No education 1126 (17.16) Primary 1840 (28.03) Secondary 3004 (45.78) Protein kinase inhibitor H-89 dihydrochloride web Higher 593 (9.03) Mothers occupation House maker/No 4651 (70.86) formal occupation Poultry/Farming/ 1117 (17.02) Cultivation Qualified 795 (12.12) Number of kids Significantly less than 3 4174 (63.60) 3 And above 2389 (36.40) Quantity of kids <5 years old One 4213 (64.19) Two and above 2350 (35.81) Division Barisal 373 (5.68) Chittagong 1398 (21.30) Dhaka 2288 (34.87) Khulna 498 (7.60)(62.43, 64.76) (35.24, 37.57) (84.76, 86.46) (13.54, 15.24) (66.06, 68.33) (31.67, 33.94) (25.63, 25.93) (12.70, 14.35) (77.30, 79.29) (7.55, 8.88) (16.27, 18.09) (26.96, 29.13) (44.57, 46.98) (8.36, 9.78) (69.75, 71.95) (16.13, 17.95) (11.35, 12.93) (62.43, 64.76) (35.24, 37.57)2901 (44.19) 3663 (55.81)(43.00, 45.40) (54.60, 57.00)6417 (97.77) 146 (2.23) 4386 (66.83) 2177 (33.17) 4541 (69.19) 2022 (30.81)(97.39, 98.10) (1.90, 2.61) (65.68, 67.96) (32.04, 34.32) (68.06, 70.29) (29.71, 31.94)Categorized based on BDHS report, 2014.the households, diarrheal prevalence was higher in the lower socioeconomic status households (see Table 2). Such a disparity was not found for type of residence. A high prevalence was observed in households that had no access to electronic media (5.91 vs 5.47) and source of drinking water (6.73 vs 5.69) and had unimproved toilet facilities (6.78 vs 5.18).Factors Associated With Childhood DiarrheaTable 2 shows the factors influencing diarrheal prevalence. For this purpose, 2 models were considered: using bivariate logistic regression analysis (model I) and using multivariate logistic regression analysis (model II) to control for any possible confounding effects. We used both unINK-128 Adjusted and adjusted ORs to address the effects of single a0023781 variables. In model I, many variables for instance the age in the kids, age-specific height, age and occupations in the mothers, divisionwise distribution, and type of toilet facilities were found to become substantially connected with the prevalence of(63.02, 65.34) (34.66, 36.98) (five.15, six.27) (20.33, 22.31) (33.72, 36.03) (6.98, 8.26) (continued)Sarker et alTable two. Prevalence and Related Variables of Childhood Diarrhea.a Prevalence of Diarrhea, n ( ) 75 (six.25) 121 (8.62) 68 (five.19) 48 (three.71) 62 (4.62) 201 (5.88) 174 (five.53) Model I Unadjusted OR (95 CI) 1.73*** (1.19, 2.50) 2.45*** (1.74, three.45) 1.42* (0.97, 2.07) 1.00 1.26 (0.86, 1.85) 1.07 (0.87, 1.31) 1.00 Model II Adjusted OR (95 CI) 1.88*** (1.27, 2.77) two.44*** (1.72, 3.47) 1.46* (1.00, two.14) 1.00 1.31 (0.88, 1.93) 1.06 (0.85, 1.31) 1.Variables Child’s age (in months) <12 12-23 24-35 36-47 (reference) 48-59 Sex of children Male Female (reference) Nutritional index HAZ Normal (reference) Stunting WHZ Normal (reference) Wasting WAZ Normal (reference) Underweight Mother's age (years) Less than 20 20-34 Above 34 (reference) Mother's education level No education Primary Secondary Higher (reference) Mother's occupation Homemaker/No formal occupation Poultry/Farming/Cultivation (reference) Professional Number of children Less than 3 (reference) 3 And above Number of children <5 years old One (reference) Two and above Division Barisal Chittagong Dhaka Khulna Rajshahi Rangpur (reference) Sylhet Residence Urban (reference) Rural200 (4.80) 175 (7.31) 326 (5.80) 49 (5.18) 255 journal.pone.0169185 (5.79) 120 (5.56) 54 (six.06) 300 (5.84) 21 (three.88) 70 (six.19) 108 (five.89) 169 (five.63) 28 (4.68) 298 (six.40) 38 (3.37) 40 (4.98) 231 (five.54) 144 (6.02) 231 (5.48) 144 (six.13) 26 (7.01) 93 (6.68) 160 (six.98) 17 (3.36) 25 (three.65) 12 (1.81).No education 1126 (17.16) Primary 1840 (28.03) Secondary 3004 (45.78) Larger 593 (9.03) Mothers occupation Home maker/No 4651 (70.86) formal occupation Poultry/Farming/ 1117 (17.02) Cultivation Skilled 795 (12.12) Quantity of children Less than 3 4174 (63.60) three And above 2389 (36.40) Number of young children <5 years old One 4213 (64.19) Two and above 2350 (35.81) Division Barisal 373 (5.68) Chittagong 1398 (21.30) Dhaka 2288 (34.87) Khulna 498 (7.60)(62.43, 64.76) (35.24, 37.57) (84.76, 86.46) (13.54, 15.24) (66.06, 68.33) (31.67, 33.94) (25.63, 25.93) (12.70, 14.35) (77.30, 79.29) (7.55, 8.88) (16.27, 18.09) (26.96, 29.13) (44.57, 46.98) (8.36, 9.78) (69.75, 