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Risk of major mental disorders in the offspring of parents with migraine

Annals of General Psychiatry volume 23, Article number: 23 (2024) Cite this article

Abstract

Background

Migraine has been associated with mental disorders, however whether parental migraine is associated with an increased risk of major mental disorders (MMDs) in offspring has not been investigated. We aimed to examine the risk of the development of MMDs in the offspring of parents with migraine compared with those of parents without migraine.

Methods

This study used data derived from the Taiwan National Health Insurance Research Database. Offspring of parents with migraine and a control group consisting of offspring of parents without migraine matched for demographic and parental mental disorders were included. Cox regression was used to estimate the risk of MMDs, including schizophrenia, depressive disorder, bipolar disorder, autistic spectrum disorder (ASD), and attention deficit/hyperactivity disorder (ADHD). Sub-analyses stratified by the fathers and mothers were further performed to separately clarify the risks of MMDs among the offspring.

Results

We included 22,747 offspring of parents with migraine and 227,470 offspring of parents without migraine as the controls. Parental migraine was significantly associated with an increased risk of ADHD (reported as hazard ratios with 95% confidence intervals: 1.37, 1.25–1.50), bipolar disorder (1.35, 1.06–1.71), and depressive disorder (1.33, 1.21–1.47) compared to the offspring of parents without migraine. Importantly, sub-analyses showed that only maternal migraine was significantly associated with these risks.

Conclusions

Due to the heavy burden of MMDs, healthcare workers should be aware of the risk of MMDs in the offspring of parents with migraine, particular in mothers.

Introduction

Characteristics of migraine

Migraine is a common headache disorder caused by increased excitability of the central nervous system, and it is a major cause of disability [1]. Migraine and other headaches account for about 3% of all emergency department visits annually in the US and they are the fourth leading reason for hospital visits [2]. Migraine is characterized as a unilateral pulsating headache accompanied with aural symptoms including nausea, vomiting, photophobia, and phonophobia [3]. The prevalence of migraine varies among races, with reported rates of 15.4% in non-Hispanic White, 10.7% in Asian, and 15.7% in Black populations [4]. One in six individuals in the US are affected by migraines [2]. Importantly, migraine is associated with multiple burdens which can affect the quality of life and social function [5, 6]. For example, a previous study reported that migraine was associated with heavy disability, economic impact, psychiatric comorbidities, and health care resource utilization [7]. Due to this heavy burden associated with migraine, further research regarding the comorbidities may be beneficial to better understand the etiologies.

Associations between migraine and mental illness

Previous studies have investigated the association between migraine and mental health problems [7], including depression, anxiety, bipolar disorder, posttraumatic stress disorder, personality disorders, and even suicide attempts [8]. A population-based cohort study in Canada reported that depressive disorder, bipolar disorder, social phobia, and anxiety-related disorders were at least twice as prevalent in people with migraine compared with controls after adjusting for demographic and socioeconomic variables [9]. Moreover, previous studies have reported a bidirectional relationship between migraine and sleep disorder [10, 11]. In addition to common adult mental disorders, a positive association between attention deficit/hyperactivity disorder (ADHD) and migraine has also been reported [12, 13]. Several possible theories have been proposed to explain the association between migraine and mental disorders, including shared biological factors [14]. Evidence suggests an association between the dopamine D2 receptor genotype with migraine, depressive disorder, generalized anxiety disorder, phobia, and panic attacks [15]. The association between ADHD and migraine has been associated with dopaminergic dysfunction, GABAergic dysfunction, and shared genetic factors [16, 17]. In addition, serotonin receptors, serotonin transporters, and catecholamines have also been implicated in migraine and various mental disorders [18, 19]. Considering the complicated etiologies and poor prognosis of patients with migraine and mental illness [20, 21], clinicians should be aware about this comorbidity.

Aim of the current study

Since previous research has demonstrated genetic effects on migraine and mental illness [22, 23], we were interested in exploring the association between migraine in parents and the subsequent development of major mental disorders (MMDs) in their offspring. Considering the heavy burden caused by migraine and mental illness, exploring this association between parental migraine and MMDs among offspring for the early detection and interventions for possible subsequent MMDs is an important issue. A nationwide registration study reported that parental migraine, even in the absence of parental bipolar disorder, was a risk factor for the development of bipolar disorder among offspring [24]. However, no further studies have investigated the association between parental migraine and the risk of MMDs in their offspring, or whether there are differences in such an association between fathers and mothers. Given this knowledge gap, we aimed to investigate the association between parental migraine and the risk of MMDs among their offspring using a population-based cohort study. We hypothesized that parental migraine may be associated with the risk of the subsequent development of MMDs among their offspring, and that this risk may differ between paternal and maternal migraine.

