Risk factors associated with underweight status in children under five: an analysis of the 2010 Rwanda Demographic Health Survey (RDHS)
Background Under-nutrition contributes to childhood morbidity and mortality, particularly in low-income countries. While Rwanda is one of few countries on track to reduce the prevalence of underweight children under five years old by 50 % from 1990 to 2015 (a target of Millennium Development Goal1),...
Ausführliche Beschreibung
Autor*in: |
Mukabutera, Assumpta [verfasserIn] |
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E-Artikel |
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Englisch |
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2016 |
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Anmerkung: |
© The Author(s). 2016 |
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Übergeordnetes Werk: |
Enthalten in: BMC nutrition - London : BioMed Central, 2015, 2(2016), 1 vom: 08. Juli |
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Übergeordnetes Werk: |
volume:2 ; year:2016 ; number:1 ; day:08 ; month:07 |
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DOI / URN: |
10.1186/s40795-016-0078-2 |
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SPR037770543 |
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520 | |a Background Under-nutrition contributes to childhood morbidity and mortality, particularly in low-income countries. While Rwanda is one of few countries on track to reduce the prevalence of underweight children under five years old by 50 % from 1990 to 2015 (a target of Millennium Development Goal1), underweight children remain a large public health problem with one out of ten children having low weight-for-age. Methods We performed a cross-sectional study using 2010 RDHS data on 4177 children under five years of age with weight and height measurements. Children were classified as underweight if their weight-for-age Z scores (WAZs) were <2 standard deviations (SD) and severely underweight if WAZs were <3 SD from the mean of the reference population. We used multivariable logistic regression model to identify child, maternal, and household characteristics associated with being underweight. Results Eleven percent (469) of the 4177 children sampled were underweight and 2.2 % (90) were severely underweight. After adjusting for possible confounders, we found that children were more likely to be underweight if they were male (OR = 1.42, 95 % confidence interval (CI):1.12, 1.79); had fever in the two weeks prior to survey administration (OR = 1.45, 95 % CI:1.07, 1.97) or were non-singletons compared to first-born singletons (OR = 4.04, 95 % CI:2.12, 7.71). Mothers were more likely to have underweight children if they were over 35 years of age compared to those age 17–24 years (OR = 1.67, 95 % CI:1.04, 2.70); with BMI <18.5 compared to BMI between 18.5 to 24.9 (OR = 2.62, 95 % CI:1.70, 4.04), who had no education or primary education only (OR = 3.56, 95 % CI:1.83, 6.95; OR = 3.49, 95 % CI:1.87, 6.51, respectively) compared to secondary education or higher, and those who did not have delivery assisted by a skilled provider (OR = 1.33, 95 % CI:1.04, 1.72). Household characteristics associated with underweight children included status in the bottom two wealth quintiles compared to the highest (OR = 1.71, 95 % CI:1.27, 2.30). Conclusion Rwanda was one of the first countries to achieve Millennium Development Goal1. However, even in light of this success, the prevalence of underweight children remains high. Our analysis of specific child, maternal and household risk factors for under-nutrition may help identify potential interventions to address this remaining burden. | ||
650 | 4 | |a Africa |7 (dpeaa)DE-He213 | |
650 | 4 | |a Under-nutrition |7 (dpeaa)DE-He213 | |
650 | 4 | |a DHS |7 (dpeaa)DE-He213 | |
650 | 4 | |a Underweight |7 (dpeaa)DE-He213 | |
700 | 1 | |a Thomson, Dana R. |4 aut | |
700 | 1 | |a Hedt-Gauthier, Bethany L. |4 aut | |
700 | 1 | |a Basinga, Paulin |4 aut | |
700 | 1 | |a Nyirazinyoye, Laetitia |4 aut | |
700 | 1 | |a Murray, Megan |4 aut | |
