Prevalence of common chronic disease and multimorbidity patterns in Guangdong province with three typical cultures: analysis of data from the Diverse Life-Course Cohort study
BackgroundVariations in the prevalence and pattern of multimorbidity might be attributable to lifestyle and environmental factors. This study was performed to determine the prevalence of common chronic diseases and to reveal multimorbidity patterns among adults in Guangdong province with Chaoshan, H...
Ausführliche Beschreibung
Autor*in: |
Yaoda Hu [verfasserIn] Huijing He [verfasserIn] Qiong Ou [verfasserIn] Jing Nai [verfasserIn] Li Pan [verfasserIn] Xingming Chen [verfasserIn] Ji Tu [verfasserIn] Xuejun Zeng [verfasserIn] Guo Pei [verfasserIn] Longlong Wang [verfasserIn] Binbin Lin [verfasserIn] Qihang Liu [verfasserIn] Guangliang Shan [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
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2023 |
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In: Frontiers in Public Health - Frontiers Media S.A., 2013, 11(2023) |
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Übergeordnetes Werk: |
volume:11 ; year:2023 |
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DOI / URN: |
10.3389/fpubh.2023.1163791 |
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Katalog-ID: |
DOAJ090140133 |
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520 | |a BackgroundVariations in the prevalence and pattern of multimorbidity might be attributable to lifestyle and environmental factors. This study was performed to determine the prevalence of common chronic diseases and to reveal multimorbidity patterns among adults in Guangdong province with Chaoshan, Hakka, and island cultures.MethodsWe used data collected at the baseline survey (April–May 2021) of the Diverse Life-Course Cohort study and included 5,655 participants aged ≥20 years. Multimorbidity was defined as the presence of two or more of the 14 chronic diseases collected by self-reports, physical examinations, and blood tests. Multimorbidity patterns were explored by association rule mining (ARM).ResultsOverall, 40.69% of participants had multimorbidity, and the prevalence among coastland (42.37%) and mountain residents (40.36%) was higher than that among island residents (37.97%). The prevalence of multimorbidity increased rapidly with higher age groups and showed an inflection point at 50 years, beyond which >50% of the middle-aged and older adults had multimorbidity. The proportion of people with two chronic diseases accounted for most cases of multimorbidity, and the strongest association was found between hyperuricemia and gout (lift of 3.26). The most prevalent multimorbidity pattern was dyslipidemia and hyperuricemia in the coastland areas and dyslipidemia combined with hypertension in the mountain and island areas. Furthermore, the most common triad combination consisted of cardiovascular diseases, gout, and hyperuricemia, which was verified in the mountain and coastal areas.ConclusionThese observations of multimorbidity patterns, including the most frequent multimorbidity and associations, will help healthcare providers develop healthcare plans that improve the effectiveness of multimorbidity management. | ||
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10.3389/fpubh.2023.1163791 doi (DE-627)DOAJ090140133 (DE-599)DOAJ9bac858dc0bb40a69116a67c39d34df0 DE-627 ger DE-627 rakwb eng RA1-1270 Yaoda Hu verfasserin aut Prevalence of common chronic disease and multimorbidity patterns in Guangdong province with three typical cultures: analysis of data from the Diverse Life-Course Cohort study 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier BackgroundVariations in the prevalence and pattern of multimorbidity might be attributable to lifestyle and environmental factors. This study was performed to determine the prevalence of common chronic diseases and to reveal multimorbidity patterns among adults in Guangdong province with Chaoshan, Hakka, and island cultures.MethodsWe used data collected at the baseline survey (April–May 2021) of the Diverse Life-Course Cohort study and included 5,655 participants aged ≥20 years. Multimorbidity was defined as the presence of two or more of the 14 chronic diseases collected by self-reports, physical examinations, and blood