Activity Behavior Change Research Articles

Rapid Improvements in Physical Activity and Sedentary Behavior in Patients With Acute Myocardial Infarction Immediately Following Hospital Discharge.

Background Little is known about changes in physical activity (PA) and sedentary behavior (SB) patterns in the acute phase of a myocardial infarction (MI). We objectively assessed PA and SB during hospitalization and the first week after discharge. Methods and Results Consecutively admitted patients hospitalized with an MI were approached to participate in this prospective cohort study. SB, light-intensity PA, and moderate-vigorous intensity PA were objectively assessed for 24 h/d during hospitalization and up to 7 days after discharge in 165 patients. Changes in PA and SB from the hospital to home phase were evaluated using mixed-model analyses, and outcomes were stratified for predefined subgroups based on patient characteristics. Patients (78% men) were aged 65±10 years and diagnosed with ST-segment-elevation MI (50%) or non-ST-segment-elevation MI (50%). Sedentary time was high during hospitalization (12.6 [95% CI, 11.8-13.7] h/d) but substantially decreased following transition to the home environment (-1.8 [95% CI, -2.4 to -1.3] h/d). Furthermore, the number of prolonged sedentary bouts (≥60 minutes) decreased between hospital and home (-1.6 [95% CI, -2.0 to -1.2] bouts/day). Light-intensity PA (1.1 [95% CI, 0.8-1.6] h/d) and moderate-vigorous intensity PA (0.2 [95% CI, 0.1-0.3] h/d) were low during hospitalization but significantly increased following transition to the home environment (light-intensity PA: 1.8 [95% CI, 1.4-2.3] h/d; moderate-vigorous intensity PA: 0.4 [95% CI, 0.3-0.5] h/d; both P<0.001). Improvements in PA and SB were similar across groups, except for patients who underwent coronary artery bypass grafting and who did not improve their PA patterns after discharge. Conclusions Patients with MI demonstrate high levels of SB and low PA volumes during hospitalization, which immediately improved following discharge at the patient's home environment. Registration URL: trialsearch.who.int/; Unique identifier: NTR7646.

Does work-related and commuting physical activity predict changes in physical activity and sedentary behavior during the transition to retirement? GPS and accelerometer study.

We examined how GPS and accelerometer measured work-related and commuting physical activity contribute to changes in physical activity and sedentary behavior during the retirement transition in the Finnish Retirement and Aging study (n=118). Lower work-related activity was associated with a decrease in sedentary time and an increase in light physical activity during retirement. Conversely, higher work-related activity was associated with an increase in sedentary time and a decrease in light physical activity, except among those active workers who also were active commuters. Thus, both work-related and commuting physical activity predict changes in physical activity and sedentary behavior when retiring.

Predictors of changes in physical activity and sedentary behavior during the COVID-19 pandemic in a Turkish migrant cohort in Germany

Predictors of changes in physical activity and sedentary behavior during the COVID-19 pandemic in a Turkish migrant cohort in Germany

Effects of a smartphone app-based diet and physical activity program for men living with HIV who have dyslipidemia: A pilot randomized controlled trial.

People living with HIV are at a high risk for cardiovascular disease owing to antiretroviral therapy use and chronic inflammation. There is limited evidence on the evaluation of serum lipid levels through lifestyle modification. This study aims to evaluate the effect of a smartphone application-based diet and exercise improvement program on men living with HIV and dyslipidemia. This was a randomized controlled trial recruiting Japanese men living with HIV who have dyslipidemia: intervention group (n = 19) and control group (n = 19). The intervention group received a third individual guidance session during the 6-month intervention and was encouraged to record their diet on a smartphone application. An intention-to-treat analysis of the results was conducted. The intervention group showed significantly reduced change in low-density lipoprotein levels compared to the control group (-4.00 ± 20.2 mg/dL vs. 10.11 ± 21.1 mg/dL) (p = .042) from baseline to 6 months post-intervention. No significant differences were found in other serum lipid levels. Abdominal circumference decreased significantly in the intervention group (p = .048) from baseline to 6 months post-intervention. Total energy, protein, carbohydrate, fat, and salt intake, dietary and physical activity behavior change stages and social support, dietary self-efficacy, and loneliness significantly improved in the intervention group (p < .05) from baseline to 6 months post-intervention. A diet and physical activity improvement program using a smartphone application based on Japanese-specific health guidance may reduce low-density lipoprotein cholesterol levels in this population. Further sample expansion and examination of long-term effects are needed.

