The relationship between asthma and depression in a community-based sample

Immune Dysregulation, Inflammation in Characterizing Women with Vulvodynia, Depression, and Both

Background: Depression and vulvodynia are often comorbid. The onset of depression and vulvodynia may be immune and/or stress/environmentally induced. We explored whether vulvodynia, depression, or both occur in response to a Th1-mediated versus Th2-mediated immune response. Materials and Methods: We analyzed data from a case-control study of clinically confirmed vulvodynia and history of depression determined through structured clinical interviews. Immune dysregulation and inflammation were categorized based on the following self-reported conditions: rheumatoid arthritis, Sjogren's disease, scleroderma, systemic lupus erythematosus, inflammatory bowel disease, fibromyalgia, osteoarthritis, polycystic ovarian syndrome, diabetes mellitus, uterine fibroids, asthma, atopic dermatitis, and allergic rhinitis. Logistic regression analyses were adjusted for marital status, body mass index, age, and pack years. Results: Women with systemic immune dysregulation had higher odds of depression (adjusted odds ratio [aOR] = 1.61, confidence interval [95% CI]: 0.65-3.98), vulvodynia (aOR = 2.45, 95% CI: 1.00-5.96), and comorbid depression and vulvodynia (aOR = 4.93, 95% CI: 2.19-11.10) versus neither condition. Women reporting local immune dysregulation had similar odds of depression (aOR = 1.89, 95% CI: 0.99-3.59), vulvodynia (aOR = 2.12, 95% CI: 1.08-4.18), and comorbid depression and vulvodynia (aOR = 1.96, 95% CI: 0.98-3.90). Women with Th2 inflammation had similar odds of depression (aOR = 2.23, 95% CI: 1.05-4.77) and vulvodynia (aOR = 2.56, 95% CI: 1.20-5.49). Women with Th1 or Th2 inflammation had similar odds of comorbid depression and vulvodynia (aOR = 3.03, 95% CI: 1.48-6.19; aOR = 3.14, 95% CI: 1.49-6.60, respectively). Conclusions: Our results suggest that an imbalance of cytokines, indicated by the presence of one or more immune-related health conditions, is associated with an increased risk of vulvodynia and/or depression.

A machine learning model to predict the risk of depression in US adults with obstructive sleep apnea hypopnea syndrome: a cross-sectional study

Objective

Depression is very common and harmful in patients with obstructive sleep apnea hypopnea syndrome (OSAHS). It is necessary to screen OSAHS patients for depression early. However, there are no validated tools to assess the likelihood of depression in patients with OSAHS. This study used data from the National Health and Nutrition Examination Survey (NHANES) database and machine learning (ML) methods to construct a risk prediction model for depression, aiming to predict the probability of depression in the OSAHS population. Relevant features were analyzed and a nomogram was drawn to visually predict and easily estimate the risk of depression according to the best performing model.

Study design

This is a cross-sectional study.

Methods

Data from three cycles (2005-2006, 2007-2008, and 2015-2016) were selected from the NHANES database, and 16 influencing factors were screened and included. Three prediction models were established by the logistic regression algorithm, least absolute shrinkage and selection operator (LASSO) algorithm, and random forest algorithm, respectively. The receiver operating characteristic (ROC) area under the curve (AUC), specificity, sensitivity, and decision curve analysis (DCA) were used to assess evaluate and compare the different ML models.

Results

The logistic regression model had lower sensitivity than the lasso model, while the specificity and AUC area were higher than the random forest and lasso models. Moreover, when the threshold probability range was 0.19-0.25 and 0.45-0.82, the net benefit of the logistic regression model was the largest. The logistic regression model clarified the factors contributing to depression, including gender, general health condition, body mass index (BMI), smoking, OSAHS severity, age, education level, ratio of family income to poverty (PIR), and asthma.

Conclusion

This study developed three machine learning (ML) models (logistic regression model, lasso model, and random forest model) using the NHANES database to predict depression and identify influencing factors among OSAHS patients. Among them, the logistic regression model was superior to the lasso and random forest models in overall prediction performance. By drawing the nomogram and applying it to the sleep testing center or sleep clinic, sleep technicians and medical staff can quickly and easily identify whether OSAHS patients have depression to carry out the necessary referral and psychological treatment.

