Dimensions of depressive symptomatology in mothers derived from factor analyses
Purpose Subtypes of depression have been under studied in women during the peripartum period and the year after childbirth and delivery. Due to heterogeneity of depression, researchers have attempted to identify phenotypes of maternal and postpartum depression based on key symptoms that may represen...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Saldaña, Kathryn S. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Anmerkung: |
© This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 |
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| Übergeordnetes Werk: |
Enthalten in: Archives of gynecology and obstetrics - Berlin : Springer, 1870, 306(2021), 3 vom: 15. Nov., Seite 707-715 |
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| Übergeordnetes Werk: |
volume:306 ; year:2021 ; number:3 ; day:15 ; month:11 ; pages:707-715 |
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| DOI / URN: |
10.1007/s00404-021-06318-x |
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SPR047945613 |
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| 100 | 1 | |a Saldaña, Kathryn S. |e verfasserin |0 (orcid)0000-0001-8457-6581 |4 aut | |
| 245 | 1 | 0 | |a Dimensions of depressive symptomatology in mothers derived from factor analyses |
| 264 | 1 | |c 2021 | |
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| 520 | |a Purpose Subtypes of depression have been under studied in women during the peripartum period and the year after childbirth and delivery. Due to heterogeneity of depression, researchers have attempted to identify phenotypes of maternal and postpartum depression based on key symptoms that may represent underlying genes and biological etiology (Leuchter et al. Dialog Clinic Neurosci 16(4):525, 2014). Methods The current study collected self-report data from 587 women and utilized exploratory and confirmatory factor analyses (CFA) to identify subtypes of depression symptoms across two measures. Results Findings of the study showed that: (1) using the Beck Depression Inventory (BDI-II) and the Postpartum Depression Screening Scale (PDSS), a five-factor solution best fit the data in our sample of mothers with infants aged 4–14 months. The factors included: anxiety/thought disorder; cognitive depression; suicide; somatic/neurovegetative; and sleep [χ2 (454, N = 587) = 1102.61, p < 0.001, comparative fit index (CFI) = 0.93, Tucker Lewis index (TLI) = 0.92, root mean square error of approximation (RMSEA) = 0.05]; and (2) the following factors significantly positively predicted interview-based diagnosis of depression: cognitive symptoms of depression and sleep [χ2 (482, N = 587) = 1170.40, p < 0.001, TLI = 0.91, CFI = 0.93, RMSEA = 0.05]. Conclusions Future research could assess the clinical benefits of screening for maternal mood disorders. | ||
| 650 | 4 | |a Maternal depression |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Depressive subtypes |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Symptomatology |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Maternal mood disorders |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Peripartum mood disorders |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Shaffer, Jonathan A. |4 aut | |
| 700 | 1 | |a Everhart, Kevin D. |4 aut | |
| 700 | 1 | |a Kim, Susan L. |4 aut | |
| 700 | 1 | |a Kaplan, Peter S. |4 aut | |
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10.1007/s00404-021-06318-x doi (DE-627)SPR047945613 (SPR)s00404-021-06318-x-e DE-627 ger DE-627 rakwb eng Saldaña, Kathryn S. verfasserin (orcid)0000-0001-8457-6581 aut Dimensions of depressive symptomatology in mothers derived from factor analyses 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 Purpose Subtypes of depression have been under studied in women during the peripartum period and the year after childbirth and delivery. Due to heterogeneity of depression, researchers have attempted to identify phenotypes of maternal and postpartum depression based on key symptoms that may represent underlying genes and biological etiology (Leuchter et al. Dialog Clinic Neurosci 16(4):525, 2014). Methods The current study collected self-report data from 587 women and utilized exploratory and confirmatory