A study to assess undernutrition and its sociodemographic correlates in under-five children in urban and rural areas of Rishikesh, Uttarakhand

Context: Nutrition is one of the most important factors that affect a child's health. It plays a vital role in the prevention and control of disease morbidity and mortality. It is a major public health problem in a developing country like India. Aims: To assess undernutrition in under-five chil...
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Autor*in:	Abu Rehan [verfasserIn] Surekha Kishore [verfasserIn] Mahendra Singh [verfasserIn] Bhavna Jain [verfasserIn] Navuluri Kranthi K. Reddy [verfasserIn] Deepak Kumar [verfasserIn] Preeti Usha [verfasserIn] Rukhsar Parveen [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	sociodemographic factors under-five undernutrition

Übergeordnetes Werk:	In: Journal of Family Medicine and Primary Care - Wolters Kluwer Medknow Publications, 2017, 9(2020), 9, Seite 4980-4984
Übergeordnetes Werk:	volume:9 ; year:2020 ; number:9 ; pages:4980-4984

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.4103/jfmpc.jfmpc_663_20

Katalog-ID:	DOAJ043708749

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520			\|a Context: Nutrition is one of the most important factors that affect a child's health. It plays a vital role in the prevention and control of disease morbidity and mortality. It is a major public health problem in a developing country like India. Aims: To assess undernutrition in under-five children and various sociodemographic factors affecting it. Settings and Design: A community-based cross-sectional study was conducted among under-five children of rural and urban Rishikesh. A total sample size of 400 under-five children was taken. Multistage sampling was done to select the areas and systematic random sampling was done for selection of households. Subject and Methods: A predesigned, pretested, and semistructured questionnaire was used to collect information on the sociodemographic characteristics and status of undernutrition in study participants. Statistical Analysis Used: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods. Results: The prevalence of underweight was 37.3%, stunting 43.3% and wasting 24.5%. Underweight (40.5% v/s 35.0%), stunting (46.5% v/s 40.0%), and wasting (27.0% v/s 22.0%) was more prevalent in urban areas as compared to rural areas. Sociodemographic factors such as religion, caste, parental education, father's occupation, and family size emerged as significant predictors of under nutrition. Conclusion: Undernutrition in under-five children was quite high. Since childhood malnutrition is multifactorial, there is no single cause big enough to blame but a multifaceted approach is required to combat malnutrition.
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publishDate	2020
allfields	10.4103/jfmpc.jfmpc_663_20 doi (DE-627)DOAJ043708749 (DE-599)DOAJ02ac66f741594267a53f348a33838429 DE-627 ger DE-627 rakwb eng Abu Rehan verfasserin aut A study to assess undernutrition and its sociodemographic correlates in under-five children in urban and rural areas of Rishikesh, Uttarakhand 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Context: Nutrition is one of the most important factors that affect a child's health. It plays a vital role in the prevention and control of disease morbidity and mortality. It is a major public health problem in a developing country like India. Aims: To assess undernutrition in under-five children and various sociodemographic factors affecting it. Settings and Design: A community-based cross-sectional study was conducted among under-five children of rural and urban Rishikesh. A total sample size of 400 under-five children was taken. Multistage sampling was done to select the areas and systematic random sampling was done for selection of households. Subject and Methods: A predesigned, pretested, and semistructured questionnaire was used to collect information on the sociodemographic characteristics and status of undernutrition in study participants. Statistical Analysis Used: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods. Results: The prevalence of underweight was 37.3%, stunting 43.3% and wasting 24.5%. Underweight (40.5% v/s 35.0%), stunting (46.5% v/s 40.0%), and wasting (27.0% v/s 22.0%) was more prevalent in urban areas as compared to rural areas. Sociodemographic factors such as religion, caste, parental education, father's occupation, and family size emerged as significant predictors of under nutrition. Conclusion: Undernutrition in under-five children was quite high. Since childhood malnutrition is multifactorial, there is no single cause big enough to blame but a multifaceted approach is required to combat malnutrition. sociodemographic factors under-five undernutrition Medicine R Surekha Kishore verfasserin aut Mahendra Singh verfasserin aut Bhavna Jain verfasserin aut Navuluri Kranthi K. Reddy verfasserin aut Deepak Kumar verfasserin aut Preeti Usha verfasserin aut Rukhsar Parveen verfasserin aut In Journal of Family Medicine and Primary Care Wolters Kluwer Medknow Publications, 2017 9(2020), 9, Seite 4980-4984 (DE-627)769225241 (DE-600)2735275-4 22787135 nnns volume:9 year:2020 number:9 pages:4980-4984 https://doi.org/10.4103/jfmpc.jfmpc_663_20 kostenfrei https://doaj.org/article/02ac66f741594267a53f348a33838429 kostenfrei http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=9;spage=4980;epage=4984;aulast=Rehan kostenfrei https://doaj.org/toc/2249-4863 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 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_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2190 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 9 2020 9 4980-4984
