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Articles by S. J Griffin
Total Records ( 2 ) for S. J Griffin
  U Ekelund , S Brage , S. J Griffin , N. J Wareham and the ProActive UK Research Group

Low levels of physical activity appear to be associated with insulin resistance. However, the detailed associations of these complex relationships remain elusive. We examined the prospective associations between self-reported TV viewing time, objectively measured time spent sedentary, at light-intensity activity, and at moderate- and vigorous-intensity physical activity (MVPA) with insulin resistance.


In 192 individuals (81 men and 111 women) with a family history of type 2 diabetes, we measured physical activity and anthropometric and metabolic variables at baseline and after 1 year of follow-up in the ProActive UK trial. Physical activity was measured objectively by accelerometry. Insulin resistance was expressed as fasting insulin and the homeostasis model assessment score (HOMA-IR).


Baseline MVPA was a significant predictor of fasting insulin at follow-up (β = –0.004 [95% CI –0.007 to –0.0001], P = 0.022), and the association approached significance for HOMA-IR (β = –0.003 [–0.007 to 0.000002], P = 0.052), independent of time spent sedentary, at light-intensity activity, sex, age, smoking status, waist circumference, and self-reported TV viewing. Time spent sedentary and at light-intensity activity were not significantly associated with insulin resistance. The change in MVPA between baseline and follow-up was inversely related to fasting insulin (β = –0.003 [–0.007 to –0.0003], P = 0.032) and the HOMA-IR score (β = –0.004 [–0.008 to –0.001], P = 0.015) at follow-up, after adjustment for baseline phenotype in addition to the same confounders as above.


These results highlight the importance of promoting moderate-intensity activity such as brisk walking for improving insulin sensitivity and possibly other metabolic risk factors to prevent type 2 diabetes.

  H. C Price , B Barrow , I Kennedy and S. J Griffin

Background. People need to perceive a risk in order to build an intention-to-change behaviour yet our ability to interpret information about risk is highly variable.

Objectives. We aimed to use a user-centred design process to develop an animated interface for the UK Prospective Diabetes Study (UKPDS) Risk Engine to illustrate cardiovascular disease (CVD) risk and the potential to reduce this risk. In addition, we sought to use the same approach to develop a brief lifestyle advice intervention.

Methods. Three focus groups were held. Participants were provided with examples of materials used to communicate CVD risk and a leaflet containing a draft brief lifestyle advice intervention and considered their potential to increase motivation-to-change behaviours including diet, physical activity, and smoking in order to reduce CVD risk. Discussions were tape-recorded, transcribed and coded and recurring themes sought.

Results. Sixty-two percent of participants were male, mean age was 66 years (range = 47–76 years) and median age at leaving full-time education was 18 years (range = 15–40 years). Sixteen had type 2 diabetes and none had a prior history of CVD. Recurring themes from focus group discussions included the following: being less numerate is common, CVD risk reduction is important and a clear visual representation aids comprehension.

Conclusion. A simple animated interface of the UKPDS Risk Engine to illustrate CVD risk and the potential for reducing this risk has been developed for use as a motivational tool, along with a brief lifestyle advice intervention. Future work will investigate whether use of this interactive version of the UKPDS Risk Engine and brief lifestyle advice is associated with increased behavioural intentions and changes in health behaviours designed to reduce CVD risk.

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