Comparing CESD-10, PHQ-9, and PROMIS depression instruments in individuals with multiple sclerosis

Study protocol of a randomized controlled trial comparing backward walking to forward walking training on balance in multiple sclerosis: The TRAIN-MS trial

Balance impairment and accidental falls are a pervasive challenge faced by persons with multiple sclerosis (PwMS), significantly impacting their quality of life. While exercise has proven to be an effective intervention for improving mobility and functioning in PwMS, current exercise approaches predominantly emphasize forward walking (FW) and balance training, with variable improvements in balance and fall rates. Backward walking (BW) has emerged as a promising intervention modality for enhancing mobility and strength outcomes; however, significant gaps remain. Specifically, there is limited knowledge about the efficacy of BW interventions on outcomes such as static, anticipatory, and reactive balance, balance confidence, falls, and cognition. This randomized controlled trial aims to determine the feasibility, acceptability, and impact of 8-weeks of backward walking training (TRAIN-BW) as compared to forward walking training (TRAIN-FW). Ninety individuals with MS with self-reported walking dysfunction or ≥ 2 falls in the past 6 months will be randomized in blocks, stratified by sex and disease severity to either the TRAIN-BW or TRAIN-FW intervention groups. Adherence and retention rates will be used to determine feasibility and the Client Satisfaction Questionnaire will be used to assess acceptability. The primary outcomes will be static, anticipatory, and reactive balance. Secondary outcomes include walking velocity, balance confidence, concern about falling, cognition, physical activity, and fall rates measured prospectively for 6 months after post-testing. Additionally, the extent to which cognitive functioning influences response to intervention will be examined. Backward walking training may be an innovative intervention to address balance impairments and falls in persons with MS.

PTSD symptoms and subjective traumatic outlook in the Israel-Hamas war: Capturing a broader picture of posttraumatic reactions

This study examined the unique associations of both probable posttraumatic stress disorder (PTSD) and subjective traumatic outlook (STO) with psychiatric and psychological concomitants among Israelis during the Israel-Hamas War. While PTSD reflects phenomenological psychiatric reactions to traumatic events, STO reflects subjective evaluations that one is traumatized. A convenience sample of 375 Israelis aged 20-87 from around Israel completed an online survey in the first two months of the war. A series of univariate logistic and linear regressions showed that while both probable PTSD and STO were associated with significant depression and anxiety symptoms, STO showed unique associations with hope and revenge, psychological variables that may be more sensitive following exposure to human-made and war trauma. Theoretical and practical considerations regarding these results suggest that a broader picture of post-trauma reactions can be captured by accounting for both the observed symptoms (PTSD) and one's introspective perception of being traumatized (STO).

Mapping the Relationship of White Matter Lesions to Depression in Multiple Sclerosis

BACKGROUND

Multiple sclerosis (MS) is an immune-mediated neurological disorder, and up to 50% of patients experience depression. We investigated how white matter network disruption is related to depression in MS.

METHODS

Using electronic health records, 380 participants with MS were identified. Depressed individuals (MS+Depression group; n = 232) included persons who had an ICD-10 depression diagnosis, had a prescription for antidepressant medication, or screened positive via Patient Health Questionnaire (PHQ)-2 or PHQ-9. Age- and sex-matched nondepressed individuals with MS (MS-Depression group; n = 148) included persons who had no prior depression diagnosis, had no psychiatric medication prescriptions, and were asymptomatic on PHQ-2 or PHQ-9. Research-quality 3T structural magnetic resonance imaging was obtained as part of routine care. We first evaluated whether lesions were preferentially located within the depression network compared with other brain regions. Next, we examined if MS+Depression patients had greater lesion burden and if this was driven by lesions in the depression network. Primary outcome measures were the burden of lesions (e.g., impacted fascicles) within a network and across the brain.

RESULTS

MS lesions preferentially affected fascicles within versus outside the depression network (β = 0.09, 95% CI = 0.08 to 0.10, p < .001). MS+Depression patients had more lesion burden (β = 0.06, 95% CI = 0.01 to 0.10, p = .015); this was driven by lesions within the depression network (β = 0.02, 95% CI = 0.003 to 0.040, p = .020).

CONCLUSIONS

We demonstrated that lesion location and burden may contribute to depression comorbidity in MS. MS lesions disproportionately impacted fascicles in the depression network. MS+Depression patients had more disease than MS-Depression patients, which was driven by disease within the depression network. Future studies relating lesion location to personalized depression interventions are warranted.

What does routine depression screening in the ambulatory orthopedic clinic teach us? Results from nearly 60,000 patient encounters

Background

It remains unclear what role depression screening plays in routine ambulatory orthopedic care. The purpose of this study was to determine (1) the floor and ceiling effects of the Patient-Reported Outcomes Measurement Information System Depression (PROMIS-D) form, (2) the prevalence of positive PROMIS-D screening forms across an orthopedic service line, and (3) the prevalence of previously diagnosed depression and interventions among a representative sample of patients.

Methods

This retrospective study analyzed 58,227 patients who presented to ambulatory orthopedic clinics across an orthopedic service line between January 1, 2019 to December 31, 2021. All patients completed a self-administered PROMIS-D form as part of the ambulatory encounter. Scores were analyzed with respect to patient characteristics including age, gender, and presenting orthopedic complaint. A sample of 1000 patients was evaluated for prevalence of depressive symptoms and formal psychiatric diagnosis and interventions in the 5 years preceding the clinic visit.

Results

PROMIS-D displayed a negligible ceiling effect (<0.001 %) but a large floor effect (19.0 %). PROMIS-D scores indicating depressive symptoms were highest among patients presenting with spine complaints (42.8 %) and lowest among patients presenting to orthopedic pediatric clinics (28.6 %). Women and those in the lowest quartile median household income (MHI) were more likely to report depressive symptoms. Among the 1000 patient sample, 31.3 % exhibited depressive symptoms. Of these, 39 % had previously received some form of mental health treatment, including 33.2 % who were prescribed antidepressants.

Conclusions

PROMIS-D is a useful screening questionnaire for patients in the orthopedic clinic, although there is a consistent floor effect. There are a number of patients who present to the orthopedic clinic who have depressive symptoms but have had no interaction with behavioral health. Given the impact depression can have on outcomes, screening for depressive symptoms should be considered as part of routine orthopedic practice.

Using Objective and Subjective Measures of Cognition to Predict Instrumental Activities of Daily Living Abilities in Multiple Sclerosis

BACKGROUND

Cognitive impairment, difficulty performing basic activities of daily living (ADLs) and instrumental ADLs (IADLs), depression, and fatigue are common among individuals with multiple sclerosis (MS). Some associations between these symptoms are known; however, many of their relationships remain unclear. This study investigated the contributions of subjective and objective cognition, depressive symptom severity, and fatigue on ADLs and IADLs.

METHODS

Participants (N = 217) were individuals with MS from a comprehensive MS center, participating in a larger study characterizing upper extremity function in MS. Outcome measures of ADL and IADL abilities were the Functional Status Index-Assistance (FSI-A) and Functional Status Index-Difficulty (FSI-D) and the Test D'évaluation Des Membres Supérieurs de Personnes Âgées (TEMPA). Predictors were objective cognition (Symbol Digit Modalities Test; SDMT), subjective cognition (Performance Scales©-Cognition; PS-C), depressive symptom severity (Center for Epidemiologic Studies Depression Scale; CES-D-10), and fatigue (Modified Fatigue Impact Scale; MFIS-5). Correlations were conducted, followed by hierarchal linear regressions. The SDMT and PS-C were entered into separate models.

RESULTS

After controlling for demographics, the SDMT significantly predicted the TEMPA and FSI-A, while the PS-C predicted only the FSI-D. The CES-D-10 predicted the FSI-D even after accounting for PS-C and SDMT, while the MFIS-5 only predicted the FSI-D when the SDMT was included. Neither the CES-D-10 nor MFIS-5 significantly predicted the FSI-A or TEMPA.

CONCLUSIONS

The way an individual with MS perceived their symptoms significantly contributed to their reported difficulty with functional tasks, while only their objective cognitive functioning predicted ADL and IADL performance and the level of assistance they would require.

Association between social participation and memory function among Chinese stroke survivors: The mediating role of depressive symptoms

Although the association between social participation and memory function has been documented in other populations, whether it exists among stroke survivors is unclear. Additionally, the mechanisms underlying this association are largely unknown. We attempted to examine the association between social participation and memory function in stroke survivors and the possible mediating role of depressive symptoms. A total of 614 stroke survivors (mean age: 64.73 years) drawn from a nationally representative survey in China were investigated. Based on the descriptive statistics, a Pearson's correlation and bootstrapping-based mediation analysis were executed. The results indicated that an increase in social participation was associated with a decrease in depressive symptoms (r = -0.100, p < 0.05) and an increase in memory function (r = 0.162, p < 0.01). Moreover, memory function was significantly negatively related to depressive symptoms (r = -0.243, p < 0.01). In addition, after controlling for sociodemographic factors, depressive symptoms partially mediated the effects of social participation on memory function. Due to the cross-sectional research design, causal relationships cannot be verified between the study variables. However, interventions aimed at aiding stroke survivors in memory impairment recovery may consider strategies to enhance social participation and mitigate depressive symptoms.

Post-traumatic stress and future substance use outcomes: leveraging antecedent factors to stratify risk

Background

Post-traumatic stress disorder (PTSD) and substance use (tobacco, alcohol, and cannabis) are highly comorbid. Many factors affect this relationship, including sociodemographic and psychosocial characteristics, other prior traumas, and physical health. However, few prior studies have investigated this prospectively, examining new substance use and the extent to which a wide range of factors may modify the relationship to PTSD.

Methods

The Advancing Understanding of RecOvery afteR traumA (AURORA) study is a prospective cohort of adults presenting at emergency departments (N = 2,943). Participants self-reported PTSD symptoms and the frequency and quantity of tobacco, alcohol, and cannabis use at six total timepoints. We assessed the associations of PTSD and future substance use, lagged by one timepoint, using the Poisson generalized estimating equations. We also stratified by incident and prevalent substance use and generated causal forests to identify the most important effect modifiers of this relationship out of 128 potential variables.