factor analyses (CFA) to identify subtypes of depression symptoms across two measures. Results Findings of the study showed that: (1) using the Beck Depression Inventory (BDI-II) and the Postpartum Depression Screening Scale (PDSS), a five-factor solution best fit the data in our sample of mothers with infants aged 4–14 months. The factors included: anxiety/thought disorder; cognitive depression; suicide; somatic/neurovegetative; and sleep [χ2 (454, N = 587) = 1102.61, p < 0.001, comparative fit index (CFI) = 0.93, Tucker Lewis index (TLI) = 0.92, root mean square error of approximation (RMSEA) = 0.05]; and (2) the following factors significantly positively predicted interview-based diagnosis of depression: cognitive symptoms of depression and sleep [χ2 (482, N = 587) = 1170.40, p < 0.001, TLI = 0.91, CFI = 0.93, RMSEA = 0.05]. Conclusions Future research could assess the clinical benefits of screening for maternal mood disorders. Maternal depression (dpeaa)DE-He213 Depressive subtypes (dpeaa)DE-He213 Symptomatology (dpeaa)DE-He213 Maternal mood disorders (dpeaa)DE-He213 Peripartum mood disorders (dpeaa)DE-He213 Shaffer, Jonathan A. aut Everhart, Kevin D. aut Kim, Susan L. aut Kaplan, Peter S. aut Enthalten in Archives of gynecology and obstetrics Berlin : Springer, 1870 306(2021), 3 vom: 15. Nov., Seite 707-715 (DE-627)253390060 (DE-600)1458450-5 1432-0711 nnns volume:306 year:2021 number:3 day:15 month:11 pages:707-715 https://dx.doi.org/10.1007/s00404-021-06318-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 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_4277 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 AR 306 2021 3 15 11 707-715 |
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10.1007/s00404-021-06318-x doi (DE-627)SPR047945613 (SPR)s00404-021-06318-x-e DE-627 ger DE-627 rakwb eng Saldaña, Kathryn S. verfasserin (orcid)0000-0001-8457-6581 aut Dimensions of depressive symptomatology in mothers derived from factor analyses 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 Purpose Subtypes of depression have been under studied in women during the peripartum period and the year after childbirth and delivery. Due to heterogeneity of depression, researchers have attempted to identify phenotypes of maternal and postpartum depression based on key symptoms that may represent underlying genes and biological etiology (Leuchter et al. Dialog Clinic Neurosci 16(4):525, 2014). Methods The current study collected self-report data from 587 women and utilized exploratory and confirmatory factor analyses (CFA) to identify subtypes of depression symptoms across two measures. Results Findings of the study showed that: (1) using the Beck Depression Inventory (BDI-II) and the Postpartum Depression Screening Scale (PDSS), a five-factor solution best fit the data in our sample of mothers with infants aged 4–14 months. The factors included: anxiety/thought disorder; cognitive depression; suicide; somatic/neurovegetative; and sleep [χ2 (454, N = 587) = 1102.61, p < 0.001, comparative fit index (CFI) = 0.93, Tucker Lewis index (TLI) = 0.92, root mean square error of approximation (RMSEA) = 0.05]; and (2) the following factors significantly positively predicted interview-based diagnosis of depression: cognitive symptoms of depression and sleep [χ2 (482, N = 587) = 1170.40, p < 0.001, TLI = 0.91, CFI = 0.93, RMSEA = 0.05]. Conclusions Future research could assess the clinical benefits of screening for maternal mood disorders. Maternal depression (dpeaa)DE-He213 Depressive subtypes (dpeaa)DE-He213 Symptomatology (dpeaa)DE-He213 Maternal mood disorders (dpeaa)DE-He213 Peripartum mood disorders (dpeaa)DE-He213 Shaffer, Jonathan A. aut Everhart, Kevin D. aut Kim, Susan L. aut Kaplan, Peter S. aut Enthalten in Archives of gynecology and obstetrics Berlin : Springer, 1870 306(2021), 3 vom: 15. Nov., Seite 707-715 (DE-627)253390060 (DE-600)1458450-5 1432-0711 nnns volume:306 year:2021 number:3 day:15 month:11 pages:707-715 https://dx.doi.org/10.1007/s00404-021-06318-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 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_4277 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 AR 306 2021 3 15 11 707-715 |
