Dairy product consumption, eating habits, sedentary behaviour and physical activity association with bone mineral density among adolescent boys: a cross-sectional observational study.

BACKGROUND: During childhood and adolescence, skeletal microarchitecture and bone mineral density (BMD) undergo significant changes. Peak bone mass is built and its level significantly affects the condition of bones in later years of life. Understanding the modifiable factors that improve bone parameters at an early age is necessary to early prevent osteoporosis. To identify these modifiable factors we analysed the relationship between dairy product consumption, eating habits, sedentary behaviour, and level of physical activity with BMD in 115 young boys (14-17 years). METHODS: Bone parameters were measured by dual energy x-ray absorptiometry using paediatric specific software to compile the data. Dairy product consumption and eating habits were assessed by means of a dietary interview. Sedentary behaviour and physical activity was assessed in a face-to-face interview conducted using the International Physical Activity Questionnaire. Data collection on total physical activity level was performed by collecting information on the number of days and the duration of vigorous and moderate intensity (MVPA) and average daily time spent in sitting (SIT time). RESULTS: The strongest relationships with BMD in distal part of forearm were found for moderate plus vigorous activity, sit time, and intake of dairy products, intake of calcium, protein, vitamin D, phosphorus from diet. Relationships between BMD, bone mineral content (BMC) in the distal and proximal part of the forearm and PA, sit time and eating parameters were evaluated using the multiple forward stepwise regression. The presented model explained 48-67% (adjusted R2 = 0.48-0.67; p < 0.001) of the variance in bone parameters. The predictor of interactions of three variables: protein intake (g/person/day), vitamin D intake (µg/day) and phosphorus intake (mg/day) was significant for BMD dis (adjusted R2 = 0.59; p < 0.001). The predictor of interactions of two variables: SIT time (h/day) and dairy products (n/day) was significant for BMD prox (adjusted R2 = 0.48; p < 0.001). Furthermore, the predictor of interactions dairy products (n/day), protein intake (g/person/day) and phosphorus intake (mg/day) was significant for BMC prox and dis (adjusted R2 = 0.63-0.67; p < 0.001). CONCLUSIONS: High physical activity and optimal eating habits especially adequate intake of important dietary components for bone health such as calcium, protein, vitamin D and phosphorus affect the mineralization of forearm bones.

Sex-related differences in the impact of nutritional status on length of hospital stay in atrial fibrillation: a retrospective cohort study.

Background: Nutritional status is related to the length of hospitalization of patients with atrial fibrillation (AF). The aim of this study is to assess the prognostic impact of nutritional status and body mass index on length of hospital stay (LOHS) among patients with AF relative to their sex. Methods: A retrospective analysis of the medical records of 1,342 patients admitted urgently with a diagnosis of AF (ICD10: I48) to the Cardiology Department (University Hospital in Wroclaw, Poland) between January 2017 and June 2021. Results: In the study group, women were significantly older than men (72.94 ± 9.56 vs. 65.11 ± 12.68, p < 0.001). In an unadjusted linear regression model, malnutrition risk was a significant independent predictor of prolonged hospitalization in men (B = 1.95, p = 0.003) but not in women. In the age-adjusted linear regression model, malnutrition risk was a significant independent predictor of prolonged hospitalization in men (B = 1.843, p = 0.005) but not in women. In the model adjusted for age and comorbidities, malnutrition risk was a significant independent predictor of prolonged hospitalization in men only (B = 1.285, p = 0.043). In none of the models was BMI score a predictor of LOHS in either sex. Conclusion: The risk of malnutrition directly predicts the length of hospital stays in men but not women. The study did not find a relationship between body mass index and length of hospital stay in both women and men.

The Impact of Body Mass Index on In-Hospital Mortality in Post-Cardiac-Arrest Patients-Does Sex Matter?

