Physical Activity In Primary Care Research Articles

Promotion of Physical Activity by Québec Primary Care Physicians: What Has Changed in the Last Decade?

This study aimed to assess the changes in the frequency of physical activity (PA) counseling and in the predictors of primary care PA promotion in Québec primary care physicians (PCPs) between 2010 and 2020. In 2010, we conducted a survey among Québec PCPs. Questions included: frequency of promoting PA to patients, perceived barriers, needs to improve PA promotion practice, frequency of PCPs' PA practice, and sociodemographic information. In 2020, we took over the 2010 questionnaire to document the evolution of the PA promotion practice. The proportion of PCPs discussing PA with their patients significantly increased (P < .05) in 2020 for the following health conditions: depression, low back pain, chronic obstructive pulmonary disease, and cancer; it declined (P < .05) for overweight patients, those with metabolic syndrome, and in primary prevention. Collaboration with PA professionals was the major need identified, and it increased in 2020. PCPs' own practice of PA was a predictor of PA promotion in 2010 (odds ratio = 6.679; P < .001) and in 2020 (odds ratio = 6.679; P < .001). In both 2010 and in 2020, older or more experienced PCPs were more likely to discuss PA with their patients without diagnosed diseases than younger ones or those with less experience. Over the last 10years, there has been a significant increase in PCPs promoting PA in Québec; however, it has been mainly oriented toward secondary prevention. It is concerning that PA counseling in primary prevention has declined, notably among younger PCPs. The stronger claim for closer collaboration with kinesiologists suggests that PCPs are in favor of an interprofessional strategy, namely collaboration with PA specialists.

Effectiveness of a Smartphone App to Promote Physical Activity Among Persons With Type 2 Diabetes: Randomized Controlled Trial.

Physical activity is well known to have beneficial effects on glycemic control and to reduce risk factors for cardiovascular disease in persons with type 2 diabetes. Yet, successful implementation of lifestyle interventions targeting physical activity in primary care has shown to be difficult. Smartphone apps may provide useful tools to support physical activity. The DiaCert app was specifically designed for integration into primary care and is an automated mobile health (mHealth) solution promoting daily walking. This study aimed to investigate the effect of a 3-month-long intervention promoting physical activity through the use of the DiaCert app among persons with type 2 diabetes in Sweden. Our primary objective was to assess the effect on moderate to vigorous physical activity (MVPA) at 3 months of follow-up. Our secondary objective was to assess the effect on MVPA at 6 months of follow-up and on BMI, waist circumference, hemoglobin A1c, blood lipids, and blood pressure at 3 and 6 months of follow-up. We recruited men and women with type 2 diabetes from 5 primary health care centers and 1 specialized center. Participants were randomized 1:1 to the intervention or control group. The intervention group was administered standard care and access to the DiaCert app at baseline and 3 months onward. The control group received standard care only. Outcomes of objectively measured physical activity using accelerometers, BMI, waist circumference, biomarkers, and blood pressure were assessed at baseline and follow-ups. Linear mixed models were used to assess differences in outcomes between the groups. A total of 181 study participants, 65.7% (119/181) men and 34.3% (62/181) women, were recruited into the study and randomized to the intervention (n=93) or control group (n=88). The participants' mean age and BMI were 60.0 (SD 11.4) years and 30.4 (SD 5.3) kg/m2, respectively. We found no significant effect of the intervention (group by time interaction) on MVPA at either the 3-month (β=1.51, 95% CI -5.53 to 8.55) or the 6-month (β=-3.53, 95% CI -10.97 to 3.92) follow-up. We found no effect on any of the secondary outcomes at follow-ups, except for a significant effect on BMI at 6 months (β=0.52, 95% CI 0.20 to 0.84). However, mean BMI did not differ between the groups at the 6-month follow-up. We found no evidence that persons with type 2 diabetes being randomized to use an app promoting daily walking increased their levels of MVPA at 3 or 6 months' follow-up compared with controls receiving standard care. The effect of the app on BMI was unclear, and we found nothing to support an effect on secondary outcomes. Further research is needed to determine what type of mHealth intervention could be effective to increase physical activity among persons with type 2 diabetes. ClinicalTrials.gov NCT03053336; https://clinicaltrials.gov/study/NCT03053336.

