scholarly journals The influence of common method bias on the relationship of the socio-ecological model in predicting physical activity behavior

2017 ◽  
Vol 8 (1) ◽  
pp. 41-45 ◽  
Author(s):  
Savanna Wingate ◽  
Eveleen Sng ◽  
Paul D. Loprinzi
Keyword(s):  
Physical Activity ◽  
Ecological Model ◽  
Physical Activity Behavior ◽  
Common Method ◽  
Common Method Bias ◽  
Activity Behavior ◽  
Relationship Of ◽  
Method Bias ◽  
The Relationship

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.

Factors Affecting Organisational Learning: The Case of a Medical Centre

2021 ◽  
pp. 097206342110352
Author(s):  
Orit Shamir-Bladerman
Keyword(s):  
Organisational Culture ◽  
Organisational Learning ◽  
Self Report ◽  
Common Method ◽  
Learning Mechanisms ◽  
Medical Department ◽  
Large Hospital ◽  
Common Method Bias ◽  
Method Bias ◽  
The Relationship

Despite many studies that examined the relationship between organisational learning and organisational culture, none examined whether the levels of learning differ within a given organisation and if so, what factors lead to this difference. This article is based upon a study on organisational learning and investigates the relationship among organisational learning, culture and structure. Quantitative research was conduct on organisational learning practices in 17 medical departments of a large hospital in Israel. Three main categories of variables were examined: mapping the learning mechanisms, characterising the organisational culture and examining the organisational structure of various departments. Organisational learning was measured by means of a set of organisational learning mechanisms used in each medical department. Because data were collected from individuals, it was necessary to control and overcome self-report and common method bias. Reverse scoring of items, the use of variation in wording of items and guaranteeing anonymity to respondents helped control common method bias. As expected, it was found that those departments do differ one from the others by the extent to which organisational learning mechanisms are systematically used. The article further presents and discusses the effects of some structural and cultural factors upon levels of organisational learning on those departments. Both the method and the results of this research differ from previous studies of organisational learning; thus, the article sheds a new light on the concept of organisational learning. The study points to the importance and need of organisations to adopt a culture that encourages use of these organisational learning mechanisms to create effective and ongoing organisational learning. Increasing awareness among hospital departments of organisational learning as an essential process for coping with environmental change is also an important practical contribution.

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.

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.

Relationship of Physical Activity Behavior with Insulin Sensitivity over Five Years after Diagnosis of Type 2 Diabetes

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 748-P
Author(s):  
DOMINIK PESTA ◽  
PAVEL BOBROV ◽  
OANA P. ZAHARIA ◽  
KÁLMÁN BÓDIS ◽  
YANISLAVA KARUSHEVA ◽  
...  
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Insulin Sensitivity ◽  
Physical Activity Behavior ◽  
Activity Behavior ◽  
Relationship Of

scholarly journals Expressed Turnover Intention: Alternate Method for Knowing Turnover Intention and Eradicating Common Method Bias

2017 ◽  
Vol 78 ◽  
pp. 18-26 ◽  
Author(s):  
Ghulam Abid ◽  
Tahira Hassan Butt
Keyword(s):  
Turnover Intention ◽  
Building Blocks ◽  
Common Method ◽  
Common Method Bias ◽  
The Common ◽  
New Perspective ◽  
The Times ◽  
The Cost ◽  
Method Bias ◽  
The Relationship

Employees are the building blocks and valuable assets in an organization. Organizational researchers and practitioners have shown a burgeoning attention to satisfy and retain key performer as the cost of leaving a job is very high for the employing organizations. Discovering turnover intention in its formation stages is very crucial, not only to resist its’ piled up effect but also to control the actual turnover in the future. Most of the times, management is not aware of the employee’s quit intention because employees don’t show their intention explicitly until they actually leave the organization. However, majority of the times employees share their feeling with their colleagues or other close work mates. Based on positive relationship at work, we argued that the individuals who work together normally share their feelings with their close colleagues regarding their decision of leaving or staying (expressed turnover intention) with the current employer. Therefore, the objective of the current study is to investigate the relationship between turnover intention and expressed turnover intention. Furthermore, we offer a new perspective to data collection from other sources, which will assist us in shortening the questionnaire, also minimizing the common method bias and knowing the quit intention from other source. Finally, theoretical and practical implications along with direction for future studies are also discussed.

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
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