Objective: In the present study the empathy-altruism hypothesis was studied. According to empathy-altruism hypothesis, altruistic acts stimulated by empathy, are directed to improve another person's welfare. Purpose of this study was to investigate the relationship of the emotional empathy and altruism and to determine the predictive power of emotional empathy for altruism among health professionals. Methods: Correlational and cross-sectional research designs were used for the present study. Sample size was estimated through G*power and 200 health professionals (100 MBBS and 100 BDS) were taken from different government and private hospitals and health institutes through purposive sampling technique. Age range of participants was 24-35 years (M=31.45, SD=3.39). Bio data form, Multidimensional Emotional Empathy Scale and Helping attitude scale were used to get demographic information and to assess the emotional empathy and altruistic behaviour respectively of health professionals. Data were analysed by using SPSS 23. Results: Results of the present study showed strong and positive relationship between emotional empathy and altruism among health professionals. Hierarchical regression analysis was run to find the predictive power of emotional empathy for altruistic behaviour of the health professionals. After controlling age, gender, level of education and marital status, emotional empathy emerged as the strong predictor for altruistic behaviour among health professional. Emotional empathy accounted 31.3 % variance for altruistic behaviour. This study can create awareness about the role of health professionals and their behaviour towards patients. Health professional’s emotional empathy is the compulsory factors for defining their attitude towards their patients. Conclusion Emotional empathy plays an important role in the altruistic attributes of health professionals. Some training programs must be arranged to enhance their emotional empathy

INTRODUCTIONMetabolic heterogeneity among obese individuals is thought to translate into variations in cardiovascular risk. Identifying obese people with an unfavourable metabolic profile may allow preventive strategies to be targeted at high-risk groups. This study aimed to identify clinical, biochemical and immunological differences between insulin-sensitive and insulin-resistant obese subgroups, to understand the population-specific pathophysiological basis of the adverse cardiovascular risk profile in the latter group.

METHODSCardiovascular risk indicators, including anthropometric parameters, blood pressure, acanthosis nigricans area, and related biochemical, endocrine and inflammatory markers, were determined in 255 healthy South Asian volunteers aged 18-45 years, with a 2:1 ratio of obese/overweight to normal-weight individuals. Lifetime atherosclerotic cardiovascular disease (ASCVD) risk was also calculated.

RESULTSBody mass index (BMI) and insulin sensitivity-based tertiles independently showed incremental trends in waist-hip ratio, skinfold thickness, acanthosis nigricans area, blood pressure, serum lipids, hepatic enzymes, adipokines, inflammatory markers and ten-year ASCVD risk. The anthropometric, biochemical and inflammatory parameters of obese insulin-sensitive and obese insulin-resistant groups differed significantly. Extreme group analysis after excluding the middle tertiles of both insulin resistance and BMI also showed significant difference in anthropometric indicators of cardiovascular risk and estimated lifetime ASCVD risk between the two obese subgroups.

CONCLUSIONObese insulin-sensitive individuals had a favourable metabolic profile compared to the obese insulin-resistant group. The most consistent discriminative factor between these phenotypic classes was anthropometric parameters, which underscores the importance of clinical parameters as cardiovascular risk indicators in obesity.

COVID-19/virology* ; Cities ; Environmental Monitoring ; Genome, Viral ; Humans ; Infection Control/methods* ; Pakistan ; RNA, Viral/genetics* ; SARS-CoV-2/genetics* ; Sewage/virology*