Dataset Information

Use of Different Food Classification Systems to Assess the Association between Ultra-Processed Food Consumption and Cardiometabolic Health in an Elderly Population with Metabolic Syndrome (PREDIMED-Plus Cohort).

ABSTRACT: The association between ultra-processed food (UPF) and risk of cardiometabolic disorders is an ongoing concern. Different food processing-based classification systems have originated discrepancies in the conclusions among studies. To test whether the association between UPF consumption and cardiometabolic markers changes with the classification system, we used baseline data from 5636 participants (48.5% female and 51.5% male, mean age 65.1 ± 4.9) of the PREDIMED-Plus ("PREvention with MEDiterranean DIet") trial. Subjects presented with overweight or obesity and met at least three metabolic syndrome (MetS) criteria. Food consumption was classified using a 143-item food frequency questionnaire according to four food processing-based classifications: NOVA, International Agency for Research on Cancer (IARC), International Food Information Council (IFIC) and University of North Carolina (UNC). Mean changes in nutritional and cardiometabolic markers were assessed according to quintiles of UPF consumption for each system. The association between UPF consumption and cardiometabolic markers was assessed using linear regression analysis. The concordance of the different classifications was assessed with intra-class correlation coefficients (ICC3, overall = 0.51). The highest UPF consumption was obtained with the IARC classification (45.9%) and the lowest with NOVA (7.9%). Subjects with high UPF consumption showed a poor dietary profile. We detected a direct association between UPF consumption and BMI (p = 0.001) when using the NOVA system, and with systolic (p = 0.018) and diastolic (p = 0.042) blood pressure when using the UNC system. Food classification methodologies markedly influenced the association between UPF consumption and cardiometabolic risk markers.

SUBMITTER: Martinez-Perez C

PROVIDER: S-EPMC8308804 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature

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Use of Different Food Classification Systems to Assess the Association between Ultra-Processed Food Consumption and Cardiometabolic Health in an Elderly Population with Metabolic Syndrome (PREDIMED-Plus Cohort).

Martinez-Perez Celia C San-Cristobal Rodrigo R Guallar-Castillon Pilar P Martínez-González Miguel Ángel MÁ Salas-Salvadó Jordi J Corella Dolores D Castañer Olga O Martinez Jose Alfredo JA Alonso-Gómez Ángel M ÁM Wärnberg Julia J Vioque Jesús J Romaguera Dora D López-Miranda José J Estruch Ramon R Tinahones Francisco J FJ Lapetra José J Serra-Majem Lluis L Bueno-Cavanillas Aurora A Tur Josep A JA Sánchez Vicente Martín VM Pintó Xavier X Gaforio José J JJ Matía-Martín Pilar P Vidal Josep J Vázquez Clotilde C Ros Emilio E Bes-Rastrollo Maira M Babio Nancy N Sorlí Jose V JV Lassale Camille C Pérez-Sanz Beatriz B Vaquero-Luna Jessica J Bazán María Julia Ajejas MJA Barceló-Iglesias María Concepción MC Konieczna Jadwiga J Ríos Antonio García AG Bernal-López María Rosa MR Santos-Lozano José Manuel JM Toledo Estefanía E Becerra-Tomás Nerea N Portoles Olga O Zomeño María Dolores MD Abete Itziar I Moreno-Rodriguez Anai A Lecea-Juarez Oscar O Nishi Stephanie K SK Muñoz-Martínez Júlia J Ordovás José M JM Daimiel Lidia L

Nutrients 20210720 7

The association between ultra-processed food (UPF) and risk of cardiometabolic disorders is an ongoing concern. Different food processing-based classification systems have originated discrepancies in the conclusions among studies. To test whether the association between UPF consumption and cardiometabolic markers changes with the classification system, we used baseline data from 5636 participants (48.5% female and 51.5% male, mean age 65.1 ± 4.9) of the PREDIMED-Plus ("PREvention with MEDiterran ...[more]

