Purpose: Depression and health risk behaviors in adolescents are leading causes of preventable morbidity and mortality. Primary care visits provide prime opportunities to screen and provide preventive services addressing risk behaviors/conditions. This study evaluated the co-occurrence of depression and health risk behaviors (focusing on smoking, drug and alcohol misuse, risky sexual behavior, and obesity-risk) with the goal of informing preventive service strategies.
Methods: Consecutive primary care patients (n=217), ages 13 to 18 years, selected to over-sample for depression, completed a Health Risk Behavior Survey and the Diagnostic Interview Schedule for Children and Adolescents (DISC) depression module.
Results: Youths with DISC-defined past-year depression were significantly more likely to report risk across multiple risk-areas, Wald X(1)=14.39, p<.001, and to have significantly higher rates of past-month smoking, X(1)=5.86, p=.02, substance misuse, X(1)=15.12, p<.001, risky sex, X (1) =5.04, p=.03, but not obesity-risk, X (1) =0.19, p=.66. Cross-sectional predictors of risk behaviors across risk areas were similar. Statistically significant predictors across all risk domains included: youths' expectancies about future risk behavior; attitudes regarding the risk behavior; and risk behaviors in peers/others in their environments.
Conclusions: Depression in adolescents is associated with a cluster of health risk behaviors that likely contribute to the high morbidity and mortality associated with both depression and health risk behaviors. Consistent with the United States National Prevention Strategy (2011) and the focus on integrated behavioral and medical health care, results suggest the value of screening and preventive services using combination strategies that target depression and multiple areas of associated health risk.
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http://dx.doi.org/10.4172/2167-1079.1000152 | DOI Listing |
Genet Med
December 2024
Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN; Center for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN. Electronic address:
Purpose: The value of genetic information for improving the performance of clinical risk prediction models has yielded variable conclusions. Many methodological decisions have the potential to contribute to differential results. We performed multiple modeling experiments integrating clinical and demographic data from electronic health records (EHR) with genetic data to understand which decisions may affect performance.
View Article and Find Full Text PDFJ Eval Clin Pract
February 2025
College of Medicine, University of Central Florida, Orlando, Florida, USA.
Aims And Objectives: Approximately 50% of Americans report having low health insurance literacy, leading to uncertainty when choosing their insurance coverage to best meet their healthcare needs. Therefore, we aimed to evaluate the association between lack of prescription drug benefit knowledge and problems paying medical bills among Medicare beneficiaries.
Methods: We analysed the 2021 Medicare Current Beneficiary Survey Public Use File of 5586 Medicare beneficiaries aged ≥ 65 years.
J Eval Clin Pract
February 2025
Initiative for Slow Medicine, Berkeley, California, USA.
Appropriate patient reassurance is an essential feature of clinical practice. My recent experience as a patient, interpreted via my expertise as a health services researcher, led me to insights on ideal and suboptimal reassurance styles in the context of worrisome symptoms. Reassurance is complex: often poorly defined in the scientific literature, rarely rigorously studied, imperfectly understood, and requiring some adaptation to each patient situation.
View Article and Find Full Text PDFAm J Case Rep
December 2024
Department of Molecular Medicine and Surgery, Center for Molecular Medicine, Karolinska Institute, Stockholm, Sweden.
BACKGROUND Limb-girdle muscular dystrophy recessive 1 (LGMDR1) is an autosomal recessive degenerative muscle disorder characterized by progressive muscular weakness caused by pathogenic variants in the CAPN3 gene. Desmoplastic small round cell tumors (DSRCT) are ultra-rare and aggressive soft tissue sarcomas usually in the abdominal cavity, molecularly characterized by the presence of a EWSR1::WT1 fusion transcript. Mouse models of muscular dystrophy, including LGMDR1, present an increased risk of soft tissue sarcomas.
View Article and Find Full Text PDFMed Care
November 2024
Institute of Clinical Biometrics, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.
Background: Practice guidelines recommend patient management based on scientific evidence. Quality indicators gauge adherence to such recommendations and assess health care quality. They are usually defined as adverse event rates, which may not fully capture guideline adherence over time.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!