Effects of adverse childhood experiences on the Charlson comorbidity index in US adults

Objectives: The aim of this article was to explore the association between adverse childhood experiences (ACEs) and the Charlson comorbidity index (CCI) and to provide valuable information for public health professionals and policymakers to improve quality of life and reduce mortality.Study design:...
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Autor*in:	Wang, Y. [verfasserIn] Sun, M. [verfasserIn] Yao, N. [verfasserIn] Guo, R. [verfasserIn] Liu, Y. [verfasserIn] Wang, X. [verfasserIn] Li, J. [verfasserIn] Xie, Z. [verfasserIn] Yang, Y. [verfasserIn] Li, X. [verfasserIn] Wang, S. [verfasserIn] Li, B. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Multimorbidity Charlson comorbidity index (CCI) Zero-inflated negative binomial (ZINB) Adverse childhood experiences (ACEs) Mixed graphical model (MGM)

Übergeordnetes Werk:	Enthalten in: Public health - [S.l.] : Elsevier, 1888, 222, Seite 134-139
Übergeordnetes Werk:	volume:222 ; pages:134-139

DOI / URN:	10.1016/j.puhe.2023.07.012

Katalog-ID:	ELV062050478

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245	1	0	\|a Effects of adverse childhood experiences on the Charlson comorbidity index in US adults
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520			\|a Objectives: The aim of this article was to explore the association between adverse childhood experiences (ACEs) and the Charlson comorbidity index (CCI) and to provide valuable information for public health professionals and policymakers to improve quality of life and reduce mortality.Study design: A cross-sectional analysis was conducted using data pooled from the 2020 Behavioral Risk Factor Surveillance System (BRFSS).Methods: This study involved 102,393 US adult participants from the 2020 BRFSS. The zero-inflated negative binomial (ZINB) and mixed graphical model (MGM) models were used to explore the effect of ACEs on CCI and the interaction between ACEs.Results: In the count part of the model (CCI ≥0), sexual abuse had the strongest association with CCI (relative risk [RR] = 1.111, P < 0.001). In the logit part of the model (CCI = 0), the likelihood of having CCI equal to 0 decreased by 23.0% for household substance abuse, which was the highest percentage decrease for all ACEs. Compared to those with ACE scores equal to 0, individuals with ACE scores ≥4 have an expected CCI RR of 1.222, and the likelihood of having CCI equal to 0 decreased by 50.2%. Household substance abuse and incarceration history in the home had the strongest association among interactions of ACEs (0.85).Conclusions: Associations between ACEs and CCI were observed in this study, and these associations differed between genders. The findings of this study provide data to design strategies for disease prevention and improvement of quality of life.
650		4	\|a Multimorbidity
650		4	\|a Charlson comorbidity index (CCI)
650		4	\|a Zero-inflated negative binomial (ZINB)
650		4	\|a Adverse childhood experiences (ACEs)
650		4	\|a Mixed graphical model (MGM)
700	1		\|a Sun, M. \|e verfasserin \|4 aut
700	1		\|a Yao, N. \|e verfasserin \|4 aut
700	1		\|a Guo, R. \|e verfasserin \|4 aut
700	1		\|a Liu, Y. \|e verfasserin \|4 aut
700	1		\|a Wang, X. \|e verfasserin \|4 aut
700	1		\|a Li, J. \|e verfasserin \|4 aut
700	1		\|a Xie, Z. \|e verfasserin \|4 aut
700	1		\|a Yang, Y. \|e verfasserin \|4 aut
700	1		\|a Li, X. \|e verfasserin \|4 aut
700	1		\|a Wang, S. \|e verfasserin \|4 aut
700	1		\|a Li, B. \|e verfasserin \|0 (orcid)0000-0003-1455-9596 \|4 aut
773	0	8	\|i Enthalten in \|t Public health \|d [S.l.] : Elsevier, 1888 \|g 222, Seite 134-139 \|h Online-Ressource \|w (DE-627)320484777 \|w (DE-600)2010279-3 \|w (DE-576)264423828 \|x 1476-5616 \|7 nnns
773	1	8	\|g volume:222 \|g pages:134-139
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allfields	10.1016/j.puhe.2023.07.012 doi (DE-627)ELV062050478 (ELSEVIER)S0033-3506(23)00251-2 DE-627 ger DE-627 rda eng 610 VZ 44.10 bkl Wang, Y. verfasserin aut Effects of adverse childhood experiences on the Charlson comorbidity index in US adults 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives: The aim of this article was to explore the association between adverse childhood experiences (ACEs) and the Charlson comorbidity index (CCI) and to provide valuable information for public health professionals and policymakers to improve quality of life and reduce mortality.Study design: A cross-sectional analysis was conducted using data pooled from the 2020 Behavioral Risk Factor Surveillance System (BRFSS).Methods: This study involved 102,393 US adult participants from the 2020 