Association between dimensions of trauma-related psychopathology and asthma in trauma-exposed women

Introduction

Exposure to traumatic events and stressful life experiences are associated with a wide range of adverse mental and physical health outcomes. Studies have found post-traumatic stress disorder (PTSD), depression, and anxiety sensitivity occurrence to be common in addition to inflammatory diseases like asthma, especially in women. Moreover, overlapping neurobiological mechanisms have been linked to both PTSD and asthma.

Methods

In the current study, n = 508 women reported on presence of lifetime asthma diagnosis and symptoms of trauma-related psychopathology including PTSD and depression. A separate group of female participants (n = 64) reported on asthma, PTSD, depression and anxiety sensitivity, and underwent functional MRI scans during a fearful faces task, and their anterior insula responses were analyzed.

Results

Overall, PTSD and depression severity were significantly higher in those with asthma versus those without asthma. There was a positive association between anterior insula response to social threat cues and depression symptoms only among individuals without a lifetime presence of asthma.

Discussion

These findings provide continued evidence on the interactions between stress, neural mechanisms involved in interoception and salience detection, and trauma-related psychopathology.

Perinatal depression before and during the COVID-19 pandemic in New York City

BACKGROUND

Quarantining and isolation during previous pandemics have been associated with higher levels of depression symptomatology. Studies in other countries found elevated rates of anxiety and/or depression among pregnant people during the COVID-19 pandemic compared with prepandemic rates. New York City was the initial epicenter of the pandemic in the United States, and the effects of the pandemic on perinatal depression in this population are not well known.

OBJECTIVE

This study aimed to evaluate the rates of perinatal depression before and during the COVID-19 pandemic.

STUDY DESIGN

This is a single-center retrospective cohort study of patients screened for perinatal depression with the Edinburgh Postnatal Depression Scale at 2 private academic practices in New York City. This screen is done in these practices at the time of the glucose challenge test and at the postpartum visit. Patients aged ≥18 years who completed a screen at a postpartum visit and/or glucose challenge test from February 1, 2019 to July 31, 2019 and from February 1, 2020 to July 31, 2020 were identified, and the 2019 and 2020 groups were compared. The primary outcome was a positive screen, defined as ≥13 and ≥15 for postnatal and prenatal screens, respectively. Secondary outcomes included monthly changes in rates of positive screens and factors associated with perinatal depression. Data were analyzed using Mann-Whitney U test, chi-square, or Fisher exact test, and univariate and multivariate analyses with P<.05 defined as significant.

RESULTS

A total of 1366 records met the inclusion criteria; 75% of the prepandemic (2019) records were included, as opposed to 65% of pandemic (2020) records due to a lower screen completion rate in the pandemic cohort. The 2020 cohort had a higher proportion of Hispanic patients (P=.003) and higher rates of diabetes mellitus (P=.007), preterm labor (P=.03), and current or former drug use (P<.001). The 2019 cohort had higher rates of hypertension (P=.002) and breastfeeding (P=.03); 4.6% of the 2020 cohort had a suspected or confirmed COVID-19 infection. There was no difference in perinatal depression between the 2019 and 2020 cohorts (2.8% vs 2.6%; P>.99). This finding persisted after adjusting for baseline differences (adjusted odds ratio, 0.89; 95% confidence interval, 0.38-1.86; P=.76). There were no differences in rates of positive Edinburgh Postnatal Depression Scale by month. Several risk factors were associated with a positive screen, including being unmarried (P<.001), pulmonary disease (P=.02), depression (P<.001), anxiety (P=.01), bipolar disorder (P=.009), and use of anxiolytics (P=.04).

CONCLUSION

There were no differences in the rates of perinatal depression between the periods before and during the COVID-19 pandemic. The rate of perinatal depression in this cohort was below the reported averages in the literature. Fewer women were screened for perinatal depression in 2020, which likely underestimated the prevalence of depression in our cohort. These findings highlight potential gaps in care in a pandemic setting.

