Assessing the Impact of Relative Social Position and Absolute Community Resources on Depression and Obesity Among Smokers

We tested two competing hypotheses-relative social position and community resources-in regards to their effect on two co-occurring health problems (depression, and obesity) in a sample of smokers participating in an online smoking cessation intervention. Income and education data at the zip code level from the 2000 Census was linked with individual level data. Logistic regression models were used for each co-occurring problem to determine how each SES variable (individually and interactively) was associated with the presence of co-occurring health problems. We found that lower individual education was related to poorer health for all outcomes (Depression: OR = 1.25; Obesity: OR = 1.24; Both: OR = 1.46), lower community education was only related to obesity (OR = 1.20). Lower individual income was related to higher rates of depressive symptoms (OR = 1.64) and both health problems (OR = 1.55); a significant interaction of individual and community income (Wald = 6.13, p < .05) revealed that high income individuals were less likely to be depressed if they lived in lower-income communities and became more likely to be so as community income increased. Relative social position was confirmed for depression, whereas community resources were prominent only for obesity. Higher individual education most consistently predicted positive health outcomes, making it a potentially powerful target to reduce health disparities.     

One-day behavioral treatment for patients with comorbid depression and migraine: a pilot study

BackgroundMigraine is a common and disabling disorder that is highly comorbid with depression. The comorbidity of depression and migraine is a major health concern as it results in poorer prognosis and quality of life. Yet, effective treatments have rarely been investigated.Method45 patients with comorbid migraine and depression were assigned to a 1-day Acceptance and Commitment Training plus Migraine Education workshop (ACT-ED; N = 31) or to Wait List/Treatment as Usual (WL/TAU; N = 14). Assessment of depressive symptoms, general functioning, and migraine related disability were completed at baseline and 2-, 6-, and 12 weeks after the workshop.ResultsAt the 3-month follow up, participants in the ACT-ED condition exhibited significantly greater improvements in depressive symptoms, general functioning, and migraine-related disability than patients in the WL/TAU group.ConclusionA 1-day ACT-ED workshop is a promising approach to the treatment for depression and disability in migraineurs that merits further investigation.     

Controlled prospective study of postpartum mood disorders: psychological, environmental, and hormonal variables

Demographic, psychiatric, social, cognitive, and life stress variables were used to determine the etiology of depression in childbearing (CB; n = 182) and nonchildbearing (NCB; n = 179) women. Hormonal variables in postpartum depression were also evaluated. In the CB group predictors of depression diagnosis were previous depression, depression during pregnancy, and a Vulnerability (V) x Life Stress (LS) interaction; predictors of depressive symptomatology were previous depression, depressive symptoms during pregnancy, life events, and V x LS. Only estradiol was associated with postpartum depression diagnosis. In the NCB group V X LS was the only predictor of depression diagnosis; depressive symptoms during pregnancy and life events were predictors of depressive symptomatology. Previous findings about depression vulnerability were replicated. The significant V x LS interactions support the vulnerability-stress model of postpartum depression.     

Modelling monotonic effects of ordinal predictors in Bayesian regression models

Ordinal predictors are commonly used in regression models. They are often incorrectly treated as either nominal or metric, thus under- or overestimating the information contained. Such practices may lead to worse inference and predictions compared to methods which are specifically designed for this purpose. We propose a new method for modelling ordinal predictors that applies in situations in which it is reasonable to assume their effects to be monotonic. The parameterization of such monotonic effects is realized in terms of a scale parameter b representing the direction and size of the effect and a simplex parameter modelling the normalized differences between categories. This ensures that predictions increase or decrease monotonically, while changes between adjacent categories may vary across categories. This formulation generalizes to interaction terms as well as multilevel structures. Monotonic effects may be applied not only to ordinal predictors, but also to other discrete variables for which a monotonic relationship is plausible. In simulation studies we show that the model is well calibrated and, if there is monotonicity present, exhibits predictive performance similar to or even better than other approaches designed to handle ordinal predictors. Using Stan, we developed a Bayesian estimation method for monotonic effects which allows us to incorporate prior information and to check the assumption of monotonicity. We have implemented this method in the R package brms, so that fitting monotonic effects in a fully Bayesian framework is now straightforward.     

Perceived Stress and Comorbid Illness Predict Depressive Symptomatology in People with Coeliac Disease

A high prevalence of depression is found in people with coeliac disease (CD). People with CD who are depressed are less likely to manage their illness effectively, which may lead to complications. Identification of variables associated with depression in people with CD may facilitate early detection and intervention. Participants were 749 members (125 males, 622 females) of the Queensland Coeliac Society (aged 18–88 years), recruited via a mailout. Participants completed the Modified Zung Self‐Rating Depression Scale, the Perceived Stress Scale, and the Perceived Consequences Subscale (from the Revised Illness Perception Questionnaire). Stress (p = .001) and comorbid medical illness (p = .01) were significantly associated with depression in CD. The current study made an original contribution to the body of literature by identifying stress and comorbid medical illness as predictors of depression in CD.     

