Patient Health Research Articles

Handgrip strength and risks of diabetic vascular complications: Evidence from Guangzhou Diabetic Eye Study and UK cohorts

PurposeThe purpose is to investigate the association between handgrip strength (HGS) and the risk of future diabetic complications in multicountry cohorts.MethodsThe association between HGS and diabetic complications was evaluated using...

Infrequent fractures and resilient bone mineral density: bone health in patients with Fanconi anemia.

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An 8-year-old child with Encephalitis Rabies due to delayed case finding, proper Post Exposure Prophylaxis for Rabies infection a case report

Background and Purpose: Until April 2023, it has been documented about 31.113 case of animal rabies-borne bite, which 23.211 cases are given Post Exposure Prophylaxis Anti Rabies Vaccine and 11 death cases in Indonesia and 95% of them are caused by dog bite. This case report was conducted to describe a rare case of an 8 years old child presenting with late complication of encephalitis in Borong General Hospital due to the delayed case finding, management and proper prophylaxis for Rabies infection. Case: One day prior to admission, an 8-year-old girl with irritability, aggressive behavior, and severe speech abnormalities reported to the emergency room. These symptoms quickly escalated to confusion and disturbed mental status. One month before to presentation, the patient's parents stated that his right arm had been bitten by a stray dog. Because there were no obvious bite marks and the family was not aware of the dog bite, PEP was not requested. In the previous five days, her parents described experiences of hydrophobia, photophobia, and aerophobia. The patient's health deteriorated two hours after admission, and palpating the carotid artery revealed that there was no pulse. Despite performing cardiopulmonary resuscitation, ROSC was not reached. Conclusion: Animal rabies control and surveillance are essential, particularly in locations where the disease is endemic. PEP is extremely effective and ought to be given as soon as possible following an exposure to reduce the high fatality rate. Keywords: aware, PEP, mortality, irritability

Assessing the causal relationship between immune cells and prostatitis: evidence from bidirectional mendelian randomization analysis.

Prostatitis represents a common disease of the male genitourinary system, significantly impacting the physical and mental health of male patients. While numerous studies have suggested a potential link between immune cell activity and prostatitis, the exact causal role of immune cells in prostatitis remains uncertain. This study aims to explore the causal relationship between immune cell characteristics and prostatitis using a bidirectional Mendelian randomization approach. This study utilizes data from the public GWAS database and employs bidirectional Mendelian randomization analysis to investigate the causal relationship between immune cells and prostatitis. The causal relationship between 731 immune cell features and prostatitis was primarily investigated through inverse variance weighting (IVW), complemented by MR-Egger regression, a simple model, the weighted median method, and a weighted model. Ultimately, the results underwent sensitivity analysis to assess the heterogeneity, horizontal pleiotropy, and stability of Single Nucleotide Polymorphisms (SNPs) in immune cells and prostatitis. MR analysis revealed 17 immune cells exhibiting significant causal effects on prostatitis. In contrast, findings from reverse MR indicated a significant causal relationship between prostatitis and 13 immune cells. Our study utilizes bidirectional Mendelian Randomization to establish causal relationships between specific immune cell phenotypes and prostatitis, highlighting the reciprocal influence between immune system behavior and the disease. Our findings suggest targeted therapeutic approaches and the importance of including diverse populations for broader validation and personalized treatment strategies.

Exploring what GP registrars consider distinctive to consultations with Aboriginal and Torres Strait Islander patients: a mixed-methods study

Background and objectiveUnderstanding what general practice (GP) registrars consider as distinctive in their consultations with Aboriginal and Torres Strait Islander patients may help bridge the gap between patient-determined cultural safety...

The Dual Burden of Emerging Adulthood: Assessing Gambling Severity, Gambling-Related Harm, and Mental Health Challenges.