tests. Multimorbidity patterns were explored by association rule mining (ARM).ResultsOverall, 40.69% of participants had multimorbidity, and the prevalence among coastland (42.37%) and mountain residents (40.36%) was higher than that among island residents (37.97%). The prevalence of multimorbidity increased rapidly with higher age groups and showed an inflection point at 50 years, beyond which >50% of the middle-aged and older adults had multimorbidity. The proportion of people with two chronic diseases accounted for most cases of multimorbidity, and the strongest association was found between hyperuricemia and gout (lift of 3.26). The most prevalent multimorbidity pattern was dyslipidemia and hyperuricemia in the coastland areas and dyslipidemia combined with hypertension in the mountain and island areas. Furthermore, the most common triad combination consisted of cardiovascular diseases, gout, and hyperuricemia, which was verified in the mountain and coastal areas.ConclusionThese observations of multimorbidity patterns, including the most frequent multimorbidity and associations, will help healthcare providers develop healthcare plans that improve the effectiveness of multimorbidity management. prevalence multimorbidity pattern different kinds of culture aging Guangdong province Public aspects of medicine Huijing He verfasserin aut Qiong Ou verfasserin aut Jing Nai verfasserin aut Li Pan verfasserin aut Xingming Chen verfasserin aut Ji Tu verfasserin aut Xuejun Zeng verfasserin aut Guo Pei verfasserin aut Longlong Wang verfasserin aut Binbin Lin verfasserin aut Qihang Liu verfasserin aut Guangliang Shan verfasserin aut In Frontiers in Public Health Frontiers Media S.A., 2013 11(2023) (DE-627)742224589 (DE-600)2711781-9 22962565 nnns volume:11 year:2023 https://doi.org/10.3389/fpubh.2023.1163791 kostenfrei https://doaj.org/article/9bac858dc0bb40a69116a67c39d34df0 kostenfrei https://www.frontiersin.org/articles/10.3389/fpubh.2023.1163791/full kostenfrei https://doaj.org/toc/2296-2565 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_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2023 |
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10.3389/fpubh.2023.1163791 doi (DE-627)DOAJ090140133 (DE-599)DOAJ9bac858dc0bb40a69116a67c39d34df0 DE-627 ger DE-627 rakwb eng RA1-1270 Yaoda Hu verfasserin aut Prevalence of common chronic disease and multimorbidity patterns in Guangdong province with three typical cultures: analysis of data from the Diverse Life-Course Cohort study 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier BackgroundVariations in the prevalence and pattern of multimorbidity might be attributable to lifestyle and environmental factors. This study was performed to determine the prevalence of common chronic diseases and to reveal multimorbidity patterns among adults in Guangdong province with Chaoshan, Hakka, and island cultures.MethodsWe used data collected at the baseline survey (April–May 2021) of the Diverse Life-Course Cohort study and included 5,655 participants aged ≥20 years. Multimorbidity was defined as the presence of two or more of the 14 chronic diseases collected by self-reports, physical examinations, and blood tests. Multimorbidity patterns were explored by association rule mining (ARM).ResultsOverall, 40.69% of participants had multimorbidity, and the prevalence among coastland (42.37%) and mountain residents (40.36%) was higher than that among island residents (37.97%). The prevalence of multimorbidity increased rapidly with higher age groups and showed an inflection point at 50 years, beyond which >50% of the middle-aged and older adults had multimorbidity. The proportion of people with two chronic diseases accounted for most cases of multimorbidity, and the strongest association was found between hyperuricemia and gout (lift of 3.26). The most prevalent multimorbidity pattern was dyslipidemia and hyperuricemia in the coastland areas and dyslipidemia combined with hypertension in the mountain and island areas. Furthermore, the most common triad combination consisted of cardiovascular diseases, gout, and hyperuricemia, which was verified in the mountain and coastal areas.ConclusionThese observations of multimorbidity patterns, including the most frequent multimorbidity and associations, will help