A study of morbidity profile among geriatric population in Uttarakhand: A community based cross-sectional study
Context: Population of elderly in India is growing day by day. Elderly population of India is 8.6% and in Uttarakhand it is 8.9%. Health needs of geriatric people differs from others. This study was an attempt to study the morbidity profile of geriatric people that may serve as a baseline data and a...
Ausführliche Beschreibung
Autor*in: |
Preeti Usha [verfasserIn] Surekha Kishore [verfasserIn] Mahendra Singh [verfasserIn] Bhavna Jain [verfasserIn] Deepak Kumar [verfasserIn] Navuluri Kranthi Kumar Reddy [verfasserIn] Abu Rehan [verfasserIn] Satish Kumar Ranjan [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2020 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
In: Journal of Family Medicine and Primary Care - Wolters Kluwer Medknow Publications, 2017, 9(2020), 7, Seite 3677-3681 |
---|---|
Übergeordnetes Werk: |
volume:9 ; year:2020 ; number:7 ; pages:3677-3681 |
Links: |
---|
DOI / URN: |
10.4103/jfmpc.jfmpc_256_20 |
---|
Katalog-ID: |
DOAJ03653238X |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | DOAJ03653238X | ||
003 | DE-627 | ||
005 | 20230307231829.0 | ||
007 | cr uuu---uuuuu | ||
008 | 230227s2020 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.4103/jfmpc.jfmpc_256_20 |2 doi | |
035 | |a (DE-627)DOAJ03653238X | ||
035 | |a (DE-599)DOAJbdf9a90d8f04438482a3a526a6047ae1 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 0 | |a Preeti Usha |e verfasserin |4 aut | |
245 | 1 | 2 | |a A study of morbidity profile among geriatric population in Uttarakhand: A community based cross-sectional study |
264 | 1 | |c 2020 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a Context: Population of elderly in India is growing day by day. Elderly population of India is 8.6% and in Uttarakhand it is 8.9%. Health needs of geriatric people differs from others. This study was an attempt to study the morbidity profile of geriatric people that may serve as a baseline data and also help in planning the health services. Aims: To study Morbidity profile of geriatric population in Uttarakhand. Settings and Design: Acommunity-based cross-sectional study was conducted among geriatric people in rural and urban areas of Uttarakhand. Study participants aged 60 years and above were included in the study and a sample size of 400 was calculated. Methods and Materials: Predesigned, pretested and semistructured questionnaire was used to collect information on sociodemographic characteristics and morbidity status of study participants. Statistical Analysis Used: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods. Results: Among 400 elderly people most common organ system affected was musculoskeletal (77.20%). Other commonly affected health systems were psychological (75.90%), digestive (73.60%), eye (56.67%), endocrine (35.90%), cardiovascular (33.08%), general and unspecified health problems (32.05%), ear (24.62%) and respiratory system (19.74%). Very few elderlies had neurological (6.67%) and urological (1.28%) problems. Conclusions: As shown in the present study very high percentage of morbidities were found in the study population. As a result, there is a need to further strengthen existing geriatric health care services at primary, secondary and tertiary level. | ||
650 | 4 | |a elderly | |
650 | 4 | |a geriatric | |
650 | 4 | |a morbidity | |
650 | 4 | |a rural | |
650 | 4 | |a urban | |
653 | 0 | |a Medicine | |
653 | 0 | |a R | |
700 | 0 | |a Surekha Kishore |e verfasserin |4 aut | |
700 | 0 | |a Mahendra Singh |e verfasserin |4 aut | |
700 | 0 | |a Bhavna Jain |e verfasserin |4 aut | |
700 | 0 | |a Deepak Kumar |e verfasserin |4 aut | |
700 | 0 | |a Navuluri Kranthi Kumar Reddy |e verfasserin |4 aut | |
700 | 0 | |a Abu Rehan |e verfasserin |4 aut | |
700 | 0 | |a Satish Kumar Ranjan |e verfasserin |4 aut | |
773 | 0 | 8 | |i In |t Journal of Family Medicine and Primary Care |d Wolters Kluwer Medknow Publications, 2017 |g 9(2020), 7, Seite 3677-3681 |w (DE-627)769225241 |w (DE-600)2735275-4 |x 22787135 |7 nnns |
773 | 1 | 8 | |g volume:9 |g year:2020 |g number:7 |g pages:3677-3681 |
856 | 4 | 0 | |u https://doi.org/10.4103/jfmpc.jfmpc_256_20 |z kostenfrei |
856 | 4 | 0 | |u https://doaj.org/article/bdf9a90d8f04438482a3a526a6047ae1 |z kostenfrei |
856 | 4 | 0 | |u http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=7;spage=3677;epage=3681;aulast=Usha |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/2249-4863 |y Journal toc |z kostenfrei |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_DOAJ | ||
912 | |a GBV_ILN_11 | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_23 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_31 | ||
