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61 active trials for Sedentary Behavior

Intervention Study: Genetic Risk Communication and Wearables

This study aims to determine the effects of communicating genetic risk for type 2 diabetes (T2D) alone or in combination with goal setting and prompts from a wearable device on objectively measured physical activity (PA) and sedentary behavior (SB) in East Asians. It is hypothesized that this combination will lead to significant favorable changes in objectively measured PA and SB, and that such changes will be more likely to be sustained over 6-month follow-up. This study aims to recruit 150 healthy East Asian adults in Hong Kong. At baseline, participants will be invited to visit the research laboratory for measurement of a series of variables including height, body weight, blood pressure and grip strength. Participants will also be invited to complete a set of questionnaires to assess their self-reported PA and SB, fruit and vegetable consumption, smoking status and psychological variables. Blood samples will be collected to analyze key diabetes and cardiovascular disease biochemical markers as well as their estimated genetic risk of T2D. Each individual's unique genetic risk for T2D will be estimated on the basis of established genetic variants associated with T2D specifically for East Asians. Each participant will be asked to wear a Fitbit Charge 4 tracker, an objective activity monitoring device, throughout the entire trial. Participants will be randomly allocated into 3 groups: 1 control and 2 intervention groups. A control group will receive an e-leaflet containing general lifestyle advice for prevention of T2D. An intervention group will receive an estimated genetic risk of T2D, in addition to the e-leaflet. The other intervention group will have a Fitbit step goal set 10% higher than their baseline step count and use prompt functions of the Fitbit tracker, in addition to the genetic risk estimate and e-leaflet. Activity data from the Fitbit will be collected at 4-week post-intervention; information about lifestyle and psychological variables will be assessed through the questionnaires at both immediate and 4-week post-intervention. To determine the longer-term effect of the intervention, participants will be asked to visit the research laboratory 6 months after the intervention to repeat the same set of assessments as baseline, except the blood samples collected at 6-month follow-up are used only to analyze cardiometabolic risk profiles (not genetic risk). Activity levels will also be objectively measured using the Fitbit for 4 weeks.

Start: May 2021
Choose to Move - Next Steps: Can 'Booster Sessions' Sustain Health Benefits of an Effective, Scaled-up, Health Promotion Program?

One-third of Canadians will be older adults (>65y) by 2050. Thus, healthy aging is a public health priority. Many older adult health promoting interventions have been implemented, yet few were scaled-up and sustained. Choose to Move (CTM) is an effective, adaptable, community-based health promotion program for older adults. CTM, co-created with government and community stakeholders, has been scaled-up across British Columbia (BC) using a phased approach (2015-2021). The investigators evaluated the impact of CTM on the health of seniors who participated and the results were extremely positive: CTM increased mobility, physical activity, social connectedness and improved mental health indicators like loneliness. When these outcomes were assessed again, one year after the end of CTM, these improvements had diminished. In this trial the investigators aim to determine if health benefits of CTM can be maintained by providing ongoing support to CTM participants. Booster interventions have been defined as "brief contacts beyond the main part of the intervention to reinforce previous intervention content" (Fjeldsoe et al., 2011, p. 601). Choose to Move - Next Steps (CTM-NS) is a two-year intervention where participants who recently completed CTM will receive different doses of a 'booster' program. Specifically, participants will be randomly allocated to virtual group meetings on a monthly (study arm 1; high dose) or quarterly (study arm 2; low dose) basis. Group meetings will be facilitated by an Activity Coach. Objectives: The investigators will conduct 1) impact, 2) implementation, and 3) economic evaluations of CTM-NS across 24 months. Hypotheses: For objective 1, the investigators hypothesize that improvements in older adult participant outcomes (primary outcome: mobility; secondary outcomes: physical activity, loneliness, social isolation, social connectedness, sitting time, screen time, social network, health status) obtained during CTM will be maintained over the 2 year CTM-NS study. Participants in the monthly group meetings (study arm 1) will maintain benefits to a greater degree than participants in the quarterly group meetings (study arm 2). Objectives 2 and 3 are descriptive and therefore have no hypotheses.

Start: December 2020
Multiphase Optimization Trial of Incentives for Veterans to Encourage Walking

Regular physical activity (PA) is essential to healthy aging. Unfortunately, only 5% of US adults meet guideline of 150 minutes of moderate exercise; Veterans and non-Veterans have similar levels of PA. A patient incentive program for PA may help. Behavioral economics suggests that the chronic inability to start and maintain a PA routine may be the result of "present bias," which is a tendency to value immediate rewards over rewards in the future. With present bias, it is always better to exercise tomorrow because the immediate gratification of watching television or surfing the internet is a more powerful motivator than the intangible and delayed benefit of future health. Patient incentives may overcome present bias by moving the rewards for exercise forward in time. Recent randomized trials suggest that incentives for PA can be effective, but substantial gaps in knowledge prevent the implementation of a PA incentive program in Veterans Affairs (VA). First, incentive designs vary considerably. They vary by the size of the incentive, the type of incentive (cash or non-financial), the probability of earning an incentive (an assured payment for effort or a lottery-based incentive), or whether the incentive is earned after the effort is given (a gain-framed incentive) or awarded up-front and lost if the effort is not given (a loss-framed incentive). The optimal combination of these components for a Veteran population is unknown. Second, the evidence about the effective components of incentives comes from studies conducted in populations that were overwhelmingly female; often employees at large companies, with high levels of education and income. VA users, in contrast, are mostly male and lower income, and most are not employed. This is important because the investigators have theoretical reasons to believe that the effects of components of incentives are likely to vary by income and gender. Finally, few studies have managed to design an incentive such that the physical activity was maintained after the incentive was removed. Indeed, a common theme in incentivizing health behavior change is the difficulty in sustaining behavior change once the incentives are removed.

Start: June 2021