Predicting suicide in older adults - a community-based cohort study in Taipei City, Taiwan

Roles of Loneliness, Stress, and Religiosity in Suicide Ideation Among Nigerian Older Adults

Suicidal behavior in older adults is a fundamental public health problem globally and the highest suicide rates occur in low- and middle-income countries (LMICs). However, there is limited research on suicidality among older adults, especially in sub-Saharan Africa. We sought to find out whether loneliness, stress and religiosity would be associated with suicide ideation in a sample of sub-Saharan African older adults (N = 500; aged 51-70 years, Mage = 58.97, SD = 6.16; 45.6% women). They completed the Beck Suicidal Ideation Scale, the UCLA Loneliness Scale-version 3, Perceived Stress Scale, and Religiosity Scale. Regression results showed that whereas suicidal ideation could be increased by loneliness and stress, religious older adults were less likely to report suicidal ideation. Interventions aimed at managing and protecting the mental health of older adults during their transition to late adulthood should guard them against loneliness and buffer their resilience and coping strategies with the connectedness that religiosity offers.

Association of Body Mass Index and Cardiometabolic Factors With Elderly Suicide: A Cohort Study of 101,518 Older Taiwanese

BACKGROUND

Older people have the highest suicide rate across age groups in most countries. The prevalence of cardiometabolic risk factors also increases with age. We investigated the association between body mass index (BMI), cardiometabolic risk factors, and suicide in a large cohort of older people in Taiwan.

METHODS

We conducted a cohort study using data from an elderly health examination program in Taipei City, Taiwan (2005-2010), linked to the national cause-of-death data files. We used competing risk Cox regression models to investigate the associations of BMI (kg/m2) and cardiometabolic factors with suicide after adjusting for sex, age, socioeconomic variables, chronic diseases, psychological distress, and cognitive function.

RESULTS

Among 101,518 individuals aged ≥ 65 years, 92 died by suicide during an average follow-up of 3.9 years. Underweight (BMI<18.5) was associated with increased suicide risk (adjusted hazard ratio [aHR]=2.33, 95% confidence interval [CI] 1.20-4.52) (reference: normal weight). Low diastolic blood pressure was associated with increased suicide risk - aHR was 0.51 (95% CI 0.29-0.91) and 0.55 (95% CI 0.31-0.99) for the third and fourth quartiles of diastolic blood pressure (reference: the lowest quartile), respectively. Older people with a higher waist circumference (aHR per 1-standard-deviation increase=0.60 [95% CI 0.37-0.98]) and a higher number of metabolic syndrome criteria (aHR per 1-criterion increase=0.65 [95% 0.46-0.92]) had lower suicide risk. Systolic blood pressure, pulse rate, fasting blood glucose, and lipid profiles were not associated with suicide risk.

CONCLUSIONS

Underweight, low diastolic blood pressure, and low waist circumference may be markers of increased suicide risk in older people.

Machine learning prediction of suicidal ideation, planning, and attempt among Korean adults: A population-based study

Background

Suicide remains the leading cause of premature death in South Korea. This study aims to develop machine learning algorithms for screening Korean adults at risk for suicidal ideation and suicide planning or attempt.

Methods

Two sets of balanced data for Korean adults aged 19–64 years were drawn from the 2012–2019 waves of the Korea Welfare Panel Study using the random down-sampling method (N = 3292 for the prediction of suicidal ideation, N = 488 for the prediction of suicide planning or attempt). Demographic, socioeconomic, and psychosocial characteristics were used to predict suicidal ideation and suicide planning or attempt. Four machine-learning classifiers (logistic regression, random forest, support vector machine, and extreme gradient boosting) were tuned and cross-validated.