BACKGROUND: A number of factors influence mortality in post-cardiac-arrest (CA) patients, nutritional status being one of them. The aim of this study was to assess whether there are sex differences in the prognostic impact of BMI, as calculated on admission to an intensive care unit, on in-hospital mortality in sudden cardiac arrest (SCA) survivors. METHODS: We carried out a retrospective analysis of data of 129 post-cardiac-arrest patients with return of spontaneous circulation (ROSC) admitted to the Intensive Care Unit (ICU) of the University Teaching Hospital in Wroclaw between 2017 and 2022. RESULTS: Female patients were significantly older than male patients (68.62 ± 14.77 vs. 62.7 ± 13.95). The results of univariable logistic regression analysis showed that BMI was not associated with the odds of in-hospital death in either male or female patients. In an age-adjusted model, age was an independent predictor of the odds of in-hospital death only in male patients (OR = 1.034). In our final multiple logistic regression model, adjusted for the remaining variables, none of the traits analysed were a significant independent predictor of the odds of in-hospital death in female patients, whereas an initial rhythm of ventricular fibrillation or pulseless ventricular tachycardia (VF/pVT) was an independent predictor of the odds of in-hospital death in male patients (OR = 0.247). CONCLUSIONS: BMI on admission to ICU is not a predictor of the odds of in-hospital death in either male or female SCA survivors.

Sex-related differences in the impact of nutritional status on in-hospital mortality in acute coronary syndrome: A retrospective cohort study.

BACKGROUND AND AIMS: In patients with some cardiovascular disease conditions the result of Nutritional Risk Screening 2002 (NRS-2002) and body mass index (BMI) is related to the in-hospital mortality. The aim of this study was to assess the prognostic impact of BMI and NRS 2002 on in-hospital mortality among patients with acute myocardial infarction (AMI) in relation to sex. METHODS AND RESULTS: The study was based on a retrospective analysis of 945 medical records of AMI patients admitted to the Cardiology Department between 2017 and 2019. Patients with a score NRS2002 ≥ 3 are considered to be nutritionally at risk. The WHO BMI criteria were used. The endpoint was in-hospital mortality. Logistic regression was used to analyse the impact of quantitative variables on dichotomous outcome. Odds ratios (OR) with 95% confidence intervals were reported. Female patients were significantly older than male patients (73.24 ± 11.81 vs 67 ± 11.81). In an unadjusted model, the risk of malnutrition was a significant predictor of the odds of in-hospital mortality only in female patients (OR = 7.51, p = 0.001). In a multivariate model adjusted by all variables, heart failure (HF) (OR = 8.408, p = 0.003) and the risk of malnutrition (OR = 6.555, p = 0.007) were independent predictors of the odds of in-hospital mortality in female patients. The only significant independent predictor of the odds of in-hospital mortality in male patients was HF (OR = 3.789 p = 0.006). CONCLUSIONS: Only in the case of female patients with AMI, the risk of malnutrition was independently associated with the odds of in-hospital mortality. There was no effect of BMI on in-hospital mortality in both sexes.

Influence of Disease Acceptance on the Quality of Life of Patients with Ankylosing Spondylitis - Single Centre Study.