Growing concerns over gambling problems across age groups have sparked research in public health and psychology. During emerging adulthood, individuals are more susceptible to mental health problems and more likely to develop gambling problems than in other age groups. This study explored the potential differences between emerging adults and adults aged 30+ in terms of problem gambling severity (PGS), gambling-related harm (GRH), depression and anxiety, and the mediating role of depression and anxiety in the association between age, PGS, and GRH. A representative online sample of 3244 Israelis aged 18 and over was divided into two groups: 740 emerging adults aged 18-29 and 2504 adults aged 30+. Gambling behaviors, the Problem Gambling Severity Index, the Short Gambling Harm Screen, and the Patient Health Questionnaire-4 assessing depression and anxiety were administered. Emerging adults had significantly higher levels of GRH, PGS, and depression-anxiety than their older counterparts, above and beyond gender and education. Depression-anxiety fully mediated the associations between age and gambling-related outcomes. These findings underscore the importance of considering psychological well-being in efforts to address problem gambling and gambling-related harms, especially in emerging adults.

Prevalence and network structure of depression, insomnia and suicidality among mental health professionals who recovered from COVID-19: a national survey in China

Psychiatric syndromes are common following recovery from Coronavirus Disease 2019 (COVID-19) infection. This study investigated the prevalence and the network structure of depression, insomnia, and suicidality among mental health professionals (MHPs) who recovered from COVID-19. Depression and insomnia were assessed with the Patient Health Questionnaire (PHQ-9) and Insomnia Severity Index questionnaire (ISI7) respectively. Suicidality items comprising suicidal ideation, suicidal plan and suicidal attempt were evaluated with binary response (no/yes) items. Network analyses with Ising model were conducted to identify the central symptoms of the network and their links to suicidality. A total of 9858 COVID-19 survivors were enrolled in a survey of MHPs. The prevalence of depression and insomnia were 47.10% (95% confidence interval (CI) = 46.09–48.06%) and 36.2% (95%CI = 35.35–37.21%), respectively, while the overall prevalence of suicidality was 7.8% (95%CI = 7.31–8.37%). The key central nodes included “Distress caused by the sleep difficulties” (ISI7) (EI = 1.34), “Interference with daytime functioning” (ISI5) (EI = 1.08), and “Sleep dissatisfaction” (ISI4) (EI = 0.74). “Fatigue” (PHQ4) (Bridge EI = 1.98), “Distress caused by sleep difficulties” (ISI7) (Bridge EI = 1.71), and “Motor Disturbances” (PHQ8) (Bridge EI = 1.67) were important bridge symptoms. The flow network indicated that the edge between the nodes of “Suicidality” (SU) and “Guilt” (PHQ6) showed the strongest connection (Edge Weight= 1.17, followed by “Suicidality” (SU) - “Sad mood” (PHQ2) (Edge Weight = 0.68)). The network analysis results suggest that insomnia symptoms play a critical role in the activation of the insomnia-depression-suicidality network model of COVID-19 survivors, while suicidality is more susceptible to the influence of depressive symptoms. These findings may have implications for developing prevention and intervention strategies for mental health conditions following recovery from COVID-19.

Association between depressive symptoms and cognitive function in the older population, and the mediating role of neurofilament light chain: Evidence from NHANES 2013–2014

ObjectiveThis study aimed to investigate the potential mediating role of the neurofilament light chain (NfL) level between depressive symptoms and cognitive function in older population. MethodsA total of 495 adults (age ≥60 years) from the National Health and Nutrition Examination Survey (NHANES) participated in this study. Cognitive function was assessed using a combination of the Animal Fluency Test (AFT), the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) and the Digit Symbol Substitution Test (DSST). Word List Learning Test. Patient Health Questionnaire-9 (PHQ-9) was used to assess depressive symptoms. Data on serum NfL(sNfL) were collected. Multiple linear regressions and mediation analysis were utilized to examine the associations. ResultsAfter adjusting for potential confounding factors, the proportions mediated by the sNfL level between depressive symptoms and cognitive function was 19.65 %. The indirect effect mediated by the sNfL level between depressive symptoms and cognitive function was significant (β[95 % CI]:-0.0089 [−0.0191, −0.0017],p = 0.040), while the direct effect in the absence of sNfL was non-significant (β[95 % CI]: −0.0365 [−0.0739 0.0008],p = 0.055). LimitationsThis is an explorative cross-sectional study with its limits in generalizability and ability to establish definitive causal associations. The results should be interpreted with caution due to the constraints imposed by the characteristics of the population with a relatively low overall level of depressive symptoms. ConclusionThe sNfL level, depressive symptoms, and cognitive decline are interconnected, and the sNfL level could mediate the relationship between depressive symptoms and cognitive decline among older adults.

