Physical Activity Levels in People with Cancer Undergoing Chemotherapy: A Systematic Review.

OBJECTIVES: Physical activity (PA) has been shown to improve chemotherapy side effects, survival rates and treatment adherence in people with cancer. This review aimed to identify whether people undergoing chemotherapy in different exercise interventions meet PA guidelines during chemotherapy. DATA SOURCES: Databases searched were CINAHL complete, PubMed, Cochrane Library, EMBASE, AMED, Joanna Briggs Institute, OVID MEDLINE, and Google Scholar. Eligibility and risk-of-bias were reviewed by two authors. PROSPERO registration: CRD42018093839. CONCLUSION: Thirty-three studies were eligible (14 randomized controlled trials, six pre-post, and 13 cross-sectional studies), which included 2,722 people with cancer undergoing chemotherapy. Studies (n = 11/13) found PA interventions successfully increased or maintained PA participation levels, whereas PA declined without intervention. This review has identified that due to limited evidence it is not possible to determine the most appropriate intervention to improve PA for people undergoing chemotherapy. Despite the well-documented benefits of PA, most people undergoing chemotherapy do not achieve the PA guidelines. Clinicians should be aware that during treatment, participants may not meet PA guidelines even if they participate in an intervention. However, interventions may prevent PA levels from declining. Further research is required to determine the most effective approaches to increase PA levels while undergoing chemotherapy. IMPLICATIONS FOR NURSING PRACTICE: Nurses are well placed to have conversations with patients undergoing chemotherapy regarding PA levels. PA should be considered as part of a treatment regimen. Tailored advice must be provided aiming to improve health outcomes. Referral to an exercise professional is best practice to improve the uptake of PA.

Behaviour change techniques in cardiovascular disease smartphone apps to improve physical activity and sedentary behaviour: Systematic review and meta-regression.

BACKGROUND: Smartphone apps are increasingly used to deliver physical activity and sedentary behaviour interventions for people with cardiovascular disease. However, the active components of these interventions which aim to change behaviours are unclear. AIMS: To identify behaviour change techniques used in smartphone app interventions for improving physical activity and sedentary behaviour in people with cardiovascular disease. Secondly, to investigate the association of the identified techniques on improving these behaviours. METHODS: Six databases (Medline, CINAHL Plus, Cochrane Library, SCOPUS, Sports Discus, EMBASE) were searched from 2007 to October 2020. Eligible studies used a smartphone app intervention for people with cardiovascular disease and reported a physical activity and/or sedentary behaviour outcome. The behaviour change techniques used within the apps for physical activity and/or sedentary behaviour were coded using the Behaviour Change Technique Taxonomy (v1). The association of behaviour change techniques on physical activity outcomes were explored through meta-regression. RESULTS: Forty behaviour change techniques were identified across the 19 included app-based interventions. Only two studies reported the behaviour change techniques used to target sedentary behaviour change. The most frequently used techniques for sedentary behaviour and physical activity were habit reversal and self-monitoring of behaviour respectively. In univariable analyses, action planning (ß =0.42, 90%CrI 0.07-0.78) and graded tasks (ß =0.33, 90%CrI -0.04-0.67) each had medium positive associations with increasing physical activity. Participants in interventions that used either self-monitoring outcome(s) of behaviour (i.e. outcomes other than physical activity) (ß = - 0.47, 90%CrI -0.79--0.16), biofeedback (ß = - 0.47, 90%CrI -0.81--0.15) and information about health consequences (ß = - 0.42, 90%CrI -0.74--0.07) as behaviour change techniques, appeared to do less physical activity. In the multivariable model, these predictors were not clearly removed from zero. CONCLUSION: The behaviour change techniques action planning and graded tasks are good candidates for causal testing in future experimental smartphone app designs.