Introduction: Ankylosing spondylitis (AS) is a chronic, progressive disease, often with multiple complications, with periods of exacerbation and remission. The onset of the disease usually affects people under 30 years of age. The disease impairs physical, psychological, and social functioning, leading to disability. Therefore, patients with AS face the challenge of adapting to life with the condition and deteriorating quality of life (QoL). Objective: This study aimed to assess the impact of disease acceptance on quality of life in patients with AS. Material and Methods: The study was conducted in the Department of Rheumatology and Internal Diseases of the University Hospital in Wroclaw among 110 patients (67 men and 43 women) with the diagnosis of AS, aged 20-89 years (M=48.44 years, SD±12.55). The study used the Acceptance of Illness Scale (AIS), the WHOQoL-BREF Quality of Life Scale, and a self-constructed questionnaire of clinical and sociodemographic data. Results: Respondents rated the quality of life as good and moderate (M = 3.49 points, SD=±0.84). The mean AIS score was 27.44 (SD=±8.67). AIS scores are positively correlated with all QoL domains and perception of quality of life and health (p<0.001). The strongest correlation was in the physical domain (r=0.71), while the weakest correlation was observed in the social domain (r=0.329). AIS and QoL measures showed significant relationships with selected sociodemographic data (eg, gender, age, education, and occupational activity) and correlated with selected disease data (eg, type of treatment used, duration of disease, or comorbidities). Conclusion: AIS in patients with AS condition correlated positively with their QoL in all domains. Both disease acceptance and quality of life are influenced by specific sociodemographic and disease-related data. Prevention of complications and the type of treatment for AS (primarily biological treatment) can be essential in improving patients' quality of life.

Comprehensive Cardiac Care: How Much Does It Cost?

The benefits of coordinating care between healthcare professionals and institutions are the main drivers behind reforms to the payment and delivery system for healthcare services. The purpose of this study was to analyse the costs incurred by the National Health Fund in Poland related to the comprehensive care model for patients after myocardial infarction (CCMI, in Polish: KOS-Zawal). METHODS: The analysis involved data from 1 October 2017 to 31 March 2020 for 263,619 patients who received treatment after a diagnosis of first or recurrent myocardial infarction as well as data for 26,457 patients treated during that period under the CCMI programme. RESULTS: The average costs of treating patients covered by the full scope of comprehensive care and cardiac rehabilitation under the programme (EUR 3113.74/person) were higher than the costs of treating patients outside of that programme (EUR 2238.08/person). At the same time, a survival analysis revealed a statistically significantly lower probability of death (p < 0.0001) in the group of patients covered by CCMI compared to the group not covered by the programme. CONCLUSIONS: The coordinated care programme introduced for patients after myocardial infarction is more expensive than the care for patients who do not participate in the programme. Patients covered by the programme were more often hospitalised, which might have been due to the good coordination between specialists and responses to sudden changes in patients' conditions.

Do Body Mass Index and Nutritional Risk Score 2002 Influence the In-Hospital Mortality of Patients Following Cardiac Arrest?

BACKGROUND: Contemporarily, cardiac arrest (CA) remains one of the leading causes of death. Poor nutritional status can increase the post-CA mortality risk. The aim of this study was to determine the relationship between body mass index (BMI) and Nutritional Risk Score 2002 (NRS 2002) results and in-hospital mortality in patients admitted to the intensive care unit (ICU) after in-hospital and out-of-hospital cardiac arrest. METHODS: A retrospective study and analysis of medical records of 161 patients admitted to the ICU of the University Clinical Hospital in Wroclaw (Wroclaw, Poland) was conducted. RESULTS: No significant differences in body mass index (BMI) and nutritional risk score (NRS 2002) values were observed between non-survivors and survivors. Non-survivors had significantly lower albumin concentration (p = 0.017) and total cholesterol (TC) (p = 0.015). In multivariate analysis BMI and NRS 2002 scores were not, per se, associated with the in-hospital mortality defined as the odds of death (Model 1: p: 0.700, 0.430; Model 2: p: 0.576, 0.599). Univariate analysis revealed significant associations between the hazard ratio (HR) and TG (p ≈ 0.017, HR: 0.23) and hsCRP (p ≈ 0.018, HR: 0.34). In multivariate analysis, mortality risk over time was influenced by higher scores in parameters such as BMI (HR = 0.164; p = 0.048) and hsCRP (HR = 1.006, p = 0.002). CONCLUSIONS: BMI and NRS 2002, on their own (unconditionally - in the whole study group) did not alter the odds of mortality in patients admitted to the intensive care unit (ICU) after in-hospital and out-of-hospital cardiac arrest. The risk of in-hospital mortality (expressed as hazard ratio - the risk over the time period of the study) increased with an increase in BMI but not with NRS 2002.

