Gender and Age Effects on the Trajectory of Depression in Opioid Users during Methadone Maintenance Treatment

Clinical differences between outpatients with and without internet addiction and emotional disorders: a prospective naturalistic outcome study

Background/Objective

as internet use becomes increasingly ingrained in contemporary society, internet addiction (IA) has emerged as a global public health concern. There is ongoing debate regarding whether IA represents a distinct psychological disorder or a secondary manifestation of other existing disorders. This study aimed to examine the pathological relationship between IA and emotional disorders (ED).

Method

this study compared pre-treatment characteristics and treatment process of three groups of patients (N=1292) in a naturalistic treatment setting: IA only, ED only, and comorbidity of IA and ED.

Results

the IA only group differed from the other groups by reporting the highest levels of life satisfaction, adaptive emotion regulation, as well as risk behavior urges at intake. In addition, the IA only group displayed the lowest level of depressive and anxiety symptoms throughout the treatment.

Conclusion

our findings contribute to a better understanding of the discreteness of IA as a potential psychological disorder and inform more effective treatment strategies for IA and its comorbid conditions.

Cessation of self-reported opioid use and impacts on co-occurring health conditions

BACKGROUND

Among veterans in care reporting opioid use, we investigated the association between ceasing opioid use on subsequent reduction in report of other substance use and improvements in pain, anxiety, and depression.

METHODS

Using Veterans Aging Cohort Study survey data collected between 2003 and 2012, we emulated a hypothetical randomized trial (target trial) of ceasing self-reported use of prescription opioids and/or heroin, and outcomes including unhealthy alcohol use, smoking, cannabis use, cocaine use, pain, and anxiety and depressive symptoms. Among those with baseline opioid use, we compared participants who stopped reporting opioid use at the first follow-up (approximately 1 year after baseline) with those who did not. We fit logistic regression models to estimate associations with change in each outcome at the second follow-up (approximately 2 years after baseline) among participants with that condition at baseline. We examined two sets of adjusted models that varied temporality assumptions.

RESULTS

Among 2473 participants reporting opioid use, 872 did not report use, 606 reported use, and 995 were missing data on use at the first follow-up. Ceasing opioid use was associated with no longer reporting cannabis (adjusted odds ratio [AOR]=1.82, 95% confidence interval [CI] 1.10, 3.03) and cocaine use (AOR=1.93, 95% CI 1.16, 3.20), and improvements in pain (AOR=1.53, 95% CI 1.05, 2.24) and anxiety (AOR=1.56, 95% CI 1.01, 2.41) symptoms.

CONCLUSION

Cessation of opioid misuse may be associated with subsequent cessation of other substances and reduction in pain and anxiety symptoms, which supports efforts to screen and provide evidence-based intervention where appropriate.

Joint developmental trajectories and temporal precedence of physical function decline and cognitive deterioration: A longitudinal population-based study

Objectives

Previous studies primarily explored the unidirectional impact of cognition on physical function. However, the interplay between physical function and cognition and the temporal precedence in their predictive relationships have not been elucidated. We explored the bidirectional mechanism between physical function and cognition in a longitudinal dataset.

Materials and methods

A total of 1,365 participants in the Chinese Longitudinal Healthy Longevity Survey assessed physical function and cognition in 2011 (T1), 2014 (T2), and 2018 (T3) by the Katz scale and the Chinese version of the Mini-Mental State Examination scale, respectively. Changes in the trajectories of physical function and cognition were examined using the latent growth model. The correlational and reciprocal relationships between physical function and cognition were examined using the parallel process latent growth model and autoregressive cross-lagged (ARCL) models.

Results

Cognition and physical function decreased by an average of 0.096 and 0.017 points per year, respectively. Higher physical function was associated with better cognition at baseline (r = 0.237, p < 0.05), and longitudinal changes in physical function and cognition were positively correlated (r = 0.756, p < 0.05). ARCL analysis indicated that physical function at T1 positively predicted T2 cognitive function. However, this predictive relationship reversed between T2 and T3, whereby cognitive function at T2 predicted physical function at T3.

