25-year Trends and Socio-demographic Differences in Response Rates: Finnish Adult Health Behaviour Survey

When estimating population level changes in health indicators, the declining response rate, especially if also the characteristics of non-respondents are changing may bias the outcome. There is evidence that survey response rates are declining in many countries. It is also known that respondents and non-respondents differ in their socio-economic and demographic status as well as in their health and health behaviours. There is no information about the changes in the differences between respondents and non-respondents over time. Our purpose was to investigate the changes over time in the differences between respondents and non-respondents in respect to their sex, age, marital status and educational level. The data from the Finnish Adult Health Behaviour Survey (1978–2002) was used. The response rate declined over the past 25 years for both men and women in all age groups. The decline was faster among men than women, and also faster in younger age groups than older age groups. There is a marked difference in the response rate between married and non-married persons but it did not change over time. Also the response rate between different educational levels differed for both men and women, and this difference increased over the years. The declining response rate and at the same time occurring change in the non-respondent characteristics will decrease the representativeness of the results, limit the comparability of the results with other surveys, increase the bias of the trend estimates and limit the comparability of the results between population groups.

[1]  R. Tervo Interpreting Epidemiologic Evidence: Strategies for Study Design and Analysis , 2004 .

[2]  A. Dobson,et al.  Effect on Trend Estimates of the Difference between Survey Respondents and Non-respondents: Results from 27 Populations in the WHO MONICA Project , 2005, European Journal of Epidemiology.

[3]  A. Folsom,et al.  Differences between respondents and nonrespondents in a multicenter community-based study vary by gender and ethnicity , 1996 .

[4]  S. Blair,et al.  Patterns of non-response to a mail survey. , 1990, Journal of clinical epidemiology.

[5]  D. Dooley,et al.  Telephone health surveys: potential bias from noncompletion. , 1993, American journal of public health.

[6]  Michael Marmot,et al.  Resource Reviews Social Determinants of Health , 2000 .

[7]  L. Karlsson Publications of the National Public Health Institute , 2007 .

[8]  D. Dillman,et al.  How to conduct your own survey , 1994 .

[9]  Seymour Sudman,et al.  Nonsampling Error in Surveys , 1993 .

[10]  E. Vartiainen,et al.  Social class, health behaviour, and mortality among men and women in eastern Finland , 1995, BMJ.

[11]  E. Shahar,et al.  The effect of nonresponse on prevalence estimates for a referent population: insights from a population-based cohort study. Atherosclerosis Risk in Communities (ARIC) Study Investigators. , 1996, Annals of Epidemiology.

[12]  B. K. Atrostic,et al.  Nonresponse in U.S. Government Household Surveys: Consistent Measures, Recent Trends, and New Insights , 2001 .

[13]  K. Warriner,et al.  Evaluating Socio-economic Status (SES) Bias in Survey Nonresponse , 2002 .

[14]  P. Puska,et al.  Changes in health status and health behavior among Finnish adults 1978-1993. , 1997, Scandinavian journal of work, environment & health.

[15]  Richard A. Parker,et al.  Designing and Conducting Survey Research: A Comprehensive Guide , 1992 .

[16]  Giuseppe Costa,et al.  Educational inequalities in cause-specific mortality in middle-aged and older men and women in eight western European populations , 2005, The Lancet.

[17]  C. Steeh Trends in Nonresponse Rates, 1952–1979 , 1981 .

[18]  H. Adami,et al.  Response rate to mailed epidemiologic questionnaires: a population-based randomized trial of variations in design and mailing routines. , 1998, American journal of epidemiology.

[19]  D A Asch,et al.  Response rates to mail surveys published in medical journals. , 1997, Journal of clinical epidemiology.

[20]  J Jones,et al.  The effects of non-response on statistical inference. , 1996, Journal of health & social policy.