GB Pant Institute of Postgraduate Medical Education and Research, New Delhi, India.
All India Institute of Medical Sciences, New Delhi, India.
J Headache Pain. 2024 Jun 28;25(1):108. doi: 10.1186/s10194-024-01814-2.
India is a large and populous country where reliable data on headache disorders are relatively scarce. This study in northern India (Delhi and National Capital Territory Region [NCR], including surrounding districts in the States of Haryana, Uttar Pradesh and Rajasthan) continues the series of population-based studies within the Global Campaign against Headache and follows an earlier study, using the same protocol and questionnaire, in the southern State of Karnataka.
This cross-sectional study used the Global Campaign's established methodology. Biologically unrelated Indian nationals aged 18-65 years were included through multistage random sampling in both urban and rural areas of NCR. Interviews at unannounced household visits followed the structured Headache-Attributed Restriction, Disability, Social Handicap and Impaired Participation (HARDSHIP) questionnaire in its original English version or in the validated Hindi version. Demographic enquiry was followed by a neutral headache screening question and diagnostic questions based on the International Classification of Headache Disorders edition 3 (ICHD-3), which focused on each respondent's most bothersome headache. Questions about headache yesterday (HY) enabled estimation of 1-day prevalence. A diagnostic algorithm first identified participants reporting headache on ≥ 15 days/month (H15+), diagnosing probable medication-overuse headache (pMOH) in those also reporting acute medication use on ≥ 15 days/month, and "other H15+" in those not. To all others, the algorithm applied ICHD-3 criteria in the order definite migraine, definite tension-type headache (TTH), probable migraine, probable TTH. Definite and probable diagnoses were combined.
Adjusted for age, gender and habitation, 1-year prevalences were 26.3% for migraine, 34.1% for TTH, 3.0% for pMOH and 4.5% for other H15+. Female preponderance was seen in all headache types except TTH: migraine 35.7% vs. 15.1% (aOR = 3.3; p < 0.001); pMOH 4.3% vs. 0.7% (aOR = 5.1; p < 0.001); other H15 + 5.9% vs. 2.3% (aOR = 2.5; p = 0.08). One-day prevalence of (any) headache was 12.0%, based on reported HY. One-day prevalence predicted from 1-year prevalence and mean recalled headache frequency over 3 months was slightly lower (10.5%).
The prevalences of migraine and TTH in Delhi and NCR substantially exceed global means. They closely match those in the Karnataka study: migraine 25.2%, TTH 35.1%. We argue that these estimates can reasonably be extrapolated to all India.
印度是一个人口众多的大国,有关头痛疾病的可靠数据相对较少。本研究在印度北部(德里和首都辖区[NCR],包括哈里亚纳邦、北方邦和拉贾斯坦邦的周边地区)进行,是在南部卡纳塔克邦进行的使用相同方案和问卷的基于人群的研究系列的延续。
这项横断面研究使用了全球头痛防治运动的既定方法。通过多阶段随机抽样,在 NCR 的城市和农村地区纳入了年龄在 18-65 岁之间、无生物学关系的印度国民。在未经事先通知的家庭访问中,根据原始英文版本或经过验证的印地语版本,对受访者进行结构化的头痛归因受限、残疾、社会障碍和受损参与(HARDSHIP)问卷访谈。人口统计学询问后,会进行一个中性的头痛筛查问题,然后根据国际头痛疾病分类第 3 版(ICHD-3)提出诊断问题,重点关注每个受访者最困扰的头痛。关于昨天头痛(HY)的问题有助于估计 1 天的患病率。一个诊断算法首先确定报告每月头痛≥15 天(H15+)的参与者,在同时报告每月急性药物使用≥15 天的患者中诊断为可能的药物过度使用性头痛(pMOH),而在未报告急性药物使用≥15 天的患者中诊断为“其他 H15+”。对于所有其他患者,该算法首先根据 ICHD-3 标准应用偏头痛、紧张型头痛(TTH)、可能的偏头痛、可能的 TTH 的确定性诊断。将确定和可能的诊断结合起来。
按年龄、性别和居住地调整后,偏头痛的 1 年患病率为 26.3%,TTH 为 34.1%,pMOH 为 3.0%,其他 H15+为 4.5%。除了 TTH 之外,所有头痛类型中女性都占优势:偏头痛 35.7%比 15.1%(优势比[OR]3.3;p<0.001);pMOH 4.3%比 0.7%(OR 5.1;p<0.001);其他 H15+5.9%比 2.3%(OR 2.5;p=0.08)。根据报告的 HY,(任何)头痛的 1 天患病率为 12.0%。从 1 年患病率和 3 个月内回忆的头痛频率平均值预测的 1 天患病率略低(10.5%)。
德里和 NCR 的偏头痛和 TTH 患病率大大超过全球平均值。它们与卡纳塔克邦的研究非常匹配:偏头痛 25.2%,TTH 35.1%。我们认为这些估计可以合理地推广到整个印度。