Narrative review – Barriers and facilitators to promotion of physical activity in primary care

AbstractThe objectiveto provide an overview of the literature on the barriers and facilitators to physical activity (PA) promotion in primary care, as experienced by practitioners and patients.MethodA search strategy of the English‐language literature was conducted in EMBASE, MEDLINE and the COCHRANE LIBRARY. Search terms were primary care OR general practice OR family medicine OR family practitioner AND physical activity OR exercise AND barriers OR facilitators. Databases were searched from inception until 21 October 2022.ResultsAfter screening, 63 articles were included within the summary and content analysis of this review. Analysis of the barriers to the implementation of PA highlighted four main themes perceived by practitioners: time, knowledge/skills, resources/support and financial implications. Analysis of the patient perspective identified themes which were categorised into individual (pre‐existing health conditions, knowledge of benefits of PA, time/capacity), societal (social support and cultural norms) and environmental (availability of facilities and weather).ConclusionsAs the importance of PA increases through the manifestation of sedentary behaviour‐related disease, a combined primary care and public health approach to increase PA is required. By identifying the main barriers to PA promotion in primary care, resources and funding can be directed to address this. This is particularly relevant in the United Kingdom, with the re‐negotiation of the primary care contract and the changes to healthcare delivery as a consequence of the Covid‐19 pandemic. Throughout this review, we have explored ways of addressing the identified barriers through evidence‐based interventions.

Uptake patterns and predictors of colorectal cancer screening among adults resident in Spain: A population-based study from 2017 to 2020.

Although population screening has improved the early diagnosis of colorectal cancer (CRC), most cases are diagnosed in symptomatic patients. This study aimed to estimate the prevalence and evolution over time of uptake patterns to fecal immunochemical test (FIT) as a screening test for CRC among individuals aged 50-69 in Spain, and to determine the predictive factors for uptake patterns to this type of screening based on sociodemographic, health, and lifestyle characteristics. A cross-sectional study with 14,163 individuals from the 2017 Spanish National Health Survey and the 2020 European Health Survey was performed, including as the main variable uptake pattern to FIT screening within the last 2 years, with which we analyzed sociodemographic factors, health status and lifestyle habits. 38.01% of participants had undergone FIT in the previous 2 years, and from 2017 to 2020, a significant increase in the uptake rate for CRC was observed (2017: 32.35%, 2020: 43.92%, p < 0.001). The positive predictors to FIT uptake pattern included factors such as being between 57 and 69 years, having a higher educational level or a higher social class, having at least one chronic illness, frequent contact with the primary care physician, alcohol consumption and physical activity, while immigration and smoking habit were negative predictors. In Spain, although the evolution of FIT uptake pattern over time is positive, the prevalence of FIT uptake is still low (38.01%), not reaching the level considered as acceptable in the European guidelines. Moreover, there are disparities in CRC screening uptake among individuals.

Perspectives on Promoting Physical Activity Using eHealth in Primary Care by Health Care Professionals and Individuals With Prediabetes and Type 2 Diabetes: Qualitative Study.

