Cross-national comparisons of college students' attitudes toward diet/fitness apps on smartphones

Cho, Jaehee; Lee, H. Erin; Quinlan, Margaret M.

doi:10.1080/07448481.2016.1270949

Cited by 15 publications

(23 citation statements)

References 48 publications

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“…Relying on self-report to gather hookah use data may raise concerns related to recall and response bias. Finally, similar to previous research on hookah smoking (Doran, Godfrey, & Myers, 2015; Jones & Cunningham-Williams, 2016), we defined current use as any use in past 30 days, which may limit the comparability of the study findings with other studies (Agaku, et al, 2014) that define current use differently.…”

Section: Discussionmentioning

confidence: 99%

Prevalence and harm perceptions of hookah smoking among U.S. adults, 2014–2015

Majeed

Sterling

Weaver

et al. 2017

Addictive Behaviors

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This study aimed to determine the prevalence and factors associated with hookah smoking and perceptions of harm among U.S. adults. Data were pooled from the Tobacco Products and Risk Perceptions Surveys conducted separately in the summers of 2014 and 2015, among a probability sample selected from an online research panel. Descriptive, logistic regression, and multinomial logistic regression analyses were conducted. In 2014/2015, prevalence of ever and past 30-day hookah smoking among U.S. adults were 15.8% (95% C.I.: 15.0%, 16.7%) and 1.5% (95% C.I.: 1.2%, 1.8%), respectively. Adults who used other alternative tobacco products had a higher odds of hookah smoking than those who did not. Adults with some college education (AOR, 1.53) and with a college degree or more (AOR, 2.21), those identified as non-Hispanic other (AOR, 1.38) were more likely to be ever hookah smokers. Being a young adult (AOR, 2.7), college-educated (AOR, 2.3), never smoker (AOR, 2.1), and an ever hookah smoker (AOR, 2.8) were associated with lower perceptions of harm. Findings suggest that young college students are at higher risk of smoking hookah and that hookah smoking is more prevalent among individuals who use other tobacco products, such as little cigars and cigarillos, traditional cigars, and e-cigarettes, indicating a distinct group of users of alternative tobacco products. Regarding potential harm of hookah, the study highlights a knowledge gap and misperception especially among young, college-educated, and never smokers. Public health interventions should target these subpopulations to provide them with accurate information on hookah smoking.

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Section: Discussionmentioning

confidence: 99%

Prevalence and harm perceptions of hookah smoking among U.S. adults, 2014–2015

Majeed

Sterling

Weaver

et al. 2017

Addictive Behaviors

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“…To test quality, risk of bias analysis of the 19 studies evaluated in the research showed that only three studies had a high score of 15 points or more out of 20 total [1,45,51], most studies (n = 14) had a mean score between 10 and 15 points and only two studies had a score below 10 points [52,53]. It should be noted that none of the studies analyzed carried out a calculation of the sampling required for the generalization of the results, which could be due to the fact that all the studies carried out a selection of the sample for convenience within a certain population.…”

Section: Analysis Of the Risk Of Bias In Studiesmentioning

confidence: 99%

“…Li, Liu, Ma and Zhang [46] sampled subjects over 25 years of age, while Huang and Ren [60] and Mohammadi and Isanejad [57] were at least 30 years old. Regarding the type of App evaluated, six studies evaluated the intention to use diet and fitness applications [30,44,51,52,55,59], another five studies evaluated sports information Apps [42,43,53,57,62], two studies measured the intention of fans to use the sports team app [1,45], health and fitness app [56,61], or fitness [58,60] and one study evaluated a social fitness-tracking app [63] and mHealth related to promote physical activity [54]. The most widely used theory for the design and use of the mobile sports app intent of use assessment instrument was TAM (n = 10).…”

Section: Summary Of Reported Intervention Outcomesmentioning

confidence: 99%

“…The most common method of analysis used was a content analysis by structural equations using the AMOS statistical package (n = 9) and the rest of the Partial Least Square studies. Seven studies also performed a correlation analysis of the data [54][55][56][57][58][59]62], and eight studies performed descriptive analysis in addition to content analysis [1,42,51,[55][56][57][58]61].…”

Section: Summary Of Reported Intervention Outcomesmentioning

confidence: 99%

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The Intention to Use Fitness and Physical Activity Apps: A Systematic Review

et al. 2020

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Recently the development of new technologies has produced an increase in the number of studies that try to evaluate consumer behavior towards the use of sports applications. The aim of this study is to perform a systematic review of the literature on the intention to use mobile applications (Apps) related to fitness and physical activity by consumers. This systematic review is a critical evaluation of the evidence from quantitative studies in the field of assessment of consumer behavior towards sport applications. A total of 13 studies are analyzed that propose models for evaluating the intentions to use fitness applications by sport consumers. The results revealed several key conclusions: (a) Technology Acceptance Model is the most widely used model; (b) the relationship between perceived utility and future intentions is the most analyzed; and (c) the most evaluated applications are diet/fitness. These findings could help technology managers to know the most important key elements to take into account in the development of future applications in sport organizations.

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“…Finally, the model has been influenced by other external variables, such as social norms [ 49 ], health awareness [ 54 ], commitment to or participation in sport [ 50 ], and entertainment [ 55 ], and sociodemographic variables, such as gender, age, or frequency of use [ 53 ]. In this way, research with TAM has determined that PEU and PU are influenced by different external variables.…”

Section: Literature Reviewmentioning

confidence: 99%

The Promotion of Physical Activity from Digital Services: Influence of E-Lifestyles on Intention to Use Fitness Apps

Fernández

Ruíz

Puyana

et al. 2020

IJERPH

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E-Lifestyles are individual forms of behavior in the digital environment that reflect the values, activities, interests, and opinions of consumers. Likewise, fitness Apps are considered technological tools for promoting physical activity online. Although there are studies related to sports lifestyles, it has not been analyzed yet how e-lifestyles are related to the use of fitness Apps. Based on this, this study represents a step to clarify how e-lifestyles influence different relationships with perceived ease of use, perceived usefulness, attitude, and intentions to use Fitness Apps. Therefore, the objective of the study was to analyze the relationship between the e-lifestyles of consumers of Boutique fitness centers and their relationship with the perceived ease of use, the perceived usefulness, the attitude, and the intention to use Fitness Apps. The sample was 591 customers (378 women and 213 men) of 25 Boutique fitness centers. An online questionnaire was used for data collection. Data was analyzed with confirmatory factor analysis and structural equation model. Findings provide an insight into the importance of e-lifestyles in the intention of using fitness Apps and therefore in promoting physical activity through online fitness services. The results showed positive relationships between e-lifestyles, perceived ease of use, perceived usefulness and attitude toward fitness Apps. Finally, the attitude toward fitness Apps offered a very high predictive value on use intention. This study provides a better understanding of consumer´s intention to use fitness Apps. The conclusions and recommendations for sports managers of fitness centers highlight the importance of e-lifestyles as a predecessor for the use of fitness Apps.

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Cross-national comparisons of college students' attitudes toward diet/fitness apps on smartphones

Abstract: Findings from the cross-national comparisons were helpful for thoroughly understanding the contextualized mechanisms involved in the adoption of diet/fitness apps.

Cited by 15 publications

References 48 publications

Prevalence and harm perceptions of hookah smoking among U.S. adults, 2014–2015

Prevalence and harm perceptions of hookah smoking among U.S. adults, 2014–2015

The Intention to Use Fitness and Physical Activity Apps: A Systematic Review

The Promotion of Physical Activity from Digital Services: Influence of E-Lifestyles on Intention to Use Fitness Apps

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