Migraine in the Corporate Sector: Prevalence, Risk Factors, Job Efficiency Impact, and Management Strategies

28 June 2026 : Clinical Research

Azra Batool^{ABCDE 1}, Adeel Aslam

^{ABCDEF 2}, Shazia Jamshed

^{ACDEF 3}, Mudassar Iqbal Arain^{ACDEF 4}, Adel Bashatah

^{CDEFG 5*}, Ayesha Iqbal^{CDEFG 6,7}, Wajid Syed

^{CDEFG 8}, Naji Alqahtani^{CDEFG 5}, Kholoud Alharbi

^{CDEFG 5}, Saeed Asiri

^{CDEFG 5}

DOI: 10.12659/MSM.951082

Med Sci Monit 2026; 32:e951082

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Table 10 Predictors for poor migraine management among respondents.

Variable	COR (95% CI)	P value	AOR (95% CI)	P value
Gender (Female)	1.87 (1.21–2.89)	0.005^**	1.58 (0.94–2.67)	0.084
Income	0.85 (0.72–1.00)	0.048^*	0.89 (0.74–1.08)	0.241
Stress (high)	2.03 (1.34–3.07)	0.001^**	1.79 (1.12–2.87)	0.015^*
Migraine severity (severe)	2.71 (1.68–4.39)	<0.001^**	2.47 (1.49–4.08)	<0.001^**
Migraine frequency (high)	2.27 (1.45–3.54)	<0.001^**	2.12 (1.27–3.55)	0.004^**
Age	1.04 (1.00–1.09)	0.041^*	1.02 (0.98–1.07)	0.312
COR – crude odds ratio; AOR – adjusted odds ratio; CI –confidence interval; ^* ^** p

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