Do academic advising and levels of support affect nursing students' mental health? A cross-sectional study.

The current study aimed to identify the association between social support, academic advising and mental health disorders among nursing students. Stress and workload can trigger multiple mental health disorders, especially for nursing students. Thus, academic advising and counselling help support students with academic and mental health problems. This cross-sectional study utilized online questionnaires in Egypt and Saudi Arabia. Multidimensional Scale of Perceived Social Support (MSPSS), Patient Health Questionnaire (PHQ-4) and the Student Academic Advising and Counseling Survey (SAACS) were utilized to measure social support, depression and anxiety and evaluation of academic advising and counselling services, respectively. The study included 1134 nursing students (mean age of 20.3 years). Students with higher academic advising satisfaction were 37% less likely to experience depression (OR 0.63, 95% CI 0.46-0.85) and mental disorders (OR 0.68, 95% CI 0.50-0.94). Moderate family social support was associated with lower depression (OR 0.58, 95% CI 0.37-0.93) and mental disorders (OR 0.55, 95% CI 0.33-0.92). Academic advising and social support can mitigate mental health disorders among nursing students. These findings will help nurses and post-secondary providers develop strategies to support nursing students during difficult times.

Machine learning-driven predictions and interventions for cardiovascular occlusions.

Cardiovascular diseases remain a leading cause of global morbidity and mortality, with heart attacks and strokes representing significant health challenges. The accurate, early diagnosis and management of these conditions are paramount in improving patient outcomes. The specific disease, cardiovascular occlusions, has been chosen for the study due to the significant impact it has on public health. Cardiovascular diseases are a leading cause of mortality globally, and occlusions, which are blockages in the blood vessels, are a critical factor contributing to these conditions. By focusing on cardiovascular occlusions, the study aims to leverage machine learning to improve the prediction and management of these events, potentially helping to reduce the incidence of heart attacks, strokes, and other related health issues. The use of machine learning in this context offers the promise of developing more accurate and timely interventions, thus improving patient outcomes. We analyze diverse datasets to assess the efficacy of various machine learning algorithms in predicting heart attacks and strokes, comparing their performance to pinpoint the most accurate and reliable models. Additionally, we classify individuals by their predicted risk levels and examine key features that correlate with the incidence of cardiovascular events. The PyCaret machine learning library's Classification Module was key in developing predictive models which were evaluated with stratified cross-validation for reliable performance estimates. Our findings suggest that machine learning can significantly improve the prediction accuracy for heart attacks and strokes, facilitating earlier and more precise interventions. We also discuss the integration of machine learning models into clinical practice, addressing potential challenges and the need for healthcare professionals to interpret and apply these predictions effectively. The use of machine learning for risk stratification and the identification of modifiable factors may empower preemptive approaches to cardiovascular care, ultimately aiming to reduce the occurrence of life-threatening events and improve long-term patient health trajectories.

Modifiable work stress factors and psychological health risk among nurses working within 13 countries.

Nurses are identified as having higher work stress and poor mental health risk among health care workforce globally. It remains unclear which modifiable stress factors pose the greatest risk for poor psychological health among nursing workforce and needed to inform targeted practice and policy change. To determine which occupation-related or personal stress factors precipitate higher risk for burnout, depression, anxiety, job satisfaction or intention to leave one's position among nurses globally. A cross-sectional anonymous survey was administered via email using a snowball recruitment strategy. Academic researchers and clinical industry leaders across 3 global regions collaborated to generate an email listserv of professional nursing contacts for survey distribution. The survey included valid and reliable measures to scale stress factors (Work Stress Questionnaire), and screen for burnout (single item), depression (Patient Health Questionnaire-2), anxiety (Generalized Anxiety Disorder-2), resilience (Brief Resilience Scale) and intention to leave one's job (single item). We used logistic regression, first unadjusted and then adjusted for personal and professional characteristics, to determine associations between stress factors and psychological health risk. The final sample consisted of responses from 2864 nurses working across 13 countries. Most respondents reported working as a clinical nurse in the Philippines (n = 2275), United States (n = 424) and Saudi Arabia (n = 104). One third of nursing respondents endorsed high burnout and intention to leave their job. Those reporting work conflict had significantly higher odds of burnout (odds ratio 3.18; 95% CI 2.22-4.54) and three times more likely to screen positive for depression (odds ratio 3.02; 95% CI 1.36-6.72) and anxiety (odds ratio 2.92; 95% CI 1.57-5.43). Those endorsing difficulty sleeping were 15 times more likely to screen positive for depression (odds ratio 15.63; 95% CI 2.09-117.06). Lack of social support was significantly associated to higher risk for burnout, job dissatisfaction, depression, anxiety, and intention to leave one's position. Nurses remain at risk for burnout and poor psychological health stemming from work stress. Factors such as clear workplace goals and assignments, increased engagement, good sleep health and social support may serve as protective factors against suboptimal psychological health, and in-turn poor workforce retention. Nurses reporting conflict in the workplace are three times more likely to screen positive for burnout, depression, and anxiety. Nurses reporting difficulty sleeping are 15 times more likely to screen positive for depression. Several modifiable factors can be targeted to reduce poor psychological health and high workforce turnover among nurses across countries.