PMID: 34371982

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Project description:Ultra-processed food (UPF) intake is associated with increased non-communicable disease risks. However, systematic reports on sociodemographic predictors of UPF intake are lacking. This review aimed to understand UPF consumption based on sociodemographic factors, using nationally representative cohorts. The systematic review was pre-registered (PROSPERO:CRD42022360199), following PRISMA guidelines. PubMed/MEDLINE searches (‘ultra-processed/ultraprocessed’ and ‘ultra-processing/ultraprocessing’) until 7 September 2022 retrieved 1131 results. Inclusion criteria included: observational, nationally representative adult samples, in English, in peer-reviewed journals, assessing the association between sociodemographics and individual-level UPF intake defined by the NOVA classification. Exclusion criteria included: not nationally representative, no assessment of sociodemographics and individual-level UPF intake defined by NOVA. Risk of bias was assessed using the Newcastle–Ottawa Scale (NOS). Fifty-five papers were included, spanning thirty-two countries. All thirteen sociodemographic variables identified were significantly associated with UPF intake in one or more studies. Significant differences in UPF intake were seen across age, race/ethnicity, rural/urbanisation, food insecurity, income and region, with up to 10–20% differences in UPF intake (% total energy). Higher UPF intakes were associated with younger age, urbanisation and being unmarried, single, separated or divorced. Education, income and socioeconomic status showed varying associations, depending on country. Multivariate analyses indicated that associations were independent of other sociodemographics. Household status and gender were generally not associated with UPF intake. NOS averaged 5·7/10. Several characteristics are independently associated with high UPF intake, indicating large sociodemographic variation in non-communicable disease risk. These findings highlight significant public health inequalities associated with UPF intake, and the urgent need for policy action to minimise social injustice-related health inequalities.

Project description:BackgroundProcessed packaged foods are readily available in Fiji; however, the extent to which ultra-processed foods (UPFs) currently contribute to energy and nutrient intake is unknown. This study aimed to assess the contribution of UPFs to total energy intake and nutrients of concern (sodium, sugar, fat) in a representative sample of adults in the central division of Fiji, identify the main food category sources of UPFs and assess variation by sociodemographic characteristics.MethodsA random sample of 700 adults was selected from two statistical enumeration areas (one semi-urban, one rural). Participant characteristics were collected, and a three-pass 24-h diet recall was undertaken. Foods consumed were coded based on the level of processing, in alignment with the NOVA categorisation system.ResultsThe contribution of UPFs to total energy, fat, sugar, and sodium intake and dietary sources of UPFs (based on the per cent daily energy contribution of UPFs from food groups) were estimated and assessed by sex, age group, ethnicity and location. A total of 534 adults participated (76% response rate, 50% female). UPFs contributed 21.5% (95% CI, 21.4% to 26.6%) of total energy intake, 22.8% (95% CI 20.5% to 25.1%) of total sodium intake, 24.0% (95% CI, 21.4% to 26.6%) of sugar intake and 18.6% (95% CI 16.5% to 20.7%) of total fat intake. Key food group contributors to UPF intake were bread and bakery products 42.9% (38.3% to 47.6%), non-alcoholic beverages 26.8% (22.4% to 31.1%), convenience foods 8.6% (6.3% to 10.8%), and meat, poultry, and meat alternatives 6.9% (4.8% to 8.9%). The contribution of UPFs to sodium, sugar and fat intake was similar for men and women; however, differences were observed by age group, ethnicity and region (semi-urban compared to rural).ConclusionsThis study identified that UPFs appear to be a large contributor to energy, sodium, fat and sugar intake in adults in the Central division of Fiji. A reduction of UPF consumption in Fiji may lead to a reduction of harmful nutrients such as sodium, fat, and sugar, crucial to reducing the diet-related burden of disease.