The trend of an exponential increase in prediabetes and type 2 diabetes (T2D) is projected to continue rising worldwide. Physical activity could help prevent T2D and the progression and complications of the disease. Therefore, we need to create opportunities for individuals to acquire the necessary knowledge and skills to self-manage their chronic condition through physical activity. eHealth is a potential resource that could facilitate self-management and thus improve population health. However, there is limited research on users' perception of eHealth in promoting physical activity in primary care settings. This study aims to explore the perspectives of health care professionals and individuals with prediabetes and T2D on eHealth to promote physical activity in primary care. A qualitative approach was applied using focus group discussions among individuals with prediabetes or T2D (14 participants in four groups) and health care professionals (10 participants in two groups). The discussions were audio-recorded and transcribed verbatim. Qualitative content analysis was used inductively to code the data. Three main categories emerged: utility, adoption process, and accountability. The utility of eHealth was described as a motivational, entertaining, and stimulating tool. Registration of daily medical measurements and lifestyle parameters in a cohesive digital platform was recognized as a potential resource for strengthening self-management skills. The adoption process includes eHealth to increase the accessibility of care and personalize the support of physical activity. However, participants stated that digital technology might only suit some and could increase health care providers' administrative burden. Accountability refers to the knowledge and skills to optimize eHealth and ensure data integrity and security. People with prediabetes and T2D and health care professionals positively viewed an integration of eHealth technology in primary care to promote physical activity. A cohesive platform using personal metrics, goal-setting, and social support to promote physical activity was suggested. This study identified eHealth illiteracy, inequality, privacy, confidentiality, and an increased workload on health care professionals as factors of concern when integrating eHealth into primary care. Continuous development of eHealth competence was reported as necessary to optimize the implementation of eHealth technology in primary care.

The impact of signposting and group support pathways on a community-based physical activity intervention grounded in motivational interviewing.

Brief advice is recommended to increase physical activity (PA) within primary care. This study assessed change in PA levels and mental well-being after a motivational interviewing (MI) community-based PA intervention and the impact of signposting (SP) and social action (SA) (i.e. weekly group support) pathways. Participants (n=2084) took part in a community-based, primary care PA programme using MI techniques. Self-reported PA and mental well-being data were collected at baseline (following an initial 30-min MI appointment), 12 weeks, 6 months and 12 months. Participants were assigned based upon the surgery they attended to the SP or SA pathway. Multilevel models derived point estimates and 95% confidence intervals for outcomes at each time point and change scores. Participants increased PA and mental well-being at each follow-up time point through both participant pathways and with little difference between pathways. Retention was similar between pathways at 12 weeks, but the SP pathway retained more participants at 6 and 12 months. Both pathways produced similar improvements in PA and mental well-being; however, the addition of a control would have provided further insight as to the effectiveness. Due to lower resources yet similar effects, the SP pathway could be incorporated to support PA in primary care settings.

Does legislative framework favors prescription of physical activity in primary care ? The French experience

ABSTRACT Objective Regular physical activity (PA) is a key element in chronic disease management. We studied the effect of a recent legislative framework given to physical activity prescription (PAP) on practices, motivations, barriers, and needs for PAP in primary care among general practitioners (GP) of the Auvergne-Rhône-Alpes region, France. Methods Our cross-sectional survey used a self-administrated questionnaire through two recruitment methods: e-mail address (online group) and face-to-face (office group). Based on the data pertaining to demography, motivation scores, needs, and barriers, we analyzed the profiles of participating GPs. Results Among the 283 GPs, online participants (n = 250) were younger than office participants (n = 33) (46 ± 11 vs. 51 ± 12 years, p = 0.0083), and were physically more active (80% vs 51%, p = 0.0006). Regular PA was also critical in the profile of current prescribers (OR = 2.83 (95%CI [1.28, 7.00]), p = 0.015). The motivation score for PAP was high and equal in both groups (10.5 ± 3.3 in a maximum of 15), but multiple barriers emerged, which demonstrated age-dependent variations in the score. Young GPs mostly identified self-imposed barriers (exercise referral, PAP training), while for older GPs these barriers were equally attributable to patients. Conclusion Although the legislative framework given to PAP in France was associated with a 12% increase in the number of prescribers, PA remains poorly prescribed in primary care, even among the most motivated physicians.

Promoting physical activity in primary care: a systematic review and meta-analysis.