Results

All four algorithms demonstrated satisfactory classification performance in predicting suicidal ideation (sensitivity 0.808–0.853, accuracy 0.843–0.863) and suicide planning or attempt (sensitivity 0.814–0.861, accuracy 0.864–0.884). Extreme gradient boosting was the best-performing algorithm for predicting both suicidal outcomes. The most important predictors were depressive symptoms, self-esteem, income, consumption, and life satisfaction. The algorithms trained with the top two predictors, depressive symptoms and self-esteem, showed comparable classification performance in predicting suicidal ideation (sensitivity 0.801–0.839, accuracy 0.841–0.846) and suicide planning or attempt (sensitivity 0.814–0.837, accuracy 0.874–0.884).

Limitations

Suicidal ideation and behaviors may be under-reported due to social desirability bias. Causality is not established.

Discussion

More than 80% of individuals at risk for suicidal ideation and suicide planning or attempt could be predicted by a number of mental and socioeconomic characteristics of respondents. This finding suggests the potential of developing a quick screening tool based on the known risk factors and applying it to primary care or community settings for early intervention.

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This study develops machine learning models to predict suicidal ideation and behaviors.

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Logistic regression, random forest, support vector machine, and extreme gradient boosting are used.

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The algorithms correctly identifyed 80–90% of suicidal cases.

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The algorithms with the top two predictors (depressive symptoms and self-esteem) could achieve comparable accuracy.

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Our findings can be used to design a quick screening tool for use in primary care or community settings.

Factors Related to Suicidal Ideation and Prediction of High-Risk Groups among Youngest-Old Adults in South Korea

(1) Background: The suicide of older adults shows different factors between the youngest-old adults and the old-old adults. This study aimed to identify factors predicting suicidal ideation among youngest-old adults (ages 65 to 74 years) and predict high-risk groups’ characteristics. (2) Methods: The subjects of this study were 970 youngest-old adults who participated in the Korean National Health and Nutrition Examination Survey (KNHANES VIII Year 1, 2019). Logistic regression analysis identified factors related to suicidal ideation, and decision tree analysis identified combined characteristics among high-risk groups. Data were analyzed using SPSS 27.0. (3) Results: Suicidal ideation became more common among those with relatively lower income levels (OR = 1.48, 95% CI = 1.04−2.12), those whom had experienced depression (OR = 9.28, 95% CI = 4.57−18.84), those with relatively higher stress levels (OR = 2.42, 95% CI = 1.11−5.28), and those reporting a relatively worse perceived health (OR = 1.88, 95% CI = 1.23−3.11). Complex characteristics that combined depression, low personal income level, and low perceived health predicted a high risk of suicidal ideation (64.6%, p < 0.05). (4) Conclusions: The findings indicate that this high-risk group should be prioritized when developing suicide prevention strategies.

Suicide preceded by health services contact - A whole-of-population study in New Zealand 2013-2015

New Zealand’s rate of suicide persistently exceeds the global average. The burden of suicide in New Zealand is disproportionately borne by youth, males and Māori (NZ indigenous people). While the demographic characteristics of suicide decedents are established, there is a need to identify potential points of contact with health services where preventative action could take place. This paper aims to determine if suicide deaths in New Zealand were likely to be preceded by contact with health services, and the type and time frame in which these contacts took place. This study utilised a whole-of-population-cohort of all individuals age 15 years and over, who were alive on March 5^th 2013, followed up to December 2015. Associations between the odds of suicide, demographic factors, area-based deprivation, and the timing of last contact with primary, secondary, and tertiary services were analysed using univariate and multivariate logistic regression. Contact with a health service in the 6 Months prior to death was associated with the highest odds of suicide. Over half of the suicide decedent population (59.4%) had contacted primary health services during this period. Large proportions of the suicide decedent population contacted secondary and tertiary services in the 6 Months prior to death, 46.5% and 30.4% respectively. Contact with primary, secondary and tertiary services in the prior 6 Months, were associated with an increased odds of suicide of 2.51 times [95% CI 2.19–2.88], 4.45 times [95% CI 3.69–4.66] and 6.57 times [95% CI 5.84–7.38], respectively, compared to those who had no health services contact.

Late-Onset Suicide: A Dementia Prodrome?

