| Literature DB >> 34164122 |
Eurídice Martínez Steele1,2, Carolina Batis3, Gustavo Cediel2,4, Maria Laura da Costa Louzada1,2, Neha Khandpur1,2,5, Priscila Machado2,6, Jean-Claude Moubarac7, Fernanda Rauber1,2,8, Marcela Reyes Jedlicki9, Renata Bertazzi Levy2,8, Carlos A Monteiro1,2.
Abstract
Cross-sectional nutritional survey data collected in eight countries were used to estimate saturated fatty acid intakes. Our objective was to estimate the proportion of excessive saturated fatty acid intakes (>10 % of total energy intake) that could be avoided if ultra-processed food consumption was reduced to levels observed in the first quintile of each country. Secondary analysis was performed of 24 h dietary recall or food diary/record data collected by the most recently available nationally representative cross-sectional surveys carried out in Brazil (2008-9), Chile (2010), Colombia (2005), Mexico (2012), Australia (2011-12), the UK (2008-16), Canada (2015) and the US (2015-16). Population attributable fractions estimated the impact of reducing ultra-processed food consumption on excessive saturated fatty acid intakes (above 10 % of total energy intake) in each country. Significant relative reductions in the percentage of excessive saturated fatty acid intakes would be observed in all countries if ultra-processed food consumption was reduced to levels observed in the first quintile's consumption. The reductions in excessive intakes ranged from 10⋅0 % (95 % CI 6⋅2-13⋅6 %) in Canada to 35⋅0 % (95 % CI 28⋅7-48⋅0 %) in Mexico. In all eight studied countries, all presenting more than 30 % of intakes with excessive saturated fatty acids, lowering the dietary contribution of ultra-processed foods to attainable, context-specific levels was shown to be a potentially effective way to reduce the percentage of intakes with excessive saturated fatty acids, which may play an important role in the prevention of non-communicable diseases, particularly cardiovascular diseases.Entities:
Keywords: CI, confidence interval; CVD, cardiovascular disease; Diet; ES, estimated size; NCD, non-communicable disease; PAF, population attributable fraction; PR, prevalence ratio; Population attributable fraction; Saturated fatty acids; UPF, ultra-processed food; Ultra-processed foods
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Substances:
Year: 2021 PMID: 34164122 PMCID: PMC8190718 DOI: 10.1017/jns.2021.30
Source DB: PubMed Journal: J Nutr Sci ISSN: 2048-6790
Characteristics of nationally representative dietary surveys in eight countries
| Country | Survey, year | Sample size | Age, years | Dietary assessment method | Food composition table | Sociodemographic covariates | Source |
|---|---|---|---|---|---|---|---|
| Brazil | POF, 2008–2009 | 34 003 | 10+ y | 24 h recall; 2 d [means of the two studied days; only individuals who complete both days of the food record were included] | Brazilian and United States Department of Agriculture Food Composition Tables, in addition to regional recipes and food label references | Sex (male, female), age (10–19, 20–30, 31–40, 41–50, 51–59 and ≥60 years old year), schooling (up to 8 years, 9–12, over 12 years of study), race (White, Black and Other), household income per capita (fifths of income per capita), region (North, Northeast, Central-West, Southeast, South) and area (rural, urban) | Louzada |
| Chile | ENCA, 2010 | 4920 | 2+ y | 24 h recall; 2 d [mean day 1 and day 2 when both days were available (20 %); day 1 otherwise] | USDA and Chilean Food Composition Tables, in addition to nutrient labels from Chilean packaged foods | Sex (male/female), age (2–19, 20–49, 50–64, ≥65 year), schooling (years of schooling of the head of the family: ≤8, 9–11, ≥12 years), income (1, 2, 3–5, ≥6 minimum wages), region (North, Centre, South, South (Austral) and Metropolitan), area (rural/urban) | Cediel |
| Colombia | ENSIN, 2005 | 38 643 | 2+ y | 24 h recall; 2 d [mean day 1 and day 2 when both days were available (10 %); day 1 otherwise] | Food composition table from software developed by the School of Nutrition and Dietetics at the University of Antioquía, in Medellín, Colombia | Sex (male/female), age (2–9, 10–19, 20–34, 35–49, ≥ 50 year), income (Level 1, 2, 3 and 4), region (Atlántica, Oriental, Central, Pacífica, Bogotá, Orinoquia and Amazonia), area (rural/urban/central) | Parra |
