ArticleBMC public health2023
The impact of high-risk lifestyle factors on all-cause mortality in the US non-communicable disease population.
Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.
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
24 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Global performance of machine learning models to predict all-cause mortality: systematic review and meta-analysis.Scientific reports · 2025Pooled it
- Lipidomics in Periodontal Disease Research: A Systematic Review.Current medicinal chemistry · 2025Pooled it
- Sleep quality and associated factors among university students in Africa: a systematic review and meta-analysis study.Frontiers in psychiatry · 2024Pooled it
- Interactive Digital Visualization Counseling for Lifestyle Change in Patients at Risk of Cardiovascular Diseases: Randomized Controlled Trial.JMIR public health and surveillance · 2026Trial
- Education of Residents Improves Frequency and Alignment of Evidence-Based Lifestyle Interventions.American journal of lifestyle medicine · 2026Article
- Knowledge, attitude and practice of healthy lifestyle among primary care registered population in Qatar: A cross sectional study.Journal of public health research · 2026Article
- Premature mortality from cardio-cerebrovascular diseases in Bogotá an analytical machine learning approach.Scientific reports · 2026Article
- Article
- Validation of a Slovenian version of the Healthy Lifestyle and Personal Control Questionnaire (HLPCQ) for use with patients in family medicine.BMC public health · 2025Article
- Impact on Metabolism Generated by Surgical and Pharmacological Interventions for Weight Loss in Women with Infertility.Metabolites · 2025Review
- Italian Hygiene and Preventive Medicine Medical Doctor Residents' interest in a Preventive Medicine Physician: a national survey.Journal of preventive medicine and hygiene · 2025Article
- Article
- Association of systemic inflammatory response index with all-cause and malignant neoplasm mortality in patients with gastrointestinal disease.Translational cancer research · 2025Article
- Evaluating the differences in healthy lifestyle behaviors between Chinese urban and rural residency after the termination of social distancing: analysis based on propensity score matching.BMC public health · 2025Article
- Atherosclerosis and the Bidirectional Relationship Between Cancer and Cardiovascular Disease: From Bench to Bedside, Part 2 Management.International journal of molecular sciences · 2025Review
- Article
- Lifestyle Factors and Associations with Individual and Comorbid Cardiometabolic and Pulmonary Disease Among U.S. Adults.International journal of environmental research and public health · 2024Article
- Role of Nonalcoholic Fatty Liver Disease in Periodontitis: A Bidirectional Relationship.Cureus · 2024Review
- Electronic Health Literacy Scale-Web3.0 for Older Adults with Noncommunicable Diseases: Validation Study.Journal of medical Internet research · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundPrevious studies have suggested that lifestyle factors are associated with mortality in different population. However, little is known about the impact of lifestyle factors on all-cause mortality in non-communicable disease (NCD) population.
methodsThis study included 10,111 NCD patients from the National Health Interview Survey. The potential high-risk lifestyle factors were defined as smoking, excessive drinking, abnormal body mass index, abnormal sleep duration, insufficient physical activity (PA), overlong sedentary behavior (SB), high dietary inflammatory index (DII) and low diet quality. Cox proportional hazard model was used to evaluate the impact of the lifestyle factors and the combination on all-cause mortality. The interaction effects and all combinations of lifestyle factors were also analyzed.
resultsDuring 49,972 person-years of follow-up, 1040 deaths (10.3%) were identified. Among eight potential high-risk lifestyle factors, smoking (HR = 1.25, 95% CI 1.09-1.43), insufficient PA (HR = 1.86, 95% CI 1.61-2.14), overlong SB (HR = 1.33, 95% CI 1.17-1.51) and high DII (HR = 1.24, 95% CI 1.07-1.44) were risk factors for all-cause mortality in the multivariable Cox proportional regression. The risk of all-cause mortality was increased linearly as the high-risk lifestyle score increased (P for trend < 0.01). The interaction analysis showed that lifestyle had stronger impact on all-cause mortality among patients with higher education and income level. The combinations of lifestyle factors involving insufficient PA and overlong SB had stronger associations with all-cause mortality than those with same number of factors.
conclusionSmoking, PA, SB, DII and their combination had significant impact on all-cause mortality of NCD patients. The synergistic effects of these factors were observed, suggesting some combinations of high-risk lifestyle factor may be more harmful than others.
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.