BMC Pregnancy and Childbirth | |
Measuring the risk factors for postpartum depression: development of the Japanese version of the Postpartum Depression Predictors Inventory-Revised (PDPI-R-J) | |
Kiyoko Kamibeppu1  Mari Ikeda1  | |
[1] Department of Family Nursing, Division of Health Science & Nursing, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo Bunkyo, Tokyo 1130033, Japan | |
关键词: Screening instrument; ROC analysis; Risk factors; Postpartum depression; Japanese; | |
Others : 1138038 DOI : 10.1186/1471-2393-13-112 |
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received in 2013-01-19, accepted in 2013-05-02, 发布年份 2013 | |
【 摘 要 】
Background
Postpartum depression (PPD) is a global phenomenon. Depression in the first month following delivery is experienced by 20% of mothers in Japan. Therefore, a screening instrument that identifies the risk for depression during pregnancy and in the early postpartum period is required for primary prevention. The aims of this study were to develop the Japanese version of the Postpartum Depression Predictors Inventory-Revised (PDPI-R-J) and determine its predictive validity during pregnancy and one month after delivery.
Methods
In order to develop the inventory, two bilingual translators translated the PDPI-R into Japanese. Then, back translation was done and a thorough discussion with the original developer was conducted in order to establish semantic equivalence. After the PDPI-R-J was developed, the study used a prospective cohort design. A total of 84 women in their eighth month of pregnancy participated in the study. Seventy-six mothers completed the PDPI-R-J at the first month after childbirth. Women were diagnosed using Mini-International Neuropsychiatric Interview (M.I.N.I.) to determine the presence of minor or major depression at the first month after childbirth and the receiver operating characteristic curve was plotted to evaluate the predictive capacity of PDPI-R-J.
Results
Of the 76 mothers who completed the PDPI-R-J during the first-month assessment, 16 mothers (21%) met the PPD criteria. The prenatal version of the PDPI-R-J administered during pregnancy accurately predicted 62.8% of PPD (95% CI 0.48–0.77) and the postpartum version administered at the first month after delivery predicted 82.0% of PPD (95% CI 0.71–0.93). The cutoffs identified were 5.5 for the prenatal version and 7.5 for the postpartum version. The PDPI-R-J postpartum version, which includes items relating to the infant, increased the predictive validity of PPD (0.67 to 0.82). Comments from the participants included that the use of the PDPI-R-J enhanced the chance to openly communicate about their history and risks for depression with the researchers, if any existed.
Conclusions
The PDPI-R-J was found to be a useful and valid screening tool for predicting PPD. Both the prenatal and postpartum versions should be continuously administered to mothers because delivery and infant-related factors affect the potential for PPD.
【 授权许可】
2013 Ikeda and Kamibeppu; licensee BioMed Central Ltd.
【 预 览 】
Files | Size | Format | View |
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20150318154505875.pdf | 452KB | download | |
Figure 2. | 66KB | Image | download |
Figure 1. | 62KB | Image | download |
【 图 表 】
Figure 1.
Figure 2.
【 参考文献 】
- [1]Gavin NI, Gaynes BN, Lohr KN, Meltzer-Brody S, Gartlehner G, Swinson T: Perinatal depression: a systematic review of prevalence and incidence. Obstet Gynecol 2005, 106(5 Pt 1):1071-1083.
- [2]Vesga-Lopez O, Blanco C, Keyes K, Olfson M, Grant BF, Hasin DS: Psychiatric disorders in pregnant and postpartum women in the United States. Arch Gen Psychiatry 2008, 65(7):805-815.
- [3]Yamashita H, Yoshida K, Nakano H, Tashiro N: Postnatal depression in Japanese women. Detecting the early onset of postnatal depression by closely monitoring the postpartum mood. J Affect Disord 2000, 58(2):145-154.
- [4]Beck CT: The lived experience of postpartum depression: a phenomenological study. Nurs Res 1992, 41(3):166-170.
- [5]Beck CT, Gable RK: Postpartum depression screening scale: development and psychometric testing. Nurs Res 2000, 49(5):272-282.
- [6]Records K, Rice M, Beck CT: Psychometric assessment of the postpartum depression predictors inventory-revised. J Nurs Meas 2007, 15(3):189-202.
- [7]Blackmore ER, Carroll J, Reid A, Biringer A, Glazier RH, Midmer D, Permaul JA, Stewart DE: The use of the antenatal psychosocial health assessment (ALPHA) tool in the detection of psychosocial risk factors for postpartum depression: a randomized controlled trial. J Obstet Gynaecol Can 2006, 28(10):873-878.
- [8]O'Hara MW, Schlechte JA, Lewis DA, Varner MW: Controlled prospective study of postpartum mood disorders: psychological, environmental, and hormonal variables. J Abnorm Psychol 1991, 100(1):63-73.
- [9]Braverman J, Roux J: Screening for the patient at risk for postpartum depression. Obstet Gynecol 1978, 52:731-736.
- [10]Petrick JM: Postpartum depression. Identification of high-risk mothers. JOGN Nurs 1984, 13(1):37-40.
- [11]Boyer D: Predictions of postpartum depression. Clinical Issues in Perinatal Women’s Health Nurisng 1990, 1:359-368.
- [12]Appleby L, Gregoire A, Platz C, Prince M, Kumar R: Screening women for high risk of postnatal depression. J Psychosom Res 1994, 38(6):539-545.
- [13]Stamp GE, Williams AS, Crowther CA: Predicting postnatal depression among pregnant women. Birth 1996, 23(4):218-223.