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10.1186/s40795-016-0078-2 doi (DE-627)SPR037770543 (SPR)s40795-016-0078-2-e DE-627 ger DE-627 rakwb eng Mukabutera, Assumpta verfasserin aut Risk factors associated with underweight status in children under five: an analysis of the 2010 Rwanda Demographic Health Survey (RDHS) 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2016 Background Under-nutrition contributes to childhood morbidity and mortality, particularly in low-income countries. While Rwanda is one of few countries on track to reduce the prevalence of underweight children under five years old by 50 % from 1990 to 2015 (a target of Millennium Development Goal1), underweight children remain a large public health problem with one out of ten children having low weight-for-age. Methods We performed a cross-sectional study using 2010 RDHS data on 4177 children under five years of age with weight and height measurements. Children were classified as underweight if their weight-for-age Z scores (WAZs) were <2 standard deviations (SD) and severely underweight if WAZs were <3 SD from the mean of the reference population. We used multivariable logistic regression model to identify child, maternal, and household characteristics associated with being underweight. Results Eleven percent (469) of the 4177 children sampled were underweight and 2.2 % (90) were severely underweight. After adjusting for possible confounders, we found that children were more likely to be underweight if they were male (OR = 1.42, 95 % confidence interval (CI):1.12, 1.79); had fever in the two weeks prior to survey administration (OR = 1.45, 95 % CI:1.07, 1.97) or were non-singletons compared to first-born singletons (OR = 4.04, 95 % CI:2.12, 7.71). Mothers were more likely to have underweight children if they were over 35 years of age compared to those age 17–24 years (OR = 1.67, 95 % CI:1.04, 2.70); with BMI <18.5 compared to BMI between 18.5 to 24.9 (OR = 2.62, 95 % CI:1.70, 4.04), who had no education or primary education only (OR = 3.56, 95 % CI:1.83, 6.95; OR = 3.49, 95 % CI:1.87, 6.51, respectively) compared to secondary education or higher, and those who did not have delivery assisted by a skilled provider (OR = 1.33, 95 % CI:1.04, 1.72). Household characteristics associated with underweight children included status in the bottom two wealth quintiles compared to the highest (OR = 1.71, 95 % CI:1.27, 2.30). Conclusion Rwanda was one of the first countries to achieve Millennium Development Goal1. However, even in light of this success, the prevalence of underweight children remains high. Our analysis of specific child, maternal and household risk factors for under-nutrition may help identify potential interventions to address this remaining burden. Africa (dpeaa)DE-He213 Under-nutrition (dpeaa)DE-He213 DHS (dpeaa)DE-He213 Underweight (dpeaa)DE-He213 Thomson, Dana R. aut Hedt-Gauthier, Bethany L. aut Basinga, Paulin aut Nyirazinyoye, Laetitia aut Murray, Megan aut Enthalten in BMC nutrition London : BioMed Central, 2015 2(2016), 1 vom: 08. Juli (DE-627)818041994 (DE-600)2809847-X 2055-0928 nnns volume:2 year:2016 number:1 day:08 month:07 https://dx.doi.org/10.1186/s40795-016-0078-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2016 1 08 07 |
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10.1186/s40795-016-0078-2 doi (DE-627)SPR037770543 (SPR)s40795-016-0078-2-e DE-627 ger DE-627 rakwb eng Mukabutera, Assumpta verfasserin aut Risk factors associated with underweight status in children under five: an analysis of the 2010 Rwanda Demographic Health Survey (RDHS) 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2016 Background Under-nutrition contributes to childhood morbidity and mortality, particularly in low-income countries. While Rwanda is one of few countries on track to reduce the prevalence of underweight children under five years old by 50 % from 1990 to 2015 (a target of Millennium Development Goal1), underweight children remain a large public health problem with one out of ten children having low weight-for-age. Methods We performed a cross-sectional study using 2010 RDHS data on 4177 children under five years of age with weight and height measurements. Children were classified as underweight if their weight-for-age Z scores (WAZs) were <2 standard deviations (SD) and severely underweight if WAZs were <3 SD from the mean of the reference population. We used multivariable logistic regression model to identify child, maternal, and household characteristics associated with being underweight. Results Eleven percent (469) of the 4177 children sampled were underweight and 2.2 % (90) were severely underweight. After adjusting for possible confounders, we found that children were more likely to be underweight if they were male (OR = 1.42, 95 % confidence interval (CI):1.12, 1.79); had fever in the two weeks prior to survey administration (OR = 1.45, 95 % CI:1.07, 1.97) or were non-singletons compared to first-born singletons (OR = 4.04, 95 % CI:2.12, 7.71). Mothers were more likely to have underweight children if they were over 35 years of age compared to those age 17–24 years (OR = 1.67, 95 % CI:1.04, 2.70); with BMI <18.5 compared to BMI between 18.5 to 24.9 (OR = 2.62, 95 % CI:1.70, 4.04), who had no education or primary education only (OR = 3.56, 95 % CI:1.83, 6.95; OR = 3.49, 95 % CI:1.87, 6.51, respectively) compared to secondary education