Early age of onset of mood, anxiety and alcohol use disorders is associated with sociodemographic characteristics and health outcomes in adults: results from a cross-sectional national survey
Purpose This cross-sectional study investigated distribution, sociodemographic correlates, and health outcomes in early versus late age of onset (AOO) of mood, anxiety, and alcohol use disorders in Singapore. Methods The Composite International Diagnostic Interview established lifetime diagnoses of...
Ausführliche Beschreibung
Autor*in: |
Vaingankar, Janhavi Ajit [verfasserIn] Chong, Siow Ann [verfasserIn] Abdin, Edimansyah [verfasserIn] Shafie, Saleha [verfasserIn] Chua, Boon Yiang [verfasserIn] Shahwan, Shazana [verfasserIn] Verma, Swapna [verfasserIn] Subramaniam, Mythily [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2021 |
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Schlagwörter: |
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Anmerkung: |
© Springer-Verlag GmbH Germany, part of Springer Nature 2021 |
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Übergeordnetes Werk: |
Enthalten in: Social psychiatry and psychiatric epidemiology - Darmstadt : Steinkopff, 1966, 56(2021), 10 vom: 31. März, Seite 1835-1846 |
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Übergeordnetes Werk: |
volume:56 ; year:2021 ; number:10 ; day:31 ; month:03 ; pages:1835-1846 |
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DOI / URN: |
10.1007/s00127-021-02070-4 |
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Katalog-ID: |
SPR045029598 |
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520 | |a Purpose This cross-sectional study investigated distribution, sociodemographic correlates, and health outcomes in early versus late age of onset (AOO) of mood, anxiety, and alcohol use disorders in Singapore. Methods The Composite International Diagnostic Interview established lifetime diagnoses of major depressive, bipolar, generalized anxiety, obsessive compulsive and alcohol use disorders in a representative sample of residents aged 18 years and over (n = 6126). The AOO of the individual and any mental disorders were classified into early and late onset using median values as cut-offs. Data included socio-demographic and health background, health utility score, and productivity losses. Multivariable logistic regression analysis was conducted to assess sociodemographic correlates of early versus late AOO of any mental disorder while linear regression analysis investigated the associations between AOO of individual disorders with health utility score and productivity loss. Results Respondents’ mean (SD) age was 45.6 (16.5) years, comprising 50.5% women and majority of Chinese ethnicity (75.8%). The median AOO for any of the five studied disorders was 21 years (IQR: 15–29). Lowest AOO was observed for obsessive compulsive disorder (Median: 14, IQR: 11–26). Those aged 35 years and over (versus 18–34) were less likely to have earlier AOO [35–49 years (OR: 0.287; 95% CI: 0.154–0.534); 50–64 years (OR:0.156; 95% CI: 0.068–0.361) and 65 and over (OR:0.112; 95% CI:0.027–0.461)], while Malay ethnicity (versus Chinese) (OR: 2.319; 95% CI: 1.384–3.885) and being never married (versus married) (OR: 2.731; 95% CI: 1.493–4.993) were more likely to have early AOO for any mental disorder. Sample with early (versus late) AOO had a lower health utility score (β = − 0.06,95% CI: − 0.08 to − 0.03) and higher number of days cut down on the type of work (β = 1.61,95% CI: 0.12–3.10) in those with any mental disorders. Conclusion This study showed that half of the adults with mood, anxiety or alcohol use disorders in Singapore experienced their illness onset by 21 years of age. Early AOO is associated with sociodemographic background and poor health outcomes. Prevention, early detection, and interventions to improve health outcomes in mental disorders should consider the sociodemographic profile and age at first onset of symptoms in the population. | ||
