scholarly journals Habitual Physical Activity Behavior of Patients After Primary Total Hip Arthroplasty

2008 ◽  
Vol 88 (9) ◽  
pp. 1039-1048 ◽  
Author(s):  
Robert Wagenmakers ◽  
Martin Stevens ◽  
Wiebren Zijlstra ◽  
Monique L Jacobs ◽  
Inge van den Akker-Scheek ◽  
...  
Keyword(s):  
Physical Activity ◽  
Total Hip Arthroplasty ◽  
Odds Ratio ◽  
Physical Activity Behavior ◽  
Moderate Intensity ◽  
Physically Active ◽  
Normative Population ◽  
Activity Behavior ◽  
Charnley Class ◽  
Health Enhancing Physical Activity

Background and Purpose Despite recognized health benefits of physical activity, little is known about the habitual physical activity behavior of patients after total hip arthroplasty (THA). The purpose of this study was to analyze this behavior and the fulfillment of guidelines for health-enhancing physical activity of these patients compared with a normative population. Subjects and Methods The participants were 273 patients who had undergone a primary THA (minimum of 1 year postoperatively). Comparisons were made between this group and 273 age- and sex-matched individuals from a normative population. Comparisons also were made between participants with THA under 65 years of age and those 65 years of age and older and among participants with THA in different Charnley classes. Level of physical activity was assessed with the Short QUestionnaire to ASsess Health-enhancing physical activity (SQUASH). Results No significant differences in total amount of physical activity or time spent in different categories of physical activity were found between the THA group and the normative group. Participants with THA spent significantly more minutes in activities of moderate intensity compared with the normative group. Participants with THA who were under 65 years of age were significantly more active than older participants with THA. Charnley class had significant effects on time spent at work, time spent in moderate-intensity activities, and total amount of activity, with the least activity performed by participants in Charnley class C. The guidelines were met by 51.2% of the participants with THA and 48.8% of the normative population. Female participants met the guidelines less frequently than male participants in both the combined groups (odds ratio=0.50, 95% confidence interval=0.35–0.72, P<.001) and the THA group (odds ratio=0.48, 95% confidence interval=0.28–0.80, P=.001). Discussion and Conclusion The results suggest that patients after THA are at least as physically active as a normative population. Nevertheless, a large percentage of these patients do not meet the guidelines; therefore, they need to be stimulated to become more physically active.

Automatic Regulation Used in Sport and Exercise Research

2017 ◽  
Author(s):  
Amanda L. Rebar
Keyword(s):  
Physical Activity ◽  
Physical Activity Behavior ◽  
Sport Performance ◽  
Self Report ◽  
Automatic Regulation ◽  
Physically Active ◽  
Self Identity ◽  
Automatic Associations ◽  
Activity Behavior ◽  
Sport And Exercise

Much of our sport and physical activity behavior is regulated by processes occurring outside of conscious awareness. In contrast, most sport and physical activity research focuses on processes that are easily accessible by conscious introspection. More and more, however, research is demonstrating that automatic regulation is instrumental to our understanding of how to get people to maintain a physically active lifestyle and how to get the most out of people’s sports performance potential. Automatic regulation is the influence on our thoughts and actions that result from the mental network of associations we use to make sense of the world around us. Habits are automatic associations of cues with behavioral responses. Automatic evaluations are automatic associations of cues as being good or bad. Automatic schemas are automatic associations of cues with actual or ideal self-identity. These processes have been assessed with implicit measures by making indirect inferences from self-report or response latency tasks. Emerging research demonstrates that automatic associations influence sport performance and physical activity behavior, but further work is still needed to establish which type of automatic regulation is responsible for these influences and how automatic regulation and reflective processes interact to impact movement.

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.

The Effect of Increasing Autonomy Through Choice on Young Children’s Physical Activity Behavior

2016 ◽  
Vol 13 (4) ◽  
pp. 428-432 ◽  
Author(s):  
Gabriel J. Sanders ◽  
Judith Juvancic-Heltzel ◽  
Megan L. Williamson ◽  
James N. Roemmich ◽  
Denise M. Feda ◽  
...  
Keyword(s):  
Physical Activity ◽  
Young Children ◽  
Free Choice ◽  
Physical Activity Behavior ◽  
Activity Participation ◽  
Laboratory Setting ◽  
Older Children ◽  
Physically Active ◽  
Activity Behavior ◽  
Children’S Physical Activity

Background:Increasing autonomy by manipulating the choice of available physical activity options in a laboratory setting can increase physical activity in older children and adults. However, the effect of manipulating the number of physically active choices has yet to be examined in young children in a gymnasium environment.Methods:Twenty children (n = 10 girls, 6.1 ± 1.4 years old) individually participated in 2 [low choice (LC), high choice (HC)] free-choice activity conditions for 30 minutes in a 4360 square foot gymnasium. Children had access to 2 or 8 physical activity options in the LC and HC conditions, respectively. Physical activity behavior was measured via accelerometry.Results:Children’s 30-minute accelerometer counts increased (P < .03) from the LC (2675 ± 294 counts·min-1) to the HC (3224 ± 280 counts·min-1) condition.Conclusions:Providing greater autonomy through choice of a greater number of physically active options increased young children’s physical activity participation by 20.5%.

