Prevalence of Depression in Older Adults and the Potential Protective Role of Volunteering: Findings From the LongROAD Study

Journal of the American Geriatrics Society, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

ABSTRACT Background As the US population continues to age, depression and other mental health issues have become a significant challenge for healthy aging. Few studies, however, examined prevalence of in community‐dwelling older adults United States. Methods Baseline data from Longitudinal Research on Aging Drivers study were analyzed examine correlates multisite sample aged 65–79 years who enrolled assessed between July 2015 March 2017. The Patient‐Reported Outcomes Measurement Information System (PROMIS) scale was used determine status. Results Of 2990 participants, 186 (6.2%) had at time assessment. Elevated found those 65–69 age (7.9%); women (7.2%); not married (8.1%); attained an education high school or less (8.3%); annual household incomes than $50,000 (10.7%). Older with positive history chronic medical conditions (e.g., diabetes mellitus anxiety) significantly higher whereas engaged volunteering activities lower depression. With adjustment demographic characteristics comorbidities, associated 43% reduction odds (adjusted ratio: 0.57, 95% confidence interval 0.40–0.81). Conclusions point this States 6.2%, which varied comorbid conditions. Engagement might help reduce their risk

Language: Английский

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Understanding the bidirectional association between obesity and risk of psychological distress and depression in young adults in the US: available evidence, knowledge gaps, and future directions

Frontiers in Psychiatry, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 10, 2025

While the physical health effects of obesity are well-characterized, an emerging branch research has shown that additionally plays a critical role in one's mental health. Young adults, pivotal transition phase their lives, may be particularly prone to concurrent and adverse outcomes. The purpose this review is comprehensively examine existing data regarding connection between two widely validated measures health: psychological distress depression. outcomes mediated by complex interplay biological sociocultural factors, which explored with particular focus on younger adults aged 20-39. Further, impact several demographic factors including race/ethnicity, gender, immigration status examined closely. To our knowledge, one first efforts integrate knowledge health, regard for young other key sociodemographic characteristics. This important implications at interface most pressing public crises United States.

Language: Английский

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Relationship between subjective well-being and depressive disorders: Novel findings of cohort variations and demographic heterogeneities

Frontiers in Psychology, Journal Year: 2023, Volume and Issue: 13

Published: Jan. 10, 2023

This paper uses a large-scale nationally representative dataset, the Chinese General Social Survey, to examine relationship between subjective well-being and depressive disorders. Statistical results indicate that higher levels of help decrease perceived depression. Robustness checks are carried out using different types explanatory dependent variables, various regression models, penalized machine learning methods, instrumental variable approaches, placebo tests, all which lend further credence above findings. Based on it, heterogeneities in self-rated mental disorders explored. In respect variations age cohorts, it is found absolute values happiness's estimated coefficients smaller 20-30 30-40 groups, while 40-50 group increase substantially. older estimates remain at fluctuating some degree. Furthermore, significantly negative interaction happiness proves amplifies well-being's effect With increasing, impact reducing depression tends be stronger. Therefore, for people, plays more important role suppressing Heterogeneities subgroups with demographic characteristics also investigated. It correlation stronger among those educational levels, living urban areas, being members Communist Party China, having pensions, owning housing assets. However, gender, ethnic identity, religious belief, marital status exert no significant moderating effects.

Language: Английский

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Relationship of the Prime Diet Quality Score (PDQS) and Healthy Eating Index (HEI-2015) with depression and anxiety: a cross-sectional study

BMC Public Health, Journal Year: 2024, Volume and Issue: 24(1)

Published: Oct. 22, 2024

Previous studies have suggested a significant association between diet quality and mental health. However, limited number of utilized the Prime Diet Quality Score (PDQS) to examine this association. Additionally, no study has yet compared PDQS Healthy Eating Index-2015 (HEI-2015) in terms their with depression anxiety. This cross-sectional aimed investigate quality, measured by HEI-2015, odds anxiety adults. data from LIPOKAP study, which was conducted February 2018 July 2019 five cities Iran. We included 1994 adults aged 18 above who were selected through multistage cluster sampling method. Participants completed validated semiquantitative food frequency questionnaire (FFQ) evaluate dietary intake. The FFQ used calculate HEI-2015. Depression levels determined using Hospital Anxiety Scale (HADS). participants had mean age 39.79 ± 13.87 years, females accounting for 1,041 (52.2%) total population. showed inverse (OR = 0.45, 95% CI: 0.28–0.71) 0.40, 0.25–0.62) fully adjusted model. Similarly, highest quartile HEI-2015 significantly lower 0.60, 0.40–0.90) 0.62, 0.42–0.92) lowest quartile. Both associated reduced risk demonstrated stronger these risks suggests that could be more beneficial pattern preventing Further large-scale are required confirm findings.