Predictors of physical activity behavior change among patients with heart failure enrolled in home-based cardiac rehabilitation intervention

BackgroundPhysical activity behavior change is considered one of the most challenging lifestyle modifications in patients with heart failure. Even after participation in a cardiac rehabilitation program, most patients do not engage in the recommended level of physical activity. ObjectiveTo determine which baseline demographic, physical activity levels, psychological distress, and clinical variables predicted physical activity behavior change to increasing light-to-vigorous physical activity by 10,000 steps/day following participation in home-based cardiac rehabilitation intervention. MethodsA prospective design involving secondary analysis was used to analyze data obtained from 127 patients (mean, 61; range, 45–69 years) enrolled in and completed an 8-week home-based mobile health app intervention. The intervention was designed to encourage health behavior change with regard to decreasing sedentary behavior and increasing physical activities performed at light or greater intensities. ResultsNone of the participants accumulated 10,000 steps or more per day pre-intervention (mean, 1549; range, 318–4915 steps/day). Only 55 participants (43%) achieved an average daily step count of 10,000 or more at week 8 of the intervention (10,674 ± 263). The results of the logistic regression showed that higher pre-intervention physical activity levels and anxiety symptoms and lower depressive symptoms were associated with a higher likelihood of achieving physical activity behavior change (p < .003). ConclusionThese data highlight that determining pre-intervention physical activity levels and depressive symptoms can be the key to designing an effective home-based cardiac rehabilitation intervention in patients with heart failure.

Exploring barriers and facilitators of behavioural changes in dietary intake and physical activity: a qualitative study in older adults undergoing transcatheter aortic valve implantation

Key summary pointsAimTo explore barriers and facilitators regarding dietary intake and physical activity behaviour change in older patients undergoing transcatheter aortic valve implantation.FindingsThree following themes were identified as barriers: (1) low physical capability, (2) healthy dietary intake and physical activity are not a priority at an older age and (3) ingrained habits and preferences. Three themes were identified as facilitators: (1) knowledge that dietary intake and physical activity are important for maintaining health, (2) norms set by family, friends and caregivers and (3) support from the social environment.MessageGiven the prevalent ambivalence among older cardiac patients towards behaviour change, healthcare professionals should address this mindset before implementing interventions to promote behaviour modification.

Muscle activity and emotional behavior changes in rats with chronic brain ischemia via comprehensive pathogenetic correction

Cerebrovascular pathology has evolved from a medical concern to a social issue, with the efficacy of secondary neuroprotection remaining a pertinent question. While some investigations have been conducted to elucidate the effectiveness of a comprehensively grounded pharmacological correction scheme under conditions of experimentaly induced chronic brain ischemia, further refinement is necessary to understand the behavioral effects of animals, dosages, routes of administration of pharmacological agents, and analysis of obtained data. The aim of this study was to assess the effectiveness of applying Semax and hopantenic acid in the comprehensive treatment of motor disorders and established neurological impairments in rats with experimentally induced chronic brain ischemia. We determined that rats with chronic brain ischemia exhibit muscular dysfunctions and experience pronounced disturbances in emotional behavior from the first day. It has been demonstrated that the separate and combined application of Semax and hopantenic acid contributes to the restoration of muscle activity, normalization of coordination, and emotional behavior in rats with chronic brain ischemia. The most significant neuroprotective effect in rats with chronic brain ischemia was observed with the combined administration of Semax and hopantenic acid, starting from the 3rd day of the trial. The subsequent in the series of anti-ischemic effectiveness is the impact of Semax from the 3rd day of the experiment. The least pronounced neuroprotective effect was exhibited by hopantenic acid, starting from the 5th day of the experiment. We consider these findings to be an experimental foundation supporting the feasibility of clinically testing the effects of combined Semax and hopantenic acid administration, capable of restoring functional disorders caused by chronic brain ischemia. In conclusion, the observed effectiveness of the developed pathogenetically justified complex for the correction of post-ischemic muscle dysfunction and disorders indicates the development of an anti-ischemic effect, as well as the fundamental possibility of improving the treatment for patients with chronic brain ischemia through clinical intranasal administration of Semax, either alone or in combination with hopantenic acid. However, for a more comprehensive understanding of the temporal and dose-dependent effects of this complex pathogenetic correction scheme on other disorders and dysfunctions related to chronic brain ischemia and to formulate final conclusions, it is essential to conduct separate series of experimental studies.

