Dataset Information

Ultra-processed food consumption and metabolic disease risk: an umbrella review of systematic reviews with meta-analyses of observational studies.

ABSTRACT:

Background and aims

There is an ongoing debate on whether to advocate reducing ultra-processed food (UPF) in dietary guidelines to control metabolic disease (such as obesity and type 2 diabetes mellitus [T2DM]). We aimed to summarize the evidence from systematic reviews with meta-analyses between UPF consumption and metabolic diseases risk, assess the credibility, and verify the robustness of these associations.

Methods

We systematically searched PubMed, Web of Science, Embase, and Cochrane Library databases from their inception to July 15, 2023, to identify relevant systematic reviews with meta-analyses. We used the random-effects model to evaluate the summary effect size, along with 95% confidence interval and prediction interval. We also assessed heterogeneity, evidence of small-study effects and excess significance bias, and categorized the credibility of each association based on quantitative umbrella review criteria. Additionally, we conducted subgroup and sensitivity analyses to assess the robustness of associations based on continents, study design, dietary assessment methods, definition methods of UPF, population, and units of UPF consumption.

Results

Overall, 6 systematic reviews with 13 meta-analyses were included. Three (23.08%) meta-analyses were classified as highly suggestive evidence for meeting the criteria that associations were significant at p < 10^-6, had more than 1,000 cases, and presented the largest study with significance at p < 0.05. Among them, the highest UPF consumption quantile was associated with an increased risk of obesity (OR = 1.55, 95% CI: 1.36-1.77) when compared with the lowest UPF consumption quantile. The highest UPF consumption quantile was associated with an increased risk of T2DM (RR = 1.40, 95% CI: 1.23-1.59) when compared with the lowest UPF consumption quantile, and a 10% increase in UPF consumption (% g/d) was associated with an increased risk of T2DM (RR = 1.12, 95% CI: 1.10-1.13). Meanwhile, the robustness of these associations was verified by a series of subgroup and sensitivity analyses.

Conclusion

UPF consumption may be a risk factor for several metabolic diseases. However, well-designed studies are still needed to verify our findings in the future.

SUBMITTER: Lv JL

PROVIDER: S-EPMC10864658 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Ultra-processed food consumption and metabolic disease risk: an umbrella review of systematic reviews with meta-analyses of observational studies.

Lv Jia-Le JL Wei Yi-Fan YF Sun Jia-Nan JN Shi Yu-Chen YC Liu Fang-Hua FH Sun Ming-Hui MH Chang Qing Q Wu Qi-Jun QJ Zhao Yu-Hong YH

Frontiers in nutrition 20240131

<h4>Background and aims</h4>There is an ongoing debate on whether to advocate reducing ultra-processed food (UPF) in dietary guidelines to control metabolic disease (such as obesity and type 2 diabetes mellitus [T2DM]). We aimed to summarize the evidence from systematic reviews with meta-analyses between UPF consumption and metabolic diseases risk, assess the credibility, and verify the robustness of these associations.<h4>Methods</h4>We systematically searched PubMed, Web of Science, Embase, an ...[more]

PMID: 38356860

Similar Datasets

Project description:BackgroundAlthough higher consumption of ultra-processed food (UPF) has been linked to a higher risk of metabolic syndrome (MetS), the results remain controversial. Herein, we performed a systematic review and meta-analysis of observational studies to clarify the relationship between UPF consumption defined by the NOVA framework and risk of MetS.MethodsAn extensive literature search on PubMed, ISI Web of Science, EBSCO and China National Knowledge Infrastructure (CNKI) databases was conducted to search for the relevant articles published priori to January 2023, and newly published articles between January 2023 and March 2023 were re-searched. Random-effects or fixed-effects models were adopted to calculate the pooled relative risks (RRs) and 95% confidence intervals (CIs). The between-study heterogeneity was explored using the Cochran's Q test and I-square (I2). Publication bias was investigated using the visual inspection of asymmetry in funnel plots and Begg's and Egger's tests.ResultsNine studies (six cross-sectional and three prospective cohort studies) totaling 23,500 participants with 6,192 MetS cases were included in the final analysis. The pooled effect size for the highest vs. lowest categories of UPF consumption indicated a positive association with the risk of MetS (RR: 1.25, 95%CI: 1.09-1.42, P < 0.0001). Subgroup analyses revealed a positive association between consumption of UPF and MetS risk in cross-sectional studies (RR: 1.47, 95%CI: 1.16-1.87, P = 0.002), and no significant association in cohort studies (RR: 1.10, 95%CI: 0.96-1.27, P = 0.104), respectively. In addition, a more significant association between UPF consumption and increased risk of MetS was found in the subgroups of study quality <7 (RR: 2.22; 95%CI: 1.28-3.84, P = 0.004) than study quality ≥7 (RR: 1.20; 95%CI: 1.06-1.36, P = 0.005). Similarly, when we performed analyses separately by sample size, there was a significant association between UPF consumption and MetS risk in sample size ≥5,000 (RR: 1.19; 95%CI: 1.11-1.27, P < 0.0001), and in sample size <5,000 (RR: 1.43; 95%CI: 1.08-1.90, P = 0.013), respectively.ConclusionsOur findings suggest that higher consumption of UPF is significantly associated with an increased risk of MetS. Further longitudinal studies are needed to confirm the effect of UPF consumption on MetS.