912 | |a GBV_ILN_39 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_60 | ||
912 | |a GBV_ILN_62 | ||
912 | |a GBV_ILN_63 | ||
912 | |a GBV_ILN_65 | ||
912 | |a GBV_ILN_69 | ||
912 | |a GBV_ILN_73 | ||
912 | |a GBV_ILN_74 | ||
912 | |a GBV_ILN_95 | ||
912 | |a GBV_ILN_105 | ||
912 | |a GBV_ILN_110 | ||
912 | |a GBV_ILN_151 | ||
912 | |a GBV_ILN_161 | ||
912 | |a GBV_ILN_170 | ||
912 | |a GBV_ILN_206 | ||
912 | |a GBV_ILN_213 | ||
912 | |a GBV_ILN_230 | ||
912 | |a GBV_ILN_285 | ||
912 | |a GBV_ILN_293 | ||
912 | |a GBV_ILN_602 | ||
912 | |a GBV_ILN_702 | ||
912 | |a GBV_ILN_2001 | ||
912 | |a GBV_ILN_2003 | ||
912 | |a GBV_ILN_2005 | ||
912 | |a GBV_ILN_2006 | ||
912 | |a GBV_ILN_2008 | ||
912 | |a GBV_ILN_2009 | ||
912 | |a GBV_ILN_2010 | ||
912 | |a GBV_ILN_2011 | ||
912 | |a GBV_ILN_2014 | ||
912 | |a GBV_ILN_2015 | ||
912 | |a GBV_ILN_2020 | ||
912 | |a GBV_ILN_2025 | ||
912 | |a GBV_ILN_2031 | ||
912 | |a GBV_ILN_2044 | ||
912 | |a GBV_ILN_2048 | ||
912 | |a GBV_ILN_2050 | ||
912 | |a GBV_ILN_2055 | ||
912 | |a GBV_ILN_2056 | ||
912 | |a GBV_ILN_2057 | ||
912 | |a GBV_ILN_2061 | ||
912 | |a GBV_ILN_2111 | ||
912 | |a GBV_ILN_2190 | ||
912 | |a GBV_ILN_4012 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4126 | ||
912 | |a GBV_ILN_4249 | ||
912 | |a GBV_ILN_4305 | ||
912 | |a GBV_ILN_4306 | ||
912 | |a GBV_ILN_4307 | ||
912 | |a GBV_ILN_4313 | ||
912 | |a GBV_ILN_4322 | ||
912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
912 | |a GBV_ILN_4325 | ||
912 | |a GBV_ILN_4338 | ||
912 | |a GBV_ILN_4367 | ||
912 | |a GBV_ILN_4700 | ||
951 | |a AR | ||
952 | |d 9 |j 2020 |e 7 |h 3677-3681 |
author_variant |
p u pu s k sk m s ms b j bj d k dk n k k r nkkr a r ar s k r skr |
---|---|
matchkey_str |
article:22787135:2020----::suyfobdtpoiemngrarcouainntaahnaomn |
hierarchy_sort_str |
2020 |
publishDate |
2020 |
allfields |
10.4103/jfmpc.jfmpc_256_20 doi (DE-627)DOAJ03653238X (DE-599)DOAJbdf9a90d8f04438482a3a526a6047ae1 DE-627 ger DE-627 rakwb eng Preeti Usha verfasserin aut A study of morbidity profile among geriatric population in Uttarakhand: A community based cross-sectional study 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Context: Population of elderly in India is growing day by day. Elderly population of India is 8.6% and in Uttarakhand it is 8.9%. Health needs of geriatric people differs from others. This study was an attempt to study the morbidity profile of geriatric people that may serve as a baseline data and also help in planning the health services. Aims: To study Morbidity profile of geriatric population in Uttarakhand. Settings and Design: Acommunity-based cross-sectional study was conducted among geriatric people in rural and urban areas of Uttarakhand. Study participants aged 60 years and above were included in the study and a sample size of 400 was calculated. Methods and Materials: Predesigned, pretested and semistructured questionnaire was used to collect information on sociodemographic characteristics and morbidity status of study participants. Statistical Analysis Used: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods. Results: Among 400 elderly people most common organ system affected was musculoskeletal (77.20%). Other commonly affected health systems were psychological (75.90%), digestive (73.60%), eye (56.67%), endocrine (35.90%), cardiovascular (33.08%), general and unspecified health problems (32.05%), ear (24.62%) and respiratory system (19.74%). Very few elderlies had neurological (6.67%) and urological (1.28%) problems. Conclusions: As shown in the present study very high percentage of morbidities were found in the study population. As a result, there is a need to further strengthen existing geriatric health care services at primary, secondary and tertiary level. elderly geriatric morbidity rural urban Medicine R Surekha Kishore verfasserin aut Mahendra Singh verfasserin aut Bhavna Jain verfasserin aut Deepak Kumar verfasserin aut Navuluri Kranthi Kumar Reddy verfasserin aut Abu Rehan verfasserin aut Satish Kumar Ranjan verfasserin aut In Journal of Family Medicine and Primary Care Wolters Kluwer Medknow Publications, 2017 9(2020), 7, Seite 3677-3681 (DE-627)769225241 (DE-600)2735275-4 22787135 nnns volume:9 year:2020 number:7 pages:3677-3681 https://doi.org/10.4103/jfmpc.jfmpc_256_20 kostenfrei https://doaj.org/article/bdf9a90d8f04438482a3a526a6047ae1 kostenfrei http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=7;spage=3677;epage=3681;aulast=Usha kostenfrei https://doaj.org/toc/2249-4863 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 7 3677-3681 |
spelling |
