Background: Mental health issues can impact overall health status, personal relationships, workplace productivity, and other outcomes.
Aims of the study: The primary objective of this study is to determine whether recent and lifetime mental health problems are significantly related to respondents' subjective social status (SSS).
Methods: Respondents to Waves IV (2008-2009) and V (2016-2018) of the National Longitudinal Survey of Adolescent to Adult Health (Add Health) provide the data for our research. Our empirical approach estimates Spearman correlation coefficients between self-reported mental health measures and SSS followed by multivariate regression models. The final empirical models estimate fixed-effects regressions to control for potential bias due to time-invariant unobserved heterogeneity. SSS is measured on a scale from 1 to 10, with 10 indicating perceived highest place in society.
Results: All four explanatory mental health measures (ever been diagnosed with depression, ever been diagnosed with PTSD, ever been diagnosed with anxiety or panic disorder, and past 12 month psychological or emotional counseling) are negatively and significantly (p < 0.05) associated with the outcome variable, SSS.
Discussion: Relative placement in society is associated with overall health and well-being. This study contributes in a methodologically meaningful way to the existing literature by employing empirically advanced statistical techniques to panel data. The main findings clearly demonstrate that mental health issues are negatively associated with SSS.
Implications: These findings have important policy implications for mental health counselors, employers, and society in general as mental health problems become more common and less stigmatized in the U.S.
{"title":"Do Current and Lifetime Mental Health Issues Influence Subjective Social Status?","authors":"Michael T French, Karoline Mortensen, Yang Wen","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Background: </strong>Mental health issues can impact overall health status, personal relationships, workplace productivity, and other outcomes.</p><p><strong>Aims of the study: </strong>The primary objective of this study is to determine whether recent and lifetime mental health problems are significantly related to respondents' subjective social status (SSS).</p><p><strong>Methods: </strong>Respondents to Waves IV (2008-2009) and V (2016-2018) of the National Longitudinal Survey of Adolescent to Adult Health (Add Health) provide the data for our research. Our empirical approach estimates Spearman correlation coefficients between self-reported mental health measures and SSS followed by multivariate regression models. The final empirical models estimate fixed-effects regressions to control for potential bias due to time-invariant unobserved heterogeneity. SSS is measured on a scale from 1 to 10, with 10 indicating perceived highest place in society.</p><p><strong>Results: </strong>All four explanatory mental health measures (ever been diagnosed with depression, ever been diagnosed with PTSD, ever been diagnosed with anxiety or panic disorder, and past 12 month psychological or emotional counseling) are negatively and significantly (p < 0.05) associated with the outcome variable, SSS.</p><p><strong>Discussion: </strong>Relative placement in society is associated with overall health and well-being. This study contributes in a methodologically meaningful way to the existing literature by employing empirically advanced statistical techniques to panel data. The main findings clearly demonstrate that mental health issues are negatively associated with SSS.</p><p><strong>Implications: </strong>These findings have important policy implications for mental health counselors, employers, and society in general as mental health problems become more common and less stigmatized in the U.S.</p>","PeriodicalId":46381,"journal":{"name":"Journal of Mental Health Policy and Economics","volume":"28 1","pages":"17-32"},"PeriodicalIF":1.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143558332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<p><strong>Background: </strong>The enduring repercussions of long COVID have emerged as a distinct health concern, encompassing both physical and mental health challenges, such as symptoms indicative of anxiety and depression.</p><p><strong>Aims of the study: </strong>This study primarily aims to assess the prevalence of mental health issues among individuals in the United States grappling with long COVID. Additionally, it seeks to quantify the correlations between long COVID and both probable anxiety and probable depression. The research also endeavors to unravel socio-economic mechanisms contributing to these correlations and explore potential disparities in these associations.</p><p><strong>Methods: </strong>Utilizing a nationally representative dataset from the Household Pulse Survey, this study employs the probit model to investigate the associations between long COVID and probable anxiety as well as probable depression. To ensure robustness, complementary techniques, including alternative models and measures, are employed. A mechanism analysis is incorporated to identify socio-economic mediators that contribute to probable anxiety and depression in individuals with long COVID. Subgroup analyses explore variations in these associations across diverse groups.</p><p><strong>Results: </strong>Individuals with long COVID show a significantly higher prevalence of probable anxiety and depression compared to those without the condition. Through alternative techniques, the study confirms a significant correlation between long COVID and an increased likelihood of both probable anxiety and probable depression. Socio-economic mediators, specifically expense difficulty and concerns about job loss, significantly contribute to these associations. Additionally, females, individuals under 30, Hispanic individuals, non-Hispanic Black individuals, and those with disabilities are more likely to experience mental health challenges when dealing with long COVID.</p><p><strong>Discussion: </strong>The results offer quantitative evidence of a significant correlation between long COVID and mental health issues, emphasizing the critical need to address the challenges associated with prolonged COVID-19 symptoms. However, the study's reliance on a cross-sectional dataset underscores the importance of future research incorporating longitudinal data for a more comprehensive assessment of dynamic changes in mental health.</p><p><strong>Policy implications: </strong>This study emphasizes the necessity for specialized mental health support programs tailored for individuals dealing with long COVID. Policymakers should consider adopting financial assistance measures and advocating for employers to accommodate those facing long COVID. Targeted mental health support and outreach initiatives are crucial for addressing the unique needs of at-risk populations and communities, mitigating the adverse consequences of long COVID on mental well-being and facilitating a return to pre-C
