Four commonly suggested public health strategies to combat childhood obesity are limiting television viewing, encouraging daily physical activity, increasing fruit and vegetable intake, and increasing water consumption. This study examined the extent to which selected social cognitive theory constructs can predict these four behaviors in upper elementary Chinese children. A 55-item valid and reliable scale was administered to 282 fifth-graders. Minutes of physical activity was predicted by self-efficacy to exercise and number of times taught at school (R2 = 0.198). Hours of TV watching was predicted by self-efficacy of watching less than two hours of TV (R2 = 0.155). Glasses of water consumed was predicted by self-efficacy for drinking water, gender, and number of times taught about physical activity at school (R2 = 0.100). Servings of fruits and vegetables consumed was predicted by self-efficacy of eating fruits and vegetables (R2 = 0.197). Social cognitive theory offers a useful framework for designing primary prevention interventions to reduce childhood obesity.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.2190/RV25-395T-25N3-PN14 | DOI Listing |
J Behav Health Serv Res
January 2025
Rhode Island Department of Behavioral Healthcare, Developmental Disabilities & Hospitals, Cranston, RI, USA.
Research demonstrates a positive impact of Peer Based Recovery Support Services (PBRSS) facilitated by peer recovery specialists (PRS), who are people in recovery from behavioral health conditions (e.g., substance use disorders [SUD] and mental health conditions).
View Article and Find Full Text PDFNurs Health Sci
March 2025
College of Nursing, Jeonbuk National University, Jeonju, Republic of Korea.
The aim of this study was to develop and validate a predictive model to enhance self-management and quality of life in patients undergoing hemodialysis, using the Information-Motivation-Behavioral (IMB) skills model. A cross-sectional study design was employed, with data collected from 245 participants selected through convenience sampling from seven hemodialysis centers in the Republic of Korea. Data were gathered using a structured questionnaire and analyzed with descriptive statistics, Pearson's correlation coefficients, and path analysis, utilizing Statistical Package for the Social Sciences 27 and Amos 23.
View Article and Find Full Text PDFTurk Psikiyatri Derg
January 2025
Objective: The aim of this study was to examine the relationship of sharenting with variables that are theoretically related with the concept. Sharenting includes the basic motivation to share parental practices with others and can be associated with social comparison and parental selfefficacy. In this context, we hypothesized that the social comparison could be a mediating variable between parental self-efficacy and sharing.
View Article and Find Full Text PDFNeural Netw
January 2025
Medical Big Data Lab, Shenzhen Research Institute of Big Data, Shenzhen, 518172, China. Electronic address:
Accurately predicting intracerebral hemorrhage (ICH) prognosis is a critical and indispensable step in the clinical management of patients post-ICH. Recently, integrating artificial intelligence, particularly deep learning, has significantly enhanced prediction accuracy and alleviated neurosurgeons from the burden of manual prognosis assessment. However, uni-modal methods have shown suboptimal performance due to the intricate pathophysiology of the ICH.
View Article and Find Full Text PDFArch Orthop Trauma Surg
January 2025
Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Campus de Gualtar, Braga, 4710-057, Portugal.
Introduction: Total joint arthroplasties generally achieve good outcomes, but chronic pain and disability are a significant burden after these interventions. Acknowledging relevant risk factors can inform preventive strategies. This study aimed to identify chronic pain profiles 6 months after arthroplasty using the ICD-11 (International Classification of Diseases) classification and to find pre and postsurgical predictors of these profiles.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!