Clinical Features of Migraine in Mangalore: A Study

Clinical characteristics and disability of subjects with migraine in a tertiary Centre in Mangalore: A Cross-Sectional Study

Shubham Bhusari1, Deepthi Saka2, Rohit Pai3

  1. MBBS Student, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India.
  2. Senior Resident, Department of Psychiatry, Maharajah Institute of Medical Sciences, Vizianagaram, Andhra Pradesh, India.
  3. Associate Professor of Neurology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India.

📧 [email protected]

OPEN ACCESS

PUBLISHED: 30 November 2024

CITATION: Bhusari, S., Saka, D., et al., 2024. Clinical characteristics and disability of subjects with migraine in a tertiary Centre in Mangalore: A Cross-Sectional Study. Medical Research Archives, [online] 12(11).
https://doi.org/10.18103/mra.v12i11.6022

COPYRIGHT: © 2024 European Society of Medicine. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

DOI: https://doi.org/10.18103/mra.v12i11.6022

ISSN 2375-1924

ABSTRACT

Background: Migraine is the second most common cause of headaches and the most common headache-related neurological disability in the world. It is commonly linked with a broad range of psychiatric comorbidities. There has been a reported increase in the prevalence of migraine-related disability in patients who develop mood disorders due to migraine. This study is driven by the rising incidence of disability and deteriorating health-related quality of life observed in a significant portion of migraine patients. Approximately one-third to half of these individuals experience inadequate diagnosis and treatment, while two-thirds report mood changes associated with their condition. Addressing these gaps is crucial for improving overall patient outcomes and quality of life.

Methods: This cross-sectional study has been carried out in the duration of one month in which the subjects with migraine were recruited by consecutive sampling amongst those aged 16-64 years from Mangalore, diagnosed with migraine based on the International Classification of Headache Disorders (ICHD), with the major demographic variables of age, gender, education, occupation, and marital status, socio-economic status and assess some of its clinical features, including aspects of consequential disability using a previously validated Migraine disability assessment (MIDAS) questionnaire.

Results: A total of 50 patients were studied. The study shows a female preponderance of 74%. The prevalence of migraine varied with age, rising through early adult life and declining in the late 40s and early 50s. Majority of about 52% belonged to the age group of 14-34 years. The duration and frequency of headaches were found to correlate with the presence of mood disorders in 60% of the patients. Moreover, a higher migraine-related disability was noted in patients with comorbid mood disorders. Majority of the subjects (52%) under the study belonged to moderate levels of functional disability based on Migraine disability assessment (MIDAS).

Conclusion: The present study revealed migraine preponderance amongst younger female population leading to significant mood disorders with rising migraine-related disability. An early diagnosis and optimum treatment of these individuals can prevent these impairments and lead to a better quality of life in these individuals. Patients with migraine must be screened for mood disorders using questionnaires like the Hospital Anxiety and Depression Scale (HADS) to rule out comorbid mood disorders.

Keywords: Migraine, Mood disorder, Disability assessment, Quality of life, MIDAS questionnaire, Neurological disability, Female preponderance.

 

Introduction

Headache is the most common neurological disorder¹⁵ and is broadly classified into migraine headache and tension headache. Migraine is a primary headache characterized by a set of specific clinical features. It is the most common headache related neurological disability in the world¹. In terms of disability-adjusted life years (DALY)¹⁶, Migraine headache ranks second globally and has been considered as one among the ten most debilitating diseases globally¹⁵. The diagnosis of migraine is based on the criteria given by the second edition of the International Classification of Headache Disorders (ICHD-2)². It affects around 15% of women and 6% of men over 1 year period.¹ Owing to the inadequacy in diagnosis and treatment, there has been a rise in levels of disability leading to a poor quality of life³. It affects multiple domains of functioning including social, occupational, academic, personal, and particularly psychological domains. Particularly of note, migraine has been associated with a broad range of psychiatric comorbidities⁴. There has been a reported increase in the prevalence of migraine-related disability in patients who develop mood disorders due to migraine⁵. Considering the paucity in literature and limited work that has been done in migraine leading to mood disorders and other psychiatric comorbidities, leading to overall poor quality of life¹⁷.