BRFSS. The zero-inflated negative binomial (ZINB) and mixed graphical model (MGM) models were used to explore the effect of ACEs on CCI and the interaction between ACEs.Results: In the count part of the model (CCI ≥0), sexual abuse had the strongest association with CCI (relative risk [RR] = 1.111, P < 0.001). In the logit part of the model (CCI = 0), the likelihood of having CCI equal to 0 decreased by 23.0% for household substance abuse, which was the highest percentage decrease for all ACEs. Compared to those with ACE scores equal to 0, individuals with ACE scores ≥4 have an expected CCI RR of 1.222, and the likelihood of having CCI equal to 0 decreased by 50.2%. Household substance abuse and incarceration history in the home had the strongest association among interactions of ACEs (0.85).Conclusions: Associations between ACEs and CCI were observed in this study, and these associations differed between genders. The findings of this study provide data to design strategies for disease prevention and improvement of quality of life. Multimorbidity Charlson comorbidity index (CCI) Zero-inflated negative binomial (ZINB) Adverse childhood experiences (ACEs) Mixed graphical model (MGM) Sun, M. verfasserin aut Yao, N. verfasserin aut Guo, R. verfasserin aut Liu, Y. verfasserin aut Wang, X. verfasserin aut Li, J. verfasserin aut Xie, Z. verfasserin aut Yang, Y. verfasserin aut Li, X. verfasserin aut Wang, S. verfasserin aut Li, B. verfasserin (orcid)0000-0003-1455-9596 aut Enthalten in Public health [S.l.] : Elsevier, 1888 222, Seite 134-139 Online-Ressource (DE-627)320484777 (DE-600)2010279-3 (DE-576)264423828 1476-5616 nnns volume:222 pages:134-139 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 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_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.10 Gesundheitswesen: Allgemeines VZ AR 222 134-139
spelling	10.1016/j.puhe.2023.07.012 doi (DE-627)ELV062050478 (ELSEVIER)S0033-3506(23)00251-2 DE-627 ger DE-627 rda eng 610 VZ 44.10 bkl Wang, Y. verfasserin aut Effects of adverse childhood experiences on the Charlson comorbidity index in US adults 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives: The aim of this article was to explore the association between adverse childhood experiences (ACEs) and the Charlson comorbidity index (CCI) and to provide valuable information for public health professionals and policymakers to improve quality of life and reduce mortality.Study design: A cross-sectional analysis was conducted using data pooled from the 2020 Behavioral Risk Factor Surveillance System (BRFSS).Methods: This study involved 102,393 US adult participants from the 2020 BRFSS. The zero-inflated negative binomial (ZINB) and mixed graphical model (MGM) models were used to explore the effect of ACEs on CCI and the interaction between ACEs.Results: In the count part of the model (CCI ≥0), sexual abuse had the strongest association with CCI (relative risk [RR] = 1.111, P < 0.001). In the logit part of the model (CCI = 0), the likelihood of having CCI equal to 0 decreased by 23.0% for household substance abuse, which was the highest percentage decrease for all ACEs. Compared to those with ACE scores equal to 0, individuals with ACE scores ≥4 have an expected CCI RR of 1.222, and the likelihood of having CCI equal to 0 decreased by 50.2%. Household substance abuse and incarceration history in the home had the strongest association among interactions of ACEs (0.85).Conclusions: Associations between ACEs and CCI were observed in this study, and these associations differed between genders. The findings of this study provide data to design strategies for disease prevention and improvement of quality of life. Multimorbidity Charlson comorbidity index (CCI) Zero-inflated negative binomial (ZINB) Adverse childhood experiences (ACEs) Mixed graphical model (MGM) Sun, M. verfasserin aut Yao, N. verfasserin aut Guo, R. verfasserin aut Liu, Y. verfasserin aut Wang, X. verfasserin aut Li, J. verfasserin aut Xie, Z. verfasserin aut Yang, Y. verfasserin aut Li, X. verfasserin aut Wang, S. verfasserin aut Li, B. verfasserin (orcid)0000-0003-1455-9596 aut Enthalten in Public health [S.l.] : Elsevier, 1888 222, Seite 134-139 Online-Ressource (DE-627)320484777 (DE-600)2010279-3 (DE-576)264423828 1476-5616 nnns volume:222 pages:134-139 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 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_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.10 Gesundheitswesen: Allgemeines VZ AR 222 134-139