spelling	10.4103/jfmpc.jfmpc_663_20 doi (DE-627)DOAJ043708749 (DE-599)DOAJ02ac66f741594267a53f348a33838429 DE-627 ger DE-627 rakwb eng Abu Rehan verfasserin aut A study to assess undernutrition and its sociodemographic correlates in under-five children in urban and rural areas of Rishikesh, Uttarakhand 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Context: Nutrition is one of the most important factors that affect a child's health. It plays a vital role in the prevention and control of disease morbidity and mortality. It is a major public health problem in a developing country like India. Aims: To assess undernutrition in under-five children and various sociodemographic factors affecting it. Settings and Design: A community-based cross-sectional study was conducted among under-five children of rural and urban Rishikesh. A total sample size of 400 under-five children was taken. Multistage sampling was done to select the areas and systematic random sampling was done for selection of households. Subject and Methods: A predesigned, pretested, and semistructured questionnaire was used to collect information on the sociodemographic characteristics and status of undernutrition in study participants. Statistical Analysis Used: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods. Results: The prevalence of underweight was 37.3%, stunting 43.3% and wasting 24.5%. Underweight (40.5% v/s 35.0%), stunting (46.5% v/s 40.0%), and wasting (27.0% v/s 22.0%) was more prevalent in urban areas as compared to rural areas. Sociodemographic factors such as religion, caste, parental education, father's occupation, and family size emerged as significant predictors of under nutrition. Conclusion: Undernutrition in under-five children was quite high. Since childhood malnutrition is multifactorial, there is no single cause big enough to blame but a multifaceted approach is required to combat malnutrition. sociodemographic factors under-five undernutrition Medicine R Surekha Kishore verfasserin aut Mahendra Singh verfasserin aut Bhavna Jain verfasserin aut Navuluri Kranthi K. Reddy verfasserin aut Deepak Kumar verfasserin aut Preeti Usha verfasserin aut Rukhsar Parveen verfasserin aut In Journal of Family Medicine and Primary Care Wolters Kluwer Medknow Publications, 2017 9(2020), 9, Seite 4980-4984 (DE-627)769225241 (DE-600)2735275-4 22787135 nnns volume:9 year:2020 number:9 pages:4980-4984 https://doi.org/10.4103/jfmpc.jfmpc_663_20 kostenfrei https://doaj.org/article/02ac66f741594267a53f348a33838429 kostenfrei http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=9;spage=4980;epage=4984;aulast=Rehan kostenfrei https://doaj.org/toc/2249-4863 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 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_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2190 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 9 2020 9 4980-4984
allfields_unstemmed	10.4103/jfmpc.jfmpc_663_20 doi (DE-627)DOAJ043708749 (DE-599)DOAJ02ac66f741594267a53f348a33838429 DE-627 ger DE-627 rakwb eng Abu Rehan verfasserin aut A study to assess undernutrition and its sociodemographic correlates in under-five children in urban and rural areas of Rishikesh, Uttarakhand 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Context: Nutrition is one of the most important factors that affect a child's health. It plays a vital role in the prevention and control of disease morbidity and mortality. It is a major public health problem in a developing country like India. Aims: To assess undernutrition in under-five children and various sociodemographic factors affecting it. Settings and Design: A community-based cross-sectional study was conducted among under-five children of rural and urban Rishikesh. A total sample size of 400 under-five children was taken. Multistage sampling was done to select the areas and systematic random sampling was done for selection of households. Subject and Methods: A predesigned, pretested, and semistructured questionnaire was used to collect information on the sociodemographic characteristics and status of undernutrition in study participants. Statistical Analysis Used: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods. Results: The prevalence of underweight was 37.3%, stunting 43.3% and wasting 24.5%. Underweight (40.5% v/s 35.0%), stunting (46.5% v/s 40.0%), and wasting (27.0% v/s 22.0%) was more prevalent in urban areas as compared to rural areas. Sociodemographic factors such as religion, caste, parental education, father's occupation, and family size emerged