Socio-economic gradients in the presence of musculoskeletal and other chronic diseases: results from a cross-sectional study in the Netherlands

Abstract Socio-economic gradients in occurrence of diseases have been reported for many chronic conditions. However, whether the magnitude of socio-economic gradients differs across diseases and the extent to which lifestyle mediates such relationships are not known. Cross-sectional data from The Na...
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Autor*in:	Putrik, P. [verfasserIn] Ramiro, S. [verfasserIn] Chorus, A. M. [verfasserIn] Keszei, A. P. [verfasserIn] Boonen, A. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	Chronic diseases Musculoskeletal diseases RMDs Socio-economic gradients Socio-economic inequalities

Übergeordnetes Werk:	Enthalten in: Clinical rheumatology - London : Springer, 1982, 37(2018), 12 vom: 12. Juni, Seite 3173-3182
Übergeordnetes Werk:	volume:37 ; year:2018 ; number:12 ; day:12 ; month:06 ; pages:3173-3182

Links:	Volltext

DOI / URN:	10.1007/s10067-018-4158-3

Katalog-ID:	SPR008528438

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520			\|a Abstract Socio-economic gradients in occurrence of diseases have been reported for many chronic conditions. However, whether the magnitude of socio-economic gradients differs across diseases and the extent to which lifestyle mediates such relationships are not known. Cross-sectional data from The National Monitor on Musculoskeletal System was used. Respondents (> 18 years) completed a questionnaire including gender, education, social status, lifestyle, and physician-diagnosed diseases. Logistic regressions investigated the relationship between education and the major chronic diseases (musculoskeletal diseases (MSKD), diabetes, cardiovascular (CVD), cancer, mental, respiratory, any disease). Next, analyses were repeated in individuals with potential to have paid work (i.e., those < 65 having paid work, being unemployed, or receiving living allowance (minimum income)). The mediating role of smoking and BMI between education and occurrence of diseases was assessed by testing indirect effects. From 8904 individuals (mean age 54 years, 46% male), 4378 (49%) had at least one disease. Gradients in occurrence of disease by education were present for all diseases except cancer and mental disease, with the strongest gradient in diabetes (OR 2.0 [95%CI 1.4;2.8]). Unemployment and especially living on minimum income were associated with increased odds to have MSKD and mental and respiratory disease, after adjusting for education. Smoking and obesity mediated part of the relationship between education and disease, with obesity playing more pronounced role. Association between deprivation and occurrence of all major chronic diseases is of comparable magnitude, with education having most consistent contribution. Our results support the notion of the generic (i.e., non-disease specific) mechanisms underlying socio-economic gradients in health.
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700	1		\|a Boonen, A. \|e verfasserin \|4 aut
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matchkey_str	article:14349949:2018----::oieooigainsnhpeecomsuokltlnohrhoidsaerslsrmco
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publishDate	2018
allfields	10.1007/s10067-018-4158-3 doi (DE-627)SPR008528438 (SPR)s10067-018-4158-3-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.00 bkl 44.83 bkl Putrik, P. verfasserin aut Socio-economic gradients in the presence of musculoskeletal and other chronic diseases: results from a cross-sectional study in the Netherlands 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Socio-economic gradients in occurrence of diseases have been reported for many chronic conditions. However, whether the magnitude of socio-economic gradients differs across diseases and the extent to which lifestyle mediates such relationships are not known. Cross-sectional data from The National Monitor on Musculoskeletal System was used. Respondents (> 18 years) completed a questionnaire including gender, education, social status, lifestyle, and physician-diagnosed diseases. Logistic regressions investigated the relationship between education and the major chronic diseases (musculoskeletal diseases (MSKD), diabetes, cardiovascular (CVD), cancer, mental, respiratory, any disease). Next, analyses were repeated in individuals with potential to have paid work (i.e., those < 65 having paid work, being unemployed, or receiving living allowance (minimum income)). The mediating role of smoking and BMI between education and occurrence of diseases was assessed by testing indirect