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10.1007/s00127-021-02070-4 doi (DE-627)SPR045029598 (SPR)s00127-021-02070-4-e DE-627 ger DE-627 rakwb eng 150 300 360 610 ASE 300 610 ASE 44.91 bkl 44.11 bkl Vaingankar, Janhavi Ajit verfasserin aut Early age of onset of mood, anxiety and alcohol use disorders is associated with sociodemographic characteristics and health outcomes in adults: results from a cross-sectional national survey 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2021 Purpose This cross-sectional study investigated distribution, sociodemographic correlates, and health outcomes in early versus late age of onset (AOO) of mood, anxiety, and alcohol use disorders in Singapore. Methods The Composite International Diagnostic Interview established lifetime diagnoses of major depressive, bipolar, generalized anxiety, obsessive compulsive and alcohol use disorders in a representative sample of residents aged 18 years and over (n = 6126). The AOO of the individual and any mental disorders were classified into early and late onset using median values as cut-offs. Data included socio-demographic and health background, health utility score, and productivity losses. Multivariable logistic regression analysis was conducted to assess sociodemographic correlates of early versus late AOO of any mental disorder while linear regression analysis investigated the associations between AOO of individual disorders with health utility score and productivity loss. Results Respondents’ mean (SD) age was 45.6 (16.5) years, comprising 50.5% women and majority of Chinese ethnicity (75.8%). The median AOO for any of the five studied disorders was 21 years (IQR: 15–29). Lowest AOO was observed for obsessive compulsive disorder (Median: 14, IQR: 11–26). Those aged 35 years and over (versus 18–34) were less likely to have earlier AOO [35–49 years (OR: 0.287; 95% CI: 0.154–0.534); 50–64 years (OR:0.156; 95% CI: 0.068–0.361) and 65 and over (OR:0.112; 95% CI:0.027–0.461)], while Malay ethnicity (versus Chinese) (OR: 2.319; 95% CI: 1.384–3.885) and being never married (versus married) (OR: 2.731; 95% CI: 1.493–4.993) were more likely to have early AOO for any mental disorder. Sample with early (versus late) AOO had a lower health utility score (β = − 0.06,95% CI: − 0.08 to − 0.03) and higher number of days cut down on the type of work (β = 1.61,95% CI: 0.12–3.10) in those with any mental disorders. Conclusion This study showed that half of the adults with mood, anxiety or alcohol use disorders in Singapore experienced their illness onset by 21 years of age. Early AOO is associated with sociodemographic background and poor health outcomes. Prevention, early detection, and interventions to improve health outcomes in mental disorders should consider the sociodemographic profile and age at first onset of symptoms in the population. Age at onset (dpeaa)DE-He213 Composite International Diagnostic Interview (dpeaa)DE-He213 Health utility (dpeaa)DE-He213 Productivity loss (dpeaa)DE-He213 Chong, Siow Ann verfasserin aut Abdin, Edimansyah verfasserin aut Shafie, Saleha verfasserin aut Chua, Boon Yiang verfasserin aut Shahwan, Shazana verfasserin aut Verma, Swapna verfasserin aut Subramaniam, Mythily verfasserin aut Enthalten in Social psychiatry and psychiatric epidemiology Darmstadt : Steinkopff, 1966 56(2021), 10 vom: 31. März, Seite 1835-1846 (DE-627)254909523 (DE-600)1463160-X 1433-9285 nnns volume:56 year:2021 number:10 day:31 month:03 pages:1835-1846 https://dx.doi.org/10.1007/s00127-021-02070-4 lizenzpflichtig 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_206 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.91 ASE 44.11 ASE AR 56 2021 10 31 03 1835-1846 |
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10.1007/s00127-021-02070-4 doi (DE-627)SPR045029598 (SPR)s00127-021-02070-4-e DE-627 ger DE-627 rakwb eng 150 300 360 610 ASE 300 610 ASE 44.91 bkl 44.11 bkl Vaingankar, Janhavi Ajit verfasserin aut Early age of onset of mood, anxiety and alcohol use disorders is associated with sociodemographic characteristics and health outcomes in adults: results from a cross-sectional national survey 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2021 Purpose This cross-sectional study investigated distribution, sociodemographic correlates, and health outcomes in early versus late age of onset (AOO) of mood, anxiety, and alcohol use disorders in Singapore. Methods The Composite International Diagnostic Interview established lifetime diagnoses of major depressive, bipolar, generalized anxiety, obsessive compulsive and alcohol use disorders in a representative sample of residents aged 18 years and over (n = 6126). The AOO of the individual and any mental disorders were classified into early and late onset using median values as cut-offs. Data included socio-demographic