Effectiveness of a Mental Health Chatbot for People With Chronic Diseases: Randomized Controlled Trial.

People with chronic diseases tend to experience more mental health issues than their peers without these health conditions. Mental health chatbots offer a potential source of mental health support for people with chronic diseases. The aim of this study was to determine whether a mental health chatbot can improve mental health in people with chronic diseases. We focused on 2 chronic diseases in particular: arthritis and diabetes. Individuals with arthritis or diabetes were recruited using various web-based methods. Participants were randomly assigned to 1 of 2 groups. Those in the treatment group used a mental health chatbot app (Wysa [Wysa Inc]) over a period of 4 weeks. Those in the control group received no intervention. Participants completed measures of depression (Patient Health Questionnaire-9), anxiety (Generalized Anxiety Disorder Scale-7), and stress (Perceived Stress Scale-10) at baseline, with follow-up testing 2 and 4 weeks later. Participants in the treatment group completed feedback questions on their experiences with the app at the final assessment point. A total of 68 participants (n=47, 69% women; mean age 42.87, SD 11.27 years) were included in the analysis. Participants were divided evenly between the treatment and control groups. Those in the treatment group reported decreases in depression (P<.001) and anxiety (P<.001) severity over the study period. No such changes were found among participants in the control group. No changes in stress were reported by participants in either group. Participants with arthritis reported higher levels of depression (P=.004) and anxiety (P=.004) severity than participants with diabetes over the course of the study, as well as higher levels of stress (P=.01); otherwise, patterns of results were similar across these health conditions. In response to the feedback questions, participants in the treatment group said that they liked many of the functions and features of the app, the general design of the app, and the user experience. They also disliked some aspects of the app, with most of these reports focusing on the chatbot's conversational abilities. The results of this study suggest that mental health chatbots can be an effective source of mental health support for people with chronic diseases such as arthritis and diabetes. Although cost-effective and accessible, these programs have limitations and may not be well suited for all individuals. ClinicalTrials.gov NCT04620668; https://www.clinicaltrials.gov/study/NCT04620668.

Prevalence and associated factors of depression among women with advanced pelvic organ prolapse in Northwest Ethiopia: cross-sectional study

BackgroundDepression is a symptom characterized by sadness, loss of interest or pleasure, feelings of guilt or low self-worth, disturbed sleep or appetite, feelings of tiredness and poor concentration. One of the most common mental illnesses in the world and a major contributor to morbidity and mortality is depression. The purpose of this study was to ascertain the prevalence of depression and the risk factors associated with it in women who had advanced pelvic organ prolapse.MethodsA facility-based cross-sectional study was conducted to determine depression among advanced pelvic organ prolapse women at Gondar University Comprehensive Specialized Hospital. All women who have advanced pelvic organ prolapse were consecutively included till it reached a total of 367 participants over four months. A structured questionnaire was used to obtain the sociodemographic characteristics, clinical characteristics and depression status of the participants. Depression measures were obtained by using the Patient Health Questionnaire tool, which is validated in the Ethiopian local language for chronic illnesses including pelvic organ prolapse using a cut point of five and above, which is considered to indicate depression. Women who screened positive were linked to a psychiatric clinic for further evaluation and treatment. Data was entered into a computer using Epi Info version 3.5.3 and then exported to STATA version 14 for analysis. Multivariable logistic regressions were fitted and odds ratios with 95% confidence intervals with a P value less than 0.05 were used to identify statistically significant factors.ResultsThe prevalence of depression was found to be 47.1% (95% CI: 43-52%). Being rural (AOR = 4.8; CI: 1.11–16.32), having a history of divorce because of pelvic organ prolapse (AOR = 5.5; CI: 1.85–16.32) and having a history of urinary symptoms (AOR = 3.1; CI: 1.12–8.59) were found to be independently associated with depression.ConclusionsThe prevalence of depression among women with advanced pelvic organ prolapse in this study is high as compared to other studies. Depression screening strategies should be designed for the early identification and treatment of depression among women with advanced pelvic organ prolapse.

