Obesity is increasing at an alarming rate throughout the world and has become a global problem. The World Health Organisation (WHO) has declared overweight as one of the top 10 health risks in the world and one of the top five in developed nations (WHO, 2002) In many developing countries, with increasing urbanization, mechanization of jobs and transportation, availability of processed and fast foods, and dependence on television for leisure, people are fast adopting less physically active lifestyles and consuming more “energy-dense, nutrient-poor” diets .The objective of the study was to investigate the prevalence of overweight issues and obesity by recording the body mass index (BMI) and explore the dietary habits, physical activities (PAs), and lifestyles of females between 20-40 years of age. Questionnaire was used in this study for data collection about general information, body mass index, dietary habits and Lifestyle of 20 female subjects. It was observed that 3 females were underweight, 9 were normal weight and 8 were overweight and obese. From the results of the study, we can conclude that the incidence of being overweight and obese is increasing .The awareness about Physical activities healthy diet/lifestyle, and consequences of overweight and obesity on their health and profession must be increased among the young females to avoid future complications.
Key words: Body Mass index, lifestyle, dietary habits, Physical activity
Introduction: Hypertension, Diabetes mellitus and depression are among the group of the most common chronic diseases worldwide, and according to numerous studies they are oftentimes associated. Patients suffering from lifestyle diseases may have increased depression levels in relation with long-term management of these diseases. This study was conducted to determine the prevalence of depression among diabetes mellitus and hypertensive patients. Materials and methods: A cross-sectional research design was adopted for the study. The study was conducted in a tertiary care hospital. 100 subjects were included in study. Patients were given preformed proforma to fill the data regarding socio-demographic profile and status of diabetes mellitus and hypertension. Major depression inventory tool was used to assess depression. Results: Study shows out of 100 subjects 44 subjects were having depression and 56 subjects were nondepressed. 37.5 % of diabetic subjects were having depression. 43.75% of hypertensive subjects were having depression. 60% of subjects those who were suffering from hypertension and diabetes both were depressed. Conclusion: The prevalence of depression is high in patients with diabetes and has a considerable impact on the consequences of diabetes and quality of life too.
Introduction: Stress affects different cardiovascular responses and trigger arrhythmias through Autonomic Nervous System (ANS) activation. Medical students generally tend to reduce their sleep, in order to adjust and cope with their stressful and demanding workload. Aim: To assess the correlation of QT intervals variables with quality of sleep and stress among young adult medical students. Materials and Methods: This cross-sectional study was undertaken in All India Institute of Medical Sciences, Mangalagiri, Andhra Pradesh, India, among 60 medical students taken as internal match for collection of data at the beginning of the academic year (unstressed) and three weeks before the term-end examination (stressed) during October 2019 to March 2020. Two validated questionnaires namely, Pittsburgh Sleep Quality Index (PSQI) to assess sleep quality and the Medical Student Stress Questionnaire (MSSQ) to measure the stressors and the intensity of stress were used among the medical students. Short-term Electrocardiogram (ECG) recording was used to measure QT interval variables. Descriptive statistics and paired t-test were applied using Statistical Package for the Social Sciences (SPSS) version 19.0. The p≤0.05 was considered significant. Results: Academic Related Stress (ARS) showed a highly significant increase during the stressed conditions (p<0.001). The mean global PSQI score of 6.03±2.76 was significantly higher (p-value <0.001; PSQI >5) during the stressed conditions indicating poor quality of sleep, when compared to 4.50±2.87 recorded in unstressed conditions. In stressed conditions, QT interval measures had moderate correlation with ARS. Quality of sleep had negative correlations with all QT interval measures except for corrected QT interval (QTc) and QTCmin. Conclusion: Stress affects the sleep quality and induced QT changes which reflected difference in variability between ‘stressed’ and ‘unstressed’ times. However, there is no significant impact on QT duration among the young adult medical students.
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