A Cross-Sectional Study on Sedentary Lifestyle Among Budding Doctors: Silent Killer?

Background Internship is the time period when young doctors learn to balance between professional and personal lives. If they have good awareness and practice of any kind of physical activity during this period, it will help them to continue it forward. This enables them to educate and inspire people and patients around them. The main objectives of this study were to assess patterns of physical activity among medical interns and to understand the factors preventing physical activity among them. Methodology This cross-sectional survey was carried out among interns of a tertiary care hospital in western Maharashtra from July 2022 to September 2022. Ethical clearance was obtained before starting data collection. The survey was administered to those who fulfilled the inclusion criteria. The questionnaire was adopted from the Global Physical Activity Questionnaire. The data collected were entered into Microsoft Excel (Microsoft Corporation, Redmond, WA) and analysis was done using MedCalc v.18.2.1 (MedCalc Software Ltd, Ostend, Belgium). Results A total of 220 interns were enrolled in the survey, of which 13 were removed due to incomplete data and 28 interns did not participate in the study. Finally, 179 interns were included for analysis in the study. The response rate was 87.27%. The mean age of participants was 23.12 years. The study population consisted of 72 (40.22%) males and 107 (59.78%) females. Among participants, 33 interns (18.44%) were involved in vigorous activity during work, and 108 interns (60.34%) were involved in moderate physical activity during work. The median time of a sedentary lifestyle was 300 minutes per day and was more common among males. Cumulatively busy working schedules and exam preparation were the important reasons for reduced physical activity. Conclusion There is a gap in the practice of physical activity among interns. A sedentary lifestyle was more prevalent among male interns than in female interns. The main constraints were demanding working hours and the pressure of competitive exams. Medical students will become doctors in the future who can advise their patients on healthy lifestyle habits. We recommend that it is necessary to promote physical activity in medical schools and to reinforce the importance of physical exercise in the medical curriculum.

Using DNA to predict educational trajectories in early adulthood

At the end of compulsory schooling, young adults decide on educational and occupational trajectories that impact their subsequent employability, health and even life expectancy. To understand the antecedents to these decisions, we follow a new approach that considers genetic contributions, which have largely been ignored before. Using genomewide polygenic scores (EA3) from the most recent genomewide association study of years of education in 1.1 million individuals, we tested for genetic influence on early adult decisions in a United Kingdom-representative sample of 5,839 at 18 years of age. EA3 significantly predicted educational trajectories in early adulthood (Nagelkerke R2 = 10%), χ2(4) = 571.77, p < .001, indicating that young adults partly adapt their aspirations to their genetic propensities-a concept known as gene-environment correlation. Compared to attending university, a 1 standard deviation increase in EA3 was associated on average with a 51% reduction in the odds of pursuing full-time employment (OR = .47; 95% CI [.43, .51]); an apprenticeship (OR = .49; 95% CI [.45, .54]); or not going in education, employment, or training (OR = .50; 95% CI [.41, .60]). EA3 associations were attenuated when controlling for previous academic achievement and family socioeconomic status. Overall this research illustrates how DNA-based predictions offer novel opportunities for studying the sociodevelopmental structures of life outcomes. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

[Not Available]

Recently, the phenomenon of young people not in education, employment or training (NEET) has come to the fore due to the risks associated to this situation. The contribution of this paper is in its analysis of this population's composition, dynamics, poverty patterns, individual and family characteristics, as well as projections for 2030. In addition, we propose a classification for NEET's that could be used for the design of public policies and that was used to identify that this population will tend to decreased due to the proportion of women who study and join the labor force and that, in the future, the unemployed will outnumber other groups.