scholarly journals Case–control study of suicide in Karachi, Pakistan

2008 ◽  
Vol 193 (5) ◽  
pp. 402-405 ◽  
Author(s):  
Murad Moosa Khan ◽  
Sadia Mahmud ◽  
Mehtab S. Karim ◽  
Mohammad Zaman ◽  
Martin Prince
Keyword(s):  
Stressful Life Events ◽  
Conditional Logistic Regression ◽  
Univariate Analysis ◽  
Public Health Problem ◽  
Case Control ◽  
Major Public Health Problem ◽  
Psychological Autopsy ◽  
Autopsy Study ◽  
Conditional Logistic Regression Model ◽  
Matched Case

BackgroundIn recent years suicide has become a major public health problem in Pakistan.AimsTo identify major risk factors associated with suicides in Karachi, Pakistan.MethodA matched case–control psychological autopsy study. Interviews were conducted for 100 consecutive suicides, which were matched for age, gender and area of residence with 100 living controls.ResultsBoth univariate analysis and conditional logistic regression model results indicate that predictors of suicides in Pakistan are psychiatric disorders (especially depression), marital status (being married), unemployment, and negative and stressful life events. Only a few individuals were receiving treatment at the time of suicide. None of the victims had been in contact with a health professional in the month before suicide.ConclusionsSuicide in Pakistan is strongly associated with depression, which is under-recognised and under-treated. The absence of an effective primary healthcare system in which mental health could be integrated poses unique challenges for suicide prevention in Pakistan.

scholarly journals Being left-behind, mental disorder, and elderly suicide in rural China: a case–control psychological autopsy study

2018 ◽  
Vol 49 (3) ◽  
pp. 458-464 ◽  
Author(s):  
Liang Zhou ◽  
Guojun Wang ◽  
Cunxian Jia ◽  
Zhenyu Ma
Keyword(s):  
Social Support ◽  
Depressive Symptoms ◽  
Mental Disorder ◽  
Life Events ◽  
Stressful Life Events ◽  
Case Control ◽  
Psychological Autopsy ◽  
Autopsy Study ◽  
Left Behind ◽  
Elderly Suicide

AbstractBackgroundSuicide rate among rural elderly is the highest among all age groups in China, yet little is known about the suicide risks in this rapidly growing vulnerable population.MethodsThis matched case–control psychological autopsy study was conducted during June 2014 to September 2015. Consecutive samples of suicides aged 60 or above were identified in three provinces (Shandong, Hunan, and Guangxi) in China. Living comparisons were 1:1 matched with the suicides in age (±3 years old), gender, and living location. Risk factors included demographic characteristics, being left-behind, mental disorder, depressive symptoms, stressful life events, and social support.ResultsA total of 242 suicides and 242 comparisons were enrolled: 135 (55.8%) were male, mean (s.d.) age was 74 (8) years. The most frequently used suicide means were pesticides (125, 51.7%) and hanging (95, 39.3%). Independent risks of suicide included unstable marital status [odds ratio (OR) 4.19, 95% confidence interval (CI) 1.61–10.92], unemployed (compared with employed, OR 4.43, 95% CI 1.09–17.95), depressive symptoms (OR 1.34, 95% CI 1.21–1.48), and mental disorder (OR 6.28, 95% CI 1.75–22.54). Structural equation model indicated that the association between being left-behind and suicide was mediated by mental disorder, depressive symptoms, stressful life events, and social support.ConclusionsUnstable marital status, unemployed, depressive symptoms, and mental disorder are independent risk factors for suicide in rural elderly. Being left-behind can elevate the suicide risk through increasing life stresses, depressive symptoms, mental disorder, and decreasing social support. Elderly suicide may be prevented by restricting pesticides, training rural physicians, treating mental disorders, mitigating life stress, and enhancing social connection.

scholarly journals Risk factors for suicide in Bangladesh: case–control psychological autopsy study