effects. From 8904 individuals (mean age 54 years, 46% male), 4378 (49%) had at least one disease. Gradients in occurrence of disease by education were present for all diseases except cancer and mental disease, with the strongest gradient in diabetes (OR 2.0 [95%CI 1.4;2.8]). Unemployment and especially living on minimum income were associated with increased odds to have MSKD and mental and respiratory disease, after adjusting for education. Smoking and obesity mediated part of the relationship between education and disease, with obesity playing more pronounced role. Association between deprivation and occurrence of all major chronic diseases is of comparable magnitude, with education having most consistent contribution. Our results support the notion of the generic (i.e., non-disease specific) mechanisms underlying socio-economic gradients in health. Chronic diseases (dpeaa)DE-He213 Musculoskeletal diseases (dpeaa)DE-He213 RMDs (dpeaa)DE-He213 Socio-economic gradients (dpeaa)DE-He213 Socio-economic inequalities (dpeaa)DE-He213 Ramiro, S. verfasserin aut Chorus, A. M. verfasserin aut Keszei, A. P. verfasserin aut Boonen, A. verfasserin aut Enthalten in Clinical rheumatology London : Springer, 1982 37(2018), 12 vom: 12. Juni, Seite 3173-3182 (DE-627)27159909X (DE-600)1480901-1 1434-9949 nnns volume:37 year:2018 number:12 day:12 month:06 pages:3173-3182 https://dx.doi.org/10.1007/s10067-018-4158-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.00 ASE 44.83 ASE AR 37 2018 12 12 06 3173-3182
spelling	10.1007/s10067-018-4158-3 doi (DE-627)SPR008528438 (SPR)s10067-018-4158-3-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.00 bkl 44.83 bkl Putrik, P. verfasserin aut Socio-economic gradients in the presence of musculoskeletal and other chronic diseases: results from a cross-sectional study in the Netherlands 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Socio-economic gradients in occurrence of diseases have been reported for many chronic conditions. However, whether the magnitude of socio-economic gradients differs across diseases and the extent to which lifestyle mediates such relationships are not known. Cross-sectional data from The National Monitor on Musculoskeletal System was used. Respondents (> 18 years) completed a questionnaire including gender, education, social status, lifestyle, and physician-diagnosed diseases. Logistic regressions investigated the relationship between education and the major chronic diseases (musculoskeletal diseases (MSKD), diabetes, cardiovascular (CVD), cancer, mental, respiratory, any disease). Next, analyses were repeated in individuals with potential to have paid work (i.e., those < 65 having paid work, being unemployed, or receiving living allowance (minimum income)). The mediating role of smoking and BMI between education and occurrence of diseases was assessed by testing indirect effects. From 8904 individuals (mean age 54 years, 46% male), 4378 (49%) had at least one disease. Gradients in occurrence of disease by education were present for all diseases except cancer and mental disease, with the strongest gradient in diabetes (OR 2.0 [95%CI 1.4;2.8]). Unemployment and especially living on minimum income were associated with increased odds to have MSKD and mental and respiratory disease, after adjusting for education. Smoking and obesity mediated part of the relationship between education and disease, with obesity playing more pronounced role. Association between deprivation and occurrence of all major chronic diseases is of comparable magnitude, with education having most consistent contribution. Our results support the notion of the generic (i.e., non-disease specific) mechanisms underlying socio-economic gradients in health. Chronic diseases (dpeaa)DE-He213 Musculoskeletal diseases (dpeaa)DE-He213 RMDs (dpeaa)DE-He213 Socio-economic gradients (dpeaa)DE-He213 Socio-economic inequalities (dpeaa)DE-He213 Ramiro, S. verfasserin aut Chorus, A. M. verfasserin aut Keszei, A. P. verfasserin aut Boonen, A. verfasserin aut Enthalten in Clinical rheumatology London : Springer, 1982 37(2018), 12 vom: 12. Juni, Seite 3173-3182 (DE-627)27159909X (DE-600)1480901-1 1434-9949 nnns volume:37 year:2018 number:12 day:12 month:06 pages:3173-3182 https://dx.doi.org/10.1007/s10067-018-4158-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.00 ASE 44.83 ASE AR 37 2018 12 12 06 3173-3182
