Risk factors for noncommunicable chronic diseases in women in China: surveillance efforts
Objective To investigate risk factors for chronic noncommunicable diseases (NCDs) and their determinants in Chinese women. Methods Data from the 2010 China Chronic Disease and Risk Factor Surveillance survey, comprising a nationally representative sample of women, were obtained to determine the pr...
Ausführliche Beschreibung
Autor*in: |
Yichong Li [verfasserIn] Limin Wang [verfasserIn] Yong Jiang [verfasserIn] Mei Zhang [verfasserIn] Linhong Wang [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2013 |
---|
Übergeordnetes Werk: |
In: Bulletin of the World Health Organization - The World Health Organization, 2024, 91(2013), 9, Seite 650-660 |
---|---|
Übergeordnetes Werk: |
volume:91 ; year:2013 ; number:9 ; pages:650-660 |
Links: |
---|
DOI / URN: |
10.2471/BLT.13.117549 |
---|
Katalog-ID: |
DOAJ101422148 |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | DOAJ101422148 | ||
003 | DE-627 | ||
005 | 20240414163251.0 | ||
007 | cr uuu---uuuuu | ||
008 | 240414s2013 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.2471/BLT.13.117549 |2 doi | |
035 | |a (DE-627)DOAJ101422148 | ||
035 | |a (DE-599)DOAJ31dc91ee9ba949aca3874ea44b4eafcb | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
050 | 0 | |a RA1-1270 | |
100 | 0 | |a Yichong Li |e verfasserin |4 aut | |
245 | 1 | 0 | |a Risk factors for noncommunicable chronic diseases in women in China: surveillance efforts |
264 | 1 | |c 2013 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a Objective To investigate risk factors for chronic noncommunicable diseases (NCDs) and their determinants in Chinese women. Methods Data from the 2010 China Chronic Disease and Risk Factor Surveillance survey, comprising a nationally representative sample of women, were obtained to determine the prevalence of eight risk factors for chronic NCDs: current smoking, harmful use of alcohol, insufficient intake of fruit and vegetables, physical inactivity, overweight and obesity, raised blood pressure, raised fasting blood glucose and raised total serum cholesterol. The mean number of risk factors per woman was estimated. Their independent demographic and socioeconomic covariates were also examined with ordinal logistic regression. Findings The following prevalences were found: insufficient intake of fruit and vegetables, 51.7%; overweight and obesity, 32.3%; raised blood pressure, 29.7%; physical inactivity, 18.3%; raised total serum cholesterol, 18.1%; raised blood glucose, 7.0%; current smoking, 2.4%; and harmful use of alcohol, 1.3%. The mean number of risk factors per woman was 1.61; 48.0% of the women had at least two risk factors. Women who were older, poorer, from rural areas or from eastern or central China had more risk factors, but only being more than 35 years old, poorly educated and a resident of eastern or central China independently increased the likelihood of having multiple risk factors. Conclusion Risk factors for chronic NCDs are common among Chinese women aged 18 or older. Interventions to reduce these factors are needed and should target women who are older, who live in eastern or central China or who are poorly educated. | ||
653 | 0 | |a Public aspects of medicine | |
700 | 0 | |a Limin Wang |e verfasserin |4 aut | |
700 | 0 | |a Yong Jiang |e verfasserin |4 aut | |
700 | 0 | |a Mei Zhang |e verfasserin |4 aut | |
700 | 0 | |a Linhong Wang |e verfasserin |4 aut | |
773 | 0 | 8 | |i In |t Bulletin of the World Health Organization |d The World Health Organization, 2024 |g 91(2013), 9, Seite 650-660 |w (DE-627)324741111 |w (DE-600)2030027-X |x 15640604 |7 nnns |
773 | 1 | 8 | |g volume:91 |g year:2013 |g number:9 |g pages:650-660 |
856 | 4 | 0 | |u https://doi.org/10.2471/BLT.13.117549 |z kostenfrei |
856 | 4 | 0 | |u https://doaj.org/article/31dc91ee9ba949aca3874ea44b4eafcb |z kostenfrei |
856 | 4 | 0 | |u http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0042-96862013000900650&lng=en&tlng=en |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/0042-9686 |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_26 | ||
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_70 | ||
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_150 | ||
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_252 | ||
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_2021 | ||
912 | |a GBV_ILN_2025 | ||
912 | |a GBV_ILN_2027 | ||
912 | |a GBV_ILN_2031 | ||
912 | |a GBV_ILN_2037 | ||
912 | |a GBV_ILN_2038 | ||
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_2068 | ||
912 | |a GBV_ILN_2106 | ||
912 | |a GBV_ILN_2111 | ||
912 | |a GBV_ILN_2113 | ||
912 | |a GBV_ILN_2129 | ||
912 | |a GBV_ILN_2147 | ||
912 | |a GBV_ILN_2148 | ||
912 | |a GBV_ILN_2153 | ||
912 | |a GBV_ILN_2190 | ||