Project description:ObjectiveTo evaluate the existing meta-analytic evidence of associations between exposure to ultra-processed foods, as defined by the Nova food classification system, and adverse health outcomes.DesignSystematic umbrella review of existing meta-analyses.Data sourcesMEDLINE, PsycINFO, Embase, and the Cochrane Database of Systematic Reviews, as well as manual searches of reference lists from 2009 to June 2023.Eligibility criteria for selecting studiesSystematic reviews and meta-analyses of cohort, case-control, and/or cross sectional study designs. To evaluate the credibility of evidence, pre-specified evidence classification criteria were applied, graded as convincing ("class I"), highly suggestive ("class II"), suggestive ("class III"), weak ("class IV"), or no evidence ("class V"). The quality of evidence was assessed using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) framework, categorised as "high," "moderate," "low," or "very low" quality.ResultsThe search identified 45 unique pooled analyses, including 13 dose-response associations and 32 non-dose-response associations (n=9 888 373). Overall, direct associations were found between exposure to ultra-processed foods and 32 (71%) health parameters spanning mortality, cancer, and mental, respiratory, cardiovascular, gastrointestinal, and metabolic health outcomes. Based on the pre-specified evidence classification criteria, convincing evidence (class I) supported direct associations between greater ultra-processed food exposure and higher risks of incident cardiovascular disease related mortality (risk ratio 1.50, 95% confidence interval 1.37 to 1.63; GRADE=very low) and type 2 diabetes (dose-response risk ratio 1.12, 1.11 to 1.13; moderate), as well as higher risks of prevalent anxiety outcomes (odds ratio 1.48, 1.37 to 1.59; low) and combined common mental disorder outcomes (odds ratio 1.53, 1.43 to 1.63; low). Highly suggestive (class II) evidence indicated that greater exposure to ultra-processed foods was directly associated with higher risks of incident all cause mortality (risk ratio 1.21, 1.15 to 1.27; low), heart disease related mortality (hazard ratio 1.66, 1.51 to 1.84; low), type 2 diabetes (odds ratio 1.40, 1.23 to 1.59; very low), and depressive outcomes (hazard ratio 1.22, 1.16 to 1.28; low), together with higher risks of prevalent adverse sleep related outcomes (odds ratio 1.41, 1.24 to 1.61; low), wheezing (risk ratio 1.40, 1.27 to 1.55; low), and obesity (odds ratio 1.55, 1.36 to 1.77; low). Of the remaining 34 pooled analyses, 21 were graded as suggestive or weak strength (class III-IV) and 13 were graded as no evidence (class V). Overall, using the GRADE framework, 22 pooled analyses were rated as low quality, with 19 rated as very low quality and four rated as moderate quality.ConclusionsGreater exposure to ultra-processed food was associated with a higher risk of adverse health outcomes, especially cardiometabolic, common mental disorder, and mortality outcomes. These findings provide a rationale to develop and evaluate the effectiveness of using population based and public health measures to target and reduce dietary exposure to ultra-processed foods for improved human health. They also inform and provide support for urgent mechanistic research.Systematic review registrationPROSPERO CRD42023412732.

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:Diet may play an important role in the occurrence of esophageal cancer (EC). The aim of this umbrella review was to grade the evidence for the association between dietary factors and EC risk. A protocol for this review was registered with the PROSPERO database (CRD42021283232). Publications were identified by searching PubMed, EMBASE, Web of Science, Cochrane Database of Systematic Reviews, and CINAHL databases. Only systematic reviews and meta-analyses of observational studies (cohort studies, case-cohort studies, nested case-control studies) were eligible. AMSTAR-2 (A Measurement Tool to Assess Systematic Reviews) was used to assess the methodological quality of included systematic reviews. For each association, random-effects pooled effect size, 95% CI, number of cases, 95% prediction interval, heterogeneity, small-study effect, and excess significance bias were calculated to grade the evidence. From 882 publications, 107 full-text articles were evaluated for eligibility, and 20 systematic reviews and meta-analyses describing 32 associations between dietary factors and EC risk were included in the present umbrella review. By assessing the strength and validity of the evidence, 1 association (positively associated with alcohol intake) was supported by highly suggestive evidence and 1 (inversely associated with calcium intake) showed a suggestive level of evidence. Evidence for 7 associations was weak (positively associated with red meat and processed-meat intake; inversely associated with whole grains, fruits, green leafy vegetables, green tea, and zinc intake). The remaining 23 associations were nonsignificant. In conclusion, the findings of this umbrella review emphasize that habitually consuming calcium, whole grains, fruits, green leafy vegetables, green tea, and zinc and reducing alcohol, red meat, and processed-meat intake are associated with a lower risk of EC. Since this umbrella review included only observational study data and some of the associations were graded as weak, caution should be exercised in interpreting these relations.

Dataset Information

Ultra-processed food consumption and metabolic disease risk: an umbrella review of systematic reviews with meta-analyses of observational studies.

Background and aims

Methods

Results

Conclusion

Publications

Ultra-processed food consumption and metabolic disease risk: an umbrella review of systematic reviews with meta-analyses of observational studies.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets