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

Resumo
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.
Descrição
Palavras-chave
Adult, Computers, Cohort studies
Citação
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.