- [14]Posner NA, Unterman RR, Williams KN, Williams GH: Screening for postpartum depression: an antepartum questionnaire. J Reprod Med 1997, 42:207-215.
- [15]Reid A, Biringer A, Carroll J, Midmer D, Wilson L, Chalmers B, Stewart D: Using the ALPHA form in practice to assess antenatal psychosocial health. Antenatal psychosocial health assessment. CMAJ 1998, 159(6):677-684.
- [16]Webster J, Pritchard MA, Creedy D, East C: A simplified predictive index for the detection of women at risk for postnatal depression. Birth 2003, 30:101-108.
- [17]Austin MP, Hadzi-Pavlovic D, Saint K, Parker G: Antenatal screening for the prediction of postnatal depression: validation of a psychosocial pregnancy risk questionnaire. Acta Psychiatr Scand 2005, 112(4):310-317.
- [18]Bernazzani O, Marks MN, Bifulco A, Siddle K, Asten P, Conroy S: Assessing psychosocial risk in pregnant/postpartum women using the contextual assessment of maternity experience (CAME)–recent life adversity, social support and maternal feelings. Soc Psychiatry Psychiatr Epidemiol 2005, 40(6):497-508.
- [19]Boyce P, Hickery A, Gilchrist J, Talley NJ: The development of a brief personality scale to measure vulnerability to postnatal depression. Arch Womens Ment Health 2001, 3:147-153.
- [20]Beck CT: Revision of the postpartum depression predictors inventory. J Obstet Gynecol Neonatal Nurs 2002, 31(4):394-402.
- [21]Beck CT: A meta-analysis of predictors of postpartum depression. Nurs Res 1996, 45(5):297-303.
- [22]Beck CT: A meta-analysis of the relationship between postpartum depression and infant temperament. Nurs Res 1996, 45(4):225-230.
- [23]Beck CT: Predictors of postpartum depression: an update. Nurs Res 2001, 50(5):275-285.
- [24]Beck CT, Records K, Rice M: Further development of the postpartum depression predictors inventory-revised. J Obstet Gynecol Neonatal Nurs 2006, 35(6):735-745.
- [25]Hanna B, Jarman H, Savage S, Layton K: The early detection of postpartum depression: midwives and nurses trial a checklist. J Obstet Gynecol Neonatal Nurs 2004, 33(2):191-197.
- [26]Oppo A, Mauri M, Ramacciotti D, Camilleri V, Banti S, Borri C, Rambelli C, Montagnani MS, Cortopassi S, Bettini A: Risk factors for postpartum depression: the role of the postpartum depression predictors inventory-revised (PDPI-R). results from the perinatal depression-research & screening unit (PNDReScU) study. Arch Womens Ment Health 2009, 12(4):239-249.
- [27]Sugishita K, Kurihara K, Furuta M, Ikeda M, Yamamoto H, Ootsuka H, Kamibeppu K: Approach to perinatal mental health and child abuse prevention in Japanese perinatal centers. J Jpn Soc Perin Neon Med 2011, 47(1):86-91.
- [28]Declercq ER, Sakala C, Corry MP, Applebaum S: Listening to mothers II: report of the second national U.S. Survey of Women’s childbearing experiences: conducted January-February, 2006 for childbirth connection by Harris interactive(R) in partnership with Lamaze international. J Perinat Educ 2007, 16(4):9-14.
- [29]Ministry of Health, Labour and Welfare: Prenatal visits and health checkups. Children and Family Bureau. Declaration of Director, Publication No. 936, Nov. 20; 1996.
- [30]Flaherty JA, Gaviria FM, Pathak D, Mitchell T, Wintrob R, Richman JA, Birz S: Developing instruments for cross-cultural psychiatric research. J Nerv Ment Dis 1988, 176(5):257-263.
- [31]Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, Hergueta T, Baker R, Dunbar GC: The mini-international neuropsychiatric interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry 1998, 59(Suppl 20):22-33. quiz 34–57
- [32]Fletcher R, Fletcher S, Wagner E: Clinical epidemiology: the essentials. Baltimore: Williams & Wilkins; 1996.
- [33]Swets J, Picket R: Evaluation of diagnostic systems. New York: Academic; 1982.
- [34]Glangeaud-Freudenthal NM, Boyce P: Postpartum depression: risk-factors and treatments–introduction. Arch Womens Ment Health 2003, 6(Suppl 2):S31-S32.
- [35]Robertson E, Grace S, Wallington T, Stewart DE: Antenatal risk factors for postpartum depression: a synthesis of recent literature. Gen Hosp Psychiatry 2004, 26(4):289-295.
- [36]Eberhard-Gran M, Eskild A, Tambs K, Schei B, Opjordsmoen S: The Edinburgh postnatal depression scale: validation in a Norwegian community sample. Nord J Psychiatry 2001, 55(2):113-117.
- [37]Buist AE, Barnett BE, Milgrom J, Pope S, Condon JT, Ellwood DA, Boyce PM, Austin MP, Hayes BA: To screen or not to screen–that is the question in perinatal depression. Med J Aust 2002, 177(Suppl):S101-S105.
- [38]Milgrom J, Gemmill AW, Bilszta JL, Hayes B, Barnett B, Brooks J, Ericksen J, Ellwood D, Buist A: Antenatal risk factors for postnatal depression: a large prospective study. J Affect Disord 2008, 108(1–2):147-157.
- [39]Ministry of Health, Labour and Welfare: Comprehensive survey of living conditions. Tokyo: Comprehensive Survey of Living Conditions Office, Division SS; 2009.