Methods

Data source

The Taiwan National Health Research Institute audits and releases the Taiwan National Health Insurance Research Database (NHIRD) for scientific studies [25, 26]. The Taiwan NHIRD comprises comprehensive healthcare data of > 99.7% of the population in Taiwan, including demographic data, clinical visit dates, and disease diagnoses. All insurance claims information is anonymous to maintain privacy. The diagnostic codes used are based on the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM). The NHIRD has been used extensively in many Taiwanese epidemiologic studies [27,28,29,30]. Using Tsai et al.’s and Cheng et al.’s methods, we constructed the familial pedigree, including the parent-child relationship [31, 32]. Only those who can be clearly linked to their parents (fathers and mothers) were included in the analysis of the present study. The study protocol was reviewed and accepted by the Institutional Review Board of Taipei Veterans General Hospital (approval number: TPEVGH-IRB-2018-07-016AC).

Inclusion criteria for the offspring of parents with migraine

Individuals born between 1980 and 2010 who had a parent (either mother or father) with a diagnosis of migraine (ICD-9-CM code: 346) given at least twice by board-certified neurologists and pain specialists were enrolled as the study cohort. A 1:10 age-, sex-, birth date-, residence-, and family income-matched control cohort was randomly identified after eliminating the study cases and those who had parents with migraine anytime in the database. The study and control cohorts were followed from 2001 or the birth date to the end of 2011, and the occurrence of MMDs including autistic spectrum disorder (ASD; ICD-9-CM code: 299), ADHD (ICD-9-CM code: 314), schizophrenia (ICD-9-CM code: 295), bipolar disorder (ICD-9-CM code: 296 except 296.2, 296.3, 296.9, and 296.82), and depressive disorder (ICD-9-CM codes: 296.2, 296.3, 300.4, 311) was recorded. We only selected the first (main) diagnosis of mental disorder as identification of MMDs if patients had multiple comorbidities of mental disorders. Moreover, the initial diagnosis of MMDs would be identified as index diagnosis of MMDs, and the other diagnoses of mental disorder occurred in the future would not be analyzed during the study period. Parental schizophrenia, bipolar disorder, and depressive disorder were also assessed between 2000 and 2011 as confounding factors. The aforementioned MMDs were diagnosed at least twice by board-certified psychiatrists to improve the diagnostic validity. The level of urbanization (level 1 to level 5; level 1: most urbanized region; level 5: least urbanized region) was also recorded [33]. Family income and urbanization were defined by the most recent recording data in the database. The flow chart of study design was listed in the Fig. 1.

Fig. 1
figure 1

Flow chart of the study design

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Statistical analysis

For between-group comparisons, the F test was used for continuous variables and Pearson’s χ2 test for nominal variables, where appropriate. Cox regression analyses with full adjustment of demographic data (age, sex, residence, and income) and parental mental disorders were used to calculate the hazard ratios (HRs) with 95% confidence intervals (CIs) of subsequent MMDs, including ASD, ADHD, schizophrenia, bipolar disorder, and depressive disorder, in the offspring of the parents with migraine compared with those of the parents without migraine. Sub-analyses stratified by fathers and mothers were further performed to separately clarify the risks of subsequent MMDs in the offspring of the fathers and mothers with migraine. The reference group of are offspring of fathers without migraine and offspring of mothers without migraine.

A 2-tailed P-value of less than 0.05 was considered statistically significant. All data processing and statistical analyses were performed using SPSS version 17 (IBM Inc., Armonk, NY) and SAS version 9.1 (SAS Institute, Cary, NC).