as significant predictors of under nutrition. Conclusion: Undernutrition in under-five children was quite high. Since childhood malnutrition is multifactorial, there is no single cause big enough to blame but a multifaceted approach is required to combat malnutrition. sociodemographic factors under-five undernutrition Medicine R Surekha Kishore verfasserin aut Mahendra Singh verfasserin aut Bhavna Jain verfasserin aut Navuluri Kranthi K. Reddy verfasserin aut Deepak Kumar verfasserin aut Preeti Usha verfasserin aut Rukhsar Parveen verfasserin aut In Journal of Family Medicine and Primary Care Wolters Kluwer Medknow Publications, 2017 9(2020), 9, Seite 4980-4984 (DE-627)769225241 (DE-600)2735275-4 22787135 nnns volume:9 year:2020 number:9 pages:4980-4984 https://doi.org/10.4103/jfmpc.jfmpc_663_20 kostenfrei https://doaj.org/article/02ac66f741594267a53f348a33838429 kostenfrei http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=9;spage=4980;epage=4984;aulast=Rehan kostenfrei https://doaj.org/toc/2249-4863 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 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_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2190 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 9 2020 9 4980-4984
allfieldsGer	10.4103/jfmpc.jfmpc_663_20 doi (DE-627)DOAJ043708749 (DE-599)DOAJ02ac66f741594267a53f348a33838429 DE-627 ger DE-627 rakwb eng Abu Rehan verfasserin aut A study to assess undernutrition and its sociodemographic correlates in under-five children in urban and rural areas of Rishikesh, Uttarakhand 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Context: Nutrition is one of the most important factors that affect a child's health. It plays a vital role in the prevention and control of disease morbidity and mortality. It is a major public health problem in a developing country like India. Aims: To assess undernutrition in under-five children and various sociodemographic factors affecting it. Settings and Design: A community-based cross-sectional study was conducted among under-five children of rural and urban Rishikesh. A total sample size of 400 under-five children was taken. Multistage sampling was done to select the areas and systematic random sampling was done for selection of households. Subject and Methods: A predesigned, pretested, and semistructured questionnaire was used to collect information on the sociodemographic characteristics and status of undernutrition in study participants. Statistical Analysis Used: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods. Results: The prevalence of underweight was 37.3%, stunting 43.3% and wasting 24.5%. Underweight (40.5% v/s 35.0%), stunting (46.5% v/s 40.0%), and wasting (27.0% v/s 22.0%) was more prevalent in urban areas as compared to rural areas. Sociodemographic factors such as religion, caste, parental education, father's occupation, and family size emerged as significant predictors of under nutrition. Conclusion: Undernutrition in under-five children was quite high. Since childhood malnutrition is multifactorial, there is no single cause big enough to blame but a multifaceted approach is required to combat malnutrition. sociodemographic factors under-five undernutrition Medicine R Surekha Kishore verfasserin aut Mahendra Singh verfasserin aut Bhavna Jain verfasserin aut Navuluri Kranthi K. Reddy verfasserin aut Deepak Kumar verfasserin aut Preeti Usha verfasserin aut Rukhsar Parveen verfasserin aut In Journal of Family Medicine and Primary Care Wolters Kluwer Medknow Publications, 2017 9(2020), 9, Seite 4980-4984 (DE-627)769225241 (DE-600)2735275-4 22787135 nnns volume:9 year:2020 number:9 pages:4980-4984 https://doi.org/10.4103/jfmpc.jfmpc_663_20 kostenfrei https://doaj.org/article/02ac66f741594267a53f348a33838429 kostenfrei http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=9;spage=4980;epage=4984;aulast=Rehan kostenfrei https://doaj.org/toc/2249-4863 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 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_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2190 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 9 2020 9 4980-4984
allfieldsSound	10.4103/jfmpc.jfmpc_663_20 doi (DE-627)DOAJ043708749 (DE-599)DOAJ02ac66f741594267a53f348a33838429 DE-627 ger DE-627 rakwb eng Abu Rehan verfasserin aut A study to assess undernutrition and its sociodemographic correlates in under-five children in urban and rural areas of Rishikesh, Uttarakhand 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Context: Nutrition is one of the most important factors that affect a child's health. It plays a vital role in the prevention and control of disease morbidity and mortality. It is a major public health problem in a developing country like India. Aims: To assess undernutrition in under-five children and various sociodemographic factors affecting it. Settings and Design: A community-based cross-sectional study was conducted among under-five children of rural and urban Rishikesh. A total sample size of 400 under-five children was taken. Multistage sampling was done to select the areas and systematic random sampling was