Factors associated with suicide ideation in patients of a Peruvian Hospital

Chavez-Cáceres, Rosa; Luna-Muñoz, Consuelo; Mendoza-Cernaqué, Sandra; Ubillus, José Jacinto; Lopez, Lucy Correa

doi:10.25176/rfmh.v20i3.3054

Cited by 2 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…No signi cant gender-related SI data were reported (9). In Peru, a study revealed a female predominance in its sample, married or cohabiting individuals (68.2%), with a higher prevalence of SI in patients with a secondary education or higher and in young hospitalized patients (34).…”

Section: Discussionmentioning

confidence: 95%

Sociodemographic and Clinical Determinants of Suicidal Ideation: An Analysis in a Peruvian Consultation-Liaison Psychiatry Unit

Huarcaya-Victoria,

Salvador-Carillo,

Cabrejos-Espinoza

et al. 2024

Preprint

View full text Add to dashboard Cite

Background Suicidal ideation (SI) poses a significant global health concern, particularly among hospitalized individuals, with gaps in understanding its contributing factors in low and middle-income countries like Peru. Methods Utilizing a cross-sectional design, this study examined 940 patients evaluated by the Consultation-Liaison Psychiatry Unit at a major Peruvian general hospital. Sociodemographic and clinical characteristics were assessed, employing standardized instruments such as the Patient Health Questionnaire-9 (PHQ-9), General Anxiety Disorder Scale (GAD-7), Patient Health Questionnaire-15 (PHQ-15), and Clinical Global Impressions (CGI). The prevalence of SI and its associations were explored through bivariate and multivariate analyses. Results The prevalence of SI was 19.7%, with notable associations found in patients experiencing moderate-to-severe depression (36.8%) and those rated as moderately to severely ill on CGI (33.2%). Multivariate analysis confirmed these associations, emphasizing the impact of retirement (aPR = 1.53, 95% CI = 1.04–2.26, p = 0.032), clinical severity (aPR = 1.41, 95% CI = 1.22–1.63, p < 0.0001), and depressive symptoms (aPR = 2.98, 95% CI = 2.13–4.17, p < 0.0001) on SI. Conclusion This study provides essential insights into SI factors among hospitalized patients. Identifying risk factors, like retirement and clinical severity, underscores the importance of targeted interventions in the Peruvian general hospital context.

show abstract

Section: Discussionmentioning

confidence: 95%

Sociodemographic and Clinical Determinants of Suicidal Ideation: An Analysis in a Peruvian Consultation-Liaison Psychiatry Unit

Huarcaya-Victoria,

Salvador-Carillo,

Cabrejos-Espinoza

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The Scale for Suicide Ideation -Worst (SSI-W) is a 19-item instrument, with each item having three response options (0 to 2 points), which suggest an increasing level of risk, seriousness, and intensity of suicidal behavior (Beck et al, 1979). BIS has optimal reliability values in the overall dimension (α=0.79) (Eugenio Torres & Zelada Alcántara, 2011) and has been used in studies in the Peruvian context (Chavez-Cáceres et al, 2020). We dichotomized the presence of suicidal ideation based on scores ≥14 (Beck et al, 1999).…”

Section: Suicidal Ideationmentioning

confidence: 99%

An explanatory model of suicidal ideation based on family functionality and mental health problems: A cross-sectional study of medical students

Aguilar-Sigueñas

Villarreal-Zegarra

2022

Interacciones

View full text Add to dashboard Cite

Background: One of the mental health problems with the greatest impact on people's lives is suicidal behavior, a largely preventable public health problem that accounts for almost half of all violent deaths. The aim of the study is to propose a model that can explain and predict suicidal ideation based on mental health problems (stress-anxiety-depression) and family functionality (cohesion, flexibility, and cohesion). Methods: Our study is cross-sectional. The population consisted of medical interns from all over Peru. Non-probability sampling was used. We used Family Cohesion and Adaptability Evaluation Scale (FACES-III), Family Communication Scale, Family Satisfaction Scale, Depression Anxiety and Stress Scales (DASS-21), and the Scale for Suicide Ideation – Worst (SSI-W). Results: A total of 480 participants were included. The prevalence of suicidal ideation was 39Poisson regression analysis adjusted identified that people with anxiety symptoms were more than four times more likely to have suicidal ideation (PR=4.89; 95% CI:1.90-12.64). Also, people with moderate to high levels of family communication were much less likely to have suicidal ideation (PR= 0.07; 95% CI: 0.01-0.41), making it a protective factor. The proposed model presented optimal goodness-of-fit indices (CFI=0.974; TLI=0.974; SRMR=0.055; RMSEA=0.062). In addition, the proposed model can explain the presence of suicidal ideation in 88.3% (R2=0.883). Conclusions: Our model can explain 88.3% of suicidal behavior based on family relationships and mental health problems in medical interns. In addition, the variables that alone were most associated with suicidal behavior were anxious symptoms and family communication as risk factors and protective factors, respectively.

show abstract

Factors associated with suicide ideation in patients of a Peruvian Hospital

Cited by 2 publications

References 6 publications

Sociodemographic and Clinical Determinants of Suicidal Ideation: An Analysis in a Peruvian Consultation-Liaison Psychiatry Unit

Sociodemographic and Clinical Determinants of Suicidal Ideation: An Analysis in a Peruvian Consultation-Liaison Psychiatry Unit

An explanatory model of suicidal ideation based on family functionality and mental health problems: A cross-sectional study of medical students

Contact Info

Product

Resources

About