Objectives: The aim of the study was to compare the usefulness of fluorescence-based caries detection systems (Diagnodent and VistaCam) for the assessment of carious lesions on archeological molars. Materials and methods: The study material consisted of teeth from the Cemetery of St. Mary Magdalene (Cmentarz sw. Marii Magdaleny) in Wrocław, Poland. A sample of 178 permanent molars from 38 skulls were examined. Five surfaces of teeth (occlusal, mesial, distal, buccal, and lingual) were assessed on either basically cleaned or sandblasted teeth. Six diagnostic methods were used to detect carious lesions: the visual classification of the International Caries Detection and Assessment System (ICDAS II), fluorescent methods (Diagnodent and VistaCam), X-ray, cone beam computed tomography and histological sections. The sensitiv-

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Enamel Hypoplasia (EH) is known to be a useful indicator for wide range of detrimental factors in early childhood in past populations, such as nutritional disturbances, mechanical trauma, disease, metabolic, and/or genetic disorders. EH may be divided into three categories: pits, grooves, and lines, where the last two are referred to as “Linear Enamel Hypoplasia” (LEH). The regularity of enamel formation allows retrospective determination of the age of LEH formation. The current article reviews and compares the best‐known methods used to estimate age at LEH formation and provides a new computational tool. Growth curves for canines and incisors were developed based on tooth growth tables by previous authors. Optimal models were selected using the Akaike Information Criterion. A Microsoft Excel spreadsheet was created to calculate age at LEH formation using the most common methods. All method results were compared with an archaeological sample (44 teeth of 18 individuals from an early modern cemetery from Wrocław, Poland) and a theoretical model. The results of the methods were compared pairwise with Bland‐Altman plots. The current article provides a quick and easy‐to‐use tool for analyzing LEH chronology and comparing the results of different methods. As shown by the Bland‐Altman plots, most methods provide approximately consistent results for LEHs formed at around 2–3 years of age. However, LEHs formed particularly early or late are more prone to discrepancies between different methods. Comparison of the age at LEH formation obtained by different methods should be done carefully ‐ and the new LEH calculation tool with optimized equations provided in this publication can facilitate this process.

The aim of project was to estimate relationship between physical activity, socio-economic conditions and BMI in sample of youth. A group consisted of 177 youth aged 14-16 years from two Warsaw junior high schools. The research included questionnaire information (socio-economic condition, lifestyle), measurements and tests of strength, agility, endurance, flexibility, and reaction time. To determinate the relationship between fitness and five factors stepwise multiple regression was used. The results showed that higher stress level had negative influence on grip strength of hand and agility of shuttle run. Exposure to smoking had a negative impact on result in grip strength of hand, endurance, and explosive power of the lower extremities. The number of people in family had negative effect on grip strength of hand, however lifestyle had a positive influence on number of sit-ups (abdominal muscular strength and endurance). In case of youth characterized by lower BMI category, weaker handgrip and increased spine flexibility were observed. Socio-economic conditions mentioned above had small influence on physical activity

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The aim of the study was to assess changes in body build of young Warsaw pupils during the last 14 years and coming from different living conditions and lifestyle. The material comprised youth attending high school (177 individuals) aged 14-16 years. The questionnaire form included parents' education, the number of: family members, offspring, rooms, daily meals; smoking habits of parents; assessment of physical activity and stress at home, school, and high school grades. Measurements included: height and weight, upper and lower extremity length, trunk length, arm, chest, waist and hip circumferences, three subcutaneous fat folds. BMI and WHR were calculated. The living conditions were reduced by principal component analysis to three factors (family size, living conditions, environmental stress). Regression analysis showed the relation of 3 factors to body build. The current youth were characterized by greater: weight, BMI, fat tissue, trunk length and body circumferences than their coevals 14 years before. In more numerous families youth had greater trunk length. In worse living conditions they were characterized by shorter legs and more fat tissue on arm. In stress conditions youth presented greater hip circumference.