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Abstract

People spend most of their time in indoor environments and, consequently, these environments are more significant for the contribution of the daily pollutant exposure than outdoors. In case of children, a great part of their time is spent at school. Therefore, evaluations of this microenvironment are important to assess their time-weighted exposure to air pollutants.

The aim of this study was to assess the children exposure to bioaerosols at schools from two different types of areas, urban and rural. A methodology based upon passive sampling was applied to evaluate fungi, bacteria and pollens, simultaneously with active sampling for fungi and bacterial assessment. Results showed very good correlations between sampling methods, especially for summer season. Passive sampling methodologies presented advantages such as no need of specific and expensive equipment, and they allow achieving important qualitative information.

The study was conducted in different periods of the year to study the seasonal variation of the bioaerosols. Fungi and pollen presented higher levels during the summer time whereas bacteria did not present a seasonal variation. Indoor to outdoor ratios were determined to assess the level of outdoor contamination upon the indoor environment. Levels of fungi were higher outdoor and bacteria presented higher concentrations indoors.

Indoor levels of bioaerosols were assessed in primary schools of urban and rural areas, using the active method along with a passive sampling method. Very good correlations between methods were found which allow the use of the passive sampling method to supply important and reliable qualitative information of bioaerosols concentrations in indoor environments. Seasonal variation in bioaerosols concentrations were found for fungi and pollen. Concentrations of fungi and bacteria above AMV (Acceptable Maximum Value) were found for most of the studied classrooms showing the importance of this microenvironment for the high exposure of children to bioaerosols.

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Authors and Affiliations

Nuno Canha
Susana Marta Almeida
Maria do Carmo Freitas
Hubert Th. Wolterbeek
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Abstract

The author’s aim was to present actual conditions of rural primary schools functioning and the spatial differentiation of their network reorganization with particular emphasis on the consequences of those schools liquidation change their a governing body other from the local government units (LGU) to local community organizators. The study was focused on rural areas of the Małopolskie Voivodship over 2000–2016 period. In the paper were presented the number of pupils and schools (open and closed) and the school governing bodies structure too. Those data, obtained by the author from the Local Data Banks and the Board of Education in Cracow and were presented for each statistical locality. A population and settlement concentration in many rural areas made costs of schools maintenance higher and higher. Thus school governing bodies faced a difficult decision – either to reorganize the actual school network or to spend more on education from the municipal budget. Most complicated structures is observed in the rural areas showing depopulation and dispersed settlement, the zones of traditional agricultural. In all rural areas of the Małopolskie Voivodship, the number of pupils in primary schools during the analysed period decreased nearly by 30%. Thus 118 small rural schools were closed i.e. in the county Miechów, of 43 schools remained only 21. The number of closed schools would be much higher without a activity of the local communities, which began to take over their schools from the LGU. Within rural areas the Małopolskie Voivodship in 2016, 123 schools were run by local organization i.e. over 11,5% of all the rural primary schools.

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Authors and Affiliations

Marcin Semczuk
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Abstract

This study aimed to evaluate the dynamics of emotional and psychological behavior indicators in children aged 7-8 years in modern society. The study was conducted in 2018-2019 in Moscow (Russian Federation) and included a total of 600 children of the second – third grades in three secondary schools. The first group included children from families with high social status and higher education of both parents, the second group comprised children from middle- class families with secondary special education of parents, and the third group enrolled children from low-income families with incomplete secondary education of parents. Children were tested for aggressiveness as well as attitudes toward family members. It has been established that in the first group, the model of upbringing was dominated by hyper- socialization of the authoritarian type. In the second group, the model of education was more balanced, symbiosis and cooperation dominated, exceeding the other parameters by 1.3–1.9 times (p ≤ 0.05). In the third group, average and high levels of aggression were stated to be significantly higher – 1.6–2.2 times (p ≤ 0.01). In the third and first groups, there was a direct connection between the frequency of instrumental aggression and negative attitude towards siblings (0.65 and 0.84, respectively).
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Bibliography

