Investigation of time-dependent risk of mental disorders after infertility diagnosis, through survival analysis and data mining: a nationwide cohort study

Jong Yi Wang, Jen-De Chen, Chun Chi Huang, Chiu Shong Liu, Tsai Fang Chung, Ming Hong Hsieh, Chia Woei Wang

Research output: Contribution to journalArticle

Abstract

Objectives: Infertile patients are vulnerable to mental disorders. However, a time-dependent model predicting the onset of mental disorders specific to infertile patients is lacking. This study examined the risk factors for the development of mental disorders in infertile patients and measured the duration until the occurrence of mental disorders after a diagnosis of infertility. Methods: A total of 13,317 infertile patients in the 2002–2013 Taiwan National Health Insurance Research Database were observed. The 11 independent variables included in the hypothesised model, together with the dates of infertility and mental disorder diagnoses, were analysed using Cox proportional hazards. Data-mining methods using C5.0 and Apriori supplemented the statistical analyses. Results: The total prevalence rate of mental disorders among infertile patients in Taiwan was 12.41%, including anxiety (4.66%), depression (1.81%) and other mental disorders (5.94%). The average time interval for onset of mental illness identified using survival analysis was 1.67 years. Income, occupation, treatment method, co-morbidity, region and hospital level and ownership were significant predictors of development of mental illness (all p <.05). Conclusions: The four categories of factors associated with time-dependent onset were demographics, health, health care provider and geographical characteristics. Certain patient characteristics may predict a higher likelihood of onset of a specific mental disorder. Clinical practitioners may use the findings to identify high-risk patients and make timely health interventions.

Original languageEnglish
Pages (from-to)218-226
Number of pages9
JournalEuropean Journal of Contraception and Reproductive Health Care
Volume23
Issue number3
DOIs
Publication statusPublished - 2018 May 4

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Data Mining
Survival Analysis
Mental Disorders
Infertility
Cohort Studies
Taiwan
Ownership
Health
National Health Programs
Occupations
Health Personnel
Anxiety
Demography
Databases
Depression
Morbidity
Research

All Science Journal Classification (ASJC) codes

  • Reproductive Medicine
  • Obstetrics and Gynaecology
  • Pharmacology (medical)

Cite this

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title = "Investigation of time-dependent risk of mental disorders after infertility diagnosis, through survival analysis and data mining: a nationwide cohort study",
abstract = "Objectives: Infertile patients are vulnerable to mental disorders. However, a time-dependent model predicting the onset of mental disorders specific to infertile patients is lacking. This study examined the risk factors for the development of mental disorders in infertile patients and measured the duration until the occurrence of mental disorders after a diagnosis of infertility. Methods: A total of 13,317 infertile patients in the 2002–2013 Taiwan National Health Insurance Research Database were observed. The 11 independent variables included in the hypothesised model, together with the dates of infertility and mental disorder diagnoses, were analysed using Cox proportional hazards. Data-mining methods using C5.0 and Apriori supplemented the statistical analyses. Results: The total prevalence rate of mental disorders among infertile patients in Taiwan was 12.41{\%}, including anxiety (4.66{\%}), depression (1.81{\%}) and other mental disorders (5.94{\%}). The average time interval for onset of mental illness identified using survival analysis was 1.67 years. Income, occupation, treatment method, co-morbidity, region and hospital level and ownership were significant predictors of development of mental illness (all p <.05). Conclusions: The four categories of factors associated with time-dependent onset were demographics, health, health care provider and geographical characteristics. Certain patient characteristics may predict a higher likelihood of onset of a specific mental disorder. Clinical practitioners may use the findings to identify high-risk patients and make timely health interventions.",
author = "Wang, {Jong Yi} and Jen-De Chen and Huang, {Chun Chi} and Liu, {Chiu Shong} and Chung, {Tsai Fang} and Hsieh, {Ming Hong} and Wang, {Chia Woei}",
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Investigation of time-dependent risk of mental disorders after infertility diagnosis, through survival analysis and data mining : a nationwide cohort study. / Wang, Jong Yi; Chen, Jen-De; Huang, Chun Chi; Liu, Chiu Shong; Chung, Tsai Fang; Hsieh, Ming Hong; Wang, Chia Woei.

In: European Journal of Contraception and Reproductive Health Care, Vol. 23, No. 3, 04.05.2018, p. 218-226.

Research output: Contribution to journalArticle

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T1 - Investigation of time-dependent risk of mental disorders after infertility diagnosis, through survival analysis and data mining

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AU - Wang, Jong Yi

AU - Chen, Jen-De

AU - Huang, Chun Chi

AU - Liu, Chiu Shong

AU - Chung, Tsai Fang

AU - Hsieh, Ming Hong

AU - Wang, Chia Woei

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