Background. Breastfeeding is the most common way of feeding infants. Human milk contains nutrients which are necessary to provide proper growth of a child. Nowadays there aren't any recommendations to follow elimination diet in order to decrease the risk of allergy or baby colic. Only the occurrence of health problems such as lactose intolerance or cow's milk protein allergy in breastfeeding mother or infant should be a reason for eliminating dairy products from diet. It seems to be important to explore the reasons and the frequency of following milk-free diet by breastfeeding women. Objectives. The main purpose of the study was to find the reasons for following milk-free diet by breastfeeding women and making an assessment of their nutrition knowledge and food habits. Material and methods. Thirty-three breastfeeding women following milk-free diet took part in the project. The women were interviewed by the Computer Assisted Web Interview (CAWI) method with an original questionnaire. The results were developed with Spearman's rank correlation, Chi2 test and the gamma coefficient. The statistical significance level for the p-value was <0.05. Results. The main reason for following milk-free diet by the breastfeeding women was the occurrence of hypersensitivity reactions of the children's gastrointestinal system after consuming milk by mother (72% responses). After excluding milk from diet only 42% respondents declared consuming new food products or dietary supplements in order to refill the potential deficiency of nutrients. The majority of respondents also eliminated from diet highly processed food products, fast-food and the carbonated drinks. The most often declared source of information about lactation was Internet (85%). Only 12% respondents asked a nutritionist in order to get the information about breastfeeding. Conclusions. It's necessary to promote a specific nutritional advice about following milk-free diet in breastfeeding women group in order to decrease the health risk connected with low calcium diet.
Anxiety disorders are a social problem due to their prevalence and consequences. It is crucial to explore the influence of anxiety on cognitive processes. In this study we recorded EEG activity from 73 subjects (35 patients, 38 controls, matched for age and education) during performance of the Continuous Attention Task. We used low resolution electromagnetic tomography (LORETA) for evaluation of mechanisms of impaired cognitive performance in anxiety disorders. Analysis showed that patients with anxiety disorders committed more errors than the controls, had a short latency of P300 and higher amplitude of ERPs at all steps of stimulus processing. Furthermore, we showed that there was a relationship between the scores of Hamilton Anxiety Scale and Beck Depression Inventory, and amplitudes and latencies of ERPs. The results of LORETA analysis showed that enhanced neural responses were found within circuits mediating visual information processing, sustained attention and anxiety. Also, we found higher current density within areas playing an important role in the brain fear network – anterior cingulate and anterior part of insula. Electrophysiological neuroimaging showed greater recruitment of cognitive resources in anxiety disorders, evidenced by higher current density and activation of greater number of brain areas. Despite the strategy employed to compensate for cognitive problems, the anxiety patients did not achieve the same performance as controls. Present study demonstrates that anxiety disorders influence processing of neutral stimuli and this influence is observable at both behavioral and electrophysiological level. The data suggests instability of neural systems responsible for information selection, working memory, engagement and focusing of attention.
The aim of the study was to compare electrophysiological parameters of night sleep in narcolepsy type 1 and hypersomnia associated with a psychiatric disorder. Forty-four patients: 15 with narcolepsy type 1, 14 with hypersomnia associated with a psychiatric disorder and 15 age- and sex-matched controls participated in the study. The study subjects filled in the Athens Insomnia Scale (AIS) and the Beck Depression Inventory (BDI). The severity of daytime sleepiness was quantified subjectively using the Epworth Sleepiness Scale (ESS) and the Stanford Sleepiness Scale (SSS), and objectively using the Multiple Sleep Latency Test (MSLT). All subjects underwent polysomnography (PSG) on the two consecutive nights. The data from the second night was analysed. The slow wave activity (SWA, 1–4 Hz) was calculated for the three consecutive sleep cycles, and topographic delta power maps were plotted. In contrast to narcoleptics, psychiatric hypersomniacs had undisturbed nocturnal sleep, high sleep efficiency, normal non-rapid eye movement (NREM) and rapid eye movement (REM) sleep proportions, normal REM latency and sleep latencies on MSLT and PSG. The subjective and objective sleepiness was significantly higher in narcolepsy group than in psychiatric hypersomnia group. In all the study groups SWA was the most prominent in frontal areas, while the greatest between-group differences were found in the central areas. There were significant differences between the groups in SWA in the second NREM episode. The highest SWA was observed in the hypersomnia group, while the lowest in the narcolepsy group. Psychiatric hypersomniacs and controls did not differ in the SWA exponential decline over consecutive NREM episodes, whereas narcoleptics exhibited a steeper dissipation of sleep pressure from the first to the second NREM episode. In conclusion, narcolepsy type1 and hypersomnia associated with psychiatric disorder differ in the SWA dynamics. Narcoleptics presented with the altered dynamics of sleep homeostasis, whereas psychiatric hypersomniacs showed normal nocturnal sleep and normal sleep homeostasis.
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