Alwaely, S., A., Yousif, N., B., A., & Mikhaylov, A., (2020). Emotional development in preschoolers and socialization. Early Child Development and Care, 1, 1–10. https://doi.org/10.1080/03004430.2020.1717480
Baker, C., E., Kainz, K., L., & Reynolds, E., R., (2018). Family poverty, family processes and children's preschool achievement: Under-standing the unique role of fathers. Journal of Child and Family Studies, 27, 1242–1251. https://doi.org/10.1007/s10826-017-0947-6
Choi, J.,-K., & Pyun, H.,-S., (2014). Nonresident fathers’ financial support, informal instrumental support, mothers’ parenting, and child development in single-mother families with low income. Journal of Family Issues, 35(4), 526–546. https://doi.org/10.1177/0192513 x13478403
Choi, J.,-K., Palmer, R., J., & Pyun, H.,-S., (2014). Three measures of nonresident fathers' involvement, maternal parenting and child development in low-income single-mother families. Child and Family Social Work, 19, 282–291.
DelGiudice, M,. (2018). Middle childhood: An evolutionary-develop-mental synthesis. In N., Halfon, C., Forrest, R., Lerner, & E., Faustman (Eds.), Handbook of life course health development (pp. 95–107). Cham: Springer. https://doi.org/10.1007/978-3-319-47143-3_5
Fergusson, D., M., Boden, J., M., & Horwood, L., J., (2013). Childhood self-control and adult outcomes: results from a 30-year longitudinal study. Journal of the American Academy of Child & Adolescent Psychiatry, 52(7), 709–717.
Flouri, E., Mavroveli, S., & Tzavidis, N., (2010). Modeling risks: Effects of area deprivation, family socio-economic disadvantage and adverse life events on young children’s psychopathology. Social Psychiatry and Psychiatric Epidemiology, 45(6), 611–619. https://doi.org/10.1007/s00127-009-0101-x
Hardaway, C., R., & Cornelius, M., D., (2014). Economic hardship and adolescent problem drinking: Processes as mediating influences. Journal of Youth and Adolescence, 43, 1191–1202. https://doi.org/10.1007/s10964-013-0063-x
Hempel, K., Wuermli, A., & Lundberg, M., (2012). Middle childhood. Protecting and promoting human development in times of economic shocks. social protection & labor policy note. Labor markets and youth. Washington DC: The World Bank.
Huang, J., Kim, Y., & Sherraden, M., (2016). Material hardship and children’s socialemotional development: Testing mitigating effects of Child Development Accounts in a randomized experiment. Child: Care, Health and Development, 43(1), 89–96. https://doi.org/10.1111/cch.12385
Jackson, D., B., & Vaughn, M., G., (2017). Household food insecurity during childhood and adolescent misconduct. Preventive Medicine, 96, 113–117. https://doi.org/10.1016/j.ypmed.2016.12.042
Kainz, K., Willoughby, M., T., Vernon-Feagans, L., & Burchinal, M., R., (2012). Modeling Family Economic Conditions and Young Children’s Development in Rural United States: Implications for Poverty Research. Journal of Family and Economic Issues, 33(4), 410–420. https://doi.org/10.1007/s10834-012-9287-2
Kaminski, J., W., Perou, R., Visser, S., N., Scott, K., G., Beckwith, L., Howard, J., … & Danielson, M., L., (2013). Behavioral and socioemotional outcomes through age 5 years of the Legacy for Children public health approach to improving developmental out-comes among children born into poverty. American Journal of Public Health, 103(6), 1058–1066. https://doi.org/10.2105/ajph.2012.300996
Kia-Keating, M., Nylund-Gibson, K., Kia-Keating, B., M., Schock, C., & Grimm, R., P., (2018). Longitudinal patterns of self-regulation among ethnic minority children facing poverty. Journal of Child and Family Studies, 27, 398–411. https://doi.org/10.1007/s10826-017-0883-5
Kim, D., H., & Um, M.,-Y., (2018). The relationships among family income, parental depression, and adolescent aggression in South Korea: A latent growth mediation model. Children and Youth Services Review, 84, 168–175. https://doi.org/10.1016/j.child-youth.2017.11.025
Krishnakumar, A., Narine, L., Roopnarine, J., L., & Logie, C., (2014). Multilevel and crosslevel effects of neighborhood and family influences on children’s behavioral outcomes in Trinidad and Tobago: The intervening role of parental control. Journal of Abnormal Child Psychology, 42(6), 1057–1068.