Results

Demographic and clinical characteristics

A total of 22,747 offspring of parents with migraine and 227,470 offspring of parents without migraine were included, with mean ages of 8.88 (standard deviation; SD: 6.97) and 8.89 (6.98) years, respectively. The parents with migraine had higher rates of mental comorbidities including schizophrenia (1.1% vs. 0.7%, p < 0.001), bipolar disorder (1.8% vs. 0.7%, p < 0.001), and depressive disorder (7.1% vs. 2.6%, p < 0.001) than the parents without migraine. Regarding the incidence of MMDs, the offspring of parents with migraine had a higher incidence of ADHD (2.4% vs. 1.7%, p < 0.001), bipolar disorder (0.4% vs. 0.2%, p < 0.001), and depressive disorder (2.0% vs. 1.4%, p < 0.001) than the control group. Other details are shown in Table 1.

Table 1 Demographic characteristics and incidence of major mental disorders between the offspring of parents with or without migraine
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Risk of MMDs among the offspring of parents with migraine compared with the controls

After adjusting for age, sex, residence, income, and parental mental comorbidities, the offspring of parents with migraine had a higher risk of ADHD (reported as HR with 95% Cl: 1.37, 1.25–1.50), bipolar disorder (1.35, 1.06–1.71), and depressive disorder (1.33, 1.21–1.47) compared to the control group (Supplementary Table 1). We did not find significant risks for ASD and schizophrenia. In addition, we found that the offspring of mothers with migraine had a higher risk of ADHD (1.43, 1.29–1.59), bipolar disorder (1.41, 1.07–1.87), and depressive disorder (1.46, 1.31–1.63) compared with the control group (Table 2), but again no significant risks were found for ASD or schizophrenia. We also found that the offspring of fathers with migraine did not have significantly higher risks of any MMD compared with the control group (Table 2). These findings are visualized in Fig. 2. In our study, the HRs that were statistically significant between 1.33 and 1.46. Therefore, the log HRs ranged between 0.12 and 0.16, and the values may not be easily understandable. So, we still used the HRs on an arithmetic scale in forest plot.

Table 2 Risks of subsequent major mental disorders between the offspring of parents with or without migraine, stratified by fathers and mothers †
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Fig. 2
figure 2

Risks of subsequent major mental disorders between the offspring of parents with or without migraine†. ADHD: attention deficit hyperactivity disorder; ASD: autism spectrum disorder; HR: hazard ratio; LL: lower limits of 95% confidence interval; UL: upper limits of 95% confidence interval. †: adjusting for demographic data and parental mental comorbidities

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Discussion

Main findings of the current study

In this study, we investigated the association between parental migraine and subsequent MMDs among their offspring. Compared with the offspring of parents without migraine, the risks of subsequent ADHD, bipolar disorder, and depressive disorder were increased in the offspring of parents with migraine. Moreover, these risks were different between the mothers and fathers. We observed that only the offspring of mothers with migraine were associated with significant risks of ADHD, bipolar disorder, and depressive disorder, but not those without migraine. These findings show the unique role of mothers with migraine on the subsequent development of ADHD, bipolar disorder, and depressive disorder in their offspring.

Parental migraine and the occurrence of MMDs among their offspring

Evidence has suggested an association between migraine and mental disorders, and our study further extends this association to a trans-generational effect. Several reasons may explain our findings. First, genetic and heredity factors may contribute to the subsequent development of MMDs among offspring. Some shared susceptibility genes may play a role in familial clustering and elevated comorbidity of migraine and MMDs. For instance, previous genetic studies have indicated a genetic overlap between bipolar disorder and migraine [34, 35]. Therefore, genetic factors may be involved in the trans-generational association of parental migraine with MMDs among their offspring. In addition, twin studies have estimated the heritability of migraine to be about 45%, indicating that genetic factors play a substantial role in the familial transmission of migraine [36]. Another genome-wide association study identified 38 risk loci for migraine [37]. The heredity of migraine from parents to their offspring may also be associated with the subsequent development of MMDs among their offspring, considering the aforementioned association between migraine and MMDs.