10.4103/jfmpc.jfmpc_256_20 doi (DE-627)DOAJ03653238X (DE-599)DOAJbdf9a90d8f04438482a3a526a6047ae1 DE-627 ger DE-627 rakwb eng Preeti Usha verfasserin aut A study of morbidity profile among geriatric population in Uttarakhand: A community based cross-sectional study 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Context: Population of elderly in India is growing day by day. Elderly population of India is 8.6% and in Uttarakhand it is 8.9%. Health needs of geriatric people differs from others. This study was an attempt to study the morbidity profile of geriatric people that may serve as a baseline data and also help in planning the health services. Aims: To study Morbidity profile of geriatric population in Uttarakhand. Settings and Design: Acommunity-based cross-sectional study was conducted among geriatric people in rural and urban areas of Uttarakhand. Study participants aged 60 years and above were included in the study and a sample size of 400 was calculated. Methods and Materials: Predesigned, pretested and semistructured questionnaire was used to collect information on sociodemographic characteristics and morbidity status of study participants. Statistical Analysis Used: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods. Results: Among 400 elderly people most common organ system affected was musculoskeletal (77.20%). Other commonly affected health systems were psychological (75.90%), digestive (73.60%), eye (56.67%), endocrine (35.90%), cardiovascular (33.08%), general and unspecified health problems (32.05%), ear (24.62%) and respiratory system (19.74%). Very few elderlies had neurological (6.67%) and urological (1.28%) problems. Conclusions: As shown in the present study very high percentage of morbidities were found in the study population. As a result, there is a need to further strengthen existing geriatric health care services at primary, secondary and tertiary level. elderly geriatric morbidity rural urban Medicine R Surekha Kishore verfasserin aut Mahendra Singh verfasserin aut Bhavna Jain verfasserin aut Deepak Kumar verfasserin aut Navuluri Kranthi Kumar Reddy verfasserin aut Abu Rehan verfasserin aut Satish Kumar Ranjan verfasserin aut In Journal of Family Medicine and Primary Care Wolters Kluwer Medknow Publications, 2017 9(2020), 7, Seite 3677-3681 (DE-627)769225241 (DE-600)2735275-4 22787135 nnns volume:9 year:2020 number:7 pages:3677-3681 https://doi.org/10.4103/jfmpc.jfmpc_256_20 kostenfrei https://doaj.org/article/bdf9a90d8f04438482a3a526a6047ae1 kostenfrei http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=7;spage=3677;epage=3681;aulast=Usha kostenfrei https://doaj.org/toc/2249-4863 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 7 3677-3681 |
allfields_unstemmed |
10.4103/jfmpc.jfmpc_256_20 doi (DE-627)DOAJ03653238X (DE-599)DOAJbdf9a90d8f04438482a3a526a6047ae1 DE-627 ger DE-627 rakwb eng Preeti Usha verfasserin aut A study of morbidity profile among geriatric population in Uttarakhand: A community based cross-sectional study 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Context: Population of elderly in India is growing day by day. Elderly population of India is 8.6% and in Uttarakhand it is 8.9%. Health needs of geriatric people differs from others. This study was an attempt to study the morbidity profile of geriatric people that may serve as a baseline data and also help in planning the health services. Aims: To study Morbidity profile of geriatric population in Uttarakhand. Settings and Design: Acommunity-based cross-sectional study was conducted among geriatric people in rural and urban areas of Uttarakhand. Study participants aged 60 years and above were included in the study and a sample size of 400 was calculated. Methods and Materials: Predesigned, pretested and semistructured questionnaire was used to collect information on sociodemographic characteristics and morbidity status of study participants. Statistical Analysis Used: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods. Results: Among 400 elderly people most common organ system affected was musculoskeletal (77.20%). Other commonly affected health systems were psychological (75.90%), digestive (73.60%), eye (56.67%), endocrine (35.90%), cardiovascular (33.08%), general and unspecified health problems (32.05%), ear (24.62%) and respiratory system (19.74%). Very few elderlies had neurological (6.67%) and urological (1.28%) problems. Conclusions: As shown in the present study very high percentage of morbidities were found in the study population. As a result, there is a need to further strengthen existing geriatric health care services at primary, secondary and tertiary level. elderly geriatric morbidity rural urban Medicine R Surekha Kishore verfasserin aut Mahendra Singh verfasserin aut Bhavna Jain verfasserin aut Deepak Kumar verfasserin aut Navuluri Kranthi Kumar Reddy verfasserin aut Abu Rehan verfasserin aut Satish Kumar Ranjan verfasserin aut In Journal of Family Medicine and Primary Care Wolters Kluwer Medknow Publications, 2017 9(2020), 7, Seite 3677-3681 (DE-627)769225241 (DE-600)2735275-4 22787135 nnns volume:9 year:2020 number:7 pages:3677-3681 https://doi.org/10.4103/jfmpc.jfmpc_256_20 kostenfrei https://doaj.org/article/bdf9a90d8f04438482a3a526a6047ae1 kostenfrei http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=7;spage=3677;epage=3681;aulast=Usha kostenfrei https://doaj.org/toc/2249-4863 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 7 3677-3681 |