Results

At baseline, 37.3% (N = 1,099) of participants reported likely PTSD. PTSD was associated with tobacco frequency (incidence rate ratio (IRR): 1.003, 95% CI: 1.00, 1.01, p = 0.02) and quantity (IRR: 1.01, 95% CI: 1.001, 1.01, p = 0.01), and alcohol frequency (IRR: 1.002, 95% CI: 1.00, 1.004, p = 0.03) and quantity (IRR: 1.003, 95% CI: 1.001, 1.01, p = 0.001), but not with cannabis use. There were slight differences in incident compared to prevalent tobacco frequency and quantity of use; prevalent tobacco frequency and quantity were associated with PTSD symptoms, while incident tobacco frequency and quantity were not. Using causal forests, lifetime worst use of cigarettes, overall self-rated physical health, and prior childhood trauma were major moderators of the relationship between PTSD symptoms and the three substances investigated.

Conclusion

PTSD symptoms were highly associated with tobacco and alcohol use, while the association with prospective cannabis use is not clear. Findings suggest that understanding the different risk stratification that occurs can aid in tailoring interventions to populations at greatest risk to best mitigate the comorbidity between PTSD symptoms and future substance use outcomes. We demonstrate that this is particularly salient for tobacco use and, to some extent, alcohol use, while cannabis is less likely to be impacted by PTSD symptoms across the strata.

Cross-cultural adaptation and psychometric properties of the Thai version of the patient-reported outcomes measurement information system short form- depression 8a in individuals with chronic low back pain

BACKGROUND

The study aimed to cross-culturally adapt the Patient-Reported Outcomes Measurement Information System Short Form v1.0 - Depression 8a (PROMIS SF v1.0 - Depression 8a) into Thai and evaluate its psychometric properties in individuals with chronic low back pain (CLBP).

METHODS

The PROMIS SF v1.0- Depression 8a was translated and cross-culturally adapted into Thai using the Functional Assessment of Chronic Illness Therapy translation methodology. Two hundred and sixty-nine individuals with CLBP completed the Thai version of PROMIS SF v1.0- Depression 8a (T-PROMIS-D-8a) scale and a set of measures assessing validity criterion domains. Structural validity, internal consistency, and test-retest reliability at a 7-day interval of the T-PROMIS-D-8a scale were computed and its construct validity was evaluated by computing correlations with the Thai version of Patient Health Questionnaire-9 (T-PHQ-9), Numeric Rating Scale of pain intensity (T-NRS), and Fear Avoidance Beliefs Questionnaire (T-FABQ).

RESULTS

Data from 269 participants were analyzed. Most participants were women (70%), and the sample had a mean age of 42.5 (SD 16.6) years. The findings supported the unidimensionality, internal consistency (Cronbach's alpha = 0.94), and test-retest reliability (ICC [2,1] = 0.86) of the T-PROMIS-D-8a. A floor effect was observed for 16% of the sample. Associations with the T-PHQ-9, T-NRS, and T-FABQ supported the construct validity of the T-PROMIS-D-8a.

CONCLUSIONS

The T-PROMIS-D-8a was successfully translated and culturally adapted. The findings indicated that the scale is reliable and valid for assessing depression in Thai individuals with CLBP.

Headache and Other Pain Syndromes in Multiple Sclerosis: A Narrative Review

Multiple sclerosis is a chronic and progressive neurological disease, with an important socio-economic burden. Over time, an increased incidence of headaches like migraines and tension headaches has been observed among these patients. Headaches have not been considered as multiple sclerosis-related symptoms, even representing a red flag for multiple sclerosis diagnosis. It is uncertain whether the headache-multiple sclerosis association could be explained by the presence of common triggers or a common physiopathological mechanism (involvement of tertiary B-cell follicles). An important differential diagnosis is between multiple sclerosis attacks and migraines with aura, which can also be associated with neurological deficits. Another important aspect is the occurrence or exacerbation of the cephalalgic syndrome after the initiation of therapy for multiple sclerosis (DMTs), or the improvement of headache after the initiation of certain DMT drugs. In addition to headaches, individuals diagnosed with multiple sclerosis often report experiencing diverse pain syndromes, contributing to an additional decline in their overall quality of life. These syndromes are frequently neglected, the focus being on slowing down the progression of neurological deficits. This review aims to evaluate the characteristics of multiple-sclerosis-related headaches (frequency, possible correlation with attacks, and disease-modifying therapies) and the key distinctions in imaging characteristics between demyelinating lesions in multiple sclerosis and those observed in cases of primary headaches.

Associations of alcohol and cannabis use with change in posttraumatic stress disorder and depression symptoms over time in recently trauma-exposed individuals

BACKGROUND

Several hypotheses may explain the association between substance use, posttraumatic stress disorder (PTSD), and depression. However, few studies have utilized a large multisite dataset to understand this complex relationship. Our study assessed the relationship between alcohol and cannabis use trajectories and PTSD and depression symptoms across 3 months in recently trauma-exposed civilians.

METHODS

In total, 1618 (1037 female) participants provided self-report data on past 30-day alcohol and cannabis use and PTSD and depression symptoms during their emergency department (baseline) visit. We reassessed participant's substance use and clinical symptoms 2, 8, and 12 weeks posttrauma. Latent class mixture modeling determined alcohol and cannabis use trajectories in the sample. Changes in PTSD and depression symptoms were assessed across alcohol and cannabis use trajectories via a mixed-model repeated-measures analysis of variance.

RESULTS

Three trajectory classes (low, high, increasing use) provided the best model fit for alcohol and cannabis use. The low alcohol use class exhibited lower PTSD symptoms at baseline than the high use class; the low cannabis use class exhibited lower PTSD and depression symptoms at baseline than the high and increasing use classes; these symptoms greatly increased at week 8 and declined at week 12. Participants who already use alcohol and cannabis exhibited greater PTSD and depression symptoms at baseline that increased at week 8 with a decrease in symptoms at week 12.

CONCLUSIONS

Our findings suggest that alcohol and cannabis use trajectories are associated with the intensity of posttrauma psychopathology. These findings could potentially inform the timing of therapeutic strategies.

Internal capsule microstructure mediates the relationship between childhood maltreatment and PTSD following adulthood trauma exposure

Childhood trauma is a known risk factor for trauma and stress-related disorders in adulthood. However, limited research has investigated the impact of childhood trauma on brain structure linked to later posttraumatic dysfunction. We investigated the effect of childhood trauma on white matter microstructure after recent trauma and its relationship with future posttraumatic dysfunction among trauma-exposed adult participants (n = 202) recruited from emergency departments as part of the AURORA Study. Participants completed self-report scales assessing prior childhood maltreatment within 2-weeks in addition to assessments of PTSD, depression, anxiety, and dissociation symptoms within 6-months of their traumatic event. Fractional anisotropy (FA) obtained from diffusion tensor imaging (DTI) collected at 2-weeks and 6-months was used to index white matter microstructure. Childhood maltreatment load predicted 6-month PTSD symptoms (b = 1.75, SE = 0.78, 95% CI = [0.20, 3.29]) and inversely varied with FA in the bilateral internal capsule (IC) at 2-weeks (p = 0.0294, FDR corrected) and 6-months (p = 0.0238, FDR corrected). We observed a significant indirect effect of childhood maltreatment load on 6-month PTSD symptoms through 2-week IC microstructure (b = 0.37, Boot SE = 0.18, 95% CI = [0.05, 0.76]) that fully mediated the effect of childhood maltreatment load on PCL-5 scores (b = 1.37, SE = 0.79, 95% CI = [-0.18, 2.93]). IC microstructure did not mediate relationships between childhood maltreatment and depressive, anxiety, or dissociative symptomatology. Our findings suggest a unique role for IC microstructure as a stable neural pathway between childhood trauma and future PTSD symptoms following recent trauma. Notably, our work did not support roles of white matter tracts previously found to vary with PTSD symptoms and childhood trauma exposure, including the cingulum bundle, uncinate fasciculus, and corpus callosum. Given the IC contains sensory fibers linked to perception and motor control, childhood maltreatment might impact the neural circuits that relay and process threat-related inputs and responses to trauma.

Association between microbiome and the development of adverse posttraumatic neuropsychiatric sequelae after traumatic stress exposure

Patients exposed to trauma often experience high rates of adverse post-traumatic neuropsychiatric sequelae (APNS). The biological mechanisms promoting APNS are currently unknown, but the microbiota-gut-brain axis offers an avenue to understanding mechanisms as well as possibilities for intervention. Microbiome composition after trauma exposure has been poorly examined regarding neuropsychiatric outcomes. We aimed to determine whether the gut microbiomes of trauma-exposed emergency department patients who develop APNS have dysfunctional gut microbiome profiles and discover potential associated mechanisms. We performed metagenomic analysis on stool samples (n = 51) from a subset of adults enrolled in the Advancing Understanding of RecOvery afteR traumA (AURORA) study. Two-, eight- and twelve-week post-trauma outcomes for post-traumatic stress disorder (PTSD) (PTSD checklist for DSM-5), normalized depression scores (PROMIS Depression Short Form 8b) and somatic symptom counts were collected. Generalized linear models were created for each outcome using microbial abundances and relevant demographics. Mixed-effect random forest machine learning models were used to identify associations between APNS outcomes and microbial features and encoded metabolic pathways from stool metagenomics. Microbial species, including Flavonifractor plautii, Ruminococcus gnavus and, Bifidobacterium species, which are prevalent commensal gut microbes, were found to be important in predicting worse APNS outcomes from microbial abundance data. Notably, through APNS outcome modeling using microbial metabolic pathways, worse APNS outcomes were highly predicted by decreased L-arginine related pathway genes and increased citrulline and ornithine pathways. Common commensal microbial species are enriched in individuals who develop APNS. More notably, we identified a biological mechanism through which the gut microbiome reduces global arginine bioavailability, a metabolic change that has also been demonstrated in the plasma of patients with PTSD.

Reciprocal associations between parental depression and child cognition: Pathways to children's internalizing and externalizing symptoms

Parental depression is a risk factor for children's cognitive and psychological development. Literature has found reciprocal relations between parental depression and child psychopathology and effects of parental depression on children's cognition. The present study is the first to examine reciprocity among parental depression and child cognition, and pathways to child psychopathology. Structural equation models were conducted using data from the Early Head Start Research and Evaluation Project, a nationally representative sample of 3,001 economically marginalized families. Measures were collected in four waves from 14 months to 10-11 years. Reciprocal associations emerged between maternal and paternal depression at from 14 months to 5 years. Reciprocal parental depression was associated with greater psychopathology at age 10-11. Maternal depression predicted poorer child cognition, which indirectly predicted increased depression in mothers of children aged 3-5 through paternal depression, and in fathers at age 3, through earlier paternal depression. This study was unable to parse within- and between-person effects. Additionally, data for paternal depression was limited to ages 2 and 3. Findings emphasize the transactional nature of child cognition and child and parent psychopathology, supporting family focused intervention and prevention efforts that target parent psychopathology and child cognition.

