A study to assess prevalence of anaemia among beneficiaries of Anaemia Mukt Bharat Campaign in Uttarakhand

Context: Anaemia is defined as a decreased concentration of blood haemoglobin. It is one of the most common nutritional deficiency diseases observed globally affecting both developing and developed countries. Aims: To find out the prevalence of anaemia among the beneficiaries of Anaemia Mukt Bharat...
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Gespeichert in:

Autor*in:	Surekha Kishore [verfasserIn] Mahendra Singh [verfasserIn] Bhavna Jain [verfasserIn] Neha Verma [verfasserIn] Kanchan Gawande [verfasserIn] Sanjeev Kishore [verfasserIn] Pradeep Aggarwal [verfasserIn] Shikhar K Verma [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	anaemia haemoglobin testing prevalence

Übergeordnetes Werk:	In: Journal of Family Medicine and Primary Care - Wolters Kluwer Medknow Publications, 2017, 9(2020), 3, Seite 1691-1694
Übergeordnetes Werk:	volume:9 ; year:2020 ; number:3 ; pages:1691-1694

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.4103/jfmpc.jfmpc_941_19

Katalog-ID:	DOAJ017202604

Internformat


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520			\|a Context: Anaemia is defined as a decreased concentration of blood haemoglobin. It is one of the most common nutritional deficiency diseases observed globally affecting both developing and developed countries. Aims: To find out the prevalence of anaemia among the beneficiaries of Anaemia Mukt Bharat and its association with age and gender. Settings and Design: A cross-sectional study was conducted in Uttarakhand by AIIMS Rishikesh in a month-long campaign including 5,776 beneficiaries. Camps were organized at the hospital campus, schools, district hospitals, Community Health Centre (CHC), Primary Health Centre (PHC), subcentres (SC), Anganwadi Centres (AWCs), slum areas, adolescent health day celebration sites and Village Health and Nutrition Day (VHND) sites. Methods and Material: Data on age and gender along with haemoglobin level using HemoCue Haemoglobinometer was collected. Statistical Analysis Used: These data were entered into Microsoft Excel and analysed to calculate the prevalence of anaemia and its association with age and gender using Epi Info software version 7. Pearson's Chi-square test was applied. P value < 0.05 was considered as significant. Results: Out of 5,776 participants 53.2% were anaemic. Females (54.6%) were more anaemic than males (45.1%). 33.5% of pregnant females were found to be anaemic. Conclusions: Prevalence of anaemia was very high among the study participants. It shows that anaemia is a major public health problem so efforts should be taken to reduce the prevalence of anaemia and promote the health of an individual, community as well as the country.
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allfields	10.4103/jfmpc.jfmpc_941_19 doi (DE-627)DOAJ017202604 (DE-599)DOAJd1cc4a1c18534785bf4edc7566780971 DE-627 ger DE-627 rakwb eng Surekha Kishore verfasserin aut A study to assess prevalence of anaemia among beneficiaries of Anaemia Mukt Bharat Campaign in Uttarakhand 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Context: Anaemia is defined as a decreased concentration of blood haemoglobin. It is one of the most common nutritional deficiency diseases observed globally affecting both developing and developed countries. Aims: To find out the prevalence of anaemia among the beneficiaries of Anaemia Mukt Bharat and its association with age and gender. Settings and Design: A cross-sectional study was conducted in Uttarakhand by AIIMS Rishikesh in a month-long campaign including 5,776 beneficiaries. Camps were organized at the hospital campus, schools, district hospitals, Community Health Centre (CHC), Primary Health Centre (PHC), subcentres (SC), Anganwadi Centres (AWCs), slum areas, adolescent health day celebration sites and Village Health and Nutrition Day (VHND) sites. Methods and Material: Data on age and gender along with haemoglobin level using HemoCue Haemoglobinometer was collected. Statistical Analysis Used: These data were entered into Microsoft Excel and analysed to calculate the prevalence of anaemia and its association with age and gender using Epi Info software version 7. Pearson's Chi-square test was applied. P value < 0.05 was considered as significant. Results: Out of 5,776 participants 53.2% were anaemic. Females (54.6%) were more anaemic than males (45.1%). 