{"title":"Prevalence and Correlates of Probable Anxiety and Depression among U.S. Individuals with Long COVID.","authors":"Lanlan Chu, Isabel Honzay","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Background: </strong>The enduring repercussions of long COVID have emerged as a distinct health concern, encompassing both physical and mental health challenges, such as symptoms indicative of anxiety and depression.</p><p><strong>Aims of the study: </strong>This study primarily aims to assess the prevalence of mental health issues among individuals in the United States grappling with long COVID. Additionally, it seeks to quantify the correlations between long COVID and both probable anxiety and probable depression. The research also endeavors to unravel socio-economic mechanisms contributing to these correlations and explore potential disparities in these associations.</p><p><strong>Methods: </strong>Utilizing a nationally representative dataset from the Household Pulse Survey, this study employs the probit model to investigate the associations between long COVID and probable anxiety as well as probable depression. To ensure robustness, complementary techniques, including alternative models and measures, are employed. A mechanism analysis is incorporated to identify socio-economic mediators that contribute to probable anxiety and depression in individuals with long COVID. Subgroup analyses explore variations in these associations across diverse groups.</p><p><strong>Results: </strong>Individuals with long COVID show a significantly higher prevalence of probable anxiety and depression compared to those without the condition. Through alternative techniques, the study confirms a significant correlation between long COVID and an increased likelihood of both probable anxiety and probable depression. Socio-economic mediators, specifically expense difficulty and concerns about job loss, significantly contribute to these associations. Additionally, females, individuals under 30, Hispanic individuals, non-Hispanic Black individuals, and those with disabilities are more likely to experience mental health challenges when dealing with long COVID.</p><p><strong>Discussion: </strong>The results offer quantitative evidence of a significant correlation between long COVID and mental health issues, emphasizing the critical need to address the challenges associated with prolonged COVID-19 symptoms. However, the study's reliance on a cross-sectional dataset underscores the importance of future research incorporating longitudinal data for a more comprehensive assessment of dynamic changes in mental health.</p><p><strong>Policy implications: </strong>This study emphasizes the necessity for specialized mental health support programs tailored for individuals dealing with long COVID. Policymakers should consider adopting financial assistance measures and advocating for employers to accommodate those facing long COVID. Targeted mental health support and outreach initiatives are crucial for addressing the unique needs of at-risk populations and communities, mitigating the adverse consequences of long COVID on mental well-being and facilitating a return to pre-C","PeriodicalId":46381,"journal":{"name":"Journal of Mental Health Policy and Economics","volume":"28 1","pages":"3-16"},"PeriodicalIF":1.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143558263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<p><strong>Background: </strong>There is extensive evidence on the associations between mental disorders such as attention deficit hyperactivity disorder (ADHD), conduct disorder (CD), oppositional/defiant disorder (ODD), and anxiety/depression and delinquency among youths. However, research has largely overlooked the potential confounding from comorbidity of these mental disorders as well as unobserved familial heterogeneity.</p><p><strong>Aims of the study: </strong>This study aims to estimate the causal effects of mental health in childhood (age 4-12) on delinquency in adolescence (age 13-18) by adjusting for comorbid mental disorders and unobserved maternal heterogeneity in a longitudinal setup.</p><p><strong>Methods: </strong>A total of 721 sibling pairs from the Child Development Supplement of the Panel Study of Income Dynamics (PSID), a nationally representative US longitudinal survey, are followed from 1997 to 2019. The Behavior Problems Index (BPI) was used to measure the mental health of children. The hyperactive, antisocial, oppositional, and anxiety/depression subscales of the BPI measuring the symptoms of ADHD, CD, ODD, and anxiety/depression were assessed by their biological mothers who were the primary caregivers. We further consider early-onset cannabis use, a symptom of substance use/abuse, as a risk factor for subsequent delinquency. Delinquency is measured by self-reported retrospective lifetime contact with the criminal justice system and victimization by age 18. The types of contact include arrest, probation, and incarceration, and victimization from physical assault and rape, whose information is drawn from the Transition into Adulthood Supplements of the PSID.</p><p><strong>Results: </strong>When comorbidity and family-specific unobserved factors are accounted for, we find little evidence for the effects of ADHD, ODD, and depression/anxiety on lifetime contact with criminal justice system in adolescence whereas the symptom scores for CD in childhood are modestly associated with having been attacked in adolescence (p=0.001). Rather, we find that early-onset cannabis use strongly and robustly predicts lifetime arrest (p=0.013), probation (p=0.034), and incarceration (p=0.093) by age 18. These estimated effects of CD and cannabis use on juvenile delinquency are mostly driven by boys.</p><p><strong>Discussion: </strong>The findings suggest that childhood mental disorders are a risk factor for juvenile delinquency, but the associations may not be causal except for CD and substance use disorder. Crime is often seen as a rational choice of individuals with low educational attainment, yet our findings show that childhood ADHD, which has been shown to generate substantial educational gaps, does not necessarily lead to a higher probability of delinquency in adolescence. Study limitations include mother-reported measures of child mental disorders, lack of information on treatment for mental disorders, especially ADHD, and partial gene
{"title":"The Effects of Child Mental Health on Juvenile Criminal Justice Contact and Victimization.","authors":"Dohyung Kim","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Background: </strong>There is extensive evidence on the associations between mental disorders such as attention deficit hyperactivity disorder (ADHD), conduct disorder (CD), oppositional/defiant disorder (ODD), and anxiety/depression and delinquency among youths. However, research has largely overlooked the potential confounding from comorbidity of these mental disorders as well as unobserved familial heterogeneity.</p><p><strong>Aims of the study: </strong>This study aims to estimate the causal effects of mental health in childhood (age 4-12) on delinquency in adolescence (age 13-18) by adjusting for comorbid mental disorders and unobserved maternal heterogeneity in a longitudinal setup.</p><p><strong>Methods: </strong>A total of 721 sibling pairs from the Child Development Supplement of the Panel Study of Income Dynamics (PSID), a nationally representative US longitudinal survey, are followed from 1997 to 2019. The Behavior Problems Index (BPI) was used to measure the mental health of children. The hyperactive, antisocial, oppositional, and anxiety/depression subscales of the BPI measuring the symptoms of ADHD, CD, ODD, and anxiety/depression were assessed by their biological mothers who were the primary caregivers. We further consider early-onset cannabis use, a symptom of substance use/abuse, as a risk factor for subsequent delinquency. Delinquency is measured by self-reported retrospective lifetime contact with the criminal justice system and victimization by age 18. The types of contact include arrest, probation, and incarceration, and victimization from physical assault and rape, whose information is drawn from the Transition into Adulthood Supplements of the PSID.</p><p><strong>Results: </strong>When comorbidity and family-specific unobserved factors are accounted for, we find little evidence for the effects of ADHD, ODD, and depression/anxiety on lifetime contact with criminal justice system in adolescence whereas the symptom scores for CD in childhood are modestly associated with having been attacked in adolescence (p=0.001). Rather, we find that early-onset cannabis use strongly and robustly predicts lifetime arrest (p=0.013), probation (p=0.034), and incarceration (p=0.093) by age 18. These estimated effects of CD and cannabis use on juvenile delinquency are mostly driven by boys.