912 | |a GBV_ILN_2232 | ||
912 | |a GBV_ILN_4012 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4046 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4126 | ||
912 | |a GBV_ILN_4246 | ||
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 91 |j 2013 |e 9 |h 650-660 |
author_variant |
y l yl l w lw y j yj m z mz l w lw |
---|---|
matchkey_str |
article:15640604:2013----::ikatrfrocmuialcrnciessnoeici |
hierarchy_sort_str |
2013 |
callnumber-subject-code |
RA |
publishDate |
2013 |
allfields |
10.2471/BLT.13.117549 doi (DE-627)DOAJ101422148 (DE-599)DOAJ31dc91ee9ba949aca3874ea44b4eafcb DE-627 ger DE-627 rakwb eng RA1-1270 Yichong Li verfasserin aut Risk factors for noncommunicable chronic diseases in women in China: surveillance efforts 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective To investigate risk factors for chronic noncommunicable diseases (NCDs) and their determinants in Chinese women. Methods Data from the 2010 China Chronic Disease and Risk Factor Surveillance survey, comprising a nationally representative sample of women, were obtained to determine the prevalence of eight risk factors for chronic NCDs: current smoking, harmful use of alcohol, insufficient intake of fruit and vegetables, physical inactivity, overweight and obesity, raised blood pressure, raised fasting blood glucose and raised total serum cholesterol. The mean number of risk factors per woman was estimated. Their independent demographic and socioeconomic covariates were also examined with ordinal logistic regression. Findings The following prevalences were found: insufficient intake of fruit and vegetables, 51.7%; overweight and obesity, 32.3%; raised blood pressure, 29.7%; physical inactivity, 18.3%; raised total serum cholesterol, 18.1%; raised blood glucose, 7.0%; current smoking, 2.4%; and harmful use of alcohol, 1.3%. The mean number of risk factors per woman was 1.61; 48.0% of the women had at least two risk factors. Women who were older, poorer, from rural areas or from eastern or central China had more risk factors, but only being more than 35 years old, poorly educated and a resident of eastern or central China independently increased the likelihood of having multiple risk factors. Conclusion Risk factors for chronic NCDs are common among Chinese women aged 18 or older. Interventions to reduce these factors are needed and should target women who are older, who live in eastern or central China or who are poorly educated. Public aspects of medicine Limin Wang verfasserin aut Yong Jiang verfasserin aut Mei Zhang verfasserin aut Linhong Wang verfasserin aut In Bulletin of the World Health Organization The World Health Organization, 2024 91(2013), 9, Seite 650-660 (DE-627)324741111 (DE-600)2030027-X 15640604 nnns volume:91 year:2013 number:9 pages:650-660 https://doi.org/10.2471/BLT.13.117549 kostenfrei https://doaj.org/article/31dc91ee9ba949aca3874ea44b4eafcb kostenfrei http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0042-96862013000900650&lng=en&tlng=en kostenfrei https://doaj.org/toc/0042-9686 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_26 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_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_252 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_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 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 91 2013 9 650-660 |
spelling |
10.2471/BLT.13.117549 doi (DE-627)DOAJ101422148 (DE-599)DOAJ31dc91ee9ba949aca3874ea44b4eafcb DE-627 ger DE-627 rakwb eng RA1-1270 Yichong Li verfasserin aut Risk factors for noncommunicable chronic diseases in women in China: surveillance efforts 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective To investigate risk factors for chronic noncommunicable diseases (NCDs) and their determinants in Chinese women. Methods Data from the 2010 China Chronic Disease and Risk Factor Surveillance survey, comprising a nationally representative sample of women, were obtained to determine the prevalence of eight risk factors for chronic NCDs: current smoking, harmful use of alcohol, insufficient intake of fruit and vegetables, physical inactivity, overweight and obesity, raised blood pressure, raised fasting blood glucose and raised total serum cholesterol. The mean number of risk factors per woman was estimated. Their independent demographic and socioeconomic covariates were also examined with ordinal logistic regression. Findings The following prevalences were found: insufficient intake of fruit and vegetables, 51.7%; overweight and obesity, 32.3%; raised blood pressure, 29.7%; physical inactivity, 18.3%; raised total serum cholesterol, 18.1%; raised blood glucose, 7.0%; current smoking, 2.4%; and harmful use of alcohol, 1.3%. The mean number of risk factors per woman was 1.61; 48.0% of