2
|
Ye C, Pu D, Zhang J, Jia M, Zhang Y, Du S, Wang J, Xiong X. Unlocking the link between temporomandibular disorders and suicide ideation in pre-orthodontic patients: A moderated mediation model of depression and anxiety. J Affect Disord 2024; 349:486-493. [PMID: 38199395 DOI: 10.1016/j.jad.2024.01.079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 12/29/2023] [Accepted: 01/04/2024] [Indexed: 01/12/2024]
Abstract
BACKGROUND Temporomandibular disorders (TMD) are a series of musculoskeletal diseases with high prevalence. A few studies have reported the correlation between TMD and suicide ideation (SI). However, the underlying mechanism of the relationship lacks in-depth exploration. METHODS A cross-sectional study was conducted among 954 pre-orthodontic patients. TMD assessment was based on the quintessential five TMD symptoms (5Ts) questionnaire. Anxiety, depression and pain catastrophizing was evaluated by Seven-item Generalized Anxiety Disorder Scale (GAD-7), Nine-item Patient Health Questionnaire (PHQ-9), and Pain Catastrophizing Scale (PCS), respectively. Correlational and moderated mediated analysis was preformed to demonstrate the relationship between TMD and SI. RESULTS In pre-orthodontic patients, 31.87 % reported having TMD symptoms and 6.50 % declared SI during the past two weeks. The SI prevalence was 10.53 % in participants with TMD and 4.62 % in those without TMD. Intra-articular TMD, rather than pain-related TMD were especially related with SI. Individuals with TMD had higher risk to SI (rs = 0.112, adjusted OR = 2.213, p < 0.001). The effect of TMD on SI was fully mediated through depression (β = 0.445, 95 % CI = [0.326, 0.563]). Anxiety exerted a negative moderating effect on the depression-SI relation (β = -0.033, 95 % CI = [-0.047, -0.019]). LIMITATIONS This study was a single-centered and cross-sectional survey. The data collection relied on self-reporting methods. CONCLUSIONS A positive link between TMD and SI was disclosed. The effect of TMD on SI was fully mediated through depression with anxiety as a negative moderator.
Collapse
Affiliation(s)
- Chengxinyue Ye
- State Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases and Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China
| | - Dan Pu
- State Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases and Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China; Department of Nursing, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China
| | - Jie Zhang
- State Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases and Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China
| | - Mao Jia
- State Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases and Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China; Department of Nursing, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China
| | - Yuyao Zhang
- State Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases and Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China; Department of Nursing, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China
| | - Shufang Du
- State Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases and Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China; Department of Nursing, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China
| | - Jun Wang
- State Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases and Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China.
| | - Xin Xiong
- State Key Laboratory of Oral Diseases, National Center for Stomatology, National Clinical Research Center for Oral Diseases and Department of Orthodontics, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, Sichuan, China.
| |
Collapse
|
3
|
Kapoor S, Freitag S, Bradshaw J, Valencia GT, Lamis DA. The collective impact of childhood abuse, psychache, and interpersonal needs on suicidal ideation among individuals with bipolar disorder: A discriminant analysis. CHILD ABUSE & NEGLECT 2023; 141:106202. [PMID: 37116450 DOI: 10.1016/j.chiabu.2023.106202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 03/30/2023] [Accepted: 04/14/2023] [Indexed: 06/05/2023]
Abstract
BACKGROUND Suicide is one of the ten leading causes of death in the United States. Childhood abuse, psychache (intense emotional pain), and interpersonal needs are widely known to be associated with suicidal thoughts and behaviors. However, only a limited number of studies investigate whether these variables, when analyzed collectively, are able to distinguish between a group of individuals who report suicidal ideation and those who deny such thoughts. PARTICIPANTS AND SETTING Data were collected from individuals (N =177) with a diagnosis of bipolar disorder participating in an intensive outpatient program that provides mental health care to indigent, mostly minority patients in Southeast United States. METHODS The dependent variable was item number 9 on the Beck Depression Inventory that asks about any suicidal thoughts in the past two weeks. We utilized discriminant analysis to test whether childhood abuse, interpersonal needs, and psychache were collectively able to accurately identify group membership of the study participants. RESULTS The discriminant model included six independent variables: three different types of childhood abuse (emotional, physical, and sexual), interpersonal needs (perceived burdensomeness and thwarted belongingness), and psychache. Results revealed that the model was able to correctly classify group membership in 75% of the individuals in the study. CONCLUSION In context of bipolar disorder, history of childhood abuse (particularly sexual and emotional abuse), intense psychache, and greater perceived thwarted belongingness and burdensomeness put an individual at a higher risk of suicidal ideation. Gaining insight into the interactions among these variables may lead to formulating early interventions to prevent suicide in patients reporting this constellation of symptoms.
