2,196 research outputs found

    Contribution of street food to dietary intake of habitual urban consumers: a cross-sectional study in Kampala city, Uganda

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    Background: Street food has continued to be a popular food source in the urban settings of developing countries and is proving to be a vital urban dietary source. However, its dietary contribution among urban populations is yet to be comprehensively understood. Aim: To assess how street food contributes to the dietary intake of habitual street food consumers. Methods: We conducted a community-based cross-sectional study among habitual street food consumers in Kampala city. We defined habitual intake as consumption of a serving of any street food for ≥2 days/week regardless of the food group and number of times it was consumed in a particular day. Questionnaires were used to capture quantitative data on sociodemographic characteristics, anthropometry, 24-hour diet intake and 2-month street food consumption frequency. The Nutritics® diet analysis software version 4.3 and STATA version 13.0 were used for nutrient and statistical analyses respectively. Results: Street food contributed considerably to the daily intake of fat (49.1%), sodium (38.4%) and calcium (36.5%) and least towards the daily intake of vitamin A (11.3%). The majority of consumers opted for street food at breakfast (50%) whereas lunch and snacks featured the least for overall street food inclusion (all 20%). Overall, men demonstrated more dietary intake and inclusion at meals from street food than women. Conclusions: This study indicates a significant contribution of street food for urban consumers but men derive more benefit than women in terms of nutrient intake and inclusion of street food in meals

    LIMS Instrument Package (LIP) balloon experiment: Nimbus 7 satellite correlative temperature, ozone, water vapor, and nitric acid measurements

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    The Limb Infrared Monitor of the Stratosphere (LIMS) LIP balloon experiment was used to obtain correlative temperature, ozone, water vapor, and nitric acid data at altitudes between 10 and 36 kilometers. The performance of the LIMS sensor flown on the Nimbus 7 Satellite was assessed. The LIP consists of the modified electrochemical concentration cell ozonesonde, the ultraviolet absorption photometric of ozone, the water vapor infrared radiometer sonde, the chemical absorption filter instrument for nitric acid vapor, and the infrared radiometer for nitric acid vapor. The limb instrument package (LIP), its correlative sensors, and the resulting data obtained from an engineering and four correlative flights are described

    Exploration of the faecal microbiota and biomarker discovery in equine grass sickness

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    Equine grass sickness (EGS) is a frequently fatal disease of horses, responsible for the death of 1-2% of the UK horse population annually. The etiology of this disease is currently uncharacterized although there is evidence it is associated with Clostridium botulinum neurotoxin in the gut. Prevention is currently not possible and ileal biopsy diagnosis is invasive. The aim of this study was to characterize the fecal microbiota and biofluid metabolic profiles of EGS horses, to further understand the mechanisms underlying this disease and identify metabolic biomarkers to aid in diagnosis. Urine, plasma and feces were collected from horses with EGS, matched controls (MC), and hospital controls (HC). Sequencing the16S rRNA gene of the fecal bacterial population of the study horses found a severe dysbiosis in EGS horses, with an increase in Bacteroidetes and a decrease in Firmicutes bacteria. Metabolic profiling by 1H nuclear magnetic resonance (NMR) spectroscopy found EGS to be associated with the lower urinary excretion of hippurate and 4-cresyl sulfate and higher excretion of O-acetyl carnitine and trimethylamine-N-oxide (TMAO). The predictive ability of the complete urinary metabolic signature and using the four discriminatory urinary metabolites to classify horses by disease status was assessed using a second (test) set of horses. The urinary metabolome and a combination of the four candidate biomarkers showed promise in aiding the identification of horses with EGS. Characterization of the metabolic shifts associated with EGS offers the potential of a non-invasive test to aid pre-mortem diagnosis
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