71.95) (16.13, 17.95) (11.35, 12.93) (62.43, 64.76) (35.24, 37.57)2901 (44.19) 3663 (55.81)(43.00, 45.40) (54.60, 57.00)6417 (97.77) 146 (2.23) 4386 (66.83) 2177 (33.17) 4541 (69.19) 2022 (30.81)(97.39, 98.10) (1.90, 2.61) (65.68, 67.96) (32.04, 34.32) (68.06, 70.29) (29.71, 31.94)Categorized based on BDHS report, 2014.the households, diarrheal prevalence was higher in the lower socioeconomic status households (see Table 2). Such a disparity was not found for type of residence. A high prevalence was observed in households that had no access to electronic media (5.91 vs 5.47) and source of drinking water (6.73 vs 5.69) and had unimproved toilet facilities (6.78 vs 5.18).Factors Associated With Childhood DiarrheaTable 2 shows the factors influencing diarrheal prevalence. For this purpose, 2 models were considered: using bivariate logistic regression analysis (model I) and using multivariate logistic regression analysis (model II) to control for any possible confounding effects. We used both unadjusted and adjusted ORs to address the effects of single a0023781 aspects. In model I, various elements for instance the age of your young children, age-specific height, age and occupations from the mothers, divisionwise distribution, and variety of toilet facilities were found to be considerably related to the prevalence of(63.02, 65.34) (34.66, 36.98) (5.15, six.27) (20.33, 22.31) (33.72, 36.03) (6.98, 8.26) (continued)Sarker et alTable 2. Prevalence and Related Things of Childhood Diarrhea.a Prevalence of Diarrhea, n ( ) 75 (six.25) 121 (8.62) 68 (5.19) 48 (3.71) 62 (4.62) 201 (five.88) 174 (five.53) Model I Unadjusted OR (95 CI) 1.73*** (1.19, 2.50) 2.45*** (1.74, three.45) 1.42* (0.97, 2.07) 1.00 1.26 (0.86, 1.85) 1.07 (0.87, 1.31) 1.00 Model II Adjusted OR (95 CI) 1.88*** (1.27, two.77) 2.44*** (1.72, three.47) 1.46* (1.00, two.14) 1.00 1.31 (0.88, 1.93) 1.06 (0.85, 1.31) 1.Variables Child’s age (in months) <12 12-23 24-35 36-47 (reference) 48-59 Sex of children Male Female (reference) Nutritional index HAZ Normal (reference) Stunting WHZ Normal (reference) Wasting WAZ Normal (reference) Underweight Mother's age (years) Less than 20 20-34 Above 34 (reference) Mother's education level No education Primary Secondary Higher (reference) Mother's occupation Homemaker/No formal occupation Poultry/Farming/Cultivation (reference) Professional Number of children Less than 3 (reference) 3 And above Number of children <5 years old One (reference) Two and above Division Barisal Chittagong Dhaka Khulna Rajshahi Rangpur (reference) Sylhet Residence Urban (reference) Rural200 (4.80) 175 (7.31) 326 (5.80) 49 (5.18) 255 journal.pone.0169185 (5.79) 120 (5.56) 54 (six.06) 300 (five.84) 21 (3.88) 70 (six.19) 108 (5.89) 169 (five.63) 28 (4.68) 298 (six.40) 38 (three.37) 40 (4.98) 231 (5.54) 144 (six.02) 231 (5.48) 144 (6.13) 26 (7.01) 93 (six.68) 160 (6.98) 17 (3.36) 25 (3.65) 12 (1.81).
Related Posts
N contrast for the conserved Acyltransferase Inhibitors Reagents ligand sequence order, activesite geometry, and adjacent
N contrast for the conserved Acyltransferase Inhibitors Reagents ligand sequence order, activesite geometry, and adjacent positive side chain of Arg144, the structure and character of your channel accountable for longrange electrostatic recognition are dramatically various involving P and Eclass CuZnSODs (Fig. four a and b). The sequence basis for this distinction may be the 4residue […]
Wed P (phosphorylated)-PKC within the MAECs was enhanced in KO mice compared with WT mice,
Wed P (phosphorylated)-PKC within the MAECs was enhanced in KO mice compared with WT mice, whilst the expression of P-PKC inside the MAECs was significantly decreased in MYDGF-replenished mice compared with AAV-GFP mice (fig. S16, A and B). Even so, the expression of P-PKC, P-PKC, or P-PKC was not affected by MYDGF (fig. S16, A […]
Sing from a reduction of MMP, was observed in cells supplementedSing from a reduction of
Sing from a reduction of MMP, was observed in cells supplementedSing from a reduction of MMP, was observed in cells supplemented with all the particles and irradiated with light. A 22 decrease within the JC-10 aggregate/JC-10 monomer ratio was discovered in HaCaT cells incubated with one hundred /mL of winter Phospholipase A Inhibitor Species ambient […]