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Part I. Population indicators of chronic disease risk factors

1. Introduction

In this part we propose population indicators of major chronic disease risk factors. We will consider risk factors which can be measured through risk factor examination in population surveys. We also propose some indicators that are related to prevention or treatments of chronic diseases.

Our proposal is closely related to the proposal for a comprehensive list of health indicators that has already been prepared by European Community Health Indicators (ECHI), another project of the Health Monitoring Programme. For the indicators of chronic disease risk factors, the ECHI project asked the EHRM Project for advice. Therefore, most of the primary indicators proposed here have already been included in the ECHI proposal. Because the ECHI project ended a year earlier than EHRM, the EHRM proposal in its final form was not available to ECHI. The ECHI Project stressed that flexibility is an important characteristic of their proposal as the interest in specific indicators may change with changing policy interests and scientific developments.

The indicators proposed by the ECHI Project are defined at the general level, i.e., their actual operational definitions have not yet been attempted. The EHRM project gives operational definitions for its indicators, and also makes detailed recommendations for procedures that impact on data reliability and comparability in multinational surveys.

The proposed indicators have been classified into two categories, primary and secondary.

Primary indicators are those that should be available from every risk factor survey. They can be characterized as being:

These primary indicators are also proposed for the ECHI list.

Secondary indicators should be considered as optional for risk factor surveys. They are considered useful but, compared with the primary indicators, their:

Data for secondary indicators should be collected in future risk factor surveys whenever feasible.

Standardized procedures for collecting data for the indicators in population surveys as well as the rules for deriving the indicators from the data are described in Part 3.

2. Indicators

2.1 Blood pressure

Primary indicators

Secondary indicators

2.2 Lipids

Primary indicators

Secondary indicators

2.3 Obesity

Primary indicators

Secondary indicators

2.4 Smoking

Primary indicators

Secondary indicators

2.5 Antiplatelet drugs

Secondary indicators

2.6 Hormone replacement therapy

Secondary indicators

2.7 Glucose

These indicators might be modified by the ongoing project of the Health Monitoring Programme on Establishment of Indicators Monitoring Diabetes Mellitus and its Morbidity.

Primary indicators 

Secondary indicators 

2.8 Other indicators

There may be other indicators that are of interest to specific countries. Other potential indicators, such as homocysteine and fibrinogen, were considered. Because of complexities or high cost of measurement, or difficulties in standardization, they were not included in the short list of primary and secondary indicators.

3. Breakdown of indicators

The population subgroups by which the indicators are reported will need to be standardized.

3.1 Sex

The indicators should be reported separately for men and women, because the levels and their trends may differ between the sexes. This is important for several risk factors, particularly for smoking and obesity, where the patterns for men and women in the same population may be completely different.

3.2 Age

The recommended core age group for monitoring of the risk factors among adults is 35-74 years. Within this age group, the indicators should be reported by ten year age group and age standardized for the whole age group. The age group 25-34 is relevant and its inclusion is highly recommended. The same risk factors are also relevant for children and adolescents, but the survey arrangements and normal values are different. For people beyond age 75 the role of the conventional risk factors is not well known.

3.3 Geographical area

For general public health purposes, the indicators should be representative for a geographically defined area. While nationally representative data should be the goal, it is often not feasible to provide data for an entire country. Even if it is possible, it may be important to report the indicators separately for regions, in order to identify possible geographical differences and to serve regional decision making. In the selection of such areas it is important to consider possible comparison with earlier surveys for assessment of trends.

3.4 Socio-economic status

Remarkable socio-economic differences in the incidence of chronic diseases have been reported in many countries. Therefore, it will be also important to monitor the risk factors by socio-economic status. Due to difficulties in the international standardization of socio-economic categories, only broad categories are suggested:


References

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