To improve the employment situation of people with epilepsy, knowledge among workers should be increased. This should be done at various levels of employment to ensure that the risks of employing a person with epilepsy are more adequately assessed and mitigated if possible.

Background. Migraines are one of the most commonly occurring ailments affecting the nervous system. The aim of this research paper was to evaluate the effect migraines have on the everyday functioning of women. Method. The study involved women with diagnosed migraine headaches (IHS-2004) undergoing treatment at a neurological clinic. In order to evaluate the influence of headaches on the everyday functioning of women, a MSQ v.2 questionnaire was used, whereas pain severity was assessed on a linear VAS scale. Results. Among the clinical factors, the most influential was the frequency of headaches. Headache duration was particularly significant for women below the age of 40. Pain severity cited at 8–10 pts on the VAS significantly disrupted and limited everyday functioning. On the emotional function subscale, the most influential factors were age, education, and the frequency of headaches. Conclusions. On account of headache frequency emerging as the most significant influencing factor, it is of the utmost importance to inform patients of the value of taking prophylactic measures. Central to this is the identification of factors that trigger the onset of migraines. This approach would greatly aid the individual in choosing the appropriate treatment, either pharmacological or others.

Introduction and objective. The incidence of problems related with nutrition disorders and decrease of functional activity among the elderly are often an important element of their disability. The aim of the study was to analyse the relationship between the nutritional status and functional fitness of aselected population of elderly people. Materials and method. The cross-sectional study comprised 412 elderly persons, including 318 females (77%). The mean age of the study group was 75.8 years ± 7.6. Within the entire group an analysis of correlation between nutritional status and functional ability was performed, assessed according to the Mini Nutritional Assessment (MNA) scale, as well as social and demographic parameters, health condition (number of chronic diseases, drugs taken) and the functional independence exponents. To identify factors significantly affecting the risk of malnutrition, the logistic regression model was used. Results obtained were presented as odds ratios with 95% confidence intervals. A stepwise multiple logistic regression with backward elimination was also performed. Results The normal nutritional status (MNA 23-30 point), good mental status (MMSE 24-30), no risk of depression (GDS -0-5 points), risk of falls (TUG -less than 14 seconds) and correct functional capability (Barthel index 86-100; IADL -27), were determined in 253 (61.4%) respondents. Multi-parameter analysis proved that the independent determinants of nutrition status were: risk of depression (p<0.001), risk of falling (p<0.01), cognitive ability (p<0.05) and education (p<0.05). Conclusions Incorrect nutritional status can be both a consequence and cause of disability. Due to the determined correlation between nutritional status and the components of functional fitness, the existence of irregularities in the area of any element should necessitate the conduction of screening tests to determine nutritional status. StreszczenieWprowadzenie. Problemy związane z zaburzeniami stanu odżywienia przyczyniają się do wzrostu chorobowości osób starszych i wraz ze spadkiem aktywności funkcjonalnej stanowią często ważny element niesprawności. Celem podjętych badań była analiza związku pomiędzy stanem odżywienia a sprawnością funkcjonalną u osób w wieku podeszłym. Materiał i metoda. Badaniem przekrojowym objęto 412 osób starszych, w tym 318 kobiet (77%). Średni wiek pacjentów w badanej grupie wynosił 75,8 ± 7,6 lat. W obrębie całej grupy przeprowadzono analizę korelacji między stanem odżywiania, ocenianym według skali MNA (Mini Nutritional Assessment), a parametrami społecznymi i demograficznymi, stanem zdrowia (liczba chorób przewlekłych, przyjmowanych leków) oraz wykładnikami sprawności funkcjonalnej. Aby zidentyfikować czynniki istotnie wpływające na ryzyko niedożywienia, zastosowano model regresji logistycznej. Uzyskane wyniki przedstawiono jako iloraz szans z 95-proc. przedziałami ufności. Przeprowadzono również stopniową regresję logistyczną z eliminacją wsteczną. Wyniki. Prawidłowy stan odżywienia (MNA 23-30 pkt), dobry stan psychic...