What is the relationship between physical activity and cardiovascular risk factors in stroke survivors post completion of rehabilitation? Protocol for a longitudinal study

Physical activity time and lifestyle correlates of cardiovascular disease status in older adults in Accra

Aim

The maintenance of physical activity (PA) over the life course is considered a hallmark for ageing well, but individuals who practice PA also often pursue lifestyles (e.g., smoking) that may inhibit the medicinal impact of PA on them. PA is said to protect against cardiovascular diseases (CVDs), but the literature has little to say about the impact of PA on the risk of CVDs when it is associated with lifestyle factors, comorbidities, and personal characteristics. This study aimed to assess the association between PA time and CVDs, with relevant lifestyle factors, comorbidities, and personal characteristics treated as covariates.

Subject and methods

The study’s population was retired and working older people aged 60 years or more in Accra, Ghana. A total of 686 individuals responded to self-reported questionnaires. Pearson’s chi-square test and binary logistic regression were used to present findings.

Results

The study found that the risk of having one or more CVDs increases as time spent in moderate and vigorous PA increases, whereas individuals who drank alcohol a few days a week or most days a week are respectively 2 (OR = 2.415; p = 0.037) and 22 (OR = 21.933; p = 0.000) times more likely to have one or more CVDs compared to those who never drank alcohol.

Conclusion

Health education should not only encourage PA maintenance but should also make individuals aware of the need to avoid unhealthy behaviours to maximize the positive effect of PA on health.

How Many Hours of Device Wear Time Are Required to Accurately Measure Physical Activity Post Stroke?

Background. Inadequate physical activity participation is a risk factor for secondary stroke. Before implementing appropriate management strategies, we need to accurately measure the physical activity of stroke survivors. We aimed to determine the duration of physical activity monitoring post-stroke that constitutes a valid day. Methods. We sampled stroke survivors’ physical activity for one week following discharge from inpatient rehabilitation using the Sensewear Armband (Bodymedia, Pittsburgh, PA, USA). To determine the impact of total daily wear time on activity estimate (sedentary, light, and moderate to vigorous physical activity) accuracy, we performed simulations, removing one, two, three, or four hours from a 14-h reference day, and analysed them with linear mixed models. Results. Sixty-nine participants (46 male, 65 ± 15 years) with 271 days of physical activity data were included. All physical activity variables were significantly underestimated for all data sets (10, 11, 12, or 13 h) compared to the 14-h reference data set. The number of days classified as not meeting physical activity recommendations increased as daily monitoring duration decreased: 13% misclassification with 10-h compared to 14-h dataset (p = 0.011). Conclusions. The accuracy of physical activity estimates increases with longer daily monitoring periods following stroke, and researchers should aim to monitor post-stroke physical activity for 14 daytime hours.