Yinglin Xia

The efficacy of cognitive-behavioral therapy for insomnia in patients with chronic pain

STUDY OBJECTIVES To assess the efficacy of cognitive-behavioral therapy for insomnia (CBT-I) in patients with non-malignant chronic pain. METHODS Twenty-eight subjects with chronic neck and back pain were stratified according to gender, age, and ethnicity, then assigned to one of the two treatment groups: CBT-I or a contact control condition. INTERVENTION Eight weeks of CBT-I including sleep restriction, stimulus control, sleep hygiene, and one session of cognitive therapy devoted to catastrophic thoughts about the consequences of insomnia. MEASUREMENTS AND RESULTS Outcomes included sleep diary assessments of sleep continuity, pre-post measures of insomnia severity (ISI), pain (Multidimensional Pain Inventory), and mood (BDI and POMS). Subjects receiving CBT-I (n=19), as compared to control subjects (n=9), exhibited significant decreases in sleep latency, wake after sleep onset, number of awakenings, and significant increase in sleep efficiency. The diary findings were paralleled by significant changes in the ISI (p=0.05). Significant improvement (p=0.03) was found on the Interference Scale of the Multidimensional Pain Inventory. The groups did not significantly differ on mood measures or measures of pain severity. CONCLUSIONS CBT-I was successfully applied to patients experiencing chronic pain. Significant improvements were found in sleep as well as in the extent to which pain interfered with daily functioning. The observed effect sizes for the sleep outcomes appear comparable to or better than meta-analytic norms for subjects with Primary Insomnia.

On fitting generalized linear mixed‐effects models for binary responses using different statistical packages

The generalized linear mixed-effects model (GLMM) is a popular paradigm to extend models for cross-sectional data to a longitudinal setting. When applied to modeling binary responses, different software packages and even different procedures within a package may give quite different results. In this report, we describe the statistical approaches that underlie these different procedures and discuss their strengths and weaknesses when applied to fit correlated binary responses. We then illustrate these considerations by applying these procedures implemented in some popular software packages to simulated and real study data. Our simulation results indicate a lack of reliability for most of the procedures considered, which carries significant implications for applying such popular software packages in practice.

Comparative effectiveness of CBT interventions for co-morbid chronic pain & insomnia: a pilot study.

INTRODUCTION Chronic pain is difficult to treat and often precedes or exacerbates sleep disturbances such as insomnia. Insomnia, in turn, can amplify the pain experience. Both conditions are associated with inflammatory processes, which may be involved in the bi-directional relationship between pain and sleep. Cognitive behavioral therapy (CBT) for pain and CBT for insomnia are evidence based interventions for, respectively, chronic pain and insomnia. The study objectives were to determine the feasibility of combining CBT for pain and for insomnia and to assess the effects of the combined intervention and the stand alone interventions on pain, sleep, and mood outcomes compared to a control condition. METHODS Twenty-one adults with co-occurring chronic pain and chronic insomnia were randomized to either CBT for pain, CBT for insomnia, combined CBT for pain and insomnia, or a wait-list control condition. RESULTS The combined CBT intervention was feasible to deliver and produced significant improvements in sleep, disability from pain, depression and fatigue compared to the control condition. Overall, the combined intervention appeared to have a strong advantage over CBT for pain on most outcomes, modest advantage over both CBT for insomnia in reducing insomnia severity in chronic pain patients. DISCUSSION CBT for pain and CBT for insomnia may be combined with good results for patients with co-occurring chronic pain and insomnia.

Reducing sexual risk behavior in adolescent girls: results from a randomized controlled trial.

PURPOSE Teenage girls in low-income urban settings are at an elevated risk for HIV, sexually transmitted infections, and unintended pregnancies. The purpose of this study was to evaluate the efficacy of a sexual risk-reduction (SRR) intervention, supplemented with postintervention booster sessions, targeting low-income, urban, sexually active teenage girls. METHOD Randomized controlled trial in which sexually active urban adolescent girls (n = 738) recruited in a midsize northeastern U.S. city were randomized to a theory-based SRR intervention or to a structurally equivalent health promotion control group. Assessments and behavioral data were collected using audio computer-assisted self-interview at baseline, then at 3, 6, and 12 months postintervention. Both interventions included four small-group sessions and two booster sessions. RESULTS Relative to girls in the control group, girls receiving the SRR intervention were more likely to be sexually abstinent; if sexually active, they showed decreases in (a) total episodes of vaginal sex at all follow-ups, (b) number of unprotected vaginal sex acts at 3 and 12 months, and (c) total number of sex partners at 6 months. Medical record audits for girls recruited from a clinical setting (n = 322) documented a 50% reduction in positive pregnancy tests at 12 months. CONCLUSIONS Theory-based behavioral interventions tailored to adolescent girls can help to reduce sexual risk and may also reduce unintended pregnancies. Although sexually active at enrollment, many of the girls receiving the intervention were more likely to practice secondary abstinence. Continued refinement of SRR interventions for girls is needed to ensure they are feasible, appealing, and effective.