Language: Английский

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Socioeconomic disparities in depression risk: Limitations of the moderate effect of physical activity changes in Korea

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(2), P. e0314930 - e0314930

Published: Feb. 4, 2025

This study investigates the influence of changes in physical activity (PA) patterns on depression risk across different socioeconomic statuses (SES) Korea. Utilizing National Health Insurance Data (NHID) from over 1.2 million individuals during 2013–2016, we matched medical aid beneficiaries with health insurance beneficiaries, excluding those prior or incomplete PA data. Changes moderate-to-vigorous (MVPA) were categorized into 16 groups, and incidence was tracked 2019 to 2021. After adjustment, consistently showed higher risks compared enrollees same change patterns. For inactive, 1.68 times (aOR, 1.68; 95% CI, 1.37–2.05). Those who increased inactivity 3–4 per week had a 3.33 3.33; 1.72–6.43). Additionally, 2.64 for increasing 1–2 ≥5 2.64; 1.35–5.15), 2.83 engaging 2.83; 1.35–5.94). Across overall patterns, faced risks, increases 1.80 activity, continuous inactivity, 1.34 decreased However, very active group, no significant difference observed between two groups. Limitations include potential bias self-reported NHIS data not fully capturing severity. The findings underscore impact SES mental health, high levels potentially mitigating SES-related risk.

Language: Английский

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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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USE OF MULTIPLE INDICATORS MULTIPLE CAUSES (MIMIC) METHOD TO INVESTIGATE QUANTITATIVE INFERENCE IN SOCIOECONOMIC DETERMINANTS ON MOTORCYCLIST STRESS

MethodsX, Journal Year: 2025, Volume and Issue: 14, P. 103240 - 103240

Published: Feb. 22, 2025

Language: Английский

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Symptoms of Mental Health Conditions and Their Predictors Among U.S. Adults During the First Year of the COVID-19 Pandemic

Healthcare, Journal Year: 2025, Volume and Issue: 13(5), P. 519 - 519

Published: Feb. 27, 2025

Background/Objectives: This study examined the impact of COVID-19 pandemic on mental health among U.S. adults during its first year, using monthly surveys from March to November 2020. Methods: The primary outcome was Patient Health Questionnaire four-item (PHQ-4) measure anxiety and depressive symptoms. Univarite bivariate analyses were used provide foundational understanding key variables. Parametric non-parametric correlation conducted observe relationship between impacts or risk factors frequency anxiety/depressive A series regression models fit assess stressors PHQ-4 scores. Results: There a statistically significant increase in mean scores proportion respondents with moderate severe symptoms (PHQ-4 = 6+) March-June July-November Factors such as fear contracting virus, concerns, lifestyle disruptions had outcomes; however, these effects more modest than estimates reported elsewhere. Financial strain, particularly lower-income households those experiencing job loss, showed stronger associations increased symptoms, but overall population-level limited due small severely affected financially. Using models, we found that demographic collectively explained about 21% variance Conclusions: provides nuanced pandemic's impact, suggesting while certain subgroups affected, population level depression less pronounced previously assumed.

Language: Английский

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Mediating role of the ratio of family income to poverty in the association between depressive symptoms and stroke: Evidence from a large population-based study

Journal of Affective Disorders, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

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The Association between Depression and Heart Attack: Examining Demographic and Behavioral Correlates in Tennessee

Chronic Stress, Journal Year: 2025, Volume and Issue: 9

Published: March 1, 2025

Background Cardiovascular diseases (CVD) and depression are growing global health concerns as heart attack stroke solely account for around 85% of total CVD deaths 280 million ie, while 3.4% the world's population have depression. A bi-directional relationship exists between disease: about one-fourth disease patients experience depression, those with a higher risk developing compared to general population. This study aims examine association dependent variable, focusing on demographic behavioral correlates individuals in Tennessee. Methods We performed cross-sectional analysis using 2022 Behavior Risk Factor Surveillance System (BRFSS) data Tennessee (N = 5266). Our analytical approaches involved descriptive multivariate (logistic regression analysis) assess The primary variable interest was self-reported lifetime independent variables included no exercise past 30 days, smoking status, race/ethnicity, gender, age category. Results 7.5% 731) participants reported 27.8% 828) Depression found be significantly associated odds (AOR 1.36; 95% CI, 1.06, 1.73), p < 0.001). Similarly, days 1.74; 1.39, 2.20, 0.001) also attack. Furthermore, low income, current race/ethnicity were not our study. Conclusion reinforces significant link highlighting complex interplay factors influencing onset cardiovascular diseases. findings underscore necessity comprehensive approach that integrates mental considerations addresses broader social determinants health.

Language: Английский

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