The effects of a lifestyle intervention on leisure-time sedentary behaviors in adults at risk: The Hoorn Prevention Study, a randomized controlled trial☆
Introduction
Sedentary behavior has recently been identified as public health problem. Sedentary behavior, which is distinctly different from physical inactivity, is defined as activities that are done sitting or in reclining posture that expend less than 1.5 times the basal metabolic rate (Sedentary Behaviour Research Network, 2012). Previous large population-based studies showed that high levels of sedentary behavior (such as prolonged television viewing or sitting in a car) are associated with increased risk of having metabolic syndrome (Edwardson et al., 2012), type 2 diabetes (T2DM; Grontved and Hu, 2011, van Uffelen et al., 2010, Wilmot et al., 2012), cardiovascular diseases (CVD; Grontved and Hu, 2011, Wilmot et al., 2012) and mortality (Dunstan et al., 2009, Grontved and Hu, 2011, van Uffelen et al., 2010, Wijndaele et al., 2010, Wilmot et al., 2012), independent of physical activity.
Sedentary behaviors are increasingly prevalent in modern society. The number of sedentary jobs has been steadily increasing over the past 50 years (Church et al., 2011), as has time spent in inactive transport modes (Brownson et al., 2005), watching TV (Brownson et al., 2005) and using a computer (Chau et al., 2012). A recent study showed that in 2006, Australian adults spent 90% of leisure time sedentary (Chau et al., 2012), and 53% of that time was spent on screen-based activities (i.e., watching TV and using the computer).
Although sedentary behavior research has expanded rapidly over the past decade, studies that evaluate interventions influencing sedentary behaviors are scarce, especially for adults (Owen et al., 2011). Little is known about how best to change sedentary behavior in this age group, as nearly all of the intervention work has been with young people and sedentary screen time (Wilmot et al., 2012). It has been suggested that future diabetes prevention programs should consider promoting reduced sedentary behavior alongside more traditional lifestyle behaviors such as physical activity and diet (Wilmot et al., 2012), and one suggested approach is to examine sedentary behavior change following interventions to increase physical activity (Owen et al., 2011).
We developed and implemented a feasible lifestyle intervention for the primary prevention of T2DM and CVD, tailored to the available resources and infrastructure for national primary health care services in the Netherlands. The intervention consisted of a cognitive behavior program, based on the theory of planned behavior (TPB) and the theory of self-regulation, and was performed in a primary health care setting. A key element of this trial was that the participants were supported in their motivation and self-empowerment to make sustainable changes in lifestyle behaviors by means of a combination of practical, evidence-based tools. The intervention targeted adults at risk for T2DM and CVD and focused especially on physical activity, dietary behavior and smoking (Lakerveld et al., 2008). The effects of the intervention on these specific lifestyle behaviors, disease risk and on its cost-effectiveness are published elsewhere (Lakerveld et al., 2013, van Wier et al., 2013). The interventions' overall aim was to increase awareness and motivation to adopt a healthier lifestyle, which included getting participants “out of their chair” to reduce their risk for chronic diseases. Targeting this high-risk group may particularly be meaningful, as a recent longitudinal study showed that shorter sitting times and sufficient physical activity are independently protective against all-cause mortality not just for healthy individuals but also for those with T2DM and CVD risk (van der Ploeg et al., 2012).
The aims of this study are to evaluate the effects of the lifestyle intervention on typical domains of leisure-time sedentary behaviors including TV viewing, computer use and reading in adults at risk of developing T2DM and CVD.
Section snippets
Study design and participants
The Hoorn Prevention Study is a parallel randomized controlled trial set out to study the effects of a lifestyle intervention in adults at risk for T2DM and CVD. The protocol and background information, including the underlying theory, has been reported in detail previously (Lakerveld et al., 2008). In short, a total of 8,193 men and women aged 30–50 years and living in the semi-rural region of West Friesland, the Netherlands, were enrolled after a selective screening procedure (Fig. 1). Contact
Results
Fig. 1 shows the trial's flow chart. A total of 622 participants were randomly assigned to receive either the lifestyle intervention (n = 314) or health brochures (n = 308). The baseline characteristics of the participants in both groups were similar (Table 1). A dropout analysis showed no significant differences in baseline values of the participant characteristics and risk for T2DM and CVDs between participants who completed the study and those who dropped out (data not shown). All except 15
Discussion
In the current study, we evaluated the effects of a theory-based lifestyle intervention on leisure-time sedentary behaviors in adults at risk for T2DM and CVD. The results indicate that the intervention was ineffective in reducing overall and domain-specific sedentary behaviors. Stratified analyses for educational attainment revealed a small and temporary between-group difference in favor of the intervention group, in those who finished secondary school.
For the complete study sample,
Conclusion
A health promotion program focused on changing lifestyle behaviors in a primary care setting was not more (or less) effective in reducing leisure-time sedentary behaviors than providing brochures in adults at risk for chronic diseases.
Conflict of interest statement
The authors declare that they do not have a conflict of interest.
Acknowledgments
The authors like to thank Mareike Haupt and the staff of the Diabetes Research Centre in Hoorn for their valuable contributions to this study. This study was funded by the Netherlands Organization for Health Research and Development.
References (35)
- et al.
Sit-stand workstations: a pilot intervention to reduce office sitting time
Am. J. Prev. Med.
(2012) - et al.
Are workplace interventions to reduce sitting effective? A systematic review
Prev. Med.
(2010) - et al.
Feasibility of reducing older adults' sedentary time
Am. J. Prev. Med.
(2011) - et al.
Abdominal obesity, TV-viewing time and prospective declines in physical activity
Prev. Med.
(2011) - et al.
Adults' sedentary behavior: determinants and interventions
Am. J. Prev. Med.
(2011) - et al.
Occupational sitting and health risks: a systematic review
Am. J. Prev. Med.
(2010) - et al.
Declining rates of physical activity in the United States: what are the contributors?
Annu. Rev. Public Health
(2005) - et al.
Sedentary behavior, physical activity, and psychological health of Korean older adults with hypertension: effect of an empowerment intervention
Res. Gerontol. Nurs.
(2013) - et al.
Temporal trends in non-occupational sedentary behaviours from Australian Time Use Surveys 1992, 1997 and 2006
Int. J. Behav. Nutr. Phys. Act.
(2012) - et al.
Reliability and validity of the Activity Questionnaire for Adults and Adolescents (AQuAA)
BMC Med. Res. Methodol.
(2009)
Trends over 5 decades in U.S. occupation-related physical activity and their associations with obesity
PLoS One
Adults' Past-Day Recall of Sedentary Time: Reliability, Validity and Responsiveness
Med. Sci. Sports Exerc.
Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project
Eur. Heart J.
Mail and Internet Surveys: The Tailored Design Method
Television viewing time and mortality: the AusDiab Study
Circulation
Association of sedentary behaviour with metabolic syndrome: a meta-analysis
PLoS One
Sedentary behaviour and cardiovascular disease: a review of prospective studies
Int. J. Epidemiol.
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Trial registration: Current Controlled Trials ISRCTN59358434.