OBJECTIVES

This study examined whether late-onset (versus early-onset) suicidal behavior is associated with worse cognition.

METHODS

Participants included 278 adults aged 50+ years (56 nonpsychiatric comparison group; 67 nonsuicidal depressed older adults; 63 depressed suicide ideators; and 44 late-onset (55+ years) and 48 early-onset suicide attempters (<55 years). Using a case-control design, this study examined group differences in global cognition, episodic memory, information processing speed, and executive functioning, assessed using the Repeatable Battery of Neuropsychological Status and the Trail Making Test from the Delis-Kaplan Executive Function System. Linear regression was used for data analyses.

RESULTS

Both attempter groups displayed worse executive functioning than nonsuicidal depressed older adults. Late-onset attempters additionally displayed poorer global cognition and processing speed than nonsuicidal depressed older adults and poorer memory than early-onset attempters.

CONCLUSIONS

Late-onset suicidal behavior is associated with worse performance in a broad range of cognitive domains, possibly reflective of a dementia prodrome.

Meta-analysis of the strength of exploratory suicide prediction models; from clinicians to computers

BACKGROUND

Suicide prediction models have been formulated in a variety of ways and are heterogeneous in the strength of their predictions. Machine learning has been a proposed as a way of improving suicide predictions by incorporating more suicide risk factors.

AIMS

To determine whether machine learning and the number of suicide risk factors included in suicide prediction models are associated with the strength of the resulting predictions.

METHOD

Random-effect meta-analysis of exploratory suicide prediction models constructed by combining two or more suicide risk factors or using clinical judgement (Prospero Registration CRD42017059665). Studies were located by searching for papers indexed in PubMed before 15 August 2020 with the term suicid* in the title.

RESULTS

In total, 86 papers reported 102 suicide prediction models and included 20 210 411 people and 106 902 suicides. The pooled odds ratio was 7.7 (95% CI 6.7-8.8) with high between-study heterogeneity (I2 = 99.5). Machine learning was associated with a non-significantly higher odds ratio of 11.6 (95% CI 6.0-22.3) and clinical judgement with a non-significantly lower odds ratio of 4.7 (95% CI 2.1-10.9). Models including a larger number of suicide risk factors had a higher odds ratio when machine-learning studies were included (P = 0.02). Among non-machine-learning studies, suicide prediction models including fewer risk factors performed just as well as those including more risk factors.

CONCLUSIONS

Machine learning might have the potential to improve the performance of suicide prediction models by increasing the number of included suicide risk factors but its superiority over other methods is unproven.

Sleep and suicide: A systematic review and meta-analysis of longitudinal studies

The current review provides a quantitative synthesis of the empirical literature on sleep disturbance as a risk factor for suicidal thoughts and behaviors (STBs). A systematic search of PsycINFO, MEDLINE, and the references of prior reviews resulted in 41 eligible studies included in this meta-analysis. Sleep disturbance, including insomnia, prospectively predicted STBs, yielding small-to-medium to medium effect sizes for these associations. Complicating interpretation of these findings however, is that few studies of suicidal ideation and suicide attempts, as well as none of suicide deaths, assessed short-term risk (i.e., employed follow-up assessments of under a month). Such studies are needed to evaluate current conceptualizations of sleep dysregulation as being involved in acute risk for suicidal behavior. This want of short-term risk studies also suggests that current clinical recommendations to monitor sleep as a potential warning sign of suicide risk has a relatively modest empirical basis, being largely driven by cross-sectional or retrospective research. The current review ends with recommendations for generating future research on short-term risk and greater differentiation between acute and chronic aspects of sleep disturbance, and by providing a model of how sleep disturbance may confer risk for STBs through neuroinflammatory and stress processes and associated impairments in executive control.