Digital health and modern technologies applied in patients with heart failure: Can we support patients' psychosocial well-being?

Despite advances in the treatment of heart failure (HF), the physical symptoms and stress of the disease continue to negatively impact patients' health outcomes. Technology now offers promising ways to integrate personalized support from health care professionals via a variety of platforms. Digital health technology solutions using mobile devices or those that allow remote patient monitoring are potentially more cost effective and may replace in-person interaction. Notably, digital health methods may not only improve clinical outcomes but may also improve the psycho-social status of HF patients. Using digital health to address biopsychosocial variables, including elements of the person and their context is valuable when considering chronic illness and HF in particular, given the multiple, cross-level factors affecting chronic illness clinical management needed for HF self-care.

The Summarized Assessment of Endothelin A Receptor Expression in Renal Transplant Compartments Associated with Antibody-Mediated Rejection.

The occurrence of anti-endothelin A receptor antibodies may be useful in diagnosis of transplant damage. We noticed that the presence of the endothelin A receptor (ETA receptor) in biopsy compartments is yet to be defined. We decided therefore to analysed the presence and relevance of the ETA receptor in biopsy to define the cause. Our study aims to evaluate the expression of ETA receptors in renal recipients after a biopsy due to the worsening of transplant function. METHODS: The expression of ETA receptors was analyzed in renal transplant biopsies using the immunohistochemical method. The evaluation of ETA receptors was performed on paraffin sections. ETA receptor expression was analyzed in four compartments of renal transplant biopsies: glomeruli; vessels; tubular epithelium; and interstitium. The assessment was presented using a three-step scale (0: lack of expression; 1: mild to moderate immunoreactivity; 2: high expression). The results of each compartment from a single biopsy were summarized and assessed in the context of antibody-mediated rejection (AMR). RESULTS: We analyzed 156 patients who had a renal allograft biopsy after renal transplantation. For each patient, we created a summarized ETA receptor expression score. The summarized ETA receptor expression score analysis showed statistically significant differences in patients with and without AMR. In addition, we noticed that patients with AMR had a significantly higher mean summarized expression of ETA receptor score of 3.28 ± 1.56 compared to patients who had a biopsy for other reasons with a mean summarized ETA receptor expression score of 1.47 ± 1.35 (p < 0.000001). ROC analysis of the ETA receptor expression score for detecting AMR status showed that the most appropriate cut-off for the test of the chosen binary classifier is between 2 and 3 of the summarized ETA receptor expression score. CONCLUSIONS: The expression of endothelin A receptors in renal transplant compartments may be associated with antibody-mediated rejection. The positive ETA receptor staining might be a vital feature in the diagnosis of damage in AMR. The summarized ETA receptor expression score seems to be an exciting diagnostic tool in transplant injury assessment.

The Impact of Clinical, Biochemical, and Echocardiographic Parameters on the Quality of Life in Patients with Heart Failure with Reduced Ejection Fraction.

Despite significant advances in HF diagnosis and treatment over the recent decades, patients still characterize poor long-term prognosis with many recurrent hospitalizations and reduced health-related quality of life (HRQoL). We aimed to check the potential relationship between clinical, biochemical, or echocardiographic parameters and HRQoL in patients with HF with reduced ejection fraction (HFrEF). We included 152 adult patients hospitalized due to chronic HFrEF. We used the WHOQoL-BREF questionnaire to assess HRQoL and GNRI to evaluate nutritional status. We also analyzed several biochemical parameters and left ventricle ejection fraction. Forty (26.3%) patients were hospitalized due to HF exacerbation and 112 (73.7%) due to planned HF evaluation. The median age was 57 (48-62) years. Patients with low somatic HRQoL score had lower transferrin saturation (23.7 ± 11.1 vs. 29.7 ± 12.5%; p = 0.01), LDL (2.40 (1.80-2.92) vs. 2.99 (2.38-3.60) mmol/L; p = 0.001), triglycerides (1.18 (0.91-1.57) vs. 1.48 (1.27-2.13) mmol/L; p = 0.006) and LVEF (20 (15-25) vs. 25 (20-30)%; p = 0.003). TIBC (64.9 (58.5-68.2) vs. 57.7 (52.7-68.6); p = 0.02) was significantly higher in this group. We observed no associations between HRQoL and age or gender. The somatic domain of WHOQoL-BREF in patients with HFrEF correlated with the clinical status as well as biochemical and echocardiographic parameters. Assessment of HRQoL in HFrEF seems important in everyday practice and can identify patients requiring a special intervention.