healthcare providers develop healthcare plans that improve the effectiveness of multimorbidity management. prevalence multimorbidity pattern different kinds of culture aging Guangdong province Public aspects of medicine Huijing He verfasserin aut Qiong Ou verfasserin aut Jing Nai verfasserin aut Li Pan verfasserin aut Xingming Chen verfasserin aut Ji Tu verfasserin aut Xuejun Zeng verfasserin aut Guo Pei verfasserin aut Longlong Wang verfasserin aut Binbin Lin verfasserin aut Qihang Liu verfasserin aut Guangliang Shan verfasserin aut In Frontiers in Public Health Frontiers Media S.A., 2013 11(2023) (DE-627)742224589 (DE-600)2711781-9 22962565 nnns volume:11 year:2023 https://doi.org/10.3389/fpubh.2023.1163791 kostenfrei https://doaj.org/article/9bac858dc0bb40a69116a67c39d34df0 kostenfrei https://www.frontiersin.org/articles/10.3389/fpubh.2023.1163791/full kostenfrei https://doaj.org/toc/2296-2565 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_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2023 |
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10.3389/fpubh.2023.1163791 doi (DE-627)DOAJ090140133 (DE-599)DOAJ9bac858dc0bb40a69116a67c39d34df0 DE-627 ger DE-627 rakwb eng RA1-1270 Yaoda Hu verfasserin aut Prevalence of common chronic disease and multimorbidity patterns in Guangdong province with three typical cultures: analysis of data from the Diverse Life-Course Cohort study 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier BackgroundVariations in the prevalence and pattern of multimorbidity might be attributable to lifestyle and environmental factors. This study was performed to determine the prevalence of common chronic diseases and to reveal multimorbidity patterns among adults in Guangdong province with Chaoshan, Hakka, and island cultures.MethodsWe used data collected at the baseline survey (April–May 2021) of the Diverse Life-Course Cohort study and included 5,655 participants aged ≥20 years. Multimorbidity was defined as the presence of two or more of the 14 chronic diseases collected by self-reports, physical examinations, and blood tests. Multimorbidity patterns were explored by association rule mining (ARM).ResultsOverall, 40.69% of participants had multimorbidity, and the prevalence among coastland (42.37%) and mountain residents (40.36%) was higher than that among island residents (37.97%). The prevalence of multimorbidity increased rapidly with higher age groups and showed an inflection point at 50 years, beyond which >50% of the middle-aged and older adults had multimorbidity. The proportion of people with two chronic diseases accounted for most cases of multimorbidity, and the strongest association was found between hyperuricemia and gout (lift of 3.26). The most prevalent multimorbidity pattern was dyslipidemia and hyperuricemia in the coastland areas and dyslipidemia combined with hypertension in the mountain and island areas. Furthermore, the most common triad combination consisted of cardiovascular diseases, gout, and hyperuricemia, which was verified in the mountain and coastal areas.ConclusionThese observations of multimorbidity patterns, including the most frequent multimorbidity and associations, will help healthcare providers develop healthcare plans that improve the effectiveness of multimorbidity management. prevalence multimorbidity pattern different kinds of culture aging Guangdong province Public aspects of medicine Huijing He verfasserin aut Qiong Ou verfasserin aut Jing Nai verfasserin aut Li Pan verfasserin aut Xingming Chen verfasserin aut Ji Tu verfasserin aut Xuejun Zeng verfasserin aut Guo Pei verfasserin aut Longlong Wang verfasserin aut Binbin Lin verfasserin aut Qihang Liu verfasserin aut Guangliang Shan verfasserin aut In Frontiers in Public Health Frontiers Media S.A., 2013 11(2023) (DE-627)742224589 (DE-600)2711781-9 22962565 nnns volume:11 year:2023 https://doi.org/10.3389/fpubh.2023.1163791 kostenfrei https://doaj.org/article/9bac858dc0bb40a69116a67c39d34df0 kostenfrei https://www.frontiersin.org/articles/10.3389/fpubh.2023.1163791/full kostenfrei https://doaj.org/toc/2296-2565 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_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2023 |
allfieldsGer |
