1
|
Chen J, Wang DM, Fan F, Fu F, Wei D, Tang S, Tian Y, Du Y, Zhu R, Li Y, Wang L, Zhang XY. Prevalence, demographics, and cognitive dysfunction among methamphetamine-dependent individuals with childhood maltreatment. J Psychiatr Res 2022; 153:182-188. [PMID: 35820226 DOI: 10.1016/j.jpsychires.2022.07.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 06/14/2022] [Accepted: 07/04/2022] [Indexed: 10/17/2022]
Abstract
Previous studies have shown that dependent individuals (DIs) have higher rates of childhood maltreatment and poorer cognitive performance compared with healthy controls. However, little attention has been paid to the cognitive dysfunction of DIs with childhood maltreatment. The purpose of this study was to explore the cognitive deficits of maltreated methamphetamine-dependent individuals (METH-DIs) using a cross-sectional and case-control design. In addition, we aimed to examine the prevalence of childhood maltreatment and the demographic and clinical characteristics of Chinese male METH-DIs. 330 METH-DIs and 143 healthy controls were recruited and completed a detailed questionnaire on demographic and drug-related variables. Childhood abuse data were collected from the Childhood Trauma Questionnaire-Short Form (CTQ-SF). Cognitive function was assessed by the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). The Beck Depression Inventory, Beck Anxiety Inventory, and Visual Analogue Scale (VAS) were used to assess the clinical state of the METH-DIs. 166 of 326 (50.9%) METH-DIs had experienced at least one type of childhood maltreatment. Maltreated METH-DIs were more likely to have a lower level of education (t324 = 5.81, p < 0.001), a higher level of depression(t324 = -2.68, p < 0.01), and a younger onset age of drug use (t324 = 3.58, p < 0.01) than METH-DIs who had no experience of childhood maltreatment. Maltreated METH-DIs also performed worse on the RBANS attention score than METH-DIs who did not experience maltreatment (F1,324 = 15.41, p < 0.001, partial η2 = 0.05). Our findings revealed that some demographic and clinical variables were associated with maltreatment among METH-DIs. Moreover, attention dysfunction was found in maltreated METH-DIs, which conforms to the theory of latent vulnerability.
Collapse
Affiliation(s)
- Jiajing Chen
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Dong Mei Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
| | - Fusheng Fan
- Xin Hua Drug Rehabilitation Center, Sichuan, China
| | - Fabing Fu
- Xin Hua Drug Rehabilitation Center, Sichuan, China
| | - Dejun Wei
- Xin Hua Drug Rehabilitation Center, Sichuan, China
| | | | - Yang Tian
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Yuxuan Du
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Rongrong Zhu
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Yuqing Li
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Li Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Xiang-Yang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
| |
Collapse
|
2
|
Guo L, Wang W, Du X, Guo Y, Li W, Zhao M, Wu R, Lu C. Associations of Substance Use Behaviors With Suicidal Ideation and Suicide Attempts Among US and Chinese Adolescents. Front Psychiatry 2020; 11:611579. [PMID: 33536951 PMCID: PMC7848020 DOI: 10.3389/fpsyt.2020.611579] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 12/14/2020] [Indexed: 12/28/2022] Open
Abstract
Background: Adolescence has been described as a period of increased health risk-taking behaviors. Given the variety of cultural contexts, healthcare systems, and public health policies in different regions, the present study aimed to determine whether there are similar or different associations of substance use behaviors with suicidal ideation and suicide attempts among US and Chinese adolescents. Methods: This study included a total of 14,765 US adolescents from the 2017 National Youth Risk Behavior Surveillance System (YRBSS) and 24,345 Chinese adolescents from the 2017 School-based Chinese Adolescents Health Survey (SCAHS). Results: The proportions of suicidal ideation and suicide attempts were 17.4 and 5.7% among US adolescents, which were higher than those among Chinese adolescents (suicidal ideation: 13.7% and suicide attempts: 2.7%). Among Chinese adolescents, the most common substance use behavior was "alcohol use (55.4%)," followed by "cigarette use (11.6%)." Among US adolescents, the most popular substance was alcohol (ever used: 55.9%), followed by marijuana (ever used: 34.6%). Moreover, alcohol use was significantly related to suicidal ideation/suicide attempts only in Chinese adolescents [suicidal ideation: Adjusted odds ratio (AOR) = 1.88, 95% CI = 1.71~2.06; suicide attempts: AOR = 2.12, 95% CI = 1.71~2.63], and marijuana use was associated with suicidal ideation and suicide attempts only in the US adolescent group (suicidal ideation: AOR = 1.23, 95% CI = 1.06~1.44; suicide attempts: AOR = 1.51, 95% CI = 1.21~1.87). Moreover, although the associations of prescription pain medication use with suicide attempts were significant in both Chinese and US adolescent groups, the adjusted associations were stronger in Chinese adolescents than in US adolescents (Chinese adolescents: AOR = 3.97, 95% CI = 2.76~5.72; US adolescents: AOR = 1.76, 95% CI = 1.43~2.16; P < 0.05). Conclusions: The associations of alcohol use with suicidal ideation and suicide attempts were only significant in Chinese adolescents. Marijuana use was associated with suicidal ideation and suicide attempts only in the US adolescent group. Although the associations of prescription pain medication use with suicide attempts were significant in both Chinese and US adolescent groups, the adjusted associations were significantly stronger for Chinese adolescents. These findings might be related to the differences in cultural contexts, healthcare systems, and public health policies in the two different countries.
Collapse
Affiliation(s)
- Lan Guo
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, China.,Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, China
| | - Wanxin Wang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, China.,Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, China
| | - Xueying Du
- Health Promotion Centre for Primary and Secondary Schools of Guangzhou Municipality, Guangzhou, China
| | - Yangfeng Guo
- Health Promotion Centre for Primary and Secondary Schools of Guangzhou Municipality, Guangzhou, China
| | - Wenyan Li
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, China.,Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, China
| | - Meijun Zhao
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, China.,Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, China
| | - Ruipeng Wu
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, China.,Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, China
| | - Ciyong Lu
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-sen University, Guangzhou, China.,Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, China
| |
Collapse
|