Rugby Fans in Training New Zealand (RUFIT NZ): a randomized controlled trial to assess the effectiveness of a healthy lifestyle program for overweight men delivered through professional rugby clubs

BackgroundA healthy lifestyle program that appeals to, and supports, overweight and obese New Zealand (NZ) European, Māori (indigenous) and Pasifika men to achieve weight loss is urgently needed. A pilot program inspired by the successful Football Fans in Training program but delivered via professional rugby clubs in NZ (n = 96) was shown to be effective in weight loss, adherence to healthy lifestyle behaviors, and cardiorespiratory fitness in overweight and obese men. A full effectiveness trial is now needed.AimsTo determine the effectiveness and cost effectiveness of Rugby Fans In Training-NZ (RUFIT-NZ) on weight loss, fitness, blood pressure, lifestyle change, and health related quality of life (HRQoL) at 12- and 52-weeks.MethodsWe conducted a pragmatic, two-arm, multi-center, randomized controlled trial in NZ with 378 (target 308) overweight and obese men aged 30–65 years, randomized to an intervention group or wait-list control group. The 12-week RUFIT-NZ program was a gender-sensitised, healthy lifestyle intervention delivered through professional rugby clubs. Each intervention session included: i) a 1-h workshop-based education component focused on nutrition, physical activity, sleep, sedentary behavior, and learning evidence-based behavior change strategies for sustaining a healthier lifestyle; and 2) a 1-h group-based, but individually tailored, exercise training session. The control group were offered RUFIT-NZ after 52-weeks. The primary outcome was change in body weight from baseline to 52-weeks. Secondary outcomes included change in body weight at 12-weeks, waist circumference, blood pressure, fitness (cardiorespiratory and musculoskeletal), lifestyle behaviors (leisure-time physical activity, sleep, smoking status, and alcohol and dietary quality), and health-related quality of life at 12- and 52-weeks.ResultsOur final analysis included 200 participants (intervention n = 103; control n = 97) who were able to complete the RUFIT-NZ intervention prior to COVID-19 restrictions. At 52-weeks, the adjusted mean group difference in weight change (primary outcome) was -2.77 kg (95% CI -4.92 to -0.61), which favored the intervention group. The intervention also resulted in favorable significant differences in weight change and fruit and vegetable consumption at 12-weeks; and waist circumference, fitness outcomes, physical activity levels, and health-related quality of life at both 12 and 52 weeks. No significant intervention effects were observed for blood pressure, or sleep. Incremental cost-effective ratios estimated were $259 per kg lost, or $40,269 per quality adjusted life year (QALY) gained.ConclusionRUFIT-NZ resulted in sustained positive changes in weight, waist circumference, physical fitness, self-reported physical activity, selected dietary outcomes, and health-related quality of life in overweight/obese men. As such, the program should be recommended for sustained delivery beyond this trial, involving other rugby clubs across NZ.Trial registrationAustralia New Zealand Clinical Trials Registry, ACTRN12619000069156. Registered 18 January 2019, https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=376740 Universal Trial Number, U1111-1245–0645.

Mining Sensor Data to Assess Changes in Physical Activity Behaviors in Health Interventions: Systematic Review.