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10.1007/s00404-021-06318-x doi (DE-627)SPR047945613 (SPR)s00404-021-06318-x-e DE-627 ger DE-627 rakwb eng Saldaña, Kathryn S. verfasserin (orcid)0000-0001-8457-6581 aut Dimensions of depressive symptomatology in mothers derived from factor analyses 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 Purpose Subtypes of depression have been under studied in women during the peripartum period and the year after childbirth and delivery. Due to heterogeneity of depression, researchers have attempted to identify phenotypes of maternal and postpartum depression based on key symptoms that may represent underlying genes and biological etiology (Leuchter et al. Dialog Clinic Neurosci 16(4):525, 2014). Methods The current study collected self-report data from 587 women and utilized exploratory and confirmatory factor analyses (CFA) to identify subtypes of depression symptoms across two measures. Results Findings of the study showed that: (1) using the Beck Depression Inventory (BDI-II) and the Postpartum Depression Screening Scale (PDSS), a five-factor solution best fit the data in our sample of mothers with infants aged 4–14 months. The factors included: anxiety/thought disorder; cognitive depression; suicide; somatic/neurovegetative; and sleep [χ2 (454, N = 587) = 1102.61, p < 0.001, comparative fit index (CFI) = 0.93, Tucker Lewis index (TLI) = 0.92, root mean square error of approximation (RMSEA) = 0.05]; and (2) the following factors significantly positively predicted interview-based diagnosis of depression: cognitive symptoms of depression and sleep [χ2 (482, N = 587) = 1170.40, p < 0.001, TLI = 0.91, CFI = 0.93, RMSEA = 0.05]. Conclusions Future research could assess the clinical benefits of screening for maternal mood disorders. Maternal depression (dpeaa)DE-He213 Depressive subtypes (dpeaa)DE-He213 Symptomatology (dpeaa)DE-He213 Maternal mood disorders (dpeaa)DE-He213 Peripartum mood disorders (dpeaa)DE-He213 Shaffer, Jonathan A. aut Everhart, Kevin D. aut Kim, Susan L. aut Kaplan, Peter S. aut Enthalten in Archives of gynecology and obstetrics Berlin : Springer, 1870 306(2021), 3 vom: 15. Nov., Seite 707-715 (DE-627)253390060 (DE-600)1458450-5 1432-0711 nnns volume:306 year:2021 number:3 day:15 month:11 pages:707-715 https://dx.doi.org/10.1007/s00404-021-06318-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 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_4277 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 AR 306 2021 3 15 11 707-715 |
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10.1007/s00404-021-06318-x doi (DE-627)SPR047945613 (SPR)s00404-021-06318-x-e DE-627 ger DE-627 rakwb eng Saldaña, Kathryn S. verfasserin (orcid)0000-0001-8457-6581 aut Dimensions of depressive symptomatology in mothers derived from factor analyses 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 Purpose Subtypes of depression have been under studied in women during the peripartum period and the year after childbirth and delivery. Due to heterogeneity of depression, researchers have attempted to identify phenotypes of maternal and postpartum depression based on key symptoms that may represent underlying genes and biological etiology (Leuchter et al. Dialog Clinic Neurosci 16(4):525, 2014). Methods The current study collected self-report data from 587 women and utilized exploratory and confirmatory factor analyses (CFA) to identify subtypes of depression symptoms across two measures. Results Findings of the study showed that: (1) using the Beck Depression Inventory (BDI-II) and the Postpartum Depression Screening Scale (PDSS), a five-factor solution best fit the data in our sample of mothers with infants aged 4–14 months. The factors included: anxiety/thought disorder; cognitive depression; suicide; somatic/neurovegetative; and sleep [χ2 (454, N = 587) = 1102.61, p < 0.001, comparative fit index (CFI) = 0.93, Tucker Lewis index (TLI) = 0.92, root mean square error of approximation (RMSEA) = 0.05]; and (2) the following factors significantly positively predicted interview-based diagnosis of depression: cognitive symptoms of depression and sleep [χ2 (482, N = 587) = 1170.40, p < 0.001, TLI = 0.91, CFI = 0.93, RMSEA = 0.05]. Conclusions Future research could assess the clinical benefits of screening for maternal mood disorders. Maternal