BackgroundPromoting physical activity is an important part of patient care in primary care and has been investigated in many studies with a wide range of intervention characteristics, often including external support. It is unclear, however, if promoting physical activity is effective.AimTo investigate the effectiveness of behaviour change interventions to promote physical activity in primary care.Design and settingThis is a systematic review and meta-analysis to evaluate physical activity promotion in a primary care setting.MethodEMBASE, MEDLINE, PsycInfo, and the Joanna Briggs Institute Database were searched for ‘physical activity’, ‘interview’, ‘motivation’, ‘primary care’, and equivalent words to identify randomised controlled trials with physical activity as the outcome at patient level.ResultsThe review identified 25 eligible studies. The quality appraisal showed that most studies reported insufficient details regarding randomisation, group allocation, blinding, and fidelity of intervention delivery. The included studies reported a wide range of interventions with varying numbers of follow-up visits or phone calls. The overall effect size for interventions with a 6-month follow-up interval was 0.04 (95% confidence interval [CI] = −0.06 to 0.14), and for interventions with a 12-month follow-up interval it was 0.19 (95% CI = 0.03 to 0.36). Only one intervention based on three motivational interviewing sessions achieved a moderate effect.ConclusionCounselling to promote physical activity in primary care has a limited effect on patients’ behaviour and it might not, on its own, be enough to change physical activity behaviour.

A patient-oriented approach to the development of a primary care physical activity screen for embedding into electronic medical records.

Physical activity questionnaires exist, but effective implementation in primary care remains an issue. We sought to develop a physical activity screen (PAS) for electronic medical record (EMR) integration by 1) identifying healthcare professionals' (HCPs), patients' and stakeholders' barriers to and preferences for physical activity counselling in primary care; and 2) using the information to co-create the PAS. We conducted semi-structured interviews with primary care HCPs, patients and stakeholders, and used content and thematic analyses to inform iterative co-design of the PAS. Interviews with 38 participants (mean age 41 years) resulted in 2 themes: 1) HCPs are willing to conduct physical activity screening, but acknowledge they don't do it well; and 2) HCPs have limited opportunity and capacity to discuss physical activity, and need a streamlined process for EMR that goes beyond quantifying physical activity. HCPs, patients and stakeholders co-designed a physical activity screen for integration into the EMR that can be tested for feasibility and effects on HCP behaviour and patients' physical activity levels. Novelty: EMR-integration of physical activity screening needs to go beyond just asking about physical activity minutes. Primary care professionals have variable knowledge and time, and need physical activity counselling prompts and resources. We co-developed a physical activity EMR tool with patients and primary care providers.

Can physical activity measurement alone improve objectively-measured physical activity in primary care?: A systematic review and meta-analysis.

There is evidence that simply measuring physical activity alone can increase self-reported physical activity behaviour. The aim of this review was to describe changes in objectively-measured physical activity within control groups in primary care physical activity intervention studies. Five electronic databases (PubMed, MEDLINE, SPORTDiscus, PsychINFO and CINAHL) were searched from inception to February 2019. Physical activity controlled intervention studies objectively measuring physical activity in primary care with adults were included and meta-analyses were completed. Thirty studies were eligible and 22 studies were included in the meta-analysis. No statistically significant change in steps.day-1, counts.day-1 and counts.minute-1 were found in the meta-analyses within control groups. Moderate-to-vigorous physical activity minutes.day-1 significantly decreased (-3.97; 95% CI -6.31 to -1.64; P<0.001). Sub-analyses revealed there was a trend for steps.day-1 to increase in participants<50years old (504; 95% CI -20 to 1029; P=0.06). Noteworthy increases (≥10%) in objectively-measured physical activity within control groups were found in 17% of studies. Noteworthy increases were reported in studies with younger participants, one-third of the pedometer studies, one-third of studies with participants at risk of chronic disease and in studies with a shorter duration between measurements. No control group improvements were found in participants with chronic disease. Overall, no significant improvements in objectively-measured physical activity were found within control groups in primary care. Further investigation of noteworthy increases in control group physical activity levels is indicated, particularly in certain sub-groups of participants as this may effect physical activity research and interventions in these populations.