allfieldsGer |
10.4103/jfmpc.jfmpc_256_20 doi (DE-627)DOAJ03653238X (DE-599)DOAJbdf9a90d8f04438482a3a526a6047ae1 DE-627 ger DE-627 rakwb eng Preeti Usha verfasserin aut A study of morbidity profile among geriatric population in Uttarakhand: A community based cross-sectional study 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Context: Population of elderly in India is growing day by day. Elderly population of India is 8.6% and in Uttarakhand it is 8.9%. Health needs of geriatric people differs from others. This study was an attempt to study the morbidity profile of geriatric people that may serve as a baseline data and also help in planning the health services. Aims: To study Morbidity profile of geriatric population in Uttarakhand. Settings and Design: Acommunity-based cross-sectional study was conducted among geriatric people in rural and urban areas of Uttarakhand. Study participants aged 60 years and above were included in the study and a sample size of 400 was calculated. Methods and Materials: Predesigned, pretested and semistructured questionnaire was used to collect information on sociodemographic characteristics and morbidity status of study participants. Statistical Analysis Used: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods. Results: Among 400 elderly people most common organ system affected was musculoskeletal (77.20%). Other commonly affected health systems were psychological (75.90%), digestive (73.60%), eye (56.67%), endocrine (35.90%), cardiovascular (33.08%), general and unspecified health problems (32.05%), ear (24.62%) and respiratory system (19.74%). Very few elderlies had neurological (6.67%) and urological (1.28%) problems. Conclusions: As shown in the present study very high percentage of morbidities were found in the study population. As a result, there is a need to further strengthen existing geriatric health care services at primary, secondary and tertiary level. elderly geriatric morbidity rural urban Medicine R Surekha Kishore verfasserin aut Mahendra Singh verfasserin aut Bhavna Jain verfasserin aut Deepak Kumar verfasserin aut Navuluri Kranthi Kumar Reddy verfasserin aut Abu Rehan verfasserin aut Satish Kumar Ranjan verfasserin aut In Journal of Family Medicine and Primary Care Wolters Kluwer Medknow Publications, 2017 9(2020), 7, Seite 3677-3681 (DE-627)769225241 (DE-600)2735275-4 22787135 nnns volume:9 year:2020 number:7 pages:3677-3681 https://doi.org/10.4103/jfmpc.jfmpc_256_20 kostenfrei https://doaj.org/article/bdf9a90d8f04438482a3a526a6047ae1 kostenfrei http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=7;spage=3677;epage=3681;aulast=Usha kostenfrei https://doaj.org/toc/2249-4863 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 7 3677-3681 |
allfieldsSound |
10.4103/jfmpc.jfmpc_256_20 doi (DE-627)DOAJ03653238X (DE-599)DOAJbdf9a90d8f04438482a3a526a6047ae1 DE-627 ger DE-627 rakwb eng Preeti Usha verfasserin aut A study of morbidity profile among geriatric population in Uttarakhand: A community based cross-sectional study 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Context: Population of elderly in India is growing day by day. Elderly population of India is 8.6% and in Uttarakhand it is 8.9%. Health needs of geriatric people differs from others. This study was an attempt to study the morbidity profile of geriatric people that may serve as a baseline data and also help in planning the health services. Aims: To study Morbidity profile of geriatric population in Uttarakhand. Settings and Design: Acommunity-based cross-sectional study was conducted among geriatric people in rural and urban areas of Uttarakhand. Study participants aged 60 years and above were included in the study and a sample size of 400 was calculated. Methods and Materials: Predesigned, pretested and semistructured questionnaire was used to collect information on sociodemographic characteristics and morbidity status of study participants. Statistical Analysis Used: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods. Results: Among 400 elderly people most common organ system affected was musculoskeletal (77.20%). Other commonly affected health systems were psychological (75.90%), digestive (73.60%), eye (56.67%), endocrine (35.90%), cardiovascular (33.08%), general and unspecified health problems (32.05%), ear (24.62%) and respiratory system (19.74%). Very few elderlies had neurological (6.67%) and urological (1.28%) problems. Conclusions: As shown in the present study very high percentage of morbidities were found in the study population. As a result, there is a need to further strengthen existing geriatric health care services at primary, secondary and tertiary level. elderly geriatric morbidity rural urban Medicine R Surekha Kishore verfasserin aut Mahendra Singh verfasserin aut Bhavna Jain verfasserin aut Deepak Kumar verfasserin aut Navuluri Kranthi Kumar Reddy verfasserin aut Abu Rehan verfasserin aut Satish Kumar Ranjan verfasserin aut In Journal of Family Medicine and Primary Care Wolters Kluwer Medknow Publications, 2017 9(2020), 7, Seite 3677-3681 (DE-627)769225241 (DE-600)2735275-4 22787135 nnns volume:9 year:2020 number:7 pages:3677-3681 https://doi.org/10.4103/jfmpc.jfmpc_256_20 kostenfrei https://doaj.org/article/bdf9a90d8f04438482a3a526a6047ae1 kostenfrei http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=7;spage=3677;epage=3681;aulast=Usha kostenfrei https://doaj.org/toc/2249-4863 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 7 3677-3681 |
language |
English |
source |
In Journal of Family Medicine and Primary Care 9(2020), 7, Seite 3677-3681 volume:9 year:2020 number:7 pages:3677-3681 |
sourceStr |
In Journal of Family Medicine and Primary Care 9(2020), 7, Seite 3677-3681 volume:9 year:2020 number:7 pages:3677-3681 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
elderly geriatric morbidity rural urban Medicine R |
isfreeaccess_bool |
true |
container_title |
Journal of Family Medicine and Primary Care |
authorswithroles_txt_mv |
Preeti Usha @@aut@@ Surekha Kishore @@aut@@ Mahendra Singh @@aut@@ Bhavna Jain @@aut@@ Deepak Kumar @@aut@@ Navuluri Kranthi Kumar Reddy @@aut@@ Abu Rehan @@aut@@ Satish Kumar Ranjan @@aut@@ |
publishDateDaySort_date |
2020-01-01T00:00:00Z |
hierarchy_top_id |
769225241 |
id |
DOAJ03653238X |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ03653238X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230307231829.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4103/jfmpc.jfmpc_256_20</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ03653238X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJbdf9a90d8f04438482a3a526a6047ae1</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Preeti Usha</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A study of morbidity profile among geriatric population in Uttarakhand: A community based cross-sectional study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Context: Population of elderly in India is growing day by day. Elderly population of India is 8.6% and in Uttarakhand it is 8.9%. Health needs of geriatric people differs from others. This study was an attempt to study the morbidity profile of geriatric people that may serve as a baseline data and also help in planning the health services. Aims: To study Morbidity profile of geriatric population in Uttarakhand. Settings and Design: Acommunity-based cross-sectional study was conducted among geriatric people in rural and urban areas of Uttarakhand. Study participants aged 60 years and above were included in the study and a sample size of 400 was calculated. Methods and Materials: Predesigned, pretested and semistructured questionnaire was used to collect information on sociodemographic characteristics and morbidity status of study participants. Statistical Analysis Used: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods. Results: Among 400 elderly people most common organ system affected was musculoskeletal (77.20%). Other commonly affected health systems were psychological (75.90%), digestive (73.60%), eye (56.67%), endocrine (35.90%), cardiovascular (33.08%), general and unspecified health problems (32.05%), ear (24.62%) and respiratory system (19.74%). Very few elderlies had neurological (6.67%) and urological (1.28%) problems. Conclusions: As shown in the present study very high percentage of morbidities were found in the study population. As a result, there is a need to further strengthen existing geriatric health care services at primary, secondary and tertiary level.