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Health Conditions and Passive Suicidal Ideation in the Survey of Health, Ageing, and Retirement in Europe.

ABSTRACT: To examine the associations between health conditions and passive suicidal ideation in middle-aged and older adults.Multivariate logistic regression analyses were conducted on data from 35,664 middle-aged and older adults from the Survey of Health, Ageing, and Retirement in Europe. Mediation analyses were also conducted to test the roles of disability and depression in risk of ideation.After including demographic variables, disability, depression, and other health conditions as covariates, heart attack, diabetes/high blood sugar, chronic lung disease, arthritis, ulcer, and hip/femoral fractures were associated with increased odds of passive suicidal ideation. When grouped by organ systems, conditions affecting the endocrine, respiratory, and musculoskeletal systems were associated with increased odds of passive suicidal ideation, as was the total number of conditions. Individuals with greater numbers of health conditions exhibited greater levels of disability and depression, which partially explained the increased risk of passive suicidal ideation among those with more health conditions.Certain specific health conditions, as well as total number of conditions, are associated with passive suicidal ideation in middle age and older adulthood. Health is a critical risk factor for suicidal ideation in late life and should be further studied in this particularly at-risk population.

SUBMITTER: Lutz J

PROVIDER: S-EPMC4982388 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

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Health Conditions and Passive Suicidal Ideation in the Survey of Health, Ageing, and Retirement in Europe.

Lutz Julie J Morton Kimberly K Turiano Nicholas A NA Fiske Amy A

The journals of gerontology. Series B, Psychological sciences and social sciences 20160324 5

<h4>Objectives</h4>To examine the associations between health conditions and passive suicidal ideation in middle-aged and older adults.<h4>Method</h4>Multivariate logistic regression analyses were conducted on data from 35,664 middle-aged and older adults from the Survey of Health, Ageing, and Retirement in Europe. Mediation analyses were also conducted to test the roles of disability and depression in risk of ideation.<h4>Results</h4>After including demographic variables, disability, depression ...[more]

PMID: 27013533

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Project description:BackgroundA frailty paradigm would be useful in primary care to identify older people at risk, but appropriate metrics at that level are lacking. We created and validated a simple instrument for frailty screening in Europeans aged ?50. Our study is based on the first wave of the Survey of Health, Ageing and Retirement in Europe (SHARE, http://www.share-project.org), a large population-based survey conducted in 2004-2005 in twelve European countries.MethodsSubjectsSHARE Wave 1 respondents (17,304 females and 13,811 males).Measuresfive SHARE variables approximating Fried's frailty definition. Analyses (for each gender): 1) estimation of a discreet factor (DFactor) model based on the frailty variables using LatentGOLD. A single DFactor with three ordered levels or latent classes (i.e. non-frail, pre-frail and frail) was modelled; 2) the latent classes were characterised against a biopsychosocial range of Wave 1 variables; 3) the prospective mortality risk (unadjusted and age-adjusted) for each frailty class was established on those subjects with known mortality status at Wave 2 (2007-2008) (11,384 females and 9,163 males); 4) two web-based calculators were created for easy retrieval of a subject's frailty class given any five measurements.ResultsFemales: the DFactor model included 15,578 cases (standard R2 = 0.61). All five frailty indicators discriminated well (p < 0.001) between the three classes: non-frail (N = 10,420; 66.9%), pre-frail (N = 4,025; 25.8%), and frail (N = 1,133; 7.3%). Relative to the non-frail class, the age-adjusted Odds Ratio (with 95% Confidence Interval) for mortality at Wave 2 was 2.1 (1.4 - 3.0) in the pre-frail and 4.8 (3.1 - 7.4) in the frail. Males: 12,783 cases (standard R2 = 0.61, all frailty indicators had p < 0.001): non-frail (N = 10,517; 82.3%), pre-frail (N = 1,871; 14.6%), and frail (N = 395; 3.1%); age-adjusted OR (95% CI) for mortality: 3.0 (2.3 - 4.0) in the pre-frail, 6.9 (4.7 - 10.2) in the frail.ConclusionsThe SHARE Frailty Instrument has sufficient construct and predictive validity, and is readily and freely accessible via web calculators. To our knowledge, SHARE-FI represents the first European research effort towards a common frailty language at the community level.

Dataset Information

Health Conditions and Passive Suicidal Ideation in the Survey of Health, Ageing, and Retirement in Europe.

Publications

Health Conditions and Passive Suicidal Ideation in the Survey of Health, Ageing, and Retirement in Europe.

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