Dropout from exercise trials among cancer survivors-An individual patient data meta-analysis from the POLARIS study.

INTRODUCTION: The number of randomized controlled trials (RCTs) investigating the effects of exercise among cancer survivors has increased in recent years; however, participants dropping out of the trials are rarely described. The objective of the present study was to assess which combinations of participant and exercise program characteristics were associated with dropout from the exercise arms of RCTs among cancer survivors. METHODS: This study used data collected in the Predicting OptimaL cAncer RehabIlitation and Supportive care (POLARIS) study, an international database of RCTs investigating the effects of exercise among cancer survivors. Thirty-four exercise trials, with a total of 2467 patients without metastatic disease randomized to an exercise arm were included. Harmonized studies included a pre and a posttest, and participants were classified as dropouts when missing all assessments at the post-intervention test. Subgroups were identified with a conditional inference tree. RESULTS: Overall, 9.6% of the participants dropped out. Five subgroups were identified in the conditional inference tree based on four significant associations with dropout. Most dropout was observed for participants with BMI >28.4 kg/m2 , performing supervised resistance or unsupervised mixed exercise (19.8% dropout) or had low-medium education and performed aerobic or supervised mixed exercise (13.5%). The lowest dropout was found for participants with BMI >28.4 kg/m2 and high education performing aerobic or supervised mixed exercise (5.1%), and participants with BMI ≤28.4 kg/m2 exercising during (5.2%) or post (9.5%) treatment. CONCLUSIONS: There are several systematic differences between cancer survivors completing and dropping out from exercise trials, possibly affecting the external validity of exercise effects.

Alternative Healthy Eating Index-2010 and Incident Non-Communicable Diseases: Findings from a 15-Year Follow Up of Women from the 1973-78 Cohort of the Australian Longitudinal Study on Women's Health.

Non-communicable diseases (NCDs) and multimorbidity (≥two chronic conditions), are increasing globally. Diet is a risk factor for some NCDs. We aimed to investigate the association between diet quality (DQ) and incident NCDs. Participants were from the Australian Longitudinal Study on Women's Health 1973-78 cohort with no NCD and completed dietary data at survey 3 (2003, aged 25-30 years) who responded to at least one survey between survey 4 (2006) and survey 8 (2018). DQ was measured by the Alternative Healthy Eating Index-2010 (AHEI-2010). Outcomes included coronary heart disease (CHD), hypertension (HT), asthma, cancer (excluding skin cancer), diabetes mellitus (DM), depression and/or anxiety, multimorbidity, and all-cause mortality. Repeated cross-sectional multivariate logistic regressions were performed to investigate the association between baseline DQ and NCDs over 15 years. The AHEI-2010 mean (±sd) for participants (n = 8017) was 51.6 ± 11.0 (range: 19-91). There was an inverse association between AHEI-2010 and incident asthma at survey 4 (ORQ5-Q1: 0.75, 95% CI: 0.57, 0.99). Baseline DQ did not predict the occurrence of any NCDs or multimorbidity between the ages of 25-45 years. Further well-planned, large prospective studies conducted in young women are needed to explore dietary risk factors before the establishment of NCDs.

The Barriers and Facilitators of Sport and Physical Activity Participation for Aboriginal Children in Rural New South Wales, Australia: A Photovoice Project.

Participating in physical activity is beneficial for health. Whilst Aboriginal children possess high levels of physical activity, this declines rapidly by early adolescence. Low physical activity participation is a behavioral risk factor for chronic disease, which is present at much higher rates in Australian Aboriginal communities compared to non-Aboriginal communities. Through photos and 'yarning', the Australian Aboriginal cultural form of conversation, this photovoice study explored the barriers and facilitators of sport and physical activity participation perceived by Aboriginal children (n = 17) in New South Wales rural communities in Australia for the first time and extended the limited research undertaken nationally. Seven key themes emerged from thematic analysis. Four themes described physical activity barriers, which largely exist at the community and interpersonal level of children's social and cultural context: the physical environment, high costs related to sport and transport, and reliance on parents, along with individual risk factors such as unhealthy eating. Three themes identified physical activity facilitators that exist at the personal, interpersonal, and institutional level: enjoyment from being active, supportive social and family connections, and schools. Findings highlight the need for ongoing maintenance of community facilities to enable physical activity opportunities and ensure safety. Children held strong aspirations for improved and accessible facilities. The strength of friendships and the family unit should be utilized in co-designed and Aboriginal community-led campaigns.

