Painful physical symptoms and antidepressant treatment outcome in depression: a systematic review and meta-analysis.

BACKGROUND: Painful physical symptoms (PPS) are highly prevalent in patients with major depressive disorder (MDD). Presence of PPS in depressed patients are potentially associated with poorer antidepressant treatment outcome. We aimed to evaluate the association of baseline pain levels and antidepressant treatment outcomes. METHODS: We searched PubMed, Embase and Cochrane Library databases from inception through February 2023 based on a pre-registered protocol (PROSPERO: CRD42022381349). We included original studies that reported pretreatment pain measures in antidepressant treatment responder/remitter and non-responder/non-remitter among patients with MDD. Data extraction and quality assessment were performed following the Preferred Reporting Items for Systematic Reviews and Meta-analyses by two reviewers independently. The primary outcome was the difference of the pretreatment pain levels between antidepressant treatment responder/remitter and non-responder/non-remitter. Random-effects meta-analysis was used to calculate effect sizes (Hedge's g) and subgroup and meta-regression analyses were used to explore sources of heterogeneity. RESULTS: A total of 20 studies were included. Six studies reported significantly higher baseline pain severity levels in MDD treatment non-responders (Hedge's g = 0.32; 95% CI, 0.13-0.51; P = 0.0008). Six studies reported the presence of PPS (measured using a pain severity scale) was significantly associated with poor treatment response (OR = 1.46; 95% CI, 1.04-2.04; P = 0.028). Five studies reported significant higher baseline pain interference levels in non-responders (Hedge's g = 0.46; 95% CI, 0.32-0.61; P < 0.0001). Four studies found significantly higher baseline pain severity levels in non-remitters (Hedge's g = 0.27; 95% CI, 0.14-0.40; P < 0.0001). Eight studies reported the presence of PPS significantly associated with treatment non-remission (OR = 1.70; 95% CI, 1.24-2.32; P = 0.0009). CONCLUSIONS: This study suggests that PPS are negatively associated with the antidepressant treatment outcome in patients with MDD. It is possible that better management in pain conditions when treating depression can benefit the therapeutic effects of antidepressant medication in depressed patients.

Association between alcohol consumption and sleep traits: observational and mendelian randomization studies in the UK biobank.

Previous studies have shown that excessive alcohol consumption is associated with poor sleep. However, the health risks of light-to-moderate alcohol consumption in relation to sleep traits (e.g., insomnia, snoring, sleep duration and chronotype) remain undefined, and their causality is still unclear in the general population. To identify the association between alcohol consumption and multiple sleep traits using an observational and Mendelian randomization (MR) design. Observational analyses and one-sample MR (linear and nonlinear) were performed using clinical and individual-level genetic data from the UK Biobank (UKB). Two-sample MR was assessed using summary data from genome-wide association studies from the UKB and other external consortia. Phenotype analyses were externally validated using data from the National Health and Nutrition Examination Survey (2017-2018). Data analysis was conducted from January 2022 to October 2022. The association between alcohol consumption and six self-reported sleep traits (short sleep duration, long sleep duration, chronotype, snoring, waking up in the morning, and insomnia) were analysed. This study included 383,357 UKB participants (mean [SD] age, 57.0 [8.0] years; 46% male) who consumed a mean (SD) of 9.0 (10.0) standard drinks (one standard drink equivalent to 14 g of alcohol) per week. In the observational analyses, alcohol consumption was significantly associated with all sleep traits. Light-moderate-heavy alcohol consumption was linearly linked to snoring and the evening chronotype but nonlinearly associated with insomnia, sleep duration, and napping. In linear MR analyses, a 1-SD (14 g) increase in genetically predicted alcohol consumption was associated with a 1.14-fold (95% CI, 1.07-1.22) higher risk of snoring (P < 0.001), a 1.28-fold (95% CI, 1.20-1.37) higher risk of evening chronotype (P < 0.001) and a 1.24-fold (95% CI, 1.13-1.36) higher risk of difficulty waking up in the morning (P < 0.001). Nonlinear MR analyses did not reveal significant results after Bonferroni adjustment. The results of the two-sample MR analyses were consistent with those of the one-sample MR analyses, but with a slightly attenuated overall estimate. Our findings suggest that even low levels of alcohol consumption may affect sleep health, particularly by increasing the risk of snoring and evening chronotypes. The negative effects of alcohol consumption on sleep should be made clear to the public in order to promote public health.