Evaluation of Frailty Syndrome and Adherence to Recommendations in Elderly Patients with Hypertension.

Frailty syndrome (FS) often coexists with many diseases of the elderly, including arterial hypertension, and may affect the disease course and adherence to therapeutic recommendations. This study aimed to evaluate the relationship between frailty and adherence to therapeutic recommendations in elderly hypertensive patients. The study included 259 patients hospitalized between January 2019 and November 2020 due to exacerbation of hypertension symptoms. Medical records were used to obtain basic sociodemographic and clinical data. The study was based on the Tilburg Frailty Indicator (TFI) and the Hill-Bone Scale (HBCS). The obtained data were analyzed within a cross-sectional design. The mean frailty score indicated by the TFI questionnaire was 7.09 ± 3.73. The most prominent FS component was associated with the physical domain (4.24 ± 2.54). The mean overall adherence measured with the HBCS was 20.51 ± 3.72. The linear regression model testing the Hill-Bone "reduced sodium intake" score against the TFI domains showed no relationships between the variables. Another regression model for the Hill-Bone "appointment-keeping" subscale indicated significant predictors for physical and social TFI domains (p = 0.002 and p < 0.0001, respectively). For the Hill-Bone "taking antihypertensive drugs" variable, the regression model found significant relationships with all TFI domains: physical (p < 0.0001), psychological (p = 0.003) and social (p < 0.0001). Our study suggests that frailty in patients with arterial hypertension can negatively impact their adherence to therapeutic recommendations.

The Level of Self-Care among Patients with Chronic Heart Failure.

INTRODUCTION: In a long-term approach to the treatment of heart failure, importance is given to the process of self-care management and behaviors. The number of rehospitalizations and unscheduled medical visits can be reduced by actively engaging patients in the self-care process. METHODS: The study included 403 patients with chronic heart failure (mean LVEF 40.53%), hospitalized in the Cardiology Department. Medical record analysis and a self-report questionnaire were used to obtain basic sociodemographic and clinical data. The European Heart Failure Self-care Behavior Scale, revised into a nine-item scale (EHFScBS-9), was used to evaluate self-care behavior. RESULTS: Analysis of the EHFSc-9 self-care behavior scale showed that the mean score was 49.55 out of 100 possible points (SD = 22.07). Univariate analysis revealed that significant (p < 0.05) negative predictors of the EHFScB-9 self-care scale included: male sex (b = -5146), hospitalizations in the last year (b = -5488), NYHA class II (b = -11,797) and NYHA IV class (b = -15,196). The multivariate linear regression model showed that a significant (p ˂ 0.05) negative predictor of the EHFScB-9 self-care scale was male sex (b = -5.575). CONCLUSIONS: Patients with chronic HF achieve near optimal self-care behavior outcomes. A patient prepared to engage with self-care will have fewer rehospitalizations and a better quality of life.

Can Frailty Be a Predictor of ICD Shock after the Implantation of a Cardioverter Defibrillator in Elderly Patients?

