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Skip search results from other journals and go to results- 2 JMIR Public Health and Surveillance
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In all statistical analyses, a P value of
This study was conducted in strict adherence to the ethical standards set forth in the Declaration of Helsinki. It also followed the ethical protocols approved by the Ethics Committee of Universidad de Las Américas, under code 2023-EXC-004. The research team was trained to ensure that all aspects of the study upheld the principles of participant anonymity and voluntary participation.
J Med Internet Res 2025;27:e60630
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Logistic models included odds ratios (ORs) and 95% CI while linear regression models included point estimates and P-values.
There were a total of 1734 mothers with children under the age of 2 (Table 1). Most mothers had a primary school education, while few had tertiary education. Being unemployed or a housewife were the most common occupations. Other occupations included small trader, civil servant, and private employee. The mean total annual household income was €131.05 (US $160.04).
JMIR Public Health Surveill 2021;7(1):e19349
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A paired t test analysis (Table 3) revealed participants completed the course an average of 12 min and 40 seconds faster when riding the e MTB as opposed to the conventional mountain bike (P
Demographics (N=33).
Mountain biking experience (N=33).
a N=31.
Riding and exercise response results.
a MTB: mountain bike
be MTB: electric pedal-assist mountain bike
Riding and exercise response results.
a MTB: mountain bike
be MTB: electric pedal-assist mountain bike
c Chi-Square: MTB vs e MTB.
d Not applicable.
JMIR Form Res 2019;3(3):e13643
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Paired t test analysis revealed that participants believed that a conventional bicycle was more likely than an e-bike to benefit their physical health (P=.002) and save them money (P=.005). Conversely, participants believed that the e-bike was more likely than a conventional bicycle to save them time (P
Participants also generally felt that improving the environment, improving their physical health, improving their mental or emotional health, saving money, and saving time were “extremely good” (Table 4).
JMIR Public Health Surveill 2018;4(4):e10461
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In multivariate regression analyses, engagement with the app(s) (P
Summary of participant responses to engagement questions.
a All engagement questions in the survey were preceded by the following statement: considering the mental and emotional health app(s) that you have used in the past 6 months...
Regression to predict theory.
a_cons: constant term.
Regression to predict behavior change.
a_cons: constant term.
JMIR Ment Health 2017;4(4):e45
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App engagement (P
Responses to physical activity behavior items (N=207). A composite behavior change variable was computed by summing these variables, Cronbach alpha=.854.
a All theory questions in the survey were preceded by this statement: “Now think about the physical activity/exercise apps that you have used in the past 6 months. Using the apps has increased”:
Regression analysis and behavior change theory (N=207).
Regression analysis and physical activity (N=207).
JMIR Mhealth Uhealth 2017;5(8):e114
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Controlling Your “App”etite: How Diet and Nutrition-Related Mobile Apps Lead to Behavior Change
Specifically, app engagement (P
Several predictors were also positively associated with diet-related behavior change (Table 6). Theory (P
Figure 1 summarizes significant relationships between theory, behavior, and other predictors. Arrows indicate the hypothetical direction of the relationships and asterisks indicate the level of statistical significance. In the model, the price of the app and the level of participant engagement affect theory, which in turn drives behavior change.
JMIR Mhealth Uhealth 2017;5(7):e95
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There's an App for That: Content Analysis of Paid Health and Fitness Apps
Apps that cost > US $1 ($0.99) were significantly more likely to be coded as intending to promote health or prevent disease (P < .001). Higher priced apps were also more likely to be coded as credible or trustworthy at being able to promote health or prevent disease (P < .001) and they were more likely to be coded as recommendable to a client for the purpose of improving health or preventing disease (P < .001).
J Med Internet Res 2012;14(3):e72
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