Childhood abuse as a mediator of the relationship between early family socio-economic status and geriatric depression: A population-based study in China

Previous studies have suggested that childhood socioeconomic status (SES) is linked to geriatric depressive symptoms in many developed countries. However, the potential pathways of the relationship between childhood SES and geriatric depressive symptoms need to be further explored. This study aimed to assess the mediating effect of being abused during childhood on the association between childhood SES and geriatric depressive symptoms, using evidence from a longitudinal study in China. The study cohort included 8137 individuals. Childhood abuse was defined as experiences related to parental violence, sibling abuse, school violence, community violence, and parental quarrel. Results indicated poor childhood SES was associated significantly with geriatric depressive symptoms. The indirect effect of poor childhood SES to high geriatric depressive risk through community violence, sibling abuse, school violence, and parental quarrel were 0.02, 0.01, 0.02, and 0.01, respectively. Our findings shed new light on the literature regarding the impact of childhood SES on elderly depressive symptoms. Furthermore, childhood SES demonstrated a significant correlation with geriatric depressive symptoms through bullying behaviors. The findings highlight the need to promote both childhood social welfare and psychological well-being within the elderly population.

Development and Evaluation of Linguistic Stimuli for Pain Research

Linguistic stimuli are commonly used in research to investigate the processing of pain. To provide researchers with a dataset of pain-related and non-pain-related linguistic stimuli, this research investigated 1) the associative strength between pain-related words and the pain construct; 2) the pain-relatedness ratings of pain words; and 3) the variability in the relatedness of pain words within pain word classifications (eg, sensory pain words). In Study 1, 194 pain-related and matched non-pain-related words were retrieved by reviewing the pain-related attentional bias literature. In Study 2, adults with (n = 85) and without (n = 48) self-reported chronic pain completed a speeded word categorization paradigm and rated the pain-relatedness of a subset of pain words. Analyses revealed that 1) despite differences in associative strength of 11.3% of the words between chronic and non-chronic pain groups, no overall group difference was found, 2) the chronic pain group rated the pain words as more pain-related compared to the non-chronic pain group, and 3) there was variability in the relatedness of pain words within pain word classifications. The findings highlight the importance of validating linguistic pain stimuli. The resulting dataset is openly accessible and new published sets can be added to the Linguistic Materials for Pain (LMaP) Repository. PERSPECTIVE: This article presents the development and preliminary evaluation of a large pool of pain-related and non-pain-related words in adults with and without self-reported chronic pain. Findings are discussed and guidelines are offered to select the most suitable stimuli for future research.

Mapping the relationship of white matter lesions to depression in multiple sclerosis

Importance

Multiple sclerosis (MS) is an immune-mediated neurological disorder that affects nearly one million people in the United States. Up to 50% of patients with MS experience depression.

Objective

To investigate how white matter network disruption is related to depression in MS.

Design

Retrospective case-control study of participants who received research-quality 3-tesla neuroimaging as part of MS clinical care from 2010-2018. Analyses were performed from May 1 to September 30, 2022.

Setting

Single-center academic medical specialty MS clinic.

Participants

Participants with MS were identified via the electronic health record (EHR). All participants were diagnosed by an MS specialist and completed research-quality MRI at 3T. After excluding participants with poor image quality, 783 were included. Inclusion in the depression group (MS+Depression) required either: 1) ICD-10 depression diagnosis (F32-F34.*); 2) prescription of antidepressant medication; or 3) screening positive via Patient Health Questionnaire-2 (PHQ-2) or -9 (PHQ-9). Age- and sex-matched nondepressed comparators (MS-Depression) included persons with no depression diagnosis, no psychiatric medications, and were asymptomatic on PHQ-2/9.

Exposure

Depression diagnosis.

Main Outcomes and Measures

We first evaluated if lesions were preferentially located within the depression network compared to other brain regions. Next, we examined if MS+Depression patients had greater lesion burden, and if this was driven by lesions specifically in the depression network. Outcome measures were the burden of lesions (e.g., impacted fascicles) within a network and across the brain. Secondary measures included between-diagnosis lesion burden, stratified by brain network. Linear mixed-effects models were employed.

Results

Three hundred-eighty participants met inclusion criteria, (232 MS+Depression: age[SD]=49[12], %females=86; 148 MS-Depression: age[SD]=47[13], %females=79). MS lesions preferentially affected fascicles within versus outside the depression network (β=0.09, 95% CI=0.08-0.10, P<0.001). MS+Depression had more white matter lesion burden (β=0.06, 95% CI=0.01-0.10, P=0.015); this was driven by lesions within the depression network (β=0.02, 95% CI 0.003-0.040, P=0.020).

Conclusions and Relevance

We provide new evidence supporting a relationship between white matter lesions and depression in MS. MS lesions disproportionately impacted fascicles in the depression network. MS+Depression had more disease than MS-Depression, which was driven by disease within the depression network. Future studies relating lesion location to personalized depression interventions are warranted.

Visa type and financial strain on depressive symptoms among Filipino migrants to the United States

Migrants have been theorized to be healthier than their non-migrant counterparts; however, there is limited examination of health selection using binational data and how selection occurs, particularly for mental health outcomes. This study examines the role of visa status and financial strain as critical factors for mental health selection among Filipino migrants to the U.S. and non-migrants who remain in the Philippines. We used the baseline data from the Health of Philippine Emigrants Study (HoPES; n = 1631) to compare depressive symptoms between non-migrants and migrants who were both surveyed prior to their departure to the U.S. We assessed depressive symptoms using linear regression by migration status, financial strain, and by visa categories including fiancée/marriage, unlimited family reunification, limited family reunification, and employment. Overall, all migrants reported lower depressive symptoms than non-migrants; however, depressive symptoms varied by visa type. Fiancée/marriage migrants had lower depressive symptoms than compared to limited family reunification migrants. Additionally, those who reported financial strain had higher depressive symptoms than those without any financial strain. We find that migrants were positively selected for mental health using a unique sample of Filipino migrants before they left for the U.S.

Latent profile analysis of cognitive function and depressive symptoms in Chinese elderly: results from the China Health and Retirement Longitudinal Study

BACKGROUND

Geriatric cognitive impairment often occurs in conjunction with depressive symptoms. This study focuses on categorising the Chinese elderly with such co-occurring symptoms into homogeneous groups using latent profile analysis (LPA), a person-centred statistical approach.

METHODS

Information on cognitive function and depressive states of the elderly was extracted from the China Health and Retirement Longitudinal Study. The underlying characteristics were identified by LPA, and based on those findings, differences in demographic characteristics of different subgroups were explored by chi-squared test and analysis of variance.

RESULTS

A total of 6710 Chinese elderly who met the inclusion criteria were selected from the dataset. Four subgroups were identified among this sample by LPA, based on cognitive function associated with depressive symptoms, and named in this study as follows: mild cognitive impairment (n = 3747, 55.84%), moderate cognitive impairment (n = 1306, 19.46%), mild cognitive impairment combined with depressive symptoms (n = 1114, 16.6%), and moderate cognitive impairment combined with depression (n = 543, 8.09%). Age, gender, marital status, and educational level were all significantly different across subgroups (P < 0.001); religious belief and pension mode, however, were not (P > 0.05).

CONCLUSIONS

In the present study, four subgroups of cognitive function combined with depressive symptoms were found in Chinese elderly individuals, and differences in demographic factors were noted between the subgroups. In clinical practise, these findings could help clinical workers identify patients accurately and consider the demographic features of each subgroup when designing medical treatment, care, and rehabilitation programmes for those with cognitive impairment and concomitant depressive symptoms.

Factor structure of the 10-item CES-D Scale among patients with persistent COVID-19

The presence of persistent coronavirus disease 2019 (COVID-19) might be associated with significant levels of psychological distress that would meet the threshold for clinical relevance. The Center for Epidemiologic Studies Depression Scale (CES-D) version 10 has been widely used in assessing psychological distress among general and clinical populations from different cultural backgrounds. To our knowledge, however, researchers have not yet validated these findings among patients with persistent COVID-19. A cross-sectional validation study was conducted with 100 patients from the EXER-COVID project (69.8% women; mean (±standard deviation) ages: 47.4 ± 9.5 years). Confirmatory factor analyses (CFAs) were performed on the 10-item CES-D to test four model fits: (a) unidimensional model, (b) two-factor correlated model, (c) three-factor correlated model, and (d) second-order factor model. The diagonal-weighted least-squares estimator was used, as it is commonly applied to latent variable models with ordered categorical variables. The reliability indices of the 10-item CES-D in patients with persistent COVID-19 were as follows: depressive affect factor ( α Ord = 0 . 82 ${\alpha }_{\mathrm{Ord}}=0.82$ ; ω u - cat = 0 . 78 ${\omega }_{{\rm{u}}-\mathrm{cat}}=0.78$ ), somatic retardation factor ( α Ord = 0 . 78 ${\alpha }_{\mathrm{Ord}}=0.78$ ; ω u - cat = 0 . 56 ${\omega }_{{\rm{u}}-\mathrm{cat}}=0.56$ ), and positive affect factor ( α Ord = 0 . 56 ${\alpha }_{\mathrm{Ord}}=0.56$ ; ω u - cat = 0 . 55 ${\omega }_{{\rm{u}}-\mathrm{cat}}=0.55$ ). The second-order model fit showed good Omega reliability ( ω ho = 0 . 87 ${\omega }_{\mathrm{ho}}=0.87$ ). Regarding CFAs, the unidimensional-factor model shows poor goodness of fit, especially residuals analysis (root mean square error of approximation [RMSEA] = 0.081 [95% confidence interval, CI = 0.040-0.119]; standardized root mean square residual [SRMR] = 0.101). The two-factor correlated model, three-factor correlated model, and second-order factor model showed adequate goodness of fit, and the χ² difference test ( ∆ X 2 $\unicode{x02206}{X}^{2}$ ) did not show significant differences between the goodness of fit for these models ( ∆ X 2 = 4.1128 $\unicode{x02206}{X}^{2}=4.1128$ ; p = 0.127). Several indices showed a good fit with the three-factor correlated model: goodness-of-fit index = 0.974, comparative fit index = 0.990, relative noncentrality index = 0.990, and incremental fit index = 0.990, which were all above 0.95, the traditional cut-off establishing adequate fit. On the other hand, RMSEA = 0.049 (95% CI = 0.000-0.095), where an RMSEA < 0.06-0.08 indicates an adequate fit. Item loadings on the factors were statistically significant ( λ j ≥ 0.449 ${\lambda }_{j}\ge 0.449$ ; p's < 0.001), indicating that the items loaded correctly on the corresponding factors and the relationship between factors ( ϕ ≥ 0.382 $\phi \ge 0.382$ ; p's ≤ 0.001. To our knowledge, this is the first study to provide validity and reliability to 10-item CES-D in a persistent COVID-19 Spanish patient sample. The validation and reliability of this short screening tool allow us to increase the chance of obtaining complete data in a particular patient profile with increased fatigue and brain fog that limit patients' capacity to complete questionnaires.

