ArticleIntegrative cancer therapies
Diet Habits, Smoking, and Alcohol Consumption Among Chinese Patients with Cancer.
Article in Integrative cancer therapies. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- The distress of psychological adaptation in nutritional management among people after esophagectomy: an interpretative phenomenological study.Frontiers in nutrition · 2026Article
- Advancing Integrative Oncology: Methodological Refinements in TCM-Informed Lifestyle Research for Chinese Patients With Cancer.Integrative cancer therapiesArticle
- Letter to the Editor: Response to "Advancing Integrative Oncology: Methodological Refinements in TCM-Informed Lifestyle Research for Chinese Patients With Cancer".Integrative cancer therapiesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCancer remains a significant public health problem in China, with new cases and cancer-related deaths increasing in recent years. This study examines the dietary habits, smoking, and alcohol consumption patterns among Chinese patients with cancer, and explores factors influencing these lifestyle behaviors.
methodsSecondary data analysis was conducted on a cross-sectional survey of 287 cancer patients from an oncology outpatient clinic in central China. Patients self-reported their current dietary habits, smoking, and alcohol use and recalled their habits prior to their cancer diagnosis. Responses were assessed using a Likert scale ranging from "never = 0" to "often = 3." The survey specifically measured the frequency of consuming red meat, seafood, milk, tofu, spicy foods, and "balanced yin-yang foods," as well as alcohol consumption and smoking. Data were analyzed using descriptive statistics, Wilcoxon signed rank tests, and logistic regression.
resultsPatients reported significant reductions in smoking and alcohol consumption post-diagnosis, with a 60% decrease compared to pre-diagnosis levels. Dietary changes included reduced intake of red meat, seafood, tofu, spicy foods, and milk, alongside increased adherence to a balanced yin-yang diet. Both Cultural/TCM beliefs and symptom-related factors significantly shape those lifestyle behaviors. The influence of TCM was particularly notable. Patients with strong TCM beliefs were associated with reduced alcohol consumption and decreased intake of seafood, tofu, and milk.
conclusionsFollowing a cancer diagnosis, Chinese patients made significantnotable changes to their smoking, alcohol consumption, and dietary habits; adopting healthier lifestyle behaviors. Oncology physicians and nurses should adhere to updated clinical guidelines on nutrition in cancer survivorship and integrate TCM principles to provide tailored lifestyle education and support.
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.