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
Induce a little amount of cytokine production by glial cells in
Induce a compact amount of cytokine production by glial cells in response to pT-ODN signaling. pT-ODNs PubMed ID:http://www.ncbi.nlm.nih.gov/pubmed/19888030 induced a low level of CCL2 and CXCL10 in each wildtype and TLR7-deficient mice. Moreover, a slight but insignificant increase in Ifnb1 mRNA expression was also observed. These responses were not observed in glial cells derived from […]
Ted to retain the structural integrity of your intestinal mucosal epithelium, and altering this balance
Ted to retain the structural integrity of your intestinal mucosal epithelium, and altering this balance can have pathological consequences. There is a developing body of literature showing that excessive cell death is related with chronic inflammation, as observed in sufferers with IBD, and this could contribute to IBD pathophysiology.14,15 Two important cell death pathways, the […]
Ammonium dihydrogen phosphate, 98%
Product Name : Ammonium dihydrogen phosphate, 98%Synonym: IUPAC Name : phosphoric acid amineCAS NO.:7722-76-1Molecular Weight : Molecular formula: H6NO4PSmiles: N.OP(O)(O)=ODescription: Ammonium dihydrogen phosphate is widely utilized as a fertilizer, which provides phosphorous and nitrogen for plants. It is used as a dry fire extinguisher.RI-1 It is a well known nonlinear optical material for various optoelectronic […]