Trajectory of self-care in people with stable heart failure and insomnia after two self-care interventions

OBJECTIVE

To describe (1) self-care trajectories among adults with heart failure (HF) and insomnia over 1-year; (2) the extent to which trajectories varied between cognitive behavioral therapy for insomnia (CBT-I) or HF self-care intervention; and (3) the associations between self-care trajectories and clinical and demographic characteristics, sleep, symptoms and stress, and functional performance.

METHODS

We conducted secondary analysis of data from a randomized controlled trial of the effects of CBT-I compared with HF self-care education among adults with stable HF and insomnia. We used the Self-Care of Heart Failure Index v6.2. The analytic approaches included t-tests, group-based trajectory modeling, ANOVA, and chi-square.

RESULTS

We included 175 participants (M age=63.0 (12.9) years, White, N = 100]. We found four self-care trajectories: Low self-care (N = 47, 26.8%); Moderate self-care (N = 68, 38.9%): Adequate self-care (N = 42, 24.0%); and Optimal self-care (N = 18, 10.3%). There was no difference in self-care trajectories between interventions. The low self-care group had the most severe baseline fatigue, anxiety, and perceived stress, and lowest cognitive abilities.

CONCLUSION

Both interventions prevented declining self-care. Future research is needed to determine the most efficacious intervention to improve self-care trajectories.

PRACTICE IMPLICATIONS

Healthcare providers should provide ongoing self-care support for those with persistently low and moderate self-care.

The impact of work interference with family on depressive symptoms among married working women: A longitudinal panel study

Purpose

This study aimed to investigate the effects of work interference with family (WIF) on depressive symptoms among married working women.

Methods

Data from 2014‒2018 of the Korean Longitudinal Survey of Women and Families were used. Only married women living with their husbands and wage workers were included, whereas those diagnosed with depression at the baseline year and those with missing values were excluded. A total of 1,504 individuals were included as the study population. The impact of WIF on depressive symptoms was analyzed using the generalized estimating equation model with a logit link.

Results

After adjusting for all the potential confounding variables, it was found that WIF had an effect on depressive symptoms. Women whose work interfered with their family were 1.58 times more likely to experience depressive symptoms than those who did not experience WIF (95% Confidence interval (CI): 1.30‒1.92). WIF due to irregular working hours had the highest odds ratio for depression (Adjusted odds ratio (OR): 2.01, 95% CI: 1.32‒3.08). Women with WIF were more likely to develop depressive symptoms when they had two or more children (With 2 children, Adjusted OR: 1.69, 95% CI: 1.31‒2.18; With 3 or more children, Adjusted OR: 1.63, 95% CI: 1.07–2.49).

Conclusions

Thus, married working women who experienced WIF were found to be at a higher risk of developing depressive symptoms. Therefore, considering how prevailing stereotypes that roles of men and women are separated can harm women’s mental health, policy measures should be implemented to ensure women’s quality of life based on the work-family balance.

Impact of Multiple Sclerosis and Its Association with Depression: An Analytical Case-Control Investigation

Multiple sclerosis (MS) is a neurological, chronic, inflammatory, and progressive disease with musculoskeletal problems and neurodegenerative disorders that causes worsening of the health status of patients. The aim of this study was to determine the level of depression in MS patients compared to a population of healthy subjects. The established sample size was 116 subjects matched with the same age, sex, and body mass index. The subjects were recruited from different multiple sclerosis associations and neurology clinics in different public health areas (case group n = 58) and healthy subjects from the same locality (control group n = 58). The scores and categories of the Beck Depression Inventory (BDI) in its Spanish version were collected. There was a clear statistically significant difference (p < 0.05) in the BDI scores between both groups. As a result, we found that the subjects with MS presented worse results with BDI = 9.52 ± 7.70 points compared to the healthy subjects with a BDI score = 5.03 ± 5.14. Within the BDI categories, there were statistically significant differences (p < 0.001), which were greater for the MS group. Depression is a dangerous factor for MS patients, being a trigger for a poorer quality of life.

Association of blood mercury exposure with depressive symptoms in the Chinese oldest old

Depressive symptoms have a significant impact on the quality-of-life among the oldest old (aged ≥ 80 years) in the population. Current research on the association of blood mercury with depressive symptoms has mainly targeted the general population. However, it is unclear whether this association is present in the oldest old. We used data from the Healthy Aging and Biomarker Cohort Study carried out in 2017-2018, with 1154 participants aged ≥ 80 years eligible for analysis. Inductively coupled plasma mass spectrometry (ICP-MS) was employed to detect blood mercury (Hg) levels, while the CES-D10 depression scale was used to assess depressive symptoms. The association between blood mercury levels and depressive symptoms was investigated using log-binomial and Poisson regression models. We also used restricted cubic splines (RCS) to assess the linear or nonlinear association of blood mercury with depressive symptoms scores. The 1154 participants ranged in age from 80 to 120 years, while the geometric mean of blood mercury concentration was 1.01 μg/L. After adjustment for covariates, log-binomial and Poisson regression analyses revealed a statistically significant, positive association of blood mercury with depressive symptoms. In comparison to the first tertile, the adjusted relative risks of blood mercury and the presence of depressive symptoms in the second and third tertiles were 1.55 (1.20-1.99) and 1.45 (1.11-1.90), respectively. The RCS model showed a linear association between blood mercury level and depressive symptoms scores. In conclusion, among the oldest old, we demonstrated that blood mercury levels were positively associated with depressive symptoms. Further surveys, especially cohort studies and clinical trials are needed to confirm these results.

Towards standardization of measuring anxiety and depression: Differential item functioning for language and Dutch reference values of PROMIS item banks

Introduction

The outcomes anxiety and depression are measured frequently by healthcare providers to assess the impact of a disease, but with numerous instruments. PROMIS item banks provide an opportunity for standardized measurement. Cross-cultural validity of measures and the availability of reference values are prerequisites for standardized measurement.

Methods

PROMIS Anxiety and Depression item banks were completed by 1002 representative Dutch persons. To evaluate cross-cultural validity, data from US participants in PROMIS wave 1 were used and differential item functioning (DIF) was investigated, using an iterative hybrid of logistic regression and item response theory. McFadden’s pseudo R²-change of 2% was the critical threshold. The impact of any DIF on full item banks and short forms was investigated. To obtain Dutch reference values, T-scores for anxiety and depression were calculated for the complete Dutch sample, and age-group and gender subpopulations. Thresholds corresponding to normal limits, mild, moderate and severe symptoms were computed.

Results

In both item banks, two items had DIF but with minimal impact on population level T-scores for full item banks and short forms. The Dutch general population had a T-score of 49.9 for anxiety and 49.6 for depression, similar to the T-scores of 50.0 of the US general population. T-scores for age-group and gender subpopulations were also similar to T-scores of the US general population. Thresholds for mild, moderate and severe anxiety and depression were set to 55, 60 and 70, identical to US thresholds.

Conclusions

The limited number of items with DIF and its minimal impact, enables the use of standard (US) item parameters and comparisons of scores between Dutch and US populations. The Dutch reference values provide an important tool for healthcare professionals and researchers to evaluate and interpret symptoms of anxiety and depression, stimulating the uptake of PROMIS measures, and contributing to standardized outcome measurement.

Perceived Barriers and Preliminary PTSD Outcomes in an Open Pilot Trial of Written Exposure Therapy With Latinx Immigrants

Latinx immigrants experience substantial disparities in mental health treatment access, particularly for posttraumatic stress disorder (PTSD). The availability of brief, flexible interventions in Spanish may assist in reducing these disparities. Written Exposure Therapy (WET) is a five-session PTSD intervention that appears as effective as longer, gold-standard interventions, but has yet to be tested among Latinx immigrants. To test the acceptability and preliminary effectiveness of WET, 20 Spanish-speaking, Latinx immigrants conducted structured interviews at pretreatment, were offered WET, and completed posttreatment structured interviews. Open thematic coding of pre- and posttreatment interview questions examined perceived barriers and benefits of WET. Quantitative components examined symptom change across PTSD (PCL-IV-C) and depression (PHQ-9). Quantitative results indicated clinically meaningful and statistically significant change in PTSD symptoms using intent-to-treat analyses (M_diff = 17.06, SD_diff = 9.97, range = 0-29, t(15) = 6.84, p < .001). Open thematic coding identified four barrier-related themes and three benefit-related themes at pretreatment. At posttreatment, three barrier-related themes and two benefit-related themes were identified. Qualitative results largely suggested that perceived barriers were common to other PTSD interventions (e.g., exposure components). Only one participant identified barriers specific to WET. Results suggested WET may reduce PTSD symptoms among Latinx immigrants. WET also appeared to be acceptable and primarily viewed as beneficial among this population. WET is a promising intervention with Latinx immigrants and warrants further testing larger trials, including testing implementation strategies that may improve access to care.

Impact of insurance type on patient-reported outcome measures in patients with lumbar disc herniation

BACKGROUND

Lumbar disc herniations (LDH) are among the most common spinal conditions. Despite increased appreciation for the importance of social determinants of health, the role that these factors play in patients with lumbar disc herniations is poorly defined.

PURPOSE

To elucidate the association between insurance status and baseline patient reported outcome measures (PROMs) in the setting of lumbar disc herniations.