Sensors are increasingly used in health interventions to unobtrusively and continuously capture participants' physical activity in free-living conditions. The rich granularity of sensor data offers great potential for analyzing patterns and changes in physical activity behaviors. The use of specialized machine learning and data mining techniques to detect, extract, and analyze these patterns has increased, helping to better understand how participants' physical activity evolves. The aim of this systematic review was to identify and present the various data mining techniques employed to analyze changes in physical activity behaviors from sensors-derived data in health education and health promotion intervention studies. We addressed two main research questions: (1) What are the current techniques used for mining physical activity sensor data to detect behavior changes in health education or health promotion contexts? (2) What are the challenges and opportunities in mining physical activity sensor data for detecting physical activity behavior changes? The systematic review was performed in May 2021 using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. We queried the Association for Computing Machinery (ACM), IEEE Xplore, ProQuest, Scopus, Web of Science, Education Resources Information Center (ERIC), and Springer literature databases for peer-reviewed references related to wearable machine learning to detect physical activity changes in health education. A total of 4388 references were initially retrieved from the databases. After removing duplicates and screening titles and abstracts, 285 references were subjected to full-text review, resulting in 19 articles included for analysis. All studies used accelerometers, sometimes in combination with another sensor (37%). Data were collected over a period ranging from 4 days to 1 year (median 10 weeks) from a cohort size ranging between 10 and 11615 (median 74). Data preprocessing was mainly carried out using proprietary software, generally resulting in step counts and time spent in physical activity aggregated predominantly at the daily or minute level. The main features used as input for the data mining models were descriptive statistics of the preprocessed data. The most common data mining methods were classifiers, clusters, and decision-making algorithms, and these focused on personalization (58%) and analysis of physical activity behaviors (42%). Mining sensor data offers great opportunities to analyze physical activity behavior changes, build models to better detect and interpret behavior changes, and allow for personalized feedback and support for participants, especially where larger sample sizes and longer recording times are available. Exploring different data aggregation levels can help detect subtle and sustained behavior changes. However, the literature suggests that there is still work remaining to improve the transparency, explicitness, and standardization of the data preprocessing and mining processes to establish best practices and make the detection methods easier to understand, scrutinize, and reproduce.

Physical Activity as a Health Determinant in Tropical Built Environments: A Multifaceted Intervention

The changing nature of technology has influenced the physical activity behaviour of working adults in tropical-built environments. Existing physical activity interventions show a lack of diversity in delivery strategies and limited local context community assimilation measures. This study aims to provide a perspective on the interventions implemented to promote physical activity in urban and rural neighbourhoods in tropical regions. Three analytical themes were synthesised from 29 screened qualitative and quantitative literature: the social context, the environmental factors and the mechanisms to promote physical activity in the built environment. The findings recognise the importance of spatial heterogeneity in physical activity promotion at midstream and downstream intervention levels in a tropical built environment. A multifaceted intervention model for positive physical activity behaviour change (MIPA) consisting of built environment variables, micro-climate conscious design, health awareness and self-efficacy factors according to the tropical built environments context is proposed.

Selection of and Response to Physical Activity-Based Social Comparisons in a Digital Environment: Series of Daily Assessment Studies.

Innovative approaches are needed to understand barriers to and facilitators of physical activity among insufficiently active adults. Although social comparison processes (ie, self-evaluations relative to others) are often used to motivate physical activity in digital environments, user preferences and responses to comparison information are poorly understood. We used an iterative approach to better understand users' selection of comparison targets, how they interacted with their selected targets, and how they responded to these targets. Across 3 studies, different samples of insufficiently active college students used the Fitbit system (Fitbit LLC) to track their steps per day as well as a separate, adaptive web platform each day for 7 to 9 days (N=112). The adaptive platform was designed with different layouts for each study; each allowed participants to select their preferred comparison target from various sets of options, view the desired amount of information about their selected target, and rate their physical activity motivation before and after viewing information about their selected target. Targets were presented as achieving physical activity at various levels below and above their own, which were accessed via the Fitbit system each day. We examined the types of comparison target selections, time spent viewing and number of elements viewed for each type of target, and day-level associations between comparison selections and physical activity outcomes (motivation and behavior). Study 1 (n=5) demonstrated that the new web platform could be used as intended and that participants' interactions with the platform (ie, the type of target selected, the time spent viewing the selected target's profile, and the number of profile elements viewed) varied across the days. Studies 2 (n=53) and 3 (n=54) replicated these findings; in both studies, age was positively associated with time spent viewing the selected target's profile and the number of profile elements viewed. Across all studies, upward targets (who had more steps per day than the participant) were selected more often than downward targets (who had fewer steps per day than the participant), although only a subset of either type of target selection was associated with benefits for physical activity motivation or behavior. Capturing physical activity-based social comparison preferences is feasible in an adaptive digital environment, and day-to-day differences in preferences for social comparison targets are associated with day-to-day changes in physical activity motivation and behavior. Findings show that participants only sometimes focus on the comparison opportunities that support their physical activity motivation or behavior, which helps explain previous, equivocal findings regarding the benefits of physical activity-based comparisons. Additional investigation of day-level determinants of comparison selections and responses is needed to fully understand how best to harness comparison processes in digital tools to promote physical activity.