allfields_unstemmed	10.1016/j.puhe.2023.07.012 doi (DE-627)ELV062050478 (ELSEVIER)S0033-3506(23)00251-2 DE-627 ger DE-627 rda eng 610 VZ 44.10 bkl Wang, Y. verfasserin aut Effects of adverse childhood experiences on the Charlson comorbidity index in US adults 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives: The aim of this article was to explore the association between adverse childhood experiences (ACEs) and the Charlson comorbidity index (CCI) and to provide valuable information for public health professionals and policymakers to improve quality of life and reduce mortality.Study design: A cross-sectional analysis was conducted using data pooled from the 2020 Behavioral Risk Factor Surveillance System (BRFSS).Methods: This study involved 102,393 US adult participants from the 2020 BRFSS. The zero-inflated negative binomial (ZINB) and mixed graphical model (MGM) models were used to explore the effect of ACEs on CCI and the interaction between ACEs.Results: In the count part of the model (CCI ≥0), sexual abuse had the strongest association with CCI (relative risk [RR] = 1.111, P < 0.001). In the logit part of the model (CCI = 0), the likelihood of having CCI equal to 0 decreased by 23.0% for household substance abuse, which was the highest percentage decrease for all ACEs. Compared to those with ACE scores equal to 0, individuals with ACE scores ≥4 have an expected CCI RR of 1.222, and the likelihood of having CCI equal to 0 decreased by 50.2%. Household substance abuse and incarceration history in the home had the strongest association among interactions of ACEs (0.85).Conclusions: Associations between ACEs and CCI were observed in this study, and these associations differed between genders. The findings of this study provide data to design strategies for disease prevention and improvement of quality of life. Multimorbidity Charlson comorbidity index (CCI) Zero-inflated negative binomial (ZINB) Adverse childhood experiences (ACEs) Mixed graphical model (MGM) Sun, M. verfasserin aut Yao, N. verfasserin aut Guo, R. verfasserin aut Liu, Y. verfasserin aut Wang, X. verfasserin aut Li, J. verfasserin aut Xie, Z. verfasserin aut Yang, Y. verfasserin aut Li, X. verfasserin aut Wang, S. verfasserin aut Li, B. verfasserin (orcid)0000-0003-1455-9596 aut Enthalten in Public health [S.l.] : Elsevier, 1888 222, Seite 134-139 Online-Ressource (DE-627)320484777 (DE-600)2010279-3 (DE-576)264423828 1476-5616 nnns volume:222 pages:134-139 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 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_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.10 Gesundheitswesen: Allgemeines VZ AR 222 134-139
allfieldsGer	10.1016/j.puhe.2023.07.012 doi (DE-627)ELV062050478 (ELSEVIER)S0033-3506(23)00251-2 DE-627 ger DE-627 rda eng 610 VZ 44.10 bkl Wang, Y. verfasserin aut Effects of adverse childhood experiences on the Charlson comorbidity index in US adults 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives: The aim of this article was to explore the association between adverse childhood experiences (ACEs) and the Charlson comorbidity index (CCI) and to provide valuable information for public health professionals and policymakers to improve quality of life and reduce mortality.Study design: A cross-sectional analysis was conducted using data pooled from the 2020 Behavioral Risk Factor Surveillance System (BRFSS).Methods: This study involved 102,393 US adult participants from the 2020 BRFSS. The zero-inflated negative binomial (ZINB) and mixed graphical model (MGM) models were used to explore the effect of ACEs on CCI and the interaction between ACEs.Results: In the count part of the model (CCI ≥0), sexual abuse had the strongest association with CCI (relative risk [RR] = 1.111, P < 0.001). In the logit part of the model (CCI = 0), the likelihood of having CCI equal to 0 decreased by 23.0% for household substance abuse, which was the highest percentage decrease for all ACEs. Compared to those with ACE scores equal to 0, individuals with ACE scores ≥4 have an expected CCI RR of 1.222, and the likelihood of having CCI equal to 0 decreased by 50.2%. Household substance abuse and incarceration history in the home had the strongest association among interactions of ACEs (0.85).Conclusions: Associations between ACEs and CCI were observed in this study, and these associations differed between genders. The findings of this study provide data to design strategies for disease prevention and improvement of quality of life. Multimorbidity Charlson comorbidity index (CCI) Zero-inflated negative binomial (ZINB) Adverse childhood experiences (ACEs) Mixed graphical model (MGM) Sun, M. verfasserin aut Yao, N. verfasserin aut Guo, R. verfasserin aut Liu, Y. verfasserin aut Wang, X. verfasserin aut Li, J. verfasserin aut Xie, Z. verfasserin aut Yang, Y. verfasserin aut Li, X. verfasserin aut Wang, S. verfasserin aut Li, B. verfasserin (orcid)0000-0003-1455-9596 aut Enthalten in Public health [S.l.] : Elsevier, 1888 222, Seite 134-139 Online-Ressource (DE-627)320484777 (DE-600)2010279-3 (DE-576)264423828 1476-5616 nnns volume:222 pages:134-139 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 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_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.10 Gesundheitswesen: Allgemeines VZ AR 222 134-139