Project description:Frailty is a multidisciplinary public health issue and nutrition is key concern. Given the scientific consistency about inflammation as shared pathway to poor nutrition and frailty, food processing seems a suitable target to gain evidence in frailty prevention nutrition settings. This study aimed to assess diet in relation to nutritional frailty using the NOVA classification. Browsing the dataset of the Salus in Apulia, 2185 older adults were found to have completed the nutritional assessment, providing eligible data for this study goal. A validated construct, based on the co-presence of physical frailty by CHS criteria plus nutritional imbalance, was applied to characterize nutritional frailty phenotypes. Using the NOVA classification, daily food and beverage intakes from an 85-item self-administered FFQ were assigned to three categories, and effect sizes were tested among groups according to nutritional frailty status (presence/absence). Raw and adjusted logistic regression models were run to assess associations between NOVA food categories by quintiles of daily exposure (very-low, low, mild, moderate, high) and nutritional frailty. Nutritional frailty prevalence was 27%, being more frequent in males. Eating more unprocessed or minimally processed foods was inversely related to nutritional frailty, even after adjustment (OR: 0.10, 95%CI 0.07-0.16), showing a downward ORs behavior toward lower consumption quintiles. Listing in the quintile of moderate consumption of processed foods meant a nearly 50% increase in nutritional frailty probability (OR: 1.46, 95%CI 1.03-2.06), while the probability was double for the highest quintile against the lowest (OR: 3.22, 95%CI 2.27-4.58). A growing probability of nutritional frailty was found for increasing consumption of ultra-processed foods, but significance was lacking. The contribution of food processing to poor nutrition needs to be considered when promoting a better understanding of effective nutritional screening in aging. Therefore, food processing should be accounted for when composing diet guidelines for the older population within the framework of multidisciplinary efforts to ease the frailty healthcare burden.

Project description:BackgroundRapid simultaneous increases in ultra-processed food sales and obesity prevalence have been observed worldwide, including in Australia. Consumption of ultra-processed foods by the Australian population was previously shown to be systematically associated with increased risk of intakes of nutrients outside levels recommended for the prevention of obesity. This study aims to explore the association between ultra-processed food consumption and obesity among the Australian adult population and stratifying by age group, sex and physical activity level.MethodsA cross-sectional analysis of anthropometric and dietary data from 7411 Australians aged ≥20 years from the National Nutrition and Physical Activity Survey 2011-2012 was performed. Food consumption was evaluated through 24-h recall. The NOVA system was used to identify ultra-processed foods, i.e. industrial formulations manufactured from substances derived from foods and typically added of flavours, colours and other cosmetic additives, such as soft drinks, confectionery, sweet or savoury packaged snacks, microwaveable frozen meals and fast food dishes. Measured weight, height and waist circumference (WC) data were used to calculate the body mass index (BMI) and diagnosis of obesity and abdominal obesity. Regression models were used to evaluate the association of dietary share of ultra-processed foods (quintiles) and obesity indicators, adjusting for socio-demographic variables, physical activity and smoking.ResultsSignificant (P-trend ≤ 0.001) direct dose-response associations between the dietary share of ultra-processed foods and indicators of obesity were found after adjustment. In the multivariable regression analysis, those in the highest quintile of ultra-processed food consumption had significantly higher BMI (0.97 kg/m2; 95% CI 0.42, 1.51) and WC (1.92 cm; 95% CI 0.57, 3.27) and higher odds of having obesity (OR = 1.61; 95% CI 1.27, 2.04) and abdominal obesity (OR = 1.38; 95% CI 1.10, 1.72) compared with those in the lowest quintile of consumption. Subgroup analyses showed that the trend towards positive associations for all obesity indicators remained in all age groups, sex and physical activity level.ConclusionThe findings add to the growing evidence that ultra-processed food consumption is associated with obesity and support the potential role of ultra-processed foods in contributing to obesity in Australia.

Dataset Information

Use of Different Food Classification Systems to Assess the Association between Ultra-Processed Food Consumption and Cardiometabolic Health in an Elderly Population with Metabolic Syndrome (PREDIMED-Plus Cohort).

Publications

Use of Different Food Classification Systems to Assess the Association between Ultra-Processed Food Consumption and Cardiometabolic Health in an Elderly Population with Metabolic Syndrome (PREDIMED-Plus Cohort).

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