Semantic Scholar Open Access 2019 204 sitasi

Ultra-processed food intake and mortality in the USA: results from the Third National Health and Nutrition Examination Survey (NHANES III, 1988–1994)

Hyunju Kim Emily A Hu C. Rebholz

Abstrak

Abstract Objective To evaluate the association between ultra-processed food intake and all-cause mortality and CVD mortality in a nationally representative sample of US adults. Design Prospective analyses of reported frequency of ultra-processed food intake in 1988–1994 and all-cause mortality and CVD mortality through 2011. Setting The Third National Health and Nutrition Examination Survey (NHANES III, 1988–1994). Participants Adults aged ≥20 years (n 11898). Results Over a median follow-up of 19 years, individuals in the highest quartile of frequency of ultra-processed food intake (e.g. sugar-sweetened or artificially sweetened beverages, sweetened milk, sausage or other reconstructed meats, sweetened cereals, confectionery, desserts) had a 31% higher risk of all-cause mortality, after adjusting for demographic and socio-economic confounders and health behaviours (adjusted hazard ratio=1·31; 95% CI 1·09, 1·58; P-trend = 0·001). No association with CVD mortality was observed (P-trend=0·86). Conclusions Higher frequency of ultra-processed food intake was associated with higher risk of all-cause mortality in a representative sample of US adults. More longitudinal studies with dietary data reflecting the modern food supply are needed to confirm our results.

Topik & Kata Kunci

Penulis (3)

H

Hyunju Kim

E

Emily A Hu

C

C. Rebholz

Format Sitasi

Kim, H., Hu, E.A., Rebholz, C. (2019). Ultra-processed food intake and mortality in the USA: results from the Third National Health and Nutrition Examination Survey (NHANES III, 1988–1994). https://doi.org/10.1017/S1368980018003890

Akses Cepat

Lihat di Sumber doi.org/10.1017/S1368980018003890
Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Total Sitasi
204×
Sumber Database
Semantic Scholar
DOI
10.1017/S1368980018003890
Akses
Open Access ✓