Journal: Public Health Nutrition

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Abbreviation

Public Health Nutr.

Publisher

Cambridge University Press

Journal Volumes

ISSN

1368-9800
1475-2727

Description

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Publications 1 - 10 of 26
  • Mezgec, Simon; Eftimov, Tome; Bucher, Tamara; et al. (2019)
    Public Health Nutrition
    Objective The present study tested the combination of an established and a validated food-choice research method (the ‘fake food buffet’) with a new food-matching technology to automate the data collection and analysis. Design The methodology combines fake-food image recognition using deep learning and food matching and standardization based on natural language processing. The former is specific because it uses a single deep learning network to perform both the segmentation and the classification at the pixel level of the image. To assess its performance, measures based on the standard pixel accuracy and Intersection over Union were applied. Food matching firstly describes each of the recognized food items in the image and then matches the food items with their compositional data, considering both their food names and their descriptors. Results The final accuracy of the deep learning model trained on fake-food images acquired by 124 study participants and providing fifty-five food classes was 92·18 %, while the food matching was performed with a classification accuracy of 93 %. Conclusions The present findings are a step towards automating dietary assessment and food-choice research. The methodology outperforms other approaches in pixel accuracy, and since it is the first automatic solution for recognizing the images of fake foods, the results could be used as a baseline for possible future studies. As the approach enables a semi-automatic description of recognized food items (e.g. with respect to FoodEx2), these can be linked to any food composition database that applies the same classification and description system.
  • McLean, Erin; Cogswell, Mary; Egli, Ines; et al. (2009)
    Public Health Nutrition
  • Aeberli, Isabelle; Ammann, Rachel S.; Knabenhans, Marisa; et al. (2010)
    Public Health Nutrition
  • Rohner, Fabian; Tschannen, Andres B.; Northrop-Clewesa, Christine; et al. (2012)
    Public Health Nutrition
  • Zimmermann, Michael B. (2007)
    Public Health Nutrition
  • Hess, Rebecca; Visschers, Vivianne H.M.; Siegrist, Michael (2012)
    Public Health Nutrition
  • Wieser, Simon; Brunner, Beatrice; Tzogiou, Christina; et al. (2018)
    Public Health Nutrition
    Objective To estimate the cost-effectiveness of price subsidies on fortified packaged complementary foods (FPCF) in reducing iodine deficiency, iron-deficiency anaemia and Vitamin A deficiency in Pakistani children.Design The study proceeded in three steps: (i) we determined the current lifetime costs of the three micronutrient deficiencies with a health economic model; (ii) we assessed the price sensitivity of demand for FPCF with a market survey in two Pakistani districts; (iii) we combined the findings of the first two steps with the results of a systematic review on the effectiveness of FPCF in reducing micronutrient deficiencies. The cost-effectiveness was estimated by comparing the net social cost of price subsidies with the disability-Adjusted life years (DALY) averted.Setting Districts of Faisalabad and Hyderabad in Pakistan.Subjects Households with 6-23-month-old children stratified by socio-economic strata.Results The lifetime social costs of iodine deficiency, iron-deficiency anaemia and Vitamin A deficiency in 6-23-month-old children amounted to production losses of US 209 million and 175 000 DALY. Poor households incurred the highest costs, yet even wealthier households suffered substantial losses. Wealthier households were more likely to buy FPCF. The net cost per DALY of the interventions ranged from a return per DALY averted of US 783 to US 65. Interventions targeted at poorer households were most cost-effective.Conclusions Price subsidies on FPCF might be a cost-effective way to reduce the societal costs of micronutrient deficiencies in 6-23-month-old children in Pakistan. Interventions targeting poorer households are especially cost-effective.
  • Snack frequency
    Item type: Journal Article
    Hartmann, Christina; Siegrist, Michael; van der Horst, Klazine (2013)
    Public Health Nutrition
  • Tschanz, Linda; Kaelin, Ivo; Wrobel, Anna; et al. (2022)
    Public Health Nutrition
    Objective: Characterising meat consumption in Switzerland across socio-demographic, lifestyle and anthropometric groups. Design: Representative national data from the menuCH survey (two 24-hour dietary recalls, anthropometric measurements and a lifestyle questionnaire) were used to analyse the total average daily intake of meat and main meat categories. Energy-standardised average intake (g/1000 kcal) was calculated and its association with 12 socio-demographic, lifestyle and anthropometric variables was investigated using multivariable linear regression. Setting: Switzerland. Participants: Totally, 2057 participants aged 18-75 years. Results: Average total meat intake was 109 g/d, which included 43 g/d of processed meat, 37 g/d of red meat and 27 g/d of white meat. Energy-standardised meat intake was highest for men, the Italian-language region and the youngest age group (18-29 years). Regression results showed significantly lower total meat and red meat consumption (g/1000 kcal) for women than men. However, there were no sex-specific differences for white meat. Total meat and white meat consumption were positively associated with the 18-29 age group, compared with 30-44 years, non-Swiss compared with Swiss participants and one-parent families with children compared with couples without children. Consumption of all categories of meat showed positive associations for BMI > 25 kg/m(2) compared with BMI 18 center dot 5-25 kg/m(2) and for French- and Italian-language regions compared with German-language region. Conclusion: The current study reveals that there are significant differences in the amounts and types of meat consumed in Switzerland, suggesting that evidence-based risks and benefits of these categories need to be emphasised more in meat consumption recommendations.
  • Andersson, M.; Benoist, B. de; Delange, F.; et al. (2007)
    Public Health Nutrition
Publications 1 - 10 of 26