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The impact of socioeconomic status, general health and oral health on Health-Related Quality of Life, Oral Health-Related Quality of Life and mental health among Polish older adults
BACKGROUND: The study aims to evaluate the impact of socioeconomic status, general health and oral health parameters on Health-Related Quality of Life (HRQoL), Oral Health-Related Quality of Life (OHRQoL) and mental health in elderly urban residents of South-Western Poland. METHODS: The 500 resident...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722217/ https://www.ncbi.nlm.nih.gov/pubmed/34979959 http://dx.doi.org/10.1186/s12877-021-02716-7 |
Sumario: | BACKGROUND: The study aims to evaluate the impact of socioeconomic status, general health and oral health parameters on Health-Related Quality of Life (HRQoL), Oral Health-Related Quality of Life (OHRQoL) and mental health in elderly urban residents of South-Western Poland. METHODS: The 500 residents of Wroclaw, aged 65 and older provided demographic and personal information as well as their medical history. A patient's oral condition were determined based on the clinical oral examination.Quality of Life was assessed using Euro-Quality of Life (EQ-5D), Oral Health Impact Profile-14 (OHIP-14) and Patient Health Questionnaire (PHQ-9).The association between exposure (socioeconomic status, general health and oral health) and outcome (HRQoL, OHRQoL and mental health variables) were analyzed with the use of four models: P – Poisson model, NB-Negative Binomial model, ZIP – Zero Inflated Poisson model, ZINB – Zero Inflated Negative Binomial model. RESULTS: The best model turned out to be the ZINB model, in which a negative binomial distribution in the count equation is assumed. In this model, only 13 independent variables had a significant effect on HRQoL, OHRQoL, and mental health. HRQoL assessed with the EQ-5D is significantly influenced by: living conditions 0.133 (95% CI: 0.001, 0.267, p = 0.049), income -0.348 (95%CI: -0.466, -0.230, p < 0.001), diabetes mellitus 0.437 (95%CI: 0.250, 0.624, p < 0.001), myocardial infarction 0.454 (95% CI: 0.151, 0.757, p = 0.003), stroke 0.543 (95%CI: 0.094, 0.992, p = 0.018) and renal disease 0.466 (95% CI: 0.206, 0.726, p < 0.001). Factors negatively affecting OHRQOL are: the need for oral treatment 0.278 (95%CI: 0.104, 0.452, p = 0.002), the number of missing teeth 0.053 (95%CI: 0.039, 0.067, p < 0.001) and gender 0.271 (95%CI: 0.015, 0.527, p = 0.038) and age -0.025 (95%CI: -0.042, -0.008, p = 0.003). An important factor influencing the level of depression assessed by the PHQ-9 questionnaire may be the material condition -0.225 (95%CI: -0.349, -0.101, p < 0.001). It should be emphasized that living with other people may be a factor that significantly increases the probability of avoiding the occurrence of depression symptoms. CONCLUSION: The study concerning elderly residents of the macroregion in Poland found the impact of socioeconomic, general health and oral health parameters on Health-Related Quality of Life, Oral Health-Related Quality of Life and mental health. Research on the quality of life of the elderly at the local level allowed to assess the factors linked to quality of life of older adults. |
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