10.3389/fpubh.2023.1163791 doi (DE-627)DOAJ090140133 (DE-599)DOAJ9bac858dc0bb40a69116a67c39d34df0 DE-627 ger DE-627 rakwb eng RA1-1270 Yaoda Hu verfasserin aut Prevalence of common chronic disease and multimorbidity patterns in Guangdong province with three typical cultures: analysis of data from the Diverse Life-Course Cohort study 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier BackgroundVariations in the prevalence and pattern of multimorbidity might be attributable to lifestyle and environmental factors. This study was performed to determine the prevalence of common chronic diseases and to reveal multimorbidity patterns among adults in Guangdong province with Chaoshan, Hakka, and island cultures.MethodsWe used data collected at the baseline survey (April–May 2021) of the Diverse Life-Course Cohort study and included 5,655 participants aged ≥20 years. Multimorbidity was defined as the presence of two or more of the 14 chronic diseases collected by self-reports, physical examinations, and blood tests. Multimorbidity patterns were explored by association rule mining (ARM).ResultsOverall, 40.69% of participants had multimorbidity, and the prevalence among coastland (42.37%) and mountain residents (40.36%) was higher than that among island residents (37.97%). The prevalence of multimorbidity increased rapidly with higher age groups and showed an inflection point at 50 years, beyond which >50% of the middle-aged and older adults had multimorbidity. The proportion of people with two chronic diseases accounted for most cases of multimorbidity, and the strongest association was found between hyperuricemia and gout (lift of 3.26). The most prevalent multimorbidity pattern was dyslipidemia and hyperuricemia in the coastland areas and dyslipidemia combined with hypertension in the mountain and island areas. Furthermore, the most common triad combination consisted of cardiovascular diseases, gout, and hyperuricemia, which was verified in the mountain and coastal areas.ConclusionThese observations of multimorbidity patterns, including the most frequent multimorbidity and associations, will help healthcare providers develop healthcare plans that improve the effectiveness of multimorbidity management. prevalence multimorbidity pattern different kinds of culture aging Guangdong province Public aspects of medicine Huijing He verfasserin aut Qiong Ou verfasserin aut Jing Nai verfasserin aut Li Pan verfasserin aut Xingming Chen verfasserin aut Ji Tu verfasserin aut Xuejun Zeng verfasserin aut Guo Pei verfasserin aut Longlong Wang verfasserin aut Binbin Lin verfasserin aut Qihang Liu verfasserin aut Guangliang Shan verfasserin aut In Frontiers in Public Health Frontiers Media S.A., 2013 11(2023) (DE-627)742224589 (DE-600)2711781-9 22962565 nnns volume:11 year:2023 https://doi.org/10.3389/fpubh.2023.1163791 kostenfrei https://doaj.org/article/9bac858dc0bb40a69116a67c39d34df0 kostenfrei https://www.frontiersin.org/articles/10.3389/fpubh.2023.1163791/full kostenfrei https://doaj.org/toc/2296-2565 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_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2023 |
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10.3389/fpubh.2023.1163791 doi (DE-627)DOAJ090140133 (DE-599)DOAJ9bac858dc0bb40a69116a67c39d34df0 DE-627 ger DE-627 rakwb eng RA1-1270 Yaoda Hu verfasserin aut Prevalence of common chronic disease and multimorbidity patterns in Guangdong province with three typical cultures: analysis of data from the Diverse Life-Course Cohort study 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier BackgroundVariations in the prevalence and pattern of multimorbidity might be attributable to lifestyle and environmental factors. This study was performed to determine the prevalence of common chronic diseases and to reveal multimorbidity patterns among adults in Guangdong province with Chaoshan, Hakka, and island cultures.MethodsWe used data collected at the baseline survey (April–May 2021) of the Diverse Life-Course Cohort study and included 5,655 participants aged ≥20 years. Multimorbidity was defined as the presence of two or more of the 14 chronic diseases collected by self-reports, physical examinations, and blood tests. Multimorbidity patterns were explored by association rule mining (ARM).ResultsOverall, 40.69% of participants had multimorbidity, and the prevalence among coastland (42.37%) and