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      Insomnia and Alexithymia in Chinese Adolescents with Major Depressive Disorder: A Cross-Sectional Study of Sex Differences and Associations

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          Abstract

          Purpose

          Insomnia is related to alexithymia in adults, but the relationship between insomnia and alexithymia in adolescents with major depressive disorder remains unclear. This study aimed to investigate the sex differences and the association between insomnia and alexithymia in adolescents with major depressive disorder.

          Patients and Methods

          From October 2020 to April 2022, adolescent patients with major depressive disorder were recruited from psychiatric departments of seven hospitals in Anhui Province, China. Their general demographic and clinical information were collected. The 20-item Toronto Alexithymia Scale, the Center for Epidemiologic Studies of Depression Scale, and the Insomnia Severity Index Scale were used to assess their alexithymia, depression, and insomnia symptoms, respectively. The analysis of variance (ANOVA), Student’s t-test and Mann–Whitney U-test were used for continuous variables and chi-square tests for categorical variables. Pearson’s correlation analysis and Spearman correlation analysis were used to examine the correlation between ISI and demographic and clinical variables. Multiple binary logistic regression analyses with the “Enter” method were carried out to explore the correlations of insomnia.

          Results

          The prevalence of insomnia in female adolescent patients was similar to that of male patients (χ 2=1.84, p = 0.175). Compared with those without insomnia, patients with insomnia had worse family relationships (F = 7.71, p = 0.021), perceived heavier academic stress (F = 6.32, p = 0.012), more likely to take sedative-hypnotics (F = 5.51, p = 0.019), had higher levels of depression (F = 81.57, p < 0.001) and alexithymia (F = 28.57, p < 0.001). Correlation analysis showed that alexithymia was significantly associated with insomnia in adolescent patients (r = 0.360, p < 0.01). Binary logistic regression analyses showed that, alexithymia was significantly associated with insomnia in female patients (OR = 1.050, p < 0.05) but not male patients.

          Conclusion

          In female adolescent patients, alexithymia is a risk factor of insomnia, which is of great importance in the understanding of the psychopathological mechanisms, treatments and psychological interventions of insomnia in adolescents with major depressive disorder.

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          Most cited references65

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          The CES-D Scale: A Self-Report Depression Scale for Research in the General Population

          L Radloff (1977)
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            Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