Tailored physical activity behavior change interventions: challenges and opportunities

2021 ◽  
Author(s):  
Jasmin K Ma ◽  
Theresa A Floegel ◽  
Linda C Li ◽  
Jenny Leese ◽  
Mary A De Vera ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Activity Behavior ◽  
Participation Rates ◽  
Social Emotional ◽  
Physically Active ◽  
Behavior Change Interventions ◽  
Challenges And Opportunities ◽  
Activity Behavior ◽  
Provider Experience ◽  
Physical Activity Behavior Change

Lay Summary Being physically active has many social, emotional, and health benefits, but very few individuals are active enough to see those benefits. Using interventions that are tailored, in other words, individualized to a person’s characteristics, needs, preferences, and/or situation, may help improve physical activity participation rates. However, a better understanding of how to do tailoring is needed. Our collaboration reviewed the literature and convened to suggest two key opportunities to better understand how tailored approaches to physical activity can be done: (a) improve engagement of those who the research is intended for and (b) understand the ethical impacts and patient/provider experience of using technology to support tailoring.

Ready to be Physically Active? The Effects of a Course Preparing Low-Income Multiethnic Women to be more Physically Active

2004 ◽  
Vol 31 (1) ◽  
pp. 47-64 ◽  
Author(s):  
Rakale Collins ◽  
Rebecca E. Lee ◽  
Cheryl L. Albright ◽  
Abby C. King
Keyword(s):  
Physical Activity ◽  
Low Income ◽  
Social Cognitive ◽  
Physical Activity Intervention ◽  
Paired Comparison ◽  
Physical Activity Behavior ◽  
Physically Active ◽  
Preparatory Course ◽  
Activity Behavior ◽  
Multiethnic Women

The purpose of this study is to evaluate the effect of a preintervention physical activity preparatory course on physical activity, and social, cognitive, and transtheoretical constructs. The sample included 82 low-income, multiethnic women (75% Latina) who completed an 8-week course designed to prepare them to become more active prior to randomization into a 10-month physical activity intervention. Participants completed precourse and postcourse measures. Paired-comparison t tests showed increases in knowledge, perceived social support for exercise, minutes of walking per week, and total cognitive and behavioral processes following the preparatory course. Perceived barriers and self-efficacy for exercise did not change from precourse to postcourse. Preintervention preparatory courses may be an effective way to increase social and cognitive constructs associated with physical activity behavior, potentially yielding a greater effect from subsequent interventions.

Physical activity behavior after total hip arthroplasty (THA): A prediction based on patient characteristics

2007 ◽  
Vol 69 (1-3) ◽  
pp. 196-199 ◽  
Author(s):  
Martin Stevens ◽  
Robert Wagenmakers ◽  
Johan W. Groothoff ◽  
Sjoerd K. Bulstra ◽  
Inge van den Akker-Scheek ◽  
...  
Keyword(s):  
Physical Activity ◽  
Total Hip Arthroplasty ◽  
Hip Arthroplasty ◽  
Physical Activity Behavior ◽  
Patient Characteristics ◽  
Total Hip ◽  
Activity Behavior

scholarly journals Habitual Physical Activity After Total Knee Replacement

2012 ◽  
Vol 92 (9) ◽  
pp. 1109-1116 ◽  
Author(s):  
Roel F.M.R. Kersten ◽  
Martin Stevens ◽  
Jos J.A.M. van Raay ◽  
Sjoerd K. Bulstra ◽  
Inge van den Akker-Scheek
Keyword(s):  
Physical Activity ◽  
Physical Activity Behavior ◽  
Habitual Physical Activity ◽  
Return To Sports ◽  
Physically Active ◽  
Physical Activity Guidelines ◽  
Significant Difference ◽  
Total Knee ◽  
Health Enhancing Physical Activity ◽  
Self Administered Questionnaire

Background Previous studies on physical activity after total knee arthroplasty (TKA) concentrated mainly on a return to sports activities. Objective The objectives of this study were to determine the habitual physical activity behavior of people who had undergone TKA (TKA group) 1 to 5 years after surgery and to examine to what extent they adhered to international guidelines for health-enhancing physical activity. Additional aims were to compare younger (&lt;65 years old) and older (≥65 years old) people as well as men and women in the TKA group and to compare the results for the TKA group with those for a sex- and age-matched normative population (normative group). Design This investigation was a cohort study. Methods All people who had a primary TKA at 1 of 2 participating hospitals between 2002 and 2006 were sent the Short Questionnaire to Assess Health-Enhancing Physical Activity at least 1 year after surgery. Results The TKA group spent, on average, 1,347 minutes per week on physical activity, most of which was light-intensity activity (780 minutes per week). Participants younger than 65 years of age spent significantly more time on physical activity than participants 65 years of age or older. There was no significant difference between male and female participants. Compared with the sex- and age-matched normative group, the TKA group spent significantly less time on the total amount of physical activity per week and met the guidelines for health-enhancing physical activity less often (55% versus 64%). Limitations A self-administered questionnaire was used to assess habitual physical activity, and presurgery data on physical activity were not available. Conclusions Almost half of the TKA group did not meet the health-enhancing physical activity guidelines, and the TKA group was not as physically active as the normative group. People who have undergone TKA should be encouraged to be more physically active.