mountain residents (40.36%) was higher than that among island residents (37.97%). The prevalence of multimorbidity increased rapidly with higher age groups and showed an inflection point at 50 years, beyond which >50% of the middle-aged and older adults had multimorbidity. The proportion of people with two chronic diseases accounted for most cases of multimorbidity, and the strongest association was found between hyperuricemia and gout (lift of 3.26). The most prevalent multimorbidity pattern was dyslipidemia and hyperuricemia in the coastland areas and dyslipidemia combined with hypertension in the mountain and island areas. Furthermore, the most common triad combination consisted of cardiovascular diseases, gout, and hyperuricemia, which was verified in the mountain and coastal areas.ConclusionThese observations of multimorbidity patterns, including the most frequent multimorbidity and associations, will help healthcare providers develop healthcare plans that improve the effectiveness of multimorbidity management. prevalence multimorbidity pattern different kinds of culture aging Guangdong province Public aspects of medicine Huijing He verfasserin aut Qiong Ou verfasserin aut Jing Nai verfasserin aut Li Pan verfasserin aut Xingming Chen verfasserin aut Ji Tu verfasserin aut Xuejun Zeng verfasserin aut Guo Pei verfasserin aut Longlong Wang verfasserin aut Binbin Lin verfasserin aut Qihang Liu verfasserin aut Guangliang Shan verfasserin aut In Frontiers in Public Health Frontiers Media S.A., 2013 11(2023) (DE-627)742224589 (DE-600)2711781-9 22962565 nnns volume:11 year:2023 https://doi.org/10.3389/fpubh.2023.1163791 kostenfrei https://doaj.org/article/9bac858dc0bb40a69116a67c39d34df0 kostenfrei https://www.frontiersin.org/articles/10.3389/fpubh.2023.1163791/full kostenfrei https://doaj.org/toc/2296-2565 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_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 11 2023 |
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Prevalence of common chronic disease and multimorbidity patterns in Guangdong province with three typical cultures: analysis of data from the Diverse Life-Course Cohort study |
abstract |
BackgroundVariations in the prevalence and pattern of multimorbidity might be attributable to lifestyle and environmental factors. This study was performed to determine the prevalence of common chronic diseases and to reveal multimorbidity patterns among adults in Guangdong province with Chaoshan, Hakka, and island cultures.MethodsWe used data collected at the baseline survey (April–May 2021) of the Diverse Life-Course Cohort study and included 5,655 participants aged ≥20 years. Multimorbidity was defined as the presence of two or more of the 14 chronic diseases collected by self-reports, physical examinations, and blood tests. Multimorbidity patterns were explored by association rule mining (ARM).ResultsOverall, 40.69% of participants had multimorbidity, and the prevalence among coastland (42.37%) and mountain residents (40.36%) was higher than that among island residents (37.97%). The prevalence of multimorbidity increased rapidly with higher age groups and showed an inflection point at 50 years, beyond which >50% of the middle-aged and older adults had multimorbidity. The proportion of people with two chronic diseases accounted for most cases of multimorbidity, and the strongest association was found between hyperuricemia and gout (lift of 3.26). The most prevalent multimorbidity pattern was dyslipidemia and hyperuricemia in the coastland areas and dyslipidemia combined with hypertension in the mountain and island areas. Furthermore, the most common triad combination consisted of cardiovascular diseases, gout, and hyperuricemia, which was verified in the mountain and coastal areas.ConclusionThese observations of multimorbidity patterns, including the most frequent multimorbidity and associations, will help healthcare providers develop healthcare plans that improve the effectiveness of multimorbidity management. |
abstractGer |