33.5% of pregnant females were found to be anaemic. Conclusions: Prevalence of anaemia was very high among the study participants. It shows that anaemia is a major public health problem so efforts should be taken to reduce the prevalence of anaemia and promote the health of an individual, community as well as the country. anaemia haemoglobin testing prevalence Medicine R Mahendra Singh verfasserin aut Bhavna Jain verfasserin aut Neha Verma verfasserin aut Kanchan Gawande verfasserin aut Sanjeev Kishore verfasserin aut Pradeep Aggarwal verfasserin aut Shikhar K Verma verfasserin aut In Journal of Family Medicine and Primary Care Wolters Kluwer Medknow Publications, 2017 9(2020), 3, Seite 1691-1694 (DE-627)769225241 (DE-600)2735275-4 22787135 nnns volume:9 year:2020 number:3 pages:1691-1694 https://doi.org/10.4103/jfmpc.jfmpc_941_19 kostenfrei https://doaj.org/article/d1cc4a1c18534785bf4edc7566780971 kostenfrei http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=3;spage=1691;epage=1694;aulast=Kishore 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 3 1691-1694
spelling	10.4103/jfmpc.jfmpc_941_19 doi (DE-627)DOAJ017202604 (DE-599)DOAJd1cc4a1c18534785bf4edc7566780971 DE-627 ger DE-627 rakwb eng Surekha Kishore verfasserin aut A study to assess prevalence of anaemia among beneficiaries of Anaemia Mukt Bharat Campaign in Uttarakhand 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Context: Anaemia is defined as a decreased concentration of blood haemoglobin. It is one of the most common nutritional deficiency diseases observed globally affecting both developing and developed countries. Aims: To find out the prevalence of anaemia among the beneficiaries of Anaemia Mukt Bharat and its association with age and gender. Settings and Design: A cross-sectional study was conducted in Uttarakhand by AIIMS Rishikesh in a month-long campaign including 5,776 beneficiaries. Camps were organized at the hospital campus, schools, district hospitals, Community Health Centre (CHC), Primary Health Centre (PHC), subcentres (SC), Anganwadi Centres (AWCs), slum areas, adolescent health day celebration sites and Village Health and Nutrition Day (VHND) sites. Methods and Material: Data on age and gender along with haemoglobin level using HemoCue Haemoglobinometer was collected. Statistical Analysis Used: These data were entered into Microsoft Excel and analysed to calculate the prevalence of anaemia and its association with age and gender using Epi Info software version 7. Pearson's Chi-square test was applied. P value < 0.05 was considered as significant. Results: Out of 5,776 participants 53.2% were anaemic. Females (54.6%) were more anaemic than males (45.1%). 33.5% of pregnant females were found to be anaemic. Conclusions: Prevalence of anaemia was very high among the study participants. It shows that anaemia is a major public health problem so efforts should be taken to reduce the prevalence of anaemia and promote the health of an individual, community as well as the country. anaemia haemoglobin testing prevalence Medicine R Mahendra Singh verfasserin aut Bhavna Jain verfasserin aut Neha Verma verfasserin aut Kanchan Gawande verfasserin aut Sanjeev Kishore verfasserin aut Pradeep Aggarwal verfasserin aut Shikhar K Verma verfasserin aut In Journal of Family Medicine and Primary Care Wolters Kluwer Medknow Publications, 2017 9(2020), 3, Seite 1691-1694 (DE-627)769225241 (DE-600)2735275-4 22787135 nnns volume:9 year:2020 number:3 pages:1691-1694 https://doi.org/10.4103/jfmpc.jfmpc_941_19 kostenfrei https://doaj.org/article/d1cc4a1c18534785bf4edc7566780971 kostenfrei http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=3;spage=1691;epage=1694;aulast=Kishore 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 3 1691-1694