Understanding the implementation of ‘Making Every Contact Count’ (MECC) delivered by healthcare professionals in a mental health hospital: protocol for a pragmatic formative process evaluation

ABSTRACT Background ‘Making Every Contact Count’ (MECC) is a public health strategy supporting public-facing workers to use opportunities during routine contacts to enable health behaviour change. A mental health hospital in the North East of England is currently implementing a programme to embed MECC across the hospital supporting weight management (‘A Weight Off Your Mind’). Bespoke MECC training has been developed to improve staff confidence in discussing physical activity, healthy eating, and related behaviour change with service users. This article describes the protocol for a pragmatic formative process evaluation to inform the implementation plan for MECC and facilitate successful implementation of the bespoke MECC training at scale. Methods/Design An 18-month, mixed method pragmatic formative process evaluation, including qualitative research, surveys, document review and stakeholder engagement. This project is conducted within a mental health inpatient setting in the North East of England. Programme documents will be reviewed, mapped against MECC national guidelines, Behaviour Change Techniques (BCTs) and intervention functions within the Behaviour Change Wheel. A cross-sectional survey (n = 365) and qualitative semi-structured interviews (n = 30) will be conducted with healthcare practitioners delivering MECC to assess capability, opportunity and motivation. Data collection and fidelity procedures will be examined, including design, training and delivery dimensions of fidelity. Interviews with service users (n = 20) will also be conducted. Discussion Anticipated outcomes include developing recommendations to overcome barriers to delivery of and access to MECC, including whether to either support the use of the existing MECC protocol or tailor the MECC training programme. The findings are anticipated to improve fidelity of MECC training within mental health inpatient settings as well as provide evidence for MECC training at a national level. We also expect findings to influence strategic plans, policy, and practice specific to MECC and inform best practice in implementing wider brief intervention programmes.

Physical activity intervention benefits persist months post-intervention: randomized trial in breast cancer survivors.

Determine durable effects of the 3-month Better Exercise Adherence after Treatment for Cancer (BEAT Cancer) physical activity (PA) behavior change intervention 12months post-baseline (i.e., 9months after intervention completion). This 2-arm multicenter trial randomized 222 post-primary treatment breast cancer survivors to BEAT Cancer (individualized exercise and group education) vs. usual care (written materials). Assessments occurred at baseline, 3, 6, and 12months, with the 12months assessment reported here. Measures included PA (accelerometer, self-report), cardiorespiratory fitness, muscle strength, body mass index, Functional Assessment of Cancer Therapy (FACT), SF-36, fatigue, depression, anxiety, satisfaction with life, Pittsburgh Sleep Quality Index (PSQI), lower extremity joint dysfunction, and perceived memory. Adjusted linear mixed-model analyses demonstrated statistically significant month 12 between-group differences favoring BEAT Cancer for weekly minutes of moderate-to-vigorous self-report PA (mean between-group difference (M) = 44; 95% confidence interval (CI) = 12 to 76; p = .001), fitness (M = 1.5ml/kg/min; CI = 0.4 to 2.6; p = .01), FACT-General (M = 3.5; CI = 0.7 to 6.3; p = .014), FACT-Breast (M = 3.6; CI = 0.1 to 7.1; p = .044), social well-being (M = 1.3; CI = 0.1 to 2.5; p = .037), functional well-being (M = 1.2; CI = 0.2 to 2.3; p = .023), SF-36 vitality (M = 6.1; CI = 1.4 to 10.8; p = .011), fatigue (M = - 0.7; CI = - 1.1 to - 0.2; p = .004), satisfaction with life (M = 1.9; CI = 0.3 to 3.5; p = .019), sleep duration (M = - 0.2; CI = - 0.4 to - 0.03, p = .028), and memory (M = 1.1; CI = 0.2 to 2.1; p = .024). A 3-month PA intervention resulted in statistically significant and clinically important benefits compared to usual care at 12months. Three months of individualized and group PA counseling causes benefits detectable 9months later. ClinicalTrials.gov NCT00929617 ( https://clinicaltrials.gov/ct2/show/NCT00929617 ; registered June 29, 2009).