INTRODUCTION: The aim of the study was to assess the prevalence of frailty among elderly patients who had an implanted cardioverter defibrillator, as well as the influence of frailty on the main endpoints during the follow-up. METHODS: The study included 103 patients > 60 years of age (85M, aged 71.56-8.17 years). All of the patients had an implanted single or dual-chamber cardioverter-defibrillator. In the research, there was a 12-month follow-up. The occurrence of frailty syndrome was assessed using the Tilburg Frailty Indicator scale (TFI). RESULTS: Frailty syndrome was diagnosed in 75.73% of the patients that were included in the study. The mean values of the TFI were 6.55 ± 2.67, in the physical domain 4.06 ± 1.79, in the psychological domain 2.06 ± 1.10, and in the social domain 0.44 ± 0.55. During the follow-up period, 27.2% of patients had a defibrillator cardioverter electric shock, which occurred statistically more often in patients with diagnosed frailty syndrome (34.6%) compared to the robust patients (4%); p = 0.0062. In the logistic regression, frailty (OR: 1.203, 95% CI:1.0126-1.4298; p < 0.030) was an independent predictor of a defibrillator cardioverter electric shock. Similarly, in the logistic regression, frailty (OR: 1.3623, 95% CI:1.0290-1.8035; p = 0.019) was also an independent predictor for inadequate electric shocks. CONCLUSION: About three-quarters of the elderly patients that had qualified for ICD implantation were affected by frailty syndrome. In the frailty subgroup, adequate and inadequate shocks occurred more often compared to the robust patients.

Readiness for Discharge from Hospital after Myocardial Infarction: A Cross-Sectional Study.

Myocardial infarction (MI) is a common cause of cardiovascular deaths. Education of patients with myocardial infarctions essential to prevent further cardiovascular events and reduce the risk of mortality. The study aimed to evaluate the associations between patients' readiness for hospital discharge after myocardial infarction, acceptance of illness, social, demographic, and clinical factors. The study used a cross-sectional design and included 102 patients, who were hospitalized for myocardial infarction after percutaneous coronary intervention (PCI). Two questionnaires were used: The Readiness for Hospital Discharge After Myocardial Infarction Scale (RHD-MIS) and Acceptance of Illness Scale (AIS). Low readiness characterized nearly half of patients (47.06%), 27.45% of patients showed an intermediate level of readiness, while 25.49% of patients had high readiness. Readiness for hospital discharge was higher among younger patients, respondents living in relationships, living with a family, with tertiary or secondary education, and professionally active. Acceptance of illness was higher among male patients, respondents living in relationships, and family, with secondary education and professionally active. The AIS score positively correlated with readiness for hospital discharge.

Frailty and the risk of all-cause mortality and hospitalization in chronic heart failure: a meta-analysis.

To estimate the risk of all-cause mortality and hospitalization in frail patients with chronic heart failure (HF), a systematic search and meta-analysis was carried out to identify all prospective cohort studies conducted among adults with HF where frailty was quantified and related to the primary endpoints of all-cause mortality and/or hospitalization. Twenty-nine studies reporting the link between frailty and all-cause mortality in 18 757 patients were available for the meta-analysis, along with 11 studies, with 13 525 patients, reporting the association between frailty and hospitalization. Frailty was a predictor of all-cause mortality and hospitalization with summary hazard ratios (HRs) of 1.48 [95% confidence interval (CI): 1.31-1.65, P < 0.001] and 1.40 (95% CI: 1.27-1.54, P < 0.001), respectively. Summary HRs for all-cause mortality among frail inpatients undergoing ventricular assist device implantation, inpatients hospitalized for HF, and outpatients were 1.46 (95% CI: 1.18-1.73, P < 0.001), 1.58 (95% CI: 0.94-2.22, P = not significant), and 1.53 (95% CI: 1.28-1.78, P < 0.001), respectively. Summary HRs for all-cause mortality and frailty based on Fried's phenotype were 1.48 (95% CI: 1.03-1.93, P < 0.001) and 1.42 (95% CI: 1.05-1.79, P < 0.001) for inpatients and outpatients, respectively, and based on other frailty measures were 1.42 (95% CI: 1.12-1.72, P < 0.001) and 1.60 (95% CI: 1.43-1.77, P < 0.001) for inpatients and outpatients, respectively. Across clinical contexts, frailty in chronic HF is associated with an average of 48% and 40% increase in the hazard of all-cause mortality and hospitalization, respectively. The relationship between frailty and all-cause mortality is similar across clinical settings and comparing measurement using Fried's phenotype or other measures.