Diet Quality and Incident Non-Communicable Disease in the 1946-1951 Cohort of the Australian Longitudinal Study on Women's Health.

Diet quality indices (DQIs) can be useful predictors of diet-disease relationships, including non-communicable disease (NCD) multimorbidity. We aimed to investigate whether overall diet quality (DQ) predicted NCD, multimorbidity, and all-cause mortality. Women from the 1945-51 cohort of the Australia Longitudinal Study on Women's Health (ALSWH) were included if they: responded to S3 in 2001 and at least one survey between 2004 (S4) and 2016 (S8), and had no NCD history and complete dietary data at S3. DQ was summarized by the Healthy Eating Index for Australian Adults-2013 (HEIFA-2013), Mediterranean Diet Score (MDS), and Alternative Healthy Eating Index-2010 (AHEI-2010). Outcomes included each NCD (diabetes mellitus (DM), coronary heart disease (CHD), hypertension (HT), asthma, cancer (except skin cancer), depression and/or anxiety) independently, multimorbidity, and all-cause mortality. Repeated multivariate logistic regressions were used to test associations between DQIs and NCD outcomes across the 15 years of follow-up. The mean (±sd) of DQIs of participants (n = 5350) were 57.15 ± 8.16 (HEIFA-2013); 4.35 ± 1.75 (MDS), and 56.01 ± 10.32 (AHEI-2010). Multivariate regressions indicated that women reporting the highest quintile of AHEI-2010 had lower odds of DM (42-56% (S5-S8)), HT (26% (S8)), asthma (35-37% (S7, S8)), and multimorbidity (30-35% (S7, S8)). The highest quintile of HEIFA-2013 and MDS had lower odds of HT (26-35% (S7, S8); 24-27% (S6-S8), respectively) and depression and/or anxiety (30% (S6): 30-34% (S7, S8)). Our findings support evidence that DQ is an important predictor of some NCDs and a target for prevention in middle-aged women.

A 15-year follow-up study on long-term adherence to health behaviour recommendations in women diagnosed with breast cancer.

BACKGROUND: Whilst a cancer diagnosis may prompt health behaviour change, there is limited evidence regarding whether such changes are maintained in the long-term. We aimed to investigate the impact of cancer diagnosis on health behaviour changes over the long-term survivorship period among breast cancer survivors (BCSs). METHODS: The sample comprised 153 BCSs and 4778 cancer-free women, aged 49-55 years in 2001 (our baseline), from the 1946-1951 birth cohort of the Australian Longitudinal Study on Women's Health. Health behaviours (physical activity, smoking, alcohol, diet and Body Mass Index), recommended by the World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR), were assessed in five survivorship periods: ≤ 3 years, 3 to ≤ 6 years, 6 to ≤ 9 years, 9 to ≤ 12 years, and 12 to 15 years since diagnosis. A validated semi-quantitative Food Frequency Questionnaire was used for dietary assessment. Pre-diagnosis (baseline) health behaviours of BCSs and cancer-free women were compared (using Generalized Linear Models (GLM)). Multilevel (mixed effect) models were used for longitudinal data in BCSs. RESULTS: There was no significant difference in health behaviours between BCSs (prior to diagnosis) and cancer-free women. Following diagnosis, BCSs were significantly more physically active (≥ 600 MET min/week; 50.8% to 63.3%; p = 0.02) and consumed more fruit (≥ 2 serves/day; 57.4% to 66.4%; p = 0.01) in the recent survivorship period, but were less likely to be classified in the healthy weight range (p < 0.01). The proportion of non-drinkers and non-smokers slightly increased over the survivorship period. Whole-vegetable intake did not significantly change; however, the intake of non-starchy vegetables significantly increased from pre-diagnosis (LS mean = 89.1 g/day) to post-diagnosis, 6 to ≤ 9 years (LS mean = 137.1 g/day), and 9 to ≤ 12 years (LS mean = 120.8 g/day). There were no significant changes in the total intake of fibre, carotenoids, calcium, fat, saturated fat, vitamin C, or vitamin E observed, except for increased total energy intake (p = 0.012). CONCLUSION: Before diagnosis, BCSs had similar adherence to health behaviours compared to cancer-free women. Initial positive changes to health behaviours were observed post BC diagnosis, except healthy body weight, but maintenance of such changes over the long-term was poor. BCSs may benefit from additional advice and support to make healthy lifestyle choices throughout survivorship.