allfields_unstemmed	10.4103/jfmpc.jfmpc_941_19 doi (DE-627)DOAJ017202604 (DE-599)DOAJd1cc4a1c18534785bf4edc7566780971 DE-627 ger DE-627 rakwb eng Surekha Kishore verfasserin aut A study to assess prevalence of anaemia among beneficiaries of Anaemia Mukt Bharat Campaign in Uttarakhand 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Context: Anaemia is defined as a decreased concentration of blood haemoglobin. It is one of the most common nutritional deficiency diseases observed globally affecting both developing and developed countries. Aims: To find out the prevalence of anaemia among the beneficiaries of Anaemia Mukt Bharat and its association with age and gender. Settings and Design: A cross-sectional study was conducted in Uttarakhand by AIIMS Rishikesh in a month-long campaign including 5,776 beneficiaries. Camps were organized at the hospital campus, schools, district hospitals, Community Health Centre (CHC), Primary Health Centre (PHC), subcentres (SC), Anganwadi Centres (AWCs), slum areas, adolescent health day celebration sites and Village Health and Nutrition Day (VHND) sites. Methods and Material: Data on age and gender along with haemoglobin level using HemoCue Haemoglobinometer was collected. Statistical Analysis Used: These data were entered into Microsoft Excel and analysed to calculate the prevalence of anaemia and its association with age and gender using Epi Info software version 7. Pearson's Chi-square test was applied. P value < 0.05 was considered as significant. Results: Out of 5,776 participants 53.2% were anaemic. Females (54.6%) were more anaemic than males (45.1%). 33.5% of pregnant females were found to be anaemic. Conclusions: Prevalence of anaemia was very high among the study participants. It shows that anaemia is a major public health problem so efforts should be taken to reduce the prevalence of anaemia and promote the health of an individual, community as well as the country. anaemia haemoglobin testing prevalence Medicine R Mahendra Singh verfasserin aut Bhavna Jain verfasserin aut Neha Verma verfasserin aut Kanchan Gawande verfasserin aut Sanjeev Kishore verfasserin aut Pradeep Aggarwal verfasserin aut Shikhar K Verma verfasserin aut In Journal of Family Medicine and Primary Care Wolters Kluwer Medknow Publications, 2017 9(2020), 3, Seite 1691-1694 (DE-627)769225241 (DE-600)2735275-4 22787135 nnns volume:9 year:2020 number:3 pages:1691-1694 https://doi.org/10.4103/jfmpc.jfmpc_941_19 kostenfrei https://doaj.org/article/d1cc4a1c18534785bf4edc7566780971 kostenfrei http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=3;spage=1691;epage=1694;aulast=Kishore 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 3 1691-1694
allfieldsGer	10.4103/jfmpc.jfmpc_941_19 doi (DE-627)DOAJ017202604 (DE-599)DOAJd1cc4a1c18534785bf4edc7566780971 DE-627 ger DE-627 rakwb eng Surekha Kishore verfasserin aut A study to assess prevalence of anaemia among beneficiaries of Anaemia Mukt Bharat Campaign in Uttarakhand 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Context: Anaemia is defined as a decreased concentration of blood haemoglobin. It is one of the most common nutritional deficiency diseases observed globally affecting both developing and developed countries. Aims: To find out the prevalence of anaemia among the beneficiaries of Anaemia Mukt Bharat and its association with age and gender. Settings and Design: A cross-sectional study was conducted in Uttarakhand by AIIMS Rishikesh in a month-long campaign including 5,776 beneficiaries. Camps were organized at the hospital campus, schools, district hospitals, Community Health Centre (CHC), Primary Health Centre (PHC), subcentres (SC), Anganwadi Centres (AWCs), slum areas, adolescent health day celebration sites and Village Health and Nutrition Day (VHND) sites. Methods and Material: Data on age and gender along with haemoglobin level using HemoCue Haemoglobinometer was collected. Statistical Analysis Used: These data were entered into Microsoft Excel and analysed to calculate the prevalence of anaemia and its association with age and gender using Epi Info software version 7. Pearson's Chi-square test was applied. P value < 0.05 was considered as significant. Results: Out of 5,776 participants 53.2% were anaemic. Females (54.6%) were more anaemic than males (45.1%). 