BJPsych Open ◽  
2020 ◽  
Vol 7 (1) ◽  
Author(s):  
S. M. Yasir Arafat ◽  
M. A. Mohit ◽  
Mohammad S. I. Mullick ◽  
Russell Kabir ◽  
Murad M. Khan
Keyword(s):  
Risk Factors ◽  
Sexual Abuse ◽  
Psychiatric Disorder ◽  
Life Events ◽  
Significant Risk ◽  
Public Health Problem ◽  
Case Control ◽  
Psychological Autopsy ◽  
Autopsy Study ◽  
Risk Factors For Suicide

Background Suicide is an important, understudied public health problem in Bangladesh, where risk factors for suicide have not been investigated by case–control psychological autopsy study. Aims To identify the major risk factors for suicide in Dhaka, Bangladesh. Methods We designed a matched case–control psychological autopsy study. We conducted a semi-structured interview with the next-of-kin of 100 individuals who died by suicide and 100 living controls, matched for age, gender and area of residence. The study was conducted from July 2019 to July 2020. Results The odds ratios for the risk factors were 15.33 (95% CI, 4.76–49.30) for the presence of a psychiatric disorder, 17.75 (95% CI, 6.48–48.59) for life events, 65.28 (95% CI, 0.75–5644.48) for previous attempts and 12 (95% CI, 1.56–92.29) for sexual abuse. Conclusions The presence of a psychiatric disorder, immediate life events, previous suicidal attempts and sexual abuse were found as significant risk factors for suicide in Dhaka, Bangladesh.

scholarly journals Anhedonia as a Potential Risk Factor of Alzheimer’s Disease in a Community-Dwelling Elderly Sample: Results from the ZARADEMP Project

2021 ◽  
Vol 18 (4) ◽  
pp. 1370
Author(s):  
David Vaquero-Puyuelo ◽  
Concepción De-la-Cámara ◽  
Beatriz Olaya ◽  
Patricia Gracia-García ◽  
Antonio Lobo ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Potential Risk ◽  
Proportional Hazards ◽  
Univariate Analysis ◽  
Population Sample ◽  
Public Health Problem ◽  
Cox Proportional Hazards ◽  
Community Dwelling ◽  
Major Public Health Problem

(1) Introduction: Dementia is a major public health problem, and Alzheimer’s disease (AD) is the most frequent subtype. Clarifying the potential risk factors is necessary in order to improve dementia-prevention strategies and quality of life. Here, our purpose was to investigate the role of the absence of hedonic tone; anhedonia, understood as the reduction on previous enjoyable daily activities, which occasionally is underdetected and underdiagnosed; and the risk of developing AD in a cognitively unimpaired and non-depressed population sample. (2) Method: We used data from the Zaragoza Dementia and Depression (ZARADEMP) project, a longitudinal epidemiological study on dementia and depression. After excluding subjects with dementia, a sample of 2830 dwellers aged ≥65 years was followed for 4.5 years. The geriatric mental state examination was used to identify cases of anhedonia. AD was diagnosed by a panel of research psychiatrists according to Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria. A multivariate survival analysis and Cox proportional hazards regression model were performed, and the analysis was controlled by an analysis for the presence of clinically significant depression. (3) Results: We found a significant association between anhedonia cases and AD risk in the univariate analysis (hazard ratio (HR): 2.37; 95% CI: 1.04–5.40). This association persisted more strongly in the fully adjusted model. (4) Conclusions: Identifying cognitively intact individuals with anhedonia is a priority to implement preventive strategies that could delay the progression of cognitive and functional impairment in subjects at risk of AD.

scholarly journals 717. Antibiotic treatment of Shiga toxin-producing Escherichia coli related gastroenteritis and the risk of hemolytic uremic syndrome: a population based matched case-control study in Japan

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S409-S410
Author(s):  
Shota Myojin ◽  
Kyongsun Pak ◽  
Mayumi Sako ◽  
Tohru Kobayashi ◽  
Takuri Takahashi ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Shiga Toxin ◽  
Case Control Study ◽  
Conditional Logistic Regression ◽  
Population Based ◽  
Case Control ◽  
Age Group ◽  
Matched Case ◽  
Matched Case Control Study ◽  
Control Study