depression (dpeaa)DE-He213 Depressive subtypes (dpeaa)DE-He213 Symptomatology (dpeaa)DE-He213 Maternal mood disorders (dpeaa)DE-He213 Peripartum mood disorders (dpeaa)DE-He213 Shaffer, Jonathan A. aut Everhart, Kevin D. aut Kim, Susan L. aut Kaplan, Peter S. aut Enthalten in Archives of gynecology and obstetrics Berlin : Springer, 1870 306(2021), 3 vom: 15. Nov., Seite 707-715 (DE-627)253390060 (DE-600)1458450-5 1432-0711 nnns volume:306 year:2021 number:3 day:15 month:11 pages:707-715 https://dx.doi.org/10.1007/s00404-021-06318-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 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_4277 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 AR 306 2021 3 15 11 707-715 |
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10.1007/s00404-021-06318-x doi (DE-627)SPR047945613 (SPR)s00404-021-06318-x-e DE-627 ger DE-627 rakwb eng Saldaña, Kathryn S. verfasserin (orcid)0000-0001-8457-6581 aut Dimensions of depressive symptomatology in mothers derived from factor analyses 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 Purpose Subtypes of depression have been under studied in women during the peripartum period and the year after childbirth and delivery. Due to heterogeneity of depression, researchers have attempted to identify phenotypes of maternal and postpartum depression based on key symptoms that may represent underlying genes and biological etiology (Leuchter et al. Dialog Clinic Neurosci 16(4):525, 2014). Methods The current study collected self-report data from 587 women and utilized exploratory and confirmatory factor analyses (CFA) to identify subtypes of depression symptoms across two measures. Results Findings of the study showed that: (1) using the Beck Depression Inventory (BDI-II) and the Postpartum Depression Screening Scale (PDSS), a five-factor solution best fit the data in our sample of mothers with infants aged 4–14 months. The factors included: anxiety/thought disorder; cognitive depression; suicide; somatic/neurovegetative; and sleep [χ2 (454, N = 587) = 1102.61, p < 0.001, comparative fit index (CFI) = 0.93, Tucker Lewis index (TLI) = 0.92, root mean square error of approximation (RMSEA) = 0.05]; and (2) the following factors significantly positively predicted interview-based diagnosis of depression: cognitive symptoms of depression and sleep [χ2 (482, N = 587) = 1170.40, p < 0.001, TLI = 0.91, CFI = 0.93, RMSEA = 0.05]. Conclusions Future research could assess the clinical benefits of screening for maternal mood disorders. Maternal depression (dpeaa)DE-He213 Depressive subtypes (dpeaa)DE-He213 Symptomatology (dpeaa)DE-He213 Maternal mood disorders (dpeaa)DE-He213 Peripartum mood disorders (dpeaa)DE-He213 Shaffer, Jonathan A. aut Everhart, Kevin D. aut Kim, Susan L. aut Kaplan, Peter S. aut Enthalten in Archives of gynecology and obstetrics Berlin : Springer, 1870 306(2021), 3 vom: 15. Nov., Seite 707-715 (DE-627)253390060 (DE-600)1458450-5 1432-0711 nnns volume:306 year:2021 number:3 day:15 month:11 pages:707-715 https://dx.doi.org/10.1007/s00404-021-06318-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 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_4277 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 AR 306 2021 3 15 11 707-715 |
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Enthalten in Archives of gynecology and obstetrics 306(2021), 3 vom: 15. Nov., Seite 707-715 volume:306 year:2021 number:3 day:15 month:11 pages:707-715 |
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Saldaña, Kathryn S. @@aut@@ Shaffer, Jonathan A. @@aut@@ Everhart, Kevin D. @@aut@@ Kim, Susan L. @@aut@@ Kaplan, Peter S. @@aut@@ |
