Quality of life of post-stroke patients Bártlová, Sylva; Šedová, Lenka; Havierniková, Lucie ...
Zdravstveno varstvo,
06/2022, Volume:
61, Issue:
2
Journal Article
Peer reviewed
Open access
Stroke is a disease whose consequences have a considerable impact on the quality of the patient's life. It is a widespread disease that has a disabling impact on life and, in addition to physical ...changes, brings about a number of psychological and cognitive processes.
The goal of the study was to identify and describe the quality of life of post-stroke patients.
The study design was quantitative. A questionnaire of the authors' own design and the SF-36 questionnaire were used to obtain the data.
Significant differences in patient quality of life were identified in relation to patient gender. Moreover, the quality of life in all individual SF-36 dimensions, except for mental health, deteriorated with age. With regard to occupational placement, employed respondents gave the highest evaluation of quality of life according to SF-36 and old-age pensioners the lowest. The analysis shows that quality of life in individual dimensions is positively influenced by respondents' higher education. The evaluation in individual dimensions improves with the time that has passed since the stroke.
The quality of life of post-stroke patients deteriorates with age. The deteriorating level of patient quality of life in older age requires programmes that include assessments and interventions that lead to the treatment of these patients.
Abstract
Aim
To analyse if body mass index (BMI) could be used as a fast proxy indicator of poor oral hygiene habits (POHH) among the adult population with diabetes mellitus.
Methods
Adults, aged ...25-74, from the Slovenian 2016 nationwide cross-sectional survey based on the Countrywide Integrated Non-Communicable Disease Intervention (CINDI) Health Monitor methodology, who reported being diabetic, were included in the study (n=560). We assessed the relationship between POHH and BMI, adjusted to confounders, using multiple binary logistic regression.
Results
In the total sample, the POHH prevalence was 50.9%. Taking into account BMI, POHH prevalence in participants with normal BMI values was only 37.8%, in the overweight group it was 1.22-times higher (46.0%), while in the obese group it was 1.63-times higher (61.6%) (p<0.001). Also, the odds for POHH were 2.64-times higher in the obese group in comparison to the normal BMI group (95% CI: 1.55-4.51; p<0.001). After adjustment for confounders, this OR decreased only moderately (OR=2.45; 95% CI: 1.35-4.44; p=0.003).
Conclusions
BMI could be used as a readily assessable, fast, simple, and cheap tool indicating higher odds for having POHH among the diabetic population. By defining the high-risk group it could be easier for physicians and dentists to take further referrals and actions for promoting oral health in this group. The suggested tool can save time and could have an important positive impact on the quality of life of diabetics, as well as on health expenditures.
The aim of the study was to determine the ability of ferritin, haemoglobin, albumin and total cholesterol to identify nutritional risk and malnutrition among elderly primary care patients.
The ...cross-sectional study included 446 elderly adults over 65 years of age from four areas of Bosnia and Herzegovina. In addition to anthropometric, functional, cognitive and biochemical indicators, nutritional status was evaluated using 24-hour recall of meals, the Mini Nutritional Assessment (MNA), and Seniors in the Community: Risk Evaluation for Eating and Nutrition, Version II (SCREEN II).
Malnourished/at-risk study respondents had lower mean levels of haemoglobin (P=0.001) and total cholesterol (P<0.001), compared to those with normal nutritional status. Albumin levels significantly differed regarding nutritional status (P=0.004), but not nutritional risk level (P=0.521). Significant differences in serum ferritin levels were not found between malnourished and normally nourished study respondents (P=0.779) Determinants of albumin level were eating more than three meals a day (P<0.001), fewer than two portions of fruit and vegetables a day (P=0.024), drinking one glass of wine (P<0.001) and reporting functional independence (P=0.011). The AUC curves for serum ferritin, albumin and total cholesterol levels in men and women, as well as for haemoglobin levels in women, were poor to fair (AUC<0.800).
Although ferritin, haemoglobin, albumin and total cholesterol may be useful biomarkers of nutritional status, their accuracy in diagnosing malnutrition and nutritional risk among elderly primary health care patients is limited.