or higher, and those who did not have delivery assisted by a skilled provider (OR = 1.33, 95 % CI:1.04, 1.72). Household characteristics associated with underweight children included status in the bottom two wealth quintiles compared to the highest (OR = 1.71, 95 % CI:1.27, 2.30). Conclusion Rwanda was one of the first countries to achieve Millennium Development Goal1. However, even in light of this success, the prevalence of underweight children remains high. Our analysis of specific child, maternal and household risk factors for under-nutrition may help identify potential interventions to address this remaining burden. Africa (dpeaa)DE-He213 Under-nutrition (dpeaa)DE-He213 DHS (dpeaa)DE-He213 Underweight (dpeaa)DE-He213 Thomson, Dana R. aut Hedt-Gauthier, Bethany L. aut Basinga, Paulin aut Nyirazinyoye, Laetitia aut Murray, Megan aut Enthalten in BMC nutrition London : BioMed Central, 2015 2(2016), 1 vom: 08. Juli (DE-627)818041994 (DE-600)2809847-X 2055-0928 nnns volume:2 year:2016 number:1 day:08 month:07 https://dx.doi.org/10.1186/s40795-016-0078-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2016 1 08 07 |
allfields_unstemmed |
10.1186/s40795-016-0078-2 doi (DE-627)SPR037770543 (SPR)s40795-016-0078-2-e DE-627 ger DE-627 rakwb eng Mukabutera, Assumpta verfasserin aut Risk factors associated with underweight status in children under five: an analysis of the 2010 Rwanda Demographic Health Survey (RDHS) 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2016 Background Under-nutrition contributes to childhood morbidity and mortality, particularly in low-income countries. While Rwanda is one of few countries on track to reduce the prevalence of underweight children under five years old by 50 % from 1990 to 2015 (a target of Millennium Development Goal1), underweight children remain a large public health problem with one out of ten children having low weight-for-age. Methods We performed a cross-sectional study using 2010 RDHS data on 4177 children under five years of age with weight and height measurements. Children were classified as underweight if their weight-for-age Z scores (WAZs) were <2 standard deviations (SD) and severely underweight if WAZs were <3 SD from the mean of the reference population. We used multivariable logistic regression model to identify child, maternal, and household characteristics associated with being underweight. Results Eleven percent (469) of the 4177 children sampled were underweight and 2.2 % (90) were severely underweight. After adjusting for possible confounders, we found that children were more likely to be underweight if they were male (OR = 1.42, 95 % confidence interval (CI):1.12, 1.79); had fever in the two weeks prior to survey administration (OR = 1.45, 95 % CI:1.07, 1.97) or were non-singletons compared to first-born singletons (OR = 4.04, 95 % CI:2.12, 7.71). Mothers were more likely to have underweight children if they were over 35 years of age compared to those age 17–24 years (OR = 1.67, 95 % CI:1.04, 2.70); with BMI <18.5 compared to BMI between 18.5 to 24.9 (OR = 2.62, 95 % CI:1.70, 4.04), who had no education or primary education only (OR = 3.56, 95 % CI:1.83, 6.95; OR = 3.49, 95 % CI:1.87, 6.51, respectively) compared to secondary education or higher, and those who did not have delivery assisted by a skilled provider (OR = 1.33, 95 % CI:1.04, 1.72). Household characteristics associated with underweight children included status in the bottom two wealth quintiles compared to the highest (OR = 1.71, 95 % CI:1.27, 2.30). Conclusion Rwanda was one of the first countries to achieve Millennium Development Goal1. However, even in light of this success, the prevalence of underweight children remains high. Our analysis of specific child, maternal and household risk factors for under-nutrition may help identify potential interventions to address this remaining burden. Africa (dpeaa)DE-He213 Under-nutrition (dpeaa)DE-He213 DHS (dpeaa)DE-He213 Underweight (dpeaa)DE-He213 Thomson, Dana R. aut Hedt-Gauthier, Bethany L. aut Basinga, Paulin aut Nyirazinyoye, Laetitia aut Murray, Megan aut Enthalten in BMC nutrition London : BioMed Central, 2015 2(2016), 1 vom: 08. Juli (DE-627)818041994 (DE-600)2809847-X 2055-0928 nnns volume:2 year:2016 number:1 day:08 month:07 https://dx.doi.org/10.1186/s40795-016-0078-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2016 1 08 07 |
allfieldsGer |
