Showing 2,181 - 2,186 results of 2,186 for search '"fast food"', query time: 0.31s Refine Results
  1. 2181

    The 2018 World Cancer Research Fund (WCRF)/American Institute for Cancer Research (AICR) score and diabetes risk in the Diabetes Prevention Program Outcomes Study (DPPOS) by Marissa M. Shams-White, Ashley H. Tjaden, Sharon L. Edelstein, Sarah Bassiouni, Lisa L. Kahle, Catherine Kim, Xavier Pi-Sunyer, Karla A. Temple, Elizabeth M. Venditti, Jill Reedy, Brandy M. Heckman-Stoddard, DPP Research Group

    Published 2022-09-01
    “…Methods The Diabetes Prevention Program (DPP) randomized adults at high risk for diabetes to receive a lifestyle intervention (ILS), metformin (MET) or a placebo (PLB) (mean: 3.2 years), with additional follow-up in DPPOS for 11 years (mean: 15 years total). 2018 WCRF/AICR Scores included seven components: body weight, physical activity, plant-based foods, fast foods, red and processed meat, sugar-sweetened beverages, and alcohol; the optional breastfeeding component was excluded. …”
    Get full text
    Article
  2. 2182

    The Home Environment Interview and associations with energy balance behaviours and body weight in school-aged children – a feasibility, reliability, and validity study by Alice R. Kininmonth, Stephanie Schrempft, Andrea Smith, Louise Dye, Clare Lawton, Abigail Fisher, Clare Llewellyn, Alison Fildes

    Published 2021-12-01
    “…Results Children (n = 298) living in ‘higher-risk’ home environments (a 1 unit increase in the HEI obesogenic risk score) were less likely to consume fruits (OR; 95% CI = 0.40; 0.26–0.61, p < 0.001), and vegetables (0.30; 0.18–0.52, p < 0.001), and more likely to consume energy-dense snack foods (1.71; 1.08–2.69, p = 0.022), convenience foods (2.58; 1.64–4.05, p < 0.001), and fast foods (3.09; 1.90–5.04, p < 0.001). Children living in more obesogenic home environments also engaged in more screen-time (β (SE) = 4.55 (0.78), p < 0.001), spent more time playing video games (β (SE) = 1.56 (0.43), p < 0.001), and were less physically active (OR; 95% CI = 0.57; 0.40–0.80, p < 0.01). …”
    Get full text
    Article
  3. 2183

    Association of macro-level determinants with adolescent overweight and suicidal ideation with planning: A cross-sectional study of 21 Latin American and Caribbean Countries. by Christelle Elia, Alexis Karamanos, Alexandru Dregan, Majella O'Keeffe, Ingrid Wolfe, Jane Sandall, Craig Morgan, J Kennedy Cruickshank, Reeta Gobin, Rainford Wilks, Seeromanie Harding

    Published 2020-12-01
    “…Food systems are changing with increased availability and marketing of packaged and fast foods and sugar-sweetened drinks. Adolescence is a formative phase of the life course with multiple physical, emotional and social changes which can make them vulnerable to health problems. …”
    Get full text
    Article
  4. 2184

    Effects of food labels on consumers purchasing behavior in Malaysia by Abdul Latiff, Zul Ariff

    Published 2013
    “…Changes in the food environment, including the convenience foods, frozen foods and fast foods high in energy and fat content, has affected the views of the health conscious consumers in Malaysia. …”
    Get full text
    Thesis
  5. 2185

    Perfil de lípidos y lipoproteínas en inmigrantes chinos residentes en Costa Rica by Ileana Holst, Rafael Monge-Rojas, Rita Ma Marín, Karol Hidalgo, Mónica Kelly

    Published 2002-09-01
    “…A high percentage of the immigrants eat food with animal protein more than 3 times/week and around 23% eat frequently snacks and fast foods. Our data suggest that the Chinese immigrants still keep some characteristics of their nutritional culture. …”
    Get full text
    Article
  6. 2186

    OBESITY: HOW TO PREVENT PAKISTANI PEOPLE FROM GETTING HEAVIER? by Akhtar Sherin

    Published 2014-03-01
    “…Use of industrial processed foods, fast foods, junk food and sugared fizzy drinks is getting very popular in younger generation. …”
    Get full text
    Article