Impact of dietary inflammatory index on gestational diabetes mellitus in normal and overweight women: a systematic review and meta-analysis of observational studies.

BACKGROUND AND OBJECTIVES: To systematically investigate the association between the dietary inflammatory index (DII) and gestational diabetes mellitus (GDM), with a focus on the role of BMI in this relationship. METHODS AND STUDY DESIGN: A comprehensive search was conducted in PubMed, Embase, Web of Science, The Cochrane Library, Medline, CINAHL Complete, Chinese Periodical Full-text Database, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, and China Wanfang Database for rele-vant observational studies published up to August 2023. The quality of the included studies was assessed using the Newcastle-Ottawa Scale. The pooled effect size was calculated using a random-effects model. Sub-group and meta-regression analyses were performed to explore potential sources of heterogeneity. RESULTS: The study included 54,058 participants from 10 studies. Pregnant women with a higher DII, indicating a pro-inflammatory diet, had a significantly increased risk of GDM compared to those with a lower DII, indicating an anti-inflammatory diet (pooled OR: 1.17, 95% CI: 1.01-1.36; I²=70%, p <0.001). Subgroup analyses revealed a stronger association in normal weight stratification (OR: 1.25, 95%CI: 1.04-1.51), case-control studies (OR: 1.45, 95%CI: 1.03-2.05), Asia (OR: 1.26, 95%CI: 1.10-1.43), Europe (OR: 1.27, 95%CI: 1.09-1.48), 3-day dietary record as a dietary assessment tool (OR: 1.30, 95%CI: 1.16-1.46), physical activity adjustment (OR: 1.28, 95%CI: 1.13-1.46), and energy intake adjustment (OR: 1.33, 95%CI: 1.19-1.48). Meta-regression analysis confirmed that geographical region significantly influenced heterogeneity between studies (p <0.05). CONCLUSIONS: An elevated DII is independently linked to a higher risk of GDM, especially in women of normal weight.

Associations between specific dietary patterns, gut microbiome composition, and incident subthreshold depression in Chinese young adults.

INTRODUCTION: The interplay between influential factors and the incidence of subthreshold depression (SD) in young adults remains poorly understood. OBJECTIVES: This study sought to understand the dietary habits, gut microbiota composition, etc. among individuals with SD in young adults and to investigate their association with SD occurrence. METHODS: Employing a cross-sectional approach, 178 individuals with SD, aged 18-32 years, were matched with 114 healthy counterparts. SD status was evaluated using the Zung Self-rating Depression Scale (SDS), Zung Self-rating Anxiety Scale (SAS), Beck Depression Inventory 2nd version (BDI-II), the 17-item Hamilton Rating Scales of Depression (HAMD-17), and Pittsburgh Sleep Quality Index (PSQI). Metagenomic sequencing was utilized to identify fecal microbial profiles. Dietary patterns were discerned via factor analysis of a 25-item food frequency questionnaire (FFQ). Logistic regression analysis and mediation analysis were performed to explore the potential links between gut microbiota, dietary patterns, and incident SD. RESULTS: Data on dietary habits were available for 292 participants (mean [SD] age, 22.1 [2.9] years; 216 [73.9 %] female). Logistic regression analysis revealed that dietary patterns Ⅰ (odds ratio [OR], 0.34; 95 % CI, 0.15-0.75) and IV (OR, 0.39; 95 % CI, 0.17-0.86 and OR, 0.39; 95 % CI, 0.18-0.84) were associated with reduced risk of SD. Distinct microbial profiles were observed in young adults with SD, marked by increased microbial diversity and taxonomic alterations. Moreover, mediation analysis suggested Veillonella atypica as a potential mediator linking SDS or BDI-II scores with a healthy dietary pattern rich in bean products, coarse grains, nuts, fruits, mushrooms, and potatoes (ß = 0.25, 95 % CI: 0.02-0.78 and ß = 0.18, 95 % CI: 0.01-0.54). CONCLUSIONS: Our findings highlight the complex interplay between dietary patterns, gut microbiota, and the risk of developing SD in young adults, underscoring the potential for dietary interventions and microbiome modulation in mental health promotion.

