scholarly journals A Systematic Review Examining the Relationship Between Habit and Physical Activity Behavior in Longitudinal Studies

2021 ◽  
Vol 12 ◽  
Author(s):  
Katharina Feil ◽  
Sarah Allion ◽  
Susanne Weyland ◽  
Darko Jekauc
Keyword(s):  
Physical Activity ◽  
Longitudinal Studies ◽  
Physical Activity Behavior ◽  
Habit Strength ◽  
Assessment Tools ◽  
Activity Behavior ◽  
Positive Correlations ◽  
Study Designs ◽  
The Relationship ◽  
Physical Activity Maintenance

Purpose: To explain physical activity behavior, social-cognitive theories were most commonly used in the past. Besides conscious processes, the approach of dual processes additionally incorporates non-conscious regulatory processes into physical activity behavior theories. Habits are one of various non-conscious variables that can influence behavior and thus play an important role in terms of behavior change. The aim of this review was to examine the relationship between habit strength and physical activity behavior in longitudinal studies.Methods: According to the PRISMA guidelines, a systematic search was conducted in three databases. Only peer-reviewed articles using a longitudinal study design were included. Both, habit and physical activity were measured at least once, and habit was related to physical activity behavior. Study quality was evaluated by assessment tools of the NHLBI.Results: Of 3.382 identified publications between 2016 and 2019, fifteen studies with different study designs were included. Most studies supported that positive correlations between habit and physical activity exist. Some positive direct and indirect effects of habit on physical activity were detected and only a minority of studies showed the influence of physical activity on habit strength. Studies differentiating between instigation and execution habit found positive correlations and revealed instigation habit as a stronger predictor of physical activity. The quality of studies was rated as reasonable using assessment tools of the NHLBI.Conclusion: This review revealed a bidirectional relationship between habit and physical activity. Whether habit predicts physical activity or vice versa is still unclear. The observation of habit influencing physical activity may be most appropriate in studies fostering physical activity maintenance while the influence of physical activity on habit may be reasonable in experimental studies with physical activity as intervention content to form a habit. Future investigations should differentiate between habit formation and physical activity maintenance studies depending on the research objective. Long-term study designs addressing the complexity of habitual behavior would be beneficial for establishing cue-behavior associations for the formation of habits. Furthermore, studies should differentiate between instigation and execution habit in order to investigate the influence of both variables on physical activity behavior independently.

Prevalence of Physical Activity Among Lebanese Adults: A Cross-Sectional Study

2009 ◽  
Vol 6 (3) ◽  
pp. 315-320 ◽  
Author(s):  
Mohamad Al-Tannir ◽  
Samer Kobrosly ◽  
Taha Itani ◽  
Mariam El-Rajab ◽  
Sawsan Tannir
Keyword(s):  
Physical Activity ◽  
Medical History ◽  
Smoking Status ◽  
Physical Activity Behavior ◽  
Cross Sectional Study ◽  
Normal Weight ◽  
Sectional Study ◽  
Cross Sectional ◽  
Activity Behavior ◽  
The Relationship

Background:This survey aims to assess the prevalence of physical activity among adult Lebanese, and to report the relationship between sociodemographic variables and physical activity behavior, highlighting the correlates discouraging people to carry out physical activity.Methods:A cross-sectional study using an anonymous self-reported questionnaire was conducted on 346 adults from four Lebanese districts. Demographic characteristics, physical activity, smoking status, alcohol consumption, and medical history were obtained.Results:Prevalence of physical activity among Lebanese adults was 55.5% (192/346). Age, BMI, marital status, medical history, occupation, educational level, and smoking were significantly associated with physical activity (P < .05). Inactive obese participants were about three times more likely to report hypertension and diabetes than inactive normal weight participants (P = .013). BMI was significantly higher among inactive participants (P = .014).Conclusion:Physical activity among Lebanese adults was comparable to other populations. Married, non–office workers, and smokers were the main correlates of physical inactivity in Lebanese adulthood.