STUDY DESIGN/SETTING

Retrospective cohort study PATIENT SAMPLE: Baseline patient-reported outcome measures (PROMS) were reviewed from 924 adult patients presenting for treatment of lumbar disc herniation within our institutional healthcare system (2015-2020).

OUTCOME MEASURES

The Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function Short Form 10a (PF10a), PROMIS Global-Mental, PROMIS Global-Physical, and visual analogue scale (VAS) for back and leg pain were assessed.

METHODS

PROMIS scores at presentation were defined at the primary outcome and insurance status as the primary predictor. Differences in clinical and sociodemographic characteristics between our cohorts, stratified by insurance status, were evaluated using Wilcoxon rank-sum or chi-squared testing. We used multivariable negative binomial regression modeling to adjust for potential confounders including age, gender, race, language, ethnicity, comorbidity index, and median geospatial household income.

RESULTS

We included 924 patients, with mean age of 58.4 +/- 15.2 years and 52.6% male prevalence. Patients insured through Medicaid were more likely to be Black, Hispanic, and non-English speaking patients compared with the commercially insured. The Charlson Comorbidity index was significantly higher in the Medicare group. Following adjusted analysis, patients with Medicaid insurance had significantly worse PF10a (IRR, 0.90, 95% CI 0.85-0.96), as well as PROMIS Global-Physical score (IRR 0.88, 95% CI 0.82-0.94), and VAS low back pain (IRR 1.20, 95% CI 1.04-1.40) when compared to the commercially insured.

CONCLUSIONS

We encountered worse physical function, mental, and pain-related patient-reported outcomes for those with Medicaid insurance in a population of patients presenting for evaluation of lumbar disc herniation. These findings, including worse depression, anxiety, and higher axial back pain scores, merit further investigation into potential health system asymmetries, and should be accounted for by treating providers.

Insurance types are correlated with baseline patient-reported outcome measures in patients with adult spinal deformity

BACKGROUND

Patient-reported outcome measures (PROMs) are increasingly recognized as a key component of healthcare value, allowing comparison of therapeutic impact across different specialties. Prior literature suggests that insurance type may be associated with differing baseline PROMs among patients with degenerative conditions, including lumbar stenosis and hip arthritis. This association, however, has not been investigated for adult spinal deformity (ASD).

METHODS

Baseline PROMs were reviewed from 207 patients with ASD presenting for treatment between 2015 and 2019. The Patient-Reported Outcomes Measurement Information System (PROMIS) Physical Function Short Form 10a (PF10a), PROMIS Global-Mental, PROMIS Global-Physical, and visual analogue scale (VAS) for back and leg pain were assessed. Negative binomial regression was used to determine the impact of sociodemographic factors, including insurance type, on severity of symptoms and degree of disability at baseline.

RESULTS

Mean age of the study population was 62.2 +/- 15 years, with 61.8 % male prevalence. The Medicaid population had a greater proportion of Hispanic and non-English speaking patients, compared to commercially insured patients. Medicaid insured patients had significantly greater VAS low back pain scores compared with commercially insured individuals (IRR 1.535, 95 % CI 1.122-2.101, p = 0.007).

CONCLUSIONS

Medicaid insured patients demonstrated worse baseline PROMs at presentation with ASD, as compared to commercially insured or Medicare patients. Stakeholders across spine care delivery should elucidate the etiology of baseline disparities in ASD patients, as they may result from health system asymmetries. In an ecosystem moving toward value-driven treatment algorithms, accounting for and addressing these differences will be necessary to provide equitable care for ASD populations.

Predicting Acute Changes in Depressive Symptoms Following Lumbar Decompression

BACKGROUND

While depressive symptoms improve for most patients following minimally invasive lumbar decompression (MIS LD), for some, symptoms may worsen. This study aimed to investigate predictors of change in depressive symptoms in the short-term postoperative period following MIS LD.

METHODS

We retrospectively analyzed a prospective surgical database for patients undergoing primary MIS LD procedures from 2016 to 2020. Preoperative pain (visual analog scale back and leg) scores were recorded, and the 9-Item Patient Health Questionnaire (PHQ-9) was administered at the preoperative and postoperative (6 weeks, 12 weeks, 6 months, and 1 year) timepoints. Patients were grouped into 1 of 3 categories of depression severity based on preoperative PHQ-9 scores: minimal (0-4), mild (5-9), and moderate to severe (10-27). Postoperative change in depressive symptoms was calculated by determining differences from baseline scores to scores at 6 weeks, 12 weeks, and 6 months. Analysis of demographics, perioperative characteristics, and spinal pathologies was conducted using χ ² test. Significant factors contributing to postoperative changes in depression were analyzed using multiple linear regression analysis. Significance was set at P = 0.05.

RESULTS

The 216 patients included had a mean age of 48 years, and a majority were men (70.4%). Most patients had a preoperative diagnosis of spinal stenosis (90.3%) or herniated nucleus pulposus (69.9%). Univariate analysis identified age, ethnicity, insurance, and diabetes as significant variables among depression severity groups. Patients demonstrated significant improvements in depressive symptoms at all postoperative timepoints (P < 0.001). Multivariate analysis identified several significant predictors of postoperative change in PHQ-9, which included moderate to severe preoperative depression for all postoperative timepoints (all P ≤ 0.038), mild preoperative depression for 6 weeks and 12 weeks (both P ≤ 0.029), and private insurance (P = 0.002) and smoking status (P = 0.047) at 12 weeks.

CONCLUSION

Depression improved at all postoperative timepoints following LD. Insurance type, smoking status, and preoperative depression severity were all identified as significant predictors of postoperative changes in depressive symptoms.

CLINICAL RELEVANCE

This study explores predictors of changes in depressive symptoms following LD.

LEVEL OF EVIDENCE: 3

Do Attitudes, Mental Health Status, and Interpersonal Factors Predict COVID-19 Vaccine Hesitancy at the Early Phase of the Pandemic? A Longitudinal Study in Chinese College Students

Purpose

The present study examined whether and how attitudes toward the COVID-19 vaccine (i.e., safety, efficacy, and price), mental health statuses (i.e., perceived stress and depression), and interpersonal factors (i.e., online social support, perceived social support) would predict COVID-19 vaccine hesitancy.

Patients and methods

The two-wave longitudinal surveys were conducted in December 2019 and 2020 in Chinese medical college students (N = 194). Well- validated measures were used, including the Perceived Stress Scale, the Center for Epidemiologic Studies Depression Scale, the Online Social Support Questionnaire, and the Perceived Social Support Scale. Perceived safety, efficacy, price of COVID-19 vaccine, vaccine hesitancy, and actual intake were also measured.

Results

Only 2.1% of participants had been vaccinated against COVID-19 in the early stages of the pandemic; 13.4% intended to get vaccinated in the next 3 months, and 66% intended to have it in the next 12 months upon follow-up. Multiple regression analyses revealed that perceived stress (βm = -0.15, p < 0.05) and depression (βm = -0.15, p < 0.05) were risk factors for positive attitudes toward the COVID-19 vaccine; online social support (ORm = 1.41, p < 0.01) and positive attitudes toward the COVID-19 vaccine (ORm = 1.83, p < 0.01) were protective factors of intention to get vaccinated in future.

Conclusion

Findings suggest that intervention efforts should be made to reduce negative attitudes toward the COVID-19 vaccine among people with poor mental health and enhance online social support to promote COVID-19 vaccination.

The bidirectional effects of obsessive-compulsive symptoms and difficulties in emotion regulation in Chinese adults during the COVID-19 pandemic-a dynamic structural equation model

Background

With the accumulation of negative emotions brought by COVID-19-related dysfunctional beliefs, individuals adopted obsessive–compulsive (OC) symptoms (e.g., over-checking the wearing of masks) and formed difficulties in emotion regulation (DER). This study focused on the temporal dynamics of the bidirectional relation between OC symptoms and DER, which had a devastating effect on the individual's mental health. As an extension, we further explored whether OC and DER and their relationship affect sleep problems.

Methods

In February 2020, a 14-day (twice a day, of 28 measurement intervals) online questionnaire survey was conducted on 122 Chinese adults (aged 18–55 years; 63 females). Subsequently, this research applied a dynamic structural equation model with a cross-lagged relationship and a time series. Health anxiety, anxiety, and depression were controlled as covariates.

Results

Both OC symptoms and DER had a significant autoregressive and cross-lagged effect. Comparatively speaking, DER was a stronger predictor of OC symptoms than OC’s prediction of DER. Moreover, both higher levels of OC symptoms and DER were related to the severity of sleep problems.

Conclusions

More guidance on intervening in OC symptoms and identifying emotion regulation should be added to reduce the negative impact of the COVID-19 pandemic on public mental health.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40359-022-00841-5.

Fear of Palliative Care: Roles of Age and Depression Severity

Background: Palliative care is underutilized due in part to fear and misunderstanding, and depression might explain variation in fear of palliative care. Objective: Informed by the socioemotional selectivity theory, we hypothesized that older adults with cancer would be less depressed than younger adults, and subsequently less fearful of utilizing palliative care. Setting/Subjects: Patients predominately located in the United States with heterogeneous cancer diagnoses (n = 1095) completed the Patient-Reported Outcomes Information System (PROMIS) Depression scale and rated their fear of palliative care using the Palliative Care Attitudes Scale (PCAS). We examined the hypothesized intercorrelations, followed by a bootstrapped analysis of indirect effects in the PROCESS macro for SPSS. Results: Participants ranged from 26 to 93 years old (mean [M] = 60.40, standard deviation = 11.45). The most common diagnoses were prostate (34.1%), breast (23.3%), colorectal (17.5%), skin (15.3%), and lung (13.5%) cancer. As hypothesized, older participants had lower depression severity (r = -0.20, p < 0.001) and were less fearful of palliative care (r = -0.11, p < 0.001). Participants who were more depressed were more fearful of palliative care (r = 0.21, p < 0.001). An indirect effect (β = -0.04, standard error = .01, 95% confidence interval: -0.06 to -0.02) suggested that depression severity may account for up to 40% of age-associated differences in fear of palliative care. Conclusions: Findings indicate that older adults with cancer are more likely to favor palliative care, with depression symptom severity accounting for age-related differences. Targeted interventions among younger patients with depressive symptoms may be helpful to reduce fear and misunderstanding and increase utilization of palliative care.