Second, environmental factors may also have contributed to our findings. Previous studies have discussed the association between parental migraine and childhood trauma, maltreatment, or impaired wellbeing, and that parental migraine has a negative impact on children, particularly in the domains of global wellbeing and parent/child relationship [38]. Other studies have also reported a great impact on home/family life [39] and the relationship between the parent with migraine and his/her children [40]. Recently, an analysis of data derived from the Chronic Migraine Epidemiology and Outcomes Study showed the impacts of parental migraine on children and adolescents [41]. In that study, adolescents reported that parental migraine disturbed support from their parents, their emotional experiences, school life, and group activities. In addition, mothers with migraine have reported that their children had lower self-esteem and poorer social relationships than the children of mothers without migraine [42], indicating the predominantly psychological burden among children. Furthermore, childhood trauma or maltreatment may give rise to the development of mental health problems. Previous studies have reported an association between childhood trauma or parental maltreatment with an elevated risk of psychosis and mental disorders [43, 44]. With a gene-environment approach, another meta-analysis also demonstrated a potential causal role of childhood maltreatment on depression, schizophrenia and ADHD [45]. Taken together, parental migraine may be associated with childhood maltreatment or a negative impact on the mental health of their offspring, leading to the development of MMDs. On the other hand, a previous study demonstrated that parental depression, antisocial behavior and drug dependence were associated with offspring migraine [46]. This echoes the findings of the current study and highlight the intertwined relationship between migraine and mental illness across generations.

The association between maternal migraine and MMDs in their offspring

Another interesting finding in this study is that only maternal migraine played a predominant role in the subsequent development of MMDs among their offspring. The mother-specific transmission of migraine to their offspring may be a possible cause. A large, population-based cohort study from Norway demonstrated that parental migraine was associated with offspring migraine, with a stronger association for maternal migraine [47]. Another study showed that female sex was a significant risk factor for migraine, and a sex-biased transmission was also observed [48]. This mother-specific transmission of migraine may explain the development of MMDs in their offspring. On the other hand, the unique role of the mother in parenting style may be another factor. A previous study suggested that mothers of Han-Chinese families take the main parenting role, and that they are more supportive and responsive than fathers [49]. Accordingly, we hypothesize that maternal migraine may have a great impact on childhood maltreatment, leading to the development of MMDs. However, further studies are warranted to explore the detailed etiology of maternal migraine and the development of MMDs among their offspring.

Strengths and limitations

We used the NHIRD for the analysis, which had the strengths of coverage and generalizability for Taiwanese’s population. The Taiwan National Health Insurance was established in 1995 to deliver universal coverage for the entire population of Taiwan and is also a compulsory nationwide health insurance system. Every subject in the NHIRD can be followed from the insurance start to the death. This insurance program covered 99.0% of the population by 2004 and more than 99.9% by 2014, and includes almost all medical visits and hospitalizations [50, 51]. Therefore, missing data or detection bias of Taiwanese’s population can be minimal. The current study has several limitations. First, we did not include individuals who did not seek medical care for migraines. These subjects may have taken over-the-counter drugs to relieve their pain, and as such they would not have been recorded in the NHIRD. Second, as the NHIRD is an observational database, it is possible that residual confounding factors remain. However, this naturalistic observation design may demonstrate clinical practice in the real world. Due to the limitation of database, we defined family income and residence based on the most recent recording data. However, family income and residence may change over time. Finally, the risk of the offspring of two parents with migraine was unavailable due to relatively small sample size (n = 19).

Conclusion

In this study, we found a predominant association between parental migraine and the risk of MMDs among their offspring. Moreover, maternal migraine had a greater impact on the development of MMDs among their offspring then paternal migraine. Our study highlights the importance of early identification and intervention for parents with migraine, especially mothers, to prevent the risk of the subsequent development of MMDs among their offspring. Healthcare workers should be aware of parents with migraine due to the possible risk of parenting dysfunction, which may lead to an increased risk of MMDs among their children. On the other hand, the genetic susceptibility in the association between parental migraine and subsequent development of MMDs among offspring also highlight the importance of early detection and psychoeducation for those parents who have migraine. Further neuro-biological studies are necessary to explore the etiology of the association between parental migraine and MMDs among their offspring.

Data availability

No datasets were generated or analysed during the current study.

References

  1. Silberstein SD. Migraine. Lancet. 2004;363(9406):381–91.

    Article  CAS  PubMed  Google Scholar 

  2. Burch R, Rizzoli P, Loder E. The prevalence and impact of migraine and severe headache in the United States: figures and trends from Government Health studies. Headache. 2018;58(4):496–505.

    Article  PubMed  Google Scholar 

  3. Peters GL. Migraine overview and summary of current and emerging treatment options. Am J Manag Care. 2019;25(2 Suppl):S23–34.