Multiple health behaviors before and after a cancer diagnosis among women: A repeated cross-sectional analysis over 15 years.

BACKGROUND: Cancer diagnosis may be a cue for health behavior change. Previous research that assessed the impact of a cancer diagnosis on multiple health behavior (MHB) change is limited by small sample size, cross-sectional study design, and a focus on individual rather than multiple behaviors. This study investigated the impact of a cancer diagnosis on compliance with MHB recommendations. METHODS: Data from Australian Longitudinal Study on Women's Health (ALSWH) were utilized. Compliance with MHB was assessed by cancer survivorship period; 0-3 years pre-diagnosis, 0-3 years postdiagnosis, 4-12 years postdiagnosis, and compared to controls. A MHB score based on the WCRF/AICR guidelines was calculated for six behaviors (physical activity, smoking, alcohol, BMI, fruit, and vegetable intake); scores ranged from 0 to 6, with a higher score indicating higher compliance. Generalized estimating equation (GEE) was used for statistical analysis. RESULTS: Participants comprised 7585 women from the 2001 ALSWH survey, of whom 2285 developed cancer during 15 years of follow-up. Compared to controls, the mean MHB score was slightly lower (Mean Difference (MD) = -0.015, P > .05) in survivors pre-diagnosis, after adjusting for confounders; however, the compliance score increased during postdiagnosis, with the mean difference score being significantly higher in recent survivors (0-3 years post diagnosis; MD = 0.055, P < .01). Likewise, within cancer survivors, the mean compliance score significantly increased 0-3 years postdiagnosis (MD = 0.07, P < .05) compared to pre-diagnosis, but this significant improvement was not maintained over the longer term (MD = 0.037, P > .05). CONCLUSION: In this sample, survivors had higher MHB score than controls. A cancer diagnosis may provide a teachable moment for health behavior change in the period immediately following diagnosis, but this effect was not sustained during longer-term survivorship.

Moderators of Exercise Effects on Cancer-related Fatigue: A Meta-analysis of Individual Patient Data.

PURPOSE: Fatigue is a common and potentially disabling symptom in patients with cancer. It can often be effectively reduced by exercise. Yet, effects of exercise interventions might differ across subgroups. We conducted a meta-analysis using individual patient data of randomized controlled trials (RCT) to investigate moderators of exercise intervention effects on cancer-related fatigue. METHODS: We used individual patient data from 31 exercise RCT worldwide, representing 4366 patients, of whom 3846 had complete fatigue data. We performed a one-step individual patient data meta-analysis, using linear mixed-effect models to analyze the effects of exercise interventions on fatigue (z score) and to identify demographic, clinical, intervention- and exercise-related moderators. Models were adjusted for baseline fatigue and included a random intercept on study level to account for clustering of patients within studies. We identified potential moderators by testing their interaction with group allocation, using a likelihood ratio test. RESULTS: Exercise interventions had statistically significant beneficial effects on fatigue (ß = -0.17; 95% confidence interval [CI], -0.22 to -0.12). There was no evidence of moderation by demographic or clinical characteristics. Supervised exercise interventions had significantly larger effects on fatigue than unsupervised exercise interventions (ßdifference = -0.18; 95% CI -0.28 to -0.08). Supervised interventions with a duration ≤12 wk showed larger effects on fatigue (ß = -0.29; 95% CI, -0.39 to -0.20) than supervised interventions with a longer duration. CONCLUSIONS: In this individual patient data meta-analysis, we found statistically significant beneficial effects of exercise interventions on fatigue, irrespective of demographic and clinical characteristics. These findings support a role for exercise, preferably supervised exercise interventions, in clinical practice. Reasons for differential effects in duration require further exploration.