33.5% of pregnant females were found to be anaemic. Conclusions: Prevalence of anaemia was very high among the study participants. It shows that anaemia is a major public health problem so efforts should be taken to reduce the prevalence of anaemia and promote the health of an individual, community as well as the country. anaemia haemoglobin testing prevalence Medicine R Mahendra Singh verfasserin aut Bhavna Jain verfasserin aut Neha Verma verfasserin aut Kanchan Gawande verfasserin aut Sanjeev Kishore verfasserin aut Pradeep Aggarwal verfasserin aut Shikhar K Verma verfasserin aut In Journal of Family Medicine and Primary Care Wolters Kluwer Medknow Publications, 2017 9(2020), 3, Seite 1691-1694 (DE-627)769225241 (DE-600)2735275-4 22787135 nnns volume:9 year:2020 number:3 pages:1691-1694 https://doi.org/10.4103/jfmpc.jfmpc_941_19 kostenfrei https://doaj.org/article/d1cc4a1c18534785bf4edc7566780971 kostenfrei http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=3;spage=1691;epage=1694;aulast=Kishore 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 3 1691-1694
allfieldsSound	10.4103/jfmpc.jfmpc_941_19 doi (DE-627)DOAJ017202604 (DE-599)DOAJd1cc4a1c18534785bf4edc7566780971 DE-627 ger DE-627 rakwb eng Surekha Kishore verfasserin aut A study to assess prevalence of anaemia among beneficiaries of Anaemia Mukt Bharat Campaign in Uttarakhand 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Context: Anaemia is defined as a decreased concentration of blood haemoglobin. It is one of the most common nutritional deficiency diseases observed globally affecting both developing and developed countries. Aims: To find out the prevalence of anaemia among the beneficiaries of Anaemia Mukt Bharat and its association with age and gender. Settings and Design: A cross-sectional study was conducted in Uttarakhand by AIIMS Rishikesh in a month-long campaign including 5,776 beneficiaries. Camps were organized at the hospital campus, schools, district hospitals, Community Health Centre (CHC), Primary Health Centre (PHC), subcentres (SC), Anganwadi Centres (AWCs), slum areas, adolescent health day celebration sites and Village Health and Nutrition Day (VHND) sites. Methods and Material: Data on age and gender along with haemoglobin level using HemoCue Haemoglobinometer was collected. Statistical Analysis Used: These data were entered into Microsoft Excel and analysed to calculate the prevalence of anaemia and its association with age and gender using Epi Info software version 7. Pearson's Chi-square test was applied. P value < 0.05 was considered as significant. Results: Out of 5,776 participants 53.2% were anaemic. Females (54.6%) were more anaemic than males (45.1%). 33.5% of pregnant females were found to be anaemic. Conclusions: Prevalence of anaemia was very high among the study participants. It shows that anaemia is a major public health problem so efforts should be taken to reduce the prevalence of anaemia and promote the health of an individual, community as well as the country. anaemia haemoglobin testing prevalence Medicine R Mahendra Singh verfasserin aut Bhavna Jain verfasserin aut Neha Verma verfasserin aut Kanchan Gawande verfasserin aut Sanjeev Kishore verfasserin aut Pradeep Aggarwal verfasserin aut Shikhar K Verma verfasserin aut In Journal of Family Medicine and Primary Care Wolters Kluwer Medknow Publications, 2017 9(2020), 3, Seite 1691-1694 (DE-627)769225241 (DE-600)2735275-4 22787135 nnns volume:9 year:2020 number:3 pages:1691-1694 https://doi.org/10.4103/jfmpc.jfmpc_941_19 kostenfrei https://doaj.org/article/d1cc4a1c18534785bf4edc7566780971 kostenfrei http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=3;spage=1691;epage=1694;aulast=Kishore 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 3 1691-1694
language	English
source	In Journal of Family Medicine and Primary Care 9(2020), 3, Seite 1691-1694 volume:9 year:2020 number:3 pages:1691-1694
sourceStr	In Journal of Family Medicine and Primary Care 9(2020), 3, Seite 1691-1694 volume:9 year:2020 number:3 pages:1691-1694
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	anaemia haemoglobin testing prevalence Medicine R
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authorswithroles_txt_mv	Surekha Kishore @@aut@@ Mahendra Singh @@aut@@ Bhavna Jain @@aut@@ Neha Verma @@aut@@ Kanchan Gawande @@aut@@ Sanjeev Kishore @@aut@@ Pradeep Aggarwal @@aut@@ Shikhar K Verma @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
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language_de	englisch