| Mexico | ENSANUT, 2012 | 10 086 | 1+ y | 24 h recall; 1 d | Food composition database compiled by the Center for Nutrition and Health Research of the INSP (Food Composition Table. Version 2014. Cuernavaca, Mexico: National Institute of Public Health; 2012) | Sex (male, female), age (1–4, 5–11, 12–19 and ≥ 20 years old), residence area (rural and urban), region (South, Central and North), socioeconomic status (low, medium and high), head of household educational level (without education, elementary education, middle school education, high school education and college graduate education) | Marrón Ponce |
| Australia | NNPAS, 2011–2012 | 12 153 | 2+ y | 24 h recall; 2 d [mean day 1 and day 2 when both days were available (64 %); day 1 otherwise] | Australian AUSNUT 2011–2013 Food Composition Table specifically developed to reflect the food supply and food preparation practices during the period of the NNPAS 2011–2012 | Sex (male/female), age (years, continuous), schooling (completed 9 years or below including never attended, completed 10–12 years with no graduate degree, completed 12 years with graduate degree), income (Socioeconomic Index of Disadvantage for Areas – quintiles), area (major cities of Australia, inner regional and other, which includes outer regional, remote and very remote Australia) | Machado |
| UK | NDNS, 2008–2016 | 12 086 | 1⋅5+ y | Food diary; 4 d [means of the 3/4 d. More than 91 % completed the four food diary days] | UK Department of Health's Nutrient Food Composition Table, updated for each survey year | Sex (male, female), age (years, continuous), ethnicity (White, Mixed ethnic group, Black or Black British, Asian or Asian British and Other race), region (England North, England Central/Midlands, England South (including London), Scotland, Wales and Northern Ireland), survey year (years 1–6) and equivalised household income (equivalised for different household sizes and composition using the McClements equivalence scale) | Rauber |
| Canada | CCHS, 2015 | 20 478 | 1+ y | 1 d; 24 h recall | Canadian Nutrient File (CNF), 2015 | Sex (male/female), age (continuous in years), schooling (there are four categories in this variable: (1) below high school diploma, (2) high school diploma or equivalent, (3) trade certificate or college degree, CEGEP degree, university certificate, university degree below BA degree, and (4) university degree and above), birthplace (Canada or not), zone (urban or rural) | Moubarac |
| US | NHANES, 2015–2016 | 8113 | 1+ y | 24 h recall; 2 d [mean day 1 and day 2 when both days were available (82⋅4 %); day 1 otherwise] | United States Department of Agriculture Food Composition Table, updated for each survey year | Sex (male/female), age (1–5, 6–11, 12–19, 20–39, 40–59, 60+ years), race/ethnicity (Mexican-American, Other Hispanic, Non-Hispanic White, Non-Hispanic Black, Other Race including Multi-Racial) and ratio of family income to poverty (categorised based on Supplemental Nutrition Assistance Program (SNAP) eligibility as 0⋅00–1⋅30, >1⋅30–3⋅50 and >3⋅50 and above) | Martinez |
Contribution of UPFs and saturated fatty acids to total energy intake (kcal/d) and prevalence of excessive saturated fatty acid intakes in eight countries
| Country | Total energy intake (kcal/d) | Percentage of total energy intake from UPFs | Percentage of total energy intake from saturated fatty acids | Prevalence of intakes with excessive saturated fatty acids |
|---|---|---|---|---|
| mean (95 % CI) | mean (95 % CI) | mean (95 % CI) | % (95 % CI) | |
| Colombia | 1835⋅1 (1811⋅6, 1858⋅6) | 15⋅9 (15⋅3, 16⋅5) | 8⋅6 (8⋅4, 8⋅8) | 31⋅40 (31⋅38, 31⋅42) |
| Brazil | 1952⋅9 (1932⋅5, 1973⋅3) | 18⋅9 (18⋅2, 19⋅2) | 9⋅7 (9⋅6, 9⋅8) | 40⋅8 (39⋅7, 41⋅9) |
| Chile | 1804⋅7 (1760⋅6, 1848⋅8) | 28⋅6 (27⋅7, 29⋅6) | 8⋅8 (8⋅7, 9⋅0) | 32⋅4 (30⋅2, 34⋅7) |
| Mexico | 1923⋅4 (1886⋅2, 1960⋅6) | 30⋅0 (29⋅2, 30⋅8) | 11⋅2 (11⋅0, 11⋅4) | 58⋅4 (56⋅5, 60⋅3) |
| Australia | 1926⋅5 (1908⋅5, 1944⋅5) | 41⋅6 (41⋅1, 42⋅1) | 12⋅0 (11⋅8, 12⋅1) | 67⋅1 (66⋅0, 68⋅2) |
| Canada | 1816⋅1 (1804⋅7, 1827⋅5) | 51⋅0 (50⋅6, 51⋅4) | 11⋅0 (10⋅9, 11⋅1) | 56⋅80 (56⋅79, 56⋅81) |
| US | 1995⋅1 (1956⋅9, 2033⋅4) | 56⋅2 (55⋅0, 57⋅3) | 11⋅5 (11⋅3, 11⋅7) | 66⋅9 (64⋅2, 69⋅6) |
| UK | 1746⋅7 (1732⋅9 1760⋅6) | 56⋅7 (56⋅2, 57⋅1) | 12⋅1 (12⋅0, 12⋅2) | 74⋅0 (72⋅8, 75⋅2) |
Fig. 1.Adjusteda mean dietary content of saturated fatty acids across quintiles of the dietary contribution of UPFs in eight countries. aAdjusted according to covariates listed in Table 1. bKnots corresponding to country-specific quintiles of the dietary contribution of UPFs. *Statistically significant coefficient for linear trend (P < 0⋅05).