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">elderly</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">geriatric</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">morbidity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">rural</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">urban</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Medicine</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">R</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Surekha Kishore</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mahendra Singh</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Bhavna Jain</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Deepak Kumar</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Navuluri Kranthi Kumar Reddy</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Abu Rehan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Satish Kumar Ranjan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Journal of Family Medicine and Primary Care</subfield><subfield code="d">Wolters Kluwer Medknow Publications, 2017</subfield><subfield code="g">9(2020), 7, Seite 3677-3681</subfield><subfield code="w">(DE-627)769225241</subfield><subfield code="w">(DE-600)2735275-4</subfield><subfield code="x">22787135</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:9</subfield><subfield code="g">year:2020</subfield><subfield code="g">number:7</subfield><subfield code="g">pages:3677-3681</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.4103/jfmpc.jfmpc_256_20</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/bdf9a90d8f04438482a3a526a6047ae1</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=7;spage=3677;epage=3681;aulast=Usha</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2249-4863</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2031</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2057</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">9</subfield><subfield code="j">2020</subfield><subfield code="e">7</subfield><subfield code="h">3677-3681</subfield></datafield></record></collection>
|
author |
Preeti Usha |
spellingShingle |
Preeti Usha misc elderly misc geriatric misc morbidity misc rural misc urban misc Medicine misc R A study of morbidity profile among geriatric population in Uttarakhand: A community based cross-sectional study |
authorStr |
Preeti Usha |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)769225241 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut aut aut aut |
collection |
DOAJ |
remote_str |
true |
illustrated |
Not Illustrated |
issn |
22787135 |
topic_title |
A study of morbidity profile among geriatric population in Uttarakhand: A community based cross-sectional study elderly geriatric morbidity rural urban |
topic |
misc elderly misc geriatric misc morbidity misc rural misc urban misc Medicine misc R |
topic_unstemmed |
misc elderly misc geriatric misc morbidity misc rural misc urban misc Medicine misc R |
topic_browse |
misc elderly misc geriatric misc morbidity misc rural misc urban misc Medicine misc R |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Journal of Family Medicine and Primary Care |
hierarchy_parent_id |
769225241 |
hierarchy_top_title |
Journal of Family Medicine and Primary Care |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)769225241 (DE-600)2735275-4 |
title |
A study of morbidity profile among geriatric population in Uttarakhand: A community based cross-sectional study |
ctrlnum |
(DE-627)DOAJ03653238X (DE-599)DOAJbdf9a90d8f04438482a3a526a6047ae1 |
title_full |
A study of morbidity profile among geriatric population in Uttarakhand: A community based cross-sectional study |
author_sort |
Preeti Usha |
journal |
Journal of Family Medicine and Primary Care |
journalStr |
Journal of Family Medicine and Primary Care |
lang_code |
eng |
isOA_bool |
true |
recordtype |
marc |
publishDateSort |
2020 |
contenttype_str_mv |
txt |
container_start_page |
3677 |
author_browse |
Preeti Usha Surekha Kishore Mahendra Singh Bhavna Jain Deepak Kumar Navuluri Kranthi Kumar Reddy Abu Rehan Satish Kumar Ranjan |
container_volume |
9 |
format_se |
Elektronische Aufsätze |
author-letter |
Preeti Usha |
doi_str_mv |
10.4103/jfmpc.jfmpc_256_20 |
author2-role |
verfasserin |
title_sort |
study of morbidity profile among geriatric population in uttarakhand: a community based cross-sectional study |
title_auth |
A study of morbidity profile among geriatric population in Uttarakhand: A community based cross-sectional study |
abstract |
Context: Population of elderly in India is growing day by day. Elderly population of India is 8.6% and in Uttarakhand it is 8.9%. Health needs of geriatric people differs from others. This study was an attempt to study the morbidity profile of geriatric people that may serve as a baseline data and also help in planning the health services. Aims: To study Morbidity profile of geriatric population in Uttarakhand. Settings and Design: Acommunity-based cross-sectional study was conducted among geriatric people in rural and urban areas of Uttarakhand. Study participants aged 60 years and above were included in the study and a sample size of 400 was calculated. Methods and Materials: Predesigned, pretested and semistructured