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Table 1 List of variables used in the univariate logistic regression analyses with all comparison groups, organised by domains

From: A logistic regression analysis of risk factors in ME/CFS pathogenesis

DomainsList of variables
DemographicAge at survey (or age at disease onset for the diseased groups), sex, ethnicity.
Socio-economicMarital status, education, individual income, index of multiple deprivationa.
Family health historyHigh blood pressure, diabetes, heart problems, asthma, allergies, depression, anxiety, mental health problems, learning disabilities, physical disabilities, cancer, ME/CFS, MS, other neurological problems, tuberculosis, any other health problems.
LifestyleSmoking status, alcohol consumption/week, physical activity
Previous morbidity (prior to disease onset)High blood pressure, heart problems, asthma, allergies, depression, anxiety, high levels of stress, history of frequent coughs/colds, intolerance to alcoholic drinks, intolerance to sugar, other health problems.
Recent exposures (6 months prior to disease onset)Lived on a farm, tick bites, vaccines/immunisations, travelling overseas, flooding, radiation, carbon monoxide (CO), pesticides, any other chemicals, had meningitis, had any other serious infection, had any head injury, had a major operation, contraceptive pill (women only), lived in a house with gas or oil appliances (for heating or cooking), lived in a house with a gas fire, BCG vaccination.
  1. ME/CFS Myalgic Encephalomyelitis/Chronic Fatigue Syndrome, MS Multiple Sclerosis.
  2. aIndex of multiple deprivation refers to area of residence [19]. All other variables are as reported by research participants