scholarly journals Development of a School-Based Intervention to Increase Physical Activity Levels Among Chinese Children: A Systematic Iterative Process Based on Behavior Change Wheel and Theoretical Domains Framework

2021 ◽  
Vol 9 ◽  
Author(s):  
Haiquan Wang ◽  
Holly Blake ◽  
Kaushik Chattopadhyay
Keyword(s):  
Physical Activity ◽  
Literature Review ◽  
Behavior Change ◽  
Iterative Process ◽  
Public Involvement ◽  
Theoretical Domains Framework ◽  
Physical Activity Behavior ◽  
Chinese Children ◽  
Activity Levels ◽  
Behavior Change Wheel

Regular physical activity has a range of benefits for children's health, academic achievement, and behavioral development, yet they face barriers to participation. The aim of the study was to systematically develop an intervention for improving Chinese children's physical activity participation, using the Behavior Change Wheel (BCW) and Theoretical Domains Framework (TDF). The BCW and TDF were used to (i) understand the behavior (through literature review), (ii) identify intervention options (through the TDF-intervention function mapping table), (iii) select content and implementation options [through behavior change technique (BCT) taxonomy and literature review], and (iv) finalize the intervention content (through expert consultation, patient and public involvement and engagement, and piloting). A systematic iterative process was followed to design the intervention by following the steps recommended by the BCW. This systematic process identified 10 relevant TDF domains to encourage engagement in physical activity among Chinese children: knowledge, memory, attention and decision processes, social influences, environmental context and resources, beliefs about capabilities, beliefs about consequences, social/professional role and identity, emotions, and physical skills. It resulted in the selection of seven intervention functions (education, persuasion, environmental restricting, modeling, enablement, training, and incentivization) and 21 BCTs in the program, delivered over a period of 16 weeks. The BCW and TDF allowed an in-depth consideration of the physical activity behavior among Chinese children and provided a systematic framework for developing the intervention. A feasibility study is now being undertaken to determine its acceptability and utility.

scholarly journals Physical Activity Behavior Change Driven by Engagement With an Incentive-Based App: Evaluating the Impact of Sweatcoin (Preprint)

2018 ◽  
Author(s):  
Mark Elliott ◽  
Felicia Eck ◽  
Egor Khmelev ◽  
Anton Derlyatka ◽  
Oleg Fomenko
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Physical Activity Behavior ◽  
Step Count ◽  
Activity Levels ◽  
Daily Step ◽  
Activity Change ◽  
Daily Step Count ◽  
Activity Behavior ◽  
Physical Activity Behavior Change

BACKGROUND Physical inactivity, now the fourth leading cause of death, is a primary element of noncommunicable diseases. Despite a great number of attempts, there is still a lack of effective approaches that can motivate sedentary populations to increase their levels of physical activity over a sustained period. Incentives for exercise can provide an immediate reward for increasing activity levels, but because of limited funding to provide rewards, previous programs using this approach have only shown short-term changes in behavior. Sweatcoin (Sweatco Ltd, UK) is an app-based platform that converts physical movement into virtual currency. The currency can be exchanged for goods and services on their marketplace, providing a continuous incentive to be active. This study investigates the physical activity behavior change observed in Sweatcoin users over a 6-month period of app usage. OBJECTIVE The aim of this study was to investigate the change in physical activity (measured using daily step count) of a sample of Sweatcoin users, the longevity of the change, and whether this change can be predicted by demographic and other lifestyle variables. METHODS Activity data from a sample of 5892 Sweatcoin users were used to analyze daily step count. Activity change was measured in terms of the percentage change in average daily step count for each month after registration, relative to that in the 3 months before using the app. Users were grouped according to having no or negative, moderate, or high activity change. A subset of users completed a questionnaire that allowed differences between groups in terms of activity and demographic status to be investigated using regression analyses. RESULTS Daily step count increased by 19% on average over the 6 months following registration (P<.001). Of the questionnaire respondents, 728 were valid responses. A multinomial logistic regression identified the key drivers of moderate and high activity behavior change relative to no or negative change based on the defined groupings. There was a clear impact of seasonality, with those registering for the app in winter (odds ratio [OR] 4.67; P=.001) and spring (OR 5.05; P=.001) being more likely to show high positive activity behavior change than those registering in summer. More striking were the results identifying those classified as overweight (measured through body mass index [BMI]; OR 1.83; P=.02) and less active (based on a self-reported scale of physical activity; OR 0.88; P=.048), being most likely to show high levels of physical activity change following registration with the app. CONCLUSIONS The results highlight that an incentives-based app can induce significant physical activity behavior change, sustained over a 6-month period. Importantly, the results suggest that those typically lacking motivation to exercise (sedentary and high BMI) are most likely to be incentivized to increase their activity levels.