allfields_unstemmed	10.1007/s10067-018-4158-3 doi (DE-627)SPR008528438 (SPR)s10067-018-4158-3-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.00 bkl 44.83 bkl Putrik, P. verfasserin aut Socio-economic gradients in the presence of musculoskeletal and other chronic diseases: results from a cross-sectional study in the Netherlands 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Socio-economic gradients in occurrence of diseases have been reported for many chronic conditions. However, whether the magnitude of socio-economic gradients differs across diseases and the extent to which lifestyle mediates such relationships are not known. Cross-sectional data from The National Monitor on Musculoskeletal System was used. Respondents (> 18 years) completed a questionnaire including gender, education, social status, lifestyle, and physician-diagnosed diseases. Logistic regressions investigated the relationship between education and the major chronic diseases (musculoskeletal diseases (MSKD), diabetes, cardiovascular (CVD), cancer, mental, respiratory, any disease). Next, analyses were repeated in individuals with potential to have paid work (i.e., those < 65 having paid work, being unemployed, or receiving living allowance (minimum income)). The mediating role of smoking and BMI between education and occurrence of diseases was assessed by testing indirect effects. From 8904 individuals (mean age 54 years, 46% male), 4378 (49%) had at least one disease. Gradients in occurrence of disease by education were present for all diseases except cancer and mental disease, with the strongest gradient in diabetes (OR 2.0 [95%CI 1.4;2.8]). Unemployment and especially living on minimum income were associated with increased odds to have MSKD and mental and respiratory disease, after adjusting for education. Smoking and obesity mediated part of the relationship between education and disease, with obesity playing more pronounced role. Association between deprivation and occurrence of all major chronic diseases is of comparable magnitude, with education having most consistent contribution. Our results support the notion of the generic (i.e., non-disease specific) mechanisms underlying socio-economic gradients in health. Chronic diseases (dpeaa)DE-He213 Musculoskeletal diseases (dpeaa)DE-He213 RMDs (dpeaa)DE-He213 Socio-economic gradients (dpeaa)DE-He213 Socio-economic inequalities (dpeaa)DE-He213 Ramiro, S. verfasserin aut Chorus, A. M. verfasserin aut Keszei, A. P. verfasserin aut Boonen, A. verfasserin aut Enthalten in Clinical rheumatology London : Springer, 1982 37(2018), 12 vom: 12. Juni, Seite 3173-3182 (DE-627)27159909X (DE-600)1480901-1 1434-9949 nnns volume:37 year:2018 number:12 day:12 month:06 pages:3173-3182 https://dx.doi.org/10.1007/s10067-018-4158-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.00 ASE 44.83 ASE AR 37 2018 12 12 06 3173-3182
allfieldsGer	10.1007/s10067-018-4158-3 doi (DE-627)SPR008528438 (SPR)s10067-018-4158-3-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.00 bkl 44.83 bkl Putrik, P. verfasserin aut Socio-economic gradients in the presence of musculoskeletal and other chronic diseases: results from a cross-sectional study in the Netherlands 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Socio-economic gradients in occurrence of diseases have been reported for many chronic conditions. However, whether the magnitude of socio-economic gradients differs across diseases and the extent to which lifestyle mediates such relationships are not known. Cross-sectional data from The National Monitor on Musculoskeletal System was used. Respondents (> 18 years) completed a questionnaire including gender, education, social status, lifestyle, and physician-diagnosed diseases. Logistic regressions investigated the relationship between education and the major chronic diseases (musculoskeletal diseases (MSKD), diabetes, cardiovascular (CVD), cancer, mental, respiratory, any disease). Next, analyses were repeated in individuals with potential to have paid work (i.e., those < 65 having paid work, being unemployed, or receiving living allowance (minimum income)). The mediating role of smoking and BMI between education and occurrence of diseases was assessed by testing indirect effects. From 8904 individuals (mean age 54 years, 46% male), 4378 (49%) had at least one disease. Gradients in occurrence of disease by education were present for all diseases except cancer and mental disease, with the strongest gradient in diabetes (OR 2.0 [95%CI 1.4;2.8]). Unemployment and especially living on minimum income were associated with increased odds to have MSKD and mental and respiratory disease, after adjusting for education. Smoking and obesity mediated part of the relationship between education and disease, with obesity playing more pronounced role. Association between deprivation and occurrence of all major chronic diseases is of comparable magnitude, with education having