Role of persistent and worsening sleep disturbance in depression remission and suicidal ideation among older primary care patients: the PROSPECT study

STUDY OBJECTIVES

We analyzed data from a practice-based randomized controlled trial within 20 primary care practices located in greater New York City, Philadelphia, and Pittsburgh to determine whether persistent or worsening sleep disturbance plays a role in the outcomes of depression and suicidal ideation at 1 year in older adults with depression.

METHODS

The study sample consisted of 599 adults aged 60 years and older meeting criteria for major depression or clinically significant minor depression. Longitudinal analysis via growth curve mixture modeling was carried out to classify patients as having worsening, persistent, or improving sleep over 1 year.

RESULTS

At 1-year follow-up, compared with patients with improving sleep, those with worsening sleep were more likely to have a diagnosis of major depression (adjusted odds ratio (aOR) = 28.60, 95% confidence interval (CI) 12.15 to 67.34), a diagnosis of clinically significant minor depression (aOR = 11.88, 95% CI 5.67 to 24.89), and suicidal ideation (aOR = 1.10, 1.005 to 1.199), and were half as likely to achieve remission (aOR = 0.52, 95% CI 0.46 to 0.57). Patients with persistent sleep disturbance showed similar but attenuated results.

CONCLUSIONS

Older primary care patients with depression who exhibit worsening or persistent sleep disturbance were at increased risk for persistent depression and suicidal ideation 1 year later. The pattern of sleep disturbance over time may be an important signal for exploration by primary care physicians of depression and suicidal ideation among older adults with depression.

CLINICAL TRIAL REGISTRATION

NCT00279682.

Sleep disturbances as risk factors for suicidal thoughts and behaviours: a meta-analysis of longitudinal studies

In recent years, there has been a growing interest in understanding the relationship between sleep and suicide. Although sleep disturbances are commonly cited as critical risk factors for suicidal thoughts and behaviours, it is unclear to what degree sleep disturbances confer risk for suicide. The aim of this meta-analysis was to clarify the extent to which sleep disturbances serve as risk factors (i.e., longitudinal correlates) for suicidal thoughts and behaviours. Our analyses included 156 total effects drawn from 42 studies published between 1982 and 2019. We used a random effects model to analyse the overall effects of sleep disturbances on suicidal ideation, attempts, and death. We additionally explored potential moderators of these associations. Our results indicated that sleep disturbances are statistically significant, yet weak, risk factors for suicidal thoughts and behaviours. The strongest associations were found for insomnia, which significantly predicted suicide ideation (OR 2.10 [95% CI 1.83-2.41]), and nightmares, which significantly predicted suicide attempt (OR 1.81 [95% CI 1.12-2.92]). Given the low base rate of suicidal behaviours, our findings raise questions about the practicality of relying on sleep disturbances as warning signs for imminent suicide risk. Future research is necessary to uncover the causal mechanisms underlying the relationship between sleep disturbances and suicide.

Risk factors for suicidal ideation among the older people living alone in rural region of China: A path analysis

In China, suicide accounts for twenty-six percent of all suicides worldwide; however, researches on the suicidal ideation among older people living alone in the rural region are few. We performed a cross-sectional study to explore the prevalence and influence factors of suicidal ideation, and provide a theoretical basis for suicide prevention among older people living alone in rural region.695 older people living alone in rural region were selected by using stratified cluster sampling. Chi-square for categorical variables, T-test for continuous variables, and path analysis were conducted to statistical analysis.The prevalence of suicidal ideation among the elderly living alone in rural China was 23.6%. Path analyses showed that depression had the most substantial influence on suicidal ideation among the elderly living alone, it was also as a mediator between physical, economic status, social support, anxiety, and suicidal ideation; anxiety and social support had both direct and indirect influence on suicidal ideation; physical status and economic status had indirection impact.The incidence of suicidal ideation among the elderly living alone was high in Dangtu county. Psychological disorders (anxiety and depression) had the strongest impact on suicidal ideation. Strategies and measures targeting these relevant factors (economic status, physical status, and social support) should be taken to reduce the burdens of suicidal ideation among the elderly living alone in China.

