Background: It is commonly believed that overweight children are unhappy with their weight. However, population-based data addressing this association are lacking.
Objectives: To evaluate the association between obesity and depressive symptoms in a diverse, school-based sample of preadolescent children, and to examine whether overweight concerns play a role in this association.
Design, Setting, And Participants: Third-grade students (N = 868, mean age, 8.4 years) attending 13 public elementary schools in Northern California were measured for weight and height, and were asked to complete self-report assessments of depressive symptoms and overweight concerns.
Results: A modest association between depressive symptoms and body mass index (BMI; calculated as weight in kilograms divided by the square of height in meters) was found for girls (r = 0.14, P<.01), but not for boys (r = 0.01, P<.78). Among girls, depressive symptoms were strongly associated with overweight concerns (r = 0.32, P<.001). After controlling for level of overweight concerns, BMI was no longer significantly associated with depressive symptoms among girls. In contrast, after controlling for BMI, overweight concerns remained significantly associated with depressive symptoms.
Conclusions: This study provides cross-sectional evidence for a relationship between depressive symptoms and BMI in preadolescent girls, but not in preadolescent boys. This relationship seems to be explained by an excess of overweight concerns. Assessing overweight concerns may be a useful method to identify those overweight girls who are at highest risk for associated depressive symptoms.
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http://dx.doi.org/10.1001/archpedi.154.9.931 | DOI Listing |
Disabil Rehabil
January 2025
Clinic Institute of Medical and Surgical Specialties (ICEMEQ), Hospital Clinic of Barcelona, Barcelona, Spain.
Purpose: Adherence to home rehabilitation following total knee arthroplasty (TKA) is essential to reach optimal functional outcomes, especially in fast-track procedures. The aim of this study is to identify which sociodemographic and health factors significantly affect adherence in this context.
Methods: This is a secondary analysis of a randomized controlled trial with 52 patients.
Appl Neuropsychol Adult
January 2025
Faculty Xavier Institute of Engineering, Mahim, India.
In the fields of engineering, science, technology, and medicine, artificial intelligence (AI) has made significant advancements. In particular, the application of AI techniques in medicine, such as machine learning (ML) and deep learning (DL), is rapidly growing and offers great potential for aiding physicians in the early diagnosis of illnesses. Depression, one of the most prevalent and debilitating mental illnesses, is projected to become the leading cause of disability worldwide by 2040.
View Article and Find Full Text PDFJMIR Ment Health
January 2025
Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States.
Background: Mental health concerns have become increasingly prevalent; however, care remains inaccessible to many. While digital mental health interventions offer a promising solution, self-help and even coached apps have not fully addressed the challenge. There is now a growing interest in hybrid, or blended, care approaches that use apps as tools to augment, rather than to entirely guide, care.
View Article and Find Full Text PDFJ Am Coll Health
January 2025
Edna Bennett Pierce Prevention Research Center, The Pennsylvania State University, University Park, Pennsylvania, USA.
The purpose of the study was to test whether associations between affect variability and mental health (i.e., anxiety symptoms, depressive symptoms, flourishing) differ by mean levels of affect during the COVID-19 pandemic.
View Article and Find Full Text PDFJ Am Coll Health
January 2025
Division of Behavioral and Organizational Sciences, Claremont Graduate University, Claremont, California, USA.
: This research effort developed, implemented, and evaluated an inexpensive poster campaign designed to influence on-campus mental health culture and stigma. : 124 students at a Californian graduate-only university participated in the evaluation. : A single-group, pretest-posttest, quasi-experimental design tested the effect of exposing graduate students to posters carrying attribution-based messages.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!