most consistent contribution. Our results support the notion of the generic (i.e., non-disease specific) mechanisms underlying socio-economic gradients in health. Chronic diseases (dpeaa)DE-He213 Musculoskeletal diseases (dpeaa)DE-He213 RMDs (dpeaa)DE-He213 Socio-economic gradients (dpeaa)DE-He213 Socio-economic inequalities (dpeaa)DE-He213 Ramiro, S. verfasserin aut Chorus, A. M. verfasserin aut Keszei, A. P. verfasserin aut Boonen, A. verfasserin aut Enthalten in Clinical rheumatology London : Springer, 1982 37(2018), 12 vom: 12. Juni, Seite 3173-3182 (DE-627)27159909X (DE-600)1480901-1 1434-9949 nnns volume:37 year:2018 number:12 day:12 month:06 pages:3173-3182 https://dx.doi.org/10.1007/s10067-018-4158-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.00 ASE 44.83 ASE AR 37 2018 12 12 06 3173-3182
allfieldsSound	10.1007/s10067-018-4158-3 doi (DE-627)SPR008528438 (SPR)s10067-018-4158-3-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.00 bkl 44.83 bkl Putrik, P. verfasserin aut Socio-economic gradients in the presence of musculoskeletal and other chronic diseases: results from a cross-sectional study in the Netherlands 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Socio-economic gradients in occurrence of diseases have been reported for many chronic conditions. However, whether the magnitude of socio-economic gradients differs across diseases and the extent to which lifestyle mediates such relationships are not known. Cross-sectional data from The National Monitor on Musculoskeletal System was used. Respondents (> 18 years) completed a questionnaire including gender, education, social status, lifestyle, and physician-diagnosed diseases. Logistic regressions investigated the relationship between education and the major chronic diseases (musculoskeletal diseases (MSKD), diabetes, cardiovascular (CVD), cancer, mental, respiratory, any disease). Next, analyses were repeated in individuals with potential to have paid work (i.e., those < 65 having paid work, being unemployed, or receiving living allowance (minimum income)). The mediating role of smoking and BMI between education and occurrence of diseases was assessed by testing indirect effects. From 8904 individuals (mean age 54 years, 46% male), 4378 (49%) had at least one disease. Gradients in occurrence of disease by education were present for all diseases except cancer and mental disease, with the strongest gradient in diabetes (OR 2.0 [95%CI 1.4;2.8]). Unemployment and especially living on minimum income were associated with increased odds to have MSKD and mental and respiratory disease, after adjusting for education. Smoking and obesity mediated part of the relationship between education and disease, with obesity playing more pronounced role. Association between deprivation and occurrence of all major chronic diseases is of comparable magnitude, with education having most consistent contribution. Our results support the notion of the generic (i.e., non-disease specific) mechanisms underlying socio-economic gradients in health. Chronic diseases (dpeaa)DE-He213 Musculoskeletal diseases (dpeaa)DE-He213 RMDs (dpeaa)DE-He213 Socio-economic gradients (dpeaa)DE-He213 Socio-economic inequalities (dpeaa)DE-He213 Ramiro, S. verfasserin aut Chorus, A. M. verfasserin aut Keszei, A. P. verfasserin aut Boonen, A. verfasserin aut Enthalten in Clinical rheumatology London : Springer, 1982 37(2018), 12 vom: 12. Juni, Seite 3173-3182 (DE-627)27159909X (DE-600)1480901-1 1434-9949 nnns volume:37 year:2018 number:12 day:12 month:06 pages:3173-3182 https://dx.doi.org/10.1007/s10067-018-4158-3 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 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_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.00 ASE 44.83 ASE AR 37 2018 12 12 06 3173-3182
language	English
source	Enthalten in Clinical rheumatology 37(2018), 12 vom: 12. Juni, Seite 3173-3182 volume:37 year:2018 number:12 day:12 month:06 pages:3173-3182
sourceStr	Enthalten in Clinical rheumatology 37(2018), 12 vom: 12. Juni, Seite 3173-3182 volume:37 year:2018 number:12 day:12 month:06 pages:3173-3182
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Chronic diseases Musculoskeletal diseases RMDs Socio-economic gradients Socio-economic inequalities
dewey-raw	610
isfreeaccess_bool	true
container_title	Clinical rheumatology
authorswithroles_txt_mv	Putrik, P. @@aut@@ Ramiro, S. @@aut@@ Chorus, A. M. @@aut@@ Keszei, A. P. @@aut@@ Boonen, A. @@aut@@
publishDateDaySort_date	2018-06-12T00:00:00Z
hierarchy_top_id	27159909X
dewey-sort	3610
id	SPR008528438
language_de	englisch
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author	Putrik, P.
