Physical Activity Status and Related Factors among Middle-Aged Women in West of Iran, Hamadan: A Cross-Sectional Study

Emdadi, Shohreh; Hazavehei, Seyed Mohammad Mehdi; Soltanian, Alireza; Bashirian, Saeed; Moghadam, Rashid Heidari

doi:10.5539/gjhs.v8n10p151

Cited by 7 publications

(6 citation statements)

References 28 publications

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“…Moreover, participants aged 35 to 44 demonstrated the least amount of insufficient PA, whereas those 75 years of age and older depicted the greatest levels. Consistent with previous studies, there is an inverse relationship between age and low PA, which has been identified as a significant determinant of PA [ 30 – 33 ]. Apparently, with increasing age, older people seem to be less motivated to be physically active and prefer quiet activities.…”

Section: Discussionsupporting

confidence: 90%

Prevalence of insufficient physical activity among adult residents of Tehran: a cross-sectional report from Tehran Cohort Study (TeCS)

Mossavarali,

Vaezi,

Heidari

et al. 2024

BMC Public Health

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Background Insufficient physical activity (PA) is a major risk factor for non-communicable diseases (NCDs) and one of the leading causes of premature mortality worldwide. This study examined the prevalence and independent determinants of insufficient PA among adults resident of Tehran utilizing Tehran Cohort Study Data (TeCS). Method We used the recruitment phase data from the TeCS with complete data on PA. PA was assessed through a Likert-scaled question and categorized into three groups. Utilizing data from the 2016 national census, the age- and sex-weighted prevalence of insufficient PA in Tehran was determined. The adjusted logistic regression model is used to neutralize influencing factors and determine the factors associated with insufficient PA. Result The weighted prevalence of insufficient PA was 16.9% among the 8213 adult citizens of Tehran, with a greater prevalence among females (19.0% vs. 14.8% among males). Additionally, older age groups, unemployed, housewives, and illiterate educated participants displayed a much higher prevalence of insufficient PA (p < 0.001). Moreover, Tehran’s central and southern districts had higher rates of insufficient PA. Concerning the adjusted regression model, older age (Odds ratio [OR]: 4.26, 95% confidence interval [95% CI]: 3.24–5.60, p < 0.001), a lower education level (p < 0.001), unemployment (OR: 1.80, 95% CI: 1.28–2.55, p = 0.001), being a housewife (OR: 1.44, 95% CI: 1.15–1.80, p = 0.002), higher body mass index (BMI) (OR for BMI > 30: 1.85, 95% CI: 1.56–2.18, p < 0.001), opium consumption (OR: 1.92, 95% CI: 1.46–2.52, p < 0.001), diabetes mellitus (OR: 1.25, 95% CI: 1.06–1.48, p = 0.008), hypertension (OR: 1.29, 95% CI: 1.11–1.50, p = 0.001), and coronary artery diseases (OR: 1.30, 95% CI: 1.05–1.61, p = 0.018), were significantly associated with insufficient PA. Conclusions The identified associated factors serve as a valuable guide for policymakers in developing tailored intervention strategies to address the needs of high-risk populations, particularly among older adults and females.

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Section: Discussionsupporting

confidence: 90%

Prevalence of insufficient physical activity among adult residents of Tehran: a cross-sectional report from Tehran Cohort Study (TeCS)

Mossavarali,

Vaezi,

Heidari

et al. 2024

BMC Public Health

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“…Similar results were also found in a study with a population with chronic obstructive pulmonary disease, where higher self-efficacy at baseline predicted a positive response in a six-minute walk test [38]. Another study among middle-aged women also found that self-efficacy was an important predictor for physical activity [39]. As baseline self-efficacy appears to be an important predictor of physical activity, the importance of support to improve self-efficacy at the beginning of an intervention is emphasised.…”

Section: Discussionsupporting

confidence: 80%

Predictors associated with an increase in daily steps among people with prediabetes or type 2 diabetes participating in a two-year pedometer intervention

