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Tran Lundgaard posted an update 3 weeks, 6 days ago
© 2020 The Authors.Background Physical activity and sleep are two time-dependent behaviors with important health implications. The amount of time people have to engage in these behaviors may vary based on their everyday work, social circumstances (e.g., parenthood), and social location (e.g., gender). Aims The current study aimed to explore the ways work, social circumstances, and social locations combine that lead to heterogeneity in the time-dependent health behaviors of physical activity and time spent in bed (i.e., sleep) among a young adult population. We drew upon two conceptual frameworks-Constrained Choices and an intersectionality perspective-and examined multiple work characteristics (e.g., number of jobs), social circumstances (e.g., household income), and social locations (e.g., U.S. nativity) relevant to young adulthood. Methods 2015-2016 data from a Minneapolis-St. Paul, U.S. cohort of 1830 young adults (25-36 years) were analyzed using conditional inference tree (CIT)-a data-driven approach which identifies populr long-term health. © 2020 The Authors.Body mass index (BMI) is generally used to classify adiposity. Despite the fact that the consequences of adiposity for chronic health accumulate and manifest over time, most population health research exploring the implications of high BMI measures only its recent intensity. Some studies have used retrospective measures involving maximum weight, and even fewer have used BMI at multiple time points to estimate cumulative exposure to adiposity. The goal of this study was to compare BMI exposure metrics that captured different dimensions of body mass – intensity, history, and duration – in models of health indicators linked with adiposity. We used self-reported BMI of young adults (ages 18 – 33 years, n = 8,608) across 11 waves of data from the National Longitudinal Survey of Youth 1997 to evaluate eight BMI exposure metrics most recent, maximum, mean, and median BMI, proportion of time with overweight/obesity, and excess BMI-years with overweight/obesity. see more We used these metrics in models of self-reported general health, chronic condition, and diabetes, and ascertained how most recent BMI performed when compared with other metrics that better capture the dynamics of BMI. The Akaike information criteria and Vuong tests were used for model comparison, and the strengths of associations were also compared. Most recent BMI was the best metric for explaining general health. Median BMI was best for explaining diabetes, with most recent BMI under-estimating the association by 13% relative to median BMI. For chronic condition, there was no clear best metric. We concluded that most recent BMI is useful for explaining health outcomes, though other metrics should also be given consideration, particularly for conditions that develop over time. Metrics that accounted for both intensity and history performed quite well, but the duration measures might be less useful. © 2020 The Authors.Human coronaviruses continue to pose a threat to human health. The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in December 2019 which causes coronavirus disease-2019 (COVID-19), an acute respiratory disease marked the third introduction of a highly pathogenic coronavirus into the human population in the twenty-first century. This recent emergence of a previously unknown coronavirus in China leads to huge impacts on humans globally. Covid-19 is a challenge to global public health. Here, we discuss the COVID-19 outbreak in a one health context, highlighting the need for the implementation of one health measures and practices to improve human health and reduce the emergence of pandemic viruses. © 2020 The Authors.Successful revival of a patient with cardiac arrest need vigilant effort on behalf of whole team but sometimes missing a small thing can create disaster. Here we present a case of 58 years old obese lady who was revived from a cardiac arrest secondary to septic shock. Obstruction due to proximal ureteric stone was relieved with JJ stent insertion. She required renal replacement therapy and invasive ventilation. Fever and inflammatory blood markers improved and she woke up after 6 days in intensive care unit (ICU). She developed another episode of sepsis but this time it was her shoulder that was hurting. Initially it was thought to be an iatrogenic skeletal injury during aggressive cardiopulmonary resuscitation (CPR) but radiographs came out to be normal. Magnetic resonance imaging (MRI) created more confusion by showing septic arthritis with proximal humeral osteomyelitis and gas formation. MRI suggested that it might be the sequelae of an intraosseous line insertion. All documented records were silent regarding the intraosseous line insertion. Resuscitation team was contacted and inquired. They confirmed the insertion of intraosseous line insertion during initial resuscitation which was removed after securing peripheral vascular access and before transferring the patient to ICU but they forgot to document. Her shoulder joint was washed out and debrided arthroscopically. She made a safe recovery without any other problem. Crown Copyright © 2020 Published by Elsevier Ltd.Background This case provides a rare case of Chlamydia Trachomatis presenting with ascites and granulomatous peritonitis. Case A 23-year old gravida 0 presented as a new patient to her gynecologist with complaints of irregular menses. A pelvic ultrasound showed ascites and the ovaries appeared heterogenous with irregular borders. A CA125 was 432. The patient was taken to the operating room by gynecologic oncology for a diagnostic laparoscopy. Biopsies were taken and final pathology resulted as “diffuse granulomatous inflammation.” Post-operatively, the etiology remained unknown. The patient was brought back to the office for more testing. She tested positive for Chlamydia and was diagnosed with pelvic inflammatory disease. Conclusion When encountering granulomatous pathology, Chlamydia Trachomatis is a rare etiology however it should be included on the differential diagnosis. © 2020 Published by Elsevier Inc.