Association between different composite dietary antioxidant indexes and low back pain in American women adults: a cross-sectional study from NHANES

• Published in: BMC public health Vol. 24; no. 1; pp. 147 - 9
• Main Authors: Feng, Chaoqun, Yao, Junjie, Xie, Yizhou, Yang, Fei, Fan, Xiaohong
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 10.01.2024; BioMed Central; BMC
• Subjects: Adult; Adults; Analysis; Antioxidant; Antioxidants; Back pain; Backache; Biomarkers; Body mass index; Care and treatment; Composite dietary antioxidant index (CDAI); Confounding (Statistics); Cross-Sectional Studies; Datasets; Diet; Female; Females; Food habits; Gender; Health aspects; Humans; Low back pain; Low Back Pain - epidemiology; National Health and Nutrition Examination Survey ( NHANES); Nutrition research; Nutrition Surveys; Obesity; Oxidative stress; Pain; Patient outcomes; Quartiles; Questionnaires; Regression analysis; Regression models; Selenium; Smoking; Subgroups; Type 2 diabetes; China; United States > US; Oxidative stress; National Health and Nutrition Examination Survey ( NHANES); Antioxidant; Composite dietary antioxidant index (CDAI); Low back pain
• ISSN: 1471-2458; 1471-2458
• DOI: 10.1186/s12889-024-17649-0

Low back pain is the leading cause of productivity loss, imposes a significant economic burden on the patients and society. Oxidative stress is considered a critical factor in the complex pathophysiological process and pathogenic mechanism of low back pain. Adjustment dietary pattern can effectively increase antioxidant biomarkers levels within the body to reduce oxidative stress. The composite dietary antioxidant index (CDAI) serves a reliable scoring system for quantifying the potential dietary antioxidant capacity of daily diets. We aim to investigate the potential association between CDAI and low back pain, in order to enhance the management of low back pain through dietary guidance. This study included 17,682 participants from the National Health and Nutrition Examination Survey (NHANES) 1999-2000, 2001-2002, 2003-2004 and 2009-2010. The weighted logistic regression model was used to investigate the association between CDAI and low back pain, while restricted cubic spline (RCS) was employed to examine non-linear trend and cutoffs. After adjusting for all confounders, the results showed that there was no significant association between CDAI and low back pain. However, individuals in the highest quartile of CDAI exhibited an 11.7% less likelihood of experiencing a low back pain than those in the lowest quartile (OR = 0.883; 95% CI [0.787,0.991], P = 0.034), and the trend test was also significant (P for trend < 0.001). RCS indicated a linear relationship between CDAI and low back pain (P for non-linear = 0.876). Gender subgroup analysis showed that this negative association was significant in the female population (OR = 0.983; 95% CI [0.968, 0.998], P = 0.027), and females in the highest quartile of CDAI were 19.7% less likely to suffer low back pain than those in the lowest quartile (OR = 0.803; 95% CI [0.682,0.945], P = 0.008). Additionally, the changes in zinc (OR = 1.009; 95% CI [1.002, 1.016], P = 0.015) and selenium (OR = 0.379; 95% CI [0.164, 0.875], P = 0.023) per milligram were independently associated with low back pain. The fully adjusted model showed no significant association between CDAI and low back pain, but it was significant in quartiles. Meanwhile, subgroup analysis by gender revealed a negative association between CDAI and low back pain in the female population. Additionally, the findings of this study also suggested that the antioxidant diets should be studied in a dietary pattern context.