Evidence map›Paper›PMID 40538253›Full record

ArticleActa neuropsychiatrica2025

Sex differences in the network structures of depressive symptom profiles in Asian patients with depressive disorders: findings from the Research on Asian Psychotropic Patterns for Antidepressants, Phase 3.

Han Seul Kim, Seonjae Lee, Jeongha Lee, Tae Young Choi, Sung-Won Jung, Hyung-Jun Yoon, Hyun Soo Kim, Yangsik Kim, Hyun-Ju Yang, Narae Jeong and 18 more

Abstract read
In one paragraph

Article in Acta neuropsychiatrica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

28 authors.

Han Seul KimDepartment of Psychiatry, Hanyang University Medical Centre, Seoul, Republic of Korea.
Seonjae LeeDepartment of Psychiatry, Hanyang University Medical Centre, Seoul, Republic of Korea.
Jeongha LeeDepartment of Psychiatry, Hanyang University Medical Centre, Seoul, Republic of Korea.
Tae Young ChoiDepartment of Psychiatry, Catholic University of Daegu School of Medicine, Daegu, Republic of Korea.
Sung-Won JungDepartment of Psychiatry, Keimyung University Dongsan Hospital, Daegu, Republic of Korea.
Hyung-Jun YoonDepartment of Psychiatry, Chosun University Hospital, Gwangju, Republic of Korea.
Hyun Soo KimDepartment of Psychiatry, College of Medicine, Dong-A University, Busan, Republic of Korea.
Yangsik KimDepartment of Psychiatry, Inha University Hospital, College of Medicine, Inha University, Incheon, Republic of Korea.
Hyun-Ju YangDepartment of Psychiatry, Jeju National University College of Medicine, Jeju, Republic of Korea.
Narae JeongDepartment of Psychology, College of Social Sciences, Daegu University, Gyeongsan, Republic of Korea.
Eunsoo MoonDepartment of Psychiatry, Pusan National University School of Medicine, Yangsan, Republic of Korea.
Daeho KimDepartment of Psychiatry, Hanyang University Guri Hospital, Guri, Republic of Korea.
Tian-Mei SiPeking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Centre for Mental Disorders (Peking University Sixth Hospital), Beijing, China.ORCID https://orcid.org/0000-0001-9823-2720
Roy Abraham KallivayalilPushpagiri Institute of Medical Sciences and Research Centre, Thiruvalla and Mar Sleeva Medicity, Palai, Kerala, India.
Andi J TanraDepartment of Psychiatry, Faculty of Medicine, Hasanuddin University, Makassar, Indonesia.
Amir Hossein Jalali NadoushanMental Health Research Centre, Psychosocial Health Research Institute, Department of Psychiatry, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Kok Yoon CheeDepartment of Psychiatry & Mental Health, Tunku Abdul Rahman Institute of Neurosciences, Kuala Lumpur Hospital, Kuala Lumpur, Malaysia.
Afzal JavedPakistan Psychiatric Research Centre, Fountain House, Lahore, Pakistan.
Kang SimBuangkok Green Medical Park, Institute of Mental Health, Singapore, Singapore.
Pornjira PariwatcharakulDepartment of Psychiatry, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Mian-Yoon ChongRegency Specialist Hospital, Johor, Malaysia.
Toshiya InadaDepartment of Psychiatry, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan.
Shih-Ku LinDepartment of Psychiatry, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Norman SartoriusAssociation for the Improvement of Mental Health Programs, Geneva, Switzerland.
Naotaka ShinfukuSchool of Human Sciences, Seinan Gakuin University, Fukuoka, Japan.
Takahiro A KatoDepartment of Psychiatry, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Jae-Hon LeeDepartment of Psychiatry, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.
Seon-Cheol ParkDepartment of Psychiatry, Hanyang University Guri Hospital, Guri, Republic of Korea.ORCID https://orcid.org/0000-0003-3691-4624

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is a complex mental health disorder with highly heterogeneous symptoms that vary significantly across individuals, influenced by various factors, including sex and regional contexts. Network analysis is an analytical method that provides a robust framework for evaluating the heterogeneity of depressive symptoms and identifying their potential clinical implications.

objectiveTo investigate sex-specific differences in the network structures of depressive symptoms in Asian patients diagnosed with depressive disorders, using data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, Phase 3, which was conducted in 2023.

methodsA network analysis of 10 depressive symptoms defined according to the National Institute for Health and Care Excellence guidelines was performed. The sex-specific differences in the network structures of the depressive symptoms were examined using the Network Comparison Test. Subgroup analysis of the sex-specific differences in the network structures was performed according to geographical region classifications, including East Asia, Southeast Asia, and South or West Asia.

resultsA total of 998 men and 1,915 women with depression were analysed in this study. The analyses showed that all 10 depressive symptoms were grouped into a single cluster. Low self-confidence and loss of interest emerged as the most central nodes for men and women, respectively. In addition, a significant difference in global strength invariance was observed between the networks. In the regional subgroup analysis, only East Asian men showed two distinct clustering patterns. In addition, significant differences in global strength and network structure were observed only between East Asian men and women.

conclusionThe study highlights the sex-specific differences in depressive symptom networks across Asian countries. The results revealed that low self-confidence and loss of interest are the main symptoms of depression in Asian men and women, respectively. The network connections were more localised in men, whereas women showed a more diverse network. Among the Asian subgroups analysed, only East Asians exhibited significant differences in network structure. The considerable effects of neurovegetative symptoms in men may indicate potential neurobiological underpinnings of depression in the East Asian population.

Indexed as

Antidepressive AgentsDepressionDepressive DisorderAdultAsiaAsian PeopleFemaleHumansMaleMiddle AgedSex CharacteristicsSex FactorsAntidepressive AgentsAsian populationDepressive disordersdepressive symptomsnetwork analysissex differences

Identifiers

PMID40538253
PMCPMC13130287

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