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It is one of the most common nutritional deficiency diseases observed globally affecting both developing and developed countries. Aims: To find out the prevalence of anaemia among the beneficiaries of Anaemia Mukt Bharat and its association with age and gender. Settings and Design: A cross-sectional study was conducted in Uttarakhand by AIIMS Rishikesh in a month-long campaign including 5,776 beneficiaries. Camps were organized at the hospital campus, schools, district hospitals, Community Health Centre (CHC), Primary Health Centre (PHC), subcentres (SC), Anganwadi Centres (AWCs), slum areas, adolescent health day celebration sites and Village Health and Nutrition Day (VHND) sites. Methods and Material: Data on age and gender along with haemoglobin level using HemoCue Haemoglobinometer was collected. Statistical Analysis Used: These data were entered into Microsoft Excel and analysed to calculate the prevalence of anaemia and its association with age and gender using Epi Info software version 7. Pearson's Chi-square test was applied. P value < 0.05 was considered as significant. Results: Out of 5,776 participants 53.2% were anaemic. Females (54.6%) were more anaemic than males (45.1%). 33.5% of pregnant females were found to be anaemic. Conclusions: Prevalence of anaemia was very high among the study participants. 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author	Surekha Kishore
spellingShingle	Surekha Kishore misc anaemia misc haemoglobin testing misc prevalence misc Medicine misc R A study to assess prevalence of anaemia among beneficiaries of Anaemia Mukt Bharat Campaign in Uttarakhand
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topic_title	A study to assess prevalence of anaemia among beneficiaries of Anaemia Mukt Bharat Campaign in Uttarakhand anaemia haemoglobin testing prevalence
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title	A study to assess prevalence of anaemia among beneficiaries of Anaemia Mukt Bharat Campaign in Uttarakhand
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title_full	A study to assess prevalence of anaemia among beneficiaries of Anaemia Mukt Bharat Campaign in Uttarakhand
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author_browse	Surekha Kishore Mahendra Singh Bhavna Jain Neha Verma Kanchan Gawande Sanjeev Kishore Pradeep Aggarwal Shikhar K Verma
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title_sort	study to assess prevalence of anaemia among beneficiaries of anaemia mukt bharat campaign in uttarakhand
title_auth	A study to assess prevalence of anaemia among beneficiaries of Anaemia Mukt Bharat Campaign in Uttarakhand
abstract	Context: Anaemia is defined as a decreased concentration of blood haemoglobin. It is one of the most common nutritional deficiency diseases observed globally affecting both developing and developed countries. Aims: To find out the prevalence of anaemia among the beneficiaries of Anaemia Mukt Bharat and its association with age and gender. Settings and Design: A cross-sectional study was conducted in Uttarakhand by AIIMS Rishikesh in a month-long campaign including 5,776 beneficiaries. Camps were organized at the hospital campus, schools, district hospitals, Community Health Centre (CHC), Primary Health Centre (PHC), subcentres (SC), Anganwadi Centres (AWCs), slum areas, adolescent health day celebration sites and Village Health and Nutrition Day (VHND) sites. Methods and Material: Data on age and gender along with haemoglobin level using HemoCue Haemoglobinometer was collected. Statistical Analysis Used: These data were entered into Microsoft Excel and analysed to calculate the prevalence of anaemia and its association with age and gender using Epi Info software version 7. Pearson's Chi-square test was applied. P value < 0.05 was considered as significant. Results: Out of 5,776 participants 53.2% were anaemic. Females (54.6%) were more anaemic than males (45.1%). 33.5% of pregnant females were found to be anaemic. Conclusions: Prevalence of anaemia was very high among the study participants. It shows that anaemia is a major public health problem so efforts should be taken to reduce the prevalence of anaemia and promote the health of an individual, community as well as the country.
