Behavioral Quality Of Life Research Articles

Clinical Study of Oral Mucosal Lesions in the Elderly-Prevalence and Distribution.

Background: The aim of the study was to determine the prevalence, pattern, and distribution of oral mucosa lesions in elderly patients attending an outpatient oral pathology clinic. Methods: A retrospective analysis of 2747 patients’ medical files was performed. Of these, 1398 (50.6%) belonged to seniors. The mean age was 69.8 ± 7.1, and women were in the majority. Results: Among the entire group of patients, the three most common mucosal lesions were: oral lichenoid diseases (OLDs), lingual changes, and small nodules. In the female group, the most common diagnoses were: OLDs, lingual changes, and oral candidiasis; in the male population, the most common diagnoses were: lingual changes, small nodules, and OLDs. Those suffering from OLDs were the youngest patients, and those with focal oral mucosa erosions and ulcerations were the oldest patients. In the groups aged 60–70 and 71–80 years old, the most common diagnoses were OLDs, and in the oldest group (+80 years old), they were lingual lesions. Conclusions: Oral health has an obvious impact on the functional, psychological, and behavioral quality of life. There is a small number of publications concerning the prevalence and distribution of oral mucosa lesions in the senior population of European countries. Our study is filling in that void.

Behavioral and emotional quality of life of patients undergoing inpatient geriatric rehabilitation.

In the context of geriatric rehabilitation, 2 quality of life (QoL) facets are of particular importance: a behavioral, more objective facet, and an emotional, more subjective facet. This study looked at changes in these 2 QoL facets during rehabilitation, their relationship to each other and potential mediating processes. Ninety-two geriatric patients were assessed by the geriatric assessment and a structured face-to-face interview at admission to and discharge from an inpatient geriatric rehabilitation ward. Behavioral QoL was measured in terms of independence in the activities of daily living and mobile abilities, while positive and negative affect represented emotional QoL. As potential mediators, self-perceptions of health (self-rated health, subjective pain, temporal health comparison) were assessed. Statistical analysis comprised repeated-measures (multivariate) analyses of variance as well as regression and mediation analyses based upon a fixed effects-panel model. All behavioral and emotional QoL indicators showed significant prepost improvements. During rehabilitation, changes in behavioral QoL were significantly related to changes in emotional QoL. Multiple regression of changes in emotional QoL on changes in behavioral QoL and in self-perceptions of health revealed, however, that only health perceptions significantly predicted emotional QoL. Mediation analysis showed that self-perceptions of health fully mediated the relationship between behavioral and emotional QoL outcomes. During geriatric rehabilitation, significant progress can be made regarding QoL. The results indicate that the influence of physical progress on affective improvements is conveyed through self-perceptions of health, showing the importance of self-perceptions of health for emotional QoL in geriatric rehabilitation. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Clinical determinants associated with quality of life for people who live with HIV/AIDS: a Meta-analysis

BackgroundDuring recent years, Quality of Life (QoL) is a significant assessment factor in clinical trials and epidemiological researches due to the advent of Antiretroviral Therapy (ART), Human Immunodeficiency Virus (HIV) has become a manageable,chronic disease. With regards, more attention must be paid to the QoL of infected patients. Limited evidence exists on the impact of ART on QoL among HIV infected patients. Due to lacking of a systematic approach to summarizing the available evidence on the clinical determinants of People Who Live with HIV/AIDS (PWLHs’) QoL, this study aimed to analyze the impact of clinical determinants (ART experience, CD4 count < 200, co-morbidities, time diagnosis and accessibility to cares) on QoL among PWLHs’.MethodsThis study was designed in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). PubMed, Science Direct, Web of Science, and Cochrane electronic databases were searched in February 2017 to identify all past studies that discussed social and behavioral characteristics of QoL in PLWHA. To recognize effective factors on social and behavioral QoL, a meta-analysis was conducted. Polled Odds Ratios (ORs) were utilized at a 95% confidence level. Since sampling methods differed between articles in the systematic review, we evaluated pooled estimates using a random effect model. Metan, metareg, metacum, and metabias commands in STATA version 13.0 were applied to analyze the data.ResultsOur findings indicated that ART has a positive impact on QoL, with a pooled effect size at approximately 1.04 with a confidence interval between 0.42 to 1.66 which indicates this impact is not very considerable and may be relatively neutral. The pooled effect size for CD4 count on QoL was .29 (95%CI = .22–.35), indicating that there is a negative associate between CD4 count and QoL. The co-morbidity as a negative determinant for QoL among HIV/AIDS infected people. The pooled effect size implies on a relative neutral association, although the confidence interval is wide and ranges between 0.32 to 1.58. The pooled effect size is about 1.82 with confidence interval 1.27 to 2.37 which indicates a considerable positive association with lowest level of heterogeneity.ConclusionsThe results illustrated that time diagnosing and availability to hospital services had significant relationship with a higher QoL and CD4 < 200 was associated with a lower QoL. In conclusion, policy makers should set an agenda setting to provide a suitable diagnostic and therapeutic facilities to early detecting and continues monitoring the health status of People Who Live with HIV/AIDS (PWLHs’).