posted on 2018-07-24, 08:30authored byCillian P. Mc Dowell, Angela Carlin, Laura Capranica, Christina Dillon, Janas M. Harrington, Jeroen Lakerveld, Anne Loyen, Fiona Chun Man Ling, Johannes Brug, Ciaran MacDonnchaCiaran MacDonncha, Matthew P. Herring
Background: Depression is a prevalent, debilitating, and often recurrent mood disorder for which successful firstline
treatments remains limited. The purpose of this study was to investigate the cross-sectional associations
between self-reported physical activity (PA) and depressive symptoms and status among Irish adults, using two
existing datasets, The Irish Longitudinal Study on Ageing (TILDA) and The Mitchelstown Cohort Study.
Methods: The two selected databases were pooled (n = 10,122), and relevant variables were harmonized. PA was
measured using the short form International Physical Activity Questionnaire. Depressive symptoms were measured
by the Center for Epidemiologic Studies Depression (CES-D) questionnaire. Participants were classified as meeting
World Health Organization moderate-to-vigorous PA (MVPA) guidelines or not, and divided into tertiles based on
weekly minutes of MVPA. A CES-D score of ≥16 indicated elevated depressive symptoms. Data collection were
conducted in 2010–2011.
Results: Significantly higher depressive symptoms were reported by females (7.11 ± 7.87) than males (5.74 ± 6.86; p
< 0.001). Following adjustment for age, sex, BMI, and dataset, meeting the PA guidelines was associated with 44.7%
(95%CI: 35.0 to 52.9; p < 0.001) lower odds of elevated depressive symptoms. Compared to the low PA tertile, the
middle and high PA tertiles were associated with 25.2% (95%CI: 8.7 to 38.6; p < 0.01) and 50.8% (95%CI: 40.7 to 59.2;
p < 0.001) lower odds of elevated depressive symptoms, respectively.
Conclusion: Meeting the PA guidelines is associated with lower odds of elevated depressive symptoms, and
increased volumes of MVPA are associated with lower odds of elevated depressive symptoms.
Funding
Development of a structure identification methodology for nonlinear dynamic systems