spellingShingle	Putrik, P. ddc 610 bkl 44.00 bkl 44.83 misc Chronic diseases misc Musculoskeletal diseases misc RMDs misc Socio-economic gradients misc Socio-economic inequalities Socio-economic gradients in the presence of musculoskeletal and other chronic diseases: results from a cross-sectional study in the Netherlands
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topic_title	610 ASE 44.00 bkl 44.83 bkl Socio-economic gradients in the presence of musculoskeletal and other chronic diseases: results from a cross-sectional study in the Netherlands Chronic diseases (dpeaa)DE-He213 Musculoskeletal diseases (dpeaa)DE-He213 RMDs (dpeaa)DE-He213 Socio-economic gradients (dpeaa)DE-He213 Socio-economic inequalities (dpeaa)DE-He213
topic	ddc 610 bkl 44.00 bkl 44.83 misc Chronic diseases misc Musculoskeletal diseases misc RMDs misc Socio-economic gradients misc Socio-economic inequalities
topic_unstemmed	ddc 610 bkl 44.00 bkl 44.83 misc Chronic diseases misc Musculoskeletal diseases misc RMDs misc Socio-economic gradients misc Socio-economic inequalities
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title	Socio-economic gradients in the presence of musculoskeletal and other chronic diseases: results from a cross-sectional study in the Netherlands
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title_full	Socio-economic gradients in the presence of musculoskeletal and other chronic diseases: results from a cross-sectional study in the Netherlands
author_sort	Putrik, P.
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author_browse	Putrik, P. Ramiro, S. Chorus, A. M. Keszei, A. P. Boonen, A.
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title_sort	socio-economic gradients in the presence of musculoskeletal and other chronic diseases: results from a cross-sectional study in the netherlands
title_auth	Socio-economic gradients in the presence of musculoskeletal and other chronic diseases: results from a cross-sectional study in the Netherlands
abstract	Abstract Socio-economic gradients in occurrence of diseases have been reported for many chronic conditions. However, whether the magnitude of socio-economic gradients differs across diseases and the extent to which lifestyle mediates such relationships are not known. Cross-sectional data from The National Monitor on Musculoskeletal System was used. Respondents (> 18 years) completed a questionnaire including gender, education, social status, lifestyle, and physician-diagnosed diseases. Logistic regressions investigated the relationship between education and the major chronic diseases (musculoskeletal diseases (MSKD), diabetes, cardiovascular (CVD), cancer, mental, respiratory, any disease). Next, analyses were repeated in individuals with potential to have paid work (i.e., those < 65 having paid work, being unemployed, or receiving living allowance (minimum income)). The mediating role of smoking and BMI between education and occurrence of diseases was assessed by testing indirect effects. From 8904 individuals (mean age 54 years, 46% male), 4378 (49%) had at least one disease. Gradients in occurrence of disease by education were present for all diseases except cancer and mental disease, with the strongest gradient in diabetes (OR 2.0 [95%CI 1.4;2.8]). Unemployment and especially living on minimum income were associated with increased odds to have MSKD and mental and respiratory disease, after adjusting for education. Smoking and obesity mediated part of the relationship between education and disease, with obesity playing more pronounced role. Association between deprivation and occurrence of all major chronic diseases is of comparable magnitude, with education having most consistent contribution. Our results support the notion of the generic (i.e., non-disease specific) mechanisms underlying socio-economic gradients in health.
