Objective: Excessive sedentary behavior in youth is a major global issue, contributing to the rise in childhood obesity and metabolic diseases. International public health authorities have issued guidelines recommending that children and adolescents limit their daily sedentary time, including screen time. However, to date, no studies have explored the relationship between sedentary behavior as an exposure factor and skeletal muscle strength and mass as outcomes in this population. The present study investigated the association of sedentary behavior with handgrip strength (HGS) and appendicular lean mass (ALM) among US adolescents.

Methods: A total of 1,449 adolescent participants from the National Health and Nutrition Examination Survey (2011-2014) were included. Information on sedentary behavior, specifically daily sedentary time, was obtained through a self-reported questionnaire. Muscular parameters, including HGS and ALM, were measured. To adjust for differences in body size, these parameters were divided by body mass index (BMI) and weight. Linear regression analyses were performed to evaluate the associations between daily sedentary time and each muscular parameter, adjusting for age, sex, ethnicity, annual family income, and moderate-to-vigorous physical activity (MVPA).

Results: The linear regression analyses revealed negative associations between daily sedentary time and all muscular parameters, apart from absolute ALM. These included HGS (β=-0.2652, standard error [SE]=0.0740; p=0.0011), HGS/BMI (β=-0.0215, SE=0.0044; p<0.0001), HGS/weight (β=-0.0079, SE=0.0016; p<0.0001), ALM/BMI (β=-0.0083, SE=0.0030; p=0.01), and ALM/weight (β=-0.0030, SE=0.0010; p=0.0047).

Conclusions: After adjusting for MVPA, daily sedentary time was inversely associated with HGS, HGS/BMI, HGS/weight, ALM/BMI, and ALM/weight in US adolescents.

Download full-text PDF

Source
http://dx.doi.org/10.3961/jpmph.24.614DOI Listing

Publication Analysis

Top Keywords

sedentary behavior
16
daily sedentary
16
sedentary time
16
association sedentary
8
skeletal muscle
8
muscle strength
8
strength mass
8
national health
8
health nutrition
8
nutrition examination
8

Similar Publications

Background: Retention of weight postpartum increases risk for long-term morbidity, including cardiometabolic disease. Although retained weight postpartum is a complex problem, interventions generally address individual diet and activity behaviors.

Objectives: We investigated the impact of social-network factors on postpartum health behaviors and weight.

View Article and Find Full Text PDF

Purpose: Sedentary behavior (SB) contributes to the heightened risk of cardiovascular disease (CVD) in endometrial cancer survivors (ECS). This feasibility study aimed to evaluate key outcomes to assess the practicality of SB reduction interventions for ECS. Secondary aims included SB domain assessment and preliminary efficacy testing of the relationship between SB and arterial stiffness.

View Article and Find Full Text PDF

Self-reported physical activity is associated with lower brain food cue responsiveness in reward-related regions, but relationships utilizing objective physical activity measurement tools have not been explored. This cross-sectional study examined whether device-measured moderate-to-vigorous intensity physical activity and sedentary time are related to neural responses to visual food cues using functional magnetic resonance imaging. Fifty-one healthy adults (30 men, 21 women; mean ± SD: age 26 ± 6 years; body mass index 24.

View Article and Find Full Text PDF

Background: Abdominal adipose tissue consists of visceral and subcutaneous fat deposits, each with unique metabolic and functional properties. Identifying the characteristics that influence different obesity phenotypes can support targeted prevention and intervention strategies.

Objective: To identify predictive factors associated with visceral and subcutaneous adipose tissue accumulation.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!