A systematic review and meta-analysis of long term physical and mental sequelae of COVID-19 pandemic: call for research priority and action.

The long-term physical and mental sequelae of COVID-19 are a growing public health concern, yet there is considerable uncertainty about their prevalence, persistence and predictors. We conducted a comprehensive, up-to-date meta-analysis of survivors' health consequences and sequelae for COVID-19. PubMed, Embase and the Cochrane Library were searched through Sep 30th, 2021. Observational studies that reported the prevalence of sequelae of COVID-19 were included. Two reviewers independently undertook the data extraction and quality assessment. Of the 36,625 records identified, a total of 151 studies were included involving 1,285,407 participants from thirty-two countries. At least one sequelae symptom occurred in 50.1% (95% CI 45.4-54.8) of COVID-19 survivors for up to 12 months after infection. The most common investigation findings included abnormalities on lung CT (56.9%, 95% CI 46.2-67.3) and abnormal pulmonary function tests (45.6%, 95% CI 36.3-55.0), followed by generalized symptoms, such as fatigue (28.7%, 95% CI 21.0-37.0), psychiatric symptoms (19.7%, 95% CI 16.1-23.6) mainly depression (18.3%, 95% CI 13.3-23.8) and PTSD (17.9%, 95% CI 11.6-25.3), and neurological symptoms (18.7%, 95% CI 16.2-21.4), such as cognitive deficits (19.7%, 95% CI 8.8-33.4) and memory impairment (17.5%, 95% CI 8.1-29.6). Subgroup analysis showed that participants with a higher risk of long-term sequelae were older, mostly male, living in a high-income country, with more severe status at acute infection. Individuals with severe infection suffered more from PTSD, sleep disturbance, cognitive deficits, concentration impairment, and gustatory dysfunction. Survivors with mild infection had high burden of anxiety and memory impairment after recovery. Our findings suggest that after recovery from acute COVID-19, half of survivors still have a high burden of either physical or mental sequelae up to at least 12 months. It is important to provide urgent and appropriate prevention and intervention management to preclude persistent or emerging long-term sequelae and to promote the physical and psychiatric wellbeing of COVID-19 survivors.

A systematic review and meta-analysis on the prevalence of stigma in infectious diseases, including COVID-19: a call to action.

Infectious diseases, including COVID-19, are crucial public health issues and may lead to considerable fear among the general public and stigmatization of, and discrimination against, specific populations. This meta-analysis aimed to estimate the pooled prevalence of stigma in infectious disease epidemics. We systematically searched PubMed, PsycINFO, Embase, MEDLINE, Web of Science, and Cochrane databases since inception to June 08, 2021, and reported the prevalence of stigma towards people with infectious diseases including SARS, H1N1, MERS, Zika, Ebola, and COVID-19. A total of 50 eligible articles were included that contributed 51 estimates of prevalence in 92722 participants. The overall pooled prevalence of stigma across all populations was 34% [95% CI: 28-40%], including enacted stigma (36% [95% CI: 28-44%]) and perceived stigma (31% [95% CI: 22-40%]). The prevalence of stigma in patients, community population, and health care workers, was 38% [95% CI: 12- 65%], 36% [95% CI: 28-45%], and 30% [95% CI: 20-40%], respectively. The prevalence of stigma in participants from low- and middle-income countries was 37% [95% CI: 29-45%], which is higher than that from high-income countries (27% [95% CI: 18-36%]) though this difference was not statistically significant. A similar trend of prevalence of stigma was also observed in individuals with lower education (47% [95% CI: 23-71%]) compared to higher education level (33% [95% CI: 23-4%]). These findings indicate that stigma is a significant public health concern, and effective and comprehensive interventions are needed to counteract the damaging effects of the infodemics during infectious disease epidemics, including COVID-19, and reduce infectious disease-related stigma.

A systematic review and meta-analysis on prevalence of and risk factors associated with depression, anxiety and insomnia in infectious diseases, including COVID-19: a call to action.