Conclusion

Both physical function and cognition declined over time. Early identification and intervention in physical dysfunction among older adults could be critical to prevent further cognitive impairment and maintain functional independence. Hence, regular functional assessment and individualized care plans are required to achieve healthy aging.

Longitudinal Association Between Depressive Symptoms and Cognitive Function Among Older Adults: A Latent Growth Curve Modeling Approach

Objectives: Although the evidence from numerous longitudinal studies has indicated a remarkable change in cognitive function (CF) and depressive symptoms (DS) over time, the parallel latent growth curve model (LGCM) has seldom been used to simultaneously investigate the relationship between their change trajectories. This study aimed to examine whether a change in DS was associated with CF over time using an LGCM.

Methods: Data were collected from the Chinese Longitudinal Healthy Longevity Survey’s 2011, 2014, and 2018 waves. A parallel LGCM examined the association between CF and DS.

Results: The multivariate conditioned model’s goodness of fit supported the validity of the longitudinal model (Tucker-Lewis index [TLI] = 0.90, comparative fit index [CFI] = 0.96, root mean square error of approximation [RMSEA] = 0.04). The results showed that the CF intercept was positively to the DS slope (β = 0.42, p = 0.004). The CF and DS slopes were significantly linked (β = −0.65, p = 0.002).

Conclusion: The findings expand the knowledge about CF’s effect on DS in older adults.

Latent trajectories of anxiety and depressive symptoms among adults in early treatment for nonmedical opioid use

BACKGROUND

Understanding the course of anxiety and depressive symptoms in early opioid use disorder (OUD) treatment may inform efforts to promote positive early treatment response and reduce treatment attrition.

METHODS

Persons in treatment for nonmedical opioid use were identified from 86 addiction treatment facilities. Growth mixture modeling was used to identify trajectories of anxiety and depression symptoms during the first month of treatment among individuals who screened positive for depression (N = 3016) and/or anxiety (N = 2779) at intake.

RESULTS

A three-class solution best fit the data for anxiety symptoms and included the following trajectories: (1) persistent moderate-to-severe anxiety symptoms, (2) remitting severe anxiety symptoms, and (3) persistent minimal-to-mild anxiety symptoms. Similarly, a three-class solution best fit the data for depressive symptoms and included trajectories characterized by (1) persistent moderate-to-severe depressive symptoms, (2) persistent moderate depressive symptoms, and (3) mild/remitting depressive symptoms. Persistent moderate-to-severe anxiety and depressive symptoms were predicted by female gender and heavy past-month benzodiazepine co-use.

LIMITATIONS

Fine grained-information about substance use was not collected. Results may not be generalizable to individuals receiving treatment outside of specialty addiction clinics.

CONCLUSIONS

Analysis of anxiety and depression symptom trajectories in early treatment suggest that a subset of individuals entering treatment for opioid use experienced persistent and significant anxiety and depressive symptoms, whereas others experience a remission of symptoms. Interventions designed to target individuals at the greatest risk, such as women and individuals reporting opioid/benzodiazepine co-use, may help improve mental health symptoms in early OUD treatment.

Mutual Help Group Participation for Alcohol and Drug Problems: Uncovering Latent Subgroups