Adjusted percentage of intakes with excessive saturated fatty acids (>10 %) across quintiles of the dietary contribution of UPFs in eight countries
| Country | Quintiles of the dietary contribution of UPFs | |||||
|---|---|---|---|---|---|---|
| Q1 | Q2 | Q3 | Q4 | Q5 | ||
| Colombia | 24⋅9 (22⋅9; 26⋅9) | 27⋅1 (25⋅1; 29⋅1) | 29⋅4 (27⋅4; 31⋅4) | 33⋅8 (31⋅8; 35⋅8) | 40⋅2 (38⋅2; 42⋅2) | |
| Brazil | 31⋅6 (29⋅6; 33⋅6) | 32⋅6 (30⋅7; 34⋅5) | 36⋅1 (34⋅1; 38⋅1) | 44⋅3 (42⋅1; 46⋅5) | 57⋅4 (55⋅0; 59⋅7) | |
| Chile | 22⋅5 (18⋅7; 26⋅3) | 26⋅8 (21⋅7; 31⋅9) | 27⋅6 (23⋅2; 32⋅0) | 37⋅9 (33⋅0; 42⋅8) | 46⋅2 (40⋅3; 52⋅0) | |
| Mexico | 38⋅6 (34⋅5; 42⋅7) | 51⋅8 (48⋅2; 55⋅4) | 64⋅2 (60⋅6; 67⋅7) | 67⋅7 (63⋅9; 71⋅6) | 72⋅5 (69⋅0; 75⋅9) | |
| Canada | 51⋅40 (51⋅38; 51⋅42) | 56⋅60 (56⋅58; 56⋅62) | 58⋅90 (58⋅88; 58⋅92) | 58⋅20 (58⋅18; 58⋅22) | 58⋅60 (58⋅58; 58⋅62) | |
| Australia | 50⋅4 (47⋅6; 53⋅1) | 62⋅9 (60⋅2; 65⋅6) | 69⋅2 (66⋅7; 71⋅6) | 75⋅1 (72⋅9; 77⋅4) | 77⋅3 (75⋅1; 79⋅6) | |
| US | 53⋅8 (47⋅5; 60⋅1) | 67⋅1 (63⋅0; 71⋅1) | 69⋅5 (66⋅6; 72⋅5) | 71⋅9 (69⋅1; 74⋅6) | 71⋅9 (67⋅6; 76⋅2) | |
| UK | 65⋅5 (62⋅3; 68⋅7) | 73⋅3 (70⋅5; 76⋅1) | 76⋅1 (73⋅5; 78⋅8) | 75⋅7 (73⋅1; 78⋅3) | 80⋅1 (77⋅7; 82⋅4) | |
Adjusted according to covariates listed in Table 1. 95 % CI in parenthesis.
Statistically significant linear trend (P≤0⋅05).
Fig. 2.Adjusteda PR of excessive saturated fatty acid intake (>10 %) between extreme quintiles of the dietary contribution of UPFs in eight countries. aAdjusted according to covariates listed in Table 1.
Fig. 3.Impact of UPF consumption on the adjusteda prevalence of excessive saturated fatty acid intake in eight countries. aAdjusted according to covariates listed in Table 1.