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      Association between Plant-based Diet and Risk of Chronic Diseases and All-Cause Mortality in Centenarians in China: A Cohort Study

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          Abstract

          Background

          Numerous studies have suggested the health benefits of a plant-based dietary pattern. However, whether this dietary pattern is associated with health benefits for centenarians remains unexplored. Our study aimed to investigate the correlation between 16 widely consumed Chinese food items and the incidence rates of chronic diseases and all-cause mortality among centenarians.

          Methods

          We conducted a dietary survey on 3372 centenarians with an average age of 102.33 y in China. After rigorous screening, we identified 2675 centenarians, who underwent a 10-y follow-up study with all-cause mortality as the primary outcome. We developed 6 dietary patterns on the basis of the food consumption frequency of each participant. To model the impact of missing values, we employed multiple imputation methods, verifying the robustness of models.

          Results

          The overall plant-based diet index (PDI), healthy plant-based diet index (hPDI), unhealthy plant-based diet index (uPDI), healthy plant-based foods index (HPF), unhealthy plant-based foods index (uHPF), and animal-based foods index (AF) scores among centenarians in China were 46.95 ± 6.29, 44.43 ± 5.76, 51.09 ± 6.26, 21.63 ± 4.79, 9.91 ± 2.41, and 14.59 ± 3.58, respectively. High scores of PDI, hPDI, and HPF were associated with a lower risk of chronic diseases. In the 10-y follow-up study, 92.90% of centenarians have died. The high scores of the PDI (HR PDI = 0.81), hPDI (HR hPDI = 0.79), and HPF (HR HPF = 0.81) scores were significantly associated with a lower risk of death compared with the low scores. Conversely, the high AF score (HR AF = 1.17) was significantly associated with a higher risk of death compared with the low scores.

          Conclusion

          Despite the fact that a higher score in both a predominantly plant-based dietary pattern and a healthy dietary pattern can decrease the death among centenarians, not all HPFs have this effect. A higher AF predicted a higher risk of mortality, whereas higher PDI, hPDI, and HPF were associated with a lower risk of mortality among Chinese centenarians.

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          Most cited references48

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          Dietary carbohydrate intake and mortality: a prospective cohort study and meta-analysis

          Summary Background Low carbohydrate diets, which restrict carbohydrate in favour of increased protein or fat intake, or both, are a popular weight-loss strategy. However, the long-term effect of carbohydrate restriction on mortality is controversial and could depend on whether dietary carbohydrate is replaced by plant-based or animal-based fat and protein. We aimed to investigate the association between carbohydrate intake and mortality. Methods We studied 15 428 adults aged 45–64 years, in four US communities, who completed a dietary questionnaire at enrolment in the Atherosclerosis Risk in Communities (ARIC) study (between 1987 and 1989), and who did not report extreme caloric intake ( 4200 kcal per day for men and 3600 kcal per day for women). The primary outcome was all-cause mortality. We investigated the association between the percentage of energy from carbohydrate intake and all-cause mortality, accounting for possible non-linear relationships in this cohort. We further examined this association, combining ARIC data with data for carbohydrate intake reported from seven multinational prospective studies in a meta-analysis. Finally, we assessed whether the substitution of animal or plant sources of fat and protein for carbohydrate affected mortality. Findings During a median follow-up of 25 years there were 6283 deaths in the ARIC cohort, and there were 40 181 deaths across all cohort studies. In the ARIC cohort, after multivariable adjustment, there was a U-shaped association between the percentage of energy consumed from carbohydrate (mean 48·9%, SD 9·4) and mortality: a percentage of 50–55% energy from carbohydrate was associated with the lowest risk of mortality. In the meta-analysis of all cohorts (432 179 participants), both low carbohydrate consumption ( 70%) conferred greater mortality risk than did moderate intake, which was consistent with a U-shaped association (pooled hazard ratio 1·20, 95% CI 1·09–1·32 for low carbohydrate consumption; 1·23, 1·11–1·36 for high carbohydrate consumption). However, results varied by the source of macronutrients: mortality increased when carbohydrates were exchanged for animal-derived fat or protein (1·18, 1·08–1·29) and mortality decreased when the substitutions were plant-based (0·82, 0·78–0·87). Interpretation Both high and low percentages of carbohydrate diets were associated with increased mortality, with minimal risk observed at 50–55% carbohydrate intake. Low carbohydrate dietary patterns favouring animal-derived protein and fat sources, from sources such as lamb, beef, pork, and chicken, were associated with higher mortality, whereas those that favoured plant-derived protein and fat intake, from sources such as vegetables, nuts, peanut butter, and whole-grain breads, were associated with lower mortality, suggesting that the source of food notably modifies the association between carbohydrate intake and mortality.
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            Novel bile acid biosynthetic pathways are enriched in the microbiome of centenarians