Overview of Physical Activity Counseling in Primary Care

Physical inactivity is a global health burden. Promoting physical activity in primary care through physical activity counseling is an effective intervention. This article provides an overview of and perspectives on physical activity counseling in primary care. The identification of physical inactivity as a health problem may increase the awareness of physical inactivity among patients and primary care providers, which will lead to an action plan. The contents of physical activity counseling should be based on evidence-based recommendations. Safety issues should be evaluated appropriately to optimize the utilization of primary care services. Physical activity counseling methods should be “tailored” for an individual using appropriate counseling methods and setting-specific resources. Multilevel barriers to physical activity counseling in primary care (i.e., healthcare providers, patients, and systems) must be addressed. Setting-specific strategies to overcome these barriers should be implemented to maximize the effectiveness of physical activity counseling in primary care.

Feasibility of an Electronic Health Tool to Promote Physical Activity in Primary Care: Pilot Cluster Randomized Controlled Trial.

BackgroundPhysical inactivity is associated with increased health risks. Primary care providers (PCPs) are well positioned to support increased physical activity (PA) levels through screening and provision of PA prescriptions. However, PCP counseling on PA is not common.ObjectiveThis study aimed to assess the feasibility of implementing an electronic health (eHealth) tool to support PA counseling by PCPs and estimate intervention effectiveness on patients’ PA levels.MethodsA pragmatic pilot study was conducted using a stepped wedge cluster randomized trial design. The study was conducted at a single primary care clinic, with 4 pre-existing PCP teams. Adult patients who had a periodic health review (PHR) scheduled during the study period were invited to participate. The eHealth tool involved an electronic survey sent to participants before their PHR via an email or a tablet; data were used to automatically produce tailored resources and a PA prescription in the electronic medical record of participants in the intervention arm. Participants assigned to the control arm received usual care from their PCP. Feasibility was assessed by the proportion of completed surveys and patient-reported acceptability and fidelity measures. The primary effectiveness outcome was patient-reported PA at 4 months post-PHR, measured as metabolic equivalent of task (MET) minutes per week. Secondary outcomes assessed determinants of PA, including self-efficacy and intention to change based on the Health Action Process Approach behavior change theory.ResultsA total of 1028 patients receiving care from 34 PCPs were invited to participate and 530 (51.55%) consented (intervention [n=296] and control [n=234]). Of the participants who completed a process evaluation, almost half (88/178, 49.4%) stated they received a PA prescription, with only 42 receiving the full intervention including tailored resources from their PCP. A cluster-level linear regression analysis yielded a non–statistically significant positive difference in MET-minutes reported per week at follow-up between intervention and control conditions (mean difference 1027; 95% CI −155 to 2209; P=.09). No statistically significant differences were observed for secondary outcomes.ConclusionsOur results suggest that it is feasible to build an eHealth tool that screens and provides tailored resources for PA in a primary care setting but suboptimal intervention fidelity suggests greater work must be done to address PCP barriers to resource distribution. Participant responses to the primary effectiveness outcome (MET-minutes) were highly variable, reflecting a need for more robust measures of PA in future trials to address limitations in patient-reported data.Trial RegistrationClinicalTrials.gov NCT03181295; https://clinicaltrials.gov/ct2/show/NCT03181295

Sleep pattern, obesity and healthcare expenditures in Brazilian adults.