Prevalence and bidirectional association of sleep quality and gut health among Chinese midwives: a large population, multi-center cross-sectional study.

Background: Shift work can disrupt sleep quality and gut health. Nurses and midwives constitute approximately half of the global healthcare shift-working workforce. Our previous study revealed that most midwives were experiencing suboptimal health conditions, characterized by poor sleep quality and a high prevalence of gastrointestinal diseases. The gut-brain axis theory highlights the potential interplay between sleep quality and gut health. However, limited research focuses on this relationship among midwives. Methods: A cross-sectional survey included 2041 midwives from 87 Chinese hospitals between March and October 2023. Participants completed standardized questionnaires assessing sleep quality, gut health, depression, anxiety, and work stress. Binary logistic regression analyzed factors associated with poor sleep, and multiple linear regression examined the influence of sleep quality on gut health. Results: Over 60% of midwives reported poor sleep, with many experiencing gastrointestinal disorders. We observed a bidirectional relationship between sleep quality and gut health among midwives. After multivariable adjustments, midwives with higher gut health scores were more likely to experience poor sleep quality (odds ratio = 1.042, 95% confidence interval = 1.03-1.054). Conversely, midwives with higher sleep quality scores were also more likely to have poor gut health (ß = 0.222, 95% confidence interval = 0.529-0.797). These associations remained robust across sensitivity analyses. Furthermore, depression, anxiety, and work stress significantly affected both sleep quality and gut health among midwives. Conclusion: This study enhances our understanding of the intricate relationship between sleep quality and gut health among midwives. Poor gut health was associated with a higher risk of poor sleep, and vice versa. To improve the overall wellbeing of midwives, the findings emphasize the importance of addressing poor sleep quality and promoting gut health through maintaining a healthy diet, lifestyle, and good mental health. Further studies are needed to confirm our findings and clarify the underlying mechanisms.

National norms for the obstetric nurses' and midwives' health education competence, and its influencing factors: a nationwide cross-sectional study.

BACKGROUND: Strengthening obstetric nurses' and midwives' health education competence is the investment and guarantee for the population's future health. The purpose of study is to establish national norms for their health education competence, and explore possible influencing factors for providing an uniform criterion identifying levels and weaknesses. METHODS: An online questionnaire with a standard process was used to collect data. Three normative models were constructed, and multiple linear regression analysis analyzed possible influencing factors. RESULTS: The sample respondents (n = 3027) represented obstetric nurses and midwives nationally. Three health education competency normative norms (mean, percentile and demarcation norm) were constructed separately. Locations, hospital grade, department, marital status, training times and satisfaction with health education training influenced obstetrical nurses' and midwives' health education competence (P<0.05). CONCLUSION: This study constructed the first national standard for assessing obstetric nurses' and midwives' health education competence, providing a scientific reference to evaluate the degree of health education competence directly. These known factors could help clinical and policy managers designate practice improvement measures. In future research, Grade I hospitals should be studied with larger sample sizes, and indicators need to improve to reflect health education's effect better.

Association between prepregnancy body mass index or gestational weight gain and adverse pregnancy outcomes among Chinese women with gestational diabetes mellitus: a systematic review and meta-analysis.

