Background: The Andersen model was utilized to identify differences in the predictors of quality of life (QOL) between people who eat alone and those who do not. Methods: Data of 5,432 adults who responded to a question about having company for meals from the 2016 KNHANES were analyzed. Using the Andersen model, the parameters were classified into predisposing factors, enabling factors, need factors, and health behaviors; differences in the influences of each parameter category on QOL, depending on company during meals, were analyzed using logistic regression. Results: Individuals who ate alone included higher percentages of older women living alone, people with no medical aid or private insurance membership, low education and income, more chronic diseases, poorer perceived health, activity restrictions and unmet health care needs, and smoking and drinking, and lower health examination rates. Differences in the predictors of each domain of health-related QOL (HRQOL) were analyzed according to the absence of company during meals. Perceived health status was a predictor of all domains of HRQOL regardless of eating alone or not; age, activity restrictions, sex, and number of chronic diseases predicted two to four domains of QOL. Factors predicting QOL only among individuals who ate alone were sex (mobility, self-care, and usual activities), number of chronic diseases and health examination (pain/discomfort), and private insurance membership (anxiety/depression). Conclusion: The results verify the potential of using the Andersen model for measuring HRQOL. These findings highlight the need for tailored welfare services, social policies, and programs for people who eat without company.