scholarly journals Lutein Intake and Blood Lutein Concentration Are Positively Associated with Physical Activity in Adults: A Systematic Review

Nutrients ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1186 ◽  
Author(s):  
Madeline Cooke ◽  
Alison Coates ◽  
Elizabeth Buckley ◽  
Jonathan Buckley
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Blood Concentration ◽  
Web Of Science ◽  
Physical Activity Behavior ◽  
Self Report ◽  
Inclusion Criteria ◽  
Activity Behavior ◽  
Measure Of Association ◽  
The Relationship

Lutein is a carotenoid that reduces the risk of some chronic diseases, possibly by altering physical activity behavior. The objective of this study was to conduct a systematic review of studies examining the relationship between lutein status (dietary intake/blood concentration) and physical activity. Peer-reviewed studies published in Medline, Web of Science, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Scopus, and Embase were included if they reported a measure of association between lutein status and physical activity. Seventeen studies met the inclusion criteria. Eleven reported positive associations, three reported mixed results, and three reported no association. Two studies used objective measures of lutein status (blood concentration) and physical activity (accelerometry) and reported positive associations, with correlations of ≥0.36 and differences of ≥57% in physical activity between upper and lower tertiles. Studies using self-report measures reported weaker correlations (r = 0.06 to 0.25), but still more physical activity (18% to ≥600% higher) in those with the highest compared with the lowest lutein status. Higher lutein status may be associated with higher levels of physical activity, which may contribute to a reduced risk of chronic disease.

The relationship between fitness app use and physical activity behavior is mediated by exercise identity

2020 ◽  
Vol 108 ◽  
pp. 106313 ◽  
Author(s):  
Jacob E. Barkley ◽  
Andrew Lepp ◽  
Antonio Santo ◽  
Ellen Glickman ◽  
Bryan Dowdell
Keyword(s):  
Physical Activity ◽  
Physical Activity Behavior ◽  
Exercise Identity ◽  
Activity Behavior ◽  
The Relationship

scholarly journals Using a Mobile Phone App to Analyze the Relationship Between Planned and Performed Physical Activity in University Students: Observational Study

10.2196/17581 ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. e17581
Author(s):  
Matthew T Stewart ◽  
Taylor Nezich ◽  
Joyce M Lee ◽  
Rebecca E Hasson ◽  
Natalie Colabianchi
Keyword(s):  
Physical Activity ◽  
University Students ◽  
Mobile Phone ◽  
Real Time ◽  
Time Use ◽  
Physical Activity Behavior ◽  
Physically Active ◽  
Activity Behavior ◽  
And Behavior ◽  
The Relationship

Background The relationship between intention and behavior has been well researched, but most studies fail to capture dynamic, time-varying contextual factors. Ecological momentary assessment through mobile phone technology is an innovative method for collecting data in real time, including time-use data. However, only a limited number of studies have examined day-level plans to be physically active and subsequent physical activity behavior using real-time time-use data to better understand this relationship. Objective This study aims to examine whether plans to be physically active (recorded in advance on an electronic calendar) were associated with objectively assessed physical activity (accelerometry), to identify activities that replaced planned periods of physical activity by using the mobile app Life in a Day (LIAD), and to test the feasibility and acceptability of LIAD for collecting real-time time-use data. Methods The study included 48 university students who were randomly assigned to 1 of 3 protocols, which were defined by 1, 3, or 5 days of data collection. Participants were asked to record their planned activities on a Google Calendar and were provided with mobile phones with LIAD to complete time-use entries in real time for a set of categories (eg, exercise or sports, eating or cooking, school, or personal care). Participants were instructed to wear an accelerometer on their nondominant wrist during the protocol period. A total of 144 days of protocol data were collected from the 48 participants. Results Protocol data for 123 days were eligible for analysis. A Fisher exact test showed a statistically significant association between plans and physical activity behavior (P=.02). The congruence between plans and behavior was fair (Cohen κ=0.220; 95% CI 0.028-0.411). Most participants did not plan to be active, which occurred on 75.6% (93/123) of days. Of these 93 days, no physical activity occurred on 76 (81.7%) days, whereas some physical activity occurred on 17 (18.3%) days. On the remaining 24.4% (30/123) of days, some physical activity was planned. Of these 30 days, no physical activity occurred on 18 (60%) days, whereas some physical activity occurred on 12 (40%) days. LIAD data indicated that activities related to screen time most often replaced planned physical activity, whereas unplanned physical activity was often related to active transport. Feasibility analyses indicated little difficulty in using LIAD, and there were no significant differences in feasibility by protocol length. Conclusions Consistent with previous literature, physical activity plans and physical activity behaviors were linked, but not strongly linked. LIAD offers insight into the relationship between plans and behavior, highlighting the importance of active transport for physical activity and the influence of screen-related behaviors on insufficient physical activity. LIAD is a feasible and practical method for collecting time-use data in real time.

