Fire Eater’s Lung: Retrospective Analysis of 123 Cases Reported to a National Poison Center.

Fire Eater’s Lung: Retrospective Analysis of 123 Cases Reported to a National Poison Center.

Respiration. 2013 Jun 21;
Franzen D, Kohler M, Degrandi C, Kullak-Ublick GA, Ceschi A

Background: Fire eater’s lung (FEL) is a distinct form of acute chemical toxic pneumonitis, which is caused by aspiration of flammable petrochemical derivatives used by street performers for ‘fire eating’. The optimal management of this condition has not yet been determined. Objective: The aim of this study was to investigate patient characteristics, clinical features, treatment, and outcome of FEL. Methods: A single-center retrospective review of consecutive cases of FEL in children and adults reported to a national poison center (the Swiss Toxicological Information Center) between 1995 and 2012. Results: 123 cases (83.7% males, mean age 21.9 years) were included. The most frequently reported symptom was cough (50.4%), followed by chest pain (45.5%), and fever (35.8%). Dyspnea was reported by 23.6%. Cough (p = 0.002) and chest pain (p = 0.02) were significantly more prevalent in subjects reporting to have aspirated the fuel compared to those who have swallowed it or who did not perceive poison exposure. A pulmonary infiltrate was detected in 83% of the cases in whom chest X-ray was performed. Overall, 22% were treated with an antibiotic agent for a mean duration of 10.4 days. Corticosteroids were administered in 4.9%. All showed complete recovery irrespective of the therapeutic management. Conclusion: The combination of intense pleuritic chest pain, cough, dyspnea, and fever, or any of these symptoms after ‘fire eating’ or erroneous swallowing of a petroleum distillate should alert the clinician to the diagnosis of FEL. Early antibiotic treatment of severe cases seems justified, considering that clinical, laboratory, and radiologic findings of FEL are overlapping with bacterial superinfection. HubMed – eating

Development of a field-friendly automated dietary assessment tool and nutrient database for India.

Br J Nutr. 2013 Jun 25; 1-12
Daniel CR, Kapur K, McAdams MJ, Dixit-Joshi S, Devasenapathy N, Shetty H, Hariharan S, George PS, Mathew A, Sinha R

Studies of diet and disease risk in India and among other Asian-Indian populations are hindered by the need for a comprehensive dietary assessment tool to capture data on the wide variety of food and nutrient intakes across different regions and ethnic groups. The nutritional component of the India Health Study, a multicentre pilot cohort study, included 3908 men and women, aged 35-69 years, residing in three regions of India (New Delhi in the north, Mumbai in the west and Trivandrum in the south). We developed a computer-based, interviewer-administered dietary assessment software known as the ‘NINA-DISH (New Interactive Nutrition Assistant – Diet in India Study of Health)’, which consisted of four sections: (1) a diet history questionnaire with defined questions on frequency and portion size; (2) an open-ended section for each mealtime; (3) a food-preparer questionnaire; (4) a 24 h dietary recall. Using the preferred meal-based approach, frequency of intake and portion size were recorded and linked to a nutrient database that we developed and modified from a set of existing international databases containing data on Indian foods and recipes. The NINA-DISH software was designed to be easily adaptable and was well accepted by the interviewers and participants in the field. A predominant three-meal eating pattern emerged; however, patterns in the number of foods reported and the primary contributors to macro- and micronutrient intakes differed by region and demographic factors. The newly developed NINA-DISH software provides a much-needed tool for measuring diet and nutrient profiles across the diverse populations of India with the potential for application in other South Asian populations living throughout the world. HubMed – eating

Collection and Visualization of Dietary Behavior and Reasons for Eating Using Twitter.

J Med Internet Res. 2013; 15(6): e125
Hingle M, Yoon D, Fowler J, Kobourov S, Schneider ML, Falk D, Burd R