OBJECTIVE: The association between prepregnancy body mass index (BMI) or gestational weight gain (GWG) and adverse pregnancy outcomes among Chinese women with gestational diabetes mellitus (GDM) is unknown. This study aims to evaluate such association by synthesising the evidence. DESIGN: Systematic review and meta-analysis. DATA SOURCES: PubMed, Web of Science, Scopus, EMBASE, China Biology Medicine disc, China National Knowledge Infrastructure, Wangfang, and China Science and Technology Journal Database searched from inception to 11 August 2023. ELIGIBILITY CRITERIA: Prospective cohort studies, retrospective cohort studies and case-control studies estimating the relationship of abnormal prepregnancy BMI (including underweight, overweight or obesity) or inappropriate GWG (including excess GWG or insufficient GWG) with adverse pregnancy outcomes of interest were included. Outcomes included macrosomia, caesarean section, preterm birth, gestational hypertension, large for gestational age (LGA) and small for gestational age (SGA). DATA EXTRACTION AND SYNTHESIS: Two reviewers independently selected studies, extracted the data and assessed the risk of bias. OR estimate and its 95% CI were pooled using Stata software fixed-effect model. Subgroup analysis, meta-regression and sensitivity analysis were performed to ensure credibility of the results. RESULTS: Twenty-three studies (eighteen retrospective cohort studies, three prospective cohort studies and two case control studies) involving 57 013 Chinese women with GDM were identified. Meta-analysis results showed that compared with GDM women with normal weight, GDM women with underweight were at a higher risk of SGA (OR=1.79 (1.54 to 2.07), five studies involving 31 967 women); women with overweight had higher risks of macrosomia (OR=1.65 (1.49 to 1.82), eleven studies involving 41 683 women), caesarean section (OR=1.48 (1.38 to 1.59), ten studies involving 34 935 women), preterm birth (OR=1.27 (1.13 to 1.43), eight studies involving 38 295 women) and LGA (OR=1.73 (1.54 to 1.95), seven studies involving 31 342 women) and women with obesity had higher risks of macrosomia (OR=2.37 (2.04 to 2.76), eleven studies involving 41 683 women), caesarean section (OR=2.07 (1.84 to 2.32), nine studies involving 34 829 women), preterm birth (OR=1.31 (1.09 to 1.57), eight studies involving 38 295 women) and LGA (OR=2.63 (2.15 to 3.21), six studies involving 31 236 women). Regard to GWG, compared with Chinese GDM women with sufficient GWG, GDM women with excessive GWG had higher risks of macrosomia (OR=1.74 (1.58 to 1.92), twelve studies involving 40 966 women), caesarean section (OR=1.44 (1.36 to 1.53), nine studies involving 36 205 women) and LGA (OR=2.12 (1.96 to 2.29), twelve studies involving 42 342 women); women with insufficient GWG conversely had higher risks of preterm birth (OR=1.59 (1.45 to 1.74), nine studies involving 37 461 women) and SGA (OR=1.38 (1.27 to 1.51), ten studies involving 41 080 women). CONCLUSIONS: For Chinese women with GDM, abnormal prepregnancy BMI or inappropriate GWG were related to higher risks of many adverse pregnancy outcomes. Therefore, medical staff should pay more attention to the weight management of GDM women during pregnancy.

The exploration of optimal gestational weight gain after oral glucose tolerance test for Chinese women with gestational diabetes mellitus.

Now, no recommendations of gestational weight gain (GWG) after gestational diabetes mellitus (GDM) diagnosis for Chinese women was made. This study aimed to explore the optimal GWG after oral glucose tolerance test (OGTT) for Chinese women with GDM. The GWG status of 11,570 women was retrospectively analyzed. Binary regression model and restricted cubic spline were used to estimate the association between GWG after OGTT and the predicted probability of adverse outcomes. Based on above, the optimal GWG was defined as the range that not exceed 1% increase in the predicted probability from the lowest point. Results shown that every increased one unit GWG after OGTT was associated with higher risks of macrosomia, cesarean section and LGA, and lower risk of preterm birth. According to the WHO and Working Group on Obesity in China (WGOC) recommended pre-pregnancy BMI category, the optimal GWG were proposed: 3.66 to 6.66 kg/3.66 to 6.66 kg in underweight group, 3.07 to 6.50 kg/3.02 to 6.40 kg in normal weight group, 1.06 to 2.73 kg/0 to 1.99 kg in overweight group, and not applicable/- 0.22 to 2.53 kg in obese group, respectively. Therefore, it is necessary to classified Chinese population based on the WGOC recommended pre-pregnancy BMI category, that influenced the contribution of pre-pregnancy BMI groups and the optimal GWG recommendation for GDM women with overweight or obesity.

Risk factors and glycaemic control in small-for-gestational-age infants born to mothers with gestational diabetes mellitus: a case-control study using propensity score matching based on a large population.