scholarly journals Exploring the Relationship Between Planned and Performed Physical Activity in University Students: the Utility of a Smartphone App (Preprint)

2019 ◽  
Author(s):  
Matt Taylor Stewart ◽  
Taylor Nezich ◽  
Joyce Lee ◽  
Rebecca Hasson ◽  
Natalie Colabianchi
Keyword(s):  
Physical Activity ◽  
Real Time ◽  
Time Use ◽  
Physical Activity Behavior ◽  
Practical Method ◽  
Physically Active ◽  
Mobile Phone Application ◽  
Activity Behavior ◽  
The Relationship ◽  
Device Technology

BACKGROUND Mobile device technology has been forwarded as a popular method of collecting physical activity and time use data. However, few studies have examined day-level plans to be physically active and subsequent physical activity behavior, likely due to the feasibility of collecting this data. OBJECTIVE The purpose of this study was to test the feasibility and acceptability of a new mobile phone application (Life in a Day App: LIAD) for collecting real-time time-use data among college-aged students and to examine whether plans to be physically active (recorded in advance on an electronic calendar for the protocol period) were associated with objectively-assessed physical activity during the study protocol (measured by accelerometry). METHODS Forty-eight participants were randomly assigned to one of three protocols defined by the number of days of data collection (1, 3, or 5 days). Participants were asked to record their planned activities for the protocol period in a Google calendar and were provided with smartphones (Samsung Galaxy S5) with the LIAD application to complete time-use entries in real time among a set of categories (e.g., exercise/sports, eating/cooking, school, personal care). Participants were instructed to wear an accelerometer (ActiGraph wGT3X+) on their non-dominant wrist during the protocol period (i.e., 24 hours a day) in order to objectively measure physical activity. From the 48 participants, there was a total of 144 days of protocol data collected. RESULTS Overall compliance with the protocol was very high with all participants utilizing the LIAD app. Out of 144 days, 122 days of protocol data were eligible for analysis. Most participants did not plan nor participate in physical activity (76 days, 61% of total days). Activity was not planned but occurred on 17 days (14%). Activity was planned but did not occur on 18 days (15%), while activity was planned and MVPA occurred on 12 days (10%). No differences were found by sex. Activities related to screen time most often replaced planned physical activity, while unplanned physical activity most often related to active transport. The most commonly reported issues were carrying two smartphones and remembering to record activities on the LIAD application in real time. CONCLUSIONS Overall, there was moderate congruence between plans to be physically active and executed physical activity. Despite a few challenges, the LIAD app is a reasonable and practical method of collecting real-time time use data and offers insight into the relationship between planned vs. executed exercise at the day-level.

scholarly journals Health-enhancing physical activity among Saudi adults using the International Physical Activity Questionnaire (IPAQ)

2007 ◽  
Vol 10 (1) ◽  
pp. 59-64 ◽  
Author(s):  
Hazzaa M Al-Hazzaa
Keyword(s):  
Physical Activity ◽  
Physical Inactivity ◽  
International Physical Activity Questionnaire ◽  
Moderate Intensity ◽  
Physically Active ◽  
Physical Activity Questionnaire ◽  
Intensity Physical Activity ◽  
Vigorous Intensity ◽  
Health Enhancing Physical Activity ◽  
Activity Questionnaire

AbstractObjectivesTo describe the physical activity profile of Saudi adults living in Riyadh, using the International Physical Activity Questionnaire (IPAQ) short-version telephone format.MethodsPhysical activity was assessed using the official Arabic short form of IPAQ, intended for use in telephone interview. The instrument asks for times spent in walking, moderate- and vigorous-intensity physical activity of at least 10 min duration. The sample consisted of 1616 Saudis, between 15 and 78 years of age, living in Riyadh. Participants were drawn from a list of names in the telephone book using a simple random method. Telephone interviews were administered during the spring of 2003 by trained male interviewers.ResultsThe final sample size was 1064 Saudi males and females (response rate of 66%), with males comprising about 66% of the respondents. Over 43% of Saudis did not participate in any type of moderate-intensity physical activity lasting for at least 10 min. More than 72% of the sample did not engage in any type of vigorous-intensity physical activity lasting for at least 10 min. The proportion of Saudis who walked for 150 min or more per week was 33.3%. Females were engaged more in moderate physical activity than males, whereas males participated more in vigorous activity compared with females. Activity levels did not show significant relationships with education level or job hours per week. Based on the three activity categories established by IPAQ, 40.6% of Saudis were inactive, 34.3% were minimally active and 25.1% were physically active. Physical inactivity increased with advancing age.ConclusionThe data suggest that the prevalence of physical inactivity among Saudis adults is relatively high. Efforts are needed to encourage Saudis to be more physically active, with the goal of increasing the proportion of Saudis engaging in health-enhancing physical activity.

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