Adherence to multiple health behaviours in cancer survivors: a systematic review and meta-analysis.

PURPOSE: Multiple health behaviours (not smoking, minimal alcohol consumption, and maintaining a healthy weight by having a healthy diet and regular physical activity) improve quality of life and longevity of cancer survivors. Despite international guidelines, there are no existing reviews that synthesise cancer survivors' adherence to healthy lifestyle recommendations. METHOD: Five databases (Embase, MEDLINE, PsycINFO, Web of Science, and Google Scholar) were searched for relevant articles published from 2007 until January 2018. Studies reporting adult cancer survivors' adherence to at least two lifestyle behaviours (body mass index, physical activity, smoking, fruit and vegetable intake, fiber intake, red meat intake, caloric intake, sodium intake, and alcohol consumption) based on the World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) recommendations were included in the review. The pooled prevalence of adherence to single and multiple behaviours was calculated using a random-effects model. Subgroup analysis (mean years of survival and publication year) was undertaken. RESULTS: A total of 3322 articles were identified. Of these, 51 studies matched the inclusion criteria, presenting data from 2,620,586 adult cancer survivors. Adherence to single behaviours, which was estimated from studies that assessed at least two health behaviours, was highest for not smoking (PE 87%; 95% CI, 85%, 88%) and low or no alcohol intake (PE 83%; 95% CI, 81%, 86%), and lowest for fiber intake (PE 31%; 95% CI, 21%, 40%). Adherence to multiple healthy behaviours (13 studies), ranged from 7 to 40% (pooled estimate (PE) 23%; 95% CI, 17%, 30%). Recent survivors (< 5-year survival time) had relatively better adherence to multiple behaviours (PE 31%; 95% CI, 27%, 35%) than long-term (> 5 years) survivors (PE 25%; 95% CI, 14%, 36%). Adherence to multiple behaviours improved over time since 2007. CONCLUSION: Adherence to physical activity, dietary, and multiple lifestyle behaviours recommendations was low amongst cancer survivors. Recent cancer survivors were relatively more adherent to WCRF/AICR recommendations compared to long-term survivors. IMPLICATIONS FOR CANCER SURVIVORS: Health promotion programs help support healthy lifestyle behaviours of cancer survivors. PROSPERO registration number: CRD42018091663.

Compliance with Multiple Health Behaviour Recommendations: A Cross-Sectional Comparison between Female Cancer Survivors and Those with no Cancer History.

Lifestyle behaviours have an important role in preventing cancer, reducing treatment side effects, and improving survival and quality of life for cancer survivors. This study investigated adherence to multiple lifestyle behaviours among women with and without a cancer history. From the Australian Longitudinal Study on Women's Health (ALSWH) surveys, 2407 cancer survivors and 3896 controls (cancer free population) were identified. Based on the World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR) recommendations, adherence to six health behaviours (smoking, physical activity, fruit and vegetable intake, alcohol consumption, sugary drink intake, and Body Mass Index [BMI]) were assessed. Overall adherence was low, and there were no differences between survivors and controls on adherence to any of the six individual health behaviours. However, both recent and long-term cancer survivors were more likely than controls to adhere to multiple health behaviours (p < 0.05). When participants with melanoma or non-melanoma skin cancer were excluded, adherence was less likely (but not significant) in the cancer group than controls. Higher education (p < 0.01), being married (p < 0.01), and lower comorbidity of chronic illnesses (p < 0.01) were significantly associated with adherence to multiple lifestyle behaviours. Overall, the findings suggest that a cancer diagnosis may result in increased compliance with multiple health behaviour guidelines.