the women had at least two risk factors. Women who were older, poorer, from rural areas or from eastern or central China had more risk factors, but only being more than 35 years old, poorly educated and a resident of eastern or central China independently increased the likelihood of having multiple risk factors. Conclusion Risk factors for chronic NCDs are common among Chinese women aged 18 or older. Interventions to reduce these factors are needed and should target women who are older, who live in eastern or central China or who are poorly educated. Public aspects of medicine Limin Wang verfasserin aut Yong Jiang verfasserin aut Mei Zhang verfasserin aut Linhong Wang verfasserin aut In Bulletin of the World Health Organization The World Health Organization, 2024 91(2013), 9, Seite 650-660 (DE-627)324741111 (DE-600)2030027-X 15640604 nnns volume:91 year:2013 number:9 pages:650-660 https://doi.org/10.2471/BLT.13.117549 kostenfrei https://doaj.org/article/31dc91ee9ba949aca3874ea44b4eafcb kostenfrei http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0042-96862013000900650&lng=en&tlng=en kostenfrei https://doaj.org/toc/0042-9686 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_26 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_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_252 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_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 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 91 2013 9 650-660 |
allfields_unstemmed |
10.2471/BLT.13.117549 doi (DE-627)DOAJ101422148 (DE-599)DOAJ31dc91ee9ba949aca3874ea44b4eafcb DE-627 ger DE-627 rakwb eng RA1-1270 Yichong Li verfasserin aut Risk factors for noncommunicable chronic diseases in women in China: surveillance efforts 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective To investigate risk factors for chronic noncommunicable diseases (NCDs) and their determinants in Chinese women. Methods Data from the 2010 China Chronic Disease and Risk Factor Surveillance survey, comprising a nationally representative sample of women, were obtained to determine the prevalence of eight risk factors for chronic NCDs: current smoking, harmful use of alcohol, insufficient intake of fruit and vegetables, physical inactivity, overweight and obesity, raised blood pressure, raised fasting blood glucose and raised total serum cholesterol. The mean number of risk factors per woman was estimated. Their independent demographic and socioeconomic covariates were also examined with ordinal logistic regression. Findings The following prevalences were found: insufficient intake of fruit and vegetables, 51.7%; overweight and obesity, 32.3%; raised blood pressure, 29.7%; physical inactivity, 18.3%; raised total serum cholesterol, 18.1%; raised blood glucose, 7.0%; current smoking, 2.4%; and harmful use of alcohol, 1.3%. The mean number of risk factors per woman was 1.61; 48.0% of the women had at least two risk factors. Women who were older, poorer, from rural areas or from eastern or central China had more risk factors, but only being more than 35 years old, poorly educated and a resident of eastern or central China independently increased the likelihood of having multiple risk factors. Conclusion Risk factors for chronic NCDs are common among Chinese women aged 18 or older. Interventions to reduce these factors are needed and should target women who are older, who live in eastern or central China or who are poorly educated. Public aspects of medicine Limin Wang verfasserin aut Yong Jiang verfasserin aut Mei Zhang verfasserin aut Linhong Wang verfasserin aut In Bulletin of the World Health Organization The World Health Organization, 2024 91(2013), 9, Seite 650-660 (DE-627)324741111 (DE-600)2030027-X 15640604 nnns volume:91 year:2013 number:9 pages:650-660 https://doi.org/10.2471/BLT.13.117549 kostenfrei https://doaj.org/article/31dc91ee9ba949aca3874ea44b4eafcb kostenfrei http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0042-96862013000900650&lng=en&tlng=en kostenfrei https://doaj.org/toc/0042-9686 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_26 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_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_252 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_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 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 91 2013 9 650-660 |
allfieldsGer |
