No education 1126 (17.16) Primary 1840 (28.03) Secondary 3004 (45.78) Larger 593 (9.03) Mothers occupation Property maker/No 4651 (70.86) formal occupation Poultry/Farming/ 1117 (17.02) Cultivation Expert 795 (12.12) Number of youngsters Less than 3 4174 (63.60) three And above 2389 (36.40) Quantity of 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 CUDC-907 biological activity 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, a number of things including the age of your young children, age-specific height, age and occupations in the mothers, divisionwise distribution, and type of toilet facilities had been found to be substantially associated with the prevalence of(63.02, 65.34) (34.66, 36.98) (5.15, 6.27) (20.33, 22.31) (33.72, 36.03) (six.98, eight.26) (continued)buy momelotinib Sarker et alTable 2. Prevalence and Related Things of Childhood Diarrhea.a Prevalence of Diarrhea, n ( ) 75 (six.25) 121 (eight.62) 68 (five.19) 48 (3.71) 62 (four.62) 201 (five.88) 174 (five.53) Model I Unadjusted OR (95 CI) 1.73*** (1.19, two.50) 2.45*** (1.74, 3.45) 1.42* (0.97, two.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 (five.56) 54 (six.06) 300 (five.84) 21 (three.88) 70 (six.19) 108 (five.89) 169 (5.63) 28 (4.68) 298 (six.40) 38 (3.37) 40 (4.98) 231 (5.54) 144 (six.02) 231 (five.48) 144 (six.13) 26 (7.01) 93 (six.68) 160 (6.98) 17 (3.36) 25 (3.65) 12 (1.81).No education 1126 (17.16) Key 1840 (28.03) Secondary 3004 (45.78) Higher 593 (9.03) Mothers occupation Home maker/No 4651 (70.86) formal occupation Poultry/Farming/ 1117 (17.02) Cultivation Expert 795 (12.12) Quantity of youngsters Less than 3 4174 (63.60) three 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 unadjusted and adjusted ORs to address the effects of single a0023781 aspects. In model I, a number of things for instance the age with the youngsters, age-specific height, age and occupations of your mothers, divisionwise distribution, and form of toilet facilities have been located to be 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) (six.98, eight.26) (continued)Sarker et alTable 2. Prevalence and Connected Elements of Childhood Diarrhea.a Prevalence of Diarrhea, n ( ) 75 (6.25) 121 (eight.62) 68 (five.19) 48 (3.71) 62 (four.62) 201 (five.88) 174 (five.53) Model I Unadjusted OR (95 CI) 1.73*** (1.19, 2.50) two.45*** (1.74, three.45) 1.42* (0.97, two.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, 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 (6.06) 300 (5.84) 21 (three.88) 70 (6.19) 108 (five.89) 169 (five.63) 28 (four.68) 298 (6.40) 38 (three.37) 40 (4.98) 231 (5.54) 144 (6.02) 231 (5.48) 144 (6.13) 26 (7.01) 93 (six.68) 160 (six.98) 17 (three.36) 25 (3.65) 12 (1.81).
Related Posts
Well as the economic tradeoffs. This information would be helpful for
Properly as the financial tradeoffs. This information would be beneficial for policy makers when deciding on strategies for estimating carbonPLOS A single | www.plosone.orgEstimating Carbon Biomass in a Restored WetlandAcknowledgmentsThe authors would prefer to thank Bud Needham for sharing his insights about restoration monitoring, Anna Fedders for aid in the field, as well as the […]
Angmuir and Freundlich ADT-OH Purity & Documentation isotherms had been applied to establish the interaction
Angmuir and Freundlich ADT-OH Purity & Documentation isotherms had been applied to establish the interaction amongst the metal ions; Cr6+ , Pb 2+ , Cd2+ and Zn2+ plus the adsorbent, functionalized activated carbon (FAC). Equation (four) Cambendazole Autophagy represents the Langmuir isotherm followed by Equation (5) for its straight line. Equation (six) represents the Freundlich […]
The efficiencyPV panels turned out to be to be significantly reduceThe efficiencyPV panels turned out
The efficiencyPV panels turned out to be to be significantly reduceThe efficiencyPV panels turned out to become to be substantially reduced and amounted to 13 .highest efficiency of of PV panels turned out considerably PDGF-BB Protein In stock decrease and amounted to 13 . Their Their highest efficiency was in February. The annual distribution of […]