Risk Factors for Symptoms of Depression and Anxiety One Year Poststroke: A Longitudinal Study

2016 ◽  
Vol 97 (6) ◽  
pp. 919-928 ◽  
Author(s):  
Joyce A. Kootker ◽  
Maria L. van Mierlo ◽  
Jan C. Hendriks ◽  
Judith Sparidans ◽  
Sascha M. Rasquin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Longitudinal Study ◽  
Depression And Anxiety ◽  
Symptoms Of Depression ◽  
One Year

scholarly journals Associations of immunometabolic risk factors with symptoms of depression and anxiety: The role of cardiac vagal activity

2018 ◽  
Vol 73 ◽  
pp. 493-503 ◽  
Author(s):  
Mandy X. Hu ◽  
Brenda W.J.H. Penninx ◽  
Eco J.C. de Geus ◽  
Femke Lamers ◽  
Dora C.-H. Kuan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Vagal Activity ◽  
Depression And Anxiety ◽  
Symptoms Of Depression

Considering Depression and Anxiety as Risk Factors for Temporomandibular Joint Disorder

2020 ◽  
pp. 152-159
Author(s):  
Stefan Kindler ◽  
Marike Bredow-Zeden
Keyword(s):  
Risk Factors ◽  
Chronic Pain ◽  
Temporomandibular Joint ◽  
Facial Pain ◽  
Masticatory Muscles ◽  
Depression And Anxiety ◽  
Temporomandibular Joint Disorder ◽  
Social Emotional ◽  
Symptoms Of Depression ◽  
Joint Disorder

Temporomandibular joint disorder (TMD) is a painful functional disorder of the temporomandibular joint, masticatory muscles, and associated musculoskeletal structures of the head and neck. TMD is a type of chronic pain and is widely used as a model for chronic pain. The etiology of TMD pain is multifactorial. Biological, behavioral, environmental, social, emotional, and cognitive factors can contribute to TMD. TMD can manifest with musculoskeletal facial pain complaints and with different forms of jaw dysfunction. Biobehavioral studies suggest an association between TMD pain and coexisting psychopathology, including depression and anxiety. This chapter presents practical clinical recommendations on how to treat patients with symptoms of depression, anxiety, and TMD pain. The authors underline the importance of considering depression and anxiety as risk factors for TMD.

Risk factors for future falls among community-dwelling older adults without a fall in the previous year: A prospective one-year longitudinal study

2020 ◽  
Vol 91 ◽  
pp. 104161 ◽  
Author(s):  
Jaqueline Mello Porto ◽  
Natália Camargo Rodrigues Iosimuta ◽  
Renato Campos Freire Júnior ◽  
Roberta de Matos Brunelli Braghin ◽  
Érika Leitner ◽  
...  
Keyword(s):  
Risk Factors ◽  
Older Adults ◽  
Longitudinal Study ◽  
Community Dwelling ◽  
One Year ◽  
Community Dwelling Older Adults

scholarly journals 106EARLY LIFE RISK FACTORS FOR SYMPTOMS OF DEPRESSION AND ANXIETY IN LATER LIFE: ANALYSIS OF 4 COHORT STUDIES

2019 ◽  
Vol 48 (Supplement_1) ◽  
pp. i31-i31
Author(s):  
E V Backhouse ◽  
S D Shenkin ◽  
A McIntosh ◽  
I Deary ◽  
H Whalley ◽  
...  
Keyword(s):  
Risk Factors ◽  
Cohort Studies ◽  
Later Life ◽  
Depression And Anxiety ◽  
Symptoms Of Depression ◽  
Life Analysis

scholarly journals The relationship between linguistic expression in blog content and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0251787
Author(s):  
Bridianne O’Dea ◽  
Tjeerd W. Boonstra ◽  
Mark E. Larsen ◽  
Thin Nguyen ◽  
Svetha Venkatesh ◽  
...  
Keyword(s):  
Social Media ◽  
Longitudinal Study ◽  
Depression And Anxiety ◽  
Linguistic Features ◽  
Suicidal Thoughts ◽  
Subject Analysis ◽  
Symptoms Of Depression ◽  
Final Sample ◽  
Social Media Platforms ◽  
Within Subjects