10.2471/BLT.13.117549 doi (DE-627)DOAJ101422148 (DE-599)DOAJ31dc91ee9ba949aca3874ea44b4eafcb DE-627 ger DE-627 rakwb eng RA1-1270 Yichong Li verfasserin aut Risk factors for noncommunicable chronic diseases in women in China: surveillance efforts 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective To investigate risk factors for chronic noncommunicable diseases (NCDs) and their determinants in Chinese women. Methods Data from the 2010 China Chronic Disease and Risk Factor Surveillance survey, comprising a nationally representative sample of women, were obtained to determine the prevalence of eight risk factors for chronic NCDs: current smoking, harmful use of alcohol, insufficient intake of fruit and vegetables, physical inactivity, overweight and obesity, raised blood pressure, raised fasting blood glucose and raised total serum cholesterol. The mean number of risk factors per woman was estimated. Their independent demographic and socioeconomic covariates were also examined with ordinal logistic regression. Findings The following prevalences were found: insufficient intake of fruit and vegetables, 51.7%; overweight and obesity, 32.3%; raised blood pressure, 29.7%; physical inactivity, 18.3%; raised total serum cholesterol, 18.1%; raised blood glucose, 7.0%; current smoking, 2.4%; and harmful use of alcohol, 1.3%. The mean number of risk factors per woman was 1.61; 48.0% of the women had at least two risk factors. Women who were older, poorer, from rural areas or from eastern or central China had more risk factors, but only being more than 35 years old, poorly educated and a resident of eastern or central China independently increased the likelihood of having multiple risk factors. Conclusion Risk factors for chronic NCDs are common among Chinese women aged 18 or older. Interventions to reduce these factors are needed and should target women who are older, who live in eastern or central China or who are poorly educated. Public aspects of medicine Limin Wang verfasserin aut Yong Jiang verfasserin aut Mei Zhang verfasserin aut Linhong Wang verfasserin aut In Bulletin of the World Health Organization The World Health Organization, 2024 91(2013), 9, Seite 650-660 (DE-627)324741111 (DE-600)2030027-X 15640604 nnns volume:91 year:2013 number:9 pages:650-660 https://doi.org/10.2471/BLT.13.117549 kostenfrei https://doaj.org/article/31dc91ee9ba949aca3874ea44b4eafcb kostenfrei http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0042-96862013000900650&lng=en&tlng=en kostenfrei https://doaj.org/toc/0042-9686 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_26 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_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_252 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_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 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 91 2013 9 650-660 |
allfieldsSound |
10.2471/BLT.13.117549 doi (DE-627)DOAJ101422148 (DE-599)DOAJ31dc91ee9ba949aca3874ea44b4eafcb DE-627 ger DE-627 rakwb eng RA1-1270 Yichong Li verfasserin aut Risk factors for noncommunicable chronic diseases in women in China: surveillance efforts 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objective To investigate risk factors for chronic noncommunicable diseases (NCDs) and their determinants in Chinese women. Methods Data from the 2010 China Chronic Disease and Risk Factor Surveillance survey, comprising a nationally representative sample of women, were obtained to determine the prevalence of eight risk factors for chronic NCDs: current smoking, harmful use of alcohol, insufficient intake of fruit and vegetables, physical inactivity, overweight and obesity, raised blood pressure, raised fasting blood glucose and raised total serum cholesterol. The mean number of risk factors per woman was estimated. Their independent demographic and socioeconomic covariates were also examined with ordinal logistic regression. Findings The following prevalences were found: insufficient intake of fruit and vegetables, 51.7%; overweight and obesity, 32.3%; raised blood pressure, 29.7%; physical inactivity, 18.3%; raised total serum cholesterol, 18.1%; raised blood glucose, 7.0%; current smoking, 2.4%; and harmful use of alcohol, 1.3%. The mean number of risk factors per woman was 1.61; 48.0% of the women had at least two risk factors. Women who were older, poorer, from rural areas or from eastern or central China had more risk factors, but only being more than 35 years old, poorly educated and a resident of eastern or central China independently increased the likelihood of having multiple risk factors. Conclusion Risk factors for chronic NCDs are common among Chinese women aged 18 or older. Interventions to reduce these factors are needed and should target women who are older, who live in eastern or central China or who are poorly educated. Public aspects of medicine Limin Wang verfasserin aut Yong Jiang verfasserin aut Mei Zhang verfasserin aut Linhong Wang verfasserin aut In Bulletin of the World Health Organization The World Health Organization, 2024 91(2013), 9, Seite 650-660 (DE-627)324741111 (DE-600)2030027-X 15640604 nnns volume:91 year:2013 number:9 pages:650-660 https://doi.org/10.2471/BLT.13.117549 kostenfrei https://doaj.org/article/31dc91ee9ba949aca3874ea44b4eafcb kostenfrei http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0042-96862013000900650&lng=en&tlng=en kostenfrei https://doaj.org/toc/0042-9686 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_26 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_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_252 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_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 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 91 2013 9 650-660 |