THE ROLE OF IMPLANTS IN SYSTEMIC DISEASE PATIENTS- A REVIEW

Elderly patients usually have dental disease and are highly prone to systemic diseases that may require special care during dental treatment. Therefore, it is important to recognize the relationship between certain systemic diseases and dental diseases before creating a treatment plan to achieve a successful treatment result [1]Diabetes and high blood pressure are the most common endocrine diseases and cardiovascular diseases, respectively. Local or systemic disease can affect the long-term outcome of implant treatment. Therefore, it is suggested that some of these diseases are contraindications to DI treatment. [2-4] Xerostomia may affect DI treatment as a local factor. Xerostomia is caused by autoimmune diseases such as Sjogren's syndrome, systemic lupus erythematosus, and diabetes [5]The overall health of dental patients varies, and the prevalence of systemic diseases that can affect dentistry appears to be high.[6] Some systemic diseases can impede circulation and reduce oxygen pressure and nutrients. Therefore, they can be expected to influence the outcome of the osseointegration reaction. Systemic diseases can affect oral tissues, increasing their susceptibility to other diseases or preventing recovery. [7]Common systemic diseases that require special attention from the dentist when treating these patients with implants. These include cardiovascular disease, endocrine disease, kidney disease, respiratory disease, and liver diseases.

Comparison and Influence of a Multicomponent Educational Program on the Patient-Reported Outcomes of a Group of Patients With Rheumatoid Arthritis.

Rheumatoid arthritis (RA) is a chronic disease that affects different areas of the patient's body. Patient education and health literacy is essential for them to participate actively in follow-up. The aim of this study was to assess differences between clinimetric measurements done by a medical team and patient-reported outcome measures (PROMs) in RA and understand the impact of patient education strategies in order to identify differences between RA assessment methods. This is a longitudinal cohort study. It included adult patients with RA and access to digital tools. These were divided into 3 groups by type of education. Group 1 included patients who participated in a multicomponent RA educational program. Group 2 did not have this multicomponent RA education. Group 3 did not receive any education. The 3 groups performed PROMs. Disease activity scales, functional class, and quality of life were measured. Univariate and bivariate analysis (χ2 and Wilcoxon for paired data) were done. Twenty-eight patients were included in group 1, 26 in group 2, and 37 in group 3. All were women. In group 1, there were no significant differences in clinimetrics between the medical team and patient's PROMs except for fatigue. In group 2 and group 3, significant differences were found. The RAPID3 and PAS variables did not show significant differences when analyzed by intervention subgroups. This study shows no differences between clinimetrics/PROMs for patients with a high-level education on RA and physicians. On the other hand, when patient did not have any RA education, the clinimetric results differed from physician measurement.

The Cognitive Reserve May Influence Fatigue after Rehabilitation in Progressive Multiple Sclerosis: A Secondary Analysis of the RAGTIME Trial