Targeting Exercise Interventions to Patients With Cancer in Need: An Individual Patient Data Meta-Analysis.

Background: Exercise effects in cancer patients often appear modest, possibly because interventions rarely target patients most in need. This study investigated the moderator effects of baseline values on the exercise outcomes of fatigue, aerobic fitness, muscle strength, quality of life (QoL), and self-reported physical function (PF) in cancer patients during and post-treatment. Methods: Individual patient data from 34 randomized exercise trials (n = 4519) were pooled. Linear mixed-effect models were used to study moderator effects of baseline values on exercise intervention outcomes and to determine whether these moderator effects differed by intervention timing (during vs post-treatment). All statistical tests were two-sided. Results: Moderator effects of baseline fatigue and PF were consistent across intervention timing, with greater effects in patients with worse fatigue (Pinteraction = .05) and worse PF (Pinteraction = .003). Moderator effects of baseline aerobic fitness, muscle strength, and QoL differed by intervention timing. During treatment, effects on aerobic fitness were greater for patients with better baseline aerobic fitness (Pinteraction = .002). Post-treatment, effects on upper (Pinteraction < .001) and lower (Pinteraction = .01) body muscle strength and QoL (Pinteraction < .001) were greater in patients with worse baseline values. Conclusion: Although exercise should be encouraged for most cancer patients during and post-treatments, targeting specific subgroups may be especially beneficial and cost effective. For fatigue and PF, interventions during and post-treatment should target patients with high fatigue and low PF. During treatment, patients experience benefit for muscle strength and QoL regardless of baseline values; however, only patients with low baseline values benefit post-treatment. For aerobic fitness, patients with low baseline values do not appear to benefit from exercise during treatment.

Process redesign of a surgical pathway improves access to cataract surgery for Aboriginal and Torres Strait Islander people in South East Queensland.

The Institute for Urban Indigenous Health (IUIH) aimed to improve access to cataract surgery in urban South East Queensland (SEQ) for Indigenous Australians, without compromising clinical visual outcomes. The Penchansky and Levesque concept of access as the 'fit' between the patient's needs and the ability of the system to meet those needs was used to inform the redesign of the mainstream cataract surgical pathway. The IUIH staff and community stakeholders mapped the traditional external cataract surgical pathway and then innovatively redesigned it to reduce the number of patients being removed by the system at key transition points. The integration of eye health within the primary health care (PHC) clinic has improved the continuity and coordination of care along the surgical pathway, and ensured the sustainability of collaborative partnerships with key external organisations. Audit data demonstrated a significant increase in utilisation of cataract surgical services after the process redesign. Previous studies have found that PHC models involving integration, coordination and continuity of care enhance patient health outcomes; however, the IUIH surgical model extends this to tertiary care. There is scope to apply this model to other surgical pathways and communities who experience access inequity.

Maintenance of Lifestyle Changes at 12-month Follow-up in a Nutrition and Physical Activity Trial for Cancer Survivors.

OBJECTIVES: In this paper, we report maintenance of behavior change in a nutrition and physical activity intervention for cancer survivors at 12-months follow-up. METHODS: The ENRICH (Exercise and Nutrition Routine Improving Cancer Health) program was an 8-week face-to-face program for cancer survivors and caregivers, focused on healthy eating, healthy weight, resistance training, and a walking program. Randomized controlled trial participants completed a survey and 7-days of pedometry at baseline, 8-weeks, and 20-weeks. Intervention participants completed 12-month measures. Maintenance was assessed by examining change between 20-weeks and 12-months for cancer survivors. RESULTS: Sixty cancer survivors in the intervention group completed baseline data collection, and 29 (48%) completed 12-month assessments. Initial improvements in step counts, weight, and body mass index were maintained from 20-weeks to 12-months. Vegetable consumption declined significantly (difference -30g/day; p = .04). Moderate-to-vigorous physical activity increased significantly (difference 55 minutes/week; p = .05). CONCLUSIONS: Physical activity and weight improvements were maintained over 12-months indicating the potential for a multiple health behavior intervention to help cancer survivors sustain improvements to lifestyle behaviors. Additional support is warranted to assist cancer survivors to make and maintain dietary changes.

Identification of cancer risk and associated behaviour: implications for social marketing campaigns for cancer prevention.

BACKGROUND: Community misconception of what causes cancer is an important consideration when devising communication strategies around cancer prevention, while those initiating social marketing campaigns must decide whether to target the general population or to tailor messages for different audiences. This paper investigates the relationships between demographic characteristics, identification of selected cancer risk factors, and associated protective behaviours, to inform audience segmentation for cancer prevention social marketing. METHODS: Data for this cross-sectional study (n = 3301) are derived from Cancer Council New South Wales' 2013 Cancer Prevention Survey. Descriptive statistics and logistic regression models were used to investigate the relationship between respondent demographic characteristics and identification of each of seven cancer risk factors; demographic characteristics and practice of the seven 'protective' behaviours associated with the seven cancer risk factors; and identification of cancer risk factors and practising the associated protective behaviours, controlling for demographic characteristics. RESULTS: More than 90% of respondents across demographic groups identified sun exposure and smoking cigarettes as moderate or large cancer risk factors. Around 80% identified passive smoking as a moderate/large risk factor, and 40-60% identified being overweight or obese, drinking alcohol, not eating enough vegetables and not eating enough fruit. Women and older respondents were more likely to identify most cancer risk factors as moderate/large, and to practise associated protective behaviours. Education was correlated with identification of smoking as a moderate/large cancer risk factor, and with four of the seven protective behaviours. Location (metropolitan/regional) and country of birth (Australia/other) were weak predictors of identification and of protective behaviours. Identification of a cancer risk factor as moderate/large was a significant predictor for five out of seven associated cancer-protective behaviours, controlling for demographic characteristics. CONCLUSIONS: These findings suggest a role for both audience segmentation and whole-of-population approaches in cancer-prevention social marketing campaigns. Targeted campaigns can address beliefs of younger people and men about cancer risk factors. Traditional population campaigns can enhance awareness of being overweight, alcohol consumption, and poor vegetable and fruit intake as cancer risk factors.

Effects and moderators of exercise on quality of life and physical function in patients with cancer: An individual patient data meta-analysis of 34 RCTs.

This individual patient data meta-analysis aimed to evaluate the effects of exercise on quality of life (QoL) and physical function (PF) in patients with cancer, and to identify moderator effects of demographic (age, sex, marital status, education), clinical (body mass index, cancer type, presence of metastasis), intervention-related (intervention timing, delivery mode and duration, and type of control group), and exercise-related (exercise frequency, intensity, type, time) characteristics. Relevant published and unpublished studies were identified in September 2012 via PubMed, EMBASE, PsycINFO, and CINAHL, reference checking and personal communications. Principle investigators of all 69 eligible trials were requested to share IPD from their study. IPD from 34 randomised controlled trials (n=4519 patients) that evaluated the effects of exercise compared to a usual care, wait-list or attention control group on QoL and PF in adult patients with cancer were retrieved and pooled. Linear mixed-effect models were used to evaluate the effects of the exercise on post-intervention outcome values (z-score) adjusting for baseline values. Moderator effects were studies by testing interactions. Exercise significantly improved QoL (ß=0.15, 95%CI=0.10;0.20) and PF (ß=0.18, 95%CI=0.13;0.23). The effects were not moderated by demographic, clinical or exercise characteristics. Effects on QoL (ßdifference_in_effect=0.13, 95%CI=0.03;0.22) and PF (ßdifference_in_effect=0.10, 95%CI=0.01;0.20) were significantly larger for supervised than unsupervised interventions. In conclusion, exercise, and particularly supervised exercise, effectively improves QoL and PF in patients with cancer with different demographic and clinical characteristics during and following treatment. Although effect sizes are small, there is consistent empirical evidence to support implementation of exercise as part of cancer care.

