Objective: Compare the clustering of LBRs between urban and rural Algerian adolescents.
Design: Data of this cross-sectional study was derived from the Global School-based Health Survey (GSHS). A self-administered, anonymous questionnaire was filled out by 4532 adolescents (11-16 years), which addressed LBRs of NCDs. Life style behavioral risk factors (LBRs) clustering was measured by the ratios of observed (O) and expected (E) prevalence of one or more simultaneously occurring LBRs for urban and rural areas separately. Multivariate logistic regression was performed to examine the association of LBRs as dependent variable with demographic variables (location, age, gender).
Results: The most common LBR was physical inactivity (84.6%: 50.9% for urban and 49.1% for rural). Adolescents in urban areas had a higher prevalence of two (56.8% vs. 43.2%) and three and more (61.3% vs. 38.7%) LBRs than in rural areas. In urban areas, a significant positive association was found between (low fruit and vegetable consumption + physical inactivity) [2.06 (1.61-2.64)] and (high SB + smoking) [2.10 (1.54-2.76)], while (physical inactivity + high SB) [0.70 (0.54-0.91)] showed a significant negative association. In rural areas, (high SB + overweight/obesity) [1.49 (1.09-2.04)] had a significant positive association. While, (low fruit and vegetable consumption + high SB) [0.75 (0.60-0.94)], (physical inactivity + high SB) [0.65 (0.49-0.86)], and (physical inactivity + smoking) [0.70 (0.49-0.99)] had a negative association.
Conclusions: Several socio-demographic factors have been identified to play a role in LBRs clustering among Algerian adolescents. Results of the study suggest the development of intervention aiming to tackle different LBRs rather than focusing on a single LBR.
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http://dx.doi.org/10.3390/ijerph18137072 | DOI Listing |
Disabil Rehabil
January 2025
Department of Rehabilitation Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Purpose: To explore associations of environmental and personal factors, participation, and health-related quality of life (HR-QoL) with physical behavior (PB) after subarachnoid hemorrhage (SAH).
Materials And Methods: PB, expressed in duration and distribution of physical activity (PA; walking, running, cycling) and sedentary behavior (SB; lying/sitting) and PA intensity was assessed with the Activ8 accelerometer during 7 days. Environmental and personal factors (social influence, health-condition, illness-perception, self-efficacy, fatigue, mood, kinesiophobia, cognition, coping, sleep), participation and HR-QoL, were assessed with validated questionnaires.
Diabetol Int
January 2025
Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-Cho, Chuo-Ku, Kobe, Hyogo 650-0017 Japan.
Objective: To examine the validity of the International Physical Activity Questionnaire short form (IPAQ-SF) against an objective method for assessing physical activity (PA) in Japanese adults with type 1 diabetes (T1D).
Methods: This cross-sectional study included 126 adults with T1D (aged 20-74 years). The participants wore a triaxial accelerometer for 7 consecutive days and completed the IPAQ-SF (a recall survey for the last 7 days) on the day following the 7-day accelerometer period.
BMC Sports Sci Med Rehabil
January 2025
Department of Sport Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne, UK.
Background: Fatigue and inactivity are linked to decreased health-related quality of life (HRQoL) in chronic conditions. A multidimensional approach to activity pacing may improve HRQoL by promoting physical activity (PA) and alleviating fatigue. Addressing fatigue across chronic conditions is crucial, especially when underlying causes are unknown.
View Article and Find Full Text PDFFront Sports Act Living
January 2025
Department of Public Health and Sport Sciences, University of Inland Norway, Elverum, Norway.
Introduction: Physical inactivity is a global health challenge, exacerbated by increased screen time and sedentary behaviors. Enhancing physical activity levels at schools offers a promising approach to promote lifelong healthy habits.
Methods: This protocol paper outlines the MOVE12 pilot study, a 12-week intervention study designed to increase physical activity among Norwegian upper secondary school students through 6-7-min daily MOVE-breaks integrated into lessons.
Front Public Health
January 2025
Department of Nursing, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
Introduction: Osteoarthritis (OA) is a prevalent and debilitating disorder that affects the joints and has a complex array of causes. While sedentary behavior (SB) and physical activity (PA) have been implicated in OA risk, the relationship between these factors and OA development remains unclear. This study investigates the correlation and potential causality between SB, PA, and OA using both cross-sectional and Mendelian randomization (MR) analysis.
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