Nationwide retrospective cohort survey of orthopedic injuries in members of the Taiwanese population with psychiatric disorders, 2000-2005

The impact of sleep disturbances on suicide risk among people living HIV: An eleven-year national cohort

OBJECTIVES

The suicide rate among individuals who experience sleep disturbances is five times higher than in the general population. Up to 70 % of people living with HIV (PLHIV) experience sleep disturbances. This study's purpose was to determine whether this population has higher rates of suicide compared to those without sleep disorders. Possible risk factors were also explored.

METHODS

A secondary analysis of nationwide data on all males and females over 15 years old with HIV living in Taiwan was conducted from January 1, 2005, to December 31, 2016. Sleep disturbances were identified through recorded diagnoses and medical treatments. Cox proportional hazard models and hazard ratios (HRs) and mediation analysis were employed to estimate the association between sleep disturbances and suicide risk during the follow-up period.

RESULTS

Of the 5680 PLHIV, 72 suicide events were reported. The suicide incidence rate among PLHIV suffering from sleep disturbances was 769 per 100,000 person-years. Sleep disturbances were associated with a significantly increased risk of suicide (AHR = 1.75, 95 % CI 1.02-3.02, p = 0.0429). A premium-based monthly salary of <24,000 (NT $) was also associated with an increased hazard of suicide (AHR = 4.14, 95 % CI 1.60-10.75, p = 0.0035). The pathway effect analysis using potential outcomes showed that depression did not mediate the effect of sleep disturbance on suicide.

CONCLUSIONS

Sleep disturbances were associated with higher suicide rates, even after adjusting for pre-existing depression. These findings suggest that paying attention to suicidal ideation among PLHIV suffering from sleep disturbances is necessary.

Atypical Antipsychotics and the Risk of Falls and Fractures Among Older Adults: An Emulation Analysis and an Evaluation of Additional Confounding Control Strategies

PURPOSE

The aim of this study was to investigate the risk of falls and fractures among older adults receiving atypical antipsychotics.

METHODS

An emulation analysis of a previously published study was performed using the US Truven MarketScan Medicare Supplemental database (MDCR). In addition, modified analyses were implemented to evaluate alternative confounding control strategies that (1) included all covariates used to fit propensity score models in outcome models and (2) required patients to have a mental health condition diagnosis and a health care visit within 90 days prior to the index date.

FINDINGS

The MDCR emulation analyses yielded similar results as the previous study. For the previous study and our emulation analysis, the results were: nonvertebral osteoporotic fractures (odds ratio [OR], 1.51; 95% confidence interval [CI], 1.41-1.60; and OR, 1.49; 95% CI, 1.37-1.63, respectively), hip fractures (OR, 1.67; 95% CI, 1.53-1.81; and OR, 1.59; 95% CI, 1.43-1.77, respectively), any fracture (OR, 1.29; 95% CI, 1.24-1.34; and OR, 1.32; 95% CI, 1.23-1.41, respectively), and falls (OR, 1.54; 95% CI, 1.47-1.61; and OR, 1.45; 95% CI, 1.11-1.89, respectively). However, in modified analyses, no associations were significant. The primary change that resulted in the attenuation of associations was the requirement for patients to have a mental health condition diagnosis and a health care visit prior to the index date.

CONCLUSIONS

Our MDCR emulation analysis yielded similar results as a previous study; however, in modified analyses, the associations between fractures and falls and atypical antipsychotics were no longer significant. The contrast of results between the emulation and modified analyses may be due to the analytic approach used to compare patients (and potential confounding by indication). Further research is warranted to evaluate these associations.

Adult attention-deficit hyperactivity disorder, risky behaviors, and motorcycle injuries: a case-control study

BACKGROUND

The aim of this study was to assess the association of motorcycle traffic injuries with motorcycle riding behavior and subtypes of attention-deficit hyperactivity disorder (ADHD) while controlling for individual correlates of motorcycle traffic injuries.

METHODS

A case-control study was carried out in 298 patients with motorcycle trauma along with 151 control patients admitted to the Shohada and Imam Reza university hospitals as the two referral specialty centers in the East Azarbyjan Province of Iran in 2013. The Persian version of the Motorcycle Riding Behavior Questionnaire and the Persian version of Conner's Adult ADHD Rating Scales (the self-report short version) were used to assess riding behavior and screen for adult ADHD, respectively. The scale has four subscales, comprising subscale A (inattention), subscale B (hyperactivity, impulsivity), subscale C (A + C), and subscale D (ADHD index). The statistical analysis was done using Stata version 11.

RESULTS

All subjects were male and aged 13-79 years. Approximately 54% of the participants were married and 13% had academic education. Approximately 18% of the motorcycle riders stated that their motorcycle riding was only for fun purposes. More than two thirds of the participants did not have a motorcycle riding license. Variables found to be significantly associated with motorcycle injuries in bivariate analysis included age, marital status, educational level, having a motorcycle riding license, using a helmet while riding, daily amount of riding, riding just for fun, riding behavior score, and ADHD scale scores. It was found in multivariate analysis that if the ADHD index (subscale D) score was used to assess the association of ADHD with motorcycle injuries, a protective role for ADHD was observed. However, the two other subscales showed a different predictive pattern for subscale A versus subscale B, with only subscale B increasing the likelihood of motorcycle traffic injuries. The score based on motorcycle rider behavior was found to be associated with motorcycle injuries. Other variables that were significant in multivariate models were the purpose of riding, educational level, economic status, and marital status.

CONCLUSION

ADHD and riding behavior scores affect the likelihood of motorcycle traffic injuries among motorcycle riders independent of other injury indicators, and include education, purpose of riding, and economic status.