abstractGer	Context: Anaemia is defined as a decreased concentration of blood haemoglobin. It is one of the most common nutritional deficiency diseases observed globally affecting both developing and developed countries. Aims: To find out the prevalence of anaemia among the beneficiaries of Anaemia Mukt Bharat and its association with age and gender. Settings and Design: A cross-sectional study was conducted in Uttarakhand by AIIMS Rishikesh in a month-long campaign including 5,776 beneficiaries. Camps were organized at the hospital campus, schools, district hospitals, Community Health Centre (CHC), Primary Health Centre (PHC), subcentres (SC), Anganwadi Centres (AWCs), slum areas, adolescent health day celebration sites and Village Health and Nutrition Day (VHND) sites. Methods and Material: Data on age and gender along with haemoglobin level using HemoCue Haemoglobinometer was collected. Statistical Analysis Used: These data were entered into Microsoft Excel and analysed to calculate the prevalence of anaemia and its association with age and gender using Epi Info software version 7. Pearson's Chi-square test was applied. P value < 0.05 was considered as significant. Results: Out of 5,776 participants 53.2% were anaemic. Females (54.6%) were more anaemic than males (45.1%). 33.5% of pregnant females were found to be anaemic. Conclusions: Prevalence of anaemia was very high among the study participants. It shows that anaemia is a major public health problem so efforts should be taken to reduce the prevalence of anaemia and promote the health of an individual, community as well as the country.
abstract_unstemmed	Context: Anaemia is defined as a decreased concentration of blood haemoglobin. It is one of the most common nutritional deficiency diseases observed globally affecting both developing and developed countries. Aims: To find out the prevalence of anaemia among the beneficiaries of Anaemia Mukt Bharat and its association with age and gender. Settings and Design: A cross-sectional study was conducted in Uttarakhand by AIIMS Rishikesh in a month-long campaign including 5,776 beneficiaries. Camps were organized at the hospital campus, schools, district hospitals, Community Health Centre (CHC), Primary Health Centre (PHC), subcentres (SC), Anganwadi Centres (AWCs), slum areas, adolescent health day celebration sites and Village Health and Nutrition Day (VHND) sites. Methods and Material: Data on age and gender along with haemoglobin level using HemoCue Haemoglobinometer was collected. Statistical Analysis Used: These data were entered into Microsoft Excel and analysed to calculate the prevalence of anaemia and its association with age and gender using Epi Info software version 7. Pearson's Chi-square test was applied. P value < 0.05 was considered as significant. Results: Out of 5,776 participants 53.2% were anaemic. Females (54.6%) were more anaemic than males (45.1%). 33.5% of pregnant females were found to be anaemic. Conclusions: Prevalence of anaemia was very high among the study participants. It shows that anaemia is a major public health problem so efforts should be taken to reduce the prevalence of anaemia and promote the health of an individual, community as well as the country.
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title_short	A study to assess prevalence of anaemia among beneficiaries of Anaemia Mukt Bharat Campaign in Uttarakhand
url	https://doi.org/10.4103/jfmpc.jfmpc_941_19 https://doaj.org/article/d1cc4a1c18534785bf4edc7566780971 http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=3;spage=1691;epage=1694;aulast=Kishore https://doaj.org/toc/2249-4863
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A study to assess prevalence of anaemia among beneficiaries of Anaemia Mukt Bharat Campaign in Uttarakhand

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Vorhandene Bände

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