questionnaire was used to collect information on sociodemographic characteristics and morbidity status of study participants. Statistical Analysis Used: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods. Results: Among 400 elderly people most common organ system affected was musculoskeletal (77.20%). Other commonly affected health systems were psychological (75.90%), digestive (73.60%), eye (56.67%), endocrine (35.90%), cardiovascular (33.08%), general and unspecified health problems (32.05%), ear (24.62%) and respiratory system (19.74%). Very few elderlies had neurological (6.67%) and urological (1.28%) problems. Conclusions: As shown in the present study very high percentage of morbidities were found in the study population. As a result, there is a need to further strengthen existing geriatric health care services at primary, secondary and tertiary level. |
abstractGer |
Context: Population of elderly in India is growing day by day. Elderly population of India is 8.6% and in Uttarakhand it is 8.9%. Health needs of geriatric people differs from others. This study was an attempt to study the morbidity profile of geriatric people that may serve as a baseline data and also help in planning the health services. Aims: To study Morbidity profile of geriatric population in Uttarakhand. Settings and Design: Acommunity-based cross-sectional study was conducted among geriatric people in rural and urban areas of Uttarakhand. Study participants aged 60 years and above were included in the study and a sample size of 400 was calculated. Methods and Materials: Predesigned, pretested and semistructured questionnaire was used to collect information on sociodemographic characteristics and morbidity status of study participants. Statistical Analysis Used: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods. Results: Among 400 elderly people most common organ system affected was musculoskeletal (77.20%). Other commonly affected health systems were psychological (75.90%), digestive (73.60%), eye (56.67%), endocrine (35.90%), cardiovascular (33.08%), general and unspecified health problems (32.05%), ear (24.62%) and respiratory system (19.74%). Very few elderlies had neurological (6.67%) and urological (1.28%) problems. Conclusions: As shown in the present study very high percentage of morbidities were found in the study population. As a result, there is a need to further strengthen existing geriatric health care services at primary, secondary and tertiary level. |
abstract_unstemmed |
Context: Population of elderly in India is growing day by day. Elderly population of India is 8.6% and in Uttarakhand it is 8.9%. Health needs of geriatric people differs from others. This study was an attempt to study the morbidity profile of geriatric people that may serve as a baseline data and also help in planning the health services. Aims: To study Morbidity profile of geriatric population in Uttarakhand. Settings and Design: Acommunity-based cross-sectional study was conducted among geriatric people in rural and urban areas of Uttarakhand. Study participants aged 60 years and above were included in the study and a sample size of 400 was calculated. Methods and Materials: Predesigned, pretested and semistructured questionnaire was used to collect information on sociodemographic characteristics and morbidity status of study participants. Statistical Analysis Used: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods. Results: Among 400 elderly people most common organ system affected was musculoskeletal (77.20%). Other commonly affected health systems were psychological (75.90%), digestive (73.60%), eye (56.67%), endocrine (35.90%), cardiovascular (33.08%), general and unspecified health problems (32.05%), ear (24.62%) and respiratory system (19.74%). Very few elderlies had neurological (6.67%) and urological (1.28%) problems. Conclusions: As shown in the present study very high percentage of morbidities were found in the study population. As a result, there is a need to further strengthen existing geriatric health care services at primary, secondary and tertiary level. |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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 |
container_issue |
7 |
title_short |
A study of morbidity profile among geriatric population in Uttarakhand: A community based cross-sectional study |
url |
https://doi.org/10.4103/jfmpc.jfmpc_256_20 https://doaj.org/article/bdf9a90d8f04438482a3a526a6047ae1 http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=7;spage=3677;epage=3681;aulast=Usha https://doaj.org/toc/2249-4863 |
remote_bool |
true |
author2 |
Surekha Kishore Mahendra Singh Bhavna Jain Deepak Kumar Navuluri Kranthi Kumar Reddy Abu Rehan Satish Kumar Ranjan |
author2Str |
