Abstract Background To determine if periodontal risk assessment (PRA), the number of missing teeth, diabetes mellitus (DM), perceived stress and interproximal cleaning are associated with oral health-related quality of life (OHRQoL), using Andersen’s behavioral modelling (ABM). Material and methods Data derived from 472 adults derived from a representative population of the Study of Periodontal Health in Almada-Seixal (SoPHiAS) was used. Socioeconomic status, perceived stress scale (PSS-10), oral health behaviors and oral health impact profile (OHIP-14) were collected through questionnaire. Periodontal conditions were assessed with a full-mouth periodontal examination. PRA was computed through behavioral and clinical information. Variables were grouped into Predisposing Factors, Enabling, Need, Oral Health Behaviors and Perceived Health Outcome latent variables. Confirmatory factor analysis, structural ABM and model fitness were conducted. Results ABM applied to OHIP-14 showed acceptable model fit (χ² = 2.75, CFI = 0.92, TLI = 0.90, RMSEA = 0.05, CI 90% [0.04–0.07]). The average of OHRQoL was 9.5 ± 11.3. Patient with periodontitis and with a high number of missing teeth experienced worse OHRQoL. Uncontrolled DM participants had more periodontal treatment necessity and poorer OHRQoL. Characteristic like aging and lower levels of education were directly associated with better OHRQoL, but in indirect path the OHRQoL was diminishes. Good oral hygiene and preventative measures were associated to lower periodontal treatment necessity. Lower periodontal treatment necessity was associated to higher OHRQoL. Age, tooth loss and interproximal cleaning were the most associated items to Predisposing, Need and Oral Health Behaviors, respectively. Conclusion ABM confirmed age, number of missing teeth, DM, interproximal cleaning and perceived stress as associated factors for OHRQoL. Uncontrolled DM was associated to higher Need and poorer OHRQoL. Good oral hygiene habits promote a healthy periodontium and, consequently, increases OHRQoL.