Cognitive reserve (CR) seems to be an ability to adapt cognitive processes in response to brain disease and may influence rehabilitation outcomes. This is a secondary analysis of the “Robot-Assisted Gait Training versus conventional therapy on mobility in severely disabled progressive MultiplE sclerosis patients” (RAGTIME) trial to investigate the influence of CR on the outcomes after gait rehabilitation in people with multiple sclerosis (PwMS). We included 53 PwMS and severe gait disability (EDSS 6–7). The participants were randomized into two groups to receive either robot-assisted gait training or overground walking (three times/week over four weeks). CR was evaluated by the Cognitive Reserve Index questionnaire (CRIq), which encompasses three sections (CRI Education, CRI Working Activity, and CRI Leisure Time). We stratified the patients using the 115 cut-off CRIq total score of at least a medium-high CR. The outcome measures were Timed 25-Foot Walk, 6 min walking test, Berg Balance Scale, Multiple Sclerosis Impact Scale—29, Multiple Sclerosis Walking Scale—12, Patient Health Questionnaire—9, and Fatigue Severity Scale (FSS). After gait rehabilitation, the FSS was significantly improved in those patients with higher CR compared with the others (F = 4.757, p = 0.015). In our study, CR did not affect the gait, balance, disability perception, and depression. Conversely, it positively influenced the fatigue after gait rehabilitation.

Depression, Anxiety, Emotional Eating, and Body Mass Index among Self-Reported Vegetarians and Non-Vegetarians: A Cross-Sectional Study in Peruvian Adults.

Background: Vegetarianism is commonly associated with various health benefits. However, the association between this dietary regimen and aspects of mental health remains ambiguous. This study compared the symptoms of depression and anxiety, emotional eating (EmE), and body mass index (BMI) in Peruvian vegetarian and non-vegetarian adults. Methods: A cross-sectional study was conducted on 768 Peruvian adults, of whom 284 (37%) were vegetarians and 484 (63%) were non-vegetarians. The Depression Patient Health Questionnaire-2 (PHQ-2), Generalized Anxiety Disorder Scale-2 (GAD-2), and an EmE questionnaire were applied; additionally, the BMI was calculated. Simple and multiple linear regression and Poisson regression models with robust variance were used to evaluate the association between depression, anxiety, EmE, and BMI with dietary patterns. Results: The vegetarians (Adjusted Prevalence Ratio [PR] = 0.24, 95% CI 0.16-0.31; p < 0.001) reported more depressive symptoms than the non-vegetarians. This trend persisted for anxiety, with an adjusted PR of 0.17 (95% CI: 0.01-0.29; p = 0.012). However, the vegetarians (adjusted PR = -0.38, 95% CI: -0.61--0.14; p < 0.001) reported lower EmE scores compared to the non-vegetarians. Likewise, the vegetarians had a lower mean BMI than the non-vegetarians (B = -0.16, 95% CI: -0.21--0.08; p < 0.001). Conclusions: Vegetarian diets are associated with increased symptoms of depression and anxiety, as well as lower EmE and BMI scores. Further longitudinal studies are needed to elucidate these associations and determine causality and the underlying mechanisms involved.

Relations Between Social Camouflaging, Life Satisfaction, and Depression Among Polish Women with ADHD.

This study investigated the relationship between social camouflaging, life satisfaction, and depression symptoms in Polish women with ADHD. It aimed to fill a research gap in understanding ADHD manifestations in women, particularly focusing on social camouflaging-a concept known in autism, referring to strategies used to mask symptoms in social interactions. A total of 329 women with ADHD took part in an online survey. The survey measured ADHD symptoms using the ADHD Self Report Scale (ASRS-vI.I), life satisfaction with the Satisfaction With Life Scale (SWLS), and depressive symptoms using the Patient Health Questionnaire-9 (PHQ-9). Additionally, a novel set of questions, inspired by the Camouflaging Autistic Traits Questionnaire (CAT-Q) but tailored for ADHD, was utilized to assess social camouflaging. Results indicated a significant negative association between social camouflaging and life satisfaction and a positive correlation with depressive symptoms, even after controlling for demographic variables. Additionally, factors like being in a relationship and having a positive subjective financial situation correlated with higher well-being. Reliance on self-report measures, the cross-sectional design, and participants' self-reported ADHD diagnosis are the main limitations of the study. The research underscores the importance of social camouflaging in understanding ADHD in women, suggesting that efforts to mask symptoms and meet societal expectations may link to lower life satisfaction and increased depressive symptoms. These findings advocate for continued research into these dynamics to develop more effective support for women with ADHD.

Cost-Effectiveness of Digital Mental Health Versus Usual Care During Humanitarian Crises in Lebanon: Pragmatic Randomized Trial.