abstractGer	Abstract Socio-economic gradients in occurrence of diseases have been reported for many chronic conditions. However, whether the magnitude of socio-economic gradients differs across diseases and the extent to which lifestyle mediates such relationships are not known. Cross-sectional data from The National Monitor on Musculoskeletal System was used. Respondents (> 18 years) completed a questionnaire including gender, education, social status, lifestyle, and physician-diagnosed diseases. Logistic regressions investigated the relationship between education and the major chronic diseases (musculoskeletal diseases (MSKD), diabetes, cardiovascular (CVD), cancer, mental, respiratory, any disease). Next, analyses were repeated in individuals with potential to have paid work (i.e., those < 65 having paid work, being unemployed, or receiving living allowance (minimum income)). The mediating role of smoking and BMI between education and occurrence of diseases was assessed by testing indirect effects. From 8904 individuals (mean age 54 years, 46% male), 4378 (49%) had at least one disease. Gradients in occurrence of disease by education were present for all diseases except cancer and mental disease, with the strongest gradient in diabetes (OR 2.0 [95%CI 1.4;2.8]). Unemployment and especially living on minimum income were associated with increased odds to have MSKD and mental and respiratory disease, after adjusting for education. Smoking and obesity mediated part of the relationship between education and disease, with obesity playing more pronounced role. Association between deprivation and occurrence of all major chronic diseases is of comparable magnitude, with education having most consistent contribution. Our results support the notion of the generic (i.e., non-disease specific) mechanisms underlying socio-economic gradients in health.
abstract_unstemmed	Abstract Socio-economic gradients in occurrence of diseases have been reported for many chronic conditions. However, whether the magnitude of socio-economic gradients differs across diseases and the extent to which lifestyle mediates such relationships are not known. Cross-sectional data from The National Monitor on Musculoskeletal System was used. Respondents (> 18 years) completed a questionnaire including gender, education, social status, lifestyle, and physician-diagnosed diseases. Logistic regressions investigated the relationship between education and the major chronic diseases (musculoskeletal diseases (MSKD), diabetes, cardiovascular (CVD), cancer, mental, respiratory, any disease). Next, analyses were repeated in individuals with potential to have paid work (i.e., those < 65 having paid work, being unemployed, or receiving living allowance (minimum income)). The mediating role of smoking and BMI between education and occurrence of diseases was assessed by testing indirect effects. From 8904 individuals (mean age 54 years, 46% male), 4378 (49%) had at least one disease. Gradients in occurrence of disease by education were present for all diseases except cancer and mental disease, with the strongest gradient in diabetes (OR 2.0 [95%CI 1.4;2.8]). Unemployment and especially living on minimum income were associated with increased odds to have MSKD and mental and respiratory disease, after adjusting for education. Smoking and obesity mediated part of the relationship between education and disease, with obesity playing more pronounced role. Association between deprivation and occurrence of all major chronic diseases is of comparable magnitude, with education having most consistent contribution. Our results support the notion of the generic (i.e., non-disease specific) mechanisms underlying socio-economic gradients in health.
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container_issue	12
title_short	Socio-economic gradients in the presence of musculoskeletal and other chronic diseases: results from a cross-sectional study in the Netherlands
url	https://dx.doi.org/10.1007/s10067-018-4158-3
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author2	Ramiro, S. Chorus, A. M. Keszei, A. P. Boonen, A.
author2Str	Ramiro, S. Chorus, A. M. Keszei, A. P. Boonen, A.
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doi_str	10.1007/s10067-018-4158-3
up_date	2024-07-03T21:37:43.608Z
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Socio-economic gradients in the presence of musculoskeletal and other chronic diseases: results from a cross-sectional study in the Netherlands

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