10.1186/s40795-016-0078-2 doi (DE-627)SPR037770543 (SPR)s40795-016-0078-2-e DE-627 ger DE-627 rakwb eng Mukabutera, Assumpta verfasserin aut Risk factors associated with underweight status in children under five: an analysis of the 2010 Rwanda Demographic Health Survey (RDHS) 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2016 Background Under-nutrition contributes to childhood morbidity and mortality, particularly in low-income countries. While Rwanda is one of few countries on track to reduce the prevalence of underweight children under five years old by 50 % from 1990 to 2015 (a target of Millennium Development Goal1), underweight children remain a large public health problem with one out of ten children having low weight-for-age. Methods We performed a cross-sectional study using 2010 RDHS data on 4177 children under five years of age with weight and height measurements. Children were classified as underweight if their weight-for-age Z scores (WAZs) were <2 standard deviations (SD) and severely underweight if WAZs were <3 SD from the mean of the reference population. We used multivariable logistic regression model to identify child, maternal, and household characteristics associated with being underweight. Results Eleven percent (469) of the 4177 children sampled were underweight and 2.2 % (90) were severely underweight. After adjusting for possible confounders, we found that children were more likely to be underweight if they were male (OR = 1.42, 95 % confidence interval (CI):1.12, 1.79); had fever in the two weeks prior to survey administration (OR = 1.45, 95 % CI:1.07, 1.97) or were non-singletons compared to first-born singletons (OR = 4.04, 95 % CI:2.12, 7.71). Mothers were more likely to have underweight children if they were over 35 years of age compared to those age 17–24 years (OR = 1.67, 95 % CI:1.04, 2.70); with BMI <18.5 compared to BMI between 18.5 to 24.9 (OR = 2.62, 95 % CI:1.70, 4.04), who had no education or primary education only (OR = 3.56, 95 % CI:1.83, 6.95; OR = 3.49, 95 % CI:1.87, 6.51, respectively) compared to secondary education or higher, and those who did not have delivery assisted by a skilled provider (OR = 1.33, 95 % CI:1.04, 1.72). Household characteristics associated with underweight children included status in the bottom two wealth quintiles compared to the highest (OR = 1.71, 95 % CI:1.27, 2.30). Conclusion Rwanda was one of the first countries to achieve Millennium Development Goal1. However, even in light of this success, the prevalence of underweight children remains high. Our analysis of specific child, maternal and household risk factors for under-nutrition may help identify potential interventions to address this remaining burden. Africa (dpeaa)DE-He213 Under-nutrition (dpeaa)DE-He213 DHS (dpeaa)DE-He213 Underweight (dpeaa)DE-He213 Thomson, Dana R. aut Hedt-Gauthier, Bethany L. aut Basinga, Paulin aut Nyirazinyoye, Laetitia aut Murray, Megan aut Enthalten in BMC nutrition London : BioMed Central, 2015 2(2016), 1 vom: 08. Juli (DE-627)818041994 (DE-600)2809847-X 2055-0928 nnns volume:2 year:2016 number:1 day:08 month:07 https://dx.doi.org/10.1186/s40795-016-0078-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2016 1 08 07 |
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10.1186/s40795-016-0078-2 doi (DE-627)SPR037770543 (SPR)s40795-016-0078-2-e DE-627 ger DE-627 rakwb eng Mukabutera, Assumpta verfasserin aut Risk factors associated with underweight status in children under five: an analysis of the 2010 Rwanda Demographic Health Survey (RDHS) 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s). 2016 Background Under-nutrition contributes to childhood morbidity and mortality, particularly in low-income countries. While Rwanda is one of few countries on track to reduce the prevalence of underweight children under five years old by 50 % from 1990 to 2015 (a target of Millennium Development Goal1), underweight children remain a large public health problem with one out of ten children having low weight-for-age. Methods We performed a cross-sectional study using 2010 RDHS data on 4177 children under five years of age with weight and height measurements. Children were classified as underweight if their weight-for-age Z scores (WAZs) were <2 standard deviations (SD) and severely underweight if WAZs were <3 SD from the mean of the reference population. We used multivariable logistic regression model to identify child, maternal, and household characteristics associated with being underweight. Results Eleven percent (469) of the 4177 children sampled were underweight and 2.2 % (90) were severely underweight. After adjusting for possible confounders, we found that children were more likely to be underweight if they were male (OR = 1.42, 95 % confidence interval (CI):1.12, 1.79); had fever in the two weeks prior to survey administration (OR = 1.45, 95 % CI:1.07, 1.97) or were non-singletons compared to first-born singletons (OR = 4.04, 95 % CI:2.12, 7.71). Mothers were more likely to have underweight children if they were over 35 years of age compared to those age 17–24 years (OR = 1.67, 95 % CI:1.04, 