Hence, the present study was conducted to study the clinical characteristics of migraine, identify and treat patients adequately to prevent the disability and correlate mood disorders¹³ in patients with migraine, and assess mood-related disability.


Materials and Methods:

The cross-sectional observation prospective clinical study was begun after getting approval from Institutional Ethics Committee of Father Muller Medical College, Mangalore, Karnataka, India and written informed consent from the study subjects. Subjects with migraine amongst those aged 14-64 years diagnosed with migraine based on ICHD were recruited by consecutive sampling at Neurology outpatient department of Father Muller Medical college and hospital, Mangalore, Karnataka during one month between March and April 2017.

Consecutive/Universal sampling method was adopted for the data collection, all the migraine patients visiting the Neurology outpatient department and satisfying the inclusion criteria during the study period were recruited for the study.

Data was collected based on questionnaire which had 3 sections. Section A includes identification data of the study participants. Section B focuses on collecting comprehensive socio-demographic information. This section includes details on age, gender, education level, current occupation, marital status, socio-economic status and assess some of its clinical features, namely duration, frequency, character, localization, type, severity, associated symptoms, family history, and questions related migraine disability assessment (MIDAS)⁷. The questionnaire was prepared after thorough review of literature of published articles.

Operational definition of migraine encompasses headache attacks lasting for 4-72 hours without treatment or failure of treatment which fulfills at least two of the following characteristics: moderate or severe pain intensity, aggravation by or avoidance of routine physical activity, unilateral headache, feelings of pulsation. During migraine, at least nausea and/or vomiting or photophobia and phonophobia is experienced.

SPSS Version 21.0 was used for entering and analyzing the data. Descriptive statistics like proportion, mean and standard deviation were used to express the results.

Results

Figure 1: Gender of Study Participants (N=50)
Figure 1: Gender of Study Participants (N=50)

The study included 50 participants with a median age of 34.14 years (±12.22). The majority were female (37) as depicted in Figure 1.

Figure 2: Socio-economic class (as per modified Kuppuswamy classification 2012) of Study Participants (N=50)
Figure 2: Socio-economic class (as per modified Kuppuswamy classification 2012) of Study Participants (N=50)

Among 50 subjects with migraine, a larger proportion belonged to lower socio-economic class, with 42% classified as class IV (6-10) as depicted in Figure 2.

Baseline Characteristics of Study Participants (N=50)

Characteristic Number Percentage (%)
Education 6 – middle school 5
7 – primary school 4
8 – unskilled work 6
9 – skilled work 4
10 – professional 2
Marital Status Single 13
Married 31
Residence Urban 29

Headache Characteristics

Figure 3: Severity of Headache among Study Participants (N=50)
Figure 3: Severity of Headache among Study Participants (N=50)

Out of 50 study participants 84% (n=42) of them reported having migraine without aura, 56% (n=28) had a family history of headaches as depicted in Table 3.

Figure 4: Localization of headache among Study Participants (N=50)
Figure 4: Localization of headache among Study Participants (N=50)

Among 50 subjects with migraine who had headache, 23 subjects (46%) had unilateral headache, 22 subjects (44%) reported bilateral headaches as depicted in Figure 4.

Figure 5: Presence of Associated Symptoms (N=50)

This image has an empty alt attribute; its file name is image-63.png

Presence of Associated Symptoms (N=50)

Associated Symptoms Number of Participants
Nausea 42
Vomiting 28
Photophobia 30
Visual impairment 10

Disability associated with headache as per MIDAS score

Figure 5: Disability associated with headache as per MIDAS score
Figure 6: Disability associated with headache as per MIDAS score

The study focused on the clinical characteristics of migraine, and the MIDAS score indicated that 52.0% (n=26) had MIDAS Grade I (little/no disability) and 14.0% (n=7) MIDAS Grade III (moderate disability) as depicted in Figure 5.

Statistical Correlation: Cross-Tabulation

Table 3: Cross-tabulation of Age at Onset of Headache and Family History of Headache

Age at onset (in years) Family History Present n (%) Family History Absent n (%) Total
14 – 34 9 (26%) 25 (74%) 34
34 – 49 1 (7%) 13 (93%) 14
50 – 64 1 (50%) 1 (50%) 2
Total 11 (22%) 39 (78%) 50

There is no association between age at onset of headache and family history of headache (Chi Square Value: 1.1, p-value: 0.2943) as depicted in Table 3.