Data generated within social media platforms may present a new way to identify individuals who are experiencing mental illness. This study aimed to investigate the associations between linguistic features in individuals’ blog data and their symptoms of depression, generalised anxiety, and suicidal ideation. Individuals who blogged were invited to participate in a longitudinal study in which they completed fortnightly symptom scales for depression and anxiety (PHQ-9, GAD-7) for a period of 36 weeks. Blog data published in the same period was also collected, and linguistic features were analysed using the LIWC tool. Bivariate and multivariate analyses were performed to investigate the correlations between the linguistic features and symptoms between subjects. Multivariate regression models were used to predict longitudinal changes in symptoms within subjects. A total of 153 participants consented to the study. The final sample consisted of the 38 participants who completed the required number of symptom scales and generated blog data during the study period. Between-subject analysis revealed that the linguistic features “tentativeness” and “non-fluencies” were significantly correlated with symptoms of depression and anxiety, but not suicidal thoughts. Within-subject analysis showed no robust correlations between linguistic features and changes in symptoms. The findings may provide evidence of a relationship between some linguistic features in social media data and mental health; however, the study was limited by missing data and other important considerations. The findings also suggest that linguistic features observed at the group level may not generalise to, or be useful for, detecting individual symptom change over time.

P4-378: A MULTI-DOMAIN VIRTUAL COGNITIVE HEALTH PROGRAM REDUCES SYMPTOMS OF DEPRESSION AND ANXIETY: SIX-MONTH RESULTS FROM A SINGLE-ARM LONGITUDINAL STUDY

2006 ◽  
Vol 14 (7S_Part_31) ◽  
pp. P1618-P1619
Author(s):  
Nicholas T. Bott ◽  
Shefali Kumar ◽  
Heidi Moseson ◽  
Jaspreet Uppal ◽  
Jennifer Tran ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Health Program ◽  
Depression And Anxiety ◽  
Cognitive Health ◽  
Symptoms Of Depression

Symptoms of depression and anxiety during adult life: evidence for a decline in prevalence with age

1998 ◽  
Vol 28 (6) ◽  
pp. 1321-1328 ◽  
Author(s):  
A. S. HENDERSON ◽  
A. F. JORM ◽  
A. E. KORTEN ◽  
P. JACOMB ◽  
H. CHRISTENSEN ◽  
...  
Keyword(s):  
Risk Factors ◽  
General Population ◽  
Population Sample ◽  
Adult Life ◽  
Depression And Anxiety ◽  
Adverse Life Events ◽  
Cross Sectional ◽  
Symptoms Of Depression ◽  
Increased Risk ◽  
Striking Change

Background. To test the hypothesis that the prevalence, in the general population, of symptoms of depression and anxiety declines with age.Methods. A general population sample of 2725 persons aged 18 to 79 years was administered two inventories for current symptoms of depression and anxiety, together with measures of neuroticism and of exposures that may confer increased risk of such symptoms.Results. Symptoms of depression showed a decline with age in both men and women. For anxiety, the decline was statistically significant for women but not consistently so for men. For the risk factors examined, there was a decline with age in the neuroticism score, the frequency of adverse life events, being seriously short of money and having had parents who separated or divorced. Further analysis showed that the association between age and a declining symptom score cannot be entirely attributed to these risk factors, with the single exception of neuroticism. The latter is itself likely to be contaminated by current symptoms.Conclusion. Unless these findings are due to bias in the sample of those who agreed to participate, they add to the evidence that symptoms of depression and to a lesser extent of anxiety decline in prevalence with age. Some risk factors also decline with age. It now has to be determined if these cross-sectional observations are also to be found in longitudinal data; and what process may underlie this striking change in mental health during adulthood.

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