China has the largest population of floating rural-to-urban women worldwide, most of whom are of childbearing age. However, few studies have been conducted to monitor the changing trends in parenting outcomes, mental health and social support for these women in the early postpartum period. In this quantitative longitudinal study, 680 primiparous women among the floating population were recruited in Shenzhen, China. Face-to-face collection of socio-demographic questionnaires was completed by researchers in maternity wards on the third postnatal day. Follow-up electronic questionnaires were dispatched to women via email or WeChat at 6 weeks and 12 weeks following childbirth, including the Self-efficacy in Infant Care Scale (SICS), Edinburgh Postnatal Depression Scale (EPDS) and Postnatal Social Support Scale (PSSS), to measure maternal self-efficacy (MSE), postpartum depression (PPD) and social support, respectively. The mean scores of MSE for these floating women were 67.16 (14.35) at 6 weeks postpartum and slightly increased to 68.71 (15.00) at 12 weeks postpartum. The mean scores of EPDS remained almost stable, from 11.19 (4.89) to 11.18 (5.34) at the two time points. The prevalence of mild and severe PPD among floating women at 6 and 12 weeks after childbirth decreased from 54.4% to 40.1% and from 50.6% to 35.4%, respectively. The mean score of social support was 37.04 (10.15) at 6 weeks postpartum and slightly improved to 38.68 (10.46) at 12 weeks postpartum. Primiparous women among the rural-to-urban migrant population had an obviously negative status of parenting outcomes and mental health; and there was a lack of social support after childbirth. In future, tailored evidence-based interventions are highly needed to promote floating women’s parenting outcomes, mental wellbeing and social support in the early stages of motherhood. As a higher-risk group of PPD, primiparous women among the floating population require effective and accessible mental health care after childbirth, such as early PPD screening and timely therapeutic methods.
(1) Background: Some primiparous women are usually confronted with many parenting problems after childbirth, which can negatively influence the wellbeing of some mothers and infants. Evidence identified that internet interventions can include more tailored information, reach a larger research group, and supply more anonymity than face-to-face traditional interventions. Therefore, the internet-based support program (ISP) was designed to improve the parenting outcomes for Chinese first-time mothers. (2) Methods: A multicenter, single-blinded, pilot randomized controlled trial was conducted. From May to October 2020, a total of 44 participants were recruited in the obstetrical wards of two tertiary hospitals in China. Eighteen women in the control group received routine postnatal care; while eighteen women in the intervention group accessed to the ISP and routine postnatal care. The duration of intervention was not less than three months. Intervention outcomes were assessed through questionnaires before randomization (T0), immediately after intervention (T1), and three months after intervention (T2). The Self-efficacy in Infant Care Scale (SICS), Edinburgh Postnatal Depression Scale (EPDS), and Postpartum Social Support Scale (PSSS) were included to measure MSE, postpartum depression (PPD), and social support, respectively. (3) Results: No significant difference between the two groups were found in terms of the baseline social-demographic characteristics; and the scores of SICS, EPDS and PSSS at T0 (p > 0.05). Repeated measures multivariate analysis of covariance found that women in the intervention group had a higher MSE score at T1 (6.63, p = 0.007), and T2 (5.75, p = 0.020); a lower EPDS score at T1 (3.11, p = 0.003), and T2 (2.50, p = 0.005); and a higher PSSS score at T1 (4.30, p = 0.001); and no significant difference at T2 (0.35, p = 0.743), compared with women in the control group. (4) Conclusion: The effect of ISP was evaluated to significantly increase primiparous women’s MSE, social support, and to alleviate their PPD symptoms. However, the small sample in pilot study restricted the research results. Therefore, the ISP should be further investigated with a larger, diverse sample to confirm whether it should be adopted as routine postnatal care to support primiparous women on parenting outcomes and mental wellbeing in the early stage of motherhood.
