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.

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.

Intensity of Anxiety and Depression in Patients with Lung Cancer in Relation to Quality of Life.

Psychological factors, such as the anxiety and depression, which often occur in patients with lung cancer might negatively influence their quality of life. The aim of the study was to evaluate the effect of anxiety and depression in lung cancer patients on quality of life. The study included 180 lung patients of the mean age of 62.7 ± 9.7 years. The following scales were employed in the study: Quality of Life Questionnaire QLQ-C30 and LC13 scale, and Hospital Anxiety and Depression scale (HADS). The overall score of quality of life measured by QLQ-C30 was 47.1 ± 23.4 points on a hundred-point scale. Anxiety was diagnosed in 67 patients (37.2%) and depression in 75 patients (41.7%) by HADS. Quality of life was significantly worse in case of anxiety and depression (p < 0.05), which negatively influenced both functional and symptom intensity scales measured with QLQ-C30 and QLQ-LC13. We conclude that early identification of anxiety and depression may help in therapeutic decision-making and may be a useful predictive factor in lung cancer patients.

Assessment of illness acceptance by patients with COPD and the prevalence of depression and anxiety in COPD.

BACKGROUND: COPD is a civilization disease. It affects up to 8%-10% of population >30 years of age. Coexistence of depression occurs in 20%-40% of patients with COPD. Depression and anxiety reduce compliance and worsen prognosis. OBJECTIVE: The aims of this study were to determine the degree of illness acceptance among patients with COPD, to examine the relation between disease acceptance and perceived anxiety and depression, and to verify which of the sociodemographic and clinical factors are associated with illness acceptance, anxiety, and depression. MATERIALS AND METHODS: The study included 102 patients with COPD (mean age 65.8 years), hospitalized due to exacerbations. Acceptance of Illness Scale and Hospital Anxiety and Depression Scale were used. For statistical analysis, Student's t-test and Pearson's r correlation coefficient were carried out. RESULTS: The overall illness acceptance level was moderate with a tendency toward lack of acceptance (mean 20.6, standard deviation [SD] 7.62). The overall scores were 10.2 (SD 3.32) for anxiety and 10.8 (SD 4.14) for depression, which indicate borderline or high intensity of these symptoms. Acceptance of illness was negatively correlated with the intensity of depression symptoms (r=-0.46, P<0.05). Intensity of depression was significantly associated with intensity of smoking, duration of the disease, severity of dyspnea, and living in a rural area. CONCLUSION: Early identification and assessment of depression and anxiety symptoms allow health care providers to offer patients at risk of depression a special medical supervision. Rapid start of antidepressant therapy may increase illness acceptance and improve prognosis among patients with COPD.

Clinical factors affecting quality of life of patients with asthma.

BACKGROUND: In recent years, there has been increased interest in the subjective quality of life (QoL) of patients with bronchial asthma. QoL is a significant indicator guiding the efforts of professionals caring for patients, especially chronically ill ones. The identification of factors affecting the QoL reported by patients, despite their existing condition, is important and useful to provide multidisciplinary care for these patients. AIM: To investigate the clinical factors affecting asthma patients' QoL. METHODS: The study comprised 100 patients (73 female, 27 male) aged 18-84 years (mean age was 45.7) treated in the Allergy Clinic of the Wroclaw Medical University Department and Clinic of Internal Diseases, Geriatrics and Allergology. All asthma patients meeting the inclusion criteria were invited to participate. Data on sociodemographic and clinical variables were collected. In this study, we used medical record analysis and two questionnaires: the Asthma Quality of Life Questionnaire (AQLQ) to assess the QoL of patients with asthma and the Asthma Control Test to measure asthma control. RESULTS: Active smokers were shown to have a significantly lower QoL in the "Symptoms" domain than nonsmokers (P=0.006). QoL was also demonstrated to decrease significantly as the frequency of asthma exacerbations increased (R=-0.231, P=0.022). QoL in the domain "Activity limitation" was shown to increase significantly along with the number of years of smoking (R=0.404; P=0.004). Time from onset and the dominant symptom of asthma significantly negatively affected QoL in the "Activity limitation" domain of the AQLQ (R=-0.316, P=0.001; P=0.029, respectively). QoL scores in the "Emotional function" and "Environmental stimuli" subscale of the AQLQ decreased significantly as time from onset increased (R=-0.200, P=0.046; R=-0.328, P=0.001, respectively). CONCLUSION: Patients exhibiting better symptom control have higher QoL scores. Asthma patients' QoL decreases as time from onset increases. A lower QoL is reported by patients who visit allergy clinics more often, and those often hospitalized due to asthma. Smoking also contributes to a lower QoL in asthma patients.