Infectious disease epidemics have become more frequent and more complex during the 21st century, posing a health threat to the general public and leading to psychological symptoms. The current study was designed to investigate the prevalence of and risk factors associated with depression, anxiety and insomnia symptoms during epidemic outbreaks, including COVID-19. We systematically searched the PubMed, Embase, Web of Science, OVID, Medline, Cochrane databases, bioRxiv and medRxiv to identify studies that reported the prevalence of depression, anxiety or insomnia during infectious disease epidemics, up to August 14th, 2020. Prevalence of mental symptoms among different populations including the general public, health workers, university students, older adults, infected patients, survivors of infection, and pregnant women across all types of epidemics was pooled. In addition, prevalence of mental symptoms during COVID-19 was estimated by time using meta-regression analysis. A total of 17,506 papers were initially retrieved, and a final of 283 studies met the inclusion criteria, representing a total of 948,882 individuals. The pooled prevalence of depression ranged from 23.1%, 95% confidential intervals (95% CI: [13.9-32.2]) in survivors to 43.3% (95% CI: [27.1-59.6]) in university students, the pooled prevalence of anxiety ranged from 25.0% (95% CI: [12.0-38.0]) in older adults to 43.3% (95% CI: [23.3-63.3]) in pregnant women, and insomnia symptoms ranged from 29.7% (95% CI: [24.4-34.9]) in the general public to 58.4% (95% CI: [28.1-88.6]) in university students. Prevalence of moderate-to-severe mental symptoms was lower but had substantial variation across different populations. The prevalence of mental problems increased over time during the COVID-19 pandemic among the general public, health workers and university students, and decreased among infected patients. Factors associated with increased prevalence for all three mental health symptoms included female sex, and having physical disorders, psychiatric disorders, COVID infection, colleagues or family members infected, experience of frontline work, close contact with infected patients, high exposure risk, quarantine experience and high concern about epidemics. Frequent exercise and good social support were associated with lower risk for these three mental symptoms. In conclusion, mental symptoms are common during epidemics with substantial variation across populations. The population-specific psychological crisis management are needed to decrease the burden of psychological problem and improve the mental wellbeing during epidemic.

Risk factors for poor progression of addictive internet use across different COVID-19 periods in China.

BACKGROUND AND OBJECTIVES: Addictive behaviors are serious factors for mental health and usually increase during public crises. We identified the vulnerable characteristics for bad prognosis of addictive internet use across different periods of the coronavirus disease 2019 (COVID-19) pandemic. METHODS: Self-reported questionnaires were delivered in three waves through jdh.com during the outbreak (n = 17,960), remission (n = 15,666), and dynamic zero (n = 12,158) periods of COVID-19 pandemic in China. Internet addiction degree was assessed using the Internet Addiction Test. The different progression groups were divided using a latent class growth model among 1679 longitudinal participants. Risk factors for bad progression were identified by two-step logistic regression. RESULTS: A total of 40.16% of participants reported an increase in the addictive degree of internet use compared with prepandemic. Across different COVID-19 periods, the overall trend of addictive internet use was downward among general Chinese study participants (Mslope = -1.56). Childhood traumatic experiences, deterioration of physical health, depression, and anxiety during remission and dynamic periods were the main risk factors for the bad progression of pandemic-induced addictive internet use. DISCUSSION AND CONCLUSIONS: Addictive internet use was remitted following relaxed control policies during the COVID-19 pandemic. Negative childhood experiences and bad mental status during the recovery period were harmful to coping with pandemic-related addictive internet use. SCIENTIFIC SIGNIFICANCE: Our findings profiled the general trend of addictive internet use and the vulnerable characteristics of its bad progression across different periods of the first wave of COVID-19 pandemic in China. Our findings provide valuable insights for preventing the long-term adverse effects of negative public events on Internet addiction.

[Challenges of and Responses to Mental Health Problems in the Post-COVID-19 Era].

Since the first outbreak of the coronavirus disease 2019 (COVID-19), prevention and control of the pandemic remains a grim issue because of the continuous emergence of new variants of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus causing COVID-19, and the constant emergence of new domestic outbreaks. During the COVID-19 pandemic, mental and psychological problems have increased significantly among different populations, including patients of COVID-19 and their families, health workers, college students, adolescents, children, and even the general population. At present, the COVID-19 epidemic situation in China is rather complicated. The general population is confronted with a variety of challenges, including the threat of infection or reinfection, lower efficiency in study and work, and reduced incomes, and is hence experiencing many mental health problems related to the epidemic situation. Therefore, the relevant governmental departments and health institutions in China have attached high importance to the mental health issue in the process of implementing pandemic control measures of COVID-19. Close collaboration to implement the required epidemic prevention and control measures, improvements in the mental health services for public health emergencies in China, and commitment to the protection of the mental health and well-being of the people in the post-pandemic era have become the top priorities for now. Based on a review of the mental health problems related to COVID-19 pandemic, we suggested strategies to deal with mental health problems in the post-COVID-19 era.