done for selection of households. Subject and Methods: A predesigned, pretested, and semistructured questionnaire was used to collect information on the sociodemographic characteristics and status of undernutrition in study participants. Statistical Analysis Used: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods. Results: The prevalence of underweight was 37.3%, stunting 43.3% and wasting 24.5%. Underweight (40.5% v/s 35.0%), stunting (46.5% v/s 40.0%), and wasting (27.0% v/s 22.0%) was more prevalent in urban areas as compared to rural areas. Sociodemographic factors such as religion, caste, parental education, father's occupation, and family size emerged as significant predictors of under nutrition. Conclusion: Undernutrition in under-five children was quite high. Since childhood malnutrition is multifactorial, there is no single cause big enough to blame but a multifaceted approach is required to combat malnutrition. sociodemographic factors under-five undernutrition Medicine R Surekha Kishore verfasserin aut Mahendra Singh verfasserin aut Bhavna Jain verfasserin aut Navuluri Kranthi K. Reddy verfasserin aut Deepak Kumar verfasserin aut Preeti Usha verfasserin aut Rukhsar Parveen verfasserin aut In Journal of Family Medicine and Primary Care Wolters Kluwer Medknow Publications, 2017 9(2020), 9, Seite 4980-4984 (DE-627)769225241 (DE-600)2735275-4 22787135 nnns volume:9 year:2020 number:9 pages:4980-4984 https://doi.org/10.4103/jfmpc.jfmpc_663_20 kostenfrei https://doaj.org/article/02ac66f741594267a53f348a33838429 kostenfrei http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=9;spage=4980;epage=4984;aulast=Rehan kostenfrei https://doaj.org/toc/2249-4863 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_11 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_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2190 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 9 2020 9 4980-4984
language	English
source	In Journal of Family Medicine and Primary Care 9(2020), 9, Seite 4980-4984 volume:9 year:2020 number:9 pages:4980-4984
sourceStr	In Journal of Family Medicine and Primary Care 9(2020), 9, Seite 4980-4984 volume:9 year:2020 number:9 pages:4980-4984
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	sociodemographic factors under-five undernutrition Medicine R
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container_title	Journal of Family Medicine and Primary Care
authorswithroles_txt_mv	Abu Rehan @@aut@@ Surekha Kishore @@aut@@ Mahendra Singh @@aut@@ Bhavna Jain @@aut@@ Navuluri Kranthi K. Reddy @@aut@@ Deepak Kumar @@aut@@ Preeti Usha @@aut@@ Rukhsar Parveen @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
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id	DOAJ043708749
language_de	englisch
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Underweight (40.5% v/s 35.0%), stunting (46.5% v/s 40.0%), and wasting (27.0% v/s 22.0%) was more prevalent in urban areas as compared to rural areas. Sociodemographic factors such as religion, caste, parental education, father's occupation, and family size emerged as significant predictors of under nutrition. Conclusion: Undernutrition in under-five children was quite high. 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author	Abu Rehan
spellingShingle	Abu Rehan misc sociodemographic factors misc under-five misc undernutrition misc Medicine misc R A study to assess undernutrition and its sociodemographic correlates in under-five children in urban and rural areas of Rishikesh, Uttarakhand
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topic_title	A study to assess undernutrition and its sociodemographic correlates in under-five children in urban and rural areas of Rishikesh, Uttarakhand sociodemographic factors under-five undernutrition
topic	misc sociodemographic factors misc under-five misc undernutrition misc Medicine misc R
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title	A study to assess undernutrition and its sociodemographic correlates in under-five children in urban and rural areas of Rishikesh, Uttarakhand
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title_full	A study to assess undernutrition and its sociodemographic correlates in under-five children in urban and rural areas of Rishikesh, Uttarakhand
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author_browse	Abu Rehan Surekha Kishore Mahendra Singh Bhavna Jain Navuluri Kranthi K. Reddy Deepak Kumar Preeti Usha Rukhsar Parveen
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title_sort	study to assess undernutrition and its sociodemographic correlates in under-five children in urban and rural areas of rishikesh, uttarakhand
title_auth	A study to assess undernutrition and its sociodemographic correlates in under-five children in urban and rural areas of Rishikesh, Uttarakhand