Relationships Between Job Stress, Psychological Adaptation and Internet Gaming Disorder Among Migrant Factory Workers in China: The Mediation Role of Negative Affective States

Factory workers make up a large proportion of China's internal migrants and may be highly susceptible to job and adaptation stress, negative affective states (e.g., depression and anxiety), and Internet gaming disorder (IGD). This cross-sectional study investigated the relationships between job stress, psychological adaptation, negative affective states and IGD among 1,805 factory workers recruited by stratified multi-stage sampling between October and December 2019. Structural equation modeling (SEM) was conducted to test the proposed mediation model. Among the participants, 67.3% were male and 71.7% were aged 35 years old or below. The prevalence of probable depression, probable anxiety, and IGD was 39.3, 28.7, and 7.5%. Being male, younger age, and shorter duration of living in Shenzhen were associated with higher IGD scores. Job stress was significantly associated with IGD (β = 0.11, p = 0.01) but not with negative affective states (β = 0.01, p = 0.77). Psychological adaptation was significantly associated with negative affective states (β = -0.37, p < 0.001) but not with IGD (β = 0.09, p > 0.05). Negative affective states were positively associated with IGD (β = 0.27, p < 0.001). The indirect effect of psychological adaptation (β = -0.10, p = 0.004) but not job stress (β = 0.003, p = 0.77) on IGD through negative affective states was statistically significant. The observed psychological correlates and mechanisms are modifiable, and can inform the design of evidence-based prevention programs for depression, anxiety, and IGD in this population.

Bidirectional associations of vision loss, hearing loss, and dual sensory loss with depressive symptoms among the middle-aged and older adults in China

BACKGROUND

Most studies on the relationship between sensory loss and depression focus on the unidirectional association between sensory loss and the risk of depression based on cross-sectional designs. The present study aimed to explore the bidirectional longitudinal associations of vison loss (VL), ¹ hearing loss (HL), ² and dual sensory loss (DSL)³ with depressive symptoms among Chinese population.

METHODS

A longitudinal study was conducted among 13,690 participants aged 45 years and older over four years. VL, HL, and DSL were identified through self-reporting, and depressive symptoms were assessed using a 10-item Center for Epidemiologic Studies Depression Scale. Multivariable Cox proportional hazards regression models were constructed to estimate the bidirectional associations of VL, HL, and DSL with depressive symptoms.

RESULTS

Participants with self-reported VL (HR: 1.14, 95%CI: 1.04-1.24), HL (HR: 1.22, 95%CI: 1.07-1.37), and DSL (HR: 1.27, 95%CI: 1.08-1.49) were associated with higher risk of developing depressive symptoms, compared with those without VL, HL, and DSL, respectively. In comparison with those without depressive symptoms, participants with depressive symptoms in the baseline had higher risk of developing VL (HR: 1.43, 95%CI: 1.33-1.54), HL (HR: 1.49, 95%CI: 1.36-1.63), and DSL (HR: 1.76, 95%CI: 1.59-1.95).

LIMITATIONS

Sensory loss was defined only based on participants' self-report.

CONCLUSIONS

Significant bidirectional associations exist between self-reported VL, HL, or DSL and depressive symptoms. The mental health of people with VL and HL should be focused on, and regular assessments of vision and hearing in people with depressive symptoms are recommended.

Deferred depression? Mediation analysis of Deferred Action for Childhood Arrivals and immigration enforcement among Undocumented Asian and Pacific Islander students

OBJECTIVES

Undocumented Asians and Pacific Islanders (UndocuAPI) comprise 25% of undocumented students. Yet few studies have examined UndocuAPI mental health in the context of the contradictory political environment which encompasses both inclusionary policies, such as Deferred Action for Childhood Arrivals (DACA), and exclusionary policies, like immigration enforcement.

METHODS

Using cross-sectional survey data collected in 2019 from UndocuAPI college students and recent alumni in California (n = 174), we used multiple logistic regression to estimate the effect of DACA status on clinical levels of depressive symptoms. We tested whether immigration enforcement experiences mediated this relationship using the Karlson, Holm, and Breen (KHB) method.

RESULTS

Adjusted logistic regression results revealed that UndocuAPI with DACA had significantly lower odds of depression (OR = 0.32, 95% CI: 0.13-0.79). Out of five immigration enforcement factors, limited contact with friends and family (OR = 2.36, 95% CI: 1.08, 5.13) and fearing deportation most or all of the time (OR = 3.62, 95% CI: 1.15, 11.34) were associated with significantly higher odds of depression. However, we did not detect a statistically significant mediation effect of immigration enforcement using KHB decomposition.

CONCLUSION

Findings suggest that the benefits of DACA protected UndocuAPI in California from depressive symptoms, even when accounting for immigration enforcement experiences. Because it was unclear whether immigration enforcement mediates DACA, future research should investigate the underlying mechanisms between immigration policies and mental health with larger samples. Practitioners should consider the short-term need for mental health support and legal services for UndocuAPI students as well as the long-term goal to decriminalize immigrant communities to advance racial health equity.

Gamified Web-Delivered Attentional Bias Modification Training for Adults With Chronic Pain: Protocol for a Randomized, Double-blind, Placebo-Controlled Trial

Background

To date, research has found variable success in using attentional bias modification training (ABMT) procedures in pain samples. Several factors could contribute to these mixed findings, including boredom and low motivation. Indeed, training paradigms are repetitive, which can lead to disengagement and high dropout rates. A potential approach to overcoming some of these barriers is to attempt to increase motivation and engagement through gamification (ie, the use of game elements) of this procedure. To date, research has yet to explore the gamified format of ABMT for chronic pain and its potential for the transfer of benefits.

Objective

The aim of this study is to investigate the effects of a gamified web-delivered ABMT intervention in a sample of adults with chronic pain via a randomized, double-blind, placebo-controlled trial.

Methods

A total of 120 adults with chronic musculoskeletal pain, recruited from clinical (hospital outpatient waiting list) and nonclinical (wider community) settings, will be included in this randomized, double-blind, placebo-controlled, 3-arm trial. Participants will be randomly assigned to complete 6 web-based sessions of dot-probe nongamified sham control ABMT, nongamified standard ABMT, or gamified ABMT across a period of 3 weeks. Active ABMT conditions will aim to train attention away from pain-relevant words. Participant outcomes will be assessed at pretraining, during training, immediately after training, and at the 1-month follow-up. Primary outcomes include pain intensity, pain interference, and behavioral and self-reported engagement. Secondary outcomes include attentional bias for pain, anxiety, depression, interpretation bias for pain, and perceived improvement.

Results

The ethical aspects of this research project have been approved by the human research ethics committees of the Royal Brisbane and Women’s Hospital (HREC/2020/QRBW/61743) and Queensland University of Technology (2000000395). Study recruitment commenced in August 2021 and is ongoing. Data collection and analysis are expected to be concluded by October 2022 and January 2023, respectively.

Conclusions

This trial will be the first to evaluate the effects of gamification techniques in a pain ABMT intervention. The findings will provide important information on the potential therapeutic benefits of gamified pain ABMT programs, shed light on the motivational influences of certain game elements in the context of pain, and advance our understanding of chronic pain.

Trial Registration

Australian New Zealand Clinical Trials Registry ACTRN12620000803998; https://anzctr.org.au/ACTRN12620000803998.aspx

International Registered Report Identifier (IRRID)

PRR1-10.2196/32359

Relationships Between Childhood Health Experience and Depression Among Older People: Evidence From China

The assessment of childhood health experience helps to identify the risk of depression among older people. Poor childhood experience is generally associated with depression in adulthood. However, whether such association can be extended to older people' life remains unclear. The history of parental mental health was obtained from 2014 CHARLS Wave 3 (Life History Survey) data while other data from 2011 CHARLS Wave 1 baseline data. The study involves 4,306 respondents. The depression was assessed by the Chinese version of Center for Epidemiologic Studies Depression scales (CES-D) using logistic regression model. More than 40% of older people suffered from depression, 25% of whom experienced poor childhood self-reported health. Nearly 20% of their mothers and more than 10% of their fathers had a history of poor mental health. Poor childhood health experiences have shown to be associated with higher odds of depression (good self-reported health OR: 0.732, p = 0.000, 95% CI: 0.633-0.847; poor mother's mental health OR: 1.391, p = 0.001, 95% CI: 1.138-1.699; poor father's mental health OR: 1.457, p = 0.003, 95% CI: 1.141-1.862). There is a high rate of depression among the older adults in China. In China, older people with poor childhood health experiences are more likely to suffer from depression.

Psychological profiles in adults with knee OA-related pain: a replication study

Introduction

Psychological factors have been associated with knee osteoarthritis pain severity and treatment outcomes, yet their combined contribution to phenotypic heterogeneity is poorly understood. In particular, empirically derived psychological profiles must be replicated before they can be targeted or considered for treatment studies. The objectives of this study were to (1) confirm previously identified psychological profiles using unsupervised clustering methods in persons with knee osteoarthritis pain, (2) determine the replicability of profiles using supervised machine learning in a different sample, and (3) examine associations with clinical pain, brain structure, and experimental pain.

Methods

Participants included two cohorts of individuals with knee osteoarthritis pain recruited as part of the multisite UPLOAD1 (n = 270, mean age = 56.8 ± 7.6, male = 37%) and UPLOAD2 (n = 164, mean age = 57.73 ± 7.8, male = 36%) studies. Similar psychological constructs (e.g. optimism, coping, somatization, affect, depression, and anxiety), sociodemographic and clinical characteristics, and somatosensory function were assessed across samples. UPLOAD2 participants also completed brain magnetic resonance imaging. Unsupervised hierarchical clustering analysis was first conducted in UPLOAD1 data to derive clusters, followed by supervised linear discriminative analysis to predict group membership in UPLOAD2 data. Associations among cluster membership and clinical variables were assessed, controlling for age, sex, education, ethnicity/race, study site, and number of pain sites.

Results

Four distinct profiles emerged in UPLOAD1 and were replicated in UPLOAD2. Identified psychological profiles were associated with psychological variables (ps < 0.001), and clinical outcomes (ps = 0.001-0.03), indicating good internal and external validation of the cluster solution. Significant associations between psychological profiles and somatosensory function and brain structure were also found.

Conclusions

This study highlights the importance of considering the biopsychosocial model in knee osteoarthritis pain assessment and treatment.