Gut microbiota modulates the inflammatory response and cognitive impairment induced by sleep deprivation.

Sleep deprivation (SD) is increasingly common in modern society, which can lead to the dysregulation of inflammatory responses and cognitive impairment, but the mechanisms remain unclear. Emerging evidence suggests that gut microbiota plays a critical role in the pathogenesis and development of inflammatory and psychiatric diseases, possibly via gut microbiota-brain interactions and neuroinflammation. The present study investigated the impact of SD on gut microbiota composition and explored whether alterations of the gut microbiota play a causal role in chronic inflammatory states and cognitive impairment that are induced by SD. We found that SD-induced gut dysbiosis, inflammatory responses, and cognitive impairment in humans. Moreover, the absence of the gut microbiota suppressed inflammatory response and cognitive impairment induced by SD in germ-free (GF) mice. Transplantation of the "SD microbiota" into GF mice activated the Toll-like receptor 4/nuclear factor-κB signaling pathway and impaired cognitive function in the recipient mice. Mice that harbored "SD microbiota" also exhibited increases in neuroinflammation and microglial activity in the hippocampus and medial prefrontal cortex. These findings indicate that gut dysbiosis contributes to both peripheral and central inflammatory processes and cognitive deficits that are induced by SD, which may open avenues for potential interventions that can relieve the detrimental consequences of sleep loss.

Prevalence of posttraumatic stress disorder after infectious disease pandemics in the twenty-first century, including COVID-19: a meta-analysis and systematic review.

Pandemics have become more frequent and more complex during the twenty-first century. Posttraumatic stress disorder (PTSD) following pandemics is a significant public health concern. We sought to provide a reliable estimate of the worldwide prevalence of PTSD after large-scale pandemics as well as associated risk factors, by a systematic review and meta-analysis. We systematically searched the MedLine, Embase, PsycINFO, Web of Science, CNKI, WanFang, medRxiv, and bioRxiv databases to identify studies that were published from the inception up to August 23, 2020, and reported the prevalence of PTSD after pandemics including sudden acute respiratory syndrome (SARS), H1N1, Poliomyelitis, Ebola, Zika, Nipah, Middle Eastern respiratory syndrome coronavirus (MERS-CoV), H5N1, and coronavirus disease 2019 (COVID-19). A total of 88 studies were included in the analysis, with 77 having prevalence information and 70 having risk factors information. The overall pooled prevalence of post-pandemic PTSD across all populations was 22.6% (95% confidence interval (CI): 19.9-25.4%, I2: 99.7%). Healthcare workers had the highest prevalence of PTSD (26.9%; 95% CI: 20.3-33.6%), followed by infected cases (23.8%: 16.6-31.0%), and the general public (19.3%: 15.3-23.2%). However, the heterogeneity of study findings indicates that results should be interpreted cautiously. Risk factors including individual, family, and societal factors, pandemic-related factors, and specific factors in healthcare workers and patients for post-pandemic PTSD were summarized and discussed in this systematic review. Long-term monitoring and early interventions should be implemented to improve post-pandemic mental health and long-term recovery.

Depression and anxiety in relation to cancer incidence and mortality: a systematic review and meta-analysis of cohort studies.

The link between depression and anxiety status and cancer outcomes has been well-documented but remains unclear. We comprehensively quantified the association between depression and anxiety defined by symptom scales or clinical diagnosis and the risk of cancer incidence, cancer-specific mortality, and all-cause mortality in cancer patients. Pooled estimates of the relative risks (RRs) for cancer incidence and mortality were performed in a meta-analysis by random effects or fixed effects models as appropriate. Associations were tested in subgroups stratified by different study and participant characteristics. Fifty-one eligible cohort studies involving 2,611,907 participants with a mean follow-up period of 10.3 years were identified. Overall, depression and anxiety were associated with a significantly increased risk of cancer incidence (adjusted RR: 1.13, 95% CI: 1.06-1.19), cancer-specific mortality (1.21, 1.16-1.26), and all-cause mortality in cancer patients (1.24, 1.13-1.35). The estimated absolute risk increases (ARIs) associated with depression and anxiety were 34.3 events/100,000 person years (15.8-50.2) for cancer incidence and 28.2 events/100,000 person years (21.5-34.9) for cancer-specific mortality. Subgroup analyses demonstrated that clinically diagnosed depression and anxiety were related to higher cancer incidence, poorer cancer survival, and higher cancer-specific mortality. Psychological distress (symptoms of depression and anxiety) was related to higher cancer-specific mortality and poorer cancer survival but not to increased cancer incidence. Site-specific analyses indicated that overall, depression and anxiety were associated with an increased incidence risks for cancers of the lung, oral cavity, prostate and skin, a higher cancer-specific mortality risk for cancers of the lung, bladder, breast, colorectum, hematopoietic system, kidney and prostate, and an increased all-cause mortality risk in lung cancer patients. These analyses suggest that depression and anxiety may have an etiologic role and prognostic impact on cancer, although there is potential reverse causality; Furthermore, there was substantial heterogeneity among the included studies, and the results should be interpreted with caution. Early detection and effective intervention of depression and anxiety in cancer patients and the general population have public health and clinical importance.