CBT intensity and outcome for panic disorder in a primary care setting

A hybrid efficacy-effectiveness design in which participants (n = 91/93) were retained in the study regardless of whether or not they received treatment enabled evaluation of CBT intensity in relation to panic disorder in the primary care setting. CBT intensity was operationalized as number of cognitive-behavioral therapy sessions, number of follow-up booster phone calls, and secondarily, as number of cognitive behavioral coping and exposure strategies. Baseline psychosocial and demographic predictors of CBT intensity were analyzed first. Severity of anxiety sensitivity predicted number of cognitive behavioral sessions, but no baseline variables predicted number of follow-up booster phone calls or number of coping and exposure strategies. Multivariate logistic and linear regressions were used to evaluate the degree to which treatment intensity predicted 3-month and 12-month outcomes (anxiety sensitivity, phobic avoidance, depressive symptoms, disability, and medical and mental health functioning) after controlling for potential confounding baseline variables. Number of cognitive behavioral therapy sessions predicted lower anxiety sensitivity at 3 and 12 months, and number of follow-up booster phone calls predicted lower anxiety sensitivity, less phobic avoidance, and less depression at 12 months. These findings indicate that "dose" of psychotherapy was an important predictor of outcome. The significance of follow-up booster phone contact is discussed as an index of continued self-management of panic and anxiety following acute treatment.     

Relative Income and Job Satisfaction: Evidence from Australia

Using the first six waves of the Household, Income and Labour Dynamics in Australia (HILDA) Survey dataset, a linear fixed effects model is used to examine the link between relative income and overall job satisfaction in Australia. In this paper, relative income is constructed using cell average by age group, gender and education level. The findings indicate that (i) relative income has a significant negative impact on overall job satisfaction for men but not for women; and (ii) for the whole sample and for men, income comparisons are asymmetric and upwards, meaning that the loss in overall job satisfaction by the poor from having an income below that of their reference group is significantly greater than the gain by the rich from knowing that they earn above that of their reference group. Overall, the evidence found is consistent with Dueseneberry’s hypothesis that relative income matters and comparison effect is asymmetric and mostly upwards.     

Income Volatility and Psychological Depression

Income volatility appears to be increasing especially among lower income workers. Such volatility may reflect the ongoing shift of economic risk from employers to employees as marked by decreasing job security and employer-provided benefits. This study tests whether absolute volatility or downward volatility in income predict depression controlling for prior depression. A sample (n = 4,493) from the National Longitudinal Survey of Youth (NLSY79) with depression (CESD) measured at age 40 and prior depression measured eight to 10 years earlier was utilized. Downward volatility (frequency of income loss) was positively associated with depression; adjusting for downward volatility and other covariates, absolute volatility was negatively associated with depression. An interaction indicated a positive association between downward volatility and depression only when absolute volatility was high. These findings apply to respondents in a narrow age range (30 s) and the results warrant replication to identify the mediators linking absolute volatility and income loss to depression.     

Depression and anxiety correlate with disease-related characteristics and quality of life in Chinese patients with gout: a case-control study

This study aims to evaluate the prevalence of depression and anxiety and investigate the potential risk factors for depression and anxiety in Chinese gout patients. A self-report survey was administered to 226 gout patients and 232 age- and gender-matched healthy individuals. Patients were asked to complete a set of standardized self-report questionnaires. Univariate and mutiple regression were used to analyze the data. We found 15.0% of gout patients had depression, and 5.3% had anxiety. After adjusted demographic variables, the prevalence of depression was significantly higher than the healthy controls (6.0%). There were significant correlations among education, total pain, disease duration, stage of gout, functional disability, number of tophi, number of flares/last year, presence of tender joints, nephropathy comorbidity, health-related quality of life (HRQoL), and psychological status. Meanwhile, logistic regression analysis identified number of tophi, functional disability, and mental component summary (MCS) as predictors of depression in gout patients. Education and MCS were significantly accounted for anxiety. In summary, the prevalence of depressive symptoms among gout patients was higher than healthy individuals. Education, disability, tophi and HRQoL were important risk factors linked to depression/anxiety in Chinese gout population.     