allfieldsSound	10.1016/j.puhe.2023.07.012 doi (DE-627)ELV062050478 (ELSEVIER)S0033-3506(23)00251-2 DE-627 ger DE-627 rda eng 610 VZ 44.10 bkl Wang, Y. verfasserin aut Effects of adverse childhood experiences on the Charlson comorbidity index in US adults 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives: The aim of this article was to explore the association between adverse childhood experiences (ACEs) and the Charlson comorbidity index (CCI) and to provide valuable information for public health professionals and policymakers to improve quality of life and reduce mortality.Study design: A cross-sectional analysis was conducted using data pooled from the 2020 Behavioral Risk Factor Surveillance System (BRFSS).Methods: This study involved 102,393 US adult participants from the 2020 BRFSS. The zero-inflated negative binomial (ZINB) and mixed graphical model (MGM) models were used to explore the effect of ACEs on CCI and the interaction between ACEs.Results: In the count part of the model (CCI ≥0), sexual abuse had the strongest association with CCI (relative risk [RR] = 1.111, P < 0.001). In the logit part of the model (CCI = 0), the likelihood of having CCI equal to 0 decreased by 23.0% for household substance abuse, which was the highest percentage decrease for all ACEs. Compared to those with ACE scores equal to 0, individuals with ACE scores ≥4 have an expected CCI RR of 1.222, and the likelihood of having CCI equal to 0 decreased by 50.2%. Household substance abuse and incarceration history in the home had the strongest association among interactions of ACEs (0.85).Conclusions: Associations between ACEs and CCI were observed in this study, and these associations differed between genders. The findings of this study provide data to design strategies for disease prevention and improvement of quality of life. Multimorbidity Charlson comorbidity index (CCI) Zero-inflated negative binomial (ZINB) Adverse childhood experiences (ACEs) Mixed graphical model (MGM) Sun, M. verfasserin aut Yao, N. verfasserin aut Guo, R. verfasserin aut Liu, Y. verfasserin aut Wang, X. verfasserin aut Li, J. verfasserin aut Xie, Z. verfasserin aut Yang, Y. verfasserin aut Li, X. verfasserin aut Wang, S. verfasserin aut Li, B. verfasserin (orcid)0000-0003-1455-9596 aut Enthalten in Public health [S.l.] : Elsevier, 1888 222, Seite 134-139 Online-Ressource (DE-627)320484777 (DE-600)2010279-3 (DE-576)264423828 1476-5616 nnns volume:222 pages:134-139 GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_65 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_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2007 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.10 Gesundheitswesen: Allgemeines VZ AR 222 134-139
language	English
source	Enthalten in Public health 222, Seite 134-139 volume:222 pages:134-139
sourceStr	Enthalten in Public health 222, Seite 134-139 volume:222 pages:134-139
format_phy_str_mv	Article
bklname	Gesundheitswesen: Allgemeines
institution	findex.gbv.de
topic_facet	Multimorbidity Charlson comorbidity index (CCI) Zero-inflated negative binomial (ZINB) Adverse childhood experiences (ACEs) Mixed graphical model (MGM)
dewey-raw	610
isfreeaccess_bool	false
container_title	Public health
authorswithroles_txt_mv	Wang, Y. @@aut@@ Sun, M. @@aut@@ Yao, N. @@aut@@ Guo, R. @@aut@@ Liu, Y. @@aut@@ Wang, X. @@aut@@ Li, J. @@aut@@ Xie, Z. @@aut@@ Yang, Y. @@aut@@ Li, X. @@aut@@ Wang, S. @@aut@@ Li, B. @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
hierarchy_top_id	320484777
dewey-sort	3610
id	ELV062050478