BACKGROUND: Small for gestational age (SGA) poses a significant concern for newborns, being linked to neonatal complications and potential metabolic disorders in adulthood, especially when born to mothers with gestational diabetes mellitus (GDM), elevating their risk of complications and mortality. However, the pregnancy risk factors and glycaemic control associated with SGA infants born to mothers with GDM remain unclear. AIM: To identify the pregnancy risk factors and glycaemic control associated with SGA infants born to mothers with GDM. METHOD: This case-control study was conducted among 1910 women with GDM in China. Data were collected by the integrated electronic medical record system. Using 1:4 propensity score matching analysis, we adjusted for gestational age as confounder. Univariate and multivariate analyses were performed to identify risk factors. RESULTS: Risk factors for SGA born to mothers with GDM included a history of low birth weight, gestational hypertension, oligohydramnios, short maternal height, underweight pre-pregnancy body mass index and inadequate weight growth. While SGA was protected by weakly positive ketonuria levels in the first trimester, multiparous, anaemia and previous uterine scar were protective factors for SGA. Moreover, 2-hour postprandial glucose and haemoglobin A1c in the second trimester, as well as the 0-hour and 2-hour 75 g oral glucose tolerance test (OGTT) were linked to risk of SGA. CONCLUSIONS: SGA infants are the result of multifactorial interactions among GDM pregnant women. Notably, glycaemic control levels were associated with SGA. There is a need for enhanced perinatal monitoring and antenatal care to reduce SGA.

Application of in vivo brain imaging technology in the basic research of acupuncture-moxibustion for encephalopathy. / æ´»ä½“è„‘æˆåƒæŠ€æœ¯åœ¨é’ˆç¸è„‘ç— åŸºç¡€ç ”ç©¶ä¸­çš„åº”ç”¨.

Acupuncture-moxibustion is remarkably effective on encephalopathy, but its mechanism is unclear. With the continuous development of imaging technology, the in vivo brain imaging technology has been used increasingly in life science research and it also becomes a more effective tool for the basic research of acupuncture-moxibustion in treatment of encephalopathy. The paper summarizes the application of its technology in the basic research of acupuncture-moxibustion for encephalopathy and the characteristics of imaging, as well as the advantages and shortcomings. It is anticipated that the references may be provided for the basic research of acupuncture-moxibustion in treatment of encephalopathy and be conductive to the modernization of acupuncture-moxibustion.

Effect of depressive symptoms on quality of work life in female nurses: a cross-sectional study using propensity score matching.

Background: Female nurses have been considered as a vulnerable population in the context of mental health, due to the nature of their work, which can be stressful and emotionally taxing. Understanding the relationship between depressive symptoms and quality of work life (QWL) can contribute to improving mental health and job performance. However, limited studies have focused on the effect of depressive symptoms on QWL in female nurses. Objectives: The present study aimed to assess the effect of depressive symptoms on female nurses' QWL using propensity score matching (PSM). Methods: A cross-sectional, online study using convenience sampling was conducted among 1,401 female nurses in China. PSM was used to minimize the impact of potential confounders between no depressive symptoms and depressive symptoms. Stepwise multiple linear regression analyses were performed on the PSM samples to explore the effects of depressive symptoms on the QWL. Results: The results revealed there were 33.5% of the female nurses reported depressive symptoms before PSM. And female nurses in this study had a moderate level of QWL before PSM (122.11 ± 18.15), which remained steady after PSM (118.33 ± 18.04). After PSM, the final sample contained 864 female nurses. Stepwise multiple linear regression results indicated that depressive symptoms were the most strongly associated with QWL (ß = -0.454, p < 0.001). Conclusion: This study highlights the importance of developing mental health plans and psychological interventions for female nurses to maintain mental health and QWL, which is critical to the nursing workforce's sustainability.

Mediating effects of social support, mental health between stress overload, fatigue and turnover intention among operating theatre nurses.

