Abstract copyright UK Data Service and data collection copyright owner.
The Scottish Heart Health Study aimed to establish the levels of coronary heart disease risk factors in a cross-sectional sample of Scottish men and women aged 40-59 drawn from different localities; to determine the extent to which the geographical variation in coronary heart disease can be explained in terms of the geographical variation in risk factor levels; to assess the relative contribution of the established risk factors and some more recently described ones to the prediction of coronary heart disease within a cohort of men and women. The MONICA study aimed to measure the trends in cardiovascular mortality and coronary heart disease and cerebrovascular disease morbidity and to assess the extent to which these trends are related to changes in known risk factors, daily living habits, health care, or major socio-economic features measured at the same time in defined communities in different countries.
Main Topics:
Social and demographic factors; family history of heart disease etc.; medical history and symptoms; medication; chest pain; leg pain; cough, phlegm, breathlessness; physical activity; tobacco smoking (in detail); food frequency questionnaire; alcohol diary for one week; Bortner questionnaire; social support; health knowledge and attitudes and related behaviour; weight, height, blood pressure; expired air carbon monoxide; electrocardiogram; blood tests; urinary electrolytes. Measurement Scales: Minnesota code for electrocardiogram; Bortner scale for personality. See documentation for further details. During conversion from the original ASCII text versions of the data, variable labels have been added and missing values set as missing. Value labels for the SHHS study can be found in the questionnaire within the user guide. No corresponding separate MONICA questionnaire is available, but further information on the wider international WHO MONICA survey can be found in the report on the WHO website at http://apps.who.int/iris/bitstream/10665/42597/1/9241562234.pdf
Multi-stage stratified random sample
Two stage random sampling: random sample of general practitioners; random sampling of patients within each ten year age group.
Postal survey
Self-completion
Clinical measurements