The association of chronotype and social jet lag with body composition in German students: The role of physical activity behaviour and the impact of the pandemic lockdown.

Young adults with a later chronotype are vulnerable for a discrepancy in sleep rhythm between work- and free days, called social jet lag (SJL). This study analysed (i) chronotype/SJL association with visceral fat/skeletal muscle mass, (ii) the attribution to physical activity behaviour, and (iii) chronotype-specific changes in physical activity behaviour in young adults during the Covid-19 pandemic lockdown. Chronotype and SJL were derived from the Munich-Chrono-Type-Questionnaire in 320 German students (age 18-25 years) from September 2019 to January 2020, 156 of these participated in an online follow-up survey in June 2020. Body composition was assessed by bioimpedance analysis at baseline. Multivariable linear regression analyses were used to relate chronotype/SJL to body composition; the contribution of self-reported physical activity was tested by mediation analysis. At baseline, a later chronotype and a larger SJL were associated with a higher visceral fat mass (P<0.05), this relation was notably mediated by the attention to physical activity (P<0.05). Chronotype (P = 0.02) but not SJL (P = 0.87) was inversely associated with skeletal muscle mass. During the pandemic lockdown, chronotype hardly changed, but SJL was reduced. Timing and physical activity behaviour remained in most participants and changes were unrelated to chronotype (all P>0.07). A later chronotype/higher SJL may increase the risk of a higher visceral fat mass even in this relatively healthy sample, which may be partly due to their physical activity behaviour. Despite a reduction in SJL during the pandemic lockdown, later chronotypes did not change their physical activity behaviour more than earlier chronotypes.

"Stay at Home" during the COVID-19 Pandemic: Effects on Physical Activity and Sedentary Behavior in an Italian Academic Community.

This study investigates changes in physical activity (PA) and sedentary behavior in an Italian university community during Phase 1 of SARS-CoV-2 lockdown (“stay at home” government decree, from March 8th to May 4th, 2020) compared to their habits prior to the COVID-19 pandemic. We also examine differences according to gender, university position, BMI categories, and sport participation. A total of 2596 people (median age 24, IQR 11 years; 70.8% women) filled out a survey after eight weeks of statutory confinement at home. The International Physical Activity Questionnaire measured PA and sedentary behavior in a typical week before and during lockdown. Physically inactive people passed from 10.9% to 35.0% before−during the lockdown. The total amount of PA decreased (median 2307 vs. 1367 MET-min/week; p < 0.001), while sedentary behavior increased (median 349 vs. 440 min/day; p < 0.001) between before and during the lockdown. The following categories showed a higher reduction in the total amount of PA: men when compared to women; people with normal weight when compared to pre-obese/obese people; and people who played sports when compared to those who did not play sports. There is a need to propose PA/exercise programs to counteract physical inactivity and sedentarism during a social emergency, with special attention to people who showed higher PA reduction.

