Prediction of depressive disorder using machine learning approaches: findings from the NHANES

BMC Medical Informatics and Decision Making, Journal Year: 2025, Volume and Issue: 25(1)

Published: Feb. 17, 2025

Depressive disorder, particularly major depressive disorder (MDD), significantly impact individuals and society. Traditional analysis methods often suffer from subjectivity may not capture complex, non-linear relationships between risk factors. Machine learning (ML) offers a data-driven approach to predict diagnose depression more accurately by analyzing large complex datasets. This study utilized data the National Health Nutrition Examination Survey (NHANES) 2013–2014 using six supervised ML models: Logistic Regression, Random Forest, Naive Bayes, Support Vector (SVM), Extreme Gradient Boost (XGBoost), Light Boosting (LightGBM). Depression was assessed Patient Questionnaire (PHQ-9), with score of 10 or higher indicating moderate severe depression. The dataset split into training testing sets (80% 20%, respectively), model performance evaluated accuracy, sensitivity, specificity, precision, AUC, F1 score. SHAP (SHapley Additive exPlanations) values were used identify critical factors interpret contributions each feature prediction. XGBoost identified as best-performing model, achieving highest highlighted most significant predictors depression: ratio family income poverty (PIR), sex, hypertension, serum cotinine hydroxycotine, BMI, education level, glucose levels, age, marital status, renal function (eGFR). We developed models for interpretation. identifies key associated depression, encompassing socioeconomic, demographic, health-related aspects.

Language: Английский

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Indirect Interventions: Lifestyle Options to Treat Mental Disorders

Healthcare, Journal Year: 2025, Volume and Issue: 13(5), P. 505 - 505

Published: Feb. 26, 2025

Mental disorders are highly prevalent worldwide. Unfortunately, most people with these do not receive any treatment. This is due in part to a large set of barriers (e.g., no access therapists or clinics, lack insurance, stigma) that impede seeking and obtaining mental health services. Many lifestyle interventions traditional services have indirect effects on reducing symptoms disorders. These target direct focus physical health, socialization, general well-being) but also significant impact article discusses as an additional way reaching need help problems. Interventions such activity exercise, diet, addressing sleep problems, yoga, tai chi, qigong, volunteering beneficial effects. highlights the scope illness background, introduces interventions, details three illustrations evidence targeting one improving The point category systematically used care Among their many advantages prospect use at levels individuals populations. Indirect replace current advances treatment add ways need.

Language: Английский

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Treating obesity in patients with depression: a narrative review and treatment recommendation

Postgraduate Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: March 19, 2025

The high morbidity of obesity and depression pose significant public health concerns, with the prevalence doubling in US between 1990 2022 patients frequently presenting both. Untreated can greatly impact patient well-being, as both are associated a number comorbidities including sleep apnea, type 2 diabetes mellitus, metabolic syndrome, dysfunction-associated steatotic liver disease, cardiovascular disease. This narrative review aims to provide comprehensive current overview overlapping etiologies well available treatment options that may be recommended by primary care professionals treat these concomitant depression. With considerable overlap population depression, neurobiological, hormonal, inflammatory pathways underlying diseases, should consider screening for Holistic options, lifestyle behavioral modifications, pharmacotherapy bariatric surgery critical manage conditions simultaneously. Therefore, due neurobiological mechanisms responsible incidence progression holistic plan strategies efficacy any additional improve clinical approach

Language: Английский

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Child and Adolescent Health Programs in Obesity and Depression: A Systematic Review and Meta-Analysis

Nutrients, Journal Year: 2025, Volume and Issue: 17(6), P. 1088 - 1088

Published: March 20, 2025

Obesity and depression are public health issues of increasing concern worldwide. This study aims to evaluate programs that address obesity their impact on depressive symptoms in children adolescents. share a bidirectional relationship, where each can serve as both cause consequence the other. Methods: A systematic review meta-analysis were conducted following PRISMA criteria, with registration recorded under PROSPERO code (CRD42024550644). The selected publications report intervention for adolescents aged 6 18 years. selection was from databases including PUBMED, SCOPUS, LILACS, COCHRANE, WOS, SciELO, ScienceDirect, using PICOS criteria define inclusion. ROB-2 ROBINS-1 applied assess bias. Results: Out 3376 articles reviewed, eight met inclusion some several programs. These varied duration type, demonstrating changes reducing Body Mass Index (BMI) symptoms. However, evidence supporting effectiveness conditions is limited, particularly developing countries. Additionally, results exhibit high heterogeneity due diversity evaluation methodological approaches, highlighting considerable risks Conclusions: Intervention management show statistically significant effects symptoms, although there designs standardization long-term follow-up strategies; however, evaluations consider DSM-5 ICD-11 which contributes homogeneity. It vital these closely related multidimensional perspective, considering socio-emotional psychological factors, promote early maximize enhance quality life at various stages development.

Language: Английский

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Is obesity associated with depression in low- and middle-income countries? Longitudinal evidence from Indonesia

International Journal of Obesity, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Language: Английский

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