Sedentary behaviors and risk of depression in the Seguimiento Universidad de Navarra cohort: the SUN Project

Pimenta, Adriano Marçal; Mendonça, Raquel Bicudo; Lahortiga-Ramos, Francisca; Fernández-Lázaro, César I; Martínez‐González, Miguel Ángel; Sánchez‐Villegas, Almudena

doi:10.1590/0102-311x00076621

Cited by 3 publications

(1 citation statement)

References 31 publications

(48 reference statements)

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“…La depresión en adultos mayores tiene relevancia epidemiológica, social y económica por su relación con la disminución de la productividad, la calidad de vida, su gran impacto en enfermedades crónicas y la mortalidad (6).…”

Section: Introductionunclassified

Depresión en el adulto mayor: factores de riesgo y manejo el primer nivel de atención.

Alvarado

Garcia

Barrantes

et al. 2022

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La depresión en el adulto mayor es un problema de salud pública en cual ha aumentado su prevalencia y se ha convertido en foco de atención importante en virtud a el rápido crecimiento de la población geriátrica de los últimos 20 años.(1) Existen diversos factores de riesgo para desarrollar esta patología como: mala red de apoyo familiar, trastornos del sueño, comorbilidades médicas subyacentes dentro de ellas de gran peso la demencia y los deterioros neurocognitivos los cuales en muchas ocasiones no se encuentran diagnosticados. Además, es de relevancia señalar que la depresión no forma parte del envejecimiento, contrario a las creencias populares. En este artículo se realiza una revisión de la literatura respecto a la depresión en lo adultos mayores enfocada en el diagnostico, pronostico, factores de riesgo para desarrollar dicha patología y manejo por parte del primer nivel de atención médica, apoyada en las bases de datos electrónicas de los últimos 12 años.

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Section: Introductionunclassified

Depresión en el adulto mayor: factores de riesgo y manejo el primer nivel de atención.

Alvarado

Garcia

Barrantes

et al. 2022

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Screen time and depression risk: A meta-analysis of cohort studies

Zhang

Zhu

et al. 2022

Front. Psychiatry

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BackgroundThe impact of screen time on mental health, including depression, has attracted increasing attention from not only children and adolescents but also the elderly. Thus, we conducted a meta-analysis of cohort studies to evaluate the association between screen time and depression risk.MethodsThe PubMed, Embase, Web of Science, and China National Knowledge Infrastructure databases were searched for cohort studies up to May 2022, and the reference lists of the included studies were also retrieved. A random-effect model was used to estimate the combined effect size. Heterogeneity was assessed with the I2 statistic. Potential publication bias was evaluated using a funnel plot and Begg’s and Egger’s tests.ResultsThe final analysis included 18 cohort studies with a combined total of 241,398 participants. The pooled risk ratio (RR) was 1.10 (95% confidence interval: 1.05–1.14), with significant heterogeneity (I2 = 82.7%, P < 0.001). The results of subgroup analyses showed that the pooled RRs varied according to geographic locations, gender, age group, screen time in the control group, depression at the baseline, and whether the study was conducted during the COVID-19 pandemic. No obvious evidence of publication bias was found.ConclusionThis study indicates that screen time is a predictor of depressive symptoms. The effects of screen time on depression risk may vary based on the participant’s age, gender, location, and screen time duration. The findings could have important implications for the prevention of depression.

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Nutritional and Lifestyle Features in a Mediterranean Cohort: An Epidemiological Instrument for Categorizing Metabotypes Based on a Computational Algorithm

García-Perea,

Fernández-Cruz,

de la O-Pascual

et al. 2024

Medicina

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Background and Objectives: Modern classification and categorization of individuals’ health requires personalized variables such as nutrition, physical activity, lifestyle, and medical data through advanced analysis and clustering methods involving machine learning tools. The objective of this project was to categorize Mediterranean dwellers’ health factors and design metabotypes to provide personalized well-being in order to develop professional implementation tools in addition to characterizing nutritional and lifestyle features in such populations. Materials and Methods: A two-phase observational study was conducted by the Pharmacists Council to identify Spanish nutritional and lifestyle characteristics. Adults over 18 years of age completed questionnaires on general lifestyle habits, dietary patterns (FFQ, MEDAS-17 p), physical activity (IPAQ), quality of life (SF-12), and validated well-being indices (LS7, MEDLIFE, HHS, MHL). Subsequently, exploratory factor, clustering, and random forest analysis methods were conducted to objectively define the metabotypes considering population determinants. Results: A total of 46.4% of the sample (n = 5496) had moderate-to-high adherence to the Mediterranean diet (>8 points), while 71% of the participants declared that they had moderate physical activity. Almost half of the volunteers had a good self-perception of health (49.9%). Regarding lifestyle index, population LS7 showed a fair cardiovascular health status (7.9 ± 1.7), as well as moderate quality of life by MEDLIFE (9.3 ± 2.6) and MHL scores (2.4 ± 0.8). In addition, five metabotype models were developed based on 26 variables: Westernized Millennial (28.6%), healthy (25.1%), active Mediterranean (16.5%), dysmetabolic/pre-morbid (11.5%), and metabolically vulnerable/pro-morbid (18.3%). Conclusions: The support of tools related to precision nutrition and lifestyle integrates well-being characteristics and contributes to reducing the impact of unhealthy lifestyle habits with practical implications for primary care. Combining lifestyle, metabolic, and quality of life traits will facilitate personalized precision interventions and the implementation of targeted public health policies.

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Sedentary behaviors and risk of depression in the Seguimiento Universidad de Navarra cohort: the SUN Project

Cited by 3 publications

References 31 publications

Depresión en el adulto mayor: factores de riesgo y manejo el primer nivel de atención.

Depresión en el adulto mayor: factores de riesgo y manejo el primer nivel de atención.

Screen time and depression risk: A meta-analysis of cohort studies

Nutritional and Lifestyle Features in a Mediterranean Cohort: An Epidemiological Instrument for Categorizing Metabotypes Based on a Computational Algorithm

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