This study examined individual variation in change over time in sedentary behaviour and factors associated with higher or lower sedentary behaviour and change in sedentary behaviour in 110 toddlers from 18 to 36 months of age. Mother/child dyads were recruited into the study when children were 6 months of age. Mothers completed surveys, and children were measured at 6-month intervals to 36 months. Children wore accelerometers for one week at each time point, and height and weight were measured. Growth curve modelling examined relationships between demographic, early life, and environmental factors and sedentary behaviour from 18 to 36 months. Fifty-one percent of the children were boys. The trajectory of sedentary behaviour increased from 18 to 24 months then declined. Children with higher sedentary behaviour were less likely to be enrolled in daycare ( < 0.05), and they engaged in higher TV/electronic media use ( < 0.05). Children with lower sedentary behaviour were more likely to have been breastfed ( < 0.05). Children with higher locomotion scores at 6 months were less sedentary at 18 months ( < 0.05), but this difference diminished over time. Mothers should be encouraged to breastfeed, limit their child's TV/electronic media use, and provide opportunities for their young children to be physically active.
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http://dx.doi.org/10.1080/02640414.2024.2430919 | DOI Listing |
Alzheimers Dement
December 2024
The Jackson Laboratory, Bar Harbor, ME, USA.
Background: Late-onset Alzheimer's disease (LOAD) is the leading cause of dementia and a major contributor to increased mortality. Recent human datasets have revealed many LOAD genetic risk factors that are correlated with the degree of AD burden. Further, the complexity and heterogeneity of LOAD appears to be promoted by interactions between genetics and environmental factors such as diet, sedentary behavior, and exposure to toxicants, like lead (Pb), cadmium (Cd), and arsenic (As).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Centre for Brain Research, Indian Institute of Science, Bangalore, Karnataka, India.
Background: Evidence from multiple converging sources has demonstrated the clear benefits of physical activity in promoting mental health and improving cognitive function. However, more than 54% of Indians do not engage in the recommended amount of physical activity. The present study aims to explore the association of physical activity with cognitive abilities among the elderly aging population in an urban Indian setting.
View Article and Find Full Text PDFJMIR Diabetes
December 2024
Department of Physical Activity for Health, School of Psychological Sciences and Health, University of Strathclyde, 16 Richmond Street, Glasgow, G1 1XQ, United Kingdom, 44 07753324172.
Background: The prevalence of type 2 diabetes in adults worldwide is increasing. Low levels of physical activity and sedentary behavior are major risk factors for developing the disease. Physical activity interventions incorporating activity trackers can reduce blood glucose levels in adults diagnosed with type 2 diabetes.
View Article and Find Full Text PDFThe built and natural environment can facilitate (un)healthy behaviors in adolescence. However, most previous studies have focused on examining associations between singular aspects of the environment. This study examined the association between the mixture of health-promoting and health-constraining environmental features in a Healthy Location Index (HLI) and physical activity and screen time among adolescents.
View Article and Find Full Text PDFPublic Health Nurs
January 2025
Faculty of Nursing, Atatürk University, Erzurum, Turkey.
Purpose: The aim of this study was to examine the effect of motivational interview-based training on nutrition exercise behavior, sedentary behavior duration, and anthropometric outcomes in adolescents.
Method: This randomized controlled single-blind experimental study was conducted between January 2021 and March 2023. The research sample consisted of 76 adolescents with obesity (intervention: 38 and control: 38) determined by power analysis.
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