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Intergenerational relations and child development in England

:39-59. Feinstein L, Duckworth K. 2006. Development in the early years: its importance for school performance and adult outcomes. London: Centre for Research on the Wider Benefits of Learning. Fox M, Sear R, Beise J, Ragsdale G, Voland E, Knapp LA. 2010. Grandma plays favourites: X-chromosome relatedness and sex specific childhood mortality. P Roy Soc B-Biol Sci 277: 567-73. Hamilton WD. 1964. The genetical evolution of social behaviour I and II. J Theor Biol 7:1-52. Hansen K editor. 2010. Millennium Cohort Study First, Second

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Unemployment in the Polish countryside and its effect on the development and rate of maturation of rural girls

domowych według źródeł utrzymania , [in:] Powszechny spis rolny 1996. Ludność związana z rolnictwem, cz. II , GUS, Warszawa. Godina E. Z., 1994, Same attest trends in the somatic development of Moscow schoolchildren , [in:] Growth and Ontogenetic Development in Man IV. K. Hajnis (ed.), Charles University, Prague Gorlach K., 2000, Raport o rozwoju społecznym 2000. Rozwój obszarów wiejskic , Ośrodek Informacji ONZ w Warszawie GUS data 2000, 2001, 2002, Roczniki Statystyczne

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The pattern of facial preferences in boys at early adolescence

, Sexual strategies theory: An evolutionary perspective on human mating , Psychol. Rev., 100 , 204-32 Cooper P. A., S. S. Geldart, C. J. Mondloch, D. Maurer, 2006, Developmental changes in perceptions of attractiveness: A role of experience? , Dev. Sci., 9 , 530-43 Chung M. S., 1997, Face recognition: Effects of age of subjects and age of stimulus faces , Korean J. Dev. Psychol., 10 , 167-76 Diamond R., S. Carey, K. J. Back, 1983, Genetic influences on the development of spatial skills

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Variation in menarcheal age of school-aged female athletes engaged in different types of sport


It is widely known from the literature that the rate of physical development and sexual maturation is not only determined by genetics but is also modified by physical workload factors. Given the above, this paper aimed at comparing menarcheal age of school-aged athletes engaged in different types of sport (and their respective workloads) after controlling for physical traits such as body height and mass and slenderness ratio. The survey was conducted in 2017 in 6 sports schools in Poland’s Lubuskie Voivodeship. Body height and mass were measured and the slenderness index (body height divided by the cubic root of body weight) was used to establish body build. The age of menarche was self-reported by the study participants. In total, 232 girls aged 9–18 were included in the research, of whom 125 reported their age of menarche. The age-adjusted arithmetic means and standard deviations were calculated for the study participants’ estimates. The raw data were then transformed into standardized z-score values. The significance of differences was assessed by Mann-Whitney U test as an alternative to the t-test when a given variable was not normally distributed. Pearson’s correlation coefficient was used to evaluate linear relations between the workload and age at menarche. It was found that dancers, acrobats and swimmers reported the youngest menarcheal ages. Girls practising most demanding sport disciplines (in terms of strength and endurance) reported the oldest age at menarche. Girls practising more than 3 times per week had menarche later than those practising 3 times a week or less, and the difference was statistically significant. In conclusion it might be stated that the type of sport discipline has a significant effect on age of menarche. Sport disciplines involving heavier physical exertion usually delay the onset of menstruation.

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The incidence and extraction causes of third molars among young adults in Poland

agenezji zębów – przegląd piśmiennictwa. Dent Med Probl 41:531–35. Bolanos M, Moussa H, Manrique M, Bolanos M. 2003. Radiographic evaluation of third molar development in Spanish children and young people. Forensic Sci Int 133:212–19. Bouloux GF, Steed MB, Perciaccante VJ. 2007. Complications of third molar surgery. Oral Maxillofac Surg Clin North Am 19(1):117–28. Byahatti S, Mohammed S, Ingafou I. 2011. Prevalence of eruption status of third molars in Lybian students. Dent Res J 9:152–57. Carter K, Worthington S. 2015. Morphologic and

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The adaptation process and preliminary psychometric evaluation of the Polish version of Kiddo-KINDL questionnaire

assessments in healthy children and adolescents: reproducibility and construct validity. Health Qual Life Out 7(1):79. Stevanovic D, Lakic A, Vilotic J. 2009. The psychometric study of the Serbian KINDL questionnaire for health-related quality of life assessment in children and adolescents. Scand J Caring Sci 23(2):361–68. Varni, JW, Katz ER, Seid M, Quiggins DJ, Friedman-Bender A, Castro CM. 1998. The Pediatric Cancer Quality of Life Inventory (PCQL). Instrument development, descriptive statistics and cross informant variance. J Behav Med 21

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Body proportions of 6–18-year-old children in Merida, Mexico

: University Press Cambridge. Bogin B, Kapell M, Varela Silva MI, Orden B, Smith PK, Loucky J. 2001. How genetic are human body proportions? In: Dasgupta P Hauspie R (Editors) Perspectives in human growth development and maturation. Kluwer Academic Publisher Dordrecht pp. 205–21. Bogin B, Smith PK, Orden AB, Varela Silva MI, Loucky J. 2002. Rapid change in height and body proportions of Maya-American children. Am J Hum Biol 14:753–61. Bogin B, Azcorra H, Wilson HJ, Vazquez-Vazquez A, Avila-Escalante MA, Castillo-Burguete MT, Varela-Silva MI, Dickinson F

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Central obesity and hypertension among rural adults of Paschim Medinipur, West Bengal, India

Basic App Med Sci 3:113–21. Kotchen TA, Grim CE, Kotchen JM., Krishnaswami S, Yang H, Hoffmann RG, McGinley EL. 2008. Altered relationship of blood pressure to adiposity in hypertension. Am J Hypertens 21:284–89. Leeder S, Raymond S, Greenberg H, Liu H. 2004. A race against time. The challenge of cardiovascular disease in developing economies. The Center for Global Health and Economic Development. New York: Columbia University. Lohman TG, Roche AF, Martorell R. 1988. Anthropometric Standardization Reference Manual. Chicago: Human Kinetics Books

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Why are individuals with autism spectrum disorder at risk group for unhealthy weight?

caregivers of children with Autistic Spectrum Disorder. J Med. Assoc Thai 98 Suppl. 2:45–51. Levy SE, Pinto-Martin JA, Bradley CB, Chittams J, Johnson SL, Pandey J et al. 2019. Relationship of weight outcomes, co-occurring conditions, and severity of Autism Spectrum Disorder in the study to explore early development. J Pediatr 205:202–9. Lisik MZ. 2014. Molecular aspects of a autism spectrum disorders. Psychiatr Pol 48(4):689–700. Macdonald M, Esposito P, Ulrich D. 2011. The physical activity patterns of children with autism. BMC Res Notes 4 (422

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Nutritional assessment of Oraons of West Bengal: a comparison between biochemical and anthropometric methods

Dis 36:S63-S68. Kumar R, Marwaha RK, Bhalla AK, Gulati M. 2000. Protein energy malnutrition and skeletal muscle wasting in childhood acute lymphoblastic lukemia. Indian Pediatr 37:720-26. Laky B, Janda M, Cleghorn G, Obermair A. 2008. Comparison of different nutritional assessments and body-composition measurements in detecting malnutrition among gynecologic cancer patients. Am J Clin Nutr 87:1678-85. Lee HJ, Park SJ, Kim JH, Kim CI, Chang KJ, Yim KS et al. 2002. Development and validation of a computerized semi-quantitative food frequency

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