High genetic risk for depression as an independent risk factor for mortality in patients referred for coronary angiography

Background

Different observations have suggested that patients with depression have a higher risk for a number of comorbidities and mortality. The underlying causes have not been fully understood yet.

Aims

The aim of our study was to investigate the association of a genetic depression risk score (GDRS) with mortality [all-cause and cardiovascular (CV)] and markers of depression (including intake of antidepressants and a history of depression) in the Ludwigshafen Risk and Cardiovascular Health (LURIC) study involving 3,316 patients who had been referred for coronary angiography.

Methods and results

The GDRS was calculated in 3,061 LURIC participants according to a previously published method and was found to be associated with all-cause (p = 0.016) and CV mortality (p = 0.0023). In Cox regression models adjusted for age, sex, body mass index, LDL-cholesterol, HDL-cholesterol, triglycerides, hypertension, smoking, and diabetes mellitus, the GDRS remained significantly associated with all-cause [1.18 (1.04-1.34, p = 0.013)] and CV [1.31 (1.11-1.55, p = 0.001)] mortality. The GDRS was not associated with the intake of antidepressants or a history of depression. However, this cohort of CV patients had not specifically been assessed for depression, leading to marked underreporting. We were unable to identify any specific biomarkers correlated with the GDRS in LURIC participants.

Conclusion

A genetic predisposition for depression estimated by a GDRS was independently associated with all-cause and CV mortality in our cohort of patients who had been referred for coronary angiography. No biomarker correlating with the GDRS could be identified.

Anxiety and depression in women with asthma prior to fertility treatment

Objective

We investigate symptoms of anxiety and depression among women with asthma prior to fertility treatment.

Methods

This is a cross-sectional study of women screened for eligibility to the PRO-ART study (RCT of omalizumab versus placebo in asthmatic women undergoing fertility treatment (NCT03727971)). All participants were scheduled for in vitro fertilization (IVF) treatment at four public fertility clinics in Denmark. Data on demographics and asthma control (ACQ-5) were obtained. Symptoms of anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS-A and D, respectively) and defined as being present on both subscales if a score >7 was obtained. Spirometry, diagnostic asthma test, and measurement of fractional exhaled nitric oxide (FeNO) were conducted.

Results

A total of 109 women with asthma were included (mean age 31.8 ± 4.6 and BMI 25.5 ± 4.6). Most women had male factor infertility (36.4%) or unexplained infertility (35.5%). Twenty-two percent of the patients reported uncontrolled asthma (ACQ-5 score > 1.5). The mean HADS-A and HADS-D scores were 6.0 ± 3.8 (95% CI 5.3-6.7) and 2.5 ± 2.2 (95% CI 2.1-3.0), respectively. Thirty (28.0%) women reported anxiety symptoms, and four (3.7%) had concomitant depressive symptoms. Uncontrolled asthma was significantly associated with both depressive (p = 0.04) and anxiety symptoms (p = 0.03).

Conclusions

More than 25% of women with asthma prior to fertility treatment had self-reported symptoms of anxiety, and just below 5% had self-reported depressive symptoms, possibly related to uncontrolled asthma.

Symptoms of anxiety and depression in patients with persistent asthma: a cross-sectional analysis of the INSPIRERS studies

OBJECTIVES

Anxiety and depression are relevant comorbidities in asthma, but, in Portugal and Spain, data on this topic are scarce. We assessed, in patients with asthma, the frequency of anxiety and depression using the Hospital Anxiety and Depression Scale (HADS) and the European Quality of Life Five Dimension Questionnaire (EQ-5D); the level of agreement between these questionnaires, and the factors associated with these symptoms.

METHODS

This is a secondary analysis of the INSPIRERS studies. A total of 614 adolescents and adults with persistent asthma (32.6±16.9 years, 64.7% female) were recruited from 30 primary care centres and 32 allergy, pulmonology and paediatric clinics. Demographic and clinical characteristics, HADS and EQ-5D were collected. A score ≥8 on Hospital Anxiety and Depression Scale-Anxiety/Hospital Anxiety and Depression Scale-Depression or a positive answer to EQ-5D item 5 indicated the presence of these symptoms. Agreement was determined by Cohen's kappa. Two multivariable logistic regressions were built.

