scholarly journals Maintaining Physical Activity Level Through Team-Based Walking With a Mobile Health Intervention: Cross-Sectional Observational Study

10.2196/16159 ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. e16159
Author(s):  
Yuri Hamamatsu ◽  
Hiroo Ide ◽  
Michiru Kakinuma ◽  
Yuji Furui
Keyword(s):  
Physical Activity ◽  
Regression Analysis ◽  
Mobile Health ◽  
Physical Activity Level ◽  
Activity Level ◽  
Behavioral Characteristics ◽  
Team Size ◽  
Team Members ◽  
Team Characteristics ◽  
The Difference

Background The health conditions of Japanese salespersons may be adversely affected by their lifestyle. Face-to-face or on-site health interventions are not convenient for salespersons because of their tendency for out-of-office sales. Previous studies showed that mobile health (mHealth) interventions (compared to usual practice) have great potential to promote physical activity. For Japanese salespersons, mHealth can offer additional convenience to change their physical activity habits because they can access the mHealth contents anytime and anywhere. However, the specific elements that are most important to maintain physical activity levels using an mHealth approach remain unclear. Objective We aimed to identify elements that account for both a high average physical activity level and can help to prevent a decrease in physical activity during a 9-week intervention period. Methods Salespersons were recruited from 11 Japanese companies. A team-based walking intervention was held from October to December 2018 (for a total of 9 weeks), during which the walking step data were recorded by smartphone apps. Average walking steps of each participant during the intervention and the difference in walking steps between the initial and the final week were respectively used as dependent variables. The effects of team characteristics (ie, frequency of communication with team members and team size) and behavioral characteristics (ie, number of days with recorded steps on the apps) on the average walking steps, and the difference in walking steps between the initial and the final week were estimated using multiple and multilevel regression analyses. Results Of the 416 participants, walking step data of 203 participants who completed postintervention assessments were included in the analyses. Multiple regression analysis of the average walking steps showed that the number of days with recorded steps was positively correlated with the log-transformed average walking steps (β=.01, P<.001). Multilevel analysis of the average walking steps considering the company level estimated that the intraclass correlation coefficient was 37%. This means that belonging to the same company largely affected an individual’s average walking steps. Multiple regression analysis of the difference in walking steps showed that communication with team members once or twice a week correlated with preventing a decrease in walking steps from the initial to the final week (β=1539.4, P=.03), and being on a larger team correlated with a decrease in walking steps from the initial to the final week (β=–328.4, P=.01). Conclusions This study showed that the elements accounting for high average walking steps and those preventing the decrease in walking steps from the initial to the final week differed. Behavioral characteristics correlated positively with average walking steps. Team characteristics (ie, regular communication and a smaller team size) significantly correlated with preventing a decrease in walking steps.

scholarly journals Maintaining Physical Activity Level Through Team-Based Walking With a Mobile Health Intervention: Cross-Sectional Observational Study (Preprint)

2019 ◽  
Author(s):  
Yuri Hamamatsu ◽  
Hiroo Ide ◽  
Michiru Kakinuma ◽  
Yuji Furui
Keyword(s):  
Physical Activity ◽  
Regression Analysis ◽  
Mobile Health ◽  
Physical Activity Level ◽  
Activity Level ◽  
Behavioral Characteristics ◽  
Team Size ◽  
Team Members ◽  
Team Characteristics ◽  
The Difference

BACKGROUND The health conditions of Japanese salespersons may be adversely affected by their lifestyle. Face-to-face or on-site health interventions are not convenient for salespersons because of their tendency for out-of-office sales. Previous studies showed that mobile health (mHealth) interventions (compared to usual practice) have great potential to promote physical activity. For Japanese salespersons, mHealth can offer additional convenience to change their physical activity habits because they can access the mHealth contents anytime and anywhere. However, the specific elements that are most important to maintain physical activity levels using an mHealth approach remain unclear. OBJECTIVE We aimed to identify elements that account for both a high average physical activity level and can help to prevent a decrease in physical activity during a 9-week intervention period. METHODS Salespersons were recruited from 11 Japanese companies. A team-based walking intervention was held from October to December 2018 (for a total of 9 weeks), during which the walking step data were recorded by smartphone apps. Average walking steps of each participant during the intervention and the difference in walking steps between the initial and the final week were respectively used as dependent variables. The effects of team characteristics (ie, frequency of communication with team members and team size) and behavioral characteristics (ie, number of days with recorded steps on the apps) on the average walking steps, and the difference in walking steps between the initial and the final week were estimated using multiple and multilevel regression analyses. RESULTS Of the 416 participants, walking step data of 203 participants who completed postintervention assessments were included in the analyses. Multiple regression analysis of the average walking steps showed that the number of days with recorded steps was positively correlated with the log-transformed average walking steps (β=.01, <i>P</i>&lt;.001). Multilevel analysis of the average walking steps considering the company level estimated that the intraclass correlation coefficient was 37%. This means that belonging to the same company largely affected an individual’s average walking steps. Multiple regression analysis of the difference in walking steps showed that communication with team members once or twice a week correlated with preventing a decrease in walking steps from the initial to the final week (β=1539.4, <i>P</i>=.03), and being on a larger team correlated with a decrease in walking steps from the initial to the final week (β=–328.4, <i>P</i>=.01). CONCLUSIONS This study showed that the elements accounting for high average walking steps and those preventing the decrease in walking steps from the initial to the final week differed. Behavioral characteristics correlated positively with average walking steps. Team characteristics (ie, regular communication and a smaller team size) significantly correlated with preventing a decrease in walking steps.