2.70); with BMI <18.5 compared to BMI between 18.5 to 24.9 (OR = 2.62, 95 % CI:1.70, 4.04), who had no education or primary education only (OR = 3.56, 95 % CI:1.83, 6.95; OR = 3.49, 95 % CI:1.87, 6.51, respectively) compared to secondary education or higher, and those who did not have delivery assisted by a skilled provider (OR = 1.33, 95 % CI:1.04, 1.72). Household characteristics associated with underweight children included status in the bottom two wealth quintiles compared to the highest (OR = 1.71, 95 % CI:1.27, 2.30). Conclusion Rwanda was one of the first countries to achieve Millennium Development Goal1. However, even in light of this success, the prevalence of underweight children remains high. Our analysis of specific child, maternal and household risk factors for under-nutrition may help identify potential interventions to address this remaining burden. Africa (dpeaa)DE-He213 Under-nutrition (dpeaa)DE-He213 DHS (dpeaa)DE-He213 Underweight (dpeaa)DE-He213 Thomson, Dana R. aut Hedt-Gauthier, Bethany L. aut Basinga, Paulin aut Nyirazinyoye, Laetitia aut Murray, Megan aut Enthalten in BMC nutrition London : BioMed Central, 2015 2(2016), 1 vom: 08. Juli (DE-627)818041994 (DE-600)2809847-X 2055-0928 nnns volume:2 year:2016 number:1 day:08 month:07 https://dx.doi.org/10.1186/s40795-016-0078-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2016 1 08 07 |
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Risk factors associated with underweight status in children under five: an analysis of the 2010 Rwanda Demographic Health Survey (RDHS) |
abstract |
Background Under-nutrition contributes to childhood morbidity and mortality, particularly in low-income countries. While Rwanda is one of few countries on track to reduce the prevalence of underweight children under five years old by 50 % from 1990 to 2015 (a target of Millennium Development Goal1), underweight children remain a large public health problem with one out of ten children having low weight-for-age. Methods We performed a cross-sectional study using 2010 RDHS data on 4177 children under five years of age with weight and height measurements. Children were classified as underweight if their weight-for-age Z scores (WAZs) were <2 standard deviations (SD) and severely underweight if WAZs were <3 SD from the mean of the reference population. We used multivariable logistic regression model to identify child, maternal, and household characteristics associated with being underweight. Results Eleven percent (469) of the 4177 children sampled were underweight and 2.2 % (90) were severely underweight. After adjusting for possible confounders, we found that children were more likely to be underweight if they were male (OR = 1.42, 95 % confidence interval (CI):1.12, 1.79); had fever in the two weeks prior to survey administration (OR = 1.45, 95 % CI:1.07, 1.97) or were non-singletons compared to first-born singletons (OR = 4.04, 95 % CI:2.12, 7.71). Mothers were more likely to have underweight children if they were over 35 years of age compared to those age 17–24 years (OR = 1.67, 95 % CI:1.04, 2.70); with BMI <18.5 compared to BMI between 18.5 to 24.9 (OR = 2.62, 95 % CI:1.70, 4.04), who had no education or primary education only (OR = 3.56, 95 % CI:1.83, 6.95; OR = 3.49, 95 % CI:1.87, 6.51, respectively) compared to secondary education or higher, and those who did not have delivery assisted by a skilled provider (OR = 1.33, 95 % CI:1.04, 1.72). Household characteristics associated with underweight children included status in the bottom two wealth quintiles compared to the highest (OR = 1.71, 95 % CI:1.27, 2.30). Conclusion Rwanda was one of the first countries to achieve Millennium Development Goal1. However, even in light of this success, the prevalence of underweight children remains high. Our analysis of specific child, maternal and household risk factors for under-nutrition may help identify potential interventions to address this remaining burden. © The Author(s). 2016 |
abstractGer |
Background Under-nutrition contributes to childhood morbidity and mortality, particularly in low-income countries. While Rwanda is one of few countries on track to reduce the prevalence of underweight children under five years old by 50 % from 1990 to 2015 (a target of Millennium Development Goal1), underweight children remain a large public health problem with one out of ten children having low weight-for-age. Methods We performed a cross-sectional study using 2010 RDHS data on 4177 children under five years of age with weight and height measurements. Children were classified as underweight if their weight-for-age Z scores (WAZs) were <2 standard deviations (SD) and severely underweight if WAZs were <3 SD from the mean of the reference population. We