RESULTS

According to HADS, 36% of the participants had symptoms of anxiety and 12% of depression. According to EQ-5D, 36% of the participants had anxiety/depression. The agreement between questionnaires in identifying anxiety/depression was moderate (k=0.55, 95% CI 0.48 to 0.62). Late asthma diagnosis, comorbidities and female gender were predictors of anxiety/depression, while better asthma control, health-related quality of life and perception of health were associated with lower odds for anxiety/depression.

CONCLUSION

At least 1/3 of the patients with persistent asthma experience symptoms of anxiety/depression, showing the relevance of screening these disorders in patients with asthma. EQ-5D and HADS questionnaires showed a moderate agreement in the identification of anxiety/depression symptoms. The identified associated factors need to be further investigated in long-term studies.

Mortality among Canadian population with multimorbidity: A retrospective cohort study

Objective

The aim of this study was to examine the effect of multimorbidity and the joint effect of chronic diseases on all-cause mortality among subjects aged 35 years and above.

Study Design

Population-based retrospective cohort study.

Methods

Multimorbidity was defined by the respondent's self-report of having two or more chronic diseases of the nine considered. The Canadian Community Health Surveys conducted in 2003/2004, 2005/2006 and 2007 to 2014 were linked with the Canadian Vital Statistics Death Database to examine the association between multimorbidity and all-cause mortality in subjects aged 35 years and above. Cox's proportional hazards models were used to estimate risk of multimorbidity on death after adjusting for the confounders in three age groups.

Results

Multimorbidity had an increased risk of death in all three age groups with the youngest having the highest risk after adjusting for potential confounders (35 to 54 years: hazard ratio (HR) = 3.77, 95% CI: 3.04, 4.67; 55 to 64 years: HR = 2.64, 95% CI: 2.36, 2.95; 65 years and above: HR = 1.71; 95% CI:1.63,1.80). Subjects with cancer had the highest risk of death in the three age groups. When the interactions between chronic diseases were considered, subjects with COPD and diabetes had a significantly increased risk of death in comparison to those without COPD or diabetes in the 55 to 64 years. (HR = 2.59, 95% CI: 2.01, 3.34).

Conclusions

Prevention of multimorbidity should be targeted not only in the older population but also in the younger populations. Synergistic effects of chronic diseases should be considered in the management of multimorbidities.

Diagnostic Evaluation of Depression Screening Tools in Asian New Zealanders

This study aimed to compare the Kessler Psychological Distress Scale (K10) and Short-Form 12-Item Health Survey Mental Component Score (SF-12 MCS) for the effectiveness as screening tools for depression in Asian New Zealanders. A national, representative New Zealand Health Survey (NZHS) data set was used. In total, 1,277 participants were included in the analyses. The sensitivity and specificity values, as well as the areas under the receiver operating characteristics curves (AUROC), for the K10 and the SF-12 MCS scores were examined. The AUROCs for K10 and SF-12 MCS were 0.787 (95% CI [0.736, 0.837]) and 0.725 (95% CI [0.656, 0.793]), respectively. A less than optimal sensitivity and positive predictive value of K10 support the need to reexamine the optimal cut-off point according to the results of the Youden index. Strengthening the K10 predictive accuracy will increase the practical application among Asian populations.

Association Between Asthma and Migraine: A Systematic Review and Meta-Analysis of Observational Studies

Objectives: The purpose of this study was to determine the association between asthma and migraine and assess the risk for migraine in patients with asthma.

Methods: We systematically searched the Cochrane Library, PubMed, Medical Literature Analysis and Retrieval System Online (MEDLINE), and Excerpta Medica dataBASE (EMBASE) databases from inception to September 26, 2021, for indexed observational studies that examined either the odds or risk of migraine in subjects with asthma. The qualities of the included studies were evaluated using the Newcastle–Ottawa Scale. A random-effects meta-analysis was performed to calculate the odds ratio for case-control and cross-sectional studies and the risk ratio for cohort studies.