            Centenarians have a decreased susceptibility to ageing-associated illnesses, chronic inflammation and infectious diseases1-3. Here we show that centenarians have a distinct gut microbiome that is enriched in microorganisms that are capable of generating unique secondary bile acids, including various isoforms of lithocholic acid (LCA): iso-, 3-oxo-, allo-, 3-oxoallo- and isoallolithocholic acid. Among these bile acids, the biosynthetic pathway for isoalloLCA had not been described previously. By screening 68 bacterial isolates from the faecal microbiota of a centenarian, we identified Odoribacteraceae strains as effective producers of isoalloLCA both in vitro and in vivo. Furthermore, we found that the enzymes 5α-reductase (5AR) and 3β-hydroxysteroid dehydrogenase (3β-HSDH) were responsible for the production of isoalloLCA. IsoalloLCA exerted potent antimicrobial effects against Gram-positive (but not Gram-negative) multidrug-resistant pathogens, including Clostridioides difficile and Enterococcus faecium. These findings suggest that the metabolism of specific bile acids may be involved in reducing the risk of infection with pathobionts, thereby potentially contributing to the maintenance of intestinal homeostasis.
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              Missing Data in Clinical Research: A Tutorial on Multiple Imputation

              Missing data is a common occurrence in clinical research. Missing data occurs when the value of the variables of interest are not measured or recorded for all subjects in the sample. Common approaches to addressing the presence of missing data include complete-case analyses, where subjects with missing data are excluded, and mean-value imputation, where missing values are replaced with the mean value of that variable in those subjects for whom it is not missing. However, in many settings, these approaches can lead to biased estimates of statistics (eg, of regression coefficients) and/or confidence intervals that are artificially narrow. Multiple imputation (MI) is a popular approach for addressing the presence of missing data. With MI, multiple plausible values of a given variable are imputed or filled in for each subject who has missing data for that variable. This results in the creation of multiple completed data sets. Identical statistical analyses are conducted in each of these complete data sets and the results are pooled across complete data sets. We provide an introduction to MI and discuss issues in its implementation, including developing the imputation model, how many imputed data sets to create, and addressing derived variables. We illustrate the application of MI through an analysis of data on patients hospitalised with heart failure. We focus on developing a model to estimate the probability of 1-year mortality in the presence of missing data. Statistical software code for conducting MI in R, SAS, and Stata are provided. Les données manquantes sont un phénomène courant dans le domaine de la recherche clinique, qui survient lorsque les résultats pour des variables d'intérêt ne sont pas mesurés ou consignés pour tous les sujets d'un échantillon. Les approches courantes adoptées pour pallier les données manquantes comprennent les analyses de cas complètes, dans lesquelles tous les sujets pour lesquels des données sont manquantes sont exclus de l'analyse, et l'imputation par la moyenne, dans laquelle les valeurs manquantes sont remplacées par la valeur moyenne rapportée pour cette variable chez les sujets chez lesquels ces résultats ont été recueillis. Toutefois, dans de nombreux contextes, ces approches peuvent donner lieu à des estimations biaisées des statistiques (p. ex. des coefficients de régression) ou à des intervalles de confiance artificiellement étroits. L'imputation multiple est une approche populaire pour remédier aux données manquantes. Selon cette méthode, des valeurs plausibles multiples pour une variable donnée sont attribuées ou imputées pour chacun des sujets pour lesquels les résultats pour ladite variable sont manquants. Il en résulte la création de multiples groupes de données complètes. Des analyses statistiques identiques sont effectuées à partir de chacun de ces groupes de données complètes, et les résultats sont regroupés pour les différents groupes de données complètes. Cet article offre une introduction à l'imputation multiple, et aborde les difficultés liées à son utilisation, notamment l’élaboration du modèle d'imputation, le nombre de groupes de données imputables à créer, et les variables dérivées qui doivent être considérées. L'application de l'imputation multiple sera illustrée au moyen d'une analyse des données pour des patients hospitalisés atteints d'insuffisance cardiaque. Le modèle suggéré aura pour objectif d'estimer la probabilité de mortalité à 1 an en présence de données manquantes. Les codes pour les logiciels statistiques utilisés pour l'imputation multiple (R, SAS et Stata) sont fournis.
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                Author and article information

                Contributors
                Journal
                Curr Dev Nutr
                Curr Dev Nutr
                Current Developments in Nutrition
                American Society for Nutrition
                2475-2991
                19 December 2023
                January 2024
                19 December 2023
                : 8
                : 1
                : 102065
                Affiliations
                [1 ]Department of Health Management, Faculty of Military Health Service, Naval Medical University, Shanghai, China
                [2 ]Clinical Research Unit, School of Medicine, Shanghai 9th People's Hospital Affiliated to Shanghai JiaoTong University, Shanghai, China
                [3 ]Department of Medical Service, Naval Hospital of Eastern Theater, Zhoushan, China
                [4 ]College of Health Management, Southern Medical University, Guangzhou, China
                Author notes
                []Corresponding author. yuanleigz@ 123456163.com
                [†]

                LY, QQJ, YZ, and ZZ, contributed equally as co-first authors.

                [‡]

                LY, FH, YQ, and JS contributed equally as co-corresponding authors

                Article
                S2475-2991(23)26649-4 102065
                10.1016/j.cdnut.2023.102065
                10792746
                38234579
                78e4ecf2-beeb-48d8-8829-2da113f48052
                © 2023 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 2 August 2023
                : 12 December 2023
                : 15 December 2023
                Categories
                Original Research

                plant-based diet,animal-based diet,all-cause mortality,chronic diseases,centenarians,china

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