The aim of this study was to analyze the relationship between sleep pattern and healthcare expenditures in adults, as well as to identify whether physical activity, biochemical markers and obesity affect this relationship. The sample was composed of 168 adults aged ≥ 50 years attended by two Basic Healthcare Units in Presidente Prudente, SP, Brazil. Health expenditure, sleep pattern, anthropometry, adiposity index, physical activity, metabolic and cardiovascular variables were assessed. Statistical analyses were performed using Kruskal-Wallis, Mann-Whitney and Spearman tests. Sleep disorders were positively correlated to higher costs with medicines and negatively correlated to costs with laboratory tests, even after adjusts by confounders. In addition, healthcare costs were also correlated to physical activity score, blood pressure, obesity and metabolic variables. Severe sleep disorders and high percentage of body fat were associated with increased use of medications. Sleep pattern is correlated to primary care healthcare costs, obesity and physical activity level.

Control group changes in objectively measured physical activity in primary care: protocol for a systematic review and meta-analysis

BackgroundThere is some evidence that simply measuring physical activity alone can increase self-reported physical activity behaviour. Objective measures of physical activity in intervention studies have increased substantially over the last decade. Yet, there is no synthesised evidence of observed changes in the control group physical activity in trials that have used objective physical activity measurement approaches. Understanding factors associated with control group increases (or decreases) in physical activity may have implications for planning physical activity research and in clinical settings where objective measures of physical activity may be used. The aim of this systematic review is to describe changes in objectively measured physical activity that have occurred within control groups in primary care physical activity intervention studies and, if possible, identify factors that are potentially associated with these changes.MethodsThe PRISMA-P reporting guidelines for systematic review protocols will be followed. Five electronic databases (PubMed, MEDLINE, SPORTDiscuss, PsychINFO, CINAHL) will be searched to identify physical activity controlled (randomised, cluster, quasi-experimental) studies conducted with adults in primary care. Search terms will be based on previous systematic reviews, and only peer-reviewed articles published in English will be considered. The main outcome measure is the change in objectively measured physical activity within the control group. Risk of bias will be assessed using the Cochrane Collaboration tool and the Risk Of Bias in Non-randomised Studies—of Interventions tool. Meta-analyses will be conducted where possible among studies with sufficient homogeneity.DiscussionThis systematic review and meta-analysis will determine the extent to which physical activity measurement alone is associated with changes in objectively measured physical activity levels in control groups in primary care. Findings from this study will inform future physical activity intervention research and practice. If measuring physical activity alone is associated with increases in physical activity levels that may be considered beneficial for health, this could indicate that measurement alone may be a low cost, efficient and effective method to increase a proprotion of the population’s physical activity levels.Systematic review registrationPROSPERO CRD42018104896

Patients' experiences with a behaviour change intervention to enhance physical activity in primary care: A mixed methods study.

ObjectiveTo explore the experiences of patients at risk for cardiovascular disease in primary care with the Activate intervention in relation to their success in increasing their physical activity.MethodsA convergent mixed methods study was conducted, parallel to a cluster-randomised controlled trial in primary care, using a questionnaire and semi-structured interviews. Questionnaires from 67 patients were analysed, and semi-structured interviews of 22 patients were thematically analysed. Experiences of patients who had objectively increased their physical activity (responders) were compared to those who had not (non-responders). Objective success was analysed in relation to self-perceived success.ResultsThe questionnaire and interview data corresponded, and no substantial differences among responders and non-responders emerged. Participating in the intervention increased patients’ awareness of their physical activity and their physical activity level. Key components of the intervention were the subsequent support of nurses with whom patients’ have a trustful relationship and the use of self-monitoring tools. Patients highly valued jointly setting goals, planning actions, receiving feedback and review on their goal attainment and jointly solving problems. Nurses’ support, the use of self-monitoring tools, and involving others incentivised patients to increase their physical activity. Internal circumstances and external circumstances challenged patients’ engagement in increasing and maintaining their physical activity.ConclusionPatients experienced the Activate intervention as valuable to increase and maintain their physical activity, irrespective of their objective change in physical activity. The findings enable the understanding of the effectiveness of the intervention and implementation in primary care.Trial registrationClinicalTrials.gov NCT02725203.

The impact of multidimensional physical activity feedback on healthcare practitioners and patients.

BackgroundPromotion of physical activity in primary care has had limited success. Wearable technology presents an opportunity to support healthcare practitioners (HCPs) in providing personalised feedback to their patients.AimTo explore the differing thoughts and feelings of both HCPs and at-risk patients provided with personalised multidimensional physical activity feedback.Design & settingQualitative study with HCPs (n = 15) and patients at risk of cardiovascular disease or type 2 diabetes (n = 29), recruited from primary care.MethodHCPs and patients wore a physical activity monitor for 7 days and were subsequently shown their personalised multidimensional feedback, including sedentary time, calorie burn, short (1-minute) or long (>10-minute) bouts of moderate-to-vigorous activity during semi-structured interviews. Transcripts were analysed thematically with comparisons made between individuals of high (n = 21) and low (n = 23) physical activity levels as to their cognitive–affective responses to their data.ResultsPersonalised feedback elicited positive emotional responses for highly active participants and negative emotional responses for those with low activity. However, individuals with low activity demonstrated largely positive coping mechanisms. Some low active participants were in denial over feedback, but the majority valued it as an opportunity to think of ways to improve physical activity (cognitive reappraisal) and started forming action plans (problem-focused coping). Around half of all participants also sought to validate their feedback against peers.ConclusionPersonalised, visual feedback elicits immediate emotional and coping responses in participants of high and low physical activity levels. Further studies should explore whether multidimensional feedback could help practitioners explore diverse ways for lifestyle change with patients.

Promoting sport and physical activity in Italy: a cost-effectiveness analysis of seven innovative public health policies.

Inactive lifestyles are a key risk factor underpinning the development of many chronic diseases, yet more than half of the Italian population does not meet WHO thresholds for at least moderate physical activity. This study aims to make the economic case to upscale investments in policy actions to promote exercise and physical activity. Modelling-based cost-effectiveness analysis in Italy. The study assesses the impact on health and healthcare expenditure of seven public health policies to promote exercise and physical activity against a business as usual scenario. Assessed policies include: promotion of active transport, workplace sedentarily interventions, investments in sports and recreation, mass media campaigns, prescription of physical activity in primary care, school-based interventions and mobile apps. Public policies to promote exercise have the potential to improve population health and produce savings in healthcare expenditure. Assessed policies can avoid hundreds of cases of cardiovascular diseases and diabetes per year and tens of cases of cancer resulting in gains in DALYs in the order of thousands per year. In the medium-term, the vast majority of policies show excellent cost-effectiveness ratio, below internationally recognized thresholds. Investing in policies to promote active lifestyles is a good investment for Italy.

Effect of two pedometer-based walking interventions on long-term health outcomes: a study using routine primary care data

BackgroundData are lacking from physical activity (PA) trials with long-term follow-up of both objectively measured PA levels and robust health outcomes. Two primary care 12-week pedometer-based walking interventions in adults and older adults (PACE-UP and PACE-Lift) found sustained objectively measured PA increases at 3 and 4 years, respectively. Using routine primary care data, we aimed to evaluate intervention effects on long-term health outcomes relevant to walking interventions. MethodsWe downloaded primary care data for trial participants who gave written informed consent, for 4-year periods after their randomisation from the 7 general practices in the PACE-UP trial and 3 general practices in the PACE-Lift trial (PACE-UP from Oct 23, 2012, to Nov 11, 2017; PACE-Lift from Oct 12, 2011, to Oct 11, 2016). The following new events were counted masked to intervention status for all participants, including those with pre-existing diseases (apart from diabetes, where existing cases were excluded): cardiovascular (myocardial infarction, coronary artery bypass graft, angioplasty, and stroke or transient ischaemic attack), diabetes cases, depression episodes, fractures, and falls. We modelled the effect of the interventions on outcomes using Cox and Poisson regression models, adjusting for age, sex, and practice. FindingsData were downloaded for 1297 (98%) of 1321 trial participants. Event rates were low (<20 per group) for outcomes, apart from fractures and falls. Cox hazard ratios for time-to-first event after randomisation for interventions versus controls were: cardiovascular 0·24 (95% CI 0·07–0·77), diabetes 0·77 (0·43–1·38), depression 0·98 (0·46–2·07), and fractures 0·56 (0·35–0·90). Poisson incident rate ratio for falls was 1.09 (95% CI 0·83–1·43). InterpretationShort-term primary care PA interventions led to long-term PA increases in the intervention groups, associated with significant decreases in new cardiovascular events and fractures at 4 years. Though no significant differences between intervention and control groups were demonstrated for other events, direction of effect for diabetes was protective, but our trials were underpowered to find differences in low frequency outcomes. Our study also demonstrates the potential for using routine data to evaluate the outcome of large-scale primary care walking interventions, avoiding expensive objective accelerometry assessment or inaccurate self-report PA data. FundingSupported by the National Institute for Health Research (NIHR).