Results: Seven observational studies (four cross-sectional and three cohort studies) with a total of 549,534 study subjects were included in this systematic review and meta-analysis and selected for data extraction. Four articles were considered to be of moderate quality; other studies were considered to be of high quality. Asthma was associated with increased odds (OR, 1.85; 95%CI, 1.39–2.45) and risk of migraine (RR, 1.70; 95%CI, 1.52–1.90).

Conclusions: The available evidence that supports the existence of an association between asthma and migraine is limited. Clinicians should be aware that patients with asthma show both increased prevalence and incidence of migraine. Further studies are warranted to further clarify the relationship between asthma and migraine.

Systematic Review Registration:https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=185881, identifier: CRD42020185881.

Vascular Endothelial Growth Factor as a Putative Biomarker of Depression in Asthmatics with Reversible Airway Narrowing

The vascular endothelial growth factor (VEGF) plays a pivotal role in process of angiogenesis in adults. If angiogenesis is not properly controlled, its deregulation may implicate it in various psychosomatic diseases states. The aim of our study was to reveal possible correlation between severity of depression in asthmatics with different degrees of airway narrowing and serum vascular endothelial growth factor levels. The study population included a total of 122 adult subjects: 82 patients with asthma (among them 42 patients with irreversible bronchoconstriction and 40 patients with reversible bronchoconstriction) and 40 healthy participants as a control group. The standardized Beck Depression Inventory (BDI) was used to estimate the depression symptoms. Enzyme-linked immunosorbent assay (ELISA) was used to assess the VEGF serum concentration in all participants. There was a significant difference in depression symptoms in asthmatics with reversible (p = 0.0432) and irreversible airway obstruction (p = 0.00005) in comparison to control group and between these two subgroups of asthmatics (p = 0.0233). Obtained results revealed significant correlation between level of depression and mean VEGF serum concentration in asthmatics with reversible airway obstruction (p = 0.0202). There was no difference between enhanced depression symptoms and VEGF serum concentration in patients with irreversible airway obstruction nor in the total group of asthmatics (in both p > 0.05). The relationship between asthma severity and depression symptoms seems to be certain. VEGF might be considered as a putative biomarker of depression in asthmatics, mainly those with reversible airway narrowing.

Effectiveness of benralizumab in severe eosinophilic asthma: Distinct sub-phenotypes of response identified by cluster analysis

BACKGROUND

Benralizumab is effective in severe eosinophilic asthma (SEA), but suboptimal responses are observed in some patients. Although several factors have been associated with benralizumab response, no cluster analysis has yet been undertaken to identify different responsiveness sub-phenotypes.

OBJECTIVE

To identify SEA sub-phenotypes with differential responsiveness to benralizumab.

METHODS

One hundred and five patients diagnosed with SEA who had completed 6 months of benralizumab treatment were included in a hierarchical cluster analysis based on a set of clinical variables that can be easily collected in routine practice (age, age at disease onset, disease length, allergen sensitization status, blood eosinophil count, IgE levels, FEV₁ % predicted, nasal polyposis, bronchiectasis).

RESULTS

Four clusters were identified: Clusters 2 and 3 included patients with high levels of both IgE and eosinophils (type-2 biomarkers high), whereas Clusters 1 and 4 included patients with only one type-2 biomarker at a high level: IgE in Cluster 1 and eosinophils in Cluster 4. Clusters 2 and 3 (both type-2 biomarkers high) showed the highest response rate to benralizumab in terms of elimination of exacerbations (79% and 80% respectively) compared to Clusters 1 and 4 (52% and 60% respectively). When super-response (the absence of exacerbation without oral corticosteroid use) was assessed, Cluster 2, including patients with more preserved lung function than the other clusters, but comparable exacerbation rate, oral corticosteroid use and symptom severity, was the most responsive cluster (87.5% of patients).

CONCLUSIONS

Our cluster analysis identified benralizumab differential response sub-phenotypes in SEA, with the potential of improving disease treatment and precision management.