Table 4: Cross-tabulation of Gender of Subject with Migraine and Family History of Headache

Gender Family History Present n (%) Family History Absent n (%) Total
Male 0 13 (100%) 13
Female 11 (30%) 26 (70%) 37
Total 11 (22%) 39 (78%) 50

There is an association between gender of subjects with migraine and family history of headache (p<0.05, Chi Square Value: 4.955, p-value: 0.026) as depicted in Table 4.


Table 5: Cross-tabulation of Gender of Subject with Migraine and Age at Onset of Headache

Gender 14 – 34 n (%) 35 – 49 n (%) 50 – 64 n (%) Total
Male 7 (54%) 4 (31%) 2 (15%) 13
Female 27 (73%) 10 (27%) 0 37
Total 34 (68%) 14 (28%) 2 (4%) 50

There is an association between gender of subjects with migraine and age at onset of headache (p<0.05, Chi Square Value: 6.258, p-value: 0.044) as depicted in Table 5.


Table 6: Cross-tabulation of Duration of Attack (in hours) and Localization of Headache

Duration of Headache (in hours) U/L n (%) B/L n (%) Both n (%) Total
< 6 5 (50%) 4 (40%) 1 (10%) 10
6 – 24 9 (39%) 12 (52%) 2 (9%) 23
24 – 72 7 (50%) 6 (43%) 1 (7%) 14
> 72 2 (66%) 0 1 (33%) 3
Total 23 (46%) 22 (44%) 5 (10%) 50

There is no association between duration of attack in hours and localization of headache (p>0.05, Chi Square Value: 4.095, p-value: 0.664) as depicted in Table 6.

Associated symptoms MIDAS       Pearson chi-square value P-value
  I (Little/No disability) n (%) II (Mild disability) n (%) III (Moderate disability) n (%) Total    
Character         10.487 0.106
Pulsating/throbbing 11 (69%) 9 (36%) 5 (56%)      
Sharp 3 (19%) 10 (40%) 2 (22%)      
Dull 2 (12%) 2 (8%) 2 (22%)      
Others 0 4 (16%) 0      
Total 16 25 9 50    
Monthly Frequency (in days) I n (%) II n (%) III n (%) Total Pearson chi-square value P-value
0–4 5 (31%) 1 (4%) 0   1.335 0.855
5–9 3 (19%) 13 (52%) 0      
>10 8 (50%) 11 (44%) 9 (100%)      
Total 16 25 9 50    
Education I n (%) II n (%) III n (%) Total Pearson chi-square value P-value
Professional or Honors 0 0 1 (11%)   6.381 0.896
Graduate or Post graduate 3 (19%) 3 (12%) 0      
Intermediate or post high school diploma 2 (12.5%) 4 (16%) 1 (11%)      
High school 6 (37.5%) 10 (40%) 6 (67%)      
Middle school 1 (6%) 3 (12%) 1 (11%)      
Primary school 2 (12.5%) 3 (12%) 0      
Illiterate 2 (12.5%) 2 (8%) 0      
Total 16 25 9 50    
Gender I n (%) II n (%) III n (%) Total Pearson chi-square value P-value
Male 4 (25%) 8 (32%) 1 (11%)   0.601 0.740
Female 12 (75%) 17 (68%) 8 (99%)      
Total 16 25 9 50

Discussion

Migraine is a wide spectrum of disease characterized by a variable number of episodes, associated with variable intensities of pain, causing implications in the migraine treatment.

The current study focused on the clinical characteristics of migraine, assessed the disability associated with migraine, and correlated clinical profile with the socio-demographic factors. The current study has a special focus on migraine-related disability associated with mood disorders affecting the health-related quality of life⁸, considering the inadequacy of diagnosis and treatment amongst migraine patients.