and health background, health utility score, and productivity losses. Multivariable logistic regression analysis was conducted to assess sociodemographic correlates of early versus late AOO of any mental disorder while linear regression analysis investigated the associations between AOO of individual disorders with health utility score and productivity loss. Results Respondents’ mean (SD) age was 45.6 (16.5) years, comprising 50.5% women and majority of Chinese ethnicity (75.8%). The median AOO for any of the five studied disorders was 21 years (IQR: 15–29). Lowest AOO was observed for obsessive compulsive disorder (Median: 14, IQR: 11–26). Those aged 35 years and over (versus 18–34) were less likely to have earlier AOO [35–49 years (OR: 0.287; 95% CI: 0.154–0.534); 50–64 years (OR:0.156; 95% CI: 0.068–0.361) and 65 and over (OR:0.112; 95% CI:0.027–0.461)], while Malay ethnicity (versus Chinese) (OR: 2.319; 95% CI: 1.384–3.885) and being never married (versus married) (OR: 2.731; 95% CI: 1.493–4.993) were more likely to have early AOO for any mental disorder. Sample with early (versus late) AOO had a lower health utility score (β = − 0.06,95% CI: − 0.08 to − 0.03) and higher number of days cut down on the type of work (β = 1.61,95% CI: 0.12–3.10) in those with any mental disorders. Conclusion This study showed that half of the adults with mood, anxiety or alcohol use disorders in Singapore experienced their illness onset by 21 years of age. Early AOO is associated with sociodemographic background and poor health outcomes. Prevention, early detection, and interventions to improve health outcomes in mental disorders should consider the sociodemographic profile and age at first onset of symptoms in the population. Age at onset (dpeaa)DE-He213 Composite International Diagnostic Interview (dpeaa)DE-He213 Health utility (dpeaa)DE-He213 Productivity loss (dpeaa)DE-He213 Chong, Siow Ann verfasserin aut Abdin, Edimansyah verfasserin aut Shafie, Saleha verfasserin aut Chua, Boon Yiang verfasserin aut Shahwan, Shazana verfasserin aut Verma, Swapna verfasserin aut Subramaniam, Mythily verfasserin aut Enthalten in Social psychiatry and psychiatric epidemiology Darmstadt : Steinkopff, 1966 56(2021), 10 vom: 31. März, Seite 1835-1846 (DE-627)254909523 (DE-600)1463160-X 1433-9285 nnns volume:56 year:2021 number:10 day:31 month:03 pages:1835-1846 https://dx.doi.org/10.1007/s00127-021-02070-4 lizenzpflichtig 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_206 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.91 ASE 44.11 ASE AR 56 2021 10 31 03 1835-1846 |
allfields_unstemmed |
10.1007/s00127-021-02070-4 doi (DE-627)SPR045029598 (SPR)s00127-021-02070-4-e DE-627 ger DE-627 rakwb eng 150 300 360 610 ASE 300 610 ASE 44.91 bkl 44.11 bkl Vaingankar, Janhavi Ajit verfasserin aut Early age of onset of mood, anxiety and alcohol use disorders is associated with sociodemographic characteristics and health outcomes in adults: results from a cross-sectional national survey 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2021 Purpose This cross-sectional study investigated distribution, sociodemographic correlates, and health outcomes in early versus late age of onset (AOO) of mood, anxiety, and alcohol use disorders in Singapore. Methods The Composite International Diagnostic Interview established lifetime diagnoses of major depressive, bipolar, generalized anxiety, obsessive compulsive and alcohol use disorders in a representative sample of residents aged 18 years and over (n = 6126). The AOO of the individual and any mental disorders were classified into early and late onset using median values as cut-offs. Data included socio-demographic and health background, health utility score, and productivity losses. Multivariable logistic regression analysis was conducted to assess sociodemographic correlates of early versus late AOO of any mental disorder while linear regression analysis investigated the associations between AOO of individual disorders with health utility score and productivity loss. Results Respondents’ mean (SD) age was 45.6 (16.5) years, comprising 50.5% women and majority of Chinese ethnicity (75.8%). The median AOO for any of the five studied disorders was 21 years (IQR: 15–29). Lowest AOO was observed for obsessive compulsive disorder (Median: 14, IQR: 11–26). Those aged 35 years and over (versus 18–34) were less likely to have earlier AOO [35–49 years (OR: 0.287; 95% CI: 0.154–0.534); 50–64 years (OR:0.156; 95% CI: 0.068–0.361) and 65 and over (OR:0.112; 95% CI:0.027–0.461)], while Malay ethnicity (versus Chinese) (OR: 2.319; 95% CI: 1.384–3.885) and being never married (versus married) (OR: 2.731; 95% CI: 1.493–4.993) were more likely to have early AOO for any mental disorder. Sample with early (versus late) AOO had a lower health utility score (β = − 0.06,95% CI: − 0.08 to − 0.03) and higher number of days cut down on the type of work (β = 1.61,95% CI: 0.12–3.10) in those with any mental disorders. Conclusion This study showed that half of the adults with mood, anxiety or alcohol use disorders in Singapore experienced their illness onset by 21 years of age. Early AOO is associated with sociodemographic background and poor health outcomes. Prevention, early detection, and interventions to improve health outcomes in mental disorders should consider the sociodemographic profile and age at first onset of symptoms in the population. Age at onset (dpeaa)DE-He213 Composite International Diagnostic Interview (dpeaa)DE-He213 Health utility (dpeaa)DE-He213 Productivity loss (dpeaa)DE-He213 Chong, Siow Ann verfasserin aut Abdin, Edimansyah verfasserin aut Shafie, Saleha verfasserin aut Chua, Boon Yiang verfasserin aut Shahwan, Shazana verfasserin aut Verma, Swapna verfasserin aut Subramaniam, Mythily verfasserin aut Enthalten in Social psychiatry and psychiatric epidemiology Darmstadt : Steinkopff, 1966 56(2021), 10 vom: 31. März, Seite 1835-1846 (DE-627)254909523 (DE-600)1463160-X 1433-9285 nnns volume:56 year:2021 number:10 day:31 month:03 pages:1835-1846 https://dx.doi.org/10.1007/s00127-021-02070-4 lizenzpflichtig 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_206 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.91 ASE 44.11 ASE AR 56 2021 10 31 03 1835-1846 |
allfieldsGer |
10.1007/s00127-021-02070-4 doi (DE-627)SPR045029598 (SPR)s00127-021-02070-4-e DE-627 ger DE-627 rakwb eng 150 300 360 610 ASE 300 610 ASE 44.91 bkl 44.11 bkl Vaingankar, Janhavi Ajit verfasserin aut Early age of onset of mood, anxiety and alcohol use disorders is associated with sociodemographic characteristics and health outcomes in adults: results from a cross-sectional national survey 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2021 Purpose This cross-sectional study investigated distribution, sociodemographic correlates, and health outcomes in early versus late age of onset (AOO) of mood, anxiety, and alcohol use disorders in Singapore. Methods The Composite International Diagnostic Interview established lifetime diagnoses of major depressive, bipolar, generalized anxiety, obsessive compulsive and alcohol use disorders in a representative sample of residents aged 18 years and over (n = 6126). The AOO of the individual and any mental disorders were classified into early and late onset using median values as cut-offs. Data included socio-demographic and health background, health utility score, and productivity losses. Multivariable logistic regression analysis was conducted to assess sociodemographic correlates of early versus late AOO of any mental disorder while linear regression analysis investigated the associations between AOO of individual disorders with health utility score and productivity loss. Results Respondents’ mean (SD) age was 45.6 (16.5) years, comprising 50.5% women and majority of Chinese ethnicity (75.8%). The median AOO for any of the five studied disorders was 21 years (IQR: 15–29). Lowest AOO was observed for obsessive compulsive disorder (Median: 14, IQR: 11–26). Those aged 35 years and over (versus 18–34) were less likely to have earlier AOO [35–49 years (OR: 0.287; 95% CI: 0.154–0.534); 50–64 years (OR:0.156; 95% CI: 0.068–0.361) and 65 and over (OR:0.112; 95% CI:0.027–0.461)], while Malay ethnicity (versus Chinese) (OR: 2.319; 95% CI: 1.384–3.885) and being never married (versus married) (OR: 2.731; 95% CI: 1.493–4.993) were more likely to have early AOO for any mental disorder. Sample with early (versus late) AOO had a lower health utility score (β = − 0.06,95% CI: − 0.08 to − 0.03) and higher number of days cut down on the type of work (β = 1.61,95% CI: 0.12–3.10) in those with any mental disorders. Conclusion This study showed that half of the adults with mood, anxiety or alcohol use disorders in Singapore experienced their illness onset by 21 years of age. Early AOO is associated