Abstract Background The role of therapeutic intervention, particularly antibiotics, for Shiga toxin-producing Escherichia coli (STEC) related infection is controversial. Methods We performed a population based matched case-control study to assess the association between treatment (antibiotics, antidiarrheal agents and probiotics) for STEC related infections and HUS development. We identified all STEC HUS patients as cases and matched five non-HUS patients as controls using the data from the National Epidemiological Surveillance of Infectious Diseases (NESID) between January 1, 2017, and December 31, 2018. Further medical information was obtained by standardized questionnaires answered by physicians who registered each patient. We used multivariate conditional logistic regression model to evaluate the association between exposures (use of antibiotics, use of antidiarrheal agents, days between disease onset and fosfomycin administration [within two or three days]) and the development of HUS, by matched odds ratios (OR) and 95% confidence intervals (CI). Covariates we used were sex, age group, area code, presence of diarrhea and other factors. We also performed subgroup analyses using age (adults and children) as a stratification factor. Results 7,760 STEC related patients were registered in the NESID. We selected patients who had a record of HUS diagnosis (n=182) and matched controls without HUS (n=910). After collecting standardized paper-based questionnaires, we enrolled 90 HUS patients and 371 non-HUS patients for analysis. In the main analysis, matched OR of fosfomycin was 0.75(0.47-1.20) in all ages, 1.41(0.51-3.88) in adults and 0.58(0.34-1.01) in children. Matched OR of antidiarrheal agents was 2.07(1.07-4.03) in all ages, 1.84(0.32-10.53) in adults, 2.65(1.21-5.82) in children. Matched OR of probiotics was 0.86(0.46-1.61) in all ages, 0.76(0.21-2.71) in adults, 1.00(0.48-2.09) in children. There was no significant association between the timing of fosfomycin use in the first two or five days of illness and HUS development in any age group. Conclusion Our results suggest that fosfomycin might decrease the risk of HUS in children younger than 15 years of age with STEC confirmed bacterial gastroenteritis. Disclosures All Authors: No reported disclosures

scholarly journals Nested Case-Control Studies With Multiple Measurements: Estimating Marginal Relationships

2021 ◽  
Author(s):  
Joshua N. Sampson ◽  
Paul S. Albert ◽  
Mark P. Purdue
Keyword(s):  
Conditional Logistic Regression ◽  
Case Control ◽  
Case Control Studies ◽  
Robust Variance ◽  
Non Hodgkin Lymphoma ◽  
Multiple Measurements ◽  
Matched Case ◽  
Nested Case Control ◽  
Standard Software ◽  
Single Time Point

Abstract Background: We consider the analysis of nested, matched, case-control studies that have multiple biomarker measurements per individual. We propose a simple approach for estimating the marginal relationship between a biomarker measured at a single time point and the risk of an event. We know of no other standard software package that can perform such analyses while explicitly accounting for the matching. Results: We propose an application of conditional logistic regression (CLR) that can include all measurements and uses a robust variance estimator. We compare our approach to other methods such as performing CLR with only the first measurement, CLR with an average of all measurements, and Generalized Estimating Equations. In simulations, our approach is significantly more powerful than CLR with one measurement or an average of all measurements, and has similar to power to GEE but correctly accounts for the matching. We then apply our approach to the CLUE cohort to show that an increased level of the immune marker sCD27 is associated with non‐Hodgkin lymphoma (NHL) and, by evaluating the strength of the association as a function of time until diagnosis, that the an increased level is likely an effect of the disease as opposed to a cause of the disease. The approach can be implemented by the R function clogitRV available at https://github.com/sampsonj74/clogitRV.Conclusion: We offered an approach and software for analyzing matched case-control studies with multiple measurements. We demonstrated that these methods are accurate, precise, and statistically powerful.

scholarly journals The case for case–control studies in the field of suicide prevention