BackgroundVariations in the prevalence and pattern of multimorbidity might be attributable to lifestyle and environmental factors. This study was performed to determine the prevalence of common chronic diseases and to reveal multimorbidity patterns among adults in Guangdong province with Chaoshan, Hakka, and island cultures.MethodsWe used data collected at the baseline survey (April–May 2021) of the Diverse Life-Course Cohort study and included 5,655 participants aged ≥20 years. Multimorbidity was defined as the presence of two or more of the 14 chronic diseases collected by self-reports, physical examinations, and blood tests. Multimorbidity patterns were explored by association rule mining (ARM).ResultsOverall, 40.69% of participants had multimorbidity, and the prevalence among coastland (42.37%) and mountain residents (40.36%) was higher than that among island residents (37.97%). The prevalence of multimorbidity increased rapidly with higher age groups and showed an inflection point at 50 years, beyond which >50% of the middle-aged and older adults had multimorbidity. The proportion of people with two chronic diseases accounted for most cases of multimorbidity, and the strongest association was found between hyperuricemia and gout (lift of 3.26). The most prevalent multimorbidity pattern was dyslipidemia and hyperuricemia in the coastland areas and dyslipidemia combined with hypertension in the mountain and island areas. Furthermore, the most common triad combination consisted of cardiovascular diseases, gout, and hyperuricemia, which was verified in the mountain and coastal areas.ConclusionThese observations of multimorbidity patterns, including the most frequent multimorbidity and associations, will help healthcare providers develop healthcare plans that improve the effectiveness of multimorbidity management. |
abstract_unstemmed |
BackgroundVariations in the prevalence and pattern of multimorbidity might be attributable to lifestyle and environmental factors. This study was performed to determine the prevalence of common chronic diseases and to reveal multimorbidity patterns among adults in Guangdong province with Chaoshan, Hakka, and island cultures.MethodsWe used data collected at the baseline survey (April–May 2021) of the Diverse Life-Course Cohort study and included 5,655 participants aged ≥20 years. Multimorbidity was defined as the presence of two or more of the 14 chronic diseases collected by self-reports, physical examinations, and blood tests. Multimorbidity patterns were explored by association rule mining (ARM).ResultsOverall, 40.69% of participants had multimorbidity, and the prevalence among coastland (42.37%) and mountain residents (40.36%) was higher than that among island residents (37.97%). The prevalence of multimorbidity increased rapidly with higher age groups and showed an inflection point at 50 years, beyond which >50% of the middle-aged and older adults had multimorbidity. The proportion of people with two chronic diseases accounted for most cases of multimorbidity, and the strongest association was found between hyperuricemia and gout (lift of 3.26). The most prevalent multimorbidity pattern was dyslipidemia and hyperuricemia in the coastland areas and dyslipidemia combined with hypertension in the mountain and island areas. Furthermore, the most common triad combination consisted of cardiovascular diseases, gout, and hyperuricemia, which was verified in the mountain and coastal areas.ConclusionThese observations of multimorbidity patterns, including the most frequent multimorbidity and associations, will help healthcare providers develop healthcare plans that improve the effectiveness of multimorbidity management. |
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title_short |
Prevalence of common chronic disease and multimorbidity patterns in Guangdong province with three typical cultures: analysis of data from the Diverse Life-Course Cohort study |
url |
https://doi.org/10.3389/fpubh.2023.1163791 https://doaj.org/article/9bac858dc0bb40a69116a67c39d34df0 https://www.frontiersin.org/articles/10.3389/fpubh.2023.1163791/full https://doaj.org/toc/2296-2565 |
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Huijing He Qiong Ou Jing Nai Li Pan Xingming Chen Ji Tu Xuejun Zeng Guo Pei Longlong Wang Binbin Lin Qihang Liu Guangliang Shan |
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Huijing He Qiong Ou Jing Nai Li Pan Xingming Chen Ji Tu Xuejun Zeng Guo Pei Longlong Wang Binbin Lin Qihang Liu Guangliang Shan |
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