Diverse dietary constituents, encompassing both macro- and micronutrient intakes, have established connections with various cancers, though their specific roles in cervical cancer remain unclear. This study explores dietary intake correlations among women aged 30 yrs and above diagnosed with cervical cancer (n = 215), contrasted with women without (n = 860). These populations were selected from the 1999-2018 cycle of the National Health and Nutrition Examination Survey. The research implemented the univariate analysis and the least absolute shrinkage and selection operator (LASSO) regression to estimate the association of 29 variables with cervical cancer, subsequently identifying the most pertinent variables linked to cervical cancer. Six covariates emerged as significantly associated with cervical cancer in univariate analyses (age, race, fiber, magnesium, caffeine, vitamin C) (p < 0.05). In LASSO regression, with the escalating penalty factor (λ), it was discerned that specific covariates, including age, race, fiber, and Vitamin C, consistently remained in the model. Univariate analysis and logistic LASSO regression findings suggested that diets deficient in fiber and vitamin C were related to cervical cancer.