Cognitive improvement among abstinent methamphetamine users: A 2-year prospective longitudinal study.

BACKGROUND AND OBJECTIVES: The adverse impact of chronic methamphetamine (MA) use on cognitive function has been described in previous studies, but limited evidence is available for abstinent users from prospective longitudinal studies. The aim of the present study was to assess cognitive function of varying abstinent duration. METHODS: This prospective longitudinal study was conducted with baseline and four follow-up interviews every 6 months over 2 years in 358 MA users in Guangdong province, China. The Montreal Cognitive Assessment (MoCA) was used to measure cognitive function. Generalized estimating equation (GEE) analysis was used to examine within-subjects relationships between abstinence and cognitive consequences over time. RESULTS: The repeated measure analysis of variance showed significant differences in the total MoCA score and all subscale scores (except Orientation) in the 24 months follow-up. The GEE model showed that abstinence from MA in the past 6 months predicted an increase of 0.66 (95% confidence interval [CI] = 0.29 to 1.05, p = .002) in MoCA score changes compared with the nonabstinence MA users. Abstinence in the past 12, 18, and 24 months predicted an increase in MoCA total score changes of 1.25 (95% CI = -0.23 to 2.74), 2.15 (95% CI = -0.79 to 5.09), and 5.28 (95% CI = -2.01 to 12.58), respectively, but none of these was statistically significant. DISCUSSION AND CONCLUSIONS: Cognitive function was potentially improved following 6 months of MA abstinence. SCIENTIFIC SIGNIFICANCE: This study extends prior research by long-term follow-up in big sample MA abstinence users. Findings from study support the need for a comprehensive measure to decrease MA use and promote the recovery of cognitive impairment.

Internet Addiction Increases in the General Population During COVID-19: Evidence From China.

BACKGROUND AND OBJECTIVES: COVID-19-related quarantine and stress have likely escalated the crisis of Internet addiction. This study aimed to determine the impact of the COVID-19 pandemic on Internet use and related risk factors among the general public in China. METHODS: A large-sample cross-sectional online survey was conducted from March 24 to April 30, 2020, in China, and 20,472 participants completed the survey. We investigated the prevalence and severity of Internet addiction based on the Internet Addiction Test (IAT), and explored the risk factors related to increases in time spent on Internet use and severity of Internet addiction, as well as severe Internet addiction. RESULTS: The overall prevalence of Internet addiction was 36.7% among the general population during the pandemic, and that of severe Internet addiction was 2.8%, according to IAT scores. Time spent on recreational Internet use had significantly increased during the pandemic, and almost half of participants reported increases in the severity of Internet addiction. Risk factors for increases in time spent on Internet use and severity of Internet addiction and severe Internet addiction included having fewer social supporters, perceiving pressure and impact on mental health status due to COVID-19, and being over-engaged in playing videogames. DISCUSSION AND CONCLUSIONS: The COVID-19 pandemic adversely impacted Internet use and increased the prevalence and severity of Internet addiction among the general population in China, especially in vulnerable populations. SCIENTIFIC SIGNIFICANCE: This study provides evidence for policymakers to refine public health policies to control the pandemic and make efforts to provide population-specific prevention and interventions for people at risk of developing Internet addiction. (Am J Addict 2021;00:00-00).

Career choice and influential factors among medical students majoring in psychiatry in China.

