ArticleBMC public health2024
The global burden of cardiovascular disease attributable to diet low in fiber among people aged 60 years and older, 1990-2019: an age-period-cohort analysis of the global burden of disease study.
Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Associations between White Meat-Only and Vegetarian Diets with Mortality from All Causes, Heart Diseases, Cancers, and Stroke in the American Cancer Society's Cancer Prevention Study-II.Current developments in nutrition · 2026Article
- The Nutritional Status of Patients with Heart Failure and Its Impact on Patient' Outcomes-The Center's Own Experience.Nutrients · 2025Article
- Emerging therapy targets to modulate microbiome-mediated effects evident in cardiovascular disease.Frontiers in cardiovascular medicine · 2025Review
- Exploring the stroke burden linked to Kidney dysfunction: trends, predictive insights, and health inequalities.Frontiers in neurology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study aimed to quantify the global cardiovascular disease (CVD) burden attributable to diet low in fiber among adults aged 60 years and older using data from the Global Burden of Disease (GBD) Study 2019.
methodsWe extracted data on CVD mortality, disability-adjusted life-years (DALYs), and risk-factor exposures from the GBD 2019 study for people aged 60 and older. Age-period-cohort models were used to estimate the overall annual percentage change in mortality and DALY rate (net drift, % per year), mortality and DALY rate for each age group from 1990 to 2019 (local drift, % per year), longitudinal age-specific rate corrected for period bias (age effect), and mortality and Daly rate for each age group from 1990 to 2019 (local drift, % per year). And period/cohort relative risk (period/cohort effect).
resultsFrom 1990 to 2019, global age-standardized cardiovascular disease (CVD) mortality rates attributable to low dietary fiber intake decreased by 2.37% per year, while disability-adjusted life years (DALYs) fell by 2.48% annually. Decreases were observed across all sociodemographic index regions, with fastest declines in high and high-middle SDI areas. CVD mortality and DALY rates attributable to low fiber increased exponentially with age, peaking at 85-89 years, and were higher in men than women. Regarding period effects, mortality and DALY rates declined since 2000, reaching nadirs in 2015-2019. For birth cohort patterns, risks attributable to low fiber intake peaked among early 1900s births and subsequently fell, with more pronounced reductions over time in women.
conclusionsLow dietary fiber intake is a leading contributor to the global cardiovascular disease burden, accounting for substantial mortality and disability specifically among older adults over recent decades.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.