Sedentary behaviors and risk of depression in the Seguimiento Universidad de Navarra cohort : the SUN Project.
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2022
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The study aimed to prospectively examine the association between different
sedentary behaviors and the risk of depression. We included 12,691 Spanish
university graduates (mean age: 36.7 year; SD: 11.5), participants of the Se-
guimiento Universidad de Navarra cohort (the SUN Project), initially free of
depression who were followed-up for a median of 10.9 years. Based on items
presented in our baseline questionnaire, time spent in four sedentary behav-
iors (hours/day) were evaluated: overall sitting time; TV-viewing; computer
use; and driving. Participants were classified as incident cases of depression if
they reported a physician diagnosis of depression in at least one of the follow-
up assessments conducted after the first two years of follow-up. Cox regression
models were used to assess the relationship between sedentary behaviors and
depression. A total of 560 incident cases of depression were identified during
follow-up. We found no significant association between overall sitting time,
TV-viewing or driving and risk of depression. On the other hand, computer
use was directly associated with the risk of developing depression during the
follow-up (p-value for trend = 0.020), with the participants in the highest
quartile of computer use (3.64 to 10 hours/week) having a higher risk of de-
veloping depression (HR = 1.33; 95%CI: 1.05-1.70) than those in the lowest
quartile (0 to 0.25 hours/week) after adjusting for potential confounders. Pro-
longed use of computer was independently associated with an increased risk of
developing depression among young middle-aged adult university graduates
from a Spanish cohort.
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Adult, Computers, Cohort studies
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PIMENTA, Adriano Marçal et al. Sedentary behaviors and risk of depression in the Seguimiento Universidad de Navarra cohort: the SUN Project. Cadernos de Saúde Pública, v. 38, n. 2, 2022. Disponível em: <https://www.scielo.br/j/csp/a/xxnZSRdwn7K46sQmYMJ77BB/abstract/?lang=en>. Acesso em: 11 out. 2022.