Comparative efficacy of simultaneous versus sequential multiple health behavior change interventions among adults: A systematic review of randomised trials.

BACKGROUND: Growing evidence points to the benefits of addressing multiple health behaviors rather than single behaviors. PURPOSE: This review evaluates the relative effectiveness of simultaneous and sequentially delivered multiple health behavior change (MHBC) interventions. Secondary aims were to identify: a) the most effective spacing of sequentially delivered components; b) differences in efficacy of MHBC interventions for adoption/cessation behaviors and lifestyle/addictive behaviors, and; c) differences in trial retention between simultaneously and sequentially delivered interventions. METHODS: MHBC intervention trials published up to October 2015 were identified through a systematic search. Eligible trials were randomised controlled trials that directly compared simultaneous and sequential delivery of a MHBC intervention. A narrative synthesis was undertaken. RESULTS: Six trials met the inclusion criteria and across these trials the behaviors targeted were smoking, diet, physical activity, and alcohol consumption. Three trials reported a difference in intervention effect between a sequential and simultaneous approach in at least one behavioral outcome. Of these, two trials favoured a sequential approach on smoking. One trial favoured a simultaneous approach on fat intake. There was no difference in retention between sequential and simultaneous approaches. CONCLUSIONS: There is limited evidence regarding the relative effectiveness of sequential and simultaneous approaches. Given only three of the six trials observed a difference in intervention effectiveness for one health behavior outcome, and the relatively consistent finding that the sequential and simultaneous approaches were more effective than a usual/minimal care control condition, it appears that both approaches should be considered equally efficacious. PROSPERO registration number: CRD42015027876.

Demographic, clinical, psychosocial, and environmental correlates of objectively assessed physical activity among breast cancer survivors.

PURPOSE: The aim of this study was to identify demographic, clinical, psychosocial, and environmental correlates of objectively assessed physical activity among breast cancer survivors. METHODS: Baseline data were utilized from 574 female breast cancer survivors who participated in three different intervention studies: Resistance and Endurance exercise After ChemoTherapy (REACT), Exercise and Nutrition Routine Improving Cancer Health (ENRICH), and Move More for Life (MM4L). Participants were eligible if they were aged ≥18 years and had completed primary cancer treatment. Physical activity was objectively assessed by accelerometers or pedometers. Participants completed self-reported questionnaires on demographic, psychosocial, and environmental factors. Information regarding clinical factors was obtained from medical records or patient self-report. Multivariable linear regression analyses were applied on the pooled dataset to identify factors that were significantly correlated with physical activity. In addition, the explained variance of the model was calculated. RESULTS: The multivariable regression model revealed that older age, (ß = -0.01, 95 %CI = -0.02; -0.003), higher body mass index (ß = -0.05, 95 %CI = -0.06; -0.03), lower self-efficacy (ß = 0.2, 95 %CI = 0.08; 0.2), and less social support (ß = 0.1, 95 %CI = 0.05; 0.2) were significantly correlated with lower physical activity. This model explained 15 % of the variance in physical activity. CONCLUSION: Age, body mass index, self-efficacy, and social support were significantly correlated with objectively assessed physical activity in breast cancer survivors. It may therefore be recommended that physical activity intervention studies in these women target those who are older, and have a higher body mass index, and should operationalize behavior change strategies designed to enhance self-efficacy and social support. TRIAL REGISTRATION: The REACT study is registered at the Netherlands Trial Register [NTR2153]. The ENRICH study is registered at Australian New Zealand Clinical Trials Register [ANZCTRN12609001086257]. And the MM4L study is registered at Australian New Zealand Clinical Trials Register [ACTRN12611001061921].

Factors associated with higher sitting time in general, chronic disease, and psychologically-distressed, adult populations: findings from the 45 & up study.

