PloS one · 2023
Social cognitive predictors of regular dental visits and mouth self-examination behaviors among the elderly population: An application of the health action process approach model.
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Moghaddam Fatemeh, Sargeran Katayoun, Gholami Mahdia, Jamali Jamshid, Shamshiri Ahmadreza
Аннотация
OBJECTIVE: The present study aimed to identify the social cognitive predictors of regular dental visits and mouth self-examination behaviors among the elderly population, based on the Health Action Process Approach (HAPA) model.
BACKGROUND: Regular dental visits and mouth self-examination can prevent oral and dental problems among the elders. Little information is available regarding the social cognitive predictive factors of these two behaviors.
MATERIALS AND METHODS: A cross-sectional study was conducted in 24 municipality centers in Tehran, Iran in 2021. The centers were selected randomly using a multi-stage cluster sampling method and 301 elderly attendants aged 60≥years participated in the study. Data collection was done using a researcher-made questionnaire including demographic characteristics and the HAPA model constructs for two target behaviors. Data were analyzed using the Smart-PLS version 3.3.9 via correlation and PLS-SEM analysis.
RESULTS: The mean age of the participants was 65.3±5.33 years and 79.7% were female. The SEM analysis showed that Action Self-Efficacy [b (SD) = 0.595 (0.065), P< 0.001] and Risk Perception [b (SD) = 0.218 (0.070), P< 0.002] were predictors of Intention for mouth self-examination but only Action Self-Efficacy [b (SD) = 0.651 (0.043), P< 0.001] was predictor of Intention for regular dental visits. Recovery Self-Efficacy and Planning directly contributed to the prediction of Mouth Self-Examination. The relationship between Maintenance Self-Efficacy and both behaviors is mediated by Planning. Also, the mediating role of Planning between Intention and target behaviors was confirmed.
CONCLUSION: Action self-efficacy predicted the intention for regular dental visits and mouth self-examination behaviors. The relationship between intention and both behaviors was mediated by Planning. Emphasis on improving Action Self-Efficacy and Intention formation will enhance the effectiveness of interventions aiming at promoting the oral health of the elderly population.
BACKGROUND: Regular dental visits and mouth self-examination can prevent oral and dental problems among the elders. Little information is available regarding the social cognitive predictive factors of these two behaviors.
MATERIALS AND METHODS: A cross-sectional study was conducted in 24 municipality centers in Tehran, Iran in 2021. The centers were selected randomly using a multi-stage cluster sampling method and 301 elderly attendants aged 60≥years participated in the study. Data collection was done using a researcher-made questionnaire including demographic characteristics and the HAPA model constructs for two target behaviors. Data were analyzed using the Smart-PLS version 3.3.9 via correlation and PLS-SEM analysis.
RESULTS: The mean age of the participants was 65.3±5.33 years and 79.7% were female. The SEM analysis showed that Action Self-Efficacy [b (SD) = 0.595 (0.065), P< 0.001] and Risk Perception [b (SD) = 0.218 (0.070), P< 0.002] were predictors of Intention for mouth self-examination but only Action Self-Efficacy [b (SD) = 0.651 (0.043), P< 0.001] was predictor of Intention for regular dental visits. Recovery Self-Efficacy and Planning directly contributed to the prediction of Mouth Self-Examination. The relationship between Maintenance Self-Efficacy and both behaviors is mediated by Planning. Also, the mediating role of Planning between Intention and target behaviors was confirmed.
CONCLUSION: Action self-efficacy predicted the intention for regular dental visits and mouth self-examination behaviors. The relationship between intention and both behaviors was mediated by Planning. Emphasis on improving Action Self-Efficacy and Intention formation will enhance the effectiveness of interventions aiming at promoting the oral health of the elderly population.