BACKGROUND: The undergraduate program of psychiatry has been widely established in recent years to improve the education and recruitment of psychiatrists in China. We aim to investigate the career choice of medical students majoring in psychiatry in China and the influential factors. METHOD: This multicenter study was conducted in 26 medical schools in China from May to October of 2019. Participants included 4610 medical students majoring in psychiatry and 3857 medical students majoring in clinical medicine. Multivariable logistic regression was used to investigate the influential factors of students' choices of psychiatry at matriculation and as a career. RESULTS: 44.08% of psychiatry majored students gave psychiatry as a first choice at matriculation, and 56.67% of them would choose psychiatry as a career, which was in sharp contrast to the proportion of clinical medicine majored students who would choose psychiatry as a career (0.69%). Personal interest (59.61%), suggestions from family members (27.96%), and experiencing mental problems (23.19%) were main reasons for choosing psychiatry major at matriculation. Personal interest (odds ratio [OR] = 2.12, 95% confidence interval [CI] = 1.87-2.40), experiencing a psychiatry clerkship (OR = 1.99, 95% CI = 1.28-3.08), being female (OR = 1.50, 95% CI = 1.30-1.68), experiencing mental problems (OR = 1.33, 95% CI = 1.28-1.56), and suggestions from family members (OR = 1.25, 95% CI = 1.08-1.46) correlated positively with students' choice of psychiatry as career. Students who lacked psychiatry knowledge (OR = 0.49, 95% CI = 0.29-0.85) or chose psychiatry because of lower admission scores (OR = 0.80, 95% CI = 0.63-0.97) were less likely to choose psychiatry as a career. CONCLUSION: More than half of psychiatry majored medical school students planned to choose psychiatry as their career, whereas very few students in the clinic medicine major would make this choice. Increasing students' interest in psychiatry, strengthening psychiatry clerkships, and popularizing psychiatric knowledge are modifiable factors to increase the psychiatry career intention. The extent to which medical students' attitudes toward psychiatry can be changed through medical school education and greater exposure to psychiatry will need further investigation.

Mental health services for infectious disease outbreaks including COVID-19: a rapid systematic review.

The upsurge in the number of people affected by the COVID-19 is likely to lead to increased rates of emotional trauma and mental illnesses. This article systematically reviewed the available data on the benefits of interventions to reduce adverse mental health sequelae of infectious disease outbreaks, and to offer guidance for mental health service responses to infectious disease pandemic. PubMed, Web of Science, Embase, PsycINFO, WHO Global Research Database on infectious disease, and the preprint server medRxiv were searched. Of 4278 reports identified, 32 were included in this review. Most articles of psychological interventions were implemented to address the impact of COVID-19 pandemic, followed by Ebola, SARS, and MERS for multiple vulnerable populations. Increasing mental health literacy of the public is vital to prevent the mental health crisis under the COVID-19 pandemic. Group-based cognitive behavioral therapy, psychological first aid, community-based psychosocial arts program, and other culturally adapted interventions were reported as being effective against the mental health impacts of COVID-19, Ebola, and SARS. Culturally-adapted, cost-effective, and accessible strategies integrated into the public health emergency response and established medical systems at the local and national levels are likely to be an effective option to enhance mental health response capacity for the current and for future infectious disease outbreaks. Tele-mental healthcare services were key central components of stepped care for both infectious disease outbreak management and routine support; however, the usefulness and limitations of remote health delivery should also be recognized.

Effects of medication-assisted treatment on mortality among opioids users: a systematic review and meta-analysis.