This study examined factors associated with higher sitting time in general, chronic disease, and psychologically-distressed, adult populations (aged ≥45 years). A series of logistic regression models examined potential socio-demographic and health factors associated with higher sitting (≥6hrs/day) in adults from the 45 and Up Study (n = 227,187), including four separate subsamples for analysis comprising those who had ever had heart disease (n = 26,599), cancer (n = 36,381), diabetes (n = 19,550) or psychological distress (n = 48,334). Odds of higher sitting were significantly (p<.01) associated with a number of factors across these groups, with an effect size of ORs≥1.5 observed for the high-income ≥$70,000AUD, employed full-time and severe physical limitations demographics. Identification of key factors associated with higher sitting time in this population-based sample will assist development of broad-based, public health and targeted strategies to reduce sitting-time. In particular, those categorized as being high-income earners, full-time workers, as well as those with severe physical limitations need to be of priority, as higher sitting appears to be substantial across these groups.

A systematic review and meta-analysis of social cognitive theory-based physical activity and/or nutrition behavior change interventions for cancer survivors.

PURPOSE: Little is known about how to improve and create sustainable lifestyle behaviors of cancer survivors. Interventions based on social cognitive theory (SCT) have shown promise. This review examined the effect of SCT-based physical activity and nutrition interventions that target cancer survivors and identified factors associated with their efficacy. METHODS: A systematic search of seven databases identified randomized controlled trials that (i) targeted adult cancer survivors (any point from diagnosis); (ii) reported a primary outcome of physical activity, diet, or weight management; and (iii) included an SCT-based intervention targeting physical activity or diet. Qualitative synthesis and meta-analysis were conducted. Theoretical constructs and intervention characteristics were examined to identify factors associated with intervention efficacy. RESULTS: Eighteen studies (reported in 33 publications) met review inclusion criteria. Meta-analysis (n = 12) revealed a significant intervention effect for physical activity (standardized mean difference (SMD) = 0.33; P < 0.01). Most studies (six out of eight) that targeted dietary change reported significant improvements in at least one aspect of diet quality. No SCT constructs were associated with intervention effects. There were no consistent trends relating to intervention delivery method or whether the intervention targeted single or multiple behaviors. CONCLUSIONS: SCT-based interventions demonstrate promise in improving physical activity and diet behavior in cancer survivors, using a range of intervention delivery modes. Further work is required to understand how and why these interventions offer promise for improving behavior. IMPLICATIONS FOR CANCER SURVIVORS: SCT-based interventions targeting diet or physical activity are safe and result in meaningful changes to diet and physical activity behavior that can result in health improvements.

Main outcomes of the Move More for Life Trial: a randomised controlled trial examining the effects of tailored-print and targeted-print materials for promoting physical activity among post-treatment breast cancer survivors.

BACKGROUND: Participation in physical activity can improve the health outcomes of breast cancer survivors. To impact public health, broad-reaching sustainable interventions that promote physical activity are needed. PURPOSE: To evaluate the efficacy of two distance-based interventions for promoting physical activity among breast cancer survivors compared with a standard recommendation control. METHODS: Breast cancer survivors who had finished 'active' cancer treatment were eligible to participate. Participants (n = 330) were randomly assigned to receive one of the following mail-delivered interventions: three computer-tailored newsletters, a previously developed breast cancer-specific physical activity booklet or a pamphlet detailing the public health recommendations for physical activity (control). Primary outcomes were self-reported moderate to vigorous aerobic activity and participant's self-reported resistance training activity at 4 months post-baseline. Secondary outcomes were pedometer step counts, whether or not participants were meeting the physical activity guidelines, time spent in sedentary behaviour, fatigue and health-related quality of life. RESULTS: Participants randomised into the tailored-print intervention group were three times more likely to commence resistance training and meet the resistance-training guidelines immediately after the intervention than participants allocated to the control group. There were no other significant intervention effects. CONCLUSION: Computer-tailored newsletters may be an effective strategy for enhancing resistance-based physical activity among breast cancer survivors. The null findings relating to other outcomes may be due to ceiling effects (in the case of aerobic activity, fatigue and health-related quality of life) or the sensitivity of the measure used (in the case of sitting time). These issues require further exploration.