Bayesian network (BN) has been adopted as the underlying model for representing and inferring uncertain knowledge. As the basis of realistic applications centered on probabilistic inferences, learning a BN from data is a critical subject of machine learning, artificial intelligence, and big data paradigms. Currently, it is necessary to extend the classical methods for learning BNs with respect to data-intensive computing or in cloud environments. In this paper, we propose a parallel and incremental approach for data-intensive learning of BNs from massive, distributed, and dynamically changing data by extending the classical scoring and search algorithm and using MapReduce. First, we adopt the minimum description length as the scoring metric and give the two-pass MapReduce-based algorithms for computing the required marginal probabilities and scoring the candidate graphical model from sample data. Then, we give the corresponding strategy for extending the classical hill-climbing algorithm to obtain the optimal structure, as well as that for storing a BN by
Aim To evaluate the effects of internet‐based support program for primiparous women in terms of improving the levels of maternal self‐efficacy, social support, and satisfaction; and reducing their postpartum depression symptoms. Design A single‐blinded, multicentre, randomized, controlled, parallel‐group pre‐test and repeated post‐test design. Methods Based on the self‐efficacy theory and the social exchange theory, the internet‐based support program has five modules: (a) learning forum of parenting knowledge and skills; (b) communication forum; (c) ask‐the‐expert forum; (d) baby home forum; and (e) reminder forum. Primiparous women will be recruited in the obstetric wards of two university‐affiliated hospitals in China. The participants (N = 258) will be randomly allocated to the intervention group that receive routine care and access to the internet‐based support program and the control group that receive routine care during the 3 months postpartum. Maternal self‐efficacy, social support, and postpartum depression symptoms will be measured at baseline, immediately after the intervention (post‐test 1) and 3 months after the intervention (post‐test 2). The study was funded in January 2018 and was ethically approved in May 2020. Discussion If the internet‐based support program has positive outcomes, it will contribute to the scientific and practical knowledge of nursing interventions to support primiparous women on parenting; and could become the routine health care for health professionals to enhance parenting ability and mental well‐being of new mothers. Impact As the first RCT study on parenting outcomes using a rigorous research design and a theoretical framework in China, this research will contribute to evidence on the effectiveness of using internet platform to support women after childbirth. The results could help to advance research about the use of internet‐based intervention methods to improve women's maternal self‐efficacy, social support, satisfaction, and to alleviate depression symptoms. Chinese Clinical Trial Registry: ChiCTR2000033154
Background: Postpartum depression (PPD) has been recognized as a severe public health problem worldwide due to its high incidence and the detrimental consequences not only for the mother but for the infant and the family. However, the pattern of natural transition trajectories of PPD has rarely been explored. Methods: In this research, a quantitative longitudinal study was conducted to explore the PPD progression process, providing information on the transition probability, hazard ratio, and the mean sojourn time in the three postnatal mental states, namely normal state, mild PPD, and severe PPD. The multi-state Markov model was built based on 912 depression status assessments in 304 Chinese primiparous women over multiple time points of six weeks postpartum, three months postpartum, and six months postpartum. Results: Among the 608 PPD status transitions from one visit to the next visit, 6.2% (38/608) showed deterioration of mental status from the level at the previous visit; while 40.0% (243/608) showed improvement at the next visit. A subject in normal state who does transition then has a probability of 49.8% of worsening to mild PPD, and 50.2% to severe PPD. A subject with mild PPD who does transition has a 20.0% chance of worsening to severe PPD. A subject with severe PPD is more likely to improve to mild PPD than developing to the normal state. On average, the sojourn time in the normal state, mild PPD, and severe PPD was 64.12, 6.29, and 9.37 weeks, respectively. Women in normal state had 6.0%, 8.5%, 8.7%, and 8.8% chances of progress to severe PPD within three months, nine months, one year, and three years, respectively. Increased all kinds of supports were associated with decreased risk of deterioration from normal state to severe PPD (hazard ratio, HR: 0.42–0.65); and increased informational supports, evaluation of support, and maternal age were associated with alleviation from severe PPD to normal state (HR: 1.46–2.27). Conclusions: The PPD state transition probabilities caused more attention and awareness about the regular PPD screening for postnatal women and the timely intervention for women with mild or severe PPD. The preventive actions on PPD should be conducted at the early stages, and three yearly; at least one yearly screening is strongly recommended. Emotional support, material support, informational support, and evaluation of support had significant positive associations with the prevention of PPD progression transitions. The derived transition probabilities and sojourn time can serve as an importance reference for health professionals to make proactive plans and target interventions for PPD.
The study aimed to explore the association between sleep duration, insomnia symptoms and the components of metabolic syndrome (MetS) among middle-aged and older adults. A cross-sectional study was conducted in five community health centers and physical check-up centers of two comprehensive hospitals in Guangdong. We recruited 1252 participants (658 female), aged 40–96 years and with a body mass index (BMI) of 16.26–35.56 kg/m2. MetS was assessed based on the guidelines of the International Diabetes Federation. Self-reported sleep duration was evaluated by a simplified questionnaire. Compared with the participants who slept 6–8 h/day, those who slept shorter (<6 h/day) or longer (>8 h/day) periods of time with or without insomnia symptoms had significantly increased odds ratios (ORs) of high blood pressure (except for the SBP in model 2) and high triglycerides (TGs) in all models (p < 0.05), whereas the participants who slept longer (>8 h/day) or shorter (<6 h/day) periods of time with insomnia symptoms had significantly increased ORs of low HDL-C in all models (p < 0.05), but non-significant in those without insomnia symptoms. BMI is significant for insomnia symptoms but not for sleep duration. Our study indicated that the association of sleep duration with MetS components was partially associated with insomnia symptoms. These findings have significant implications to explore the appropriate sleep duration for adults.
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