Characterisation of UK diets according to degree of food processing and associations with socio-demographics and obesity: cross-sectional analysis of UK National Diet and Nutrition Survey (2008-12)

被引:162
|
作者
Adams, Jean [1 ]
White, Martin [1 ]
机构
[1] Univ Cambridge, Ctr Diet & Act Res, MRC Epidemiol Unit, Sch Clin Med,Inst Metab Sci, Cambridge CB2 0QQ, England
基金
英国惠康基金; 英国医学研究理事会; 英国经济与社会研究理事会;
关键词
Body weight; Food supply; Obesity; Socioeconomic factors; LIKELY IMPACT; CONSUMPTION; PRODUCTS; CLASSIFICATION; INDICATORS; QUALITY; HEALTH; WEIGHT;
D O I
10.1186/s12966-015-0317-y
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Background: Food processing alters food from its natural state for safety, convenience, taste or palatability. Previous research suggests that industrially processed foods, and diets high in these products, tend to be less healthful. However, most previous work is based on household, rather than individual-level, data. Little has been reported on the relationship between processed food consumption and markers of health; or on socio-demographic correlates of processed food consumption. Our objective was to describe: the nutritional content of foods classified according to degree of processing; the nutritional content of diets with different relative intakes of processed foods; the socio-demographic characteristics of individuals with different relative intakes of processed foods; and the association between intake of processed foods and body weight. Methods: Secondary analysis of data from the UK National Diet and Nutrition Survey (2008-12), a large national cross-sectional study of diet. Dietary information was collected using four-day, unweighed, food-diaries. Foods were classified as: unprocessed or minimally processed (MPF; foods with no processing or mostly physical processes applied to single whole foods), processed ingredients (PI; extracted and purified components of single whole foods), or ultra-processed food products (UPF; products produced from industrial combining of MPF and PI). Results: Two thousand one hundred seventy four adults were included. MPF and diets high in these foods, had the most healthful nutritional profile. UPF did not necessarily have the least healthful nutritional profile, but diets high in these foods did. Women, and older adults consumed more energy from MPF, and less from UPF. Those living in lower occupation social class households consumed less energy from MPF, but no more from UPF. Only higher intake of PI was consistently, inversely, associated with body weight. Conclusions: This is the first study to explore correlates of processed food consumption, using individual-level data from a large, national sample. Although higher intakes of MPF and lower intakes of UPF were associated with the most healthful dietary profiles, only intake of PI was consistently associated with body weight. Consumption of UPF varied by age and gender, but, unexpectedly, not by occupational social class. Longitudinal work is required to confirm relationships with health markers.
引用
收藏
页数:11
相关论文
共 39 条
  • [1] Characterisation of UK diets according to degree of food processing and associations with socio-demographics and obesity: cross-sectional analysis of UK National Diet and Nutrition Survey (2008–12)
    Jean Adams
    Martin White
    International Journal of Behavioral Nutrition and Physical Activity, 12
  • [2] Home-prepared food, dietary quality and socio-demographic factors: a cross-sectional analysis of the UK National Diet and nutrition survey 2008–16
    Chloe Clifford Astbury
    Tarra L. Penney
    Jean Adams
    International Journal of Behavioral Nutrition and Physical Activity, 16
  • [3] Home-prepared food, dietary quality and socio-demographic factors: a cross-sectional analysis of the UK National Diet and nutrition survey 2008-16
    Astbury, Chloe Clifford
    Penney, Tarra L.
    Adams, Jean
    INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 2019, 16 (01)
  • [4] Frequency and socio-demographic correlates of eating meals out and take-away meals at home: cross-sectional analysis of the UK national diet and nutrition survey, waves 1-4 (2008-12)
    Adams, Jean
    Goffe, Louis
    Brown, Tamara
    Lake, Amelia A.
    Summerbell, Carolyn
    White, Martin
    Wrieden, Wendy
    Adamson, Ashley J.
    INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 2015, 12
  • [5] Prevalence and socio-demographic correlates of cooking skills in UK adults: cross-sectional analysis of data from the UK National Diet and Nutrition Survey
    Jean Adams
    Louis Goffe
    Ashley J. Adamson
    Joel Halligan
    Nicola O’Brien
    Richard Purves
    Martine Stead
    Deborah Stocken
    Martin White
    International Journal of Behavioral Nutrition and Physical Activity, 12
  • [6] Prevalence and socio-demographic correlates of cooking skills in UK adults: cross-sectional analysis of data from the UK National Diet and Nutrition Survey
    Adams, Jean
    Goffe, Louis
    Adamson, Ashley J.
    Halligan, Joel
    O'Brien, Nicola
    Purves, Richard
    Stead, Martine
    Stocken, Deborah
    White, Martin
    INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY, 2015, 12
  • [7] Coffee consumption and cardiometabolic health in UK adults: cross-sectional analysis of the National Diet and Nutrition Survey
    Pourshahidi, L. K.
    Navarini, L.
    Petracco, M.
    Strain, J. J.
    PROCEEDINGS OF THE NUTRITION SOCIETY, 2017, 76 (OCE3) : E102 - E102
  • [8] Is eating home-prepared food a necessary condition for high dietary quality? Cross-sectional analysis of the UK National Diet and Nutrition Survey, 2008-16
    Astbury, Chloe Clifford
    Penney, Tarra L.
    Adams, Jean
    LANCET, 2018, 392 : 18 - 18
  • [9] Dietary intake of (poly)phenols in children and adults: cross-sectional analysis of UK National Diet and Nutrition Survey Rolling Programme (2008–2014)
    Nida Ziauddeen
    Alice Rosi
    Daniele Del Rio
    Birdem Amoutzopoulos
    Sonja Nicholson
    Polly Page
    Francesca Scazzina
    Furio Brighenti
    Sumantra Ray
    Pedro Mena
    European Journal of Nutrition, 2019, 58 : 3183 - 3198
  • [10] Does food portion size differ by level of household income? A cross-sectional study using the UK National Diet and Nutrition Survey 2008-11
    Albar, Salwa A.
    Alwan, Nisreen A.
    Evans, Charlotte E. L.
    Cade, Janet E.
    LANCET, 2015, 386 : S18 - S18