The prediction model of suicidal thoughts in Korean adults using Decision Tree Analysis: A nationwide cross-sectional study

The purpose of this retrospective decisional analysis study is to develop the prediction model of suicidal ideation. We used a Decision Tree Analysis using SPSS 23.0 program to explore predictors of suicide thoughts for 12,015 Korean adults aged 19–98 years. As a result, the most powerful predictor of suicidal ideation was the level of depression. Of people who suspected depression (CESD-11>16), 32.6% experienced suicidal ideation, which is 12 times higher than that of total subjects. The group with the highest rate of suicidal ideation was people who experienced financial difficulties in depression-suspected group and the rate of suicidal thoughts in this group was 56.7%, which was the highest rate. However, in the non-depressive group, the satisfaction of family relationship was the strongest predictor of suicidal ideation. In the non-depressive group, the rate of suicidal thoughts of people with high level of family relationship satisfaction and high level of health satisfaction was 0.6%, which was the lowest rate. The contribution of this study was that it provided the combination of variables to predict the risk groups of adult suicide. This study suggests that researchers and clinicians should consider comprehensively depressive symptoms, family relationships, economic difficulties, and health status to prevent the suicide of adults.

Association between health behaviors and mood disorders among the elderly: a community-based cohort study

BACKGROUND

According to a WHO report, nearly 15% of adults aged 60 and over suffer from a mental disorder, constituting 6.6% of the total disability for this age group. Taipei City faces rapid transformation towards an aging society, with the proportion of elderly in the total population rising from 12% in 2008 to 16% in 2016. The aim of this study is to identify the prevalence of mental disorders among the elderly in Taipei City and to elucidate risk factors contributing to mental disorders.

METHODS

The elderly health examination database was obtained from the Department of Health, Taipei City government, from 2005 to 2012. A total of 86,061 people underwent publicly funded health examinations, with 348,067 visits. Each year, there are around 43,000 elderly persons in Taipei City using this service. We used a mental health questionnaire including five questions to estimated relative risks among potential risk factors with the generalized estimating equations (GEE) model to measure the mental health status of the elderly. Mood disorders were measured with the Brief Symptom Rating Scale (BSRS-5) questionnaire. Age, education level, gender, marital status, living alone, drinking milk, eating vegetables and fruits, long-term medication, smoking status, frequency of alcohol consumption, frequency of physical activity, BMI, and number of chronic diseases were included as covariates.

RESULTS

The results show that being male (odds ratio (OR) 0.57; 95% CI = 0.56, 0.59), higher education (OR 0.88; 95% CI = 0.82, 0.95), no long-term medication (OR 0.57; 95% CI = 0.56, 0.58), and exercising three or more times per week (OR 0.94; 95% CI = 0.91, 0.98) were all positively correlated with better emotional status. However, being divorced (OR = 1.22, 95% CI = 1.09, 1.36), not drinking milk (OR = 1.12, 95% CI = 1.09, 1.14), not eating enough vegetables and fruits every day (OR = 1.78, 95% CI = 1.73, 1.83), daily smoking (OR = 1.15, 95% CI = 1.01, 1.32), and having more chronic diseases (OR = 1.02, 95% CI = 1.01, 1.03) were all correlated with poor mental status among the elderly.

CONCLUSIONS

The findings of this research can both estimate the prevalence of mood disorders at the community level, and identify risk factors of mood disorders at the personal level.

Exploring the use of telephone helpline pertaining to older adult suicide prevention: A Hong Kong experience

BACKGROUND

Older adults usually have a higher suicide rate than the general population. There are helpline services provided to older adults but limited studies have examined the suicidal risks among the users, and how those services could be used as a platform to engage older adults in suicide prevention.

METHODS

In regard to elderly suicide prevention, this study explored the potential usefulness and relevance of a telephone helpline service in Hong Kong, which had 106,583 users during 2012-2015. An estimation on the suicide rates of the users was made and compared with the general older adult population in Hong Kong. The users' suicide risks and their associated factors were assessed by survival analyses and an estimation system on the users' suicide mortality likelihood was also tested.

