been linked to reduced risk of various cardiometabolic disease, cancer, and premature mortality. We investigated the prevalence and socio-demographic correlates of physical activity among adults in urban and rural communities in South Africa. Methods: This was a cross-sectional survey comprising 1733 adults aged ≥35 years from the Cape Town (urban) and Mount Frere (rural) sites of the Prospective Urban Rural Epidemiology study. Physical activity was assessed using the validated International Physical Activity Questionnaire. Multinomial logistic regressions were used to relate physical activity with socio-demographic characteristics.ResultsOverall, 74% of participants engaged in moderate-to-vigorous physical activity. In the adjusted regression models, women were 34% less likely to engage in vigorous physical activity (OR =0.66, 95%-CI = 0.47-0.93). Physical activity decreased with age, varied with marital status, education and occupation, always in differential ways between urban and rural participants (all interactions p ≤ 0.047). For instance, in urban settings, those with secondary education were more likely to engage in moderate physical activity (OR = 2.06, 95%-CI = 1.08-3.92) than those with tertiary education. Single people were more likely to engage in high physical activity (OR = 2.10, 95%-CI = 1.03-4.28) than divorced. Overall, skilled participants were more likely to engage in vigorous physical activity (OR = 2.07, 95%-CI = 1.41-3.05) driven by significant effect in rural area (OR = 2.70, 95%-CI = 1.51-4.83). Urban participants were more likely to engage in moderate physical activity (OR = 1.67, 95%-CI = 1.31-2.13) than rural participants.ConclusionsTo prevent chronic diseases among South Africans, attention should be paid to specific policies and interventions aimed at promoting PA among young adults in rural and urban setting, and across the social-economic diversity.

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Section: Discussionmentioning

confidence: 99%

Prevalence and socio-demographic correlates of physical activity levels among South African adults in Cape Town and Mount Frere communities in 2008-2009

et al. 2016

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“…Tohme and colleagues [21] estimated the prevalence rate of daily exercise for 30 minutes in a nationally representative sample of 2,125 subjects at 20.4%. A cross sectional study conducted among 346 adults 18 years and over selected from large stores across all governorates yielded a much higher estimate (55%) [22]. Findings from the WHO STEPwise surveys in countries of the MENA region also show a wide range of prevalence estimates of physical activity, varying between 13.2% and 78.4% [23].…”

Section: Discussionmentioning

confidence: 99%

Physical activity in adults with and without diabetes: from the ‘high-risk’ approach to the ‘population-based’ approach of prevention

et al. 2013

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BackgroundThe prevalence rates of physical inactivity and diabetes in the MENA region are among the highest in the world. However, studies that focus on factors that influence the pattern of physical activity in the region remain very scarce. This study aimed to determine the prevalence and correlates of physical activity in the general population and among subjects with and without diabetes in Lebanon, a small middle-income country in the MENA region.MethodsWe conducted a cross-sectional nation-wide study of 2,195 randomly selected adults aged 25 years and older. Participants completed a comprehensive questionnaire based on the WHO-STEPwise guidelines. Physical activity was assessed using the International Physical Activity Questionnaire. Type 2 diabetes risk factors examined were age ≥ 45 years, BMI ≥ 25 kg/m2, hypertension, hyperlipidemia, cardiovascular disease and family history of diabetes.ResultsClose to 10% of adults with diabetes were physically active versus 23·4% without diabetes. Prevalence rates of physical activity declined consistently as the number of diabetes risk factors increased. Odds ratios for physical activity were lower among the educated (0.75, 95% CI= 0.57–0.98), those who owned at least one car (0.71, 95% CI= 0.57–0.88) and those who resided in the capital city (0.62, 95% CI 0.47–0.83). Health professionals gave ‘advice to exercise’ most to patients with or at highest risk for diabetes, and these were more likely to engage in physical activity than those without diabetes receiving the same advice, net of the effect of other covariates (OR=3.68 and 1.17, respectively).ConclusionsThe inverse associations between physical activity and SES indicators suggest a negative influence of urbanization on activity levels of Lebanese adults. The missed opportunity for clinical primary preventive services for the majority non-diabetic population calls for population-based public health approaches that promote physical activity as a routine lifestyle in the general population.

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“…Population studies have been conducted in developed and developing countries on physical activity and health-related factors among the elderly [14-18]. However, few published studies have specifically investigated physical activity level determinants, among older adults in Brazil [7,8,19,20].…”

Section: Introductionmentioning

confidence: 99%

Health-related factors correlate with behavior trends in physical activity level in old age: longitudinal results from a population in São Paulo, Brazil

et al. 2010

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BackgroundPhysical inactivity in leisure time is common among elderly in Brazil and this finding is particularly alarming considering that this population is greatly affected by chronic diseases. The identification of health factors that influence physical activity level (PAL) will help in the development of strategies for increasing PAL older adults. The current research aimed to identify variables that independently affect behavior trends in PAL over the course of two years among elderly.MethodsA survey entitled the Epidoso Project ("Epidemiology of aging") studied 1,667 community-based older individuals in São Paulo city, Brazil over the course of two years. Physical activity level was determined through questions about frequency and duration of physical activities. Body Mass Index was calculated; functional capacity was assessed through the ADL (activities of daily living) scale; cognition was assessed by Mini-Mental State Examination; and mental health was assessed through the Dysthymia Screening. Experiences of falls and fractures were also assessed. Subjects were divided into three groups according to their self-report of Physical Activity Level: a - Regularly Active; b - Insufficiently Active and c - Physically Inactive. Behavior trends in PAL were also measured after two years. Multivariate regression model methodology was used to test associations longitudinally.ResultsResults from the final model demonstrated that the risk of a not favorable behavior trend in PAL, which included the group who remained physically inactive and the group that displayed decreased PAL, in this cohort of older adults was significantly increased if the individual was female (OR = 2.50; 95% CI = 1.60-3.89; P < 0.01), older (80 y vs. 65 y, OR = 6.29, 95% CI = 2.69-14.67; P < 0.01), dependent on help from others for activities in the ADL scale (moderate-severe = 4-7+ vs. 0 ADLs) (OR = 2.25, 95% CI = 1.20-4.21; P < 0.011) or had experienced a history of falls with consequences (OR = 6.88, 95% CI = 0.91-52.01; P < 0.062).ConclusionsAge, gender, ADL scores and falls were associated with a not favorable behavior trend in PAL. Promotion programs should target these factors, reducing barriers to achieve desired changes in PAL.

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Prevalence of Physical Activity Among Lebanese Adults: A Cross-Sectional Study

Cited by 20 publications

References 24 publications

Prevalence and socio-demographic correlates of physical activity levels among South African adults in Cape Town and Mount Frere communities in 2008-2009

Prevalence and socio-demographic correlates of physical activity levels among South African adults in Cape Town and Mount Frere communities in 2008-2009

Physical activity in adults with and without diabetes: from the ‘high-risk’ approach to the ‘population-based’ approach of prevention

Health-related factors correlate with behavior trends in physical activity level in old age: longitudinal results from a population in São Paulo, Brazil

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