2019 ◽  
Vol 29 ◽  
Author(s):  
Jane Pirkis ◽  
Angela Nicholas ◽  
David Gunnell
Keyword(s):  
Risk Factors ◽  
Stressful Life Events ◽  
Suicide Attempts ◽  
Hospital Admissions ◽  
Population Based ◽  
Case Control ◽  
Psychological Autopsy ◽  
Case Control Studies ◽  
Middle Income ◽  
Risk Factors For Suicide

Abstract Much of our knowledge about the risk factors for suicide comes from case–control studies that either use a psychological autopsy approach or are nested within large register-based cohort studies. We would argue that case–control studies are appropriate in the context of a rare outcome like suicide, but there are issues with using this design. Some of these issues are common in psychological autopsy studies and relate to the selection of controls (e.g. selection bias caused by the use of controls who have died by other causes, rather than live controls) and the reliance on interviewing informants (e.g. recall bias caused by the loved ones of cases having thought about the events leading up to the suicide in considerable detail). Register-based studies can overcome some of these problems because they draw upon contain information that is routinely collected for administrative purposes and gathered in the same way for cases and controls. However, they face issues that mean that psychological autopsy studies will still sometimes be the study design of choice for investigating risk factors for suicide. Some countries, particularly low and middle income countries, don't have sophisticated population-based registers. Even where they do exist, there will be variable of interest that are not captured by them (e.g. acute stressful life events that may immediately precede a suicide death), or not captured in a comprehensive way (e.g. suicide attempts and mental illness that do not result in hospital admissions). Future studies of risk factors should be designed to progress knowledge in the field and overcome the problems with the existing studies, particularly those using a case–control design. The priority should be pinning down the risk factors that are amenable to modification or mitigation through interventions that can successfully be rolled out at scale.

scholarly journals Importance of potentially inappropriate medications, number of chronic conditions and medications for the risk of hospitalisation in elderly in Sweden: a case–control study

BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e029477 ◽  
Author(s):  
Kristine Thorell ◽  
Patrik Midlöv ◽  
Johan Fastbom ◽  
Anders Halling
Keyword(s):  
Chronic Conditions ◽  
Case Control Study ◽  
Conditional Logistic Regression ◽  
Univariate Analysis ◽  
Case Control ◽  
Secondary Outcome ◽  
Potentially Inappropriate Medications ◽  
Full Model ◽  
Inappropriate Medications ◽  
Control Study

ObjectivesThis study aimed to investigate the importance of potentially inappropriate medications, number of medications and chronic conditions for the risk of hospitalisation among an elderly population.DesignThis is a case–control study.SettingPopulation-based study in 2013 of all individuals aged 75 years and older (17 203) in the county of Blekinge in the southeast of Sweden.ParticipantsA total of 2941 individuals were included who had at least one hospitalisation to a medical, geriatric and palliative, or orthopaedic ward during 2013. From this total, 81 were excluded because of incomplete data or absence of controls. In total, 5720 patients were included and formed 2860 risk sets matched on age and gender.Primary and secondary outcome measuresConditional logistic regression was used to analyse the odds for hospitalisation according to use of potentially inappropriate medication (PIM), number of chronic conditions and medicines using univariate and multivariate models. PIM was defined as long-acting benzodiazepines, tramadol, propiomazine and medicines with anticholinergic effect.ResultsThe univariate analysis for use of PIM showed a significant association with hospitalisation (OR 1.54, 95% CI 1.30 to 1.83). For the number of chronic conditions, the OR was increased and was significant from two or more chronic conditions, and for the number of medicines from the use of five or more medicines, in the univariate analysis. Use of PIM has no association with hospitalisation in the full model. The number of chronic conditions and medicines in the full models continued to have strong associations for hospitalisation, from five to seven chronic conditions (OR 1.86, 95% CI 1.49 to 2.33) and use of five to nine medicines (OR 1.46, 95% CI 1.21 to 1.77) at the same time.ConclusionThe number of chronic conditions and medications are important for the odds of hospitalisation, while the use of PIM, according to the definition used in this study, was no significant in the full model.

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