RESULTS

The suicide rates of both male and female users were more than two times higher than the general older adult population in Hong Kong. The users' risks of suicides were greater at the early period of using the service; men, living alone, and having a history of mental illnesses were also associated with increased risks. Based on the identified factors, an estimation system was developed with a sensitivity of 0.73 and specificity of 0.54.

LIMITATIONS

A secondary data analysis.

CONCLUSIONS

By identifying a suicide risk profile and distinct telephone calling pattern among the users, early detection and a warning system should be implemented to allow timely intervention to reduce the number of older adult suicides in the community.

Nursing diagnosis for Risk of Suicide in elderly: integrative review

OBJECTIVE

To analyze the specialized literature regarding the risk factors in nursing diagnosis for suicide risks in elderly.

METHOD

This is an integrative literature review carried out during June 2015 in the following databases with no time limit: MEDLINE, PsycINFO and CINAHL.

RESULTS

A total of 80 full papers were analyzed. It was suggested the inclusion of 23 risk factors in NANDA-I taxonomy: apathy; unrest; low self esteem; carelessness with medication; Inability to ask for help; Inability to express feelings; suicidal plan; rigidity; functional disability; visual problems; sadness; hostility; anxiety; failure; frustration; unhappiness; dishonor; frequent visits to a physician with unclear symptoms; social deprivation; social devaluation; psychological violence; Interfamilial violence; and financial violence.

CONCLUSION

The risks for suicide presented in NANDA-I taxonomy need to be refined and adapted to the elderly reality. Furthermore, a review is also recommended for the risk factors not included in this classification.

Suicidality in sleep disorders: prevalence, impact, and management strategies

Sleep disturbances are associated with suicide-related thoughts and behaviors, and the incidence of sleep concerns and suicide has increased recently in the US. Most published research exploring the sleep-suicidality relation is focused on select sleep disorders, with few reviews offering a comprehensive overview of the sleep-suicidality literature. This narrative review broadly investigates the growing research literature on sleep disorders and suicidality, noting the prevalence of suicide ideation and nonfatal and fatal suicide attempts, the impact of several sleep disorders on suicide risk, and potential sleep-disorder management strategies for mitigating suicide risk. Aside from insomnia symptoms and nightmares, there exist opportunities to learn more about suicide risk across many sleep conditions, including whether sleep disorders are associated with suicide risk independently of other psychiatric conditions or symptoms. Generally, there is a lack of randomized controlled trials examining the modification of suicide risk via evidence-based sleep interventions for individuals with sleep disorders.

Comparative validity of the Internet and paper-and-pencil versions of the Night Eating Questionnaire

OBJECTIVE

This study examined the psychometric properties of the Internet and paper-and-pencil versions of the Mandarin Chinese version of the Night Eating Questionnaire (C-NEQ) and compared these measures' validity.

METHOD

The C-NEQ was evaluated through two different media: 626 participants completed the C-NEQ on the Internet and 160 participants completed the paper-form C-NEQ at the psychiatric outpatient clinics. A subgroup completed both versions of the C-NEQ (n=50). The Night Eating Syndrome History and Inventory was used to identify individuals with night eating syndrome (NES).

RESULTS

The paper-and-pencil and Internet versions of the C-NEQ both showed good internal consistency, reliability, and concurrent validity. Reliability between the Internet and the paper-and-pencil versions of the C-NEQ was excellent (ICC=.96). Diagnostic analysis of the C-NEQ's performance using the Receiver Operation Curve method showed excellent results in both versions; the area under the curve did not differ significantly between the versions. Regarding detecting NES, the Internet version had a higher optimal cutoff point than the paper-and-pencil version (23 and 22, respectively).

CONCLUSIONS

The Internet and paper-and-pencil versions of the C-NEQ both showed strong reliability and validity; however the two versions appear to differ marginally regarding usage in NES detection.