The findings of the current study which involved 50 subjects with migraine are in accordance with similar research specific to the disability and demographic parameters of patients with migraine. The current study shows a female preponderance of 74.0%. The Majority of about 52.0% belonged to the age group of 14-34. 42.0% belonged to the middle IVth socio-economic class, and 40% had attained atleast high school education. Demographic variables are in accordance with studies done by Renjith V10, Steiner TJ11, both studies emphasize on the significant burden of migraine as a disabling condition, however they focus on different populations. Study conducted by Renjith V10 in Karnataka, India, surveyed 60 patients, revealing a female preponderance (70%) and a mean age of 35.22 years. It documented high rates of associated symptoms such as throbbing pain (90%) and moderate to severe functional disability in 73.3% of participants. Conversely, study conducted by Steiner TJ11 estimated the one-year prevalence of migraine in England through a large sample (n = 4007), finding that 7.6% of males and 18.3% of females reported migraines, with a significant decline in prevalence after the age of 40. The study emphasized substantial productivity loss, averaging 5.7 working days lost per year for migraineurs, particularly among the most disabled individuals. Together, these studies underscore the pervasive impact of migraine across different demographics, emphasizing the need for targeted healthcare strategies to address this significant public health issue.

A family history of migraine was present in 78% of subjects. The family history of migraine is associated with a lower age-at-onset. The various symptoms experienced by patients include throbbing pain (50.0%), mood changes (60.0%), nausea (65.0%), photophobia (84.0%), and phonophobia (84.0%).

The duration and frequency of headaches were found to correlate with the presence of mood disorders in 60.0% of the patients. Moreover, a higher migraine-related disability was noted in patients with comorbid mood disorders.

Numerous studies have highlighted that individuals with migraines who also experience mood disorders tend to face a lower quality of life. This includes increased activity limitations, more frequent job absences, greater use of healthcare services, and a higher likelihood of needing assistance with personal or instrumental daily activities. These findings are consistent with the worse disability scores observed in our study.

Most of the subjects (52.0%) under the study belonged to mild levels of functional disability based on MIDAS. MIDAS questionnaire can be used as an effective clinical measure to identify the severity of illness and can be an inevitable tool in planning treatment for migraine.

We would like to acknowledge the limitations of our study. Firstly, the small and specific sample size restricts the generalizability of our findings to a broader population. Secondly, being a cross-sectional study, it does not allow the effect of medication on disability levels over time. Additionally, the relatively short duration of the study limits our ability to assess long-term outcomes and changes in disability. However, one of the primary strengths of our study is its prospective design, which allows for the observation and analysis of outcomes over time, reducing biases associated with retrospective studies. Additionally, the assessment was conducted using standard international criteria and standardized tools, ensuring that the measurements and evaluations were both reliable and valid. Another, strength of our study is that we have carefully excluded other causes of headache especially tension type and medication overuse headaches which could potentially change the clinical and psychological picture of the individuals or any subjects with acute illnesses.

Hence, we contend that this study provides a pure and undistorted picture of Clinical characteristics and disability of subjects with migraine along with a correlation amongst associated symptoms like mood changes with duration and frequency of headaches.

Conclusion

Migraine headache is a common neurological disorder¹⁴ affecting the younger female population leading to significant mood disorders with rising migraine-related disability. An early diagnosis and optimum treatment of these individuals can prevent these impairments and lead to a better quality of life in these individuals. Moreover, patients with migraine must be screened for mood disorders using questionnaires like the Hospital Anxiety and Depression Scale (HADS)⁹ to rule out comorbid mood disorders. A prospective longitudinal study, larger sample size, and effectiveness of treatment and quality of life with adequate treatment could be targets for future epidemiological and clinical studies on migraine.

Conflict of Interest:

There are no conflicts of interest.

Funding Statement:

None.

Acknowledgements:

The authors would like to express their sincere gratitude to Dr. Mithun, Assistant Professor, Department of Community Medicine, Kasturba Medical College, Mangalore for his support and guidance in thorough review of the manuscript. We also extend our thanks to the anonymous reviewers for their insightful comments, which significantly enhanced the quality of this article.

Corresponding Author:

Dr. Rohit Pai
Associate Professor of Neurology Kasturba Medical College
Mangalore, Karnataka, India.
Email Address: [email protected]

 

 

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