Protocol of a cluster randomized trial to investigate the impact of a type 2 diabetes risk prediction model on change in physical activity in primary care

BackgroundLittle evidence exists on the impact of diabetes risk scores, e.g. on physicians and patient’s behavior, perceived risk of persons, shared-decision making and particularly on patient’s health. The aim of this study is to investigate the impact of a non-invasive type 2 diabetes risk prediction model in the primary health care setting as component of routine health checks on change in physical activity.MethodsParallel group cluster randomized controlled trial including 30 primary care physicians (PCPs) and 300 participants in the region of Düsseldorf and surrounding urban and rural municipalities, West Germany. On cluster level, PCPs will be randomized into intervention or control group using a biased coin minimization technique. Participants in the control group are going to have a routine health check “Check-up 35” which is recommended biannually for all people ≥35 years of age in Germany. In the intervention group, the routine health check is expanded by usage of a non-invasive diabetes risk prediction model (German Diabetes Risk Score). Primary outcome is change in physical activity after 1 year. Secondary outcomes include aspects of targeted counseling, motivation of participant’s to change lifestyle, perceived and objectively measured diabetes risk, acceptance of diabetes risk scores, quality of life, depression and anxiety. Patients will be followed over 12 months. Hierarchical or mixed models will be conducted, including a random intercept to adjust for cluster, the respective baseline value, and covariates to compare the groups.DiscussionThis pragmatic cluster randomized controlled trial will enhance our knowledge on the clinical impact of diabetes risk scores for the first time in the real-life primary health care setting.Trial registrationClinicalTrials.govNCT03234322, registered on July 28, 2017.

The Norwegian Healthy Life Centre Study: A pragmatic RCT of physical activity in primary care.

The aim of this study was to evaluate the effect of behaviour change interventions at Norwegian Healthy Life Centres (HLCs) on participants' moderate to vigorous intensity physical activity (MVPA) six months after baseline. We also explore predictors of change in MVPA, and if level of education and MVPA at baseline modify the effect. A randomised controlled trial with inclusion criteria age ⩾ 18 years and ability to participate in group-based physical activity. Participants were randomised to either behaviour change interventions or a waiting list (control). Objective recordings of physical activity were the main outcome, analysed with simple and multiple linear regression. We recruited 118 participants from six HLCs. Participants with mental, musculoskeletal, or chronic somatic disease were more likely to drop out. We revealed no differences in MVPA or sedentary time between the groups. Types of motivation or several characteristics of disadvantage at baseline could not explain changes in MVPA. Across both groups, 83% achieved the recommended 150 minutes of MVPA per week, and participants with a lower level of education were less likely to improve. Participants in the intervention group who were least active at baseline significantly increased their MVPA. The study revealed that the intervention had no short-term effect on time spent on MVPA or sedentary. This study does not support a strong emphasis on behaviour change on an individual level as a way of targeting general health and risk reduction at a population level. Although less active people benefitted more from the HLC intervention, the intervention was unable to counteract widening of inequity across educational groups.