People who use drugs in rehabilitation, from chaos to discipline: Advantages and pitfalls: A qualitative study

The Effect of Healthy Mental Lifestyle Package On Sleep Quality, Mental Health, and Lifestyle of Substance Users

Background

The aim of this study was to assess the effect of a training package based on the lived experience of substance abusers on sleep problems and mental health.

Materials and Methods

The current study was performed on 70 subjects equally distributed into two groups of control and intervention, Data collection tools included the Pittsburgh Sleep Quality Index (PSQI), the General Health Questionnaire (GHQ), and the Basic Adlerian Scales for Interpersonal Success-Adult Form (BASIS-A) Inventory. Data analysis was administered using the independent t-test, paired t-test, and MANCOVA. Statistical significance was considered when the P value < 0.05.

Results

A total of 70 subjects participated in this study; 7 (10.6%) were females and 59 (89.4%) were males, with a mean age of 36.29 ± 8.588 years. The total score of PSQI was 12.48 (±4.206) and 13.16 (±3.397) for control and intervention groups, respectively, and declined to 12.33 (±4.442) and 9.56 (±4.45) after the intervention. The intervention resulted in an improved score for scales of belonging, going along, taking charge, harshness, being liked by all, and striving for perfection. Whereas the total score of the GHQ is reduced for both groups, that in the intervention group showed a higher decrease, which was also statistically significant.

Conclusion

The developed training package successfully improved participants' sleep quality, mental health, and lifestyle.

Predictors of Significant Liver Fibrosis in People with Chronic Hepatitis C Who Inject Drugs in the Czech Republic

Background and objectives: HCV infection often remains untreated in people who inject drugs (PWID), albeit they may present with advanced liver fibrosis at a young age. We aimed to assess the rate of patients with significant fibrosis in PWID starting anti-HCV therapy and identify the factors associated with severe fibrosis. Methods: The cohort of 200 patients was divided into two groups: F0–F2 (N = 154, 77%), patients with liver stiffness measurement (LSM) < 10.0 kPa, and F3–F4 (N = 46, 23%), with LSM ≥ 10.0 kPa, indicating significant liver fibrosis. Results: In group F3–F4, there were significantly more males, and the patients were older, with a higher BMI. The number of long-term abstaining patients was significantly higher in group F3–F4 compared with group F0–F2, as well as the proportion of patients reporting harmful drinking. Obesity (OR 4.77), long-term abstinence from illicit drugs (OR 4.06), harmful drinking (OR 2.83), and older age (OR 1.17) were significant predictors of advanced fibrosis in PWID starting anti-HCV therapy. Conclusions: A quarter of PWID presented with significant liver fibrosis at treatment initiation. Obesity, long-term drug abstinence, harmful drinking, and older age contributed to significant liver fibrosis.

Patterns and Determinants of Weight Gain among People Who Use Drugs Undergoing Treatment for Recovery in Lebanon

Substance use disorder compromises the nutritional status and the eating habits of drug users, often leading to malnutrition. Once referred for treatment, hyperphagia and poor lifestyle practices leading to weight gain are observed. This study aimed to examine the patterns and extent of weight change as well as the determinants of weight gain in a sample of drug users who were receiving treatment in Lebanon. A total of 172 male participants undergoing either rehabilitation or opioid substitution treatment (OST) were included. Multivariate regression analysis was applied to assess the effect of different variables on weight gain while adjusting for potentially confounding variables. Approximately two-thirds (65.1%) of the participants gained weight (OST: 54.3%, rehabilitation: 78.2%; p < 0.05). The mean weight gain was 5.9 kg and was mainly reported among participants in the underweight, normal, and overweight pre-treatment categories and accentuated in the rehabilitation group (OST: 2 kg, Rehabilitation: 10.6 kg). Around half of the participants moved from the normal weight category to the overweight and obese categories during treatment. Weight gain was negatively associated with the number of previous treatment attempts (Odds Ratio = 0.86; Confidence Interval: 0.74-0.99), duration of current treatment (Odds Ratio = 0.98; Confidence Interval: 0.96-0.99), and pre-treatment body mass index (BMI) (Odds Ratio = 0.88; Confidence Interval: 0.80-0.96). Investigating other nutrition and lifestyle practices, neither nutrition knowledge, food addiction, physical activity level, nor sleep quality were associated with weight gain. Treatment through drug use was associated with meaningful weight gain that might lead to health risk factors. Developing health promotion programs is crucial to enhance treatment and decrease the risk of relapse.