</p><p><strong>Discussion: </strong>The findings suggest that childhood mental disorders are a risk factor for juvenile delinquency, but the associations may not be causal except for CD and substance use disorder. Crime is often seen as a rational choice of individuals with low educational attainment, yet our findings show that childhood ADHD, which has been shown to generate substantial educational gaps, does not necessarily lead to a higher probability of delinquency in adolescence. Study limitations include mother-reported measures of child mental disorders, lack of information on treatment for mental disorders, especially ADHD, and partial gene","PeriodicalId":46381,"journal":{"name":"Journal of Mental Health Policy and Economics","volume":"28 1","pages":"33-46"},"PeriodicalIF":1.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143558265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<p><strong>Background: </strong>With over 40 million food insecure Americans, access to food is a significant policy challenge. Food insecurity is associated with many adverse health conditions, including poorer mental health outcomes. However, previous research generally does not address that poor mental health can both be a cause and a consequence of food insecurity.</p><p><strong>Aims of the study: </strong>We estimate the directional causal effect of food insecurity on mental health status and mental health treatment using bounding methods to partially identify the causal effects from food insecurity to mental health status and mental health treatment.</p><p><strong>Methods: </strong>Data on food security, mental health status, mental health treatment, and individual and family socioeconomic characteristics for adults come from the nationally representative 2016 and 2017 Medical Expenditure Panel Survey. We use both the continuous score (0-10) of a 10-question module on food security as well as classifying adults as living in households that are food secure (0) or having marginal (1-2), low (3-5), or very low food security (6-10). Mental health status is measured using the Kessler-6 (K6) and the PHQ2 depression screening scales. A K6 score of 13 or greater indicates serious psychological distress while a score of 7 to 12 indicates moderate distress. A score of 3 or more on the PHQ-2 indicates probable depression. Mental health treatment is measured by ambulatory mental health visits, prescriptions for psychotropic medications, and total mental health expenditures. Standard parametric regression models are used as a baseline for partial identification models that bound the effects of food security on mental health. In our preferred specification, we impose the following assumptions: monotone treatment selection (MTS), monotone treatment response (MTR), and monotone instrumental variables (MIV) using household income as an instrument.</p><p><strong>Results: </strong>Those living in food insecure households are more likely to experience psychological distress and depression than those who in food secure households, but do not seek commensurately more mental health treatment. Non-parametric bounds suggest food insecurity increases the probability of moderate psychological distress by no more than 7.2 percentage points, serious psychological distress by no more than 3 percentage points, and probable depression by no more than 4.2 percentage points. The estimated effect sizes of food security on mental health treatment are much smaller, with treatment uptake increasing by no more than 2.4 percentage points.</p><p><strong>Discussion: </strong>Our parametric results are consistent with prior findings on the relationship between food security and mental health. We provide evidence for a causal effect of food insecurity which may account for about half the observed association of food security on mental health. A new and previously unreported result in
{"title":"Food Security and Mental Health in the United States: Evidence from the Medical Expenditure Panel Survey.","authors":"Chandler B McClellan, Samuel H Zuvekas","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Background: </strong>With over 40 million food insecure Americans, access to food is a significant policy challenge. Food insecurity is associated with many adverse health conditions, including poorer mental health outcomes. However, previous research generally does not address that poor mental health can both be a cause and a consequence of food insecurity.</p><p><strong>Aims of the study: </strong>We estimate the directional causal effect of food insecurity on mental health status and mental health treatment using bounding methods to partially identify the causal effects from food insecurity to mental health status and mental health treatment.</p><p><strong>Methods: </strong>Data on food security, mental health status, mental health treatment, and individual and family socioeconomic characteristics for adults come from the nationally representative 2016 and 2017 Medical Expenditure Panel Survey. We use both the continuous score (0-10) of a 10-question module on food security as well as classifying adults as living in households that are food secure (0) or having marginal (1-2), low (3-5), or very low food security (6-10). Mental health status is measured using the Kessler-6 (K6) and the PHQ2 depression screening scales. A K6 score of 13 or greater indicates serious psychological distress while a score of 7 to 12 indicates moderate distress. A score of 3 or more on the PHQ-2 indicates probable depression. Mental health treatment is measured by ambulatory mental health visits, prescriptions for psychotropic medications, and total mental health expenditures. Standard parametric regression models are used as a baseline for partial identification models that bound the effects of food security on mental health. In our preferred specification, we impose the following assumptions: monotone treatment selection (MTS), monotone treatment response (MTR), and monotone instrumental variables (MIV) using household income as an instrument.</p><p><strong>Results: </strong>Those living in food insecure households are more likely to experience psychological distress and depression than those who in food secure households, but do not seek commensurately more mental health treatment. Non-parametric bounds suggest food insecurity increases the probability of moderate psychological distress by no more than 7.2 percentage points, serious psychological distress by no more than 3 percentage points, and probable depression by no more than 4.2 percentage points. The estimated effect sizes of food security on mental health treatment are much smaller, with treatment uptake increasing by no more than 2.4 percentage points.</p><p><strong>Discussion: </strong>Our parametric results are consistent with prior findings on the relationship between food security and mental health. We provide evidence for a causal effect of food insecurity which may account for about half the observed association of food security on mental health. A new and previously unreported result in","PeriodicalId":46381,"journal":{"name":"Journal of Mental Health Policy and Economics","volume":"27 4","pages":"115-128"},"PeriodicalIF":1.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143392294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stuart L Lustig, Vikram Shah, Lisa Kay, Andrew DiGiacomo, Douglas A Nemecek
Background: Value-based reimbursement (VBR) has become increasingly common among medical practitioners but mental health practitioners (MHPs) have largely remained in fee-for-service (FFS) arrangements. Aligning payment incentives to clinical outcomes rather than volume of services, VBR aspires to achieve health care's quadruple aim, namely improved patient experience, improved population health, reduced costs, and improved work life of health care providers.