Collapse
Affiliation(s)
- S Kapoor
- Department of Psychiatry and Psychology, Mayo Clinic, Scottsdale, AZ, United States of America
| | - S Freitag
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States of America
| | - J Bradshaw
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States of America
| | - G T Valencia
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States of America
| | - D A Lamis
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, United States of America.
| |
Collapse
|
4
|
Sheu YH, Sun J, Lee H, Castro VM, Barak-Corren Y, Song E, Madsen EM, Gordon WJ, Kohane IS, Churchill SE, Reis BY, Cai T, Smoller JW. An efficient landmark model for prediction of suicide attempts in multiple clinical settings. Psychiatry Res 2023; 323:115175. [PMID: 37003169 PMCID: PMC10267893 DOI: 10.1016/j.psychres.2023.115175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 03/16/2023] [Accepted: 03/18/2023] [Indexed: 04/03/2023]
Abstract
Growing evidence has shown that applying machine learning models to large clinical data sources may exceed clinician performance in suicide risk stratification. However, many existing prediction models either suffer from "temporal bias" (a bias that stems from using case-control sampling) or require training on all available patient visit data. Here, we adopt a "landmark model" framework that aligns with clinical practice for prediction of suicide-related behaviors (SRBs) using a large electronic health record database. Using the landmark approach, we developed models for SRB prediction (regularized Cox regression and random survival forest) that establish a time-point (e.g., clinical visit) from which predictions are made over user-specified prediction windows using historical information up to that point. We applied this approach to cohorts from three clinical settings: general outpatient, psychiatric emergency department, and psychiatric inpatients, for varying prediction windows and lengths of historical data. Models achieved high discriminative performance (area under the Receiver Operating Characteristic curve 0.74-0.93 for the Cox model) across different prediction windows and settings, even with relatively short periods of historical data. In short, we developed accurate, dynamic SRB risk prediction models with the landmark approach that reduce bias and enhance the reliability and portability of suicide risk prediction models.
Collapse
Affiliation(s)
- Yi-Han Sheu
- Center for Precision Psychiatry, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, 415 Main St, Cambridge, MA 02142, USA
| | - Jiehuan Sun
- Department of Epidemiology and Biostatistics, University of Illinois Chicago, 1603W. Taylor St., Chicago, IL 60612, USA
| | - Hyunjoon Lee
- Center for Precision Psychiatry, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA 02215, USA
| | - Victor M Castro
- Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA 02215, USA; Center for Quantitative Health, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA
| | - Yuval Barak-Corren
- Department of Pediatrics, Boston Children's Hospital, 300 Longwood Ave, Boston, MA 02115, USA; Schneider Children's Medical Center of Israel, 14 Kaplan Street, Petaẖ Tiqwa, Central, Israel
| | - Eugene Song
- Center for Precision Psychiatry, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA 02215, USA
| | - Emily M Madsen
- Center for Precision Psychiatry, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA 02215, USA
| | - William J Gordon
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA; Department of Medicine, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA
| | - Isaac S Kohane
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA; Department of Medicine, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA
| | - Susanne E Churchill
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA; Department of Medicine, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, USA
| | - Ben Y Reis
- Department of Pediatrics, Boston Children's Hospital, 300 Longwood Ave, Boston, MA 02115, USA; Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA
| | - Tianxi Cai
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck Street, Boston, MA 02115, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA; Translational Data Science Center for a Learning Health System, Harvard University, 677 Huntington Avenue, Boston, MA, USA
| | - Jordan W Smoller
- Center for Precision Psychiatry, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, 185 Cambridge Street, Boston, MA 02114, USA; Department of Psychiatry, Harvard Medical School, 401 Park Drive, Boston, MA 02215, USA; Broad Institute of MIT and Harvard, 415 Main St, Cambridge, MA 02142, USA.
| |
Collapse
|
5
|
Huber RS, Boxer D, Smith CJ, Renshaw PF, Yurgelun-Todd DA, Kondo DG. Detailed assessment of suicidal ideation in youth with bipolar disorder versus major depressive disorder. Bipolar Disord 2023; 25:200-208. [PMID: 36606348 PMCID: PMC10525907 DOI: 10.1111/bdi.13294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
OBJECTIVES There is a critical need to better understand the factors underlying the increased suicide risk for youth with bipolar disorder (BD) in order to develop targeted prevention efforts. This study aimed to examine differences in characteristics of suicide ideation (SI) in youth with BD compared to youth with major depressive disorder (MDD) that may be associated with increased suicide risk. METHODS One hundred and fifty-one participants (92 MDD and 59 BD), ages 13-21, completed a diagnostic interview and clinical assessments. Lifetime symptoms of SI and SA were assessed using the Columbia Suicide Severity Rating Scale. Ordinal logistic regression models were used to investigate whether the diagnostic group predicted the severity and intensity of the most severe or most common SI with the age of onset, age, and gender as covariates. RESULTS Compared to MDD youth, BD youth were more likely to report experiencing more severe SI, p = 0.039, experiencing the most severe SI more frequently, p = 0.002, having less control of the most severe SI, p = 0.012, and that deterrents were less likely to stop them from acting on the most severe SI, p = 0.006. CONCLUSION This study highlights differences in the severity and intensity of SI in youth with BD and suggests that youth with BD have greater difficulty inhibiting thoughts of SI which may lead to less resistance to suicide action. Findings underscore the need for a more detailed assessment of SI in youth with BD to better understand SI as a proximal risk factor for future SA and a potential target for intervention.
Collapse
Affiliation(s)
- Rebekah S. Huber
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Danielle Boxer
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Calen J. Smith
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Perry F. Renshaw
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah, USA
- U.S. Department of Veterans Affairs, Rocky Mountain Mental Illness Research, Education and Clinical Center, Salt Lake City, Utah, USA
| | - Deborah A. Yurgelun-Todd
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah, USA
- U.S. Department of Veterans Affairs, Rocky Mountain Mental Illness Research, Education and Clinical Center, Salt Lake City, Utah, USA
| | - Douglas G. Kondo
- Department of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah, USA
- U.S. Department of Veterans Affairs, Rocky Mountain Mental Illness Research, Education and Clinical Center, Salt Lake City, Utah, USA
| |
Collapse
|