Opioid use disorder (OUD) is associated with a high risk of premature death. Medication-assisted treatment (MAT) is the primary treatment for opioid dependence. We comprehensively assessed the effects of different MAT-related characteristics on mortality among those with OUD by a systematic review and meta-analysis. The all-cause and overdose crude mortality rates (CMRs) and relative risks (RRs) by treatment status, different type, period, and dose of medication, and retention time were pooled using random effects, subgroup analysis, and meta-regression. Thirty cohort studies involving 370,611 participants (1,378,815 person-years) were eligible in the meta-analysis. From 21 studies, the pooled all-cause CMRs were 0.92 per 100 person-years (95% CI: 0.79-1.04) while receiving MAT, 1.69 (1.47-1.91) after cessation, and 4.89 (3.54-6.23) for untreated period. Based on 16 studies, the pooled overdose CMRs were 0.24 (0.20-0.28) while receiving MAT, 0.68 (0.55-0.80) after cessation of MAT, and 2.43 (1.72-3.15) for untreated period. Compared with patients receiving MAT, untreated participants had higher risk of all-cause mortality (RR 2.56 [95% CI: 1.72-3.80]) and overdose mortality (8.10 [4.48-14.66]), and discharged participants had higher risk of all-cause death (2.33 [2.02-2.67]) and overdose death (3.09 [2.37-4.01]). The all-cause CMRs during and after opioid substitution treatment with methadone or buprenorphine were 0.93 (0.76-1.10) and 1.79 (1.47-2.10), and corresponding estimate for antagonist naltrexone treatment were 0.26 (0-0.59) and 1.97 (0-5.18), respectively. Retention in MAT of over 1-year was associated with a lower mortality rate than that with retention ≤1 year (1.62, 1.31-1.93 vs. 5.31, -0.09-10.71). Improved coverage and adherence to MAT and post-treatment follow-up are crucial to reduce the mortality. Long-acting naltrexone showed positive advantage on prevention of premature death among persons with OUD.

Basolateral amygdala is required for reconsolidation updating of heroin-associated memory after prolonged withdrawal.

Postretrieval extinction procedures are effective nonpharmacological interventions for disrupting drug-associated memories. Nonetheless, the conditioned stimulus (CS) memory retrieval-extinction procedure is ineffective in inhibiting drug craving and relapse after prolonged withdrawal, which significantly undermines its therapeutic potential. In the present study, we showed that, unlike the CS memory retrieval-extinction procedure, noncontingent heroin injections (unconditioned stimulus [UCS]) 1 hour before the extinction sessions decreased the heroin-priming-induced reinstatement, renewal, and spontaneous recovery of heroin seeking after 28 days of withdrawal (ie, remote heroin-associated memories) in rats. The UCS retrieval manipulation induced reactivation of the basolateral amygdala (BLA) after prolonged withdrawal, and this reactivation was absent with the CS retrieval manipulation. Chemogenetic inactivation of the BLA abolished the inhibitory effect of the UCS memory retrieval-extinction procedure on heroin-priming-induced reinstatement after prolonged withdrawal. Furthermore, the combination of chemogenetic reactivation of BLA and CS retrieval-extinction procedure resembled the inhibitory effect of UCS retrieval-extinction procedure on heroin seeking after prolonged withdrawal. We also observed that the inhibitory effect of the UCS retrieval-extinction procedure is mediated by regulation of AMPA receptor endocytosis in the BLA. Our results demonstrate critical engagement of the BLA in reconsolidation updating of heroin-associated memory after prolonged withdrawal, extending our knowledge of the boundary conditions of the reconsolidation of drug-associated memories.

Public awareness and knowledge of factors associated with dementia in China.

BACKGROUND: Dementia is a global public health priority. Many modifiable factors have been shown to influence the development of dementia, but these factors are not adequately known by the general public. This study aimed to assess public awareness of the factors that are associated with dementia in China. METHODS: A cross-sectional study was conducted from May to October 2019 using an Internet-based questionnaire. Data on basic sociodemographic characteristics were collected, and the knowledge of risk and protective factors for dementia was investigated. Logistic regression analysis was performed to compare levels of the knowledge of factors associated with dementia across populations with different demographic characteristics. RESULTS: Data from 3338 respondents were analyzed. The percentages of participants who accurately identified the risk factors of dementia were follows: 84.24% for negative affect, 65.07% for alcohol use, 56.68% for smoking, 48.74% for hypertension, and 42.66% for diabetes. The percentages of participants who accurately identified the protective factors for dementia were follows: 90.00% for exercise, 84.69% for social activity, 80.92% for intelligence games, 74.45% for reading, and 6.14% for antihypertensive or hypolipidemic drugs. The majority of Chinese people correctly recognized the role of lifestyle factors in the development of dementia but not medical factors. The levels of knowledge of the factors associated with dementia were significantly distinct across populations with different characteristics. The following sociodemographic characteristics were associated with more comprehensive knowledge of dementia risk and protective factors: women, young age, high education levels, nonmanual jobs, and contact with patients with dementia. CONCLUSIONS: Public awareness and knowledge of risk and protective factors for dementia in China are still insufficient. More efforts are needed to publicize information to reduce the risk of dementia.

ADRB2 gene polymorphism modulates the retention of fear extinction memory.

