1,721,026 research outputs found
«Venne a la porta, e con una verghetta / l’aperse»: l’arma angelica e la conversio spirituale nella Commedia
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Effectiveness of individual counselling and activity monitors to promote physical activity among university students
Full text linkBACKGROUND: Physical activity promotion among university students is important to contribute to a lifelong healthy lifestyle. Nevertheless, research in the field is still limited in quantity, quality and generalizability. This study aimed at testing the effectiveness of two strategies for promoting physical activity among university students.
METHOD: Thirty-three students were recruited and randomly assigned to three groups. The first group attended individual counselling sessions via videoconferencing calls, the second used wearable physical activity monitors and the third served as control. Interventions lasted 12 weeks. Measures of physical activity (self-reported and recorded by ActiGraph-GT3X+ monitors) and the stages of change of participants were collected at baseline (t0), immediately after the 12-week intervention (t1), and after a 3-month follow-up (t2).
RESULTS: Analyses revealed that students in the individual counselling group increased self-reported energy expenditure between t0 and t1 and maintained this improvement at t2; progression through stages of changes was observed in the same group at t1, followed by some relapses at t2. No significant differences were found neither in the group of students who used the physical activity monitors nor in the control group.
CONCLUSIONS: Individual counselling program was effective for promoting physical activity among university students, whereas the autonomous use of physical activity monitors had no effects. However, the low participation rate in the study suggests to consider carefully the difficulties in motivating this population and in finding low time-consuming strategies to incentive participation
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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