Objective: To estimate the effect of telephonic wellness coaching on weight loss in a commercially insured population.
Study Design: Pre-post evaluation design.
Methods: Self-reported weight was obtained from 2 annual health assessment questionnaires administered during 2008 and 2010. Baseline (T1) information from these questionnaires was used to identify overweight/obese individuals and to determine targets for a 4-call wellness coaching program. Overweight/obese individuals identified at T1 were classified into following groups: (1) targeted for wellness coaching (N = 1448, including 1050 participants and 398 nonparticipants); (2) not targeted for wellness coaching, but targeted for other telephonic wellness care management (WCM) programs (N = 1270); (3) not targeted for any WCM programs (N = 7586). Weight reported on questionnaires a year later (T2) was used to calculate weight change between T1 and T2. Paired t-tests were used to detect significant weight changes over time. Multivariable linear regressions were used to compare weight changes between the groups. Stratified analysis was conducted to determine the effectiveness of telephonic wellness coaching for subgroups based on participants' selected health goals, intensity of the intervention received and initial stage of change.
Results: The group targeted for wellness coaching reported an average weight change of -0.44 kg (95% confidence interval [CI], -0.76 to -0.16) at T2, significantly more weight loss than reported by the group not targeted for any WCM programs. Participants who started in preparation stage and completed the program reported weight change of -1.43 kg (95% CI, -2.17 to -0.68), highest among program participants.
Conclusions: Small weight loss was observed for obese/individuals targeted for telephonic wellness coaching.
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J Integr Neurosci
January 2025
Sports, Exercise and Brain Sciences Laboratory, Sports Coaching College, Beijing Sport University, 100084 Beijing, China.
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Department of Coaching Education, Marmara University Faculty of Sport Sciences, 34815 Istanbul, Turkey.
This study evaluated the validity and reliability of the TecnoBody D-Wall system in assessing joint range of motion (ROM) during overhead squat movements in healthy individuals, using Kinovea as a reference tool for data comparison. A total of 29 participants (16 males, 13 females) with a mean age of 28.41 ± 6.
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December 2024
Department of Physical Activity Sciences, Faculty of Education Sciences, Universidad Católica del Maule, Talca 3530000, Chile.
Objectives: This systematic review with meta-analysis aimed to evaluate the available body of published peer-reviewed studies on the effects of exergaming (EXG) compared to the control group (CG) on morphological variables, biochemical parameters, and blood pressure in children and adolescents with overweight/obesity.
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December 2024
Department of Physical Education, Sport and Recreation, Universidad de La Frontera, Temuco 4811230, Chile.
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Facultad de Deportes, Universidad Autónoma de Baja California, Mexicali 21100, Mexico.
Based on the theory of planned behavior, the objective was to test a theoretical model that explains the intention to continue practicing sports among adolescents currently involved in sports practice in Mexicali based on factors that generate perceived social pressure to be perfect (perceived descriptive norm) and that lead to internal factors of perceived control (perceived competence, general self-concept, and enjoyment). A battery of questionnaires that measured the study variables was applied to 195 adolescent athletes of both sexes. The causal model with observed variables rejected part of the hypothesis since the athletes' perception that their parents impose high performance expectations on them and that they criticize them when these expectations are not achieved was not associated with the athletes' perceived competence.
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