Aims of the study: (i) Describe both the historical challenges to implementing VBR for mental health care within the United States, along with the shifting healthcare landscape which now enables VBR arrangements between payers and MHPs; (ii) Highlight considerations for defining quality care and establishing VBR contracting.
Results, discussion and implications: Historically, VBR has been challenging to implement due to a shortage of MHPs in payer networks. Technological challenges such as the absence of electronic medical records required for efficient data analysis and immature data-sharing capabilities, have hindered VBR, as has a culture of clinical practice that relies on clinical intuition as opposed to measured outcomes. VBR is now gaining traction based on overwhelming evidence for measurement-based care, a prerequisite for outcome reporting that larger practices have begun to achieve. Multiple stakeholder organizations have been advocating for measurement-based care. Payers and MHPs can and should collaboratively structure VBR contracts to align greater reimbursements with achievable increases in quality across multiple domains. Contracts can focus on numerous process metrics, such as time to care, treatment adherence, and appropriate avoidance of emergency care, along with clinical and functional outcomes. In some instances, case rates for episodes of care can meanwhile help payer and MHPs transition from FFS to VBR.
{"title":"PERSPECTIVE: Has Value-Based Reimbursement Arrived for Behavioral Health? A Payer Perspective.","authors":"Stuart L Lustig, Vikram Shah, Lisa Kay, Andrew DiGiacomo, Douglas A Nemecek","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Background: </strong>Value-based reimbursement (VBR) has become increasingly common among medical practitioners but mental health practitioners (MHPs) have largely remained in fee-for-service (FFS) arrangements. Aligning payment incentives to clinical outcomes rather than volume of services, VBR aspires to achieve health care's quadruple aim, namely improved patient experience, improved population health, reduced costs, and improved work life of health care providers.</p><p><strong>Aims of the study: </strong>(i) Describe both the historical challenges to implementing VBR for mental health care within the United States, along with the shifting healthcare landscape which now enables VBR arrangements between payers and MHPs; (ii) Highlight considerations for defining quality care and establishing VBR contracting.</p><p><strong>Results, discussion and implications: </strong>Historically, VBR has been challenging to implement due to a shortage of MHPs in payer networks. Technological challenges such as the absence of electronic medical records required for efficient data analysis and immature data-sharing capabilities, have hindered VBR, as has a culture of clinical practice that relies on clinical intuition as opposed to measured outcomes. VBR is now gaining traction based on overwhelming evidence for measurement-based care, a prerequisite for outcome reporting that larger practices have begun to achieve. Multiple stakeholder organizations have been advocating for measurement-based care. Payers and MHPs can and should collaboratively structure VBR contracts to align greater reimbursements with achievable increases in quality across multiple domains. Contracts can focus on numerous process metrics, such as time to care, treatment adherence, and appropriate avoidance of emergency care, along with clinical and functional outcomes. In some instances, case rates for episodes of care can meanwhile help payer and MHPs transition from FFS to VBR.</p>","PeriodicalId":46381,"journal":{"name":"Journal of Mental Health Policy and Economics","volume":"27 4","pages":"109-113"},"PeriodicalIF":1.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143392295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ericka C Solis, Ingrid V E Carlier, Noelle Kamminga, Albert M van Hemert, M Elske van den Akker-van Marle
<p><strong>Background: </strong>Persistent depressive disorder (PDD; chronic depression) is associated with high personal, economic, and societal burden. Patients with PDD often fail to respond to treatment, despite long-term, intensive care, suggesting that future treatment should focus more on functional recovery. The "Patient and Partner Education Program for All Chronic Diseases-Persistent Depressive Disorder" (PPEP4All-PDD) is a brief self-management program for patients with PDD with nine weekly sessions, provided in group or individual format. Its focus on functional recovery may increase quality of life and shorten treatment duration, thus reducing healthcare and societal costs. This study examined the cost-effectiveness of PPEP4All-PDD for adults and elderly with PDD and their partners/caregivers compared to care-as-usual (CAU).</p><p><strong>Aims of the study: </strong>In this economic evaluation, we examined whether a favorable cost-utility of PPEP4All-PDD compared to CAU could be attained.</p><p><strong>Method: </strong>In this multicenter pragmatic randomized controlled trial, 70 patients with PDD and 14 partners/caregivers were included. Data were collected at 0, 3, 6, and 12 months. Health-related quality of life was measured using the EuroQoL 5-Dimensions/Levels (EQ-5D-5L). Cost of healthcare utilization and productivity loss were assessed using the Trimbos questionnaire for Costs associated with Psychiatric illness (TiC-P). We examined incremental costs per quality-adjusted life years (QALYs) after one year.</p><p><strong>Results: </strong>In relation to PPEP4All-PDD, 62% (n = 23) of patients had no participating PPEP4All-PDD partner/caregiver, and 89% (n = 33) of patients participated in group format. On average, PPEP4All-PDD cost €232 including the PPEP4All-PDD partner/caregiver, or €166 excluding the partner/caregiver. There was no statistical difference in mean costs per patient for (mental) healthcare, non-healthcare, and societal costs nor in QALYs between PPEP4All-PDD and CAU. The probability that PPEP4All-PDD is cost-effective compared to CAU remained below 50% for all acceptable values of willingness-to-pay for a QALY.</p><p><strong>Discussion: </strong>This was the first economic evaluation of PPEP4All-PDD. Compared to CAU, PPEP4All-PDD did not lead to lower total healthcare costs nor higher quality of life in the one-year follow-up period. PPEP4All-PDD patients continued to receive additional mental healthcare sessions, showing that the process of ending treatment after a self-management intervention is not clear. The COVID-19 situation may have also affected this process after PPEP4All-PDD, due to higher levels of anxiety and loneliness. We could not confirm that involvement of the partner/caregiver was beneficial to patient treatment outcomes and requires further examination.</p><p><strong>Implications: </strong>This economic evaluation failed to find significant differences in costs between PPEP4All-PDD and CAU over