Surekha Kishore Mahendra Singh Bhavna Jain Deepak Kumar Navuluri Kranthi Kumar Reddy Abu Rehan Satish Kumar Ranjan |
ppnlink |
769225241 |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
doi_str |
10.4103/jfmpc.jfmpc_256_20 |
up_date |
2024-07-03T21:07:04.031Z |
_version_ |
1803593527103324161 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ03653238X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230307231829.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4103/jfmpc.jfmpc_256_20</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ03653238X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJbdf9a90d8f04438482a3a526a6047ae1</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Preeti Usha</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A study of morbidity profile among geriatric population in Uttarakhand: A community based cross-sectional study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Context: Population of elderly in India is growing day by day. Elderly population of India is 8.6% and in Uttarakhand it is 8.9%. Health needs of geriatric people differs from others. This study was an attempt to study the morbidity profile of geriatric people that may serve as a baseline data and also help in planning the health services. Aims: To study Morbidity profile of geriatric population in Uttarakhand. Settings and Design: Acommunity-based cross-sectional study was conducted among geriatric people in rural and urban areas of Uttarakhand. Study participants aged 60 years and above were included in the study and a sample size of 400 was calculated. Methods and Materials: Predesigned, pretested and semistructured questionnaire was used to collect information on sociodemographic characteristics and morbidity status of study participants. Statistical Analysis Used: Data was entered into excel sheets and analyzed using SPSS version 23 utilizing appropriate statistical methods. Results: Among 400 elderly people most common organ system affected was musculoskeletal (77.20%). Other commonly affected health systems were psychological (75.90%), digestive (73.60%), eye (56.67%), endocrine (35.90%), cardiovascular (33.08%), general and unspecified health problems (32.05%), ear (24.62%) and respiratory system (19.74%). Very few elderlies had neurological (6.67%) and urological (1.28%) problems. Conclusions: As shown in the present study very high percentage of morbidities were found in the study population. As a result, there is a need to further strengthen existing geriatric health care services at primary, secondary and tertiary level.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">elderly</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">geriatric</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">morbidity</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">rural</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">urban</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Medicine</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">R</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Surekha Kishore</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mahendra Singh</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Bhavna Jain</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Deepak Kumar</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Navuluri Kranthi Kumar Reddy</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Abu Rehan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Satish Kumar Ranjan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Journal of Family Medicine and Primary Care</subfield><subfield code="d">Wolters Kluwer Medknow Publications, 2017</subfield><subfield code="g">9(2020), 7, Seite 3677-3681</subfield><subfield code="w">(DE-627)769225241</subfield><subfield code="w">(DE-600)2735275-4</subfield><subfield code="x">22787135</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:9</subfield><subfield code="g">year:2020</subfield><subfield code="g">number:7</subfield><subfield code="g">pages:3677-3681</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.4103/jfmpc.jfmpc_256_20</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/bdf9a90d8f04438482a3a526a6047ae1</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.jfmpc.com/article.asp?issn=2249-4863;year=2020;volume=9;issue=7;spage=3677;epage=3681;aulast=Usha</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2249-4863</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2031</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2057</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">9</subfield><subfield code="j">2020</subfield><subfield code="e">7</subfield><subfield code="h">3677-3681</subfield></datafield></record></collection>
|
score |
7.402916 |