language |
English |
source |
In Bulletin of the World Health Organization 91(2013), 9, Seite 650-660 volume:91 year:2013 number:9 pages:650-660 |
sourceStr |
In Bulletin of the World Health Organization 91(2013), 9, Seite 650-660 volume:91 year:2013 number:9 pages:650-660 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Public aspects of medicine |
isfreeaccess_bool |
true |
container_title |
Bulletin of the World Health Organization |
authorswithroles_txt_mv |
Yichong Li @@aut@@ Limin Wang @@aut@@ Yong Jiang @@aut@@ Mei Zhang @@aut@@ Linhong Wang @@aut@@ |
publishDateDaySort_date |
2013-01-01T00:00:00Z |
hierarchy_top_id |
324741111 |
id |
DOAJ101422148 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ101422148</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240414163251.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240414s2013 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.2471/BLT.13.117549</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ101422148</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ31dc91ee9ba949aca3874ea44b4eafcb</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="050" ind1=" " ind2="0"><subfield code="a">RA1-1270</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Yichong Li</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Risk factors for noncommunicable chronic diseases in women in China: surveillance efforts</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2013</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">Objective To investigate risk factors for chronic noncommunicable diseases (NCDs) and their determinants in Chinese women. Methods Data from the 2010 China Chronic Disease and Risk Factor Surveillance survey, comprising a nationally representative sample of women, were obtained to determine the prevalence of eight risk factors for chronic NCDs: current smoking, harmful use of alcohol, insufficient intake of fruit and vegetables, physical inactivity, overweight and obesity, raised blood pressure, raised fasting blood glucose and raised total serum cholesterol. The mean number of risk factors per woman was estimated. Their independent demographic and socioeconomic covariates were also examined with ordinal logistic regression. Findings The following prevalences were found: insufficient intake of fruit and vegetables, 51.7%; overweight and obesity, 32.3%; raised blood pressure, 29.7%; physical inactivity, 18.3%; raised total serum cholesterol, 18.1%; raised blood glucose, 7.0%; current smoking, 2.4%; and harmful use of alcohol, 1.3%. The mean number of risk factors per woman was 1.61; 48.0% of the women had at least two risk factors. Women who were older, poorer, from rural areas or from eastern or central China had more risk factors, but only being more than 35 years old, poorly educated and a resident of eastern or central China independently increased the likelihood of having multiple risk factors. Conclusion Risk factors for chronic NCDs are common among Chinese women aged 18 or older. Interventions to reduce these factors are needed and should target women who are older, who live in eastern or central China or who are poorly educated.</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Public aspects of medicine</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Limin Wang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yong Jiang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mei Zhang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Linhong Wang</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">Bulletin of the World Health Organization</subfield><subfield code="d">The World Health Organization, 2024</subfield><subfield code="g">91(2013), 9, Seite 650-660</subfield><subfield code="w">(DE-627)324741111</subfield><subfield code="w">(DE-600)2030027-X</subfield><subfield code="x">15640604</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:91</subfield><subfield code="g">year:2013</subfield><subfield code="g">number:9</subfield><subfield