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Volumn 27, Issue 8, 2007, Pages 877-880

Migraine headache and obesity in women aged 40-74 years: A population-based study

Author keywords

Migraine and obesity

Indexed keywords

ADULT; AGED; ARTICLE; BODY HEIGHT; BODY MASS; BODY WEIGHT; CONTROLLED STUDY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MAMMOGRAPHY; MASS SCREENING; MIGRAINE; OBESITY; POPULATION BASED CASE CONTROL STUDY; STATISTICAL SIGNIFICANCE;

EID: 34547146331     PISSN: 03331024     EISSN: 14682982     Source Type: Journal    
DOI: 10.1111/j.1468-2982.2007.01360.x     Document Type: Article
Times cited : (66)

References (6)
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  • 2
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    • Factors associated with the onset and remission of chronic daily headache in a population-based study
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  • 3
    • 33645009012 scopus 로고    scopus 로고
    • Obesity and migraine: A population study
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    • (2006) Neurology , vol.66 , pp. 545-50
    • Bigal, M.E.1    Liberman, J.N.2    Lipton, R.B.3
  • 4
    • 0034453651 scopus 로고    scopus 로고
    • The prevalence of migraine in women aged 40-74 years: A population-based study
    • Mattsson P, Svärdsudd K, Lundberg PO, Westerberg C-E. The prevalence of migraine in women aged 40-74 years: a population-based study. Cephalalgia 2000 20 : 893 9.
    • (2000) Cephalalgia , vol.20 , pp. 893-9
    • Mattsson, P.1    Svärdsudd, K.2    Lundberg, P.O.3    Westerberg, C.-E.4
  • 5
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    • Classification and diagnostic criteria for headache disorders, cranial neuralgias and facial pain
    • Headache Classification Committee of the International Headache Society.
    • Headache Classification Committee of the International Headache Society. Classification and diagnostic criteria for headache disorders, cranial neuralgias and facial pain. Cephalalgia 1988 8 (Suppl. 7 1 96.
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  • 6
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    • Some methods based on ranks
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    • Conover WJ. Some methods based on ranks. In : Conover WJ, ed. Practical nonparametric statistics, 2nd edn. New York : John Wiley & Sons, 1980 : 213 338.
    • (1980) Practical Nonparametric Statistics, 2nd Edn. , pp. 213-338
    • Conover, W.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.