1
|
Amin S. Globalisation and mental health: is globalisation good or bad for mental health? Testing for quadratic effects. HEALTH ECONOMICS, POLICY, AND LAW 2024; 19:119-150. [PMID: 38047425 DOI: 10.1017/s1744133123000294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
This paper explores the relationship between globalisation and mental health by using the global dataset of high-, middle-, and low-income countries for the period 1970-2020. Although the consequences of globalisation on general health have been extensively studied, limited attention has been paid to investigating the implications on mental health. To show robustness, globalisation has been divided into three main dimensions such as economic globalisation, political globalisation, and social globalisation while, mental health has been classified through various indicators, i.e., mental disorder, anxiety disorder, and depressive disorder. The study used panel fixed effect techniques to demonstrate the quadratic effects of globalisation on mental health. A U-shaped curve relationship between globalisation (including economic, political, and political globalisation) and mental disorders, anxiety disorders, and depressive disorders was identified. However, findings also indicate an inverted U-shaped curve relationship between globalisation and mental health for high-income countries and a U-shaped curve relationship for middle- and low-income countries. Prioritizing mental health is crucial for overall well-being and productivity. Furthermore, a comprehensive policy implementation is strongly recommended to protect societies from mental distress when a country plans to expand globalisation worldwide.
Collapse
Affiliation(s)
- Saqib Amin
- The Department of Economics, Accounting and Finance, Oulu Business School, University of Oulu, P.O. Box 4600, Oulu, FIN-90014, Finland
| |
Collapse
|
2
|
Gong Y, Liu X, Zheng Y, Mei H, Que J, Yuan K, Yan W, Shi L, Meng S, Bao Y, Lu L. COVID-19 Induced Economic Slowdown and Mental Health Issues. Front Psychol 2022; 13:777350. [PMID: 35310204 PMCID: PMC8931846 DOI: 10.3389/fpsyg.2022.777350] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 02/09/2022] [Indexed: 11/21/2022] Open
Abstract
The COVID-19 pandemic has pressed a pause button on global economic development, and induced significant mental health problems. In order to demonstrate the progressed relationship between the pandemic, economic slowdown, and mental health burden, we overviewed the global-level gross domestic product changes and mental problems variation since the outbreak of COVID-19, and reviewed comprehensively the specific sectors influenced by the pandemic, including international trade, worldwide travel, education system, healthcare system, and individual employment. We hope to provide timely evidence to help with the promotion of policymakers’ effective strategies in mitigating economic losses induced by the pandemic; we suggest different governments or policy makers in different countries to share information and experience in dealing with COVID-19-induced economic slowdown and promote COVID-19 vaccine popularization plan to protect every individual worldwide against the coronavirus essentially; and we appeal international information share and collaboration to minimize stigmatization related to adverse mental consequences of COVID-19 and to increase mental health wellbeings of people all over the world.
Collapse
Affiliation(s)
- Yimiao Gong
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
- Peking-Tsinghua Centre for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Xiaoxing Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yongbo Zheng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
- Peking-Tsinghua Centre for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Huan Mei
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
- School of Public Health, Peking University, Beijing, China
| | - Jianyu Que
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Kai Yuan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Wei Yan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Le Shi
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Shiqiu Meng
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
- *Correspondence: Shiqiu Meng,
| | - Yanping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
- School of Public Health, Peking University, Beijing, China
- Yanping Bao,
| | - Lin Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
- Peking-Tsinghua Centre for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
- Lin Lu,
| |
Collapse
|
3
|
Remes O, Mendes JF, Templeton P. Biological, Psychological, and Social Determinants of Depression: A Review of Recent Literature. Brain Sci 2021; 11:1633. [PMID: 34942936 PMCID: PMC8699555 DOI: 10.3390/brainsci11121633] [Citation(s) in RCA: 72] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 11/08/2021] [Accepted: 11/12/2021] [Indexed: 12/15/2022] Open
Abstract
Depression is one of the leading causes of disability, and, if left unmanaged, it can increase the risk for suicide. The evidence base on the determinants of depression is fragmented, which makes the interpretation of the results across studies difficult. The objective of this study is to conduct a thorough synthesis of the literature assessing the biological, psychological, and social determinants of depression in order to piece together the puzzle of the key factors that are related to this condition. Titles and abstracts published between 2017 and 2020 were identified in PubMed, as well as Medline, Scopus, and PsycInfo. Key words relating to biological, social, and psychological determinants as well as depression were applied to the databases, and the screening and data charting of the documents took place. We included 470 documents in this literature review. The findings showed that there are a plethora of risk and protective factors (relating to biological, psychological, and social determinants) that are related to depression; these determinants are interlinked and influence depression outcomes through a web of causation. In this paper, we describe and present the vast, fragmented, and complex literature related to this topic. This review may be used to guide practice, public health efforts, policy, and research related to mental health and, specifically, depression.
Collapse
Affiliation(s)
- Olivia Remes
- Institute for Manufacturing, University of Cambridge, Cambridge CB3 0FS, UK
| | | | - Peter Templeton
- IfM Engage Limited, Institute for Manufacturing, University of Cambridge, Cambridge CB3 0FS, UK;
- The William Templeton Foundation for Young People’s Mental Health (YPMH), Cambridge CB2 0AH, UK
| |
Collapse
|
4
|
Bai R, Dong W, Liu J, Peng Q, Lyu J. Trends in Under-5 Mortality Rates and Their Associations with Socioeconomic Factors Among Countries Participating in the Belt and Road Initiative: A Panel Data Analysis. Int J Gen Med 2021; 14:7763-7773. [PMID: 34785934 PMCID: PMC8579877 DOI: 10.2147/ijgm.s332926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 09/30/2021] [Indexed: 11/30/2022] Open
Abstract
Purpose The Belt and Road Initiative (BRI) provided a platform to promote trade and economic collaboration, with health promotion also being an important component. This study examined the burden of the under-5 mortality rate (U5MR) among BRI countries and studied the impact of socioeconomic development on the U5MR. Patients and Methods Data were collected from 137 BRI countries for the period 2000–2018. The temporal changes in the U5MR and the estimated annual percentage change (EAPC) were used to assess the U5MR burden. A quantile fixed-effects model was used to access the associations between socioeconomic factors and the U5MR. Results The U5MR varied widely among the 137 analyzed countries in 2018, being highest in Somalia (121.5 per 1000) and lowest in Slovenia (2.1 per 1000). The decreasing trend in U5MR was largest in Montenegro (EAPC = –9.6, 95% confidence interval [CI] = –10.2 to –9.0), while the increasing trend was largest in Dominica (EAPC = 6.0, 95% CI = 5.3 to 6.7). Countries with higher U5MRs in 2000 experienced more rapid decreases in the U5MR from 2000 to 2018. The influence of socioeconomic factors on U5MR was related to the distribution of U5MR. Conclusion The U5MR remains a major public-health issue in some BRI countries. Improving the economic situation will benefit child health in BRI countries in the long run.
Collapse
Affiliation(s)
- Ruhai Bai
- School of Public Affairs, Nanjing University of Science and Technology, Nanjing, People's Republic of China
| | - Wanyue Dong
- School of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, People's Republic of China
| | - Jinli Liu
- Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Qiao Peng
- Health Science Center, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, People's Republic of China
| |
Collapse
|