with sociodemographic background and poor health outcomes. Prevention, early detection, and interventions to improve health outcomes in mental disorders should consider the sociodemographic profile and age at first onset of symptoms in the population. Age at onset (dpeaa)DE-He213 Composite International Diagnostic Interview (dpeaa)DE-He213 Health utility (dpeaa)DE-He213 Productivity loss (dpeaa)DE-He213 Chong, Siow Ann verfasserin aut Abdin, Edimansyah verfasserin aut Shafie, Saleha verfasserin aut Chua, Boon Yiang verfasserin aut Shahwan, Shazana verfasserin aut Verma, Swapna verfasserin aut Subramaniam, Mythily verfasserin aut Enthalten in Social psychiatry and psychiatric epidemiology Darmstadt : Steinkopff, 1966 56(2021), 10 vom: 31. März, Seite 1835-1846 (DE-627)254909523 (DE-600)1463160-X 1433-9285 nnns volume:56 year:2021 number:10 day:31 month:03 pages:1835-1846 https://dx.doi.org/10.1007/s00127-021-02070-4 lizenzpflichtig 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_206 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.91 ASE 44.11 ASE AR 56 2021 10 31 03 1835-1846 |
allfieldsSound |
10.1007/s00127-021-02070-4 doi (DE-627)SPR045029598 (SPR)s00127-021-02070-4-e DE-627 ger DE-627 rakwb eng 150 300 360 610 ASE 300 610 ASE 44.91 bkl 44.11 bkl Vaingankar, Janhavi Ajit verfasserin aut Early age of onset of mood, anxiety and alcohol use disorders is associated with sociodemographic characteristics and health outcomes in adults: results from a cross-sectional national survey 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag GmbH Germany, part of Springer Nature 2021 Purpose This cross-sectional study investigated distribution, sociodemographic correlates, and health outcomes in early versus late age of onset (AOO) of mood, anxiety, and alcohol use disorders in Singapore. Methods The Composite International Diagnostic Interview established lifetime diagnoses of major depressive, bipolar, generalized anxiety, obsessive compulsive and alcohol use disorders in a representative sample of residents aged 18 years and over (n = 6126). The AOO of the individual and any mental disorders were classified into early and late onset using median values as cut-offs. Data included socio-demographic and health background, health utility score, and productivity losses. Multivariable logistic regression analysis was conducted to assess sociodemographic correlates of early versus late AOO of any mental disorder while linear regression analysis investigated the associations between AOO of individual disorders with health utility score and productivity loss. Results Respondents’ mean (SD) age was 45.6 (16.5) years, comprising 50.5% women and majority of Chinese ethnicity (75.8%). The median AOO for any of the five studied disorders was 21 years (IQR: 15–29). Lowest AOO was observed for obsessive compulsive disorder (Median: 14, IQR: 11–26). Those aged 35 years and over (versus 18–34) were less likely to have earlier AOO [35–49 years (OR: 0.287; 95% CI: 0.154–0.534); 50–64 years (OR:0.156; 95% CI: 0.068–0.361) and 65 and over (OR:0.112; 95% CI:0.027–0.461)], while Malay ethnicity (versus Chinese) (OR: 2.319; 95% CI: 1.384–3.885) and being never married (versus married) (OR: 2.731; 95% CI: 1.493–4.993) were more likely to have early AOO for any mental disorder. Sample with early (versus late) AOO had a lower health utility score (β = − 0.06,95% CI: − 0.08 to − 0.03) and higher number of days cut down on the type of work (β = 1.61,95% CI: 0.12–3.10) in those with any mental disorders. Conclusion This study showed that half of the adults with mood, anxiety or alcohol use disorders in Singapore experienced their illness onset by 21 years of age. Early AOO is associated with sociodemographic background and poor health outcomes. Prevention, early detection, and interventions to improve health outcomes in mental disorders should consider the sociodemographic profile and age at first onset of symptoms in the population. Age at onset (dpeaa)DE-He213 Composite International Diagnostic Interview (dpeaa)DE-He213 Health utility (dpeaa)DE-He213 Productivity loss (dpeaa)DE-He213 Chong, Siow Ann verfasserin aut Abdin, Edimansyah verfasserin aut Shafie, Saleha verfasserin aut Chua, Boon Yiang verfasserin aut Shahwan, Shazana verfasserin aut Verma, Swapna verfasserin aut Subramaniam, Mythily verfasserin aut Enthalten in Social psychiatry and psychiatric epidemiology Darmstadt : Steinkopff, 1966 56(2021), 10 vom: 31. März, Seite 1835-1846 (DE-627)254909523 (DE-600)1463160-X 1433-9285 nnns volume:56 year:2021 number:10 day:31 month:03 pages:1835-1846 https://dx.doi.org/10.1007/s00127-021-02070-4 lizenzpflichtig 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_206 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_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 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_2118 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.91 ASE 44.11 ASE AR 56 2021 10 31 03 1835-1846 |