code="g">pages:650-660</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.2471/BLT.13.117549</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/31dc91ee9ba949aca3874ea44b4eafcb</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0042-96862013000900650&lng=en&tlng=en</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/0042-9686</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_26</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_70</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_150</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_252</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_2021</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_2027</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_2037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</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_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</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_2113</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</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_2232</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_4046</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_4246</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">91</subfield><subfield code="j">2013</subfield><subfield code="e">9</subfield><subfield code="h">650-660</subfield></datafield></record></collection>
|
callnumber-first |
R - Medicine |
author |
Yichong Li |
spellingShingle |
Yichong Li misc RA1-1270 misc Public aspects of medicine Risk factors for noncommunicable chronic diseases in women in China: surveillance efforts |
authorStr |
Yichong Li |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)324741111 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut |
collection |
DOAJ |
remote_str |
true |
callnumber-label |
RA1-1270 |
illustrated |
Not Illustrated |
issn |
15640604 |
topic_title |
RA1-1270 Risk factors for noncommunicable chronic diseases in women in China: surveillance efforts |
topic |
misc RA1-1270 misc Public aspects of medicine |
topic_unstemmed |
misc RA1-1270 misc Public aspects of medicine |
topic_browse |
misc RA1-1270 misc Public aspects of medicine |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Bulletin of the World Health Organization |
hierarchy_parent_id |
324741111 |
hierarchy_top_title |
Bulletin of the World Health Organization |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)324741111 (DE-600)2030027-X |
title |
Risk factors for noncommunicable chronic diseases in women in China: surveillance efforts |
ctrlnum |
(DE-627)DOAJ101422148 (DE-599)DOAJ31dc91ee9ba949aca3874ea44b4eafcb |
title_full |
Risk factors for noncommunicable chronic diseases in women in China: surveillance efforts |
author_sort |
Yichong Li |
journal |
Bulletin of the World Health Organization |
journalStr |
Bulletin of the World Health Organization |
callnumber-first-code |
R |
lang_code |
eng |
isOA_bool |
true |
recordtype |
marc |
publishDateSort |
2013 |
contenttype_str_mv |
txt |
container_start_page |
650 |
author_browse |
Yichong Li Limin Wang Yong Jiang Mei Zhang Linhong Wang |
container_volume |
91 |
class |
RA1-1270 |
format_se |
Elektronische Aufsätze |
author-letter |
Yichong Li |
doi_str_mv |
10.2471/BLT.13.117549 |
author2-role |
verfasserin |
title_sort |
risk factors for noncommunicable chronic diseases in women in china: surveillance efforts |
callnumber |
RA1-1270 |
title_auth |
Risk factors for noncommunicable chronic diseases in women in China: surveillance efforts |
abstract |
Objective To investigate risk factors for chronic noncommunicable diseases (NCDs) and their determinants in Chinese women. Methods Data from the 2010 China Chronic Disease and Risk Factor Surveillance survey, comprising a nationally representative sample of women, were obtained to determine the prevalence of eight risk factors for chronic NCDs: current smoking, harmful use of alcohol, insufficient intake of fruit and vegetables, physical inactivity, overweight and obesity, raised blood pressure, raised fasting blood glucose and raised total serum cholesterol. The mean number of risk factors per woman was estimated. Their independent demographic and socioeconomic covariates were also examined with ordinal logistic regression. Findings The following prevalences were found: insufficient intake of fruit and vegetables, 51.7%; overweight and obesity, 32.3%; raised blood pressure, 29.7%; physical inactivity, 18.3%; raised total serum cholesterol, 18.1%; raised blood glucose, 7.0%; current smoking, 2.4%; and harmful use of alcohol, 1.3%. The mean number of risk factors per woman was 1.61; 48.0% of the women had at least two risk factors. Women who were older, poorer, from rural areas or from eastern or central China had more risk factors, but only being more than 35 years old, poorly educated and a resident of eastern or central China independently increased the likelihood of having multiple risk factors. Conclusion Risk factors for chronic NCDs are common among Chinese women aged 18 or older. Interventions to reduce these factors are needed and should target women who are older, who live in eastern or central China or who are poorly educated. |
