Prevention aid in qualitative analysis of dermatoglyphic patterns in relation to type 2 diabetes mellitus: a pilot study.

OBJECTIVES: The significant differences in the fingerprint pattern frequencies in type 2 diabetes mellitus (T2DM) patients and controls could be a possible way to identify patients with a risk of developing T2DM. The results could be used in the earlier diagnosis and treatment. The study was undertaken to find out the reliability of fingerprint patterns as a possible predictive tool for T2DM diagnosis. METHODS: A total of 1,260 fingerprints were acquired using the optical contact sensor DactyScan 26i. The results of the qualitative analysis of the fingerprint pattern frequencies have been compared between T2DM patients and controls and also between the fingers to each other. We have detected the frequency of patterns: plain arch (Ap) and tented arch (At), radial loop (Lr), ulnar loop (Lu), double loop (Ld), spiral whorl (W), and plain whorl (concentric) (Wp). Statistical analysis was performed using Pearson's chi-square by Statistica ver. 12. RESULTS: We found statistically significant differences (p < 0.05) in the frequency of individual dermatoglyphic patterns among patients with diabetes and healthy controls as follows: in the left thumb (L1) in a radial loop, double loop and spiral whorl pattern; in the left middle finger (L3) in a tented arch and radial loop; in the right ring finger (R4) in a tented arch, spiral and plain whorl; and in the right little finger (R5) in a tented arch and spiral whorl. CONCLUSION: Fingerprint pattern frequencies might be used as another screening tool and indicator in T2DM prevention. Qualitative analysis of fingerprint patterns could be useful regarding the additional prevention diagnostics of T2DM in the population.

Use of bioimpedance in prevention of sarcopenia in the elderly.

OBJECTIVES: Physiological ageing is associated with major and progressive changes in body composition, particularly in the decline of fat-free mass, which puts older individuals at risk of geriatric syndromes such as sarcopenia and sarcopenic obesity. Bioimpedance analysis noninvasively allows the determination of body composition, thus being able to rapidly assess primary risk factors leading to sarcopenia prediction. METHODS: We conducted a study of 180 probands, 120 females (66.7%) with a mean age of 76.23 (SD = 9.29) years and 60 males (33.3%) with a mean age of 74.01 (SD = 8.99) years in cooperation with facilities for the elderly and with the inpatient department of the clinics of J.A. Reimann Hospital in Presov. Body height, body weight, hip circumference, and waist circumference were determined by the anthropometric method, from which the values of the body mass index and waist-to-hip ratio were calculated. Active body mass, total body water, extracellular body water, intracellular body water, cell mass, body mass fat, body fat index, fat-free mass index, impedance at frequencies of 50 kHz, resistance, reactance, and phase angle were determined using the Quadscan 4000 Touch bioimpedance instrument. Appendicular skeletal muscle mass (ASMM) and muscle mass (ASMM/Ht2) were calculated. The data obtained from anthropometric and bioimpedance measurements were processed in MS Excel 2000 and STATISTICA ver. 12. The difference of means in the studied groups was tested by the t-test. RESULTS: Presarcopenia was diagnosed in 12 (6.66%) probands out of 180 probands, of which were 3 (5%) men and 9 women (7.5%). Phase angle, ASMM and ASMM/Ht2 values were significantly lower (p < 0.001) in men and women with presarcopenia. CONCLUSION: By introducing bioimpedance measurements into practice, it is possible to obtain results in a non-invasive way revealing possible presarcopenia in the elderly.

Association of the PDE4D gene variant with selected markers in individuals with ischaemic heart disease: a pilot study.

OBJECTIVE: The aim of the study was to evaluate the variant (rs2910829) of the PDE4D gene in relation to its influence on biochemical, anthropometric and physiological parameters in patients with coronary artery disease and healthy subjects of the Eastern Slovak population. METHODS: The male group consisted of 72 individuals and the female group consisted of 132 individuals. On the basis of clinical screening the subjects were divided into two groups - with ischaemic heart disease and control group. Genomic DNA was isolated from peripheral blood using a commercial NucleoSpin® Blood Machenery-Nagel kit. Molecular genetic analysis of the polymorphism under study was performed using the StepOne™ Real-Time PCR System instrument. The lipid profile markers TC, HDL, LDL, TG were measured by Cobas Integra 400 plus biochemical analyser, and systolic and diastolic blood pressure using a digital blood pressure monitor. Among anthropometric parameters, body height and weight, waist and hip circumference were measured and BMI and WHR indices were calculated. RESULTS: A statistically significant (p = 0.018) possible association between the mutant T allele and ischaemic heart disease was found in men. In women, we found a statistically significant difference in the systolic (p = 0.013) and diastolic blood parameters (p = 0.005) in the CC genotype. In the group of women, we found statistically significant differences in all observed anthropometric parameters and in LDL and TC markers. In the group of men divided on the basis of BMI, statistical significance was found in systolic blood pressure (p = 0.028). In the group of women with ischaemic heart disease, we found a negative correlation between BMI and HDL. CONCLUSION: The study contributes to new findings of the representation of genotypes and alleles of the rs2910829 PDE4D gene polymorphism in the Slovak population. This is a pilot study. Interactions between genotype and observed anthropometric, physiological and biochemical markers were confirmed.

Examining the sleeping habits of preschool and elementary school children in Southern Slovakia.

OBJECTIVES: Our research aimed to examine children's sleeping habits from preschool to the end of elementary school age. Developing proper sleeping habits in childhood is essential, as it is decisive for the rest of our lives. METHODS: A total of 339 children (160 males and 179 females) took part in the research, of which 145 were preschool-age children (3-7 years old), 72 lower-grade elementary school children (6-11 years old), and 122 upper-grade elementary school children (12-16 years old). The questionnaire was completed in a paper form (elementary school students) and online (kindergarten children). RESULTS: The research results show that most of the children spend enough time sleeping following the recommendations. In case of the kindergarten children, the younger ones also sleep in the afternoon on weekends (average of 3.66 years, 28.3%), and the older ones do not sleep in the afternoon either in kindergarten during the week or at home at the weekend (average of 5.22 years, 46.2%). The use of blue light typically increases with age; 39% of the preschoolers, 61% of the 6-11-year-olds, and 67% of the 12-16-year-olds use it before falling asleep. Sleep aids and rituals are used by 87.6% of the preschoolers, 67.4% of the 6-11-year-olds, and 34.4% of the 12-16-year-olds, because significantly more preschoolers find it more difficult to fall asleep than older children. At night, 40% of the preschoolers wake up at least once (due to biological needs - 46.3%), 32% of the 6-11-year-olds wake up at night (due to nightmares - 42.3%), and 41% of the 12-16-year-olds also wake up all night (due to biological needs - 31.9%, and due to noise - 29.8%). CONCLUSION: Although the children get enough sleep, significantly more upper-grade school children feel tired in the morning. It is essential to help sleep and eliminate factors that prevent falling asleep to create a healthy circadian rhythm in the life of children.