Potential changes of nutritional self-efficacy in patients with lung cancer before and after surgery

Shi Liangliang; Chen Yan; Zhao Baofang; Kang Congying

doi:10.16689/j.cnki.cn11-9349/r.2026.02.005

PDF(1199 KB)

Electronic Journal of Metabolism and Nutrition of Cancer ›› 2026, Vol. 13 ›› Issue (2) : 203-210. DOI: 10.16689/j.cnki.cn11-9349/r.2026.02.005

Original Articles

Potential changes of nutritional self-efficacy in patients with lung cancer before and after surgery

Shi Liangliang, Chen Yan, Zhao Baofang, Kang Congying

Author information +

History +

Abstract

Objective To explore the changing trend of potential categories of nutritional self-efficacy in lung cancer patients before and after radical surgery over time and analyze its influencing factors. Method Convenience sampling method was used to select lung cancer patients admitted to the Sixth People's Hospital of Nantong from January 2024 to April 2025 as the research objects. The general information questionnaire and Nutritional Self-Efficacy Scale were used to measure the enrolled research objects at admission/before surgery (T₁) and after surgery/before discharge (T₂) for potential transformation analysis. Result 178 patients completed the investigation. Before and after the operation, it can be divided into two potential categories: the high-nutrition self-efficacy group and the low-nutrition self-efficacy group. The stability of the low-nutrition self-efficacy group was strong, and the probability of maintaining the original group was 0.813. Lung cancer patients in the high-nutrition self-efficacy group tended to transform to the low-nutrition self-efficacy group over time, and the transformation probability was 29.8%. The results of Logistic regression analysis show that: Patients with a primary school education or below (OR=1.219), a nutritional risk score of ≥3 (OR=2.215), living alone (OR=1.826), and low social support (OR=1.734) had an increased probability of changing from the high nutritional self-efficacy group to the low nutritional self-efficacy group. However, the probability of patients with a high social support factor (OR=0.522) changing from the high nutritional self-efficacy group to the low nutritional self-efficacy group decreased. Patients with high social support (OR=1.550) had an increased probability of transitioning from the low-nutrition self-efficacy group to the high-nutrition self-efficacy group, while patients living alone (OR=0.347) had a decreased probability of transitioning from the low-nutrition self-efficacy group to the high-nutrition self-efficacy group. Conclusion Lung cancer patients with an educational background of primary school or below, with nutritional risks and a BMI lower than 18.5 kg/m² are more likely to be in the low nutritional self-efficacy group. This suggests that clinical medical staff should attach importance to the above-mentioned high-risk groups. They should strengthen nutritional education and individualized support at an early stage to prevent the transformation of their nutritional self-efficacy from high to low and stabilize the nutritional management of the low-efficiency group.

Key words

Lung cancer / Surgery / Nutritional self-efficacy / Potential profile analysis / Potential transformation analysis / Risk factors

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Shi Liangliang, Chen Yan, Zhao Baofang, Kang Congying. Potential changes of nutritional self-efficacy in patients with lung cancer before and after surgery[J]. Electronic Journal of Metabolism and Nutrition of Cancer. 2026, 13(2): 203-210 https://doi.org/10.16689/j.cnki.cn11-9349/r.2026.02.005