abstractGer |
Objective To investigate risk factors for chronic noncommunicable diseases (NCDs) and their determinants in Chinese women. Methods Data from the 2010 China Chronic Disease and Risk Factor Surveillance survey, comprising a nationally representative sample of women, were obtained to determine the prevalence of eight risk factors for chronic NCDs: current smoking, harmful use of alcohol, insufficient intake of fruit and vegetables, physical inactivity, overweight and obesity, raised blood pressure, raised fasting blood glucose and raised total serum cholesterol. The mean number of risk factors per woman was estimated. Their independent demographic and socioeconomic covariates were also examined with ordinal logistic regression. Findings The following prevalences were found: insufficient intake of fruit and vegetables, 51.7%; overweight and obesity, 32.3%; raised blood pressure, 29.7%; physical inactivity, 18.3%; raised total serum cholesterol, 18.1%; raised blood glucose, 7.0%; current smoking, 2.4%; and harmful use of alcohol, 1.3%. The mean number of risk factors per woman was 1.61; 48.0% of the women had at least two risk factors. Women who were older, poorer, from rural areas or from eastern or central China had more risk factors, but only being more than 35 years old, poorly educated and a resident of eastern or central China independently increased the likelihood of having multiple risk factors. Conclusion Risk factors for chronic NCDs are common among Chinese women aged 18 or older. Interventions to reduce these factors are needed and should target women who are older, who live in eastern or central China or who are poorly educated. |
abstract_unstemmed |
Objective To investigate risk factors for chronic noncommunicable diseases (NCDs) and their determinants in Chinese women. Methods Data from the 2010 China Chronic Disease and Risk Factor Surveillance survey, comprising a nationally representative sample of women, were obtained to determine the prevalence of eight risk factors for chronic NCDs: current smoking, harmful use of alcohol, insufficient intake of fruit and vegetables, physical inactivity, overweight and obesity, raised blood pressure, raised fasting blood glucose and raised total serum cholesterol. The mean number of risk factors per woman was estimated. Their independent demographic and socioeconomic covariates were also examined with ordinal logistic regression. Findings The following prevalences were found: insufficient intake of fruit and vegetables, 51.7%; overweight and obesity, 32.3%; raised blood pressure, 29.7%; physical inactivity, 18.3%; raised total serum cholesterol, 18.1%; raised blood glucose, 7.0%; current smoking, 2.4%; and harmful use of alcohol, 1.3%. The mean number of risk factors per woman was 1.61; 48.0% of the women had at least two risk factors. Women who were older, poorer, from rural areas or from eastern or central China had more risk factors, but only being more than 35 years old, poorly educated and a resident of eastern or central China independently increased the likelihood of having multiple risk factors. Conclusion Risk factors for chronic NCDs are common among Chinese women aged 18 or older. Interventions to reduce these factors are needed and should target women who are older, who live in eastern or central China or who are poorly educated. |
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_26 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_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_252 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_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2106 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2129 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4246 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 |
9 |
title_short |
Risk factors for noncommunicable chronic diseases in women in China: surveillance efforts |
url |
https://doi.org/10.2471/BLT.13.117549 https://doaj.org/article/31dc91ee9ba949aca3874ea44b4eafcb http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0042-96862013000900650&lng=en&tlng=en https://doaj.org/toc/0042-9686 |
remote_bool |
true |
author2 |
Limin Wang Yong Jiang Mei Zhang Linhong Wang |
author2Str |
Limin Wang Yong Jiang Mei Zhang Linhong Wang |
ppnlink |
324741111 |
callnumber-subject |
RA - Public Medicine |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
doi_str |
10.2471/BLT.13.117549 |
callnumber-a |
RA1-1270 |
up_date |
2024-07-03T20:33:14.859Z |
_version_ |
