Psychosocial Factors, Pro-Inflammatory Markers & Serum Lipids among Patients with Suicidal Ideation & Suicidal Attempts
Notice bibliographique
Résumé
Background: Suicide is a worldwide serious problem. It is a leading cause of death, accounting for 1.3% of all deaths worldwide in 2019 and Approximately 703,000 people die by suicide every year. We aimed to study the personal, cognitive, psychosocial, personality traits, psychopathological, pro-inflammatory markers & serum lipids differences between patients with suicidal ideation and patients with suicidal attempts and to assess predictor factors that make suicidal ideation convert to suicidal attempt.
 Subjects and Methods: This cross-sectional case control study was carried on participant aged 18 – 50 years, both sexes. Suicidal behavior of the study sample was assessed using Beck Scale for Suicidal Ideation (BSSI) & participants were classified into three equal groups according to their score in BSSI and their history of recent suicidal attempt (suicidal ideation group, suicidal attempt group & control group). Participants’ sociodemographic data were evaluated by a questionnaire designed by the researcher and reviewed by experts. Psychiatric assessment was done using the Mini-International Neuropsychiatric Interview (MINI). Socioeconomic status & cognitive functions were assessed by the socioeconomic status scale for health research in Egypt & the Montreal Cognitive Assessment (MoCA) test, respectively. Personality was assessed by short form of EPQ-R (Revised Eysenck Personality Questionnaire). Assessment of impulsivity & stress were done by using the Barratt Impulsiveness Scale (BIS-11) & the Hassles and Uplifts Scale (HUS), respectively. Hamilton Depression Rating Scale (HAM-D), Hamilton Anxiety Rating Scale (HAM-A) & the Positive and Negative Syndrome Scale (PANSS) were applied to determine the symptom severity in those diagnosed with depressive, anxiety & psychotic disorders.
 Results: Suicidal ideations & attempts were more common among psychiatric patients especially those suffering from depression. Suicidal behavior was associated with increased severity of depressive & anxiety symptoms. The most common method of suicidal attempts among females was drug overdose, while males used self-poisoning as the most popular method in attempting suicide. Risk of suicidal ideation & attempts increased in the following situations: younger age groups especially below 35 years, female gender, substance abuse, low socioeconomic level, past history & family history of suicidal behavior, neuroticism, psychoticism & introversion personality traits, impulsivity, high daily stress levels, increase in the severity of depressive & anxiety disorders, elevated [ESR, Hs-CRP & IL-6], lowered [total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL) & triglycerides (TG)]. The following factors protected from suicidal behaviors: marriage, work and having jobs, Family and social support, playing sports, having hobbies & higher socioeconomic levels.
 Risk factors for transition of participants from suicidal ideation to suicidal attempt included female gender, being unmarried & unemployed, low socioeconomic level, poor social support, past history of suicidal behavior, neuroticism personality traits, impulsivity, high stress levels, depressive disorders, elevated [Hs-CRP & IL-6], and low [TC, LDL & TG]. Protective factors against transition from suicidal ideation to attempt included playing sports & extraversion personality traits.
 Conclusion: The problem of suicide is a frequent and a multifaceted problem among the general population.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,014 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».