A Wilcoxon-Mann-Whitney Test for Latent Variables

We propose an extension of the Wilcoxon–Mann–Whitney test to compare two groups when the outcome variable is latent. We empirically demonstrate that the test can have superior power properties relative to tests based on Structural Equation Modeling for a variety of settings. In addition, several other advantages of the Wilcoxon–Mann–Whitney test are retained such as robustness to outliers and good small sample performance. We demonstrate the proposed methodology on a case study.

Longitudinal Effects of Stressful Life Events on Problematic Smartphone Use and the Mediating Roles of Mental Health Problems in Chinese Undergraduate Students

Background and Aims: This three-wave longitudinal study investigated the effects of stressful life events on problematic smartphone use and the mediating roles of mental health problems (i.e., depressive symptoms, poor sleep quality, and suicidal ideation) in Chinese undergraduate students. Methods: A total of 197 undergraduate students completed the three-wave surveys. Their severity of stressful life events, mental health problems, and problematic smartphone use were assessed. Results: Regression analyses revealed that stressful life events at T1 was significantly associated with problematic smartphone use at T3. Mediation analyses showed that mental health problems (i.e., depressive symptoms, poor sleep quality, and suicidal ideation) at T2 fully mediated the association between stressful life events at T1 and problematic smartphone use at T3 (B = 0.042, 0.034, and 0.022, respectively). Conclusions: The present study revealed that stressful life events and mental health problems (i.e., depressive symptoms, poor sleep quality, and suicidal ideation) are predictors of problematic smartphone use in Chinese college students.

A multidimensional approach to sleep health in multiple sclerosis

BACKGROUND

Although sleep disturbances are common among people with Multiple Sclerosis (PwMS), understanding of their impact has been stymied by limitations in approaches to sleep measurement within this population. The aim of this study was to comprehensively phenotype sleep patterns in PwMS through application of an emerging seven-domain framework that includes sleep duration, continuity, timing, quality, rhythmicity, regularity, and sleepiness.

METHODS

Sleep domains were estimated from wrist-worn accelerometry, Epworth Sleepiness Scale and Pittsburgh Sleep Quality Index responses. Extreme sleep values within each domain were constructed using previously published guidelines. A composite score of extreme values was calculated for each participant. Associations between sleep domains and severity of MS symptoms were explored (pain, fatigue, depressive symptoms, and cognitive dysfunction).

RESULTS

Among n = 49 participants, median total sleep time was 456.3 min. Median time spent awake after sleep onset was 37 min. Sleepiness, abnormal sleep timing, and poor sleep quality affected 33%, 35%, and 45% of participants, respectively. Seventy-six percent had ≥2 sleep domains in extreme ranges. PwMS had longer sleep duration and decreased sleep regularity compared to a non-MS historical cohort of older men. Greater daytime sleepiness, poorer sleep quality, and higher composite sleep health score were associated with more depressive symptoms, and lower sleep rhythmicity was associated with higher fatigue. Associations were observed between measures of cognitive function and sleep fragmentation, duration, quality, rhythmicity, and composite score.

CONCLUSION

Application of a seven-domain sleep health framework that captures the dynamic and multifaceted aspects of sleep is feasible in PwMS, and offers potential for an improved understanding of the scope and impact of sleep disturbances in PwMS.

How I see is how I feel. Identification of illness perception schema and its association with adaptation outcomes in multiple sclerosis - a 5-year prospective study

The aim of the study was to assess the role of illness perception in adaptation to chronic disease among patients with relapsing-remitting multiple sclerosis (RRMS). The differences between the obtained configurations of the illness perception components during four measurements and the model of predictions of the values of adaptation indicators, i.e. depression, anxiety and quality of life during subsequent measurements, were analyzed. Illness representation was assessed at baseline via the Illness Representation Questionnaire–Revised. The adaptation indicators–anxiety, depression (measured by HADS) and quality of life (measured by MSIS-29) were measured at baseline and three more times over a five-year period. The k-means cluster analysis (with two-way and repeated measures ANOVA) was conducted in a group of 90 patients (48.89% women and 51.11% men). Subsequently, the mean values of depression, anxiety, physical and psychological quality of life were compared between the clusters using the Kruskall-Wallis test. Finally, a cross-lagged panel modeled for HADS and MSIS-29 subscales in each measurement occasion (T1-T4). Three different illness perception clusters (Anxious, Realistic and Fatalistic Illness Perception named AIP, RIP and FIP) were composed which differentiated the depression, anxiety, quality of life level and age. FIP showed the lowest adaptation outcomes with small differences between AIP and RIP. It was also significantly characterized by the highest age. The positive adaptation indicators were related to the RIP cluster. The model presented rather satisfactory fit (χ²(48) = 81.05; CFI = .968; TLI = .925; SRMR = .050) with slightly inflated RMSEA = .087 (90%CI .053-.120). Based on initial measurements of individual characteristics, it was possible to predict the functioning of patients after several years. For patients with AIP, the covariance of anxiety and depression was significant, for patients with RIP–depression and anxiety, and for patients with FIP–depression. In addition, each of the variables was a predictor of subsequent measurements in particular time intervals, illustrating the dynamics of changes. Results highlight that illness perceptions formed at the beginning of RRMS are important for the process of adaptation to the disease. Moreover, they showed the differences between the adaptation outcomes supporting the idea that a cognitive representation might be important for the level of psychological functioning.

Depression, anxiety, and fear of COVID-19 in patients with multiple sclerosis in pandemic era: a cross-sectional study

Background

Depression and anxiety are the two important factors determining quality of life of patients with multiple sclerosis (PWMS). In COVID-19 pandemic era, several factors can provoke mental issues of people and patients. In this cross-sectional study, we aim to estimate the new prevalence of anxious and depressive symptoms and their relating factors in PWMS.

Methods

In this cross-sectional study, we include PWMS who are recruited in the MS clinic of Sina Hospital, Tehran, and are joined in our channel of Telegram media. A self-designed online questionnaire consisted of 4 parts handed out between patients: demographic and clinical data, Beck depression inventory, Beck anxiety inventory, and Fear of COVID-19 Scale. Univariate and multiple logistic regression analyses were performed to find the relating factors of expression of depressive and anxious symptoms in PWMS.

Results

Of a total of 282 participants with the mean age of 35.66 (30.75–40) years, had been suffering from multiple sclerosis for 7.36 (3–10) years, 81.7% were women and 69.1% classified as relapsing–remitting MS. Mean score of BDI was 17.13 ± 11.51 which is classified as minimal-moderate depressive symptoms. 48.6% of patients did not express depressive symptoms (BDI-II ≤ 14) and the others reported some degrees of depression. In the univariate analysis employment (p = 0.015), marital status (p = 0.022), level of education (p = 0.004), number of hospitalization due to MS attacks (p = 0.048), and fear of COVID-19 (p ≤ 0.0001) associated significantly with presence of depressive symptoms. After entering these factors in a binary logistic regression model, level of education (p = 0.019), marital status (p = 0.044), number of hospital admissions due to MS relapses (β = 1.10, p = 0.02), and fear of COVID-19 (β = 1.07, p ≤ 0001) remained significant as relating factors. Mean score of the anxiety calculated 14.54 ± 9.75 and just 3.2% of patients had severe anxiety. Employment (p = 0.045), EDSS score (p = 0.004), and fear of COVID-19 (p ≤ 0.0001) reported relating to anxious symptoms significantly in the univariate analysis. After entering in the logistic regression analysis, EDSS (β = 1.30, p = 0.001) and fear of COVID-19 (β = 1.13, p ≤ 0.0001) remained as significant relating factors of anxious symptoms.

Conclusion

The overall prevalence of depressive symptoms in PWMS in our MS clinic is 51.4% which is obviously higher than other world’s centers which could be due to fear of COVID-19. In addition to fear of COVID-19, presence of depressive symptoms in PWMS is related significantly with level of education, number of hospital admissions due to MS relapses, and marital status. Other side, the patients classified as suffering from anxious symptoms had more severe problems on fear of COVID-19. But it is recommended for future studies to compare patients score in the COVID-19 era with their score before this pandemic.

RCT of a Telehealth Group-Based Intervention to Increase Physical Activity in Multiple Sclerosis: eFIT

Objective

To conduct a pilot randomized controlled trial to determine whether participation in a group-based structured telehealth intervention increases physical activity in people with multiple sclerosis (MS).

Methods

In this parallel-arms trial, all study procedures were administered remotely. Adults diagnosed with MS (any subtype) were randomized to one of two 12-week (1 h/wk) active conditions: eFIT, online moderated structured groups; or eJournal, online independent journaling. For comparison, a treatment-as-usual (TAU; i.e., no eFIT/eJournal) group was enrolled. The primary outcome was feasibility (completion and adherence). The secondary efficacy outcomes included self-reported physical activity level (International Physical Activity Questionnaire, IPAQ).

Results

Participants were 37 adults with MS. The sample was diverse: 66.7% female; age range 23-64 years; 17.5% Hispanic, 12.5% Black; and progressive and relapsing-remitting disease subtypes. Regarding feasibility, 70.7% completed; average adherence was 74.9%. Physical activity in active groups increased by 34.2% (baseline IPAQ = 2,406.8 ± 1,959.7, follow-up = 3,229.4 ± 2,575.2) and decreased in the TAU group by 17.4% (baseline = 2,519.9 ± 1,500.1, follow-up = 2,081.2 ± 1,814.9); group × time interaction was not statistically significant [F(2,25) = 1.467, p = 0.250; partial η² = 0.105].

Conclusions

Telehealth represents an accessible, acceptable vehicle to deliver targeted behavioral treatments to a neurologic population. eFIT may be an effective intervention for increasing physical activity, a historically intractable treatment target, in individuals with MS. In addition, these results provide evidence for feasibility of conducting fully remote clinical trial research.

Classification of Evidence

This study provides Class II evidence that for people with MS, participation in a group-based structured telehealth intervention compared with TAU resulted in a (non-significant) increase in self-reported physical activity level. The percentage of participants who completed follow-up questionnaires did not differ between groups. The trial was registered at ClinicalTrials.gov (NCT03829267).

RCT of a Telehealth Group-Based Intervention to Increase Physical Activity in Multiple Sclerosis: eFIT

Objective

To conduct a pilot randomized controlled trial to determine whether participation in a group-based structured telehealth intervention increases physical activity in people with multiple sclerosis (MS).

