OBJECTIVES: To investigate whether gait speed predicts incident depressive symptoms and whether depressive symptoms predict incident gait speed impairment; to ascertain the presence of shared risk factors for these associations. DESIGN: The Longitudinal Aging Study Amsterdam, a prospective cohort study with five follow-up cycles over 16 years. SETTING: Population based. PARTICIPANTS: One thousand nine hundred twenty-eight respondents for incident depressive symptoms (mean age 68.9 ± 8.5) and 1,855 respondents for incident gait speed impairment (mean age 68.0 ± 8.2). MEASUREMENTS: Depressive symptoms were measured using the Center for Epidemiologic Studies Depression Scale; gait speed was measured, back and forth, during a 3-m walk as quickly as possible, with a 180° turn. Multivariate analyses were performed for both sexes using Cox regression. RESULTS: Incident depressive symptoms occurred in 24% of respondents. In univariate analyses, gait speed at baseline predicted incident depressive symptoms in men and women; after adjustment for covariates, this association persisted in men only. Examining the reverse association, 34% of respondents developed gait speed impairment. Depressive symptoms at baseline were univariately associated with incident gait speed impairment in women but not in men; this association did not persist after adjustment. The bidirectional associations did not share the same explanatory variables. CONCLUSION: Gait speed predicts depressive symptoms in men. The geriatric giants of depressive symptoms and slowed gait speed in late life appear to result from different pathologies, both of which therefore require their own treatment strategies.
OBJECTIVES: To investigate whether gait speed predicts incident depressive symptoms and whether depressive symptoms predict incident gait speed impairment; to ascertain the presence of shared risk factors for these associations. DESIGN: The Longitudinal Aging Study Amsterdam, a prospective cohort study with five follow-up cycles over 16 years. SETTING: Population based. PARTICIPANTS: One thousand nine hundred twenty-eight respondents for incident depressive symptoms (mean age 68.9 ± 8.5) and 1,855 respondents for incident gait speed impairment (mean age 68.0 ± 8.2). MEASUREMENTS: Depressive symptoms were measured using the Center for Epidemiologic Studies Depression Scale; gait speed was measured, back and forth, during a 3-m walk as quickly as possible, with a 180° turn. Multivariate analyses were performed for both sexes using Cox regression. RESULTS: Incident depressive symptoms occurred in 24% of respondents. In univariate analyses, gait speed at baseline predicted incident depressive symptoms in men and women; after adjustment for covariates, this association persisted in men only. Examining the reverse association, 34% of respondents developed gait speed impairment. Depressive symptoms at baseline were univariately associated with incident gait speed impairment in women but not in men; this association did not persist after adjustment. The bidirectional associations did not share the same explanatory variables. CONCLUSION: Gait speed predicts depressive symptoms in men. The geriatric giants of depressive symptoms and slowed gait speed in late life appear to result from different pathologies, both of which therefore require their own treatment strategies.
Authors: Julia C Thomas; Charles Odonkor; Laura Griffith; Nicole Holt; Sanja Percac-Lima; Suzanne Leveille; Pensheng Ni; Nancy K Latham; Alan M Jette; Jonathan F Bean Journal: Exp Gerontol Date: 2014-06-18 Impact factor: 4.032
Authors: Patrick J Brown; Bret R Rutherford; Kristine Yaffe; Jane M Tandler; Justina Laurence Ray; Emily Pott; Sarah Chung; Steven P Roose Journal: Am J Geriatr Psychiatry Date: 2016-06-23 Impact factor: 4.105
Authors: Lana J Williams; Julie A Pasco; Amanda L Stuart; Felice N Jacka; Sharon L Brennan; Amelia G Dobbins; Risto Honkanen; Heli Koivumaa-Honkanen; Päivi H Rauma; Michael Berk Journal: BMC Psychiatry Date: 2015-04-08 Impact factor: 3.630
Authors: Panayotes Demakakos; Rachel Cooper; Mark Hamer; Cesar de Oliveira; Rebecca Hardy; Elizabeth Breeze Journal: PLoS One Date: 2013-07-09 Impact factor: 3.240
Authors: Rachel Cooper; Mai Stafford; Rebecca Hardy; Avan Aihie Sayer; Yoav Ben-Shlomo; Cyrus Cooper; Leone Craig; Ian J Deary; John Gallacher; Geraldine McNeill; John M Starr; Diana Kuh; Catharine R Gale Journal: Age (Dordr) Date: 2013-07-02
Authors: Emiel O Hoogendijk; Dorly J H Deeg; Jan Poppelaars; Marleen van der Horst; Marjolein I Broese van Groenou; Hannie C Comijs; H Roeline W Pasman; Natasja M van Schoor; Bianca Suanet; Fleur Thomése; Theo G van Tilburg; Marjolein Visser; Martijn Huisman Journal: Eur J Epidemiol Date: 2016-08-20 Impact factor: 8.082