Increasing an individual’s awareness and understanding of their dietary habits and reasons for eating may help facilitate positive dietary changes. Mobile technologies allow individuals to record diet-related behavior in real time from any location; however, the most popular software applications lack empirical evidence supporting their efficacy as health promotion tools.The purpose of this study was to test the feasibility and acceptability of a popular social media software application (Twitter) to capture young adults’ dietary behavior and reasons for eating. A secondary aim was to visualize data from Twitter using a novel analytic tool designed to help identify relationships among dietary behaviors, reasons for eating, and contextual factors.Participants were trained to record all food and beverages consumed over 3 consecutive days (2 weekdays and 1 weekend day) using their mobile device’s native Twitter application. A list of 24 hashtags (#) representing food groups and reasons for eating were provided to participants to guide reporting (eg, #protein, #mood). Participants were encouraged to annotate hashtags with contextual information using photos, text, and links. User experience was assessed through a combination of email reports of technical challenges and a 9-item exit survey. Participant data were captured from the public Twitter stream, and frequency of hashtag occurrence and co-occurrence were determined. Contextual data were further parsed and qualitatively analyzed. A frequency matrix was constructed to identify food and behavior hashtags that co-occurred. These relationships were visualized using GMap algorithmic mapping software.A total of 50 adults completed the study. In all, 773 tweets including 2862 hashtags (1756 foods and 1106 reasons for eating) were reported. Frequently reported food groups were #grains (n=365 tweets), #dairy (n=221), and #protein (n=307). The most frequently cited reasons for eating were #social (activity) (n=122), #taste (n=146), and #convenience (n=173). Participants used a combination of study-provided hash tags and their own hash tags to describe behavior. Most rated Twitter as easy to use for the purpose of reporting diet-related behavior. “Maps” of hash tag occurrences and co-occurrences were developed that suggested time-varying diet and behavior patterns.Twitter combined with an analytical software tool provides a method for capturing real-time food consumption and diet-related behavior. Data visualization may provide a method to identify relationships between dietary and behavioral factors. These findings will inform the design of a study exploring the use of social media and data visualization to identify relationships between food consumption, reasons for engaging in specific food-related behaviors, relevant contextual factors, and weight and health statuses in diverse populations. HubMed – eating

Prevalence and risk factors of Helicobacter pylori infection in Chinese maritime workers.

Ann Hum Biol. 2013 Jun 25;
Hu D, Shao J, Wang L, Zheng H, Xu Y, Song G, Liu Q

Abstract Background: Helicobacter pylori infection is very common worldwide. Aim: To evaluate the prevalence and identify the risk factors for Helicobacter pylori infection in Chinese maritime workers. Subjects and methods: Between March 2010 and October 2010, 3995 subjects were selected in the Hospital of Dalian Port. The presence of Helicobacter pylori infection was confirmed using laboratory tests (serum IgG anti-Helicobacter pylori antibodies) and background information, family history, lifestyle and eating habits were collected using questionnaires. Results: The prevalence of Helicobacter pylori infection was 44.9% in these Chinese maritime workers. Prevalence of Helicobacter pylori infection was associated with family income, living space, family history of gastrointestinal diseases, smoking, drinking tea, raw vegetables consumption, spicy food, pickle food, dining outside, no regular meal and dish sharing. Further analysis with multivariate logistic regression analysis indicated that raw vegetables consumption, pickle food consumption, family income and family history of gastrointestinal diseases were independent predictors for Helicobacter pylori infection. No association was found between infection and gender, marital status, education, alcohol consumption and tap water consumption. Conclusion: Helicobacter pylori infection is associated with raw vegetables consumption, pickle food consumption, family income and family history of gastrointestinal disease among Chinese maritime workers. HubMed – eating

Demographic and Work-Related Correlates of Job Burnout in Professional Eating Disorder Treatment Providers.

Psychotherapy (Chic). 2013 Jun 24;
Warren CS, Schafer KJ, Crowley ME, Olivardia R

Patients with eating disorders present unique challenges to treatment providers that may contribute to job burnout. This study examined demographic and work-related correlates of three primary components of burnout (i.e., emotional exhaustion, cynicism, and lack of personal accomplishment) in a sample of 296 professional eating disorder treatment providers. Participants completed the Maslach Burnout Inventory-Human Services Survey (MBI-HSS; Maslach, Jackson, & Leiter, 1996), demographics, and a questionnaire developed by the authors measuring eating disorder-specific factors theorized to be relevant to burnout. Overall, participants reported comparable levels of emotional exhaustion but significantly less cynicism and lack of personal accomplishment relative to established norms for mental health care providers on the MBI-HSS. Analyses of variance and backward regression analyses suggested that higher levels of burnout were associated with being younger, female, and overweight; working longer hours; having less experience; and experiencing a patient’s death. Conversely, working in a private practice setting, having children, and having a personal history of an eating disorder were associated with lower burnout levels. Furthermore, over 45% of participants reported that treatment resistance, ego-syntonicity, high relapse rates, worry about patient survival, emotional drain, lack of appropriate financial reimbursement, and extra hours spent working contributed to feelings burned out somewhat to very much. Overall, these data suggest that emotional exhaustion is the most common aspect of burnout experienced by eating disorder treatment providers and highlight some of the key correlates of burnout for this population, which can be used to inform prevention and intervention efforts. (PsycINFO Database Record (c) 2013 APA, all rights reserved). HubMed – eating