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Postpartum blues, also known as baby ... the Maternity Blues Questionnaire [23] and the Stein Scale. ... screening for depression and/or assessment of emotional well ...
The Edinburgh Postnatal Depression Scale (EPDS) is a 10-item questionnaire that was developed to identify women who have postpartum depression. [1] Items of the scale correspond to various clinical depression symptoms, such as guilt feeling, sleep disturbance, low energy, anhedonia, and suicidal ideation. Overall assessment is done by total ...
The Edinburgh Postnatal Depression Scale, a standardized self-reported questionnaire, may be used to identify women who have postpartum depression. [96] If the new mother scores 13 or more, she likely has PPD and further assessment should follow.
A postpartum disorder or puerperal disorder is a disease or condition which presents primarily during the days and weeks after childbirth called the postpartum period.The postpartum period can be divided into three distinct stages: the initial or acute phase, 6–12 hours after childbirth; subacute postpartum period, which lasts two to six weeks, and the delayed postpartum period, which can ...
This depression rating scale includes a 27-item screening questionnaire and follow-up clinician interview designed to facilitate the diagnosis of common mental disorders in primary care. Its lengthy administration time has limited its clinical usefulness; it has been replaced by the Patient Health Questionnaire (PHQ-9). [16]
Postpartum depression and breastfeeding failure are also attributed to neuroendocrine mechanisms. [5] Postpartum depression is also closely associated with inflammation caused by postpartum pain or sleep deprivation, which are common experiences of motherhood. Breastfeeding decreases this inflammation response which is beneficial to the mother ...
The Eating Disorder Examination Questionnaire (EDE-Q) is a 28-item self-report questionnaire, adapted from the semi-structured interview, the Eating Disorder Examination (EDE). The questionnaire is designed to assess the range, frequency and severity of behaviours associated with a diagnosis of an eating disorder.
Achenbach used machine learning and principal component analysis when developing the ASEBA in order to cluster symptoms together when forming the assessment's eight categories. This approach ignored the syndrome clusters found in the DSM-I, instead relying on patterns found in case records of children with identified psychopathologies.