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Background and aims Analytical approaches to addressing survey non-participation bias typically use only demographic information to improve estimates. We applied a novel methodology which uses health information from data linkage to adjust for non-representativeness. We illustrate the method by presenting adjusted alcohol consumption estimates for Scotland. Design Data on consenting respondents to the Scottish Health Surveys (SHeSs) 1995-2010 were linked confidentially to routinely collected hospital admission and mortality records. Synthetic observations representing non-respondents were created using general population data. Multiple imputation was performed to compute adjusted alcohol estimates given a range of assumptions about the missing data. Adjusted estimates of mean weekly consumption were additionally calibrated to per-capita alcohol sales data. Setting Scotland. Participants 13 936 male and 18 021 female respondents to the SHeSs 1995-2010, aged 20-64 years. Measurements Weekly alcohol consumption, non-, binge- and problem-drinking. Findings Initial adjustment for non-response resulted in estimates of mean weekly consumption that were elevated by up to 17.8% [26.5 units (18.6-34.4)] compared with corrections based solely on socio-demographic data [22.5 (17.7-27.3)]; other drinking behaviour estimates were little changed. Under more extreme assumptions the overall difference was up to 53%, and calibrating to sales estimates resulted in up to 88% difference. Increases were especially pronounced among males in deprived areas. Conclusions The use of routinely collected health data to reduce bias arising from survey non-response resulted in higher alcohol consumption estimates among working-age males in Scotland, with less impact for females. This new method of bias reduction can be generalized to other surveys to improve estimates of alternative harmful behaviours. [ABSTRACT FROM AUTHOR]

Background: Trials in primary care to increase physical activity (PA) typically experience poor recruitment rates and may not recruit those with lower PA levels and who are most in need of the intervention. Despite the well-publicised benefits of physical activity, the majority of adults in the UK remain inactive and, therefore, at greater risk of many health problems. Our aim was to investigate the reasons for non-participation in the PACE-UP trial, which is a primary care pedometer-based walking intervention. This is important for successful recruitment and retention in future PA trials and programmes.Method: We conducted semi-structured audio-recorded telephone interviews with 30 participants, aged 45-75 years, purposively sampled from those declining participation in the PACE-UP trial. Recruitment continued until data saturation and a demographically balanced sample was achieved. Interviews were transcribed verbatim, coded and subjected to thematic analysis.Results: Interviewees supported walking as suitable exercise for most people in this age group, recognised the importance of this type of research and general practice as an appropriate setting. Key reasons for declining were: the perception of being already 'too active'; existing medical conditions; work; travel and other commitments. Less frequently cited reasons included reluctance to be randomised, the intervention's duration, wearing a pedometer, perceived inappropriateness of trial literature and a preference for a different kind of PA or for a group activity.Conclusions: Whilst most interviewees perceived themselves to be sufficiently active, an important minority did not participate due to existing medical conditions and other commitments. Recruitment to future PA trials might be improved by tailoring activity to compensate for medical problems, and adapting PA interventions to fit around work and travel commitments. Ensuring that patient-targeted literature is succinct and inclusive and that equipment is user-friendly are also important. Primary care is seen as an appropriate setting for PA trials and programmes.Trial Registration: ISRCTN98538934 . [ABSTRACT FROM AUTHOR]

The paper considers health-related non-response in the first 11 waves of the British Household Panel Survey and the full eight waves of the European Community Household Panel and explores its consequences for dynamic models of the association between socioeconomic status and self-assessed health. We describe the pattern of health-related non-response that is revealed by the British Household Panel Survey and European Community Household Panel data. We both test and correct for non-response in empirical models of the effect of socioeconomic status on self-assessed health. Descriptive evidence shows that there is health-related non-response in the data, with those in very poor initial health more likely to drop out, and variable addition tests provide evidence of non-response bias in the panel data models of self-reported health. Nevertheless a comparison of estimates—based on the balanced sample, the unbalanced sample and corrected for non-response by using inverse probability weights—shows that, on the whole, there are not substantive differences in the average partial effects of the variables of interest. The main differences are between unweighted and one form of inverse-probability-weighted estimates for the average partial effects of income and education in those countries that have fewer than eight waves of data. Similar findings have been reported concerning the limited influence of non-response bias in models of various labour market outcomes; we discuss possible explanations for our results. [ABSTRACT FROM AUTHOR]

Cathy Murray considers the involvement of children and young people in research in the field of adoption and fostering in the UK, based on a review in 2004 of the Quality Protects bibliographic database. The database comprises details of 182 research studies conducted since 1991, of which 72 were categorised as relevant to adoption and fostering. Of these, 38 (53 per cent) involved children and young people in the process. Three aspects of participation and non-participation in research are considered. First, researchers' reasons for involving children and young people are outlined. Secondly, the role of gatekeepers is examined. When embarking on the review, it had been anticipated that ethical and methodological concerns would be the key challenges to involving children and young people in research. However, gatekeepers emerged from the research outputs as equally significant. It is argued that while gatekeeping is played out in specific research projects as an apparently individualised response, it reflects the pervasiveness of a protectionist model of children and young people over a citizen-with-rights model. Thirdly, the strategies that researchers employed to increase the likelihood of children and young people's participation are reported. [ABSTRACT FROM AUTHOR]

Background: With declining rates of participation in epidemiological studies there is an important need to attempt to understand what factors might affect response. This study examines the pattern of response at different adult ages within a contemporary cross-sectional population-based cohort, the Cambridge Centre for Ageing and Neuroscience (Cam-CAN)., Methods: Using logistic regression, we investigated associations between age, gender and Townsend deprivation level for both participants and non-participants. Weighted estimates of the odds ratios with confidence intervals for each demographic characteristic were calculated. Reasons given for refusal were grouped into three broad categories: 'active', 'passive' and illness preventing interview., Results: An association of age and participation was found, with individuals in middle age groups more likely to participate (age group 48-57 OR: 1.8, 95% CI: 1.5-2.2 and age group 58-67 OR: 2.1, 95% CI: 1.7-2.4). Overall, there was no difference in participation between men and women. An association with deprivation was found, with those living in the most deprived areas being the least willing to participate (fifth quintile OR: 0.6, 95% CI: 0.5-0.7). An interaction between age and gender was found whereby younger women and older men were more likely to agree to participate (p = 0.01)., Conclusion: Our findings highlight some of the factors affecting recruitment into epidemiological studies in the UK and suggest that targeted age-specific recruitment strategies might be needed to increase participation rates in future cohort investigations.