��ֲ������ ��������� ϲ���Ȫ����� �� ���������� ���������� ��в����� ������� ���ϲ������

This article aims to consider examples of organisations that follow the concept of social marketing, to analyse the relevance of applying the principles, methods and tools of social marketing to solve social problems, and determining the effect of applying the concept of socially responsible marketing at the enterprise. The theoretical, methodological, and practical basis of the research was the fundamental marketing provisions and scientific works of domestic and foreign scientists on social marketing. During the processing and analysis of information, general scientific methods of analysis and synthesis were used. Social marketing methods and tools are more trusted than commercial ones, as it affects a larger part of the population; promotes active behaviour change over a certain period of time; stimulates behaviour change with limited resources and develops creative ideas. Social marketing focuses on human benefit rather than on increasing economic opportunities. It is important to meet the social needs and interests of customers and society, so the concept of social marketing creates a marketing strategy that offers consumers the value of improving the well-being of all segments of the population. It is a more complex version of corporate social responsibility and marketing strategy. The scientific novelty of the results obtained is to further deepen the theoretical provisions, to develop scientific and methodological principles and practical recommendations regarding the application of tools, methods and principles of social marketing in the enterprise. The practical significance of the obtained results is that the use of social marketing in an enterprise helps to create a positive image of the company among consumers, which will increase sales due to the formation of a holistic perception of the company by different groups of people. The concept of social marketing focuses on social responsibility and is closely linked to long-term development. Social marketing is a market activity whose priority is to improve the lives of individuals, social groups, and society as a whole. Key words: business project, environmental friendliness, public interests, product competitiveness, social marketing concept, brand loyalty, social marketing initiatives, socially responsible marketing.

Understanding the Impact of Move Your Way® Campaign Exposure on Key Physical Activity Outcomes

Introduction: The Move Your Way® campaign was developed to encourage physical activity contemplators to get active. A pilot test of campaign implementation was conducted and evaluated in eight communities between March and October 2020. Methods: A web-based, cross-sectional survey of adults collected pilot campaign outcome data after campaign implementation. Differences in outcomes between exposed and unexposed groups across the communities were compared. Results: A total of n = 5,140 responded to the survey. Across eight communities, those who reported campaign exposure had 7.2 (95% CI, 6.1-8.6) greater odds of being aware of the Physical Activity Guidelines for Americans (Guidelines) compared to unexposed respondents. Additionally, they had greater odds of identifying the correct aerobic and muscle-strengthening dosages and had 1.4 (95% CI, 1.1-1.6) greater odds of reporting meeting both the aerobic and muscle-strengthening Guidelines. Discussion: In this pilot evaluation, reported exposure to Move Your Way is associated with higher odds of being aware of the Guidelines, knowing recommended dosages, likelihood of becoming more active in the future, higher self-efficacy, making a recent physical activity behavior change, and higher physical activity levels. The Move Your Way campaign can be used in communities to promote physical activity.

Determinants of physical activity behaviour change in (online) interventions, and gender-specific differences: a Bayesian network model

BackgroundPhysical activity (PA) is known to be beneficial for health, but adherence to international PA guidelines is low across different subpopulations. Interventions have been designed to stimulate PA of different target groups by influencing relevant psycho-social determinants, essentially based on a combination of the Integrated Model for Change, the Theory of Planned Behaviour, its successor the Reasoned Action Approach and the self-determination theory. The current study investigates the pathways through which interventions influence PA. Further, gender differences in pathways of change are studied.MethodsAn integrated dataset of five different randomised controlled trial intervention studies is analysed by estimating a Bayesian network. The data include measurements, at baseline and at 3, 6 (short-term), and 12 (long-term) months after the baseline, of important socio-cognitive determinants of PA, demographic factors, and PA outcomes. A fragment is extracted from the Bayesian network consisting of paths between the intervention variable, determinants, and short- and long-term PA outcomes. For each relationship between variables, a stability indicator and its mutual information are computed. Such a model is estimated for the full dataset, and in addition such a model is estimated based only on male and female participants’ data to investigate gender differences.ResultsThe general model (for the full dataset) shows complex paths, indicating that the intervention affects short-term PA via the direct determinants of intention and habit and that self-efficacy, attitude, intrinsic motivation, social influence concepts, planning and commitment have an indirect influence. The model also shows how effects are maintained in the long-term and that previous PA behaviour, intention and attitude pros are direct determinants of long-term PA. The gender-specific models show similarities as well as important differences between the structures of paths for the male- and female subpopulations. For both subpopulations, intention and habit play an important role for short-term effects and maintenance of effects in the long-term. Differences are found in the role of self-efficacy in paths of behaviour change and in the fact that attitude is relevant for males, whereas planning plays a crucial role for females. The average of these differences in subpopulation mechanisms appears to be presented in the general model.ConclusionsWhile previous research provided limited insight into how interventions influence PA through relevant determinants, the Bayesian network analyses show the relevance of determinants mentioned by the theoretical framework. The model clarifies the role that different determinants play, especially in interaction with each other. The Bayesian network provides new knowledge about the complex working mechanism of interventions to change PA by giving an insightful overview of influencing paths. Furthermore, by presenting subpopulation-specific networks, the difference between the influence structure of males and females is illustrated. These new insights can be used to improve interventions in order to enhance their effects. To accomplish this, we have developed a new methodology based on a Bayesian network analysis which may be applicable in various other studies.