Co-Occurring Depression and Associated Healthcare Utilization and Expenditure in Individuals with Respiratory Condition: A Population-Based Study

The existing literature is limited on the prevalence of depression among people with respiratory conditions and person-level factors that are associated with increased healthcare utilization and expenditures. The aim of this study was to explore the prevalence, pattern of healthcare use, and expenditures in noninstitutionalized individuals having co-occurring depression with respiratory conditions. The Medical Expenditure Panel Survey (MEPS) data from 2011 to 2017 was used in this study. Our sample included individuals having respiratory conditions (asthma, emphysema, and chronic bronchitis) with and without depression. Healthcare use and expenditure data were analyzed using a chi-square test, t-tests, and multiple linear regression analyses. There were 8848 individuals in the study. The prevalence of comorbid depression was 20%. Individuals with co-occurring depression with respiratory conditions differed significantly from individuals without co-occurring depression for age ≥ 45 years, white, and with ≤2 chronic disease conditions. Depressed individuals with respiratory conditions had higher healthcare utilization and expenditures. The presence of co-occurring depression with respiratory conditions increases the treatment complexity, healthcare utilization, and expenditure. Better treatment and management of these patients may reduce healthcare use and expenditures in the future.

Depressive Symptoms and Overperception of Airflow Obstruction in Older Adults With Asthma

OBJECTIVE

Older adults are at increased risk for depression and poor asthma outcomes. We examined whether depressive symptoms are associated with overperception of airflow obstruction and a pattern of worse asthma control, but not pulmonary function.

METHODS

We recruited a cohort of adults with asthma 60 years and older in East Harlem and the Bronx, New York. Baseline measures included the Geriatric Depression Scale, Asthma Control Questionnaire, and Mini Asthma Quality of Life Questionnaire. Spirometry was conducted at baseline to assess pulmonary function. Perception of airflow obstruction was assessed for 6 weeks following baseline by participants entering estimates of peak expiratory flow (PEF) into a programmable peak flow meter followed by PEF blows. Participants were blinded to actual PEF values. The percentage of time that participants were in the overperception zone was calculated as an average.

RESULTS

Among the 334 participants (51% Hispanic, 25% Black), depressive symptoms were associated with overperception of airflow obstruction (β = 0.14, p = .029), worse self-reported asthma control (β = 0.17, p = .003), and lower asthma-related quality of life (β = -0.33, p < .001), but not with lung function (β = -0.01, p = .82). Overperception was also associated with worse self-reported asthma control (β = 0.14, p = .021), but not lung function (β = -0.05, p = .41).

CONCLUSIONS

Depressive symptoms were associated with greater perceived impairment from asthma, but not pulmonary function. Overperception of asthma symptoms may play a key role in the relationship between depression and asthma outcomes in older adults.

Depression Levels Influence the Rate of Asthma Exacerbations in Females

Background: Anxiety and depression are common psychological disturbances among asthmatic patients. The aim of the present study is the assessment of anxiety and depression in asthmatic patients and their correlation with symptoms control level and number of exacerbations per year. Methods: One hundred patients with asthma diagnosis, according to the Global Initiative for Asthma (GINA), aged > 18 years old, having a stable disease, were included. Emotional status was evaluated using the Hospital Anxiety Depression Scale (HADS). Patients were followed up for a year to assess the number and severity of exacerbations. Results: Most of our patients were female (58%), middle-aged (mean = 54 ± 13), and married (81%), with low frequency of smoking habits (smokers, ex-smokers and non-smokers were 26%, 30% and 37%, respectively) and low levels of both anxiety and depression [median (interquartile range (IQR)) = 4(2) and median (IQR) = 4(2), respectively]. At the low and moderate level of the depression subscale, female patients experienced asthma exacerbations more frequently compared to male patients (adjusted Incidence Rate Ratio (aIRR) = 4.30; 95% Confidence Interval (CI): 1.94–9.53 and aIRR = 1.82; 95% CI: 1.07–3.13, respectively). Conclusions. Clinicians should evaluate asthma patients for depression, as gender differentially influences outcomes among those with low and moderate levels of depression, with female asthmatics presenting more frequent exacerbations.