Reaction Time, Strength, and Physical Activity in Women Aged 20–89 Years

2001 ◽  
Vol 9 (1) ◽  
pp. 32-42 ◽  
Author(s):  
Sandra K. Hunter ◽  
Martin W. Thompson ◽  
Roger D. Adams
Keyword(s):  
Physical Activity ◽  
Regression Analysis ◽  
Reaction Time ◽  
Lower Limb ◽  
Physical Activity Level ◽  
Predictor Variable ◽  
Community Dwelling ◽  
Rate Of Change ◽  
Activity Level ◽  
Knee Extensors

The purposes of this study were to investigate the rate of change with age of simple lower-limb reaction time (RT) in women and determine the relationship among RT. strength, and physical activity. Independent, community-dwelling women aged 20–89 years (N = 217) were assessed for knee-extension RT, maximal voluntary isometric contractions of the knee extensors (KE), and physical activity level. Trend analysis by ANOVA and regression analysis on RT were performed. Lower-limb RT increased and KE strength and physical activity level decreased linearly across age groups (p < .001). Active women had faster RTs than those of inactive women of the same age (p < .01). From multiple-regression analysis on RT, only 1 predictor variable. KE strength, emerged. Stronger women had faster RTs than those of weaker women (p < .0001), regardless of age and physical activity. Although RT was slower in older women, higher levels of strength and physical activity were associated with faster RTs in this group.

Self-Referent Thoughts in Exercise: The Self-Perception in Exercise Questionnaire

1997 ◽  
Vol 13 (3) ◽  
pp. 195-205 ◽  
Author(s):  
Marit Sorensen
Keyword(s):  
Physical Activity ◽  
Pilot Study ◽  
Physical Activity Level ◽  
Convergent Validity ◽  
English Language ◽  
Lifestyle Changes ◽  
Activity Level ◽  
Language Version ◽  
Social Comfort ◽  
And Gender

Adherence to lifestyle changes - beginning to exercise, for example - is assumed to be mediated by self-referent thoughts. This paper describes a pilot study and three studies conducted to develop and validate a questionnaire for adults to determine their self-perceptions related to health-oriented exercise. The pilot study identified items pertinent to the domains considered important in this context, and began the process of selecting items. Study 2 examined the factor structure, reduced the number of items, determined the internal consistency of the factors, and explored the discriminative validity of the questionnaire as to physical activity level and gender. Four factors with a total of 24 items were accepted, measuring mastery of exercise, body perception, social comfort/discomfort in the exercise setting, and perception of fitness. All subscales had acceptable internal consistencies. Preliminary validity was demonstrated by confirming hypothesized differences in scores as to gender, age, and physical activity level. The third study examined and demonstrated convergent validity with similar existing subscales. The fourth study examined an English-language version of the questionnaire, confirming the existence of the factors and providing preliminary psychometric evidence of the viability of the questionnaire.

Physical Activity Level and Motor Aptitude: Motor Domains and Identification Capacity of Brazilian Insufficiently Active Older Adults

2020 ◽  
Vol 13 ◽  
Author(s):  
Lucia Maria Andreis ◽  
Fernando de Aguiar Lemos ◽  
Lorenna Walesca de Lima Silva ◽  
Cassiana Luiza Pistorello Garcia ◽  
Gabrielli Veras ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Physical Activity Level ◽  
Area Under The Curve ◽  
The Elderly ◽  
Activity Level ◽  
General Motor ◽  
Body Scheme ◽  
Significant Difference ◽  
Global Coordination

Background: A decrease in the physical activity level in old age is common, which results in an increase in the number of falls and chronic conditions. Associated with that occurs the decline in motor skills as a result of the deficit in the interaction of cognitive and motor processes. Physical activity level can be associated differently with each motor domains. Objective: We analyzed the relationship between physical activity level and motor aptitude, and to identify which motor domains were most sensitive to detect insufficiently active level in older adults. Methods: Participated in the study 385 elderly people of both sexes. For the evaluation of the subjects were adopted the International Questionnaire on Physical Activity and the Motor Scale for Older Adults. Results: The majority of the elderly were active. In the comparison of motor aptitude between active and insufficiently active (IAC) elders a significant difference was found in the Global Coordination, Balance, Body Scheme and General Motor Aptitude. From the analysis of the area under the curve (AUC), we verified that these domains also were the ones that presented adequate diagnostic accuracy to identify IAC elderly. Besides that active elderly have presented the General Motor Aptitude classified within normality while the IAC below the normal. Conclusion: Our data suggest that IAC older adults present lower motor aptitude than the active elderly, especially in the domains of Global Coordination, Balance, Body Scheme and General Motor Aptitude, and that these domains were sensitive to indicate IAC older adults.

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