A cross-sectional study of barriers to physical activity among overweight and obese patients with type 2 diabetes in Iran

Halali, Faranak; Mahdavi, Reza; Jafarabadi, Mohammad Asghari; Mobasseri, Majid; Namazi, Nazli

doi:10.1111/hsc.12263

Cited by 15 publications

(16 citation statements)

References 32 publications

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“…It has been recommended that moderate to vigorous physical activity can reduce the risk of chronic diseases such as diabetes and its complications [65][66][67]. Health counsellors should address these barriers to increase the patients' adherence to physical activity as the recommendations [41]. Our current results showed that physical activities (PC 2 ) were associated with a decreased risk of diabetes.…”

Section: Discussionmentioning

confidence: 52%

“…To the best of our knowledge, few studies have used PCA to address the physical activity. For example, one study conducted exploratory principal components factor analyses of influences on physical activity instrument [40]; another study used PCA to extract the factors of barriers with physical activity level [41].…”

Section: Discussionmentioning

confidence: 99%

“…For example, high levels of physical activities are associated with reduced risk of diabetes; however, some patients at risk for diabetes were inactive [40,41]. On the other hand, as shown previously, higher intakes of fruit, berries, and vegetables have been associated with reduced risk of diabetes in some observational studies; however, the evidence is limited and inconclusive [42].…”

Section: Introductionmentioning

confidence: 97%

“…For example, PCA has been used to examine dietary patterns with diabetes in the US adults [33], Chinese population [34][35][36][37], and Japanese population [38,39]. It is also used to investigate the relationship between the physical activity and diabetes [38,40,41].…”

Section: Introductionmentioning

confidence: 99%

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Principal Component Regression Analysis of Nutrition Factors and Physical Activities with Diabetes

Wang¹,

Liu²,

Xie³

et al. 2017

J Biom Biostat

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The associations of nutrition factors and physical activities with adult diabetes are inconsistent; while most of these factors are inter correlated. The aims of this study are to overcome the disturbance of the multicollinearity of the risk factors and examine the associations of these factors with diabetes using the principal component analysis (PCA) and regression analysis with principal component scores (PCS). Totally, 659 adults with diabetes and 2827 non-diabetic were selected from the 2012 Health Information National Trends Survey (HINTS 4, Cycle 2). PCA was utilized to deal with multicollinearity of the risk factors. Weighted univariate and multiple logistic regression analyses were used to estimate the associations of potential factors and PCS with diabetes. The odds ratios (ORs) with 95% confidence intervals (CIs) were estimated. The first 3 PCs for nutrition factors and physical activities could explain 70% variances. The first principal component (PC 1 ) is a measure of nutrition factors (fruit and vegetables consumption), PC 2 is a measure for physical activities (moderate exercise and strength training), and PC3 is about calorie information use and soda use. Weighted multiple logistic regression showed that African Americans, middle aged adults (45-64 years), elderly (65+), never married, and with lower education were associated with increased odds of diabetes. After adjusting for others factors, the PC 1 showed marginal association with diabetes (OR=0.84, 95% CI=0.70-1.01); while PC 2 and PC 3 revealed significant associations with diabetes (OR=0.73, 95% CI=0.61-0.86 and OR=0.85, 95% CI=0.74-0.99, respectively). In conclusion, PCA can be used to reduce the indicators in complex survey data. The first 3 PCs of nutrition factors and physical activities were associated with diabetes. Promotion of health food and physical activities should be encouraged to help decrease the prevalence of diabetes.

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Section: Discussionmentioning

confidence: 52%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Principal Component Regression Analysis of Nutrition Factors and Physical Activities with Diabetes

Wang¹,

Liu²,

Xie³

et al. 2017

J Biom Biostat

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“…A survey of 5167 persons in Canada aged 15–79 years found that educational attainment, family income, self-rated health, intentions, self-efficacy scores, perceived barriers, perceived health benefits, and facility availability were factors associated with physical activity behaviors 12. A cross-sectional study of overweight and obese persons in Iran with type 2 diabetes mellitus identified barriers to physical activity that included negative attitude toward physical activity, discouragement, physical problems, cost, and environmental factors 13. Barriers more specific to older obese and overweight persons with multiple chronic conditions, have not been identified.…”

Section: Introductionmentioning

confidence: 99%

Predictors of sedentary status in overweight and obese patients with multiple chronic conditions: a cohort study

Joven¹,

Croghan²,

Quigg³

et al. 2017

POR

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PurposeWalking may improve health in obese patients with multimorbidity. We aimed to identify predictors associated with achieving <5000 steps per day after 4 months.Patients and methodsWe conducted a cohort study of 125 adult patients with a body mass index >25 kg/m2 and ≥7 comorbidities. We evaluated potential predictors for <5000 steps per day using logistic regression and adjusting for age >65 years and sex.ResultsThe mean (range) age was 63.6 (20.3–89.8) years. Daily step counts <5000 at baseline showed the highest risk of <5000 daily steps at 4 months (odds ratio [OR] 31.82, 95% confidence interval [CI]: 12.14–95.50). Other significant characteristics were physical quality of life (OR 6.21, 95% CI: 2.32–18.54), gait speed <1 m/s (OR 2.57, 95% CI: 1.18–5.71), age ≥65 years (OR 2.21, 95% CI: 1.05–4.77), waist circumference ≥102 cm (OR 2.48, 95% CI: 1.05–6.06), and body mass index ≥30 kg/m2 (OR 2.69, 95% CI: 1.20–6.26).ConclusionNew models to increase walking may be required for higher-risk patients.

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Physical activity levels, its barriers, and associated factors among the patients with type 2 diabetes residing in the capital city of Bangladesh

et al. 2020

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Introduction The purpose of this study was to determine the level of physical activity (PA), its barriers, and the associated factors among the patients with type 2 diabetes (T2DM) in Bangladesh. Methods This cross‐sectional study recruited 215 patients with T2DM who visited the Bangladesh Institute of Health Sciences General Hospital from January to December 2019. Their PA level and its barriers were detected using the Global Physical Activity Questionnaire and the Barriers to Being Active Quiz, respectively. The PA levels and their barriers were presented using descriptive statistics. The associated factors of PA were identified using the multinomial logistic regression analysis. Results Nearly one third of the study subjects (31.2%) were physically inactive. Among the active subjects (68.8%), more than half were moderately active (46%) and rest (22.8%) were engaged in vigorous PA. In the reported barriers of PA, half of the respondents considered “lack of willpower” as the major barrier followed by “lack of energy” (39.4%) and “lack of time” (36.7%). The associated factors of PA level were the occupational status (employed), monthly income, and the personal barrier “lack of time.” Conclusion A significant portion of Bangladeshi patients did not meet the recommended PA and several personal barriers were identified as the contributing factors of this inactivity. It demands intervention to motivate them to increase PA and their commitment to time management. Future research could clarify the current finding more precisely using the objective measurement of PA in a large sample of patients with T2DM.

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A cross-sectional study of barriers to physical activity among overweight and obese patients with type 2 diabetes in Iran

Cited by 15 publications

References 32 publications

Principal Component Regression Analysis of Nutrition Factors and Physical Activities with Diabetes

Principal Component Regression Analysis of Nutrition Factors and Physical Activities with Diabetes

Predictors of sedentary status in overweight and obese patients with multiple chronic conditions: a cohort study

Physical activity levels, its barriers, and associated factors among the patients with type 2 diabetes residing in the capital city of Bangladesh

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