Self-Reported Medication Adherence Measured With Morisky Medication Adherence Scales and Its Determinants in Hypertensive Patients Aged ≥60 Years: A Systematic Review and Meta-Analysis.

Background: The aim of this systematic review and meta-analysis was to estimate medication adherence in hypertensive patients aged ≥60 years and to explore potential determinants of adherence with antihypertensive treatment in this age group. Methods: A systematic search of the PubMed, Scopus, and Google Scholar using the Cochrane guidelines was performed. The analysis included articles published between 1 January 2000 and 30 June 2018. The patients were considered adherent if they scored ≥6 pts. on the Morisky Medication Adherence Scale (MMAS-8) or ≥3 pts. on the Morisky Green Levine Medication Adherence Scale (MGL). If available, also odds ratios (OR) with 95% confidence intervals (95% CI) for determinants of medication adherence were recorded. Results: Thirteen studies including a total of 5,247 patients were available for the meta-analysis. The pooled percentage of adherence was 68.86% (95% CI: 57.80-79.92%). Subgroup analysis did not demonstrate a significant difference in the adherence measured with the MMAS-8 and the MGL (68.31 vs. 70.39%, P = 0.773). The adherence of patients from Western countries (Europe, United States) turned out to be significantly higher than in other patients (83.87 vs. 54.30%, P = 0.004). The significant determinants of better adherence identified in more than one study were older age, retirement/unemployment, duration of hypertension >10 years, and a lower number of prescribed drugs. Conclusion: Medication adherence in the oldest old hypertensive patients seems to be higher than in younger persons. Adherence in older persons was associated with age, socioeconomic status, and therapy-related factors.

How May Coexisting Frailty Influence Adherence to Treatment in Elderly Hypertensive Patients?

BACKGROUND: Hypertension is considered to be the most common condition in the general population. It is the most important risk factor for premature deaths in the world. Treatment compliance at every stage is a condition for successful antihypertensive therapy, and improving the effectiveness of treatment is a major goal in preventing cardiovascular incidents. Treatment noncompliance and lack of cooperation stem from numerous problems of older age, including frailty syndrome. OBJECTIVE: To evaluate the effect of frailty syndrome on treatment compliance in older patients with hypertension. METHODS: The study sample consisted of 160 patients (91 women, 69 men) with hypertension aged 65 to 78 (mean = 72.09, SD = 7.98 years), hospitalized at the University Clinical Hospital due to exacerbation of disease symptoms. Standardised research tools were used: the Tilburg Frailty Indicator questionnaire and the questionnaire for the assessment of treatment compliance in patients with hypertension, the Hill-Bone Compliance to High Blood Pressure Therapy Scale. RESULTS: Frailty syndrome was diagnosed in 65.62% of patients: 35.62% with mild, 29.38% with moderate, and 0.62% with severe frailty. The treatment compliance was 36.14%. The prevalence of the FS and its three components (physical, psychological, social) significantly affected (p <0.05) the global score of the Hill-Bone Compliance to High Blood Pressure Therapy Scale and all subscales: "reduced sodium intake", "appointment keeping", and "antihypertensive medication taking". CONCLUSIONS: The coexistence of frailty syndrome has a negative impact on the compliance of older patients with hypertension. Diagnosis of frailty and of the associated difficulties in adhering to treatment may allow for targeting the older patients with a poorer prognosis and at risk of complications from untreated or undertreated hypertension and for planning interventions to improve hypertension control.