Objective: This report aims to identify US mutual help group (MHG) participants' psycho-socio-behavioral profiles. Method: We used data from the 2015-2018 National Survey on Drug Use and Health and the sample included 1022 adults with past-year substance use disorders (SUD). We conducted a latent class analysis to identify subgroups of MHG participants and estimated multinomial logistic regression models to examine the associations between sociodemographic/intrapersonal characteristics and class membership. Results: Analyses identified three latent classes. Class 1 (Low-Risk group, 54%) reported low risks in all correlates except for serious psychological distress (SPD, 33%). Class 2 (Psychological Distress group, 30%) demonstrated high risks of major depressive episodes (86%) and SPD (93%). Class 3 (Criminal Justice System Involvement group, 16%) showed high involvement in arrests (100%) and drug-related arrests (67%) and moderate risks for SPD (54%) and behavioral problems, e.g., drug selling (46%) and theft (35%). Compared to Class 1, Class 2 was more likely to be female, out of the labor force, and to show high risk propensity, and Class 3 was more likely to have lower education and drug use disorders. Class 3 was also less likely to be older, belong to the "other" racial/ethnic category, have lower English proficiency, and report alcohol use disorder. Conclusions: The three subgroups of the US MHG participant population illustrate the complex and heterogeneous psycho-social-behavioral profiles of MHG participants with SUD. MHG referral's effectiveness may be augmented by tailoring it to the patient/client's specific psycho-socio-behavioral profile.

Factors of Negative Affect in Elderly Patients With Substance Use Disorders During COVID-19 Pandemic

Background: The outbreak of the novel coronavirus disease 2019 (COVID-19) has become the greatest public health emergency and has attracted global attention. During the COVID-19 pandemic, the negative affect (NA) of elderly patients with substance use disorders (SUDs) has also become a more serious public concern. The current study aims to clarify the NA and its influencing factors in elderly patients with SUDs during the pandemic. Methods: Two psychiatrists conducted semi-structured interviews with 77 SUD patients aged above 50 years to collect their demographical information and certain drug use characteristics. Barratt Impulse Scale and the Positive and Negative Affect Scale were used to obtain information about patients' self-reported impulsivity and NA. Results: Univariate linear regression analysis showed that NA was positively correlated with the frequency of drug use, type of SUDs, cravings during COVID-19, and impulsivity. Multiple linear regression analysis showed that being female, higher frequency of drug use, stronger cravings, and greater impulsiveness jointly accounted for the variation of NA in elderly patients with SUDs. Conclusions: This study confirmed that, during the COVID-19 pandemic, gender, frequency of drug use, cravings, and impulsivity were associated with NA in elderly patients with SUDs. This study provided a theoretical basis for clinicians to reduce the patients' NA.

Stably maintained microtubules protect dopamine neurons and alleviate depression-like behavior after intracerebral hemorrhage

Mesolimbic dopamine (DA) system lesion plays a key role in the pathophysiology of depression, and our previous study demonstrated that reduced microtubule (MT) stability aggravated nigrostriatal pathway impairment after intracerebral hemorrhage (ICH). This study aimed to further investigate the occurrence regularity of depression-like behavior after ICH and determine whether maintaining MT stabilization could protect DA neurons in ventral tegmental area (VTA) and alleviate depression-like behavior after ICH. An intrastriatal injection of 20 μl of autologous blood or MT depolymerization reagent nocodazole (Noco) was used to mimic the pathology of ICH model in mice. The concentration of DA, number of DA neurons and acetylated α-tubulin (a marker for stable MT) in VTA were checked, and depression-related behavior tests were performed after ICH. A MT-stabilizing agent, epothilone B (EpoB), was administered to explore the effects of MT stabilization on DA neurons and depression-like behavior after ICH. The results showed that obvious depression-like behavior occurred at 7, 14, and 28 days (P < 0.01) after ICH. These time-points were related to significant decreases in the concentration of DA (P < 0.01) and number of DA neurons (P < 0.01) in VTA. Moreover, The decrease of acetylated α-tubulin expression after ICH and Noco injection contributed to DA neurons' impairment in VTA, and Noco injecton also aggravate ICH-induced depression-like behaviors and DA neurons' injury. Furthermore, EpoB treatment significantly ameliorated ICH and Noco-induced depression-like behaviors (P < 0.05) and increased the concentration of DA (P < 0.05) and number of DA neurons (P < 0.05) in VTA by increasing the level of acetylated α-tubulin. The results indicate that EpoB can protect DA neurons by enhancing MT stability, and alleviate post-ICH depressive behaviors. This MT-targeted therapeutic strategy shows promise as a bench-to-bedside translational method for treating depression after ICH.