Characteristics of the Chinese rural elderly living in nursing homes who have suicidal ideation: A multiple regression model

BACKGROUND

Chinese rural elderly are at higher risk of committing suicide. However, little is known about the suicidal ideation (SI) of institutional elderly residents in rural China.

METHODS

250 participants aged 60 or above living in Chinese rural nursing homes were recruited. Data were collected on subjects' SI, social-demographic characters, physical illness and psychological factors. Univariate comparisons and path analysis were conducted then.

RESULTS

19.5% (40/205) of the participants reported a current SI. Hopelessness and depression had significant direct impacts on SI, and self-esteem and loneliness can impact SI through the mediating of depression and hopelessness. Visiting frequency of children, number of physical illnesses and social activities can also affect SI through the mediating of loneliness or self-esteem.

CONCLUSION

As the first study on path analysis of SI of rural institutional elderly, the findings are significant. All these factors in our model should be considered when interventions are being conducted.

Epidemiology and temporal trend of suicide mortality in the elderly in Jiading, Shanghai, 2003-2013: a descriptive, observational study

OBJECTIVES

To investigate and describe the epidemiological characteristics of suicide in the elderly in Jiading, Shanghai, for the period 2003-2013.

DESIGN

Retrospective, observational, epidemiological study using routinely collected data.

SETTING

Jiading District, Shanghai.

METHODS

Suicide data were retrieved from the Shanghai Vital Registry database for the period 2003-2013. Crude and age-standardised mortality rates were calculated for various groups according to sex and age. Joinpoint regression was performed to estimate the percentage change (PC) and annual percentage change (APC) for suicide mortality.

RESULT

A total of 956 deaths due to suicide occurred among people aged ≥65 years during the study period, accounting for 76.7% (956/1247) of all suicide decedents. Among the 956 people with suicide deaths, 88.7% (848/956) had a history of a psychiatric condition. The age-standardised mortality rates for suicide without and with a psychotic history in people aged ≥65 years were much higher than those for people aged <65 years in both genders. Suicide mortality in the elderly showed a declining trend, with a PC of -51.5% for men and -47.5% for women. The APC was -29.1 in 2003-2005, 4.6 in 2005-2008 and -9.7 in 2008-2013 for aged men, and -12.2 in 2003-2006 and -5.2 in 2006-2013 for aged women, respectively. Women living in Jiading had a higher risk of suicide death than men, especially among the elderly. The mortality rate for suicide increased with age in the elderly, and was more marked for those with a psychiatric history than for those without.

CONCLUSIONS

Suicide mortality declined in Jiading during the study period 2003-2013 overall, but remained high in the elderly, especially those with a psychiatric history.

Anxiety and its disorders as risk factors for suicidal thoughts and behaviors: A meta-analytic review

Suicidal thoughts and behaviors are highly prevalent public health problems with devastating consequences. There is an urgent need to improve our understanding of risk factors for suicide to identify effective intervention targets. The aim of this meta-analysis was to examine the magnitude and clinical utility of anxiety and its disorders as risk factors for suicide ideation, attempts, and deaths. We conducted a literature search through December 2014; of the 65 articles meeting our inclusion criteria, we extracted 180 cases in which an anxiety-specific variable was used to longitudinally predict a suicide-related outcome. Results indicated that anxiety is a statistically significant, yet weak, predictor of suicide ideation (OR=1.49, 95% CI: 1.18, 1.88) and attempts (OR=1.64, 95% CI: 1.47, 1.83), but not deaths (OR=1.01, 95% CI: 0.87, 1.18). The strongest associations were observed for PTSD. Estimates were reduced after accounting for publication bias, and diagnostic accuracy analyses indicated acceptable specificity but poor sensitivity. Overall, the extant literature suggests that anxiety and its disorders, at least when these constructs are measured in isolation and as trait-like constructs, are relatively weak predictors of suicidal thoughts and behaviors over long follow-up periods. Implications for future research priorities are discussed.