Assessment of adherence to medication for cardiovascular diseases: measurement tools.

The effectiveness of treatment and prevention of chronic illnesses can be optimised with adherence to medication treatment. This is very often assessed by means of a self-report. However, the challenge here is to choose the most suitable questionnaire or the one that is best overall in a given situation. The aim of this systematic review was to assess existing self-reported medication adherence scales, which measure adherence to treatment for cardiovascular disease. The review demonstrated that relatively few disease-specific adherence scales exist. Generic questionnaires and those specific to adherence to hypertension treatment are the most numerous. Questionnaires specifically measuring adherence to anti-haemorrhage treatment for atrial fibrillation are particularly necessary and noticeably absent. The two most important aspects that need to be taken into account when selecting the most appropriate scale in a given context are the subject of the measurement (what) and the method of validation (how).

The relationship between sleep disturbances and quality of life in elderly patients with hypertension.

PURPOSE: Sleep disorders, such as insomnia with objective short sleep duration, are associated with increased risk of hypertension. The objective of the study was to evaluate the effects of insomnia and daytime sleepiness on the quality of life (QOL) among elderly hypertensive patients. PATIENTS AND METHODS: This cross-sectional study covered 100 patients with hypertension. All participants completed standardized questionnaires, such as the Epworth Sleepiness Scale (ESS), the Athens Insomnia Scale (AIS), and the World Health Organization Quality of Life-Brief (WHOQOL-BREF), and clinical data were obtained from patients' medical records. RESULTS: We showed that more than half of the patients experienced insomnia (AIS score ≥6) and 39% experienced daytime sleepiness. Daytime sleepiness was negatively associated with perceived QOL (r=-0.478, P<0.001). It was also shown that insomnia might be influenced by older age (P<0.001), occupational activity (P=0.011), overweight (body mass index [BMI] 25-30) (P=0.042), and longer duration of illness (P=0.049) among hypertensive patients. CONCLUSION: Sleep problems have a significant negative impact on the QOL in patients with hypertension, especially in the physical domain of the QOL questionnaire. The occurrence of sleep problems in patients with hypertension is influenced by older age, primary education, overweight, occupational activity, and longer duration of illness.

The influence of sleep disorders on the quality of life in patients with chronic low back pain.

INTRODUCTION: Low back pain (LBP) is one of the most common pain syndromes, and its prevalence has increased significantly in the past three decades. OBJECTIVES: The aim of this study was to evaluate the effects of insomnia and daytime sleepiness on the quality of life (QOL) of patients suffering from chronic back pain. MATERIAL AND METHODS: It is a cross-sectional study conducted among 100 people (aged 25-75 years - mean age 49.53 ± 10.92) treated in a neurological clinic for chronic back pain lasting longer than 3 months. The diagnostic survey method was applied for the purposes of this study with the use of: the author's questionnaire and standardised questionnaires that is Visual Analogue Scale (VAS), Epworth Sleepiness Scale (ESS), Athens Insomnia Scale (AIS) and Polish version of WHO Quality of Life-BREF questionnaire (WHOQOL-BREF). The results were statistically analysed. RESULTS: Analysis of the study material showed that 83% of patients suffered from insomnia (scored 6 or more points on the AIS) and 29% experienced mild daytime sleepiness. People who were more sleepy during the day were characterised by lower perception of the QOL (r = -0.034, p = 0.029) and lower perception of general health (r = -0.035, p = 0.04). Analysis of multiple variables (using linear regression) showed that independent predictor of the QOL in all domains is the result of the AIS questionnaire (p < 0.05). CONCLUSIONS: Sleep disorders - both insomnia and daytime sleepiness - are a common health problem experienced by people with LBP. Insomnia is an important predictor affecting the QOL in people with LBP.