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Enthalten in Social psychiatry and psychiatric epidemiology 56(2021), 10 vom: 31. März, Seite 1835-1846 volume:56 year:2021 number:10 day:31 month:03 pages:1835-1846 |
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Vaingankar, Janhavi Ajit @@aut@@ Chong, Siow Ann @@aut@@ Abdin, Edimansyah @@aut@@ Shafie, Saleha @@aut@@ Chua, Boon Yiang @@aut@@ Shahwan, Shazana @@aut@@ Verma, Swapna @@aut@@ Subramaniam, Mythily @@aut@@ |
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Methods The Composite International Diagnostic Interview established lifetime diagnoses of major depressive, bipolar, generalized anxiety, obsessive compulsive and alcohol use disorders in a representative sample of residents aged 18 years and over (n = 6126). The AOO of the individual and any mental disorders were classified into early and late onset using median values as cut-offs. Data included socio-demographic and health background, health utility score, and productivity losses. Multivariable logistic regression analysis was conducted to assess sociodemographic correlates of early versus late AOO of any mental disorder while linear regression analysis investigated the associations between AOO of individual disorders with health utility score and productivity loss. Results Respondents’ mean (SD) age was 45.6 (16.5) years, comprising 50.5% women and majority of Chinese ethnicity (75.8%). The median AOO for any of the five studied disorders was 21 years (IQR: 15–29). Lowest AOO was observed for obsessive compulsive disorder (Median: 14, IQR: 11–26). Those aged 35 years and over (versus 18–34) were less likely to have earlier AOO [35–49 years (OR: 0.287; 95% CI: 0.154–0.534); 50–64 years (OR:0.156; 95% CI: 0.068–0.361) and 65 and over (OR:0.112; 95% CI:0.027–0.461)], while Malay ethnicity (versus Chinese) (OR: 2.319; 95% CI: 1.384–3.885) and being never married (versus married) (OR: 2.731; 95% CI: 1.493–4.993) were more likely to have early AOO for any mental disorder. Sample with early (versus late) AOO had a lower health utility score (β = − 0.06,95% CI: − 0.08 to − 0.03) and higher number of days cut down on the type of work (β = 1.61,95% CI: 0.12–3.10) in those with any mental disorders. Conclusion This study showed that half of the adults with mood, anxiety or alcohol use disorders in Singapore experienced their illness onset by 21 years of age. Early AOO is associated with sociodemographic background and poor health outcomes. 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|
author |
Vaingankar, Janhavi Ajit |
spellingShingle |
Vaingankar, Janhavi Ajit ddc 150 ddc 300 bkl 44.91 bkl 44.11 misc Age at onset misc Composite International Diagnostic Interview misc Health utility misc Productivity loss Early age of onset of mood, anxiety and alcohol use disorders is associated with sociodemographic characteristics and health outcomes in adults: results from a cross-sectional national survey |
authorStr |
Vaingankar, Janhavi Ajit |
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@@773@@(DE-627)254909523 |
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electronic Article |
dewey-ones |
150 - Psychology 300 - Social sciences 360 - Social problems & services; associations 610 - Medicine & health |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut aut aut aut |
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springer |
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true |
illustrated |
Not Illustrated |
issn |
1433-9285 |
topic_title |
150 300 360 610 ASE 300 610 ASE 44.91 bkl 44.11 bkl Early age of onset of mood, anxiety and alcohol use disorders is associated with sociodemographic characteristics and health outcomes in adults: results from a cross-sectional national survey Age at onset (dpeaa)DE-He213 Composite International Diagnostic Interview (dpeaa)DE-He213 Health utility (dpeaa)DE-He213 Productivity loss (dpeaa)DE-He213 |