Women and vulnerability to depression: some personality and clinical factors

The purpose of this study is to explore the role of sex differences and personality in vulnerability to depression. Sex differences in personality and some clinical variables are described. We also assess the value of the variables that revealed significant sex differences as predictors of vulnerability to depression. In a group of adult participants (N = 112), 50% males and 50% females (mean age = 41.30; SD = 15.09; range 17-67), we studied sex differences in the three-factor personality model, using the Eysenck Personality Questionnaire, Form A (EPQ-A; Eysenck & Eysenck, 1975), and in the Five-Factor Personality Model, with the NEO Personality Inventory (NEO-PI; Costa & McCrae, 1985). The following clinical scales were used: the Beck Depression Inventory (BDI; Beck, Rush, Shaw, & Emery, 1979), the Schizotypy Questionnaire (STQ; Claridge & Broks, 1984; Spanish version, Carrillo & Rojo, 1999), the THARL Scales (Dua, 1989, 1990; Spanish version, Dua & Carrillo, 1994) and the Adjustment Inventory (Bell, 1937; Spanish version, Cerdá, 1980). Subsequently, simple linear regression analysis, with BDI scores as criterion, were performed to estimate the value of the variables as predictors of vulnerability to depression. The results indicate that a series of personality variables cause women to be more vulnerable to depression than men and that these variables could be explained by a negative emotion main factor. Results are discussed within the framework of the psychological behaviorism theory of depression.     

Multiaxial taxonomy of fibromyalgia syndrome patients

Pain, disability, and depression are present in various degrees in patients with fibromyalgia syndrome. Cluster analysis was used in this research to ascertain the existence of subgroups of patients in a fibromyalgia sample based on these variables. Two clusters were defined: one characterized by high levels of pain, disability, and depression (n=51) and another characterized by low levels of pain, disability, and depression (n=67). Multivariate analysis of variance (MANOVA) confirmed differences between clusters on these health status factors and a second MANOVA revealed that the subgroup with a poorer health status reported greater passive coping, helplessness, and stress, and less satisfaction with social support, than the subgroup with better health status. Logistic regression indicated that the best discriminator of subgroup membership was helplessness. These results suggest that different approaches to patient management, particularly intervention strategies aimed at reducing helplessness, may be beneficial for patients with high levels of pain, disability, and depression.     

Is emotion regulation associated with cancer-related psychological symptoms?

Objectives: This study examined the cross-sectional and prospective relationships between subjective (cognitive reappraisal, expressive suppression and experiential avoidance) and objective (high-frequency heart rate variability [HF-HRV]) measures of emotion regulation (ER) and a set of psychological symptoms (anxiety, depression, fear of cancer recurrence [FCR], insomnia, fatigue, pain, and cognitive impairments) among women receiving radiation therapy for non-metastatic breast cancer.

Design: Eighty-one participants completed a battery of self-report scales within 10 days before the start of radiotherapy (T1) and within 10 days after its end (T2; approximately 6 weeks after T1). HF-HRV at rest was measured at T1.

Results: Canonical correlation analyses revealed that higher levels of experiential avoidance and expressive suppression were cross-sectionally associated with higher levels of all symptoms, except pain, at T1 and at T2 (both p’s?<?0.0001). Higher levels of suppression and reappraisal at T1 were marginally associated with reduced FCR and with increased depression and fatigue between T1 and T2 (p?=?0.07). HF-HRV was not associated with symptoms cross-sectionally or prospectively.

Conclusions: Although preliminary, these results are consistent with the hypothesis that maladaptive ER strategies, assessed subjectively, may cross-sectionally act as a transdiagnostic mechanism underlying several cancer-related psychological symptoms.     

The Effects of Assisted Housing on Child Well‐Being

The most rigorous research on the causal effects of assisted housing on children's outcomes finds no such effects. The present study uses rich longitudinal data from the Panel Study of Income Dynamics, augmented with Census, American Community Survey and U.S. Department of Housing and Urban Development administrative data, to unpack these nil effects. Analyses include 194 children ( age = 6.2 years) living in assisted housing in 1995 or later who were 13–17 years old in 2002 or 2007, and an unassisted comparison group of 215 children who were income‐eligible for, but never received, housing assistance. Results suggested no mean effects of living in assisted housing during childhood on adolescent cognitive, behavior, and health outcomes, addressing selection through propensity score matching and instrumental variables. However, quantile regressions suggest assisted housing provides an added boost for children with the best cognitive performance and fewest behavior problems but has opposite effects on children with the lowest cognitive scores and most behavior problems. Further tests indicate that these differences are not explained either by neighborhood effects or housing quality. A potentially fruitful avenue for future research investigates differences in how parents take advantage of the housing affordability provided by assisted housing to benefit their children.