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Due to heterogeneity of depression, researchers have attempted to identify phenotypes of maternal and postpartum depression based on key symptoms that may represent underlying genes and biological etiology (Leuchter et al. Dialog Clinic Neurosci 16(4):525, 2014). Methods The current study collected self-report data from 587 women and utilized exploratory and confirmatory factor analyses (CFA) to identify subtypes of depression symptoms across two measures. Results Findings of the study showed that: (1) using the Beck Depression Inventory (BDI-II) and the Postpartum Depression Screening Scale (PDSS), a five-factor solution best fit the data in our sample of mothers with infants aged 4–14 months. The factors included: anxiety/thought disorder; cognitive depression; suicide; somatic/neurovegetative; and sleep [χ2 (454, N = 587) = 1102.61, p < 0.001, comparative fit index (CFI) = 0.93, Tucker Lewis index (TLI) = 0.92, root mean square error of approximation (RMSEA) = 0.05]; and (2) the following factors significantly positively predicted interview-based diagnosis of depression: cognitive symptoms of depression and sleep [χ2 (482, N = 587) = 1170.40, p < 0.001, TLI = 0.91, CFI = 0.93, RMSEA = 0.05]. Conclusions Future research could assess the clinical benefits of screening for maternal mood disorders.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Maternal depression</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Depressive subtypes</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Symptomatology</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Maternal mood disorders</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Peripartum mood disorders</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Shaffer, Jonathan A.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Everhart, Kevin D.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kim, Susan L.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kaplan, Peter S.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Archives of gynecology and obstetrics</subfield><subfield code="d">Berlin : Springer, 1870</subfield><subfield code="g">306(2021), 3 vom: 15. 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Saldaña, Kathryn S. |
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Saldaña, Kathryn S. misc Maternal depression misc Depressive subtypes misc Symptomatology misc Maternal mood disorders misc Peripartum mood disorders Dimensions of depressive symptomatology in mothers derived from factor analyses |
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Dimensions of depressive symptomatology in mothers derived from factor analyses Maternal depression (dpeaa)DE-He213 Depressive subtypes (dpeaa)DE-He213 Symptomatology (dpeaa)DE-He213 Maternal mood disorders (dpeaa)DE-He213 Peripartum mood disorders (dpeaa)DE-He213 |
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misc Maternal depression misc Depressive subtypes misc Symptomatology misc Maternal mood disorders misc Peripartum mood disorders |
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misc Maternal depression misc Depressive subtypes misc Symptomatology misc Maternal mood disorders misc Peripartum mood disorders |
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Dimensions of depressive symptomatology in mothers derived from factor analyses |
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Dimensions of depressive symptomatology in mothers derived from factor analyses |
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Saldaña, Kathryn S. |
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Archives of gynecology and obstetrics |
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Saldaña, Kathryn S. Shaffer, Jonathan A. Everhart, Kevin D. Kim, Susan L. Kaplan, Peter S. |
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dimensions of depressive symptomatology in mothers derived from factor analyses |
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Dimensions of depressive symptomatology in mothers derived from factor analyses |
| abstract |
Purpose Subtypes of depression have been under studied in women during the peripartum period and the year after childbirth and delivery. Due to heterogeneity of depression, researchers have attempted to identify phenotypes of maternal and postpartum depression based on key symptoms that may represent underlying genes and biological etiology (Leuchter et al. Dialog Clinic Neurosci 16(4):525, 2014). Methods The current study collected self-report data from 587 women and utilized exploratory and confirmatory factor analyses (CFA) to identify subtypes of depression symptoms across two measures. Results Findings of the study showed that: (1) using the Beck Depression Inventory (BDI-II) and the Postpartum Depression Screening Scale (PDSS), a five-factor solution best fit the data in our sample of