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV062050478</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230927090339.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230823s2023 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.puhe.2023.07.012</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV062050478</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0033-3506(23)00251-2</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">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.10</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wang, Y.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Effects of adverse childhood experiences on the Charlson comorbidity index in US adults</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</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">Objectives: The aim of this article was to explore the association between adverse childhood experiences (ACEs) and the Charlson comorbidity index (CCI) and to provide valuable information for public health professionals and policymakers to improve quality of life and reduce mortality.Study design: A cross-sectional analysis was conducted using data pooled from the 2020 Behavioral Risk Factor Surveillance System (BRFSS).Methods: This study involved 102,393 US adult participants from the 2020 BRFSS. The zero-inflated negative binomial (ZINB) and mixed graphical model (MGM) models were used to explore the effect of ACEs on CCI and the interaction between ACEs.Results: In the count part of the model (CCI ≥0), sexual abuse had the strongest association with CCI (relative risk [RR] = 1.111, P < 0.001). In the logit part of the model (CCI = 0), the likelihood of having CCI equal to 0 decreased by 23.0% for household substance abuse, which was the highest percentage decrease for all ACEs. Compared to those with ACE scores equal to 0, individuals with ACE scores ≥4 have an expected CCI RR of 1.222, and the likelihood of having CCI equal to 0 decreased by 50.2%. Household substance abuse and incarceration history in the home had the strongest association among interactions of ACEs (0.85).Conclusions: Associations between ACEs and CCI were observed in this study, and these associations differed between genders. 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author	Wang, Y.
spellingShingle	Wang, Y. ddc 610 bkl 44.10 misc Multimorbidity misc Charlson comorbidity index (CCI) misc Zero-inflated negative binomial (ZINB) misc Adverse childhood experiences (ACEs) misc Mixed graphical model (MGM) Effects of adverse childhood experiences on the Charlson comorbidity index in US adults
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topic_title	610 VZ 44.10 bkl Effects of adverse childhood experiences on the Charlson comorbidity index in US adults Multimorbidity Charlson comorbidity index (CCI) Zero-inflated negative binomial (ZINB) Adverse childhood experiences (ACEs) Mixed graphical model (MGM)
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title	Effects of adverse childhood experiences on the Charlson comorbidity index in US adults
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title_full	Effects of adverse childhood experiences on the Charlson comorbidity index in US adults
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author_browse	Wang, Y. Sun, M. Yao, N. Guo, R. Liu, Y. Wang, X. Li, J. Xie, Z. Yang, Y. Li, X. Wang, S. Li, B.
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title_sort	effects of adverse childhood experiences on the charlson comorbidity index in us adults
title_auth	Effects of adverse childhood experiences on the Charlson comorbidity index in US adults
abstract	Objectives: The aim of this article was to explore the association between adverse childhood experiences (ACEs) and the Charlson comorbidity index (CCI) and to provide valuable information for public health professionals and policymakers to improve quality of life and reduce mortality.Study design: A cross-sectional analysis was conducted using data pooled from the 2020 Behavioral Risk Factor Surveillance System (BRFSS).Methods: This study involved 102,393 US adult participants from the 2020 BRFSS. The zero-inflated negative binomial (ZINB) and mixed graphical model (MGM) models were used to explore the effect of ACEs on CCI and the interaction between ACEs.Results: In the count part of the model (CCI ≥0), sexual abuse had the strongest association with CCI (relative risk [RR] = 1.111, P < 0.001). In the logit part of the model (CCI = 0), the likelihood of having CCI equal to 0 decreased by 23.0% for household substance abuse, which was the highest percentage decrease for all ACEs. Compared to those with ACE scores equal to 0, individuals with ACE scores ≥4 have an expected CCI RR of 1.222, and the likelihood of having CCI equal to 0 decreased by 50.2%. Household substance abuse and incarceration history in the home had the strongest association among interactions of ACEs (0.85).Conclusions: Associations between ACEs and CCI were observed in this study, and these associations differed between genders. The findings of this study provide data to design strategies for disease prevention and improvement of quality of life.
