Background: Physical inactivity and elevated depressive symptoms are both highly prevalent and correlated among persons with multiple sclerosis (MS). Variables from Social Cognitive Theory (SCT) might be differentially correlated with physical activity in persons with MS who have elevated depressive symptoms.
Purpose: This study investigated the influence of elevated depressive symptoms on correlates of physical activity based on SCT in persons with MS.
Methods: Participants (mean age = 50.3 years, 87% female, 69% Caucasian) completed questionnaires on physical activity, depressive symptoms, self-efficacy, social support, outcome expectations, functional limitations, and goal setting. The questionnaires were delivered and returned through the U.S. Postal Service. The sample (N = 551) was divided into 2 subgroups (i.e., elevated vs non-elevated levels of depressive symptoms) for statistical analyses. Bivariate correlations and stepwise multiple regressions were conducted using SPSS.
Results: Self-efficacy (r = 0.16), functional limitations (r = 0.22) and goal-setting (r = 0.42) were significantly (p < 0.05) associated with physical activity among the elevated depressive sample. The regression analysis indicated that self-efficacy predicted physical activity in Step 1 (β = 0.16, p < 0.05), but was no longer significant when goal-setting (β = 0.06, p > 0.05) entered the model. All social cognitive variables were significantly associated with physical activity levels (r = 0.16-0.40, p < 0.001) among the non-elevated depressive sample. Self-efficacy predicted physical activity in Step 1 (β = 0.24, p < 0.001), but it was no longer significant once goal-setting, functional limitations, and self-evaluative outcome expectations entered the model.
Conclusion: Based on SCT, self-efficacy and goal-setting represent possible targets of behavior interventions for increasing physical activity among persons with MS who have elevated depressive symptoms. There is a larger set of targets among those with MS who do not have elevated symptoms.
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http://dx.doi.org/10.1016/j.dhjo.2017.03.006 | DOI Listing |
J Transl Med
December 2024
Department of Neurology and National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Huashan Hospital, Fudan University, Shanghai, China.
Background: Epilepsy, as a chronic noncommunicable disease with recurrent seizures, may be a marker of deterioration or alteration in other underlying neurological diseases. This study aimed to investigate the relationship of epilepsy with brain function, other common brain disorders, and their underlying mechanisms.
Methods: The study was based on clinical diagnostic and test data from 426,527 participants in the UK Biobank, of whom 3,251 were diagnosed with epilepsy at baseline.
BMC Psychiatry
December 2024
Department of Psychiatry, St. Paul's Hospital Millennium Medical College, Addis Ababa, Addis Ababa, Ethiopia.
Background: Problematic Internet use (PIU) is a growing concern in modern society. There is a limitation of epidemiologic data related to PIU. This is due to a lack of consensus on the definition and variability of assessment tools of PIU.
View Article and Find Full Text PDFBMC Psychiatry
December 2024
Social Development & Health Promotion Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Background: Anxiety during pregnancy is linked to adverse maternal and neonatal outcomes, as well as dissatisfaction with childbirth, and may contribute to the development of postpartum depression. This study aimed to evaluate the effect of mindfulness-based counselling on the anxiety levels and childbirth satisfaction among primiparous pregnant women.
Methods: This two-group, parallel, randomized controlled trial involved 60 eligible primiparous pregnant women who were referred to health centers in Kermanshah province (western Iran).
Mol Psychiatry
December 2024
Department of Psychiatry and Biobehavioral Sciences, Brain Research Institute, University of California Los Angeles, Los Angeles, CA, USA.
Major depressive disorder (MDD) often goes undiagnosed due to the absence of clear biomarkers. We sought to identify voice biomarkers for MDD and separate biomarkers indicative of MDD predisposition from biomarkers reflecting current depressive symptoms. Using a two-stage meta-analytic design to remove confounds, we tested the association between features representing vocal pitch and MDD in a multisite case-control cohort study of Chinese women with recurrent depression.
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