BACKGROUND: The high rate of nurses turnover and nursing staff shortage have been an ongoing concern issue and a challenge for global health systems. To explore the turnover intention among operating theatre nurses, and to test the hypothetical model for estimating the effects of stress overload and fatigue between social support, mental health and turnover intention. DESIGN: a multi-center and cross-sectional online survey. METHODS: This study was conducted from October 2020 to March 2021 comprised 1060 operating theatre nurses from 76 Chinese hospitals. The descriptive analysis, independent sample t test and one-way analysis of variance and Spearman correlation analysis were used to explore the relationships among variables by the SPSS software, and stepwise multiple linear regression analysis was utilized to identify influencing factors of turnover intention and its dimensions among operating theatre nurses. A structural equation model was analyzed by the AMOS software. RESULTS: Social support, mental health, stress overload and fatigue were important predictors of turnover intention among operating theatre nurses. Besides, stress overload positively affected fatigue, mental health and turnover intention; fatigue negatively affected social support, however, fatigue positively affected mental health; social support negatively affected mental health and turnover intention; mental health positively affected turnover intention. Moreover, social support, mental health mediated between stress overload, fatigue and turnover intention among operating theatre nurses. CONCLUSION: Social support, mental health mediated between stress overload, fatigue and turnover intention among operating theatre nurses.

The effects of plant-based dietary patterns on the risk of developing gestational diabetes mellitus: A systematic review and meta-analysis.

BACKGROUND: The worldwide prevention of gestational diabetes mellitus (GDM) is a significant health challenge. Plant-based dietary patterns are a series dietary habits that emphasized foods derived from plant sources more and from animal foods less. Now, no consensus exists on the effects of plant-based dietary patterns on the incident of GDM. OBJECTIVE: This study aimed to estimate the effects of plant-based dietary patterns on the risk of developing GDM. METHODS: This systematic review was conducted following the checklist of PRISMA. Six electronic databases including PubMed, Embase, Web of Science, China National Knowledge Infrastructure, Wangfang, and Chinese Scientific Journals Database were searched from inception to November 20, 2022. A fixed or random effect model was used to synthesize results of included studies. Then, subgroup analysis, meta-regression and sensitivity analysis were performed to assure the reliability and stability of the results. RESULTS: Ten studies including 32,006 participants were identified. The results of this study showed that the better adherence to the plant-based dietary patterns was related to the lower risk of developing GDM (RR = 0.88[0.81 to 0.96], I2 = 14.8%). The slightly stronger association between plant-based diets and the risk of developing GDM was found when healthy plant-based dietary pattern index was included in pooled estimate (RR = 0.86[0.79 to 0.94], I2 = 8.3%), compared with that unhealthy one was included (RR = 0.90[0.82 to 0.98], I2 = 8.3%). CONCLUSION: The plant-based dietary patterns are associated with a lower risk of developing GDM. Furthermore, healthy plant-based dietary patterns are more recommended than unhealthy one. It is significant to help medical staff to guide pregnant women to choose reasonable diets.

[Effects of auricular thumbtack needle on lactation function and TDP-43/Btn1A1/XDH pathway in primiparous women with cesarean section].

OBJECTIVE: To observe the effects of auricular thumbtack needle on breast feeding and lactation function in primiparous women with cesarean section, and to explore its mechanism of action from the perspective of lactation-related gene expression. METHODS: One hundred cases of primiparous women with cesarean section were randomly divided into an observation group (50 cases, 3 cases dropped off) and a control group (50 cases, 2 cases were eliminated). The patients in the control group were treated with routine obstetric care. Based on the treatment of the control group, the patients in the observation group were treated with auricular thumbtack needle at Neifenmi (CO18), Xiong (AH10), Xiongzhui (AH11), Shenmen (TF4), and Jiaogan (AH6a), etc., with one side of auricular point selected, only once for a total of 3 d. The lactation initiation time, lactation adequacy rate at postpartum 72 h, exclusive breastfeeding rate at postpartum 42 d, and breastfeeding score after treatment were compared between the two groups. Real-time quantitative PCR and Western blot method were used to detect the mRNA and protein expression levels of TDP-43, Btn1A1 and XDH. RESULTS: After treatment, the lactation initiation time in the observation group was earlier than that in the control group (P<0.01), and breastfeeding score in the observation group was higher than that in the control group (P<0.01). The lactation adequacy rate at postpartum 72 h was 63.8% (30/47) in the observation group, which was higher than 41.7% (20/48) in the control group (P<0.05). The exclusive breastfeeding rate at postpartum 42 d was 72.3% (34/47) in the observation group, which was higher than 47.9% (23/48) in the control group (P<0.05). The mRNA and protein expression levels of TDP-43 and Btn1A1 in breast milk in the observation group were higher than those in the control group (P<0.01), while there was no statistically significant difference in mRNA and protein expression of XDH in breast milk between the two groups (P>0.05). CONCLUSION: The auricular thumbtack needle in addition to routine care could promote lactation initiation, improve lactation adequacy rate and exclusive breastfeeding rate in primiparous women with cesarean section, and the action mechanism may be related to up-regulation of TDP-43 and Btn1A1 expression.