    PubMed  Google Scholar 

  4. Tao F. Migraine Prevalence and its differences among races and ethnicities in the United States (2010–2015). University of California, Irvine; 2017.

  5. Bellini B, Arruda M, Cescut A, Saulle C, Persico A, Carotenuto M, Gatta M, Nacinovich R, Piazza FP, Termine C, et al. Headache and comorbidity in children and adolescents. J Headache Pain. 2013;14:79.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Powers SW, Patton SR, Hommel KA, Hershey AD. Quality of life in childhood migraines: clinical impact and comparison to other chronic illnesses. Pediatrics. 2003;112(1 Pt 1):e1–5.

    Article  PubMed  Google Scholar 

  7. Burch RC, Buse DC, Lipton RB. Migraine: epidemiology, burden, and comorbidity. Neurol Clin. 2019;37(4):631–49.

    Article  PubMed  Google Scholar 

  8. Minen MT, De Begasse O, Van Kroon A, Powers S, Schwedt TJ, Lipton R, Silbersweig D. Migraine and its psychiatric comorbidities. J Neurol Neurosurg Psychiatry. 2016;87(7):741–9.

    Article  PubMed  Google Scholar 

  9. Jette N, Patten S, Williams J, Becker W, Wiebe S. Comorbidity of migraine and psychiatric disorders–a national population-based study. Headache. 2008;48(4):501–16.

    Article  PubMed  Google Scholar 

  10. Kelman L, Rains JC. Headache and sleep: examination of sleep patterns and complaints in a large clinical sample of migraineurs. Headache. 2005;45(7):904–10.

    Article  PubMed  Google Scholar 

  11. Pellegrino ABW, Davis-Martin RE, Houle TT, Turner DP, Smitherman TA. Perceived triggers of primary headache disorders: a meta-analysis. Cephalalgia. 2018;38(6):1188–98.

    Article  PubMed  Google Scholar 

  12. Arruda MA, Arruda R, Guidetti V, Bigal ME. ADHD is comorbid to migraine in childhood: a population-based study. J Atten Disord. 2020;24(7):990–1001.

    Article  PubMed  Google Scholar 

  13. Carpenet C, Guichard E, Tzourio C, Kurth T. Self-perceived attention deficit and hyperactivity symptom levels and risk of non-migraine and migraine headaches among university students: a cross-sectional study. Cephalalgia. 2019;39(6):711–21.

    Article  PubMed  Google Scholar 

  14. Radat F, Swendsen J. Psychiatric comorbidity in migraine: a review. Cephalalgia. 2005;25(3):165–78.

    Article  CAS  PubMed  Google Scholar 

  15. Peroutka SJ, Price SC, Wilhoit TL, Jones KW. Comorbid migraine with aura, anxiety, and depression is associated with dopamine D2 receptor (DRD2) NcoI alleles. Mol Med. 1998;4(1):14–21.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Edden RA, Crocetti D, Zhu H, Gilbert DL, Mostofsky SH. Reduced GABA concentration in attention-deficit/hyperactivity disorder. Arch Gen Psychiatry. 2012;69(7):750–3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Swanson JM, Kinsbourne M, Nigg J, Lanphear B, Stefanatos GA, Volkow N, Taylor E, Casey BJ, Castellanos FX, Wadhwa PD. Etiologic subtypes of attention-deficit/hyperactivity disorder: brain imaging, molecular genetic and environmental factors and the dopamine hypothesis. Neuropsychol Rev. 2007;17(1):39–59.

    Article  PubMed  Google Scholar 

  18. Caldecott-Hazard S, Morgan DG, DeLeon-Jones F, Overstreet DH, Janowsky D. Clinical and biochemical aspects of depressive disorders: II. Transmitter/receptor theories. Synapse. 1991;9(4):251–301.

    Article  CAS  PubMed  Google Scholar 

  19. Montagna P, Cevoli S, Marzocchi N, Pierangeli G, Pini LA, Cortelli P, Mochi M. The genetics of chronic headaches. Neurol Sci. 2003;24(Suppl 2):S51–56.

    Article  PubMed  Google Scholar 

  20. Duan J, Yang R, Lu W, Zhao L, Hu S, Hu C. Comorbid Bipolar disorder and migraine: from mechanisms to treatment. Front Psychiatry. 2020;11:560138.