The relationship between asthma diagnosis and E-Cigarette use among youth and young adults: the mediation effects of anxiety, depression, and impulsivity and the moderation effects of substance use

INTRODUCTION

Youth and young adults with asthma use electronic cigarettes (e-cigarettes) at a higher rate than those without asthma. However, the factors that influence e-cigarette use in this vulnerable population are scarce. Therefore, the study aim was to assess the effects of anxiety, depression, impulsivity, and substance use in the relationship between e-cigarette use and youth and young adults with asthma status.

METHOD

We enrolled youth and young adults (15-25 years old) in Alabama with a clinical diagnosis of asthma (n = 151) or without a diagnosis of any chronic pulmonary disease (n = 132; reference group). Validated questionnaires were administered to collect demographic data and assess susceptibility to e-cigarette use, current use of e-cigarettes, anxiety, depression, impulsivity, and substance use (alcohol and cannabis). We then conducted parallel mediation analyses to test the mediational effects of anxiety, depression, and impulsivity, and moderation analyses to assess the moderation effects of substance use in the relationship between asthma and e-cigarette use.

RESULTS

Susceptibility to e-cigarette use and current use of e-cigarettes were both lower among youth and young adults with asthma. After controlling for covariates, anxiety, depression, and impulsivity were not significant mediators of the relationships between asthma and susceptibility to e-cigarette use and current use of e-cigarettes. However, the frequency of cannabis use in the past 30 days moderated the relationship between asthma and susceptibility to e-cigarette use (Unstandardized beta = - 2.03, p = 0.046), such that more frequent cannabis use was associated with less susceptibility.

CONCLUSION

Among youth and young adults with asthma, cannabis use was associated with reduced susceptibility to e-cigarette use. Longitudinal assessments of this population are needed to better assess the temporal relationship between asthma, comorbid substance use, and e-cigarette use among young people with asthma to avoid pulmonary complications.

Disease trajectories and mortality among individuals diagnosed with depression: a community-based cohort study in UK Biobank

Patients with depression are at increased risk for a range of comorbid diseases, with, however, unclear explanations. In this large community-based cohort study of the UK Biobank, 24,130 patients diagnosed with depression were compared to 120,366 matched individuals without such a diagnosis. Follow-up was conducted from 6 months after the index date until death or the end of 2019, for the occurrence of 470 medical conditions and 16 specific causes of death. The median age at the time of the depression diagnosis was 62.0 years, and most of the patients were female (63.63%). During a median follow-up of 4.94 years, 129 medical conditions were found to be significantly associated with a prior diagnosis of depression, based on adjusted Cox regression models. Using disease trajectory network analysis to visualize the magnitude of disease-disease associations and the temporal order of the associated medical conditions, we identified three main affected disease clusters after depression (i.e., cardiometabolic diseases, chronic inflammatory diseases, and diseases related to tobacco abuse), which were further linked to a wider range of other conditions. In addition, we also identified three depression-mortality trajectories leading to death due to cardiovascular disease, respiratory system disease and malignant neoplasm. In conclusion, an inpatient diagnosis of depression in later life is associated with three distinct network-based clusters of medical conditions, indicating alterations in the cardiometabolic system, chronic status of inflammation, and tobacco abuse as key pathways to a wide range of other conditions downstream. If replicated, these pathways may constitute promising targets for the health promotion among depression patients.

Evaluation of changing trend in depression, suicidal ideation, and suicide attempts among adolescents with asthma and identification of associated factors: 11-year national data analysis in 788,411 participants

OBJECTIVES

We identified associated factors for depression and suicidality in adolescents with asthma.

METHODS

We obtained data from the annual Korea Youth Risk Behavior Web-based Surveys, completed from 2007 to 2017, as a stratified, multistage, clustered sample. Using self-reported questionnaires, students provided yes-or-no answers to questions addressing doctor-diagnosed asthma and self-experienced depression and suicidality. Associated factors for depression and suicidality were tested by logistic regression models after controlling for potential confounding factors. A total of 788,411 adolescents completed the survey.