Student and Parent Self-Reported Changes in Physical Activity Behavior while Wearing an Unsealed Pedometer

2006 ◽  
Vol 18 (4) ◽  
pp. 492-499 ◽  
Author(s):  
Michael W. Beets ◽  
Arissa G. Eilert ◽  
Kenneth H. Pitetti ◽  
John T. Foley
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Television Viewing ◽  
Physical Activity Behavior ◽  
Outdoor Play ◽  
Activity Levels ◽  
Children And Parents ◽  
Physical Activity Levels ◽  
Activity Behavior ◽  
Reactive Effect

Child-parent pairs (n = 109) completed a questionnaire assessing whether changes in normal physical activity levels occurred (child) or were observed (parent) when the children wore a pedometer for 7 days. Over two-thirds of the children (78.5%) and almost half of the parents (47.3%) indicated an increase in the child’s normal physical activity. Reduced television viewing (75.2%) and increased outdoor play on the weekend (35.8%) were the most frequently reported means of behavior change as reported by the children and parents, respectively. Results indicate that both children and parents perceive a reactive effect to wearing an unsealed pedometer.

Physical activity behavior change: Issues in adoption and maintenance.

2000 ◽  
Vol 19 (1, Suppl) ◽  
pp. 32-41 ◽  
Author(s):  
Bess H. Marcus ◽  
LeighAnn H. Forsyth ◽  
Elaine J. Stone ◽  
Patricia M. Dubbert ◽  
Thomas L. McKenzie ◽  
...  
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Physical Activity Behavior ◽  
Activity Behavior ◽  
Physical Activity Behavior Change

scholarly journals Baby Steps: Using Intervention Mapping to Develop a Sustainable Perinatal Physical Activity Healthcare Intervention

2021 ◽  
Vol 18 (11) ◽  
pp. 5869
Author(s):  
Anna M. Dieberger ◽  
Mireille N. M. van Poppel ◽  
Estelle D. Watson
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Community Health ◽  
Community Health Workers ◽  
Health Workers ◽  
Intervention Mapping ◽  
Healthcare Intervention ◽  
Activity Levels ◽  
Major Barrier ◽  
Practical Applications

While the benefits of physical activity (PA) during and after pregnancy have been established, many women do not reach the recommended PA levels during this time. A major barrier found in the literature is a lack of counselling by healthcare providers (HCPs), which is partly caused by the limited knowledge on the topic. The aim of this study was to develop an intervention to improve the promotion of PA by HCPs. We used Intervention Mapping (IM), a theory-based framework to develop an intervention, called “Baby steps”, in a high-income (Austria) and a low-to-middle-income country (South Africa). We applied the following IM steps: (1) A needs assessment to determine the barriers and enablers of PA promotion by HCPs, including a scoping literature review and community needs assessments (qualitative interviews, questionnaires, and focus groups with midwives, obstetricians, and community health workers) to determine the desired outcomes of the intervention. (2) Performance and change objectives were formulated, describing the behaviors that need to change for the intervention to succeed. (3) Based on these objectives, theory-based behavior change techniques were selected, and practical applications were developed. (4) The applications were combined into two evidence-based interventions tailored to each country’s needs. Step (5) and (6) consist of an implementation and evaluation plan, respectively. The intervention is aimed at HCPs, such as midwives and community health workers, consisting of a two-day training course, including practical resources. Combining didactic and interactive education, it addresses both PA knowledge and the skills needed to transfer knowledge and facilitate behavior change. In the future, the intervention’s effect on women’s activity levels during and after pregnancy needs to be studied.

Effect of Confinement by COVID-19 on the Lifestyle of the University Population of Argentina: Evaluation of Physical Activity, Food and Sleep (Efecto del confinamiento por COVID-19 sobre el estilo de vida en población universitaria de Argentina: Evaluaci

Retos ◽  
2021 ◽  
Vol 43 ◽  
pp. 274-282
Author(s):  
Leonardo Intelangelo ◽  
Nacim Molina Gutiérrez ◽  
Nicolás Bevacqua ◽  
Cristian Mendoza ◽  
Iris Paola Guzmán-Guzmán ◽  
...  
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
Physical Activity Behavior ◽  
Cross Sectional Study ◽  
Lifestyle Changes ◽  
Poor Sleep ◽  
Activity Levels ◽  
Cross Sectional ◽  
Good Nutrition ◽  
University Population

