Evidence map›Paper›PMID 38378448›Full record

ArticleThe journal of headache and pain2024

Associations of combined lifestyle index with migraine prevalence and headache frequency: a cross-sectional study from the MECH-HK study.

Yunyang Deng, Harry Haoxiang Wang, Fei Wan Ngai, Dexing Zhang, Jing Qin, Xiangyan Chen, Yao Jie Xie

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Article in The journal of headache and pain, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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4 citing papers in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Yunyang DengSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Harry Haoxiang WangSchool of Public Health, Sun Yat-Sen University, Guangzhou, China.
Fei Wan NgaiSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Dexing ZhangThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Jing QinSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Xiangyan ChenDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong SAR, China.
Yao Jie XieSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong SAR, China. grace.yj.xie@polyu.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrior research has shown that individual lifestyles were associated with migraine. Yet, few studies focused on combined lifestyles, particularly in Chinese populations. This cross-sectional study aimed to investigate the relationships of a combined lifestyle index with migraine in Hong Kong Chinese women.

methodsBaseline data from a cohort study named Migraine Exposures and Cardiovascular Health in Hong Kong Chinese Women (MECH-HK) were used for analysis. In total 3510 women aged 55.2 ± 9.1 years were included. The combined lifestyle index comprised eight lifestyle factors: smoking, physical activity, sleep, stress, fatigue, diet, body mass index, and alcohol. Each component was attributed a point of 0 (unhealthy) or 1 (healthy). The overall index was the sum of these points, ranging from 0 (the least healthy) to 8 points (the healthiest). Migraine was diagnosed by the International Classification of Headache Disorders 3rd edition. Additionally, for women with migraine, the data on migraine attack frequency (attacks/month) was collected.

resultsA total of 357 women with migraine (10.2%) were identified. The prevalence of migraine for the 0-3-point, 4-point, 5-point, 6-point, and 7-8-point groups were 18.0% (162/899), 10.9% (86/788), 6.6% (51/776), 6.0% (38/636), and 4.9% (20/411), respectively. In the most-adjusted model, compared to the 0-3-point group, the odds ratios and 95% confidence intervals for the 4-point, 5-point, 6-point, and 7-8-point groups were 0.57 (0.43-0.75), 0.33 (0.24-0.46), 0.30 (0.21-0.44), and 0.25 (0.15-0.41), respectively (all p < 0.001). For each component, migraine was significantly associated with sleep, stress, fatigue, and diet; but was unrelated to smoking, physical activity, body mass index, and alcohol. Among women with migraine, per point increase in the combined lifestyle index was associated with a reduced migraine attack frequency (β = - 0.55; 95% confidence interval = - 0.82, - 0.28; p < 0.001).

conclusionsA combined lifestyle index was inversely associated with migraine and migraine attack frequency in Hong Kong Chinese women. Adhering to a healthy lifestyle pattern might be beneficial to the prevention of migraine attacks. Conversely, it is also plausible that women with migraine might have a less healthy lifestyle pattern compared to those without headaches.

Indexed as

HeadacheMigraine DisordersCohort StudiesCross-Sectional StudiesFatigueFemaleHong KongHumansLife StylePrevalenceCombined lifestyleLifestyleLifestyle indexLifestyle scoreMigraine

Identifiers

PMID38378448
PMCPMC10877907

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.