RESULTS

The prevalence of asthma was similar every year during the survey with 8.9% overall rate. Among them, the prevalence of depression (45.8-29.9%), suicidal ideation (28.6-15.5%), and suicide attempts (9.3-3.9%) decreased. Participants with asthma perceived themselves as unhealthier and unhappier, had more stress, sleep dissatisfaction, depression, suicidal ideation and suicide attempts than did subjects without asthma. In the multivariate model, perception of stress was most strongly associated with depression (adjusted Odds ratio: 4.78, 95% confidence intervals; 4.17-5.06) and suicide attempts (2.51; 1.67-2.93), whereas, perceived unhappiness was most strongly associated with suicidal ideation (4.81; 3.87-5.46) among adolescents with asthma. Asthma itself was also associated with depression, suicidal ideation and suicide attempts (1.12; 1.09-1.22, 1.18; 1.07-1.24, and 1.15; 1.04-1.19, respectively).

CONCLUSION

Although the prevalence of asthma was similar every year, the prevalence of depression and suicidality among adolescents with asthma decreased. Nevertheless, clinical physicians should pay more attention to screen for depression and suicidality among adolescents with asthma, especially having associated factors.

Residential green space and medication sales for childhood asthma: A longitudinal ecological study in Belgium

BACKGROUND

Living in green environments has been associated with various health benefits, but the evidence for positive effects on respiratory health in children is ambiguous.

OBJECTIVE

To investigate if residential exposure to different types of green space is associated with childhood asthma prevalence in Belgium.

METHODS

Asthma prevalence was estimated from sales data of reimbursed medication for obstructive airway disease (OAD) prescribed to children between 2010 and 2014, aggregated at census tract level (n = 1872) by sex and age group (6-12 and 13-18 years). Generalized log-linear mixed effects models with repeated measures were used to estimate effects of relative covers of forest, grassland and garden in the census tract of the residence on OAD medication sales. Models were adjusted for air pollution (PM₁₀), housing quality and administrative region.

RESULTS

Consistent associations between OAD medication sales and relative covers of grassland and garden were observed (unadjusted parameter estimates per IQR increase of relative cover, range across four strata: grassland, β = 0.15-0.17; garden, β = 0.13-0.17). The associations remained significant after adjusting for housing quality and chronic air pollution (adjusted parameter estimates per IQR increase of relative cover, range across four strata: grassland, β = 0.10-0.14; garden, β = 0.07-0.09). There was no association between OAD medication sales and forest cover.

CONCLUSIONS

Based on aggregated data, we found that living in close proximity to areas with high grass cover (grasslands, but also residential gardens) may negatively impact child respiratory health. Potential allergic and non-allergic mechanisms that underlie this association include elevated exposure to grass pollen and fungi and reduced exposure to environmental biodiversity. Reducing the dominance of grass in public and private green space might be beneficial to reduce the childhood asthma burden and may simultaneously improve the ecological value of urban green space.

Subphenotyping depression using machine learning and electronic health records

Objective

To identify depression subphenotypes from Electronic Health Records (EHRs) using machine learning methods, and analyze their characteristics with respect to patient demographics, comorbidities, and medications.

Materials and Methods

Using EHRs from the INSIGHT Clinical Research Network (CRN) database, multiple machine learning (ML) algorithms were applied to analyze 11 275 patients with depression to discern depression subphenotypes with distinct characteristics.

Results

Using the computational approaches, we derived three depression subphenotypes: Phenotype_A (n = 2791; 31.35%) included patients who were the oldest (mean (SD) age, 72.55 (14.93) years), had the most comorbidities, and took the most medications. The most common comorbidities in this cluster of patients were hyperlipidemia, hypertension, and diabetes. Phenotype_B (mean (SD) age, 68.44 (19.09) years) was the largest cluster (n = 4687; 52.65%), and included patients suffering from moderate loss of body function. Asthma, fibromyalgia, and Chronic Pain and Fatigue (CPF) were common comorbidities in this subphenotype. Phenotype_C (n = 1452; 16.31%) included patients who were younger (mean (SD) age, 63.47 (18.81) years), had the fewest comorbidities, and took fewer medications. Anxiety and tobacco use were common comorbidities in this subphenotype.

Conclusion

Computationally deriving depression subtypes can provide meaningful insights and improve understanding of depression as a heterogeneous disorder. Further investigation is needed to assess the utility of these derived phenotypes to inform clinical trial design and interpretation in routine patient care.