abstractGer	Objectives: The aim of this article was to explore the association between adverse childhood experiences (ACEs) and the Charlson comorbidity index (CCI) and to provide valuable information for public health professionals and policymakers to improve quality of life and reduce mortality.Study design: A cross-sectional analysis was conducted using data pooled from the 2020 Behavioral Risk Factor Surveillance System (BRFSS).Methods: This study involved 102,393 US adult participants from the 2020 BRFSS. The zero-inflated negative binomial (ZINB) and mixed graphical model (MGM) models were used to explore the effect of ACEs on CCI and the interaction between ACEs.Results: In the count part of the model (CCI ≥0), sexual abuse had the strongest association with CCI (relative risk [RR] = 1.111, P < 0.001). In the logit part of the model (CCI = 0), the likelihood of having CCI equal to 0 decreased by 23.0% for household substance abuse, which was the highest percentage decrease for all ACEs. Compared to those with ACE scores equal to 0, individuals with ACE scores ≥4 have an expected CCI RR of 1.222, and the likelihood of having CCI equal to 0 decreased by 50.2%. Household substance abuse and incarceration history in the home had the strongest association among interactions of ACEs (0.85).Conclusions: Associations between ACEs and CCI were observed in this study, and these associations differed between genders. The findings of this study provide data to design strategies for disease prevention and improvement of quality of life.
abstract_unstemmed	Objectives: The aim of this article was to explore the association between adverse childhood experiences (ACEs) and the Charlson comorbidity index (CCI) and to provide valuable information for public health professionals and policymakers to improve quality of life and reduce mortality.Study design: A cross-sectional analysis was conducted using data pooled from the 2020 Behavioral Risk Factor Surveillance System (BRFSS).Methods: This study involved 102,393 US adult participants from the 2020 BRFSS. The zero-inflated negative binomial (ZINB) and mixed graphical model (MGM) models were used to explore the effect of ACEs on CCI and the interaction between ACEs.Results: In the count part of the model (CCI ≥0), sexual abuse had the strongest association with CCI (relative risk [RR] = 1.111, P < 0.001). In the logit part of the model (CCI = 0), the likelihood of having CCI equal to 0 decreased by 23.0% for household substance abuse, which was the highest percentage decrease for all ACEs. Compared to those with ACE scores equal to 0, individuals with ACE scores ≥4 have an expected CCI RR of 1.222, and the likelihood of having CCI equal to 0 decreased by 50.2%. Household substance abuse and incarceration history in the home had the strongest association among interactions of ACEs (0.85).Conclusions: Associations between ACEs and CCI were observed in this study, and these associations differed between genders. The findings of this study provide data to design strategies for disease prevention and improvement of quality of life.
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title_short	Effects of adverse childhood experiences on the Charlson comorbidity index in US adults
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author2	Sun, M. Yao, N. Guo, R. Liu, Y. Wang, X. Li, J. Xie, Z. Yang, Y. Li, X. Wang, S. Li, B.
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doi_str	10.1016/j.puhe.2023.07.012
up_date	2024-07-06T18:21:10.891Z
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The zero-inflated negative binomial (ZINB) and mixed graphical model (MGM) models were used to explore the effect of ACEs on CCI and the interaction between ACEs.Results: In the count part of the model (CCI ≥0), sexual abuse had the strongest association with CCI (relative risk [RR] = 1.111, P < 0.001). In the logit part of the model (CCI = 0), the likelihood of having CCI equal to 0 decreased by 23.0% for household substance abuse, which was the highest percentage decrease for all ACEs. Compared to those with ACE scores equal to 0, individuals with ACE scores ≥4 have an expected CCI RR of 1.222, and the likelihood of having CCI equal to 0 decreased by 50.2%. Household substance abuse and incarceration history in the home had the strongest association among interactions of ACEs (0.85).Conclusions: Associations between ACEs and CCI were observed in this study, and these associations differed between genders. 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Effects of adverse childhood experiences on the Charlson comorbidity index in US adults

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