The effect of neighborhood walkability on changes in physical activity and sedentary behavior during a 12-week pedometer-facilitated intervention.

Pedometer-facilitated interventions encourage physical activity via the accumulation of steps. Mixed evidence suggests that neighborhood walkability might influence the effectiveness of physical activity interventions, including pedometer-facilitated interventions. Our study investigated the moderating effect of neighborhood walkability on immediate (4-week) and short-term (12-week) changes in self-reported neighborhood-specific leisure and transportation walking, leisure-based moderate and vigorous-intensity physical activity, and leisure-based screen time during a pedometer-facilitated intervention (UWALK). This quasi-experiment undertaken in Calgary (Canada) compared behavior changes during the 12-week intervention between two neighborhood groups classified as 'walkable' or 'car dependent' based on Walk Score®. Of the 573 volunteers (adults in the contemplation and preparation stages of physical activity behavior change), 466 participated in UWALK. Surveys captured sociodemographic characteristics, perceived neighborhood walkability, neighborhood preferences, motivation, physical activity and screen-based leisure. Covariate-adjusted linear mixed models estimated the differences in physical activity and leisure screen time between the neighborhood walkability groups at baseline, 4-weeks, and 12-weeks. UWALK participants included mostly females (83%) and had an average age of 49.2 years. Weekly minutes of walking for transport inside the neighborhood was higher (p < .001) among participants from walkable versus car dependent neighborhoods at baseline (42.5 vs. 21.1), 4-weeks (81.2 vs. 48.2), and 12-weeks (87.2 vs. 48.0). Regardless of neighborhood walkability, all physical activity outcomes were higher and leisure screen time lower at 4-weeks and 12-weeks compared with baseline. We found no significant neighborhood group by time interactions. Pedometer-facilitated interventions may be effective for supporting short-term changes in physical activity and sedentary behavior even among adults residing in low walkable neighborhoods.

Changes in physical activity behavior in children and adolescents: a systematic review and meta-analysis based on a trans-theoretical model.

This article presents a systematic review and meta-analysis of cross-sectional studies of physical activity (PA) behavioral changes in children and adolescents based on the trans-theoretical model (TTM). The main purpose is to test the rationality of TTM and the secondary purpose is to analyze whether PA can effectively identify the stages of change. The databases CNKI, Wan-Fang, VIP, WOS, PubMed, and EBSCO were searched by computer. Two researchers independently reviewed the literature, extracted data, and evaluated the quality of the literature. Stata 23.0 software was used for statistical analysis. A total of 17 articles of medium and high quality were included in the meta-analysis. First, the behavior changes of PA of children and adolescents are related to the process of change (POC), self-efficacy (SEI), and decisional balance (DBL). The POC, SEI, and DBL have obvious stage characteristics. Second, with increasing intensity of PA, the degree of discrimination of stage of change (SOC) also improved, but PA could not still fully distinguish each stage. It is suggested that follow-up studies should compare the stages of change of different criteria by comprehensive behavioral data, exercise willingness, and exercise habits. Furthermore, it is recommended that more studies use longitudinal surveys or experimental interventions to test the rationality of TTM. It is suggested that the follow-up study design more standardized measurement tools to explore the change in PA behavior of children and adolescents.