{"title":"Economic Evaluation of Self-Management for Patients with Persistent Depressive Disorder and their Caregivers.","authors":"Ericka C Solis, Ingrid V E Carlier, Noelle Kamminga, Albert M van Hemert, M Elske van den Akker-van Marle","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Background: </strong>Persistent depressive disorder (PDD; chronic depression) is associated with high personal, economic, and societal burden. Patients with PDD often fail to respond to treatment, despite long-term, intensive care, suggesting that future treatment should focus more on functional recovery. The \"Patient and Partner Education Program for All Chronic Diseases-Persistent Depressive Disorder\" (PPEP4All-PDD) is a brief self-management program for patients with PDD with nine weekly sessions, provided in group or individual format. Its focus on functional recovery may increase quality of life and shorten treatment duration, thus reducing healthcare and societal costs. This study examined the cost-effectiveness of PPEP4All-PDD for adults and elderly with PDD and their partners/caregivers compared to care-as-usual (CAU).</p><p><strong>Aims of the study: </strong>In this economic evaluation, we examined whether a favorable cost-utility of PPEP4All-PDD compared to CAU could be attained.</p><p><strong>Method: </strong>In this multicenter pragmatic randomized controlled trial, 70 patients with PDD and 14 partners/caregivers were included. Data were collected at 0, 3, 6, and 12 months. Health-related quality of life was measured using the EuroQoL 5-Dimensions/Levels (EQ-5D-5L). Cost of healthcare utilization and productivity loss were assessed using the Trimbos questionnaire for Costs associated with Psychiatric illness (TiC-P). We examined incremental costs per quality-adjusted life years (QALYs) after one year.</p><p><strong>Results: </strong>In relation to PPEP4All-PDD, 62% (n = 23) of patients had no participating PPEP4All-PDD partner/caregiver, and 89% (n = 33) of patients participated in group format. On average, PPEP4All-PDD cost €232 including the PPEP4All-PDD partner/caregiver, or €166 excluding the partner/caregiver. There was no statistical difference in mean costs per patient for (mental) healthcare, non-healthcare, and societal costs nor in QALYs between PPEP4All-PDD and CAU. The probability that PPEP4All-PDD is cost-effective compared to CAU remained below 50% for all acceptable values of willingness-to-pay for a QALY.</p><p><strong>Discussion: </strong>This was the first economic evaluation of PPEP4All-PDD. Compared to CAU, PPEP4All-PDD did not lead to lower total healthcare costs nor higher quality of life in the one-year follow-up period. PPEP4All-PDD patients continued to receive additional mental healthcare sessions, showing that the process of ending treatment after a self-management intervention is not clear. The COVID-19 situation may have also affected this process after PPEP4All-PDD, due to higher levels of anxiety and loneliness. We could not confirm that involvement of the partner/caregiver was beneficial to patient treatment outcomes and requires further examination.</p><p><strong>Implications: </strong>This economic evaluation failed to find significant differences in costs between PPEP4All-PDD and CAU over","PeriodicalId":46381,"journal":{"name":"Journal of Mental Health Policy and Economics","volume":"27 4","pages":"129-143"},"PeriodicalIF":1.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143392251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<p><strong>Background: </strong>Childhood disruptive behaviour disorder associates with various, also costly problems. Parent training is effective in reducing childhood disruptive behaviour. Only a few studies have evaluated the cost-effectiveness of digital parent training in reducing children's disruptive behaviour.</p><p><strong>Aims of the study: </strong>We evaluated the two-year cost-effectiveness of an Internet and telephone assisted parent training intervention called the Strongest Families Smart Website (SFSW) for prevention of children's disruptive behaviour compared to education control (EC) from the combined perspective of the health care funder and parents.</p><p><strong>Methods: </strong>This study used data from a randomized controlled trial (RCT). The trial screened a population-based sample of 4,656 four-year-olds at annual child health clinic check-ups in Finnish primary care. A total of 464 disruptively behaving children participated in the RCT; half received the SFSW and half EC. We evaluated intention-to-treat based incremental net monetary benefit with a range of willingness to pay values. Costs contained the interventions' and parents' time-use costs. The effectiveness measure was the Child Behavior Checklist (CBCL/1.5-5) externalizing score. The trial is registered at Clinicaltrials.gov (NCT01750996).</p><p><strong>Results: </strong>From the health care funder's perspective, SFSW costs per family were €1,982 and EC €661, and from the parents' perspective SFSW costs per family were €462 and EC €77. From the combined health care funder and parents' perspective, costs were €1,707 higher in the SFSW intervention than in EC. The SFSW decreased the CBCL externalizing score (1.94, SE=0.78, p=0.01) more in comparison to the EC group. In cost-effectiveness analysis using the combined perspective, the incremental net monetary benefit was zero [95% CI €-1,524 to €1,524] if the willingness to pay for one extra point of CBCL externalizing score reduced was €879. If the willingness to pay was more than €879, the average incremental net monetary benefit was positive.</p><p><strong>Discussion: </strong>The cost-effectiveness of the SFSW depends on the decision makers' willingness to pay, which is not stated for CBCL outcomes. Also, the decision maker should consider the uncertainty of cost-effectiveness estimates. The lack of other service use information and micro-costing of SFSW and EC intervention costs weakens our conclusions. However, our study had multiple strengths, such as population-based screening, high sample size, 2-year follow-up, and use of proper methods to conduct a full economic evaluation.</p><p><strong>Implications for health care provision and use: </strong>The SFSW is effective in reducing children's disruptive behaviour. Although digitally provided, the SFSW intervention included professional time and, thus, costs. The costs of intervention to the healthcare provider and time cost to families should be taken into ac