used multivariable logistic regression model to identify child, maternal, and household characteristics associated with being underweight. Results Eleven percent (469) of the 4177 children sampled were underweight and 2.2 % (90) were severely underweight. After adjusting for possible confounders, we found that children were more likely to be underweight if they were male (OR = 1.42, 95 % confidence interval (CI):1.12, 1.79); had fever in the two weeks prior to survey administration (OR = 1.45, 95 % CI:1.07, 1.97) or were non-singletons compared to first-born singletons (OR = 4.04, 95 % CI:2.12, 7.71). Mothers were more likely to have underweight children if they were over 35 years of age compared to those age 17–24 years (OR = 1.67, 95 % CI:1.04, 2.70); with BMI <18.5 compared to BMI between 18.5 to 24.9 (OR = 2.62, 95 % CI:1.70, 4.04), who had no education or primary education only (OR = 3.56, 95 % CI:1.83, 6.95; OR = 3.49, 95 % CI:1.87, 6.51, respectively) compared to secondary education or higher, and those who did not have delivery assisted by a skilled provider (OR = 1.33, 95 % CI:1.04, 1.72). Household characteristics associated with underweight children included status in the bottom two wealth quintiles compared to the highest (OR = 1.71, 95 % CI:1.27, 2.30). Conclusion Rwanda was one of the first countries to achieve Millennium Development Goal1. However, even in light of this success, the prevalence of underweight children remains high. Our analysis of specific child, maternal and household risk factors for under-nutrition may help identify potential interventions to address this remaining burden. © The Author(s). 2016 |
abstract_unstemmed |
Background Under-nutrition contributes to childhood morbidity and mortality, particularly in low-income countries. While Rwanda is one of few countries on track to reduce the prevalence of underweight children under five years old by 50 % from 1990 to 2015 (a target of Millennium Development Goal1), underweight children remain a large public health problem with one out of ten children having low weight-for-age. Methods We performed a cross-sectional study using 2010 RDHS data on 4177 children under five years of age with weight and height measurements. Children were classified as underweight if their weight-for-age Z scores (WAZs) were <2 standard deviations (SD) and severely underweight if WAZs were <3 SD from the mean of the reference population. We used multivariable logistic regression model to identify child, maternal, and household characteristics associated with being underweight. Results Eleven percent (469) of the 4177 children sampled were underweight and 2.2 % (90) were severely underweight. After adjusting for possible confounders, we found that children were more likely to be underweight if they were male (OR = 1.42, 95 % confidence interval (CI):1.12, 1.79); had fever in the two weeks prior to survey administration (OR = 1.45, 95 % CI:1.07, 1.97) or were non-singletons compared to first-born singletons (OR = 4.04, 95 % CI:2.12, 7.71). Mothers were more likely to have underweight children if they were over 35 years of age compared to those age 17–24 years (OR = 1.67, 95 % CI:1.04, 2.70); with BMI <18.5 compared to BMI between 18.5 to 24.9 (OR = 2.62, 95 % CI:1.70, 4.04), who had no education or primary education only (OR = 3.56, 95 % CI:1.83, 6.95; OR = 3.49, 95 % CI:1.87, 6.51, respectively) compared to secondary education or higher, and those who did not have delivery assisted by a skilled provider (OR = 1.33, 95 % CI:1.04, 1.72). Household characteristics associated with underweight children included status in the bottom two wealth quintiles compared to the highest (OR = 1.71, 95 % CI:1.27, 2.30). Conclusion Rwanda was one of the first countries to achieve Millennium Development Goal1. However, even in light of this success, the prevalence of underweight children remains high. Our analysis of specific child, maternal and household risk factors for under-nutrition may help identify potential interventions to address this remaining burden. © The Author(s). 2016 |
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title_short |
Risk factors associated with underweight status in children under five: an analysis of the 2010 Rwanda Demographic Health Survey (RDHS) |
url |
https://dx.doi.org/10.1186/s40795-016-0078-2 |
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Thomson, Dana R. Hedt-Gauthier, Bethany L. Basinga, Paulin Nyirazinyoye, Laetitia Murray, Megan |
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Thomson, Dana R. Hedt-Gauthier, Bethany L. Basinga, Paulin Nyirazinyoye, Laetitia Murray, Megan |
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up_date |
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