Modeling longitudinal binomial responses: implications from two dueling paradigms

The generalized estimating equations (GEEs) and generalized linear mixed-effects model (GLMM) are the two most popular paradigms to extend models for cross-sectional data to a longitudinal setting. Although the two approaches yield well-interpreted models for continuous outcomes, it is quite a different story when applied to binomial responses. We discuss major modeling differences between the GEE- and GLMM-derived models by presenting new results regarding the model-driven differences. Our results show that GLMM induces some artifacts in the marginal models at assessment times, making it inappropriate when applied to such responses from real study data. The different interpretations of parameters resulting from the conceptual difference between the two modeling approaches also carry quite significant implications and ramifications with respect to data and power analyses. Although a special case involving a scale difference in parameters between GEE and GLMM has been noted in the literature, its implications in real data analysis has not been thoroughly addressed. Further, this special case has a very limited covariate structure and does not apply to most real studies, especially multi-center clinical trials. The new results presented fill a substantial gap in the literature regarding the model-driven differences between the two dueling paradigms.

The Durability of Cognitive Behavioral Therapy for Insomnia in Patients with Chronic Pain

The purpose of this study was to assess the long-term (six months) effects of cognitive behavioral therapy for insomnia (CBT-I) in patients with chronic pain. The results of the pre-post treatment effects have been reported previously. The therapy was delivered by an advanced practice nurse in a research setting using a parallel-group, randomized, single blind trial of CBT-I with a contact/measurement control condition. Outcomes included sleep diary, the Insomnia Severity Index, the Multidimensional Pain Inventory, the Beck Depression Inventory, the Profile of Mood States-short form, and the Pain Disability Index. Measurement time points were end-of-treatment, three-month and six-month posttherapy. Subjects receiving CBT-I (n = 19), as compared to control subjects (n = 9), did not exhibit any significant group by visit effects on measures of sleep, pain, mood, or function after end of treatment. However, subjects in the treatment group exhibited statistically (P = 0.03) and clinically significant improvement in total sleep time (23 minutes) over the six months following treatment. In this paper, cognitive behavioral therapy directed to improve insomnia was successfully delivered to patients with moderate-to-severe chronic pain and the positive effects of CBT-I continued to improve despite the presence of continued moderate-to-severe pain.

How do the phq-2, the phq-9 perform in aging services clients with cognitive impairment?

To examine the performance of the Patient Health Questionnaire‐2 (PHQ‐2) and the PHQ‐9 in detecting current major depressive episode (MDE) in aging services care management clients who screen positive for cognitive impairment (CI).

Sexual risk factors for partner age discordance in adolescent girls and their male partners

AIMS AND OBJECTIVES To investigate differences in sexual risk factors between adolescent girls reporting similar-aged or older sex partners. BACKGROUND Adolescent girls are at significant risk of heterosexual-acquired HIV infection and other long-term reproductive health issues. Sexual partner age discordance in teen girls has been correlated with STIs, lack of protection, multiple partners and earlier age of sexual transition. DESIGN A descriptive study comparing girls currently involved with age-discordant partners to those with similar-aged partners. Two-sample t-test for continuous variables and chi-squared test or Fishers exact test for categorical variables were used to compare groups. METHODS Baseline data from 738 sexually active, urban, adolescent girls aged 15-19 were analysed to determine which behaviours were more likely to occur in girls with older partners. Data were collected as part of a gender-specific HIV-prevention intervention in a randomised controlled trial (RCT) tailored to adolescent girls. RESULTS Multiple reported sexual risk behaviours were found to significantly differ between the two groups at baseline. Overall, girls with older partners had more episodes of sexual instances (vaginal, anal and oral). Specific sexual risk behaviours were found to be statistically significant between the two groups. Girls with older partners started having sex at earlier ages, had more lifetime sexual partners, higher incidents of STIs and were reluctant to discuss using condoms with their partners. Girls with similar-aged partners were less willing to engage in risky sexual behaviours. CONCLUSIONS Findings from this investigation support data from other studies. Relationships with older male partners place adolescent girls at increased risk of HIV/STIs and unintended pregnancy. RELEVANCE TO CLINICAL PRACTICE Adolescent girls in age-discordant relationships are at risk of immediate and long-term sexual health morbidities. Identifying girls who are at increased risk by asking tailored questions will enable nurses to recommend appropriate diagnostics for this population and provide age-specific counselling.

Modeling Count Outcomes from HIV Risk Reduction Interventions: A Comparison of Competing Statistical Models for Count Responses

Modeling count data from sexual behavioral outcomes involves many challenges, especially when the data exhibit a preponderance of zeros and overdispersion. In particular, the popular Poisson log-linear model is not appropriate for modeling such outcomes. Although alternatives exist for addressing both issues, they are not widely and effectively used in sex health research, especially in HIV prevention intervention and related studies. In this paper, we discuss how to analyze count outcomes distributed with excess of zeros and overdispersion and introduce appropriate model-fit indices for comparing the performance of competing models, using data from a real study on HIV prevention intervention. The in-depth look at these common issues arising from studies involving behavioral outcomes will promote sound statistical analyses and facilitate research in this and other related areas.

Randomized Controlled Trial of CARE: An Intervention to Improve Outcomes of Hospitalized Elders and Family Caregivers

In this randomized controlled trial we tested the efficacy of an intervention program (CARE: Creating Avenues for Relative Empowerment) for improving outcomes of hospitalized older adults and their family caregivers (FCGs). FCG-patient dyads (n = 407) were randomized into two groups. The CARE group received a two-session empowerment-educational program 1-2 days post-admission and 1-3 days pre-discharge. The attention control group received a generic information program during the same timeframe. Follow-up was at 2 weeks and 2 months post-discharge. There were no statistically significant differences in patient or FCG outcomes. However, inconsistent evidence of role outcome differences suggests that CARE may benefit certain FCG subgroups instead of being a one-size-fits-all intervention strategy. Closer examination of CAREs mechanisms and effects is needed.