Methods

In this parallel-arms trial, all study procedures were administered remotely. Adults diagnosed with MS (any subtype) were randomized to one of two 12-week (1 h/wk) active conditions: eFIT, online moderated structured groups; or eJournal, online independent journaling. For comparison, a treatment-as-usual (TAU; i.e., no eFIT/eJournal) group was enrolled. The primary outcome was feasibility (completion and adherence). The secondary efficacy outcomes included self-reported physical activity level (International Physical Activity Questionnaire, IPAQ).

Results

Participants were 37 adults with MS. The sample was diverse: 66.7% female; age range 23-64 years; 17.5% Hispanic, 12.5% Black; and progressive and relapsing-remitting disease subtypes. Regarding feasibility, 70.7% completed; average adherence was 74.9%. Physical activity in active groups increased by 34.2% (baseline IPAQ = 2,406.8 ± 1,959.7, follow-up = 3,229.4 ± 2,575.2) and decreased in the TAU group by 17.4% (baseline = 2,519.9 ± 1,500.1, follow-up = 2,081.2 ± 1,814.9); group × time interaction was not statistically significant [F(2,25) = 1.467, p = 0.250; partial η² = 0.105].

Conclusions

Telehealth represents an accessible, acceptable vehicle to deliver targeted behavioral treatments to a neurologic population. eFIT may be an effective intervention for increasing physical activity, a historically intractable treatment target, in individuals with MS. In addition, these results provide evidence for feasibility of conducting fully remote clinical trial research.

Classification of Evidence

This study provides Class II evidence that for people with MS, participation in a group-based structured telehealth intervention compared with TAU resulted in a (non-significant) increase in self-reported physical activity level. The percentage of participants who completed follow-up questionnaires did not differ between groups. The trial was registered at ClinicalTrials.gov (NCT03829267).

Higher-quality diet and non-consumption of meat are associated with less self-determined disability progression in people with multiple sclerosis: A longitudinal cohort study

Background and purpose

Modifiable lifestyle factors, including diet, may affect clinical outcomes in multiple sclerosis (MS). This study assessed the relationships between diet, and disability, fatigue, and depression risk in people with MS.

Methods

Participants from the Health Outcomes and Lifestyle In a Sample of people with Multiple sclerosis (HOLISM) international cohort were assessed over 2.5 years. Dietary data were obtained using a modified Diet Habits Questionnaire (DHQ), disability using the calculated Patient‐determined MS Severity Score (P‐MSSS), fatigue using the Fatigue Severity Scale, and depression risk using the Patient Health Questionnaire‐2. Participants reported whether they were experiencing symptoms due to a recent relapse. Cross‐sectional and prospective relationships of diet and disease outcomes were explored, adjusted for relevant confounders.

Results

Among 1,346 participants, higher DHQ scores showed significant dose‐dependent associations with lower frequencies of severe disability, fatigue, and depression risk, cross‐sectionally. Prospectively, higher baseline DHQ scores were associated with a lower risk of increasing disability, those above the median having 41% and 36% lower risk of increasing disability, and 0.30 P‐MSSS points less disability progression, but were not associated with fatigue or depression risk. Meat consumption was associated with 0.22 P‐MSSS points higher disability cross‐sectionally, while prospectively, baseline meat consumption was associated with 76% higher risk of increasing disability and 0.18 P‐MSSS points higher disability progression. Dairy consumption showed mixed associations cross‐sectionally and prospectively.

Conclusions

These results show that better quality of diet, as well as not consuming meat, were associated with reduced disability progression in people with MS. Substantiation of these findings in other settings may inform opportunities to manage disability progression in people with MS using dietary modifications.

OXTR moderates adverse childhood experiences on depressive symptoms among incarcerated males

OBJECTIVES

This study examined the moderation of an oxytocin receptor (OXTR) gene in the link between childhood adversity and depressive symptoms among incarcerated males.

METHODS

Questionnaires about adverse childhood experiences and depressive symptoms, as well as genomic DNA from blood were collected among 608 incarcerated males (M_age = 32.4 years, SD = 9.41, 18-74 years). Moderation analysis was applied to examine the interaction between adverse childhood experiences (including abuse, neglect, and household dysfunction) and the OXTR polymorphisms (rs2254298, rs53576) in predicting depressive symptoms.

RESULTS

Incarcerated males had relatively higher prevalence of childhood adversity (70.2%) and depressive symptoms (49.8%). Higher childhood adversity was associated with increased depressive symptoms, and the effect was more pronounced in the GG homozygotes of OXTR rs2254298 (b = 0.406, p < .001), as compared with the AA/AG carriers (b = 0.236, p < .001). By contrast, the OXTR rs53576 did not interact with childhood adversity in predicting depressive symptoms.

CONCLUSIONS

Chinese incarcerated males with the GG genotype of OXTR rs2254298 have higher vulnerability in the effect of childhood adversity on depressive symptoms.

Depression, chronic obstructive pulmonary disease, and healthcare utilization: Results from the Korean Longitudinal Study of Aging (KLoSA)

BACKGROUND

Depression is a common comorbidity among people with chronic obstructive pulmonary disease (COPD), but the health effects of depression in this group of patients remain poorly understood. The purpose of the present study was to investigate the association between COPD and depression, and the effects of comorbid COPD and depression on health care utilization.

METHODS

Our study sample included 10,180 Korean adults (4,437 men and 5,743 women; all aged ≥ 45 years) who participated in the cross-sectional Korean Longitudinal Study of Aging (KLoSA). The participants were required to self-report any previous diagnosis of COPD. Depression was assessed with the 10-item Center for Epidemiologic Studies Depression Scale (CES-D10). Health care utilization was defined as multiple physician visits (≥6) and multiple hospital admissions (≥2) in the previous year.

RESULTS

Participants with COPD had a higher prevalence of depression than those without COPD (16.8% vs. 38.1%, respectively; P < 0.001). After adjustment for covariates, participants with COPD had a significantly higher likelihood of multiple physician visits (odds ratio [OR], 95% confidence interval [CI], 1.80 [1.26-2.58]) and multiple hospital admissions (OR [95% CI], 1.62 [1.04-3.51]), while those with COPD plus depression had a higher likelihood of multiple hospital admissions (OR [95% CI], 2.71 [2.34-5.48]).

CONCLUSIONS

We found a positive association between COPD and depression. Depression in patients with COPD is associated with an increased likelihood of multiple hospital admissions.

The Effect of Depression on Health-Related Quality of Life Is Mediated by Fatigue in Persons with Multiple Sclerosis

The interrelations between fatigue, depression and health-related quality of life (HRQoL) in persons with multiple sclerosis (PwMS) are complex, and the directionality of the effects is unclear. To address this gap, the current study used a longitudinal design to assess direct and indirect effects of fatigue and depression on HRQoL in a one-year follow-up survey. A sample of 210 PwMS from the nationwide Swiss MS Registry was used. HRQoL was assessed using the European Quality of Life 5-Dimension 5-Level questionnaire. Path analysis on HRQoL, with fatigue and depression as predictors, was applied. Fatigue was measured by the Modified Fatigue Impact Scale (MFIS), including physical, cognitive and psychosocial subscales, and non-somatic depressive symptomatology was examined with the Beck Depression Inventory-Fast Screen (BDI-FS). Fatigue acted as a fully mediating variable (B = -0.718, SE = 0.253) between non-somatic depressive symptomatology and HRQoL. This indirect effect became apparent in the physical (B = -0.624, SE = 0.250), psychosocial (B = -0.538, SE = 0.256) and cognitive subscales (B = -0.485, SE = 0.192) of fatigue. In contrast, non-somatic depressive symptomatology did not act as a mediator. Our findings provide novel and clinically relevant longitudinal evidence showing that the debilitating effect of non-somatic aspects of depression on HRQoL was fully mediated and therefore explainable via fatigue.

The Differential Effects of Social Media on Depressive Symptoms and Suicidal Ideation Among the Younger and Older Adult Population in Hong Kong During the COVID-19 Pandemic: Population-Based Cross-sectional Survey Study

BACKGROUND

Social media has become a ubiquitous part of daily life during the COVID-19 pandemic isolation. However, the role of social media use in depression and suicidal ideation of the general public remains unclear. Related empirical studies were limited and reported inconsistent findings. Little is known about the potential underlying mechanisms that may illustrate the relationship between social media use and depression and suicidal ideation during the COVID-19 pandemic.

OBJECTIVE

This study tested the mediation effects of social loneliness and posttraumatic stress disorder (PTSD) symptoms on the relationship between social media use and depressive symptoms and suicidal ideation, as well as the moderation effect of age on the mediation models.

METHODS

We administered a population-based random telephone survey in May and June 2020, when infection control measures were being vigorously implemented in Hong Kong. A total of 1070 adults (658 social media users and 412 nonusers) completed the survey. Structural equation modeling (SEM) and multigroup SEM were conducted to test the mediation and moderation effects.

RESULTS

The weighted prevalence of probable depression was 11.6%; 1.6% had suicidal ideation in the past 2 weeks. Both moderated mediation models of depressive symptoms (χ²₆₂=335.3; P<.05; comparative fit index [CFI]=0.94; nonnormed fit index [NNFI]=0.92; root mean square error of approximation [RMSEA]=0.06) and suicidal ideation (χ²₃₄=50.8; P<.05; CFI=0.99; NNFI=0.99; RMSEA=0.02) showed acceptable model fit. There was a significantly negative direct effect of social media use on depressive symptoms among older people (β=-.07; P=.04) but not among younger people (β=.04; P=.55). The indirect effect via PTSD symptoms was significantly positive among both younger people (β=.09; P=.02) and older people (β=.10; P=.01). The indirect effect via social loneliness was significant among older people (β=-.01; P=.04) but not among younger people (β=.01; P=.31). The direct effect of social media use on suicidal ideation was not statistically significant in either age group (P>.05). The indirect effects via PTSD symptoms were statistically significant among younger people (β=.02; P=.04) and older people (β=.03; P=.01). Social loneliness was not a significant mediator between social media use and suicidal ideation among either age group (P>.05).

CONCLUSIONS

Social media may be a "double-edged sword" for psychosocial well-being during the COVID-19 pandemic, and its roles vary across age groups. The mediators identified in this study can be addressed by psychological interventions to prevent severe mental health problems during and after the COVID-19 pandemic.