Kwon, J., A., & Wickrama, K., A., S., (2014). Linking family economic pressure and supportive parenting to adolescent health behaviors: Two developmental pathways leading to health promoting and health risk behaviors. Journal of Youth and Adolescence, 43, 1176–1190. https://doi.org/10.1007/s10964-013-0060-0
Lee, H., (2020). Understanding associations between family economic hardship and primary school-aged children’s behavioral and socioemotional outcomes: Mediating mechanisms and the moderat-ing role of parental social support (Unpublished doctoral dissertation). The University of Wisconsin-Madison.
Mah, V., K., & Ford-Jones, E., L., (2012). Spotlight on middle childhood: rejuvenating the ‘forgotten years’. Paediatrics & Child Health, 17 (2), 82–83. https://doi.org/10.1093/pch/17.2.81
Malczyk, B., R., & Lawson, H., A., (2017). Parental monitoring, the parentchild relationship and children's academic engagement in motherheaded single-parent families. Children and Youth Services Review, 73, 274–282. https://doi.org/10.1016/j.childyouth .2016.12.019
Mcconnell, D., Breitkreuz, R., & Savage, A., (2010). From financial hardship to child difficulties: Main and moderating effects of perceived social support. Child: Care, Health and Development, 37(5), 679–691. https://doi.org/10.1111/j.1365-2214.2010.01185.x
Rapp, C., A., & Sullivan, W., P., (2014). The strengths model: Birth to toddlerhood. Advances in Social Work, 15(1), 129–142. https://doi.org/10.18060/16643
Reising, M., M., Watson, K., H., Hardcastle, E., J., Merchant, M., J., Roberts, L., Forehand, R., & Compas, B., E., (2013). Parental depression and economic disadvantage: The role of parenting in associations with internalizing and externalizing symptoms in children and adolescents. Journal of Child and Family Studies, 22(3), 335–343. https://doi.org/10.1007/s10826-012-9582-4
Roper, S., O., George, J., Nelson, L., J., Yorgason, J., B., & Poulsen, F., O., (2016). Economic pressure, individual and family proceses, and children's reticence in Romanian families. Journal of Child and Family Studies, 25, 2458–2468. https://doi.org/10.1007/s10826-016-0412-y
Rosstat (2019). Labor market, employment and wages. Retrieved from https://rosstat.gov.ru/labor_market_employment_salaries
Sheidow, A., J., Henry, D., B., Tolan, P., H., & Strachan, M., K., (2014). The role of stress exposure and family functioning in internalizing outcomes of urban families. Journal of Child and Family Studies, 23, 1351–1365.
Shelleby, E., C., Votruba-Drzal, E., Shaw, D., S., Dishion, T., J., Wilson, M., N., & Gardner, F., (2014). Income and children’s behavioral functioning: A sequential mediation analysis. Journal of Family Psychology, 28(6), 936–946. https://doi.org/10.1037/fam0000035
Spengler, M., Brunner, M., Damian, R., I., Ludtke, O., Martin, R., & Roberts, B., W., (2015). Student characteristics and behaviors at age 12 predict occupational success 40 years later over and above childhood IQ and parental socioeconomic status. Developmental Psychology, 51(9), 1329–1340. https://doi.org/10.1037/dev0000025
White, R., M., B., Liu, Y., Nair, R., L., & Tein, J.,-Y., (2015). Longitudinal and integrative tests of family stress model effects on Mexical origin adolescents. Developmental Psychology, 51(5), 649- -662. https://doi.org/10.1037/a0038993


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Authors and Affiliations

Sergey Khrameshin
1
Natalya Antsiferova
2
Marina Seluch
3
Zukhra Ismailova
4
Svetlana Kozlovskaya
5

  1. Slavic-Greek-Latin Academy
  2. Department of State, Municipal Management and Law, Kursk Academy of State and Municipal Service
  3. Department of Psychology and Pedagogy, Amur State University
  4. Department of Professional Education and Physical Education, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers
  5. Department of Social Work, Russian State Social University

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