1803591399361216512 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ101422148</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240414163251.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240414s2013 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.2471/BLT.13.117549</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ101422148</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ31dc91ee9ba949aca3874ea44b4eafcb</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="050" ind1=" " ind2="0"><subfield code="a">RA1-1270</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Yichong Li</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Risk factors for noncommunicable chronic diseases in women in China: surveillance efforts</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2013</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">Objective To investigate risk factors for chronic noncommunicable diseases (NCDs) and their determinants in Chinese women. Methods Data from the 2010 China Chronic Disease and Risk Factor Surveillance survey, comprising a nationally representative sample of women, were obtained to determine the prevalence of eight risk factors for chronic NCDs: current smoking, harmful use of alcohol, insufficient intake of fruit and vegetables, physical inactivity, overweight and obesity, raised blood pressure, raised fasting blood glucose and raised total serum cholesterol. The mean number of risk factors per woman was estimated. Their independent demographic and socioeconomic covariates were also examined with ordinal logistic regression. Findings The following prevalences were found: insufficient intake of fruit and vegetables, 51.7%; overweight and obesity, 32.3%; raised blood pressure, 29.7%; physical inactivity, 18.3%; raised total serum cholesterol, 18.1%; raised blood glucose, 7.0%; current smoking, 2.4%; and harmful use of alcohol, 1.3%. The mean number of risk factors per woman was 1.61; 48.0% of the women had at least two risk factors. Women who were older, poorer, from rural areas or from eastern or central China had more risk factors, but only being more than 35 years old, poorly educated and a resident of eastern or central China independently increased the likelihood of having multiple risk factors. Conclusion Risk factors for chronic NCDs are common among Chinese women aged 18 or older. Interventions to reduce these factors are needed and should target women who are older, who live in eastern or central China or who are poorly educated.</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Public aspects of medicine</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Limin Wang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Yong Jiang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mei Zhang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Linhong Wang</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">Bulletin of the World Health Organization</subfield><subfield code="d">The World Health Organization, 2024</subfield><subfield code="g">91(2013), 9, Seite 650-660</subfield><subfield code="w">(DE-627)324741111</subfield><subfield code="w">(DE-600)2030027-X</subfield><subfield code="x">15640604</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:91</subfield><subfield code="g">year:2013</subfield><subfield code="g">number:9</subfield><subfield code="g">pages:650-660</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.2471/BLT.13.117549</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/31dc91ee9ba949aca3874ea44b4eafcb</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.scielosp.org/scielo.php?script=sci_arttext&pid=S0042-96862013000900650&lng=en&tlng=en</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/0042-9686</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_26</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_70</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_150</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_252</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_2021</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_2027</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_2037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</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_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</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_2113</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</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_2232</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_4046</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_4246</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">91</subfield><subfield code="j">2013</subfield><subfield code="e">9</subfield><subfield code="h">650-660</subfield></datafield></record></collection>
|
score |
7.401846 |