ArticlePloS one2020
Gender, income and mental health: The Turkish case.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Examining the mental health services among people with mental disorders: a literature review.BMC psychiatry · 2024Pooled it
- Mental Health and Mental Health Care in Iran: Addressing Social Inequalities.Healthcare (Basel, Switzerland) · 2025Review
- Evolving trends in psychiatric emergency services in Southern China: a seven-year retrospective analysis.International journal of emergency medicine · 2025Article
- A structural equation model of parenting and child's resilience after the earthquake in Türkiye.Family process · 2025Article
- Deciphering the mechanism of women's mental health: a perspective of urban-rural differences.Frontiers in public health · 2025Article
- Social anxiety, self-esteem and quality of life among hypertensive patients during COVID-19 local epidemic in China: A mediation analysis.Nursing open · 2024Article
- Factors associated with adverse mental health outcomes during the COVID-19 pandemic.Public health in practice (Oxford, England) · 2023Article
- Burnout in primary healthcare physicians and nurses in Turkey during COVID-19 pandemic.Primary health care research & development · 2023Article
- Exploring the relationship between mental health and dialect use among Chinese older adults: a moderated mediation estimation.Frontiers in psychology · 2023Article
- Gender Differences in Psychological Stress Factors of Physical Therapy Degree Students in the COVID-19 Pandemic: A Cross-Sectional Study.International journal of environmental research and public health · 2022Article
- Mental wellbeing and perception of health in the era of COVID-19 pandemic: A cross-sectional study in the general population.Perspectives in psychiatric care · 2022Article
- Individual-level determinants of depressive symptoms and associated diseases history in Turkish persons aged 15 years and older: A population-based study.Frontiers in psychiatry · 2022Article
- Anxiety, depression, and somatic symptom disorders in health care workers at high altitude during the rapid spread of the SARS-CoV-2 Omicron variant: A prospective cohort study.Frontiers in psychiatry · 2022Article
- Psychological Responses According to Gender during the Early Stage of COVID-19 in Spain.International journal of environmental research and public health · 2021Article
- Depression Levels of State Functionaries: Empirical Evidence From China.Frontiers in psychiatry · 2021Article
- Protective and Risk Factors for Medical and Nursing Staff Suffering From Psychological Symptoms During COVID-19.Frontiers in psychology · 2021Article
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1 author.
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Abstract
Gender gaps in health outcomes are frequently observed. Mental health disorders also display gender differences in various countries. This paper explores gender differences in mental health outcomes of individuals in Turkey. It aims to deliver additional evidence on associations between gender, income and mental health status by providing an empirical analysis from a developing country, Turkey. This study employs a nationally representative data set from Turkish Health Survey of 2016. It constructs an index for mental health at individual level by using polychoric principal component analysis. Conditional mixed process models are estimated for quantification of associations between gender, income and mental health measures. Empirical findings indicate that there is endogenous and positive relationship between household income level and mental health status of individuals in Turkey. Turkish females report lower mental health statuses than Turkish males. Furthermore, females are more likely to use mental health services in Turkey. Gender gaps in both mental health status and mental health service use are present in the Turkish case. Results of this study imply that mental health policies should avoid applying one-fit-all approaches.
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