    Article  PubMed  Google Scholar 

  21. Hung CI, Liu CY, Yang CH, Wang SJ. The impacts of migraine among outpatients with major depressive disorder at a two-year follow-Up. PLoS ONE. 2015;10(5):e0128087.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Ducros A. Genetics of migraine. Rev Neurol (Paris). 2021;177(7):801–8.

    Article  CAS  PubMed  Google Scholar 

  23. Flint J, Kendler KS. The genetics of major depression. Neuron. 2014;81(3):484–503.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Sucksdorff D, Brown AS, Chudal R, Heinimaa M, Suominen A, Sourander A. Parental and comorbid migraine in individuals with bipolar disorder: a nationwide register study. J Affect Disord. 2016;206:109–14.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Huang JS, Yang FC, Chien WC, Yeh TC, Chung CH, Tsai CK, Tsai SJ, Yang SS, Tzeng NS, Chen MH, et al. Risk of substance use disorder and its associations with comorbidities and psychotropic agents in patients with autism. JAMA Pediatr. 2021;175(2):e205371.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Liang CS, Bai YM, Hsu JW, Huang KL, Ko NY, Chu HT, Yeh TC, Tsai SJ, Chen TJ, Chen MH. The risk of sexually transmitted infections following first-episode Schizophrenia among adolescents and young adults: a cohort study of 220 545 subjects. Schizophr Bull. 2020;46(4):795–803.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Chen MH, Hsu JW, Huang KL, Bai YM, Ko NY, Su TP, Li CT, Lin WC, Tsai SJ, Pan TL, et al. Sexually transmitted infection among adolescents and young adults with attention-deficit/hyperactivity disorder: a nationwide longitudinal study. J Am Acad Child Adolesc Psychiatry. 2018;57(1):48–53.

    Article  PubMed  Google Scholar 

  28. Chen MH, Hsu JW, Huang KL, Su TP, Li CT, Lin WC, Tsai SJ, Cheng CM, Chang WH, Pan TL et al. Risk and coaggregation of major psychiatric disorders among first-degree relatives of patients with bipolar disorder: a nationwide population-based study. Psychol Med 2018:1–8.

  29. Chen MH, Lan WH, Hsu JW, Huang KL, Su TP, Li CT, Lin WC, Tsai CF, Tsai SJ, Lee YC, et al. Risk of developing type 2 diabetes in adolescents and young adults with autism spectrum disorder: a nationwide longitudinal study. Diabetes Care. 2016;39(5):788–93.

    Article  CAS  PubMed  Google Scholar 

  30. Zhang B, Wang HE, Bai YM, Tsai SJ, Su TP, Chen TJ, Wang YP, Chen MH. Inflammatory bowel disease is associated with higher dementia risk: a nationwide longitudinal study. Gut. 2021;70(1):85–91.

    Article  PubMed  Google Scholar 

  31. Cheng CM, Chang WH, Chen MH, Tsai CF, Su TP, Li CT, Tsai SJ, Hsu JW, Huang KL, Lin WC, et al. Co-aggregation of major psychiatric disorders in individuals with first-degree relatives with schizophrenia: a nationwide population-based study. Mol Psychiatry. 2018;23(8):1756–63.

    Article  PubMed  Google Scholar 

  32. Tsai SJ, Cheng CM, Chang WH, Bai YM, Hsu JW, Huang KL, Su TP, Chen TJ, Chen MH. Risks and familial coaggregation of death by suicide, accidental death and major psychiatric disorders in first-degree relatives of individuals who died by suicide. Br J Psychiatry: J Mental Sci. 2023;223(4):465–70.

    Article  Google Scholar 

  33. Liu CY, Hung YT, Chuang YL, Chen YJ, Weng WS, Liu JS. Incorporating development stratification of Taiwan townships into sampling design of large scale health interview survey. J Health Manage (Chin). 2006;4:1–22.

    CAS  Google Scholar 

  34. Oedegaard KJ, Greenwood TA, Johansson S, Jacobsen KK, Halmoy A, Fasmer OB, Akiskal HS, Bipolar Genome S, Haavik J, Kelsoe JR. A genome-wide association study of bipolar disorder and comorbid migraine. Genes Brain Behav. 2010;9(7):673–80.

