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      Factors associated with maternal postpartum fatigue: an observationalstudy

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      BMJ Open
      BMJ Publishing Group
      postpartum fatigue, childbirth, postnatal, survey, prevalence, predictor

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          Abstract

          Objectives

          To assess the prevalence of postpartum fatigue at 10 days, 1 month and 3 months, and to describe the sociodemographic and clinical characteristics of women with fatigue and the associations with infant characteristics, maternal–infant attachment, and partner and midwifery support.

          Setting

          Maternity care in England. Secondary analysis of 2014 National Maternity Survey.

          Participants

          Participants were a random sample of 10 000 women selected by the Office for National Statistics using birth registration records. Women aged less than 16 years or if their baby had died were excluded. Questionnaires were sent to women at 3 months post partum and asked about well-being and care during pregnancy, labour, birth and post partum. Specifically, women were asked whether they experienced fatigue/severe tiredness at 10 days, 1 month or 3 months post partum. Responses were received from 4578 women (47% response rate).

          Results

          Decreasing but substantial proportions of women, 38.8%, 27.1% and 11.4%, experienced fatigue/severe tiredness at 10 days, 1 month and 3 months, respectively. These figures varied significantly by maternal age, level of deprivation, education and parity. Women reporting depression, anxiety, sleep problems and those breast feeding were at significantly increased risk (eg, OR for depression in women with fatigue at 3 months: 2.99 (95% CI 2.13 to 4.21)). Significantly more negative language was used by these women to describe their babies, and they perceived their baby as more difficult than average (eg, two or more negative adjectives used by women with fatigue at 3 months: OR 1.86 (95% CI 1.36 to 2.54)). Women with postpartum fatigue had greater partner support but were significantly less likely to report seeing the midwife as much as they wanted.

          Conclusions

          Postpartum fatigue is not inevitable or universal, although early in the postnatal period it affects a substantial proportion of women. Predictors include age and parity, but practical help and support from partners and midwives may be protective factors.

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          Most cited references39

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          Psychometric qualities of a brief self-rated fatigue measure: The Fatigue Assessment Scale.

          The main aim of this study was to examine the dimensionality and psychometric qualities of a new 10-item fatigue measure, the Fatigue Assessment Scale (FAS). As part of a longitudinal study, the respondents, all workers with at least 20 working hours per week, completed the FAS, four related fatigue measures, a depression questionnaire, and an emotional stability scale. The FAS had a high internal consistency. The pattern of correlations and factor analysis showed good convergent and divergent validity. The FAS correlated strongly with the other fatigue scales. In a factor analysis of the five fatigue questionnaires, the FAS had the highest factor loading on a clear one-factor solution. Moreover, factor analyses revealed that fatigue, on the one hand, and depression and emotional stability, on the other hand, are separate constructs. Finally, it was shown that 8 out of the 10 FAS items were unbiased concerning gender; two had a uniform bias. The FAS represents a potentially valuable assessment instrument with promising internal consistency reliability and validity. Gender bias in the FAS does not have consequences for use of the FAS.
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            Sleep patterns and fatigue in new mothers and fathers.

            The purpose of this study was to describe the sleep patterns and fatigue of both mothers and fathers before and after childbirth. The authors used wrist actigraphy and questionnaires to estimate sleep and fatigue in 72 couples during their last month of pregnancy and 1st month postpartum. Both parents experienced more sleep disruption at night during the postpartum period as compared to the last month of pregnancy. Compared to fathers, with their stable 24-h sleep patterns over time, mothers had less sleep at night and more sleep during the day after the baby was born. Sleep patterns were also related to parents' work status and type of infant feeding. Both parents self-reported more sleep disturbance and fatigue during the 1st month postpartum than during pregnancy. Mothers reported more sleep disturbance than fathers, but there was no gender difference in ratings of fatigue. At both time points, fathers obtained less total sleep than mothers when sleep was objectively measured throughout the entire 24-h day. Further research is needed to determine the duration of sleep loss for both mothers and fathers, to evaluate the effect of disrupted sleep and sleep loss on psychosocial functioning and job performance, and to develop interventions for improving sleep patterns of new parents.
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              Development and validation of the short version of the Psychological General Well-Being Index (PGWB-S)

              Background The PGWBI is a 22-item health-related Quality of Life (HRQoL) questionnaire developed in US which produces a self-perceived evaluation of psychological well-being expressed by a summary score. The PGWBI has been validated and used in many countries on large samples of the general population and on specific patient groups. Recently a study was carried out in Italy to reduce the number of items of the original questionnaire, yielding the creation of a shorter validated version of the questionnaire (PGWB-S). The purpose of the present paper is to describe the methods adopted and to report and discuss the relevance of results. Methods Data for this study were collected from 4 different population samples: two general population samples a student and a patient sample. On the basis of the results of the first (development) sample population, six relevant items were identified statistically from the original questionnaire and grouped to assemble a new summary scale. Following the newly created 6-item questionnaire was administered in three independent population samples. Descriptive statistics, correlation coefficients, univariate and multivariate regression analyses were used to compare the performance of the long and short questionnaire, within and between population samples and across relevant subgroups. A further independent sample extracted by an ongoing cancer clinical trial served as final validation step. Results Overall, the questionnaires were administered to 1443 subjects. Six items were selected by a step-wise approach to explain 90% of the variance of the summary measure of the original questionnaire. Response rates reached 100%, while missing items were not observed. University students (n = 400) showed the highest mean value of the summary measure (75.3); while the patient sample (n = 28) had the lowest score (71.5). The correlation coefficients between the summary measures and the single items according to the different studies were satisfactory, reaching the highest estimates in the student sample. The internal consistency showed high values of the Cronbach's alpha coefficient (range 0.80 – 0.92) for all three study samples, coming close to the value of the coefficient established for the original questionnaire (0.94). A cross-validation in an independent sample of 755 cancer patients confirmed the item selection procedure and amount of variance explained by the new shorter questionnaire (ranging from 90. 2 to 95.1 %, across age and sex strata). Conclusion The newly identified PGWB-S showed good acceptability and validity for the use in various settings in Italy. The translation of the PGWB-S into different languages, and its use in other linguistic settings will add evidence about its cross-cultural validity.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2019
                27 July 2019
                : 9
                : 7
                : e025927
                Affiliations
                [1] departmentNPEU, Nuffield Department of Population Health , University of Oxford , Oxford, UK
                Author notes
                [Correspondence to ] Dr Maggie Redshaw; maggie.redshaw@ 123456npeu.ox.ac.uk

                Author surnames are correct

                Author information
                http://orcid.org/0000-0001-5506-3330
                Article
                bmjopen-2018-025927
                10.1136/bmjopen-2018-025927
                6661702
                31352411
                39097464-7c62-440b-b2b2-6389908701db
                © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 08 August 2018
                : 07 June 2019
                : 13 June 2019
                Funding
                Funded by: Policy Research Programme, Department of Health and Social Care, UK,;
                Categories
                Obstetrics and Gynaecology
                Research
                1506
                Custom metadata
                unlocked

                Medicine
                postpartum fatigue,childbirth,postnatal,survey,prevalence,predictor
                Medicine
                postpartum fatigue, childbirth, postnatal, survey, prevalence, predictor

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