mothers with infants aged 4–14 months. The factors included: anxiety/thought disorder; cognitive depression; suicide; somatic/neurovegetative; and sleep [χ2 (454, N = 587) = 1102.61, p < 0.001, comparative fit index (CFI) = 0.93, Tucker Lewis index (TLI) = 0.92, root mean square error of approximation (RMSEA) = 0.05]; and (2) the following factors significantly positively predicted interview-based diagnosis of depression: cognitive symptoms of depression and sleep [χ2 (482, N = 587) = 1170.40, p < 0.001, TLI = 0.91, CFI = 0.93, RMSEA = 0.05]. Conclusions Future research could assess the clinical benefits of screening for maternal mood disorders. © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 |
| abstractGer |
Purpose Subtypes of depression have been under studied in women during the peripartum period and the year after childbirth and delivery. Due to heterogeneity of depression, researchers have attempted to identify phenotypes of maternal and postpartum depression based on key symptoms that may represent underlying genes and biological etiology (Leuchter et al. Dialog Clinic Neurosci 16(4):525, 2014). Methods The current study collected self-report data from 587 women and utilized exploratory and confirmatory factor analyses (CFA) to identify subtypes of depression symptoms across two measures. Results Findings of the study showed that: (1) using the Beck Depression Inventory (BDI-II) and the Postpartum Depression Screening Scale (PDSS), a five-factor solution best fit the data in our sample of mothers with infants aged 4–14 months. The factors included: anxiety/thought disorder; cognitive depression; suicide; somatic/neurovegetative; and sleep [χ2 (454, N = 587) = 1102.61, p < 0.001, comparative fit index (CFI) = 0.93, Tucker Lewis index (TLI) = 0.92, root mean square error of approximation (RMSEA) = 0.05]; and (2) the following factors significantly positively predicted interview-based diagnosis of depression: cognitive symptoms of depression and sleep [χ2 (482, N = 587) = 1170.40, p < 0.001, TLI = 0.91, CFI = 0.93, RMSEA = 0.05]. Conclusions Future research could assess the clinical benefits of screening for maternal mood disorders. © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 |
| abstract_unstemmed |
Purpose Subtypes of depression have been under studied in women during the peripartum period and the year after childbirth and delivery. Due to heterogeneity of depression, researchers have attempted to identify phenotypes of maternal and postpartum depression based on key symptoms that may represent underlying genes and biological etiology (Leuchter et al. Dialog Clinic Neurosci 16(4):525, 2014). Methods The current study collected self-report data from 587 women and utilized exploratory and confirmatory factor analyses (CFA) to identify subtypes of depression symptoms across two measures. Results Findings of the study showed that: (1) using the Beck Depression Inventory (BDI-II) and the Postpartum Depression Screening Scale (PDSS), a five-factor solution best fit the data in our sample of mothers with infants aged 4–14 months. The factors included: anxiety/thought disorder; cognitive depression; suicide; somatic/neurovegetative; and sleep [χ2 (454, N = 587) = 1102.61, p < 0.001, comparative fit index (CFI) = 0.93, Tucker Lewis index (TLI) = 0.92, root mean square error of approximation (RMSEA) = 0.05]; and (2) the following factors significantly positively predicted interview-based diagnosis of depression: cognitive symptoms of depression and sleep [χ2 (482, N = 587) = 1170.40, p < 0.001, TLI = 0.91, CFI = 0.93, RMSEA = 0.05]. Conclusions Future research could assess the clinical benefits of screening for maternal mood disorders. © This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 |
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| title_short |
Dimensions of depressive symptomatology in mothers derived from factor analyses |
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https://dx.doi.org/10.1007/s00404-021-06318-x |
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Shaffer, Jonathan A. Everhart, Kevin D. Kim, Susan L. Kaplan, Peter S. |
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2024-07-03T16:02:11.551Z |
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| score |
7.400943 |