Relationships of Suicide Ideation with Cause-Specific Mortality in a Longitudinal Study of South Koreans

2010 ◽  
Vol 40 (5) ◽  
pp. 465-475 ◽  
Author(s):  
Young-Ho Khang ◽  
Hye-Ryun Kim ◽  
Seong-Jin Cho
Keyword(s):  
Longitudinal Study ◽  
Suicide Ideation ◽  
Specific Mortality

The changes and the predictors of suicide ideation and suicide attempt among HIV-positive patients at 6-12 months post diagnosis: A longitudinal study

2018 ◽  
Vol 75 (3) ◽  
pp. 573-584 ◽  
Author(s):  
Hsing-Fei Lu ◽  
Wang-Huei Sheng ◽  
Shih-Cheng Liao ◽  
Nien-Tzu Chang ◽  
Pei-Ying Wu ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Suicide Attempt ◽  
Suicide Ideation ◽  
Hiv Positive

scholarly journals Hopelessness Predicts Suicide Ideation But Not Attempts: A 10-Year Longitudinal Study

2017 ◽  
Vol 47 (6) ◽  
pp. 718-722 ◽  
Author(s):  
Tianyou Qiu ◽  
E. David Klonsky ◽  
Daniel N. Klein
Keyword(s):  
Longitudinal Study ◽  
Suicide Ideation

scholarly journals Positive mental health moderates the association between depression and suicide ideation: A longitudinal study

2018 ◽  
Vol 18 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Tobias Teismann ◽  
Thomas Forkmann ◽  
Julia Brailovskaia ◽  
Paula Siegmann ◽  
Heide Glaesmer ◽  
...  
Keyword(s):  
Mental Health ◽  
Longitudinal Study ◽  
Suicide Ideation ◽  
Positive Mental Health

A Five-Month Longitudinal Study of Psychache and Suicide Ideation: Replication in General and High-Risk University Students

2013 ◽  
Vol 43 (6) ◽  
pp. 611-620 ◽  
Author(s):  
Talia Troister ◽  
Michael P. Davis ◽  
Ashley Lowndes ◽  
Ronald R. Holden
Keyword(s):  
Longitudinal Study ◽  
High Risk ◽  
University Students ◽  
Suicide Ideation

scholarly journals Impact of different domains of physical activity on cause-specific mortality: A longitudinal study

2014 ◽  
Vol 62 ◽  
pp. 89-95 ◽  
Author(s):  
Miriam Wanner ◽  
Silvan Tarnutzer ◽  
Brian W. Martin ◽  
Julia Braun ◽  
Sabine Rohrmann ◽  
...  
Keyword(s):  
Physical Activity ◽  
Longitudinal Study ◽  
Specific Mortality

scholarly journals The impact of high-risk medications on mortality risk among older adults with polypharmacy: evidence from the English Longitudinal Study of Ageing

BMC Medicine ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Yun-Ting Huang ◽  
Andrew Steptoe ◽  
Li Wei ◽  
Paola Zaninotto
Keyword(s):  
Mental Health ◽  
Older Adults ◽  
Longitudinal Study ◽  
High Risk ◽  
Mortality Risk ◽  
Muscle Relaxants ◽  
Specific Mortality ◽  
Medication Reviews ◽  
Cluster A ◽  
English Longitudinal Study

Abstract Background Polypharmacy is common among older people and is associated with an increased mortality risk. However, little is known about whether the mortality risk is related to specific medications among older adults with polypharmacy. This study therefore aimed to investigate associations between high-risk medications and all-cause and cause-specific mortality among older adults with polypharmacy. Methods This study included 1356 older adults with polypharmacy (5+ long-term medications a day for conditions or symptoms) from Wave 6 (2012/2013) of the English Longitudinal Study of Ageing. First, using the agglomerative hierarchical clustering method, participants were grouped according to the use of 14 high-risk medication categories. Next, the relationship between the high-risk medication patterns and all-cause and cause-specific mortality (followed up to April 2018) was examined. All-cause mortality was assessed by Cox proportional hazards model and competing-risk regression was employed for cause-specific mortality. Results Five high-risk medication patterns—a renin-angiotensin-aldosterone system (RAAS) inhibitors cluster, a mental health drugs cluster, a central nervous system (CNS) drugs cluster, a RAAS inhibitors and antithrombotics cluster, and an antithrombotics cluster—were identified. The mental health drugs cluster showed increased risks of all-cause (HR = 1.55, 95%CI = 1.05, 2.28) and cardiovascular disease (CVD) (SHR = 2.11, 95%CI = 1.10, 4.05) mortality compared with the CNS drug cluster over 6 years, while others showed no differences in mortality. Among these patterns, the mental health drugs cluster showed the highest prevalence of antidepressants (64.1%), benzodiazepines (10.4%), antipsychotics (2.4%), antimanic agents (0.7%), opioids (33.2%), and muscle relaxants (21.5%). The findings suggested that older adults with polypharmacy who took mental health drugs (primarily antidepressants), opioids, and muscle relaxants were at higher risk of all-cause and CVD mortality, compared with those who did not take these types of medications. Conclusions This study supports the inclusion of opioids in the current guidance on structured medication reviews, but it also suggests that older adults with polypharmacy who take psychotropic medications and muscle relaxants are prone to adverse outcomes and therefore may need more attention. The reinforcement of structured medication reviews would contribute to early intervention in medication use which may consequently reduce medication-related problems and bring clinical benefits to older adults with polypharmacy.

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