Insights into Non-Exercise Physical Activity on Control of Body Mass: A Review with Practical Recommendations

Sum of Skinfold-Corrected Girths Correlates with Resting Energy Expenditure: Development of the NRGCO Equation

Our study aimed to validate existing equations and develop the new NRGCO equation to estimate resting energy expenditure (REE) in the Colombian population with moderate-to-high physical activity levels. Upon satisfying the inclusion criteria, a total of 86 (43F, 43M) healthy adults (mean [SD]: 27.5 [7.7] years; 67.0 [13.8] kg) were evaluated for anthropometric variables and REE by indirect calorimetry using wearable gas analyzers (COSMED K4 and K5). Significant positive correlations with REE were found for body mass (r = 0.65), body mass-to-waist (r = 0.58), arm flexed and tensed girth (r = 0.66), corrected thigh girth (r = 0.56), corrected calf girth (r = 0.61), and sum of breadths (∑3D, r = 0.59). As a novelty, this is the first time a significant correlation between REE and the sum of corrected girths (∑3CG, r = 0.63) is reported. Although existing equations such as Harris-Benedict (r = 0.63), Mifflin-St. Jeor (r = 0.67), and WHO (r = 0.64) showed moderate-to-high correlations with REE, the Bland-Altman analysis revealed significant bias (p < 0.05), indicating that these equations may not be valid for the Colombian population. Thus, participants were randomly distributed into either the equation development group (EDG, n = 71) or the validation group (VG, n = 15). A new model was created using body mass, sum of skinfolds (∑8S), corrected thigh, corrected calf, and age as predictors (r = 0.755, R2 = 0.570, RMSE = 268.41 kcal). The new NRGCO equation to estimate REE (kcal) is: 386.256 + (24.309 × BM) - (2.402 × ∑8S) - (21.346 × Corrected Thigh) + (38.629 × Corrected Calf) - (7.417 × Age). Additionally, a simpler model was identified through Bayesian analysis, including only body mass and ∑8S (r = 0.724, R2 = 0.525, RMSE = 282.16 kcal). Although external validation is needed, our validation resulted in a moderate correlation and concordance (bias = 91.5 kcal) between measured and estimated REE values using the new NRGCO equation.

Physical fitness decline and career paths: a longitudinal study of medical undergraduates

INTRODUCTION

Exercise enhances one's health and competitiveness. A strong physical fitness status can pave the way for a promising future. This study presents the time-based trends in physical fitness indicators-including height, weight, BMI, lung capacity, dash, long-distance running, and standing long jump-among medical undergraduates during their university years. Additionally, we analyzed the impact of students' physical fitness on their career paths.

METHOD

We conducted a retrospective database study by collecting physical fitness test data and career paths information for 634 medical students from a university in southwestern China. These students graduated in 2022. The career paths included pursuits in further studies, employment, and unemployment. To detect differences in these aspects, we used the t-test and Chi-square test.

RESULTS

Our study indicates a significant declining trend in the physical fitness of medical students during their university years. The changes observed between the first and fourth tests are as follows: Weight (kg): 58.52 ± 10.48 to 60.73 ± 12.07, P < 0.00 BMI (kg/m^2): 20.79 ± 2.74 to 21.24 ± 3.06, P < 0.00 50-m dash (s): 8.91 ± 0.99 to 9.25 ± 1.11, P < 0.00 Standing long jump (cm): 187.74 ± 30.98 to 182.59 ± 32.25, P < 0.00 800-m run for females (min): 3.84 ± 0.47 to 4.48 ± 0.85, P < 0.00 1000-m run for males (min): 3.98 ± 0.63 to 4.62 ± 0.87, P < 0.00 Sit-ups for females (count): 30.39 ± 7.5 to 29.03 ± 8.82, P < 0.00 Upon analyzing the correlation between changes in physical fitness and career paths, students with stable or decreased BMI had better post-graduation outcomes compared to students with increased BMI.

CONCLUSIONS

Medical students show a declining trend in physical fitness during their undergraduate years. A good physical health status is beneficial for achieving better career paths. Medical students should place greater emphasis on physical exercise during their time in school.

Enhancing Behavioural Changes: A Narrative Review on the Effectiveness of a Multifactorial APP-Based Intervention Integrating Physical Activity

The rapid evolution of technologies is a key innovation in the organisation and management of physical activities (PA) and sports. The increase in benefits and opportunities related to the adoption of technologies for both the promotion of a healthy lifestyle and the management of chronic diseases is evident. In the field of telehealth, these devices provide personalised recommendations, workout monitoring and injury prevention. The study aimed to provide an overview of the landscape of technology application to PA organised to promote active lifestyles and improve chronic disease management. This review identified specific areas of focus for the selection of articles: the utilisation of mobile APPs and technological devices for enhancing weight loss, improving cardiovascular health, managing diabetes and cancer and preventing osteoporosis and cognitive decline. A multifactorial intervention delivered via mobile APPs, which integrates PA while managing diet or promoting social interaction, is unquestionably more effective than a singular intervention. The main finding related to promoting PA and a healthy lifestyle through app usage is associated with "behaviour change techniques". Even when individuals stop using the APP, they often maintain the structured or suggested lifestyle habits initially provided by the APP. Various concerns regarding the excessive use of APPs need to be addressed.