{"title":"Cost-Effectiveness of Digital Preventive Parent Training for Early Childhood Disruptive Behaviour.","authors":"Elisa Rissanen, Virpi Kuvaja-Köllner, Eila Kankaanpää","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Background: </strong>Childhood disruptive behaviour disorder associates with various, also costly problems. Parent training is effective in reducing childhood disruptive behaviour. Only a few studies have evaluated the cost-effectiveness of digital parent training in reducing children's disruptive behaviour.</p><p><strong>Aims of the study: </strong>We evaluated the two-year cost-effectiveness of an Internet and telephone assisted parent training intervention called the Strongest Families Smart Website (SFSW) for prevention of children's disruptive behaviour compared to education control (EC) from the combined perspective of the health care funder and parents.</p><p><strong>Methods: </strong>This study used data from a randomized controlled trial (RCT). The trial screened a population-based sample of 4,656 four-year-olds at annual child health clinic check-ups in Finnish primary care. A total of 464 disruptively behaving children participated in the RCT; half received the SFSW and half EC. We evaluated intention-to-treat based incremental net monetary benefit with a range of willingness to pay values. Costs contained the interventions' and parents' time-use costs. The effectiveness measure was the Child Behavior Checklist (CBCL/1.5-5) externalizing score. The trial is registered at Clinicaltrials.gov (NCT01750996).</p><p><strong>Results: </strong>From the health care funder's perspective, SFSW costs per family were €1,982 and EC €661, and from the parents' perspective SFSW costs per family were €462 and EC €77. From the combined health care funder and parents' perspective, costs were €1,707 higher in the SFSW intervention than in EC. The SFSW decreased the CBCL externalizing score (1.94, SE=0.78, p=0.01) more in comparison to the EC group. In cost-effectiveness analysis using the combined perspective, the incremental net monetary benefit was zero [95% CI €-1,524 to €1,524] if the willingness to pay for one extra point of CBCL externalizing score reduced was €879. If the willingness to pay was more than €879, the average incremental net monetary benefit was positive.</p><p><strong>Discussion: </strong>The cost-effectiveness of the SFSW depends on the decision makers' willingness to pay, which is not stated for CBCL outcomes. Also, the decision maker should consider the uncertainty of cost-effectiveness estimates. The lack of other service use information and micro-costing of SFSW and EC intervention costs weakens our conclusions. However, our study had multiple strengths, such as population-based screening, high sample size, 2-year follow-up, and use of proper methods to conduct a full economic evaluation.</p><p><strong>Implications for health care provision and use: </strong>The SFSW is effective in reducing children's disruptive behaviour. Although digitally provided, the SFSW intervention included professional time and, thus, costs. The costs of intervention to the healthcare provider and time cost to families should be taken into ac","PeriodicalId":46381,"journal":{"name":"Journal of Mental Health Policy and Economics","volume":"27 3","pages":"85-98"},"PeriodicalIF":1.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142298333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mehmet Uçar, Metin Yildiz, Necmettin Çiftci, Rukuye Aylaz
<p><strong>Background: </strong>Cryptocurrency trading has become popular with a large section of society, and the number of investors is increasing daily. It is critical to address the health impacts of cryptocurrency trading. Of particular importance is the issue of how such trading affects mental health. Research should be conducted on this topic, and where necessary, national governments should develop policies to combat these effects.</p><p><strong>Aims: </strong>This study was conducted to examine the relationship of cryptocurrency trading to quality of life, sleep, and stress levels in academics.</p><p><strong>Methods: </strong>This descriptive and cross-sectional study was conducted with 437 academics working at a state university in Turkey. A Personal Information Form, the SF-12 Quality of Life Scale, the Scopa Sleep Scale, and the Perceived Stress Scale were used to collect data. These data were analyzed using SPSS 25.0 and G*Power 3.1 programs.</p><p><strong>Results: </strong>The data obtained in this study were analyzed using SPSS program (SPSS-25). The effect size and r-effect size were calculated with Cohen’s d value. It was found that the mean scores for the SF-12 Quality of Life Scale were statistically lower in academics who traded cryptocurrency than in those who did not. The results showed that the mean scores for the Scopa Sleep Scale and Perceived Stress Scale were statistically higher in academics who traded cryptocurrency than in those who did not (p<0.05).</p><p><strong>Discussion: </strong>The academics who traded cryptocurrency had more negative health outcomes when compared to those who did not. Social awareness should be raised on the negative effects of cryptocurrency trading. A limitation of the study is that only data obtained from the statements of the participants were included in the study. The study may have some generalizability to other academics, but has less generalizability to populations other than academics.</p><p><strong>Implications for health care provision and use: </strong>Cryptocurrency trading is a significant public health problem. Although cryptocurrency trading has been found to profoundly affect mental health (sleep, stress, and quality of life), the current policies that address these problems are generally inadequate in terms of implementing and sustaining mental healthcare systems. The limitations of these health policies prevent many individuals in society from receiving high quality services.</p><p><strong>Implications for health policies: </strong>Health systems alone cannot solve the systemic problems that lead to the population’s dependence of mental health services and institutions. In order to solve this basic problem, it may be necessary for governments to increase individuals’ basic incomes and develop specific mental health policies for people engaged in cryptocurrency trading.</p><p><strong>Implications for further research: </strong>Future studies should examine expert perspectiv
{"title":"Relationship of Cryptocurrency Trading to Quality of Life, Sleep and Stress Levels in Academics","authors":"Mehmet Uçar, Metin Yildiz, Necmettin Çiftci, Rukuye Aylaz","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Background: </strong>Cryptocurrency trading has become popular with a large section of society, and the number of investors is increasing daily. It is critical to address the health impacts of cryptocurrency trading. Of particular importance is the issue of how such trading affects mental health. Research should be conducted on this topic, and where necessary, national governments should develop policies to combat these effects.</p><p><strong>Aims: </strong>This study was conducted to examine the relationship of cryptocurrency trading to quality of life, sleep, and stress levels in academics.</p><p><strong>Methods: </strong>This descriptive and cross-sectional study was conducted with 437 academics working at a state university in Turkey. A Personal Information Form, the SF-12 Quality of Life Scale, the Scopa Sleep Scale, and the Perceived Stress Scale were used to collect data. These data were analyzed using SPSS 25.0 and G*Power 3.1 programs.