There is evidence from meta-analyses and systematic reviews that digital mental health interventions for depression, anxiety, and stress-related disorders tend to be cost-effective. However, no such evidence exists for guided digital mental health care in low and middle-income countries (LMICs) facing humanitarian crises, where the needs are highest. Step-by-Step (SbS), a digital mental health intervention for depression, anxiety, and stress-related disorders, proved to be effective for Lebanese citizens and war-affected Syrians residing in Lebanon. Assessing the cost-effectiveness of SbS is crucial because Lebanon's overstretched health care system must prioritize cost-effective treatment options in the face of continuing humanitarian and economic crises. This study aims to assess the cost-effectiveness of SbS in a randomized comparison with enhanced usual care (EUC). The cost-effectiveness analysis was conducted alongside a pragmatic randomized controlled trial in 2 parallel groups comparing SbS (n=614) with EUC (n=635). The primary outcome was cost (in US $ for the reference year 2019) per treatment response of depressive symptoms, defined as >50% reduction of depressive symptoms measured using the Patient Health Questionnaire (PHQ). The secondary outcome was cost per remission of depressive symptoms, defined as a PHQ score <5 at last follow-up (5 months post baseline). The evaluation was conducted first from the health care perspective then from the societal perspective. Taking the health care perspective, SbS had an 80% probability to be regarded as cost-effective compared with EUC when there is a willingness to pay US $220 per additional treatment response or US $840 per additional remission. Taking the wider societal perspective, SbS had a >75% probability to be cost-saving while gaining response or remission. To our knowledge, this study is the first cost-effectiveness analysis based on a large randomized controlled trial (n=1249) of a guided digital mental health intervention in an LMIC. From the principal findings, 2 implications flowed, from the (1) health care perspective and (2) wider societal perspective. First, our findings suggest that SbS is associated with greater health benefits, albeit for higher costs than EUC. It is up to decision makers in health care to decide if they find the balance between additional health gains and additional health care costs acceptable. Second, as seen from the wider societal perspective, there is a substantial likelihood that SbS is not costing more than EUC but is associated with cost-savings as SBS participants become more productive, thus offsetting their health care costs. This finding may suggest to policy makers that it is in the interest of both population health and the wider Lebanese economy to implement SbS on a wide scale. In brief, SbS may offer a scalable, potentially cost-saving response to humanitarian emergencies in an LMIC. ClinicalTrials.gov NCT03720769; https://clinicaltrials.gov/ct2/show/NCT03720769. RR2-10.2196/21585.

Analysis of patient health questionnaire-9 (PHQ-9) based depression prevalence according to a discordance between quantitative urinary cotinine levels and self-report of second-hand smoke exposure among adults: A cross-sectional study

BackgroundSecond-hand smoke (SHS) exposure appears to be more common among individuals with depression. However, self-report of SHS exposure is an inaccurate classification compared to confirming SHS exposure using urinary cotinine (UC). Additionally, the dose-response relationship between depression and UC is controversial. MethodsThe severe stress rate and depression prevalence was estimated among 14530 Korean participants aged ≥19 years using data patient health questionnaire-9 (PHQ-9) and on UC from the Korean National Health and Nutrition Examination Survey. Measured UCs were divided into four categories: UC– (≤0.3 μg/L), UC± (0.4 μg/L–0.9 μg/L), UC+ (1.0 μg/L–11.9 μg/L), and UC++ (≥12.0 μg/L). ResultsAbout 55.0 % participants were female and participants’ mean age was 51.1 years. Non-smokers were 80.3 %. Among non-smokers, non-SHS exposure participants (SR–) and SHS exposure participants (SR+) were 83.0 % and 17.0 %, respectively. When UC– was used as the reference subgroup, the UC++ subgroup showed a higher depression prevalence, whereas the UC ± subgroup showed a lower prevalence. In the same UC categories, the depression prevalence and severe stress rate were higher among females than among males. Furthermore, the SR + subgroup had a higher severe stress rate than the SR– subgroup. ConclusionsOur study showed a paradoxical reduction in the depression prevalence and severe stress rate in the UC ± subgroup compared to the UC– subgroup. Additionally, the dose-response relationship between the SHS exposure biomarker and the depression prevalence was not linear. Our study indicates that an emotional stress-based model may be more appropriate for explaining the relationship between depression and SHS exposure.