Individual differences in regulation of fear and extinction memory play significant roles in the aetiology development of post-traumatic stress disorder (PTSD). Previous animal based studies showed that the activity of ß-adrenergic receptors (ß-ARs) are involved in memory modulation. However in humans it is not clear that whether genetic variability in ß-ARs contributes to individual differences of fear and extinction memory. In the current study, we investigated the role of a common single-nucleotide polymorphism of ß2-adrenergic receptor (ADRB2) gene in fear memory acquisition, fear memory extinction, extinction recall and fear generalization in human participants. Ninety-one male participants were exposed to a Pavlovian fear conditioning and their fear responses were assessed by the skin conductance response. Participants were genotyped for a polymorphism (rs2400207) located within the promoter region of the human ADRB2. Differences between genotypes were observed in the extinction memory recall test but not in fear acquisition, extinction learning and fear generalization. Particularly, A-allele carriers of rs2400707 displayed successful retention of extinction memory and prevented the return of fear during recall test. The results revealed the involvement of human noradrenergic system in the retention of extinction memory and genetic variability in this system may underlie individual differences in PTSD. Furthermore, rs2400207 polymorphism of ADRB2 gene may play a key role in the treatment efficacy of PTSD and can be a basis for future studies investigating a personalized medicine for fear memory related disorders.

Psychopathology and personality traits associated with driving while intoxicated in Beijing, China: Implications for interventions.

BACKGROUND AND OBJECTIVES: Driving while intoxicated (DWI) represents an area of grave concern in China, yet little research has focused on it or on the personality traits and psychiatric disorders among these drivers. METHODS: We enrolled 325 of 382 residents charged with DWI in a compulsory detention center in Beijing, China. And 351 male drivers who had never had any alcohol arrests as control participants. All were screened for Axis I disorders using the Chinese version of the Structured Clinical Interview for the Diagnostic Statistical Manual of Mental Disorders IV-TR (SCID), the Minnesota Multiphasic Personality Inventory (MMPI-2), and the Sixteen Personality Factor Questionnaire (16PF). RESULTS: The subjects were all males with a mean (±SD) age of 34.41 ± 8.48 years, and almost 30% met DSM-IV criteria for alcohol abuse or dependence (n = 92). Compared to normal controls they showed greater Social Boldness, Abstractedness, Apprehension, Liveliness and Tension, and poorer Reasoning, Vigilance, Openness to Change, and Self-reliance. On the MMPI-2, DWI subjects showed greater Hypochondriasis, Psychopathic Deviate, Paranoia, Psychasthenia, Schizophrenia and Hypomania; and lower Social introversion. CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: Severe alcohol problems are more common in Beijing's drunk drivers than in the Chinese general population. These DWI drivers also have a broad variety of traits that increase their tendency to be venturesome and socially bold while enjoying excitement and risk-taking. (Am J Addict 2017;26:374-378).

Pattern and related factors of cognitive impairment among chronic methamphetamine users.

BACKGROUND AND OBJECTIVES: Methamphetamine (MA) use is increasingly prevalent in East and Southeast Asia and commonly associated with cognitive impairment. The present study estimated the characteristics of cognitive impairment and explored the associated potential factors among chronic MA users. METHODS: The data were from the baseline visit of a longitudinal study among synthetic drug users. The baseline survey was conducted in detoxification and rehabilitation centers in Guangdong province, China, from September to December in 2013. A total of 528 participants were included in our analysis. Cognitive impairment was measured by the Montreal Cognitive Assessment (MoCA). Logistic regression was performed to explore the risk factors associated with cognitive impairment. RESULTS: Approximately 69.89% of the study participants exhibited cognitive impairment according to MoCA scores. Multiple logistic regression analyses indicated that older age (≥30 years old), a longer duration of MA use (>24 months), and a higher frequency of MA use (everyday) were associated with cognitive impairment, with adjusted odds ratios (ORs) of 1.58 (95% confidence interval [CI]: 1.07-2.34), 1.53 (95%CI: 1.01-2.31), and 1.55 (95%CI: 1.05-2.30), respectively. Methamphetamine users that had a higher level of education had a lower risk of cognitive impairment(OR = .59; 95%CI: .38-.93). CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE: Cognitive impairment occurred frequently among chronic MA users. The causal relationship between cognitive impairment and MA use needs to be ascertained in longitudinal studies in future work. Our study provides evidence for the development of intervention strategies for the prevention of MA use and associated cognitive impairment. (Am J Addict 2017;26:145-151).