topic |
ddc 150 ddc 300 bkl 44.91 bkl 44.11 misc Age at onset misc Composite International Diagnostic Interview misc Health utility misc Productivity loss |
topic_unstemmed |
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Early age of onset of mood, anxiety and alcohol use disorders is associated with sociodemographic characteristics and health outcomes in adults: results from a cross-sectional national survey |
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Early age of onset of mood, anxiety and alcohol use disorders is associated with sociodemographic characteristics and health outcomes in adults: results from a cross-sectional national survey |
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Vaingankar, Janhavi Ajit Chong, Siow Ann Abdin, Edimansyah Shafie, Saleha Chua, Boon Yiang Shahwan, Shazana Verma, Swapna Subramaniam, Mythily |
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early age of onset of mood, anxiety and alcohol use disorders is associated with sociodemographic characteristics and health outcomes in adults: results from a cross-sectional national survey |
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Early age of onset of mood, anxiety and alcohol use disorders is associated with sociodemographic characteristics and health outcomes in adults: results from a cross-sectional national survey |
abstract |
Purpose This cross-sectional study investigated distribution, sociodemographic correlates, and health outcomes in early versus late age of onset (AOO) of mood, anxiety, and alcohol use disorders in Singapore. Methods The Composite International Diagnostic Interview established lifetime diagnoses of major depressive, bipolar, generalized anxiety, obsessive compulsive and alcohol use disorders in a representative sample of residents aged 18 years and over (n = 6126). The AOO of the individual and any mental disorders were classified into early and late onset using median values as cut-offs. Data included socio-demographic and health background, health utility score, and productivity losses. Multivariable logistic regression analysis was conducted to assess sociodemographic correlates of early versus late AOO of any mental disorder while linear regression analysis investigated the associations between AOO of individual disorders with health utility score and productivity loss. Results Respondents’ mean (SD) age was 45.6 (16.5) years, comprising 50.5% women and majority of Chinese ethnicity (75.8%). The median AOO for any of the five studied disorders was 21 years (IQR: 15–29). Lowest AOO was observed for obsessive compulsive disorder (Median: 14, IQR: 11–26). Those aged 35 years and over (versus 18–34) were less likely to have earlier AOO [35–49 years (OR: 0.287; 95% CI: 0.154–0.534); 50–64 years (OR:0.156; 95% CI: 0.068–0.361) and 65 and over (OR:0.112; 95% CI:0.027–0.461)], while Malay ethnicity (versus Chinese) (OR: 2.319; 95% CI: 1.384–3.885) and being never married (versus married) (OR: 2.731; 95% CI: 1.493–4.993) were more likely to have early AOO for any mental disorder. Sample with early (versus late) AOO had a lower health utility score (β = − 0.06,95% CI: − 0.08 to − 0.03) and higher number of days cut down on the type of work (β = 1.61,95% CI: 0.12–3.10) in those with any mental disorders. Conclusion This study showed that half of the adults with mood, anxiety or alcohol use disorders in Singapore experienced their illness onset by 21 years of age. Early AOO is associated with sociodemographic background and poor health outcomes. Prevention, early detection, and interventions to improve health outcomes in mental disorders should consider the sociodemographic profile and age at first onset of symptoms in the population. © Springer-Verlag GmbH Germany, part of Springer Nature 2021 |
abstractGer |