References

[1] DUAN J, FANG W, XU H, et al. Chinese expert consensus on the diagnosis and treatment of bone metastasis in lung cancer (2022 edition)[J]. J Natl Cancer Cent, 2023,3(4):256-265.
[2] BRAY F, LAVERSANNE M, SUNG H, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA Cancer J Clin, 2024,74(3):229-263.
[3] MA Z, LV J, ZHU M, et al. Lung cancer risk score for ever and never smokers in China[J]. Cancer Commun (Lond), 2023,43(8):877-895.
[4] HE B, ZHAO X, PU Y, et al. Trends and projection of burden on lung cancer and risk factors in China from 1990 to 2060[J]. Thorac Cancer, 2024,15(22):1688-1704.
[5] WANG L, QI Y, LIU A, et al. Opportunistic screening with low-dose computed tomography and lung cancer mortality in China[J]. JAMA Netw Open, 2023,6(12):e2347176.
[6] CHEN S H, ACTON G, SHAO J H. Relationships among nutritional self-efficacy, health locus of control and nutritional status in older Taiwanese adults[J]. J Clin Nurs, 2010,19(15-16):2117-2127.
[7] NASSIM G, REDMOND M L, OFEI-DODOO S, et al. Nutrition self-efficacy and dietary patterns among older African American women in Kansas[J]. Kans J Med, 2020,13:209-213.
[8] HALDEMAN L. Emphasizing nutrition self-efficacy in uncertain times[J]. J Nutr Educ Behav, 2025,57(4):262.
[9] STEWART-KNOX B J, POINHOS R, FISCHER A R, et al. Association between nutrition self-efficacy, health locus of control and food choice motives in consumers in nine European countries[J]. J Health Psychol, 2025,30(3):543-558.
[10] 中华医学会肿瘤学分会, 中华医学会杂志社. 中华医学会肿瘤学分会肺癌临床诊疗指南(2021版)[J]. 中华医学杂志, 2021,101(23):1725-1757.
[11] 倪平, 陈京立, 刘娜. 护理研究中量性研究的样本量估计[J]. 中华护理杂志, 2010,45(4):378-380.
[12] 张帆, 朱树贞, 邓平基. 领悟社会支持量表在国内住院病人社会支持研究中的应用评价[J]. 护理研究, 2018,32(13):2048-2052.
[13] SHAMSALINIA A, GHADIMI R, CHAFJIRI R T, et al. Nutrition self-efficacy assessment: designing and psychometric evaluation in a community-dwelling elderly population[J]. J Health Popul Nutr, 2019,38(1):38.
[14] 雒培琳, 万君丽, 卞薇. 营养自我效能量表的汉化及在老年慢性眼病患者中的Rasch模型分析[J]. 护理学杂志, 2023,38(14):106-111.
[15] PORRO C, LA TORRE M E, TARTAGLIA N, et al. The potential role of nutrition in lung cancer establishment and progression[J]. Life (Basel), 2022,12(2):270.
[16] MOON J, MUN Y. The association between per- and polyfluoroalkyl substances (PFASs) and brain, esophageal, melanomatous skin, prostate, and lung cancer using the 2003-2018 US National Health and Nutrition Examination Survey (NHANES) datasets[J]. Heliyon, 2024,10(2):e24337.
[17] TU J, WU B, XIU J, et al. Advanced lung cancer inflammation index is associated with long-term cardiovascular death in hypertensive patients: national health and nutrition examination study, 1999-2018[J]. Front Physiol, 2023,14:1074672.
[18] NIGRO E, PERROTTA F, SCIALO F, et al. Food, nutrition, physical activity and microbiota: which impact on lung cancer?[J]. Int J Environ Res Public Health, 2021,18(5):2399..
[19] LIU C A, LIU T, LI H C, et al. Nutrition impact symptoms: Noteworthy prognostic indicators for lung cancer[J]. Clin Nutr, 2023,42(4):550-558.
[20] KISS N, CURTIS A. Current insights in nutrition assessment and intervention for malnutrition or muscle loss in people with lung cancer: a narrative review[J]. Adv Nutr, 2022,13(6):2420-2432.
[21] DONG P, LI W, DENG J, et al. Relationship between hemoglobin and lung cancer: evidence from Mendelian randomization and National Health and Nutrition Examination Survey[J]. Clin Transl Oncol, 2024,26(3):623-629.
[22] 赵筱晗,李萍,侯铭,等.乳腺癌术后化疗病人症状特征潜在剖面与支持性照护需求的关系[J].护理研究,2026,40(5):828-835.
[23] PHILLIPS A, BUCHER T, PRISTIJONO P, et al. The relationship between diet quality, nutrition self-efficacy and sources of nutrition information in Australian pregnant women: a cross-sectional analysis[J]. Am J Health Promot, 2025,39(7):1027-1036.
[24] 赵慧, 李方, 朱媛. 老年肺癌患者术后症状群发生情况及其影响因素[J]. 中华老年多器官疾病杂志, 2025,24(4):255-259.
[25] HUANG Q, LIN L, LI J, et al. Associations between advanced lung cancer inflammation index and chronic pain: insights from National Health and Nutrition Examination Survey (NHANES) 1999-2004[J]. Immun Inflamm Dis, 2024,12(11):e70053.
[26] ERCIYESTEPE M, SELVI O, DINC S S, et al. Prognostic value of inflammation and nutrition-based scores in non-small cell lung cancer[J]. Med Princ Pract, 2024,33(2):122-132.
[27] CHAMBERS A, DAMONE E, CHEN Y T, et al. Social support and outcomes in older adults with lung cancer[J]. J Geriatr Oncol, 2022,13(2):214-219.
[28] MA Q, LUO J, CAO H, et al. Social support, health behavior self-efficacy, and anxiety on physical activity levels among lung cancer survivors: a structural equation modeling[J]. J Cancer Surviv, 2026.20(1):1-11.
[29] ZHANG Y, DING Y, LIU C, et al. Relationships among perceived social support, family resilience, and caregiver burden in lung cancer families: a mediating model[J]. Semin Oncol Nurs, 2023,39(3):151356.