</p><p><strong>Results: </strong>The data obtained in this study were analyzed using SPSS program (SPSS-25). The effect size and r-effect size were calculated with Cohen’s d value. It was found that the mean scores for the SF-12 Quality of Life Scale were statistically lower in academics who traded cryptocurrency than in those who did not. The results showed that the mean scores for the Scopa Sleep Scale and Perceived Stress Scale were statistically higher in academics who traded cryptocurrency than in those who did not (p<0.05).</p><p><strong>Discussion: </strong>The academics who traded cryptocurrency had more negative health outcomes when compared to those who did not. Social awareness should be raised on the negative effects of cryptocurrency trading. A limitation of the study is that only data obtained from the statements of the participants were included in the study. The study may have some generalizability to other academics, but has less generalizability to populations other than academics.</p><p><strong>Implications for health care provision and use: </strong>Cryptocurrency trading is a significant public health problem. Although cryptocurrency trading has been found to profoundly affect mental health (sleep, stress, and quality of life), the current policies that address these problems are generally inadequate in terms of implementing and sustaining mental healthcare systems. The limitations of these health policies prevent many individuals in society from receiving high quality services.</p><p><strong>Implications for health policies: </strong>Health systems alone cannot solve the systemic problems that lead to the population’s dependence of mental health services and institutions. In order to solve this basic problem, it may be necessary for governments to increase individuals’ basic incomes and develop specific mental health policies for people engaged in cryptocurrency trading.</p><p><strong>Implications for further research: </strong>Future studies should examine expert perspectiv","PeriodicalId":46381,"journal":{"name":"Journal of Mental Health Policy and Economics","volume":"27 3","pages":"63-70"},"PeriodicalIF":1.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142298335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Olga Milliken, Hui Wang, Marie-Chantal Benda, Thy Dinh, Alan Diener
<p><strong>Background: </strong>Mental ill-health-illness or conditions related to mental health, including dementia, schizophrenia, mood (affective) disorders, and mental and behaviour disorders due to psychoactive substance and alcohol use - places a significant burden on society in terms of economic, health, and social costs. Focusing on direct health care costs, estimated expenditures on treating mental health conditions accounted for up to 14% of total health expenditures across 12 OECD countries over the period of 2003 to 2010.</p><p><strong>Aims of the study: </strong>The purpose of this study was to estimate the direct health care costs associated with the treatment of mental ill-health in Canada for the year 2019 using currently available guidelines. A consistent and systematic method, such as that used in the OECD guidelines on expenditure by disease, age and gender under the System of Health Accounts, can provide valuable information for policy makers and improve comparability of Canadian estimates with those of peer countries.</p><p><strong>Methods: </strong>To derive comprehensive, and internationally comparable estimates of mental health care expenditures, the results were classified according to the OECD System of Health Accounts 2011 for the following cost components: hospitals, physicians, psychologists in private practice, prescription drugs, and community mental health care. Based on data availability, both public and private expenditures were captured. Where data were lacking, estimates were based on the published literature.</p><p><strong>Results: </strong>Total expenditure for mental health care was estimated at $17.1 billion in Canada in 2019. Hospital services (inpatient and outpatient) represent the largest component totaling $5.5 billion or 32% of total mental health spending. They are followed by expenditures on prescribed pharmaceutical drugs of $4.3 billion (25%), community-based care of $3.6 billion (21%), physician services of $2.7 billion (16%) and services of psychologists in private practice of $1.1 billion (6%).</p><p><strong>Discussion: </strong>The study provided the most recent and comprehensive estimate of mental health expenditure in Canada. The results for similar cost components, are comparable to those found in the previous studies. Expenditures directed towards mental health treatment accounted for 6.4% of total health expenditures, and 6.9% of public health expenditures, in 2019, on par with the OECD average of 6.7% for twenty-three countries. Among considered cost components, community-based mental health and addiction services remain an area where further work is needed the most, including a standardized list of services reported by each Canadian province/territory regardless of care setting, service administrator or funder. In Canada, data challenges are considerable to assess private spending out-of-pocket or through third-party insurance for services by psychologists or psychotherapists, as well
{"title":"Mental Health Expenditure in Canada.","authors":"Olga Milliken, Hui Wang, Marie-Chantal Benda, Thy Dinh, Alan Diener","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Background: </strong>Mental ill-health-illness or conditions related to mental health, including dementia, schizophrenia, mood (affective) disorders, and mental and behaviour disorders due to psychoactive substance and alcohol use - places a significant burden on society in terms of economic, health, and social costs. Focusing on direct health care costs, estimated expenditures on treating mental health conditions accounted for up to 14% of total health expenditures across 12 OECD countries over the period of 2003 to 2010.</p><p><strong>Aims of the study: </strong>The purpose of this study was to estimate the direct health care costs associated with the treatment of mental ill-health in Canada for the year 2019 using currently available guidelines. A consistent and systematic method, such as that used in the OECD guidelines on expenditure by disease, age and gender under the System of Health Accounts, can provide valuable information for policy makers and improve comparability of Canadian estimates with those of peer countries.</p><p><strong>Methods: </strong>To derive comprehensive, and internationally comparable estimates of mental health care expenditures, the results were classified according to the OECD System of Health Accounts 2011 for the following cost components: hospitals, physicians, psychologists in private practice, prescription drugs, and community mental health care. Based on data availability, both public and private expenditures were captured. Where data were lacking, estimates were based on the published literature.