Larsson,

Rossen,

Norman

et al. 2024

BMC Public Health

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Background This study aimed to explore predictors associated with intermediate (six months) and post-intervention (24 months) increases in daily steps among people with prediabetes or type 2 diabetes participating in a two-year pedometer intervention. Methods A secondary analysis was conducted based on data from people with prediabetes or type 2 diabetes from two intervention arms of the randomised controlled trial Sophia Step Study. Daily steps were measured with an ActiGraph GT1M accelerometer. Participants were divided into two groups based on their response to the intervention: Group 1) ≥ 500 increase in daily steps or Group 2) a decrease or < 500 increase in daily steps. Data from baseline and from six- and 24-month follow-ups were used for analysis. The response groups were used as outcomes in a multiple logistic regression together with baseline predictors including self-efficacy, social support, health-related variables, intervention group, demographics and steps at baseline. Predictors were included in the regression if they had a p-value < 0.2 from bivariate analyses. Results In total, 83 participants were included. The mean ± SD age was 65.2 ± 6.8 years and 33% were female. At six months, a lower number of steps at baseline was a significant predictor for increasing ≥ 500 steps per day (OR = 0.82, 95% CI 0.69–0.98). At 24 months, women had 79% lower odds of increasing ≥ 500 steps per day (OR = 0.21, 95% CI 0.05–0.88), compared to men. For every year of increase in age, the odds of increasing ≥ 500 steps per day decreased by 13% (OR = 0.87, 95% CI 0.78–0.97). Also, for every step increase in baseline self-efficacy, measured with the Self-Efficacy for Exercise Scale, the odds of increasing ≥ 500 steps per day increased by 14% (OR = 1.14, 95% CI 1.02–1.27). Conclusions In the Sophia Step Study pedometer intervention, participants with a lower number of steps at baseline, male gender, lower age or higher baseline self-efficacy were more likely to respond to the intervention with a step increase above 500 steps per day. More knowledge is needed about factors that influence response to pedometer interventions. Trial registration ClinicalTrials.gov, NCT02374788.

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“…Part of this has to do with the lack of culturalization for physical activity in Iranian people. Numerous articles support this topic Extensive epidemiological studies in Iranians confirm this (20)(21)(22). It seems that some patients with diabetes suffer from other concomitant diseases, such as heart disease and osteoarthritis and think that they are not capable of effective physical activity.…”

Section: Discussionmentioning

confidence: 89%

Evaluation of the relationship between different factors of self-management and control of diabetes in diabetic patients group

et al. 2021

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Introduction: Diabetes is one of the most common chronic diseases that severely affects the quality of life. Self-Management and glycemic control minimize the development and progression of diabetes’s complications. Objectives: We aimed to evaluate self-care behaviors and their relationship with hemoglobin A1c (HbA1c) level in patients with type 2 diabetes, using the Diabetes Self-Management Questionnaire (DSMQ). Patients and Methods: This is a cross-sectional study conducted on type 2 diabetic patients referred to the Shahid Beheshti hospital of Qom. A total of 325 patients with type-2 diabetes participate in the study. Diabetes self-management parameters were assessed using the translated (Persian) version of the DSMQ. Results: The mean score of self-management (±SD) in patients was 26.82 (±9.43). In addition, the mean HbA1c and fasting blood sugar (FBS) levels of the participants respectively were 8.35 (±1.97) and 187.25 (±77.51). There was a significant inverse correlation between self-management score metabolic control indices. (P<0.001). Health care use subscales have been best associated with better glycemic control (P<0.001) and physical activity had the least effect on it (P<0.001). Conclusion: The findings of this study revealed that there is a significant relationship between self-management indicators and control of diabetes.

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Physical Activity Status and Related Factors among Middle-Aged Women in West of Iran, Hamadan: A Cross-Sectional Study

Cited by 7 publications

References 28 publications

Prevalence of insufficient physical activity among adult residents of Tehran: a cross-sectional report from Tehran Cohort Study (TeCS)

Prevalence of insufficient physical activity among adult residents of Tehran: a cross-sectional report from Tehran Cohort Study (TeCS)

Predictors associated with an increase in daily steps among people with prediabetes or type 2 diabetes participating in a two-year pedometer intervention

Evaluation of the relationship between different factors of self-management and control of diabetes in diabetic patients group

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