Objective: to determine lifestyle changes, such as physical activity, nutrition, and sleep in an Argentinean university population, caused by confinement during the COVID-19 pandemic. Methods: Cross-sectional study via web survey. 1021 the Argentinean university population (women, n = 645 and men, n = 376) aged between 18–70 years old was participate. Survey was utilized to measure participant physical activity behavior, nutrition, and sleep April to May 2020. Results: the main findings revealed that 4.3% of the sample showed obesity; the highest proportion of the sample stayed more than 6 hours in a sedentary status; 21.74% reported bad sleep quality; a reduction in good feeding pattern; and an increase in subjects who do not perform physical activity. According to socio-demographic and anthropometric factors, being a student (OR 2.19, CI95% 1.18 - 4, p= .012), overweight (OR 1.71, CI95% 1.19 – 2.44, p= .003), obesity (OR 4.45, CI95% 2.27 – 8.7, p< .001), and have been confined more than 45 days was associated with bad feeding. Likewise, low physical activity levels were associated with obesity (OR 3.2 CI95% 1.66 – 6.18, p= .001), being female (OR 1.61, CI95% 1.14 –2.28, p= .006) and get married (OR 1.72, CI95% 1.14 – 2.61, p= .009). Moreover, being a student was associated with poor sleep quality (OR 43.6, CI95%5.4 – 350, p< .001). Conclusion: This study suggests that confinement decreased healthy living habits such as good nutrition and physical activity and affected the quality of sleep in young subjects.  Resumen. Objetivo: determinar los cambios en el estilo de vida, como la actividad física, la nutrición y el sueño en una población universitaria argentina, causados por el confinamiento durante la pandemia de COVID-19. Métodos: Estudio transversal mediante encuesta por Internet. Participaron 1021 personas de la población universitaria argentina (mujeres, n = 645 y hombres, n = 376) de entre 18 y 70 años de edad. La encuesta fue utilizada para medir el comportamiento de la actividad física, la nutrición y el sueño de los participantes de abril a mayo de 2020.Resultados: los principales hallazgos mostraron que el 4,3% de la muestra presentaba obesidad; la mayor proporción de la muestra permaneció más de 6 horas en estado sedentario; el 21,74% informó sobre la mala calidad del sueño; una reducción de los hábitos correctos de alimentación; y un aumento de los participantes que no realizan actividad física. De acuerdo con factores socio-demográficos y antropométricos, ser estudiante (OR 2.19, CI95% 1.18 - 4, p= .012), el sobrepeso (OR 1.71, CI95% 1.19 - 2.44, p= .003), la obesidad (OR 4.45, CI95% 2.27 - 8.7, p< .001), y haber estado confinado más de 45 días se asoció con una mala alimentación. Asimismo, los bajos niveles de actividad física se asociaron con la obesidad (OR 3,2; IC95% 1,66 - 6,18, p= .001), ser mujer (OR 1,61; IC95% 1,14 -2,28, p= .006) y estar casado (OR 1,72; IC95% 1,14 - 2,61, p= .009). Además, ser estudiante se asoció con una mala calidad de sueño (OR 43,6, CI95% 5,4 - 350, p< .001). Conclusión: Este estudio sugiere que el confinamiento disminuyó los hábitos de vida saludables como la buena nutrición, la actividad física, y afectó la calidad del sueño en sujetos jóvenes.

Physical Activity Behavior and Competing Activities: Interrelations in 55- to 70-Year-Old Germans

2017 ◽  
Vol 25 (4) ◽  
pp. 576-586 ◽  
Author(s):  
Volker Cihlar ◽  
Sonia Lippke
Keyword(s):  
Physical Activity ◽  
Nursing Care ◽  
Negative Relationship ◽  
Physical Activity Behavior ◽  
Active Citizenship ◽  
Activity Levels ◽  
Paid Work ◽  
Enabling Factors ◽  
Cross Sectional ◽  
Activity Behavior

In this study, we draw attention to time-competing activities and psychological variables as impeding or enabling factors of physical activity behavior in 55- to 70-year-old Germans. Cross-sectional data was used (n = 4,891). Results indicate that paid work has a negative relationship with sufficient physical activity. Persons who provide nursing care seem to be motivated to achieve sufficient physical activity behavior, but do not meet established recommendations. Active citizenship positively relates to higher physical activity levels. The investment of energy in life domains and a distinct internal locus of control characterize motivated underachievers. Those sufficiently physically active show higher values in conscientiousness. This suggests that time-consuming and strongly externally determined activities like nursing care and paid work hinder a sufficient level of physical activity, even if the motivation is existent. Active citizenship and physical activity seem to be linked processes.

A Review of Physical Activity Interventions Delivered via Facebook

2017 ◽  
Vol 14 (10) ◽  
pp. 823-833 ◽  
Author(s):  
David A. Ferrer ◽  
Rebecca Ellis
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Physical Activity Behavior ◽  
Small Sample ◽  
Secondary Outcome ◽  
Control Group ◽  
Delivery Method ◽  
Physical Activity Interventions ◽  
Activity Behavior ◽  
Physical Activity Behavior Change

Background:The use of social networking sites to deliver behavioral interventions is becoming more prevalent. The purpose of this review was to systematically evaluate the published research to determine the effectiveness of Facebook-delivered interventions for promoting physical activity behavior change.Methods:A search of interventions delivered via Facebook (as the primary delivery method or part of a multifaceted intervention) in which physical activity was the primary or secondary outcome resulted in 8 studies for review.Results:Overall, 87.5% of the Facebook interventions reported some type of significant physical activity behavior change (ie, interactions, main effects for time, differences between conditions); however, only 2 of these interventions found this change to be significantly better for the treatment group than the control group.Conclusion:Future researchers are encouraged to test the effectiveness of Facebook-delivered physical activity interventions with additional control groups that receive no aspects of the intervention within experimental study designs, more diverse samples, theory-based content with assessment of mediators of behavior change, direct observations of physical activity, and long-term follow-ups. Although based on a small sample of studies, Facebook appears to be a promising delivery method for physical activity interventions.

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