</p><p><strong>Results: </strong>Total expenditure for mental health care was estimated at $17.1 billion in Canada in 2019. Hospital services (inpatient and outpatient) represent the largest component totaling $5.5 billion or 32% of total mental health spending. They are followed by expenditures on prescribed pharmaceutical drugs of $4.3 billion (25%), community-based care of $3.6 billion (21%), physician services of $2.7 billion (16%) and services of psychologists in private practice of $1.1 billion (6%).</p><p><strong>Discussion: </strong>The study provided the most recent and comprehensive estimate of mental health expenditure in Canada. The results for similar cost components, are comparable to those found in the previous studies. Expenditures directed towards mental health treatment accounted for 6.4% of total health expenditures, and 6.9% of public health expenditures, in 2019, on par with the OECD average of 6.7% for twenty-three countries. Among considered cost components, community-based mental health and addiction services remain an area where further work is needed the most, including a standardized list of services reported by each Canadian province/territory regardless of care setting, service administrator or funder. In Canada, data challenges are considerable to assess private spending out-of-pocket or through third-party insurance for services by psychologists or psychotherapists, as well ","PeriodicalId":46381,"journal":{"name":"Journal of Mental Health Policy and Economics","volume":"27 3","pages":"75-84"},"PeriodicalIF":1.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142298334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Maternal depression is the most prevalent mental health problem worldwide, especially in low- and middle-income countries. It impairs the cognitive, physical, and social abilities of mothers and disturbs effective parenting practices. Therefore, the consequences of mental, physical, and social suffering are not limited to the mother herself but are transmitted to future generations by negatively affecting the child's health.
Aim of the study: This study aims to analyse the relationship between maternal depression and child's physical health in Turkey, a middle-income, developing country.
Methods: By using the 2019 round of the "Turkish Health Survey" dataset prepared by the Turkish Statistical Institute (TurkStat), we focus on the general health status, anaemia prevalence, morbidity of acute respiratory infections (ARI) and diarrhoea along with other common short-term childhood illnesses among under-five children. Maternal depression is assessed by the standardised eight-item version of the Patient Health Questionnaire (PHQ-8). We employ a linear probability model to examine the relationship between maternal depression and the physical health of under-five children. In addition, we investigate the potential protective role of maternal education against the detrimental effects of maternal depression on child health. Since we are simultaneously analysing several outcome measures, in order to avoid any Type I error, we use the novel Romano-Wolf multiple hypothesis testing method.
Results: We find that children whose mothers suffer from mild to severe depression are at a 12 percentage points higher risk of contracting infectious diseases. Similarly, the total number of non-chronic illnesses a child falls victim to increases by one-third if the mother portrays depressive symptoms. In addition, our results suggest that completing at least high school reduces the burdens of maternal depression on children's physical health by 8 percentage points.
Discussion: Considering both the individual and societal burden of infectious disease prevalence, we conclude that the development of worldwide policies and initiatives aimed at decreasing maternal depression as much as increasing maternal education is essential for safeguarding the rights of both women and children, especially in developing countries.
Limitations of the study: The findings of this research provide a linear association between maternal mental health and under-five child's physical health, rather than a causal effect.
{"title":"Maternal Depression and Physical Health of Under-Five Children in Turkey.","authors":"Gokben Aydilek, Deniz Karaoğlan","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Background: </strong>Maternal depression is the most prevalent mental health problem worldwide, especially in low- and middle-income countries. It impairs the cognitive, physical, and social abilities of mothers and disturbs effective parenting practices. Therefore, the consequences of mental, physical, and social suffering are not limited to the mother herself but are transmitted to future generations by negatively affecting the child's health.</p><p><strong>Aim of the study: </strong>This study aims to analyse the relationship between maternal depression and child's physical health in Turkey, a middle-income, developing country.</p><p><strong>Methods: </strong>By using the 2019 round of the \"Turkish Health Survey\" dataset prepared by the Turkish Statistical Institute (TurkStat), we focus on the general health status, anaemia prevalence, morbidity of acute respiratory infections (ARI) and diarrhoea along with other common short-term childhood illnesses among under-five children. Maternal depression is assessed by the standardised eight-item version of the Patient Health Questionnaire (PHQ-8). We employ a linear probability model to examine the relationship between maternal depression and the physical health of under-five children. In addition, we investigate the potential protective role of maternal education against the detrimental effects of maternal depression on child health. Since we are simultaneously analysing several outcome measures, in order to avoid any Type I error, we use the novel Romano-Wolf multiple hypothesis testing method.</p><p><strong>Results: </strong>We find that children whose mothers suffer from mild to severe depression are at a 12 percentage points higher risk of contracting infectious diseases. Similarly, the total number of non-chronic illnesses a child falls victim to increases by one-third if the mother portrays depressive symptoms. In addition, our results suggest that completing at least high school reduces the burdens of maternal depression on children's physical health by 8 percentage points.</p><p><strong>Discussion: </strong>Considering both the individual and societal burden of infectious disease prevalence, we conclude that the development of worldwide policies and initiatives aimed at decreasing maternal depression as much as increasing maternal education is essential for safeguarding the rights of both women and children, especially in developing countries.</p><p><strong>Limitations of the study: </strong>The findings of this research provide a linear association between maternal mental health and under-five child's physical health, rather than a causal effect.</p>","PeriodicalId":46381,"journal":{"name":"Journal of Mental Health Policy and Economics","volume":"27 2","pages":"47-58"},"PeriodicalIF":1.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141433056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}