An B 318 1.six 405 1.7 726 Changsha A 110 0.3 450 1.5 561 B 167 0.6 591 1.6L: living space; C: child’s
An B 318 1.six 405 1.7 726 Changsha A 110 0.3 450 1.five 561 B 167 0.6 591 1.6L: living space; C: child’s bedroom; A, B: Groups A and B.Children’s every day intake of DBP and DEHP from home dust in child’s bedrooms have been drastically larger than such intakes from living rooms (Mann-Whitney U test, p 0.05). Nevertheless, the PearsonInt. J. Environ. Res. Public Health 2017, 14,15 ofcorrelation coefficient (r) of every day exposure to DBP and DEHP betweenthe child’s bedroom and the living room showed that there was no important correlations inside the distinctive rooms (r = 0.48, p 0.05). The everyday intakes of DBP and DEHP from house dust by means of ingestion SAA1 Protein supplier varied from 638 to 2974 ng/day-kw/day, with an CDCP1 Protein Molecular Weight average of 1407 ng/day-kw/day, whilst 1.7 to 11.1 ng/day-kw/day with an average of 5.five ng/day-kw/day through dermal absorption. Youngsters within the houses from Dalian, Beijing and Shanghai ingested more phthalates from home dust than kids from Wuhan and Changsha, with statistical significance (p 0.05). 4.3. Relationships amongst Environmental Pollutants To be able to ascertain the feasible relevance of measured environmental pollutants, Person correlation coefficients have been calculated and are presented in Table 6. Regarding the correlations involving pollutants in the living area (L) and also the child’s bedroom (C), PM2.five , HCHO, acetaldehyde, settled fungi and DEHP presented strongly positive correlations (r 0.85, p 0.01), even though TVOCs and DBP showed moderate correlations (r 0.7, p 0.05). It was fairly clear that PM2.5 in particular, substantial correlations had been located in between living rooms and child’s bedrooms, in 5 cities aside from Shanghai. Moreover, indoor PM2.5 concentrations were considerably correlated with outdoors (r 0.9, p 0.01), as a result suggesting that outside PM2.five pollution has a strong influence on indoor PM2.five pollution.Table six. Pearson correlation coefficients for household environmental pollutants in six cities.Websites Harbin Environmental Pollutants PM2.five (L) Airborne fungi (L) PM2.5 (L) Airborne fungi (L) Settled fungi (L) Settled fungi (L) PM2.five (L) PM2.five (L) PM2.5 (C) HCHO (L) HCHO (C) Airborne fungi (L) Airborne fungi (C) Settled fungi (L) Settled fungi (C) Settled fungi (C) DEHP (L) HCHO (L) Acetaldehyde (L) Airborne fungi (L) Settled fungi (L) PM2.five (L) PM2.five (L) PM2.5 (C) HCHO (L) Acetaldehyde (L) HCHO (L) HCHO (C) DBP (L) PM2.five (L) PM2.5 (L) PM2.5 (C) TVOCs (L) Other Environmental Pollutants PM2.5 (C) Airborne fungi (C) PM2.five (C) Airborne fungi (C) DBP (L) DEHP (L) PM2.5 (C) PM2.5 (O) PM2.5 (O) Acetaldehyde (L) Acetaldehyde (C) Airborne fungi (C) PM2.five (C) Settled fungi (C) DEHP (C) DBP (C) DEHP (C) HCHO (C) Acetaldehyde (C) Airborne fungi (C) PM2.five (L) PM2.5 (C) PM2.five (O) PM2.5 (O) HCHO (C) Acetaldehyde (C) Acetaldehyde (L) Acetaldehyde (C) DBP (C) PM2.5 (C) PM2.five (O) PM2.5 (O) TVOCs (C) Correlation Coefficient (r) 0.946 0.998 0.905 0.971 0.689 0.72 0.98 0.862 0.874 0.801 0.775 0.886 0.892 0.974 0.758 0.805 0.873 0.833 0.904 0.76 0.660 0.965 0.927 0.879 0.879 0.946 0.982 0.96 0.778 0.958 0.977 0.921 0.746 Sig. (2-Tailed) (p) 0.004 0.000 0.000 0.000 0.04 0.029 0.000 0.001 0.001 0.004 0.007 0.000 0.000 0.000 0.042 0.034 0.000 0.003 0.000 0.011 0.038 0.002 0.008 0.021 0.009 0.001 0.000 0.001 0.039 0.000 0.000 0.000 0.DalianBeijing [45]Shanghai [46]WuhanChangsha [48]L: living space; C: child’s bedroom; O: outside. p 0.05; p 0.01.Int. J. Environ. Res. Public Well being 2017, 14,16 ofFrom the above outcomes, a correl.