    Article  CAS  PubMed  Google Scholar 

  35. Oedegaard KJ, Greenwood TA, Lunde A, Fasmer OB, Akiskal HS, Kelsoe JR, Consortium NGIBD. A genome-wide linkage study of bipolar disorder and co-morbid migraine: replication of migraine linkage on chromosome 4q24, and suggestion of an overlapping susceptibility region for both disorders on chromosome 20p11. J Affect Disord. 2010;122(1–2):14–26.

    Article  CAS  PubMed  Google Scholar 

  36. Nielsen CS, Knudsen GP, Steingrimsdottir OA. Twin studies of pain. Clin Genet. 2012;82(4):331–40.

    Article  CAS  PubMed  Google Scholar 

  37. Gormley P, Anttila V, Winsvold BS, Palta P, Esko T, Pers TH, Farh KH, Cuenca-Leon E, Muona M, Furlotte NA, et al. Meta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine. Nat Genet. 2016;48(8):856–66.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Seng EK, Mauser ED, Marzouk M, Patel ZS, Rosen N, Buse DC. When mom has migraine: an observational study of the impact of parental migraine on adolescent children. Headache. 2019;59(2):224–34.

    Article  PubMed  Google Scholar 

  39. MacGregor EA, Brandes J, Eikermann A, Giammarco R. Impact of migraine on patients and their families: the Migraine and Zolmitriptan evaluation (MAZE) survey–phase III. Curr Med Res Opin. 2004;20(7):1143–50.

    Article  CAS  PubMed  Google Scholar 

  40. Lipton RB, Bigal ME, Kolodner K, Stewart WF, Liberman JN, Steiner TJ. The family impact of migraine: population-based studies in the USA and UK. Cephalalgia. 2003;23(6):429–40.

    Article  CAS  PubMed  Google Scholar 

  41. Buse DC, Powers SW, Gelfand AA, VanderPluym JH, Fanning KM, Reed ML, Adams AM, Lipton RB. Adolescent perspectives on the Burden of a parent’s migraine: results from the CaMEO study. Headache. 2018;58(4):512–24.

    Article  PubMed  Google Scholar 

  42. Gungen BD, Aras YG, Gul SS, Acar T, Ayaz AB, Alagoz AN, Acar BA. The effect of maternal migraine headache on their children’s quality of life. Acta Neurol Belg. 2017;117(3):687–94.

    Article  PubMed  Google Scholar 

  43. Loewy RL, Corey S, Amirfathi F, Dabit S, Fulford D, Pearson R, Hua JPY, Schlosser D, Stuart BK, Mathalon DH, et al. Childhood trauma and clinical high risk for psychosis. Schizophr Res. 2019;205:10–4.

    Article  PubMed  Google Scholar 

  44. Stowkowy J, Goldstein BI, MacQueen G, Wang J, Kennedy SH, Bray S, Lebel C, Addington J. Trauma in youth at-risk for serious mental illness. J Nerv Ment Dis. 2020;208(1):70–6.

    Article  PubMed  Google Scholar 

  45. Warrier V, Kwong ASF, Luo M, Dalvie S, Croft J, Sallis HM, Baldwin J, Munafo MR, Nievergelt CM, Grant AJ, et al. Gene-environment correlations and causal effects of childhood maltreatment on physical and mental health: a genetically informed approach. Lancet Psychiatry. 2021;8(5):373–86.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Marmorstein NR, Iacono WG, Markey CN. Parental psychopathology and migraine headaches among adolescent girls. Cephalalgia. 2009;29(1):38–47.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Borte S, Zwart JA, Stensland SO, Hagen K, Winsvold BS. Parental migraine in relation to migraine in offspring: family linkage analyses from the HUNT study. Cephalalgia. 2019;39(7):854–62.

    Article  PubMed  Google Scholar 

  48. Lemos C, Alonso I, Barros J, Sequeiros J, Pereira-Monteiro J, Mendonca D, Sousa A. Assessing risk factors for migraine: differences in gender transmission. PLoS ONE. 2012;7(11):e50626.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Shek DT. Perceived parent-child relational qualities and parental behavioral and psychological control in Chinese adolescents in Hong Kong. Adolescence. 2006;41(163):563–81.