Examining Gender Differences In The Relationship Between The Environment, Fitness Outcomes And Physical Activity Behavior

2016 ◽  
Vol 48 ◽  
pp. 1067
Author(s):  
Melissa Bopp ◽  
Zack Papalia ◽  
Christopher M. Bopp ◽  
Dangaia Sims ◽  
Kaelah Shaffer ◽  
...  
Keyword(s):  
Physical Activity ◽  
Gender Differences ◽  
Physical Activity Behavior ◽  
Activity Behavior ◽  
The Relationship

Social Influence, Physical Activity, and Social Cognitions Among Adults With Physical Disability: A Meta-Analysis

2017 ◽  
Vol 6 (3) ◽  
pp. 271-285 ◽  
Author(s):  
Jessie N. Stapleton ◽  
Diane E. Mack ◽  
Kathleen A. Martin Ginis
Keyword(s):  
Physical Activity ◽  
Social Influence ◽  
Physical Disability ◽  
Chronic Conditions ◽  
Meta Analysis ◽  
Physical Activity Behavior ◽  
Social Cognitions ◽  
Activity Behavior ◽  
The Relationship ◽  
Physical Activity Behavior Change

The aim of this meta-analysis was to examine the magnitude of the relationship between social influence and both PA behavior and PA-related social cognitions among samples of adults with physical disabilities, including those with chronic conditions that can lead to a physical disability. A comprehensive literature search was conducted to identify studies involving adults with physical disability, a measure of social influence, and a measure of PA behavior or PA-related social cognitions. A total of 27 studies with 4,768 participants yielded 47 effect sizes to be included for meta-analysis. Significant, small- to medium-sized relationships were identified between social influence and PA behavior, and social influence and PA-related social cognitions. These relationships suggest that social factors positively associate with physical-activity-related social cognitions and should be targeted when promoting physical activity behavior change among adults with a physical disability.

Behavioral Interventions and Physical Activity in Older Adults: Gains and Gaps

2016 ◽  
Vol 5 (1) ◽  
pp. 57-64 ◽  
Author(s):  
Sara Wilcox
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Strong Evidence ◽  
Behavioral Interventions ◽  
Physical Activity Behavior ◽  
Research And Practice ◽  
Mediation Analyses ◽  
Key Concepts ◽  
Activity Behavior ◽  
Physical Activity Maintenance

There is strong evidence that older adults greatly benefit from regular physical activity. Yet, older age is consistently associated with lower levels of aerobic physical activity and strength training and higher levels of sedentary behavior, underscoring the need to better understand physical activity behavior in this population. Reviews of interventions to increase physical activity have overall yielded promising results. Interventions based on behavior theory appear to be more effective than non-theory-based interventions, yet strategies from these theories are underutilized in both research and practice. This paper discusses the importance of behavioral interventions, cites findings from the Active for Life initiative to illustrate several key concepts, and provides recommendations to address significant gaps in the literature, including the use of theory, mediation analyses, physical activity maintenance, diversity of participants, and dissemination and translational research.

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