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This study is a 3-arm randomized controlled trial including: (1) Adventure-based training intervention group, (2) WhatsApp intervention group and (3) Control group.
Depression and stress are obstacles of youth smokers to quit smoking, youth smokers who have positive thinking and less depression exhibited smoking abstinence at last. Adventure-based training could enhance participants' self-efficacy, self-esteem and also improve mental health of children and youth by doing physical activity. On the other hand, previous mobile phone-based studies (e.g. short messaging services or Apps) showed that the mental health of youth had been improved by providing instant response to the subjects when they felt depressed. A paper published recently proved that WhatsApp group could prevent relapse among the quitters. Thus, adventure-based training and social support in WhatsApp group would predict to reduce depression and stress so as to quit smoking in youth.
Allocation: Randomized, Intervention Model: Parallel Assignment, Masking: Open Label, Primary Purpose: Health Services Research
Adventure-based intervention group, WhatsApp intervention group, Control group
The University of Hong Kong
Hong Kong SAR
The University of Hong Kong
Published on BioPortfolio: 2017-01-18T05:53:21-0500
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A study in which observations are made before and after an intervention, both in a group that receives the intervention and in a control group that does not.
A study that compares a group of participants receiving an intervention with a similar group from the past who did not.
Groups that serve as a standard for comparison in experimental studies. They are similar in relevant characteristics to the experimental group but do not receive the experimental intervention.
Works about a study where participants are assigned to a treatment, procedure, or intervention by methods that are not random. Non-randomized clinical trials are sometimes referred to as quasi-experimental clinical trials or non-equivalent control group designs.
A study that uses observations at multiple time points before and after an intervention (the "interruption"), in an attempt to detect whether the intervention has had an effect significantly greater than any underlying trend over time.
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