    PubMed  Google Scholar 

  50. Hsieh CY, Su CC, Shao SC, Sung SF, Lin SJ, Kao Yang YH, Lai EC. Taiwan’s national health insurance research database: past and future. Clin Epidemiol. 2019;11:349–58.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Hsing AW, Ioannidis JP. Nationwide population science: lessons from the Taiwan national health insurance research database. JAMA Intern Med. 2015;175(9):1527–9.

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors thank Mr. I-Fan Hu, MA (Courtauld Institute of Art, University of London; National Taiwan University) for his friendship and support. Mr. Hu declares no conflicts of interest.

Funding

The study was supported by grants from Taipei Veterans General Hospital (V106B-020, V107B-010, V107C-181, V108B-012, V110C-025, V110B-002), Yen Tjing Ling Medical Foundation (CI-109-21, CI-109 − 22, CI-110-30) and Ministry of Science and Technology, Taiwan (107-2314-B-075-063-MY3, 108-2314-B-075 -037, 110-2314-B-075-026, 110-2314-B-075-024-MY3). The funding source had no role in any process of our study.

Author information

Author notes

  1. Chih-Sung Liang and Mu-Hong Chen contributed equally to this article as corresponding authors.

Authors and Affiliations

  1. Department of Addiction Science, Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, Kaohsiung, Taiwan

    Dian-Jeng Li

  2. Department of Nursing, Meiho University, Pingtung, Taiwan

    Dian-Jeng Li

  3. Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan

    Shih-Jen Tsai & Mu-Hong Chen

  4. Department of Psychiatry, College of Medicine, National Yang Ming Chiao Tung University, No. 201, Sec. 2, Shihpai Road, Beitou District, Taipei, 11217, Taiwan

    Shih-Jen Tsai & Mu-Hong Chen

  5. Department of Family Medicine, Taipei Veterans General Hospital, Taipei, Taiwan

    Tzeng-Ji Chen

  6. Institute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University, Taipei, Taiwan

    Tzeng-Ji Chen

  7. Department of Family Medicine, Hsinchu Branch, Taipei Veterans General Hospital, Hsinchu, Taiwan

    Tzeng-Ji Chen

  8. Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, National Defense Medical School, Taipei, Taiwan

    Chih-Sung Liang

  9. Department of Psychiatry, National Defense Medical School, No. 60, Xinmin Road, Beitou District, Taipei, 11243, Taiwan

    Chih-Sung Liang

Authors
  1. Dian-Jeng Li
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  2. Shih-Jen Tsai
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  3. Tzeng-Ji Chen
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  4. Chih-Sung Liang
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  5. Mu-Hong Chen
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Contributions

Conceptualization: Chih-Sung Liang, Mu-Hong Chen. Data curation: Mu-Hong Chen. Formal analysis: Mu-Hong Chen. Funding acquisition: Mu-Hong Chen. Investigation: Chih-Sung Liang, Mu-Hong Chen, Dian-Jeng Li. Methodology: Mu-Hong Chen, Shih-Jen Tsai, Tzeng-Ji Cheng. Project administration: Mu-Hong Chen. Resources: Mu-Hong Chen. Software: Mu-Hong Chen. Supervision: Chih-Sung Liang, Mu-Hong Chen. Validation: Shih-Jen Tsai, Tzeng-Ji Cheng. Visualization: n/a. Writing-original draft: Dian-Jeng Li. Writing-review & editing: Chih-Sung Liang, Mu-Hong Chen.

Corresponding authors

Correspondence to Chih-Sung Liang or Mu-Hong Chen.

Ethics declarations

Ethics approval and consent to participate

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008. The study protocol was reviewed and accepted by the Institutional Review Board of Taipei Veterans General Hospital (approval number: TPEVGH-IRB-2018-07-016AC).

Consent for publication

The requirement for patient consent was waived because the data used in this study were anonymized and derived wholly from a sizeable national database.

Competing interests

The authors declare no competing interests.

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Li, DJ., Tsai, SJ., Chen, TJ. et al. Risk of major mental disorders in the offspring of parents with migraine. Ann Gen Psychiatry 23, 23 (2024). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12991-024-00508-y

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  • DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12991-024-00508-y

Keywords

Annals of General Psychiatry

ISSN: 1744-859X