Background: To investigate the geographical distribution of physical activity (PA) prevalence among adults aged 15–64 years old across Iran provinces using geographic maps. Methods: Data from 4 consecutive national surveys conducted between 2007 and 2010 were pooled to determine the geographical distribution. Prevalence of low PA with 95% confidence interval was estimated by sociodemographic subpopulations over provinces using complex survey design. Results: In total, 119,560 participants (49.9% females) were included in the analyses. The mean (SD) age of participants was 39.5 (14.3) years. The prevalence of the low PA in the pooled 2007–2010 was 35.8% (95% confidence interval, 34.1–37.6). The 3 provinces with the highest prevalence of low PA were Sistan and Baluchestan, Yazd, and Hormozgan. The results of hot spot analysis showed that the Kerman province was a hot spot, and Ilam, Kermanshah, Hamedan, and Markazi were cold spots for low PA. Ilam, Kohgiluyeh and Boyer-Ahmad, and Mazandaran had the highest total PA volume (metabolic equivalent minutes per week). Hot spot analysis showed that Ilam and Khuzestan provinces were hot spots for the total PA volume. Conclusions: The regions with low and high PA are predominately situated in the near center/southeast and west, respectively.
Mohammad Sahebkar, Hamid Heidarian Miri, Pardis Noormohammadpour, Amir Tiyuri, Reza Pakzad, Nasrin Mansournia, Zahra Heidari, Mohammad Ali Mansournia, and Emmanuel Stamatakis
Elif Inan-Eroglu, Bo-Huei Huang, Leah Shepherd, Natalie Pearson, Annemarie Koster, Peter Palm, Peter A. Cistulli, Mark Hamer, and Emmanuel Stamatakis
Background: Thigh-worn accelerometers have established reliability and validity for measurement of free-living physical activity-related behaviors. However, comparisons of methods for measuring sleep and time in bed using the thigh-worn accelerometer are rare. The authors compared the thigh-worn accelerometer algorithm that estimates time in bed with the output of a sleep diary (time in bed and time asleep). Methods: Participants (N = 5,498), from the 1970 British Cohort Study, wore an activPAL device on their thigh continuously for 7 days and completed a sleep diary. Bland–Altman plots and Pearson correlation coefficients were used to examine associations between the algorithm derived and diary time in bed and asleep. Results: The algorithm estimated acceptable levels of agreement with time in bed when compared with diary time in bed (mean bias of −11.4 min; limits of agreement −264.6 to 241.8). The algorithm-derived time in bed overestimated diary sleep time (mean bias of 55.2 min; limits of agreement −204.5 to 314.8 min). Algorithm and sleep diary are reasonably correlated (ρ = .48, 95% confidence interval [.45, .52] for women and ρ = .51, 95% confidence interval [.47, .55] for men) and provide broadly comparable estimates of time in bed but not for sleep time. Conclusions: The algorithm showed acceptable estimates of time in bed compared with diary at the group level. However, about half of the participants were outside of the ±30 min difference of a clinically relevant limit at an individual level.