TY - JOUR
T1 - Sex differences in the network structures of depressive symptom profiles in Asian patients with depressive disorders
T2 - findings from the Research on Asian Psychotropic Patterns for Antidepressants, Phase 3
AU - Kim, Han Seul
AU - Lee, Seonjae
AU - Lee, Jeongha
AU - Choi, Tae Young
AU - Jung, Sung Won
AU - Yoon, Hyung Jun
AU - Kim, Hyun Soo
AU - Kim, Yangsik
AU - Yang, Hyun Ju
AU - Jeong, Narae
AU - Moon, Eunsoo
AU - Kim, Daeho
AU - Si, Tian Mei
AU - Kallivayalil, Roy Abraham
AU - Tanra, Andi J.
AU - Nadoushan, Amir Hossein Jalali
AU - Chee, Kok Yoon
AU - Javed, Afzal
AU - Sim, Kang
AU - Pariwatcharakul, Pornjira
AU - Chong, Mian Yoon
AU - Inada, Toshiya
AU - Lin, Shih Ku
AU - Sartorius, Norman
AU - Shinfuku, Naotaka
AU - Kato, Takahiro A.
AU - Lee, Jae Hon
AU - Park, Seon Cheol
N1 - Publisher Copyright:
© The Author(s), 2025. Published by Cambridge University Press on behalf of Scandinavian College of Neuropsychopharmacology.
PY - 2025/6/20
Y1 - 2025/6/20
N2 - Background: Depression 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. Objective: To 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. Methods: A 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. Results: A 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. Conclusion: The 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.
AB - Background: Depression 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. Objective: To 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. Methods: A 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. Results: A 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. Conclusion: The 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.
KW - Asian population
KW - Depressive disorders
KW - depressive symptoms
KW - network analysis
KW - sex differences
UR - https://www.scopus.com/pages/publications/105009055236
U2 - 10.1017/neu.2025.10020
DO - 10.1017/neu.2025.10020
M3 - Article
AN - SCOPUS:105009055236
SN - 0924-2708
VL - 37
JO - Acta Neuropsychiatrica
JF - Acta Neuropsychiatrica
M1 - e70
ER -