abstract	Context: Nutrition is one of the most important factors that affect a child's health. It plays a vital role in the prevention and control of disease morbidity and mortality. It is a major public health problem in a developing country like India. Aims: To assess undernutrition in under-five children and various sociodemographic factors affecting it. Settings and Design: A community-based cross-sectional study was conducted among under-five children of rural and urban Rishikesh. A total sample size of 400 under-five children was taken. Multistage sampling was done to select the areas and systematic random sampling was done for selection of households. Subject and Methods: A predesigned, pretested, and semistructured questionnaire was used to collect information on the sociodemographic characteristics and status of undernutrition in study participants. Statistical Analysis Used: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods. Results: The prevalence of underweight was 37.3%, stunting 43.3% and wasting 24.5%. Underweight (40.5% v/s 35.0%), stunting (46.5% v/s 40.0%), and wasting (27.0% v/s 22.0%) was more prevalent in urban areas as compared to rural areas. Sociodemographic factors such as religion, caste, parental education, father's occupation, and family size emerged as significant predictors of under nutrition. Conclusion: Undernutrition in under-five children was quite high. Since childhood malnutrition is multifactorial, there is no single cause big enough to blame but a multifaceted approach is required to combat malnutrition.
abstractGer	Context: Nutrition is one of the most important factors that affect a child's health. It plays a vital role in the prevention and control of disease morbidity and mortality. It is a major public health problem in a developing country like India. Aims: To assess undernutrition in under-five children and various sociodemographic factors affecting it. Settings and Design: A community-based cross-sectional study was conducted among under-five children of rural and urban Rishikesh. A total sample size of 400 under-five children was taken. Multistage sampling was done to select the areas and systematic random sampling was done for selection of households. Subject and Methods: A predesigned, pretested, and semistructured questionnaire was used to collect information on the sociodemographic characteristics and status of undernutrition in study participants. Statistical Analysis Used: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods. Results: The prevalence of underweight was 37.3%, stunting 43.3% and wasting 24.5%. Underweight (40.5% v/s 35.0%), stunting (46.5% v/s 40.0%), and wasting (27.0% v/s 22.0%) was more prevalent in urban areas as compared to rural areas. Sociodemographic factors such as religion, caste, parental education, father's occupation, and family size emerged as significant predictors of under nutrition. Conclusion: Undernutrition in under-five children was quite high. Since childhood malnutrition is multifactorial, there is no single cause big enough to blame but a multifaceted approach is required to combat malnutrition.
abstract_unstemmed	Context: Nutrition is one of the most important factors that affect a child's health. It plays a vital role in the prevention and control of disease morbidity and mortality. It is a major public health problem in a developing country like India. Aims: To assess undernutrition in under-five children and various sociodemographic factors affecting it. Settings and Design: A community-based cross-sectional study was conducted among under-five children of rural and urban Rishikesh. A total sample size of 400 under-five children was taken. Multistage sampling was done to select the areas and systematic random sampling was done for selection of households. Subject and Methods: A predesigned, pretested, and semistructured questionnaire was used to collect information on the sociodemographic characteristics and status of undernutrition in study participants. Statistical Analysis Used: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods. Results: The prevalence of underweight was 37.3%, stunting 43.3% and wasting 24.5%. Underweight (40.5% v/s 35.0%), stunting (46.5% v/s 40.0%), and wasting (27.0% v/s 22.0%) was more prevalent in urban areas as compared to rural areas. Sociodemographic factors such as religion, caste, parental education, father's occupation, and family size emerged as significant predictors of under nutrition. Conclusion: Undernutrition in under-five children was quite high. Since childhood malnutrition is multifactorial, there is no single cause big enough to blame but a multifaceted approach is required to combat malnutrition.
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title_short	A study to assess undernutrition and its sociodemographic correlates in under-five children in urban and rural areas of Rishikesh, Uttarakhand
url	https://doi.org/10.4103/jfmpc.jfmpc_663_20 https://doaj.org/article/02ac66f741594267a53f348a33838429 http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=9;spage=4980;epage=4984;aulast=Rehan https://doaj.org/toc/2249-4863
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A study to assess undernutrition and its sociodemographic correlates in under-five children in urban and rural areas of Rishikesh, Uttarakhand

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Vorhandene Bände

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