            Summary Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017) includes a comprehensive assessment of incidence, prevalence, and years lived with disability (YLDs) for 354 causes in 195 countries and territories from 1990 to 2017. Previous GBD studies have shown how the decline of mortality rates from 1990 to 2016 has led to an increase in life expectancy, an ageing global population, and an expansion of the non-fatal burden of disease and injury. These studies have also shown how a substantial portion of the world's population experiences non-fatal health loss with considerable heterogeneity among different causes, locations, ages, and sexes. Ongoing objectives of the GBD study include increasing the level of estimation detail, improving analytical strategies, and increasing the amount of high-quality data. Methods We estimated incidence and prevalence for 354 diseases and injuries and 3484 sequelae. We used an updated and extensive body of literature studies, survey data, surveillance data, inpatient admission records, outpatient visit records, and health insurance claims, and additionally used results from cause of death models to inform estimates using a total of 68 781 data sources. Newly available clinical data from India, Iran, Japan, Jordan, Nepal, China, Brazil, Norway, and Italy were incorporated, as well as updated claims data from the USA and new claims data from Taiwan (province of China) and Singapore. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between rates of incidence, prevalence, remission, and cause of death for each condition. YLDs were estimated as the product of a prevalence estimate and a disability weight for health states of each mutually exclusive sequela, adjusted for comorbidity. We updated the Socio-demographic Index (SDI), a summary development indicator of income per capita, years of schooling, and total fertility rate. Additionally, we calculated differences between male and female YLDs to identify divergent trends across sexes. GBD 2017 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting. Findings Globally, for females, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and haemoglobinopathies and haemolytic anaemias in both 1990 and 2017. For males, the causes with the greatest age-standardised prevalence were oral disorders, headache disorders, and tuberculosis including latent tuberculosis infection in both 1990 and 2017. In terms of YLDs, low back pain, headache disorders, and dietary iron deficiency were the leading Level 3 causes of YLD counts in 1990, whereas low back pain, headache disorders, and depressive disorders were the leading causes in 2017 for both sexes combined. All-cause age-standardised YLD rates decreased by 3·9% (95% uncertainty interval [UI] 3·1–4·6) from 1990 to 2017; however, the all-age YLD rate increased by 7·2% (6·0–8·4) while the total sum of global YLDs increased from 562 million (421–723) to 853 million (642–1100). The increases for males and females were similar, with increases in all-age YLD rates of 7·9% (6·6–9·2) for males and 6·5% (5·4–7·7) for females. We found significant differences between males and females in terms of age-standardised prevalence estimates for multiple causes. The causes with the greatest relative differences between sexes in 2017 included substance use disorders (3018 cases [95% UI 2782–3252] per 100 000 in males vs s1400 [1279–1524] per 100 000 in females), transport injuries (3322 [3082–3583] vs 2336 [2154–2535]), and self-harm and interpersonal violence (3265 [2943–3630] vs 5643 [5057–6302]). Interpretation Global all-cause age-standardised YLD rates have improved only slightly over a period spanning nearly three decades. However, the magnitude of the non-fatal disease burden has expanded globally, with increasing numbers of people who have a wide spectrum of conditions. A subset of conditions has remained globally pervasive since 1990, whereas other conditions have displayed more dynamic trends, with different ages, sexes, and geographies across the globe experiencing varying burdens and trends of health loss. This study emphasises how global improvements in premature mortality for select conditions have led to older populations with complex and potentially expensive diseases, yet also highlights global achievements in certain domains of disease and injury. Funding Bill & Melinda Gates Foundation.
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              Statistical Power Analysis for the Behavioral Sciences

              <i>Statistical Power Analysis</i> is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: <br> * a chapter covering power analysis in set correlation and multivariate methods;<br> * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and;<br> * expanded power and sample size tables for multiple regression/correlation.<br>
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                Author and article information

                Journal
                Psychol Res Behav Manag
                Psychol Res Behav Manag
                prbm
                Psychology Research and Behavior Management
                Dove
                1179-1578
                20 February 2024
                2024
                : 17
                : 615-625
                Affiliations
                [1 ]Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University , Hefei, Anhui Province, People's Republic of China
                [2 ]Department of Psychiatry, Chaohu Hospital of Anhui Medical University , Hefei, Anhui Province, People’s Republic of China
                [3 ]Anhui Psychiatric Center, Anhui Medical University , Hefei, Anhui Province, People’s Republic of China
                Author notes
                Correspondence: Huanzhong Liu, Department of Psychiatry, Chaohu Hospital of Anhui Medical University , Hefei, Anhui Province, People’s Republic of China, Tel +86-551-82324616, Fax +86-551-82324252, Email huanzhongliu@ahmu.edu.cn
                Author information
                http://orcid.org/0009-0003-4191-3623
                Article
                446788
                10.2147/PRBM.S446788
                10893783
                38404923
                2e004d39-c29c-41d1-9cd7-0c3c96137e62
                © 2024 Yang et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 26 October 2023
                : 29 January 2024
                Page count
                Figures: 0, Tables: 5, References: 65, Pages: 11
                Funding
                Funded by: National Key Clinical Specialty Project Foundation (CN);
                Funded by: Research Fund Project of Anhui Translational Research Institute;
                This study was supported by the National Key Clinical Specialty Project Foundation (CN) and the Research Fund Project of Anhui Translational Research Institute (No. 2022zhyx-B01).
                Categories
                Original Research

                Clinical Psychology & Psychiatry
                adolescents,major depressive disorder,insomnia,alexithymia
                Clinical Psychology & Psychiatry
                adolescents, major depressive disorder, insomnia, alexithymia

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