Purpose This cross-sectional study investigated distribution, sociodemographic correlates, and health outcomes in early versus late age of onset (AOO) of mood, anxiety, and alcohol use disorders in Singapore. Methods The Composite International Diagnostic Interview established lifetime diagnoses of major depressive, bipolar, generalized anxiety, obsessive compulsive and alcohol use disorders in a representative sample of residents aged 18 years and over (n = 6126). The AOO of the individual and any mental disorders were classified into early and late onset using median values as cut-offs. Data included socio-demographic and health background, health utility score, and productivity losses. Multivariable logistic regression analysis was conducted to assess sociodemographic correlates of early versus late AOO of any mental disorder while linear regression analysis investigated the associations between AOO of individual disorders with health utility score and productivity loss. Results Respondents’ mean (SD) age was 45.6 (16.5) years, comprising 50.5% women and majority of Chinese ethnicity (75.8%). The median AOO for any of the five studied disorders was 21 years (IQR: 15–29). Lowest AOO was observed for obsessive compulsive disorder (Median: 14, IQR: 11–26). Those aged 35 years and over (versus 18–34) were less likely to have earlier AOO [35–49 years (OR: 0.287; 95% CI: 0.154–0.534); 50–64 years (OR:0.156; 95% CI: 0.068–0.361) and 65 and over (OR:0.112; 95% CI:0.027–0.461)], while Malay ethnicity (versus Chinese) (OR: 2.319; 95% CI: 1.384–3.885) and being never married (versus married) (OR: 2.731; 95% CI: 1.493–4.993) were more likely to have early AOO for any mental disorder. Sample with early (versus late) AOO had a lower health utility score (β = − 0.06,95% CI: − 0.08 to − 0.03) and higher number of days cut down on the type of work (β = 1.61,95% CI: 0.12–3.10) in those with any mental disorders. Conclusion This study showed that half of the adults with mood, anxiety or alcohol use disorders in Singapore experienced their illness onset by 21 years of age. Early AOO is associated with sociodemographic background and poor health outcomes. Prevention, early detection, and interventions to improve health outcomes in mental disorders should consider the sociodemographic profile and age at first onset of symptoms in the population. © Springer-Verlag GmbH Germany, part of Springer Nature 2021 |
abstract_unstemmed |
Purpose This cross-sectional study investigated distribution, sociodemographic correlates, and health outcomes in early versus late age of onset (AOO) of mood, anxiety, and alcohol use disorders in Singapore. Methods The Composite International Diagnostic Interview established lifetime diagnoses of major depressive, bipolar, generalized anxiety, obsessive compulsive and alcohol use disorders in a representative sample of residents aged 18 years and over (n = 6126). The AOO of the individual and any mental disorders were classified into early and late onset using median values as cut-offs. Data included socio-demographic and health background, health utility score, and productivity losses. Multivariable logistic regression analysis was conducted to assess sociodemographic correlates of early versus late AOO of any mental disorder while linear regression analysis investigated the associations between AOO of individual disorders with health utility score and productivity loss. Results Respondents’ mean (SD) age was 45.6 (16.5) years, comprising 50.5% women and majority of Chinese ethnicity (75.8%). The median AOO for any of the five studied disorders was 21 years (IQR: 15–29). Lowest AOO was observed for obsessive compulsive disorder (Median: 14, IQR: 11–26). Those aged 35 years and over (versus 18–34) were less likely to have earlier AOO [35–49 years (OR: 0.287; 95% CI: 0.154–0.534); 50–64 years (OR:0.156; 95% CI: 0.068–0.361) and 65 and over (OR:0.112; 95% CI:0.027–0.461)], while Malay ethnicity (versus Chinese) (OR: 2.319; 95% CI: 1.384–3.885) and being never married (versus married) (OR: 2.731; 95% CI: 1.493–4.993) were more likely to have early AOO for any mental disorder. Sample with early (versus late) AOO had a lower health utility score (β = − 0.06,95% CI: − 0.08 to − 0.03) and higher number of days cut down on the type of work (β = 1.61,95% CI: 0.12–3.10) in those with any mental disorders. Conclusion This study showed that half of the adults with mood, anxiety or alcohol use disorders in Singapore experienced their illness onset by 21 years of age. Early AOO is associated with sociodemographic background and poor health outcomes. Prevention, early detection, and interventions to improve health outcomes in mental disorders should consider the sociodemographic profile and age at first onset of symptoms in the population. © Springer-Verlag GmbH Germany, part of Springer Nature 2021 |
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|
score |
7.400633 |