Risk of somatic diseases in patients with eating disorders: the role of comorbid substance use disorders

AIMS

Eating disorders (EDs) and substance use disorders (SUDs) often co-occur, and both involve somatic diseases. So far, no study has considered whether comorbid SUDs may impact somatic disease risk in patients with EDs. Therefore, this study aimed to examine the impact of comorbid SUDs on the risk of 11 somatic disease categories in patients with anorexia nervosa (AN), bulimia nervosa (BN) and unspecified eating disorder (USED) compared to matched controls.

METHODS

A retrospective cohort study was conducted using Danish nationwide registries. The study population included 20 759 patients with EDs and 83 036 controls matched on month and year of birth, sex and ethnicity. Hazard ratios (HRs) were calculated to compare the risk of being diagnosed with a somatic disease (within 11 categories defined by the ICD-10) following first ED diagnosis (index date) between ED patients and controls both with and without SUDs (alcohol, cannabis or hard drugs).

RESULTS

The ED cohort and matched controls were followed for 227 538 and 939 628 person-years, respectively. For ED patients with SUDs, the risk pattern for being diagnosed with different somatic diseases (relative to controls without SUDs) varied according to type of ED and SUD [adjusted HRs ranged from 0.95 (99% CI = 0.57; 1.59) to 4.17 (2.68, 6.47)]. The risk estimates observed among ED patients with SUDs were generally higher than those observed among ED patients without SUDs [adjusted HRs ranged from 1.08 (99% CI = 0.95, 1.22) to 2.56 (2.31, 2.84)]. Abuse of alcohol only had a non-synergistic effect on six disease categories in AN patients and five in BN and USED patients. Abuse of cannabis (with/without alcohol) had a non-synergistic effect on five disease categories in AN and BN patients and two in USED patients. Abuse of hard drugs (with/without alcohol or cannabis) had a non-synergistic effect on nine disease categories in AN patients, eight in BN patients and seven in USED patients.

CONCLUSIONS

The present study documents non-synergistic but not synergistic harmful somatic consequences of SUDs among patients with different EDs, with AN and hard drugs being the most predominant factors. Hence, EDs and SUDs did not interact and result in greater somatic disease risk than that caused by the independent effects. Since EDs and SUDs have independent effects on many somatic diseases, it is important to monitor and treat ED patients for SUD comorbidity to prevent exacerbated physical damage in this vulnerable population.

Nutritional parameters and lifestyle practices of people who use drugs undergoing treatment for recovery in Lebanon: a descriptive study

Drug use disorder is a major public health problem. Once people who use drugs (PWUD) are referred to treatment, addressing their lifestyle practices and improving their quality of life improves treatment outcomes. The present study assessed the nutritional status and lifestyle practices among PWUD undergoing treatment for recovery in Lebanon. Furthermore, it explored significant differences in these parameters depending on the offered treatment modality, namely opioid substitution treatment (OST) and rehabilitation. In total, 187 PWUD undergoing treatment for recovery participated in this cross-sectional study. Nutritional status and anthropometrics, dietary intake, nutrition knowledge, food addiction, biochemical parameters, sleep and physical activity were measured using validated tools. Of the participants, 88⋅8 % were well nourished based on the Subjective Global Assessment. In total, 67 % gained weight during treatment placing them in the overweight category. This increase in weight was significantly higher in the rehabilitation group. It came in parallel with higher protein and energy intakes, higher rate of food addiction, and poor nutrition knowledge. Biochemical parameters, including fasting blood sugar, total protein, lipid profile and white blood cell count, were in the normal ranges. Moreover, the majority of participants exhibited poor quality sleep that was accentuated among the participants undergoing rehabilitation, in addition to activity levels that were mainly low in the OST group. PWUD undergoing treatment for recovery in Lebanon are subject to various vulnerability factors creating challenges to treatment. Longitudinal assessments to better understand health problems arising during treatment and to identify the components of a comprehensive health promotion intervention during treatment for recovery are needed.