Fruit, vegetable, and fruit juice consumption and risk of gestational diabetes mellitus: a systematic review and meta-analysis : List of all authors.

BACKGROUND: Fruit, vegetable, and fruit juice intake is associated with the risk of gestational diabetes mellitus (GDM). However, the conclusion is limited and conflicted. The purpose of this systematic review and meta-analysis is to investigate the association between fruit, vegetable, and fruit juice consumption and the risk of GDM. METHODS: To find relevant studies, we searched PubMed, The Cochrane Library, Web of Science, Embase, ScienceDirect, PsycINFO, CINAHL, Ovid, EBSCO, CBM, CNKI, Wanfang Data, and VIP for the report on prospective cohort studies published from inception to April 8, 2022. Summary relative risks (RR) and 95% confidence intervals (Cis) were estimated using a random-effects model. RESULTS: A total of 12 studies with 32,794 participants were included in the meta-analysis. Total fruit consumption was associated with a lower risk of GDM (RR = 0.92, 95% CI = 0.86-0.99). Whereas an increasing the consumption of vegetable, including all vegetable (RR = 0.95, 95% CI = 0.87-1.03), starchy vegetable (RR = 1.01, 95% CI = 0.82-1.26), and fruit juice (RR = 0.97, 95% CI = 0.91-1.04) was not associated with a reduction in the risk of GDM. In a dose‒response analysis of eight studies, a 3% reduction in risk of GDM for a 100 g/d increase in fruit consumption (RR = 0.97, 95% CI = 0.96-0.99). CONCLUSIONS: The findings suggest that higher fruit consumption may reduce the risk of GDM, with a 3% reduction in the risk of GDM for every 100 g/d increase in fruit intake. Higher-quality prospective studies or randomized clinical trials are required to validate the effect of different variations of fruits, vegetables, and fruit juice consumption on the risk of GDM.

Dynamic Change of Novel Systemic Inflammation Markers to Predict Maternal-Neonatal Prognosis After Cervical Cerclage.

Objective: Cervical cerclage is an effective method to prevent preterm birth. However, the clinical indicators that can predict cervical cerclage remain limited. This study aimed to explore whether dynamically inflammatory markers are valuable biomarkers for the prognosis of cervical cerclage. Methods: This study included 328 participants. Inflammatory markers were calculated using maternal peripheral blood before and after the cervical cerclage procedure. The Chi-square test, linear regression, and logistic regression were performed to evaluate the dynamic change of inflammatory markers with the prognosis of cervical cerclage. And the optimal cut-off values of inflammatory markers were calculated. Results: Totally 328 pregnant women were analyzed in the study. 223 (67.99%) participants obtained successful cervical cerclage. This study revealed that the maternal age, the baseline BMI (cm2/kg), the times of gravida, the rate of recurrent abortion, the PPROM, cervical length shorter (<1.5cm), cervical dilation (≥2cm), the bulging membrane, the Pre-SII, the Pre-SIRI, the Post-SII, the Post-SIRI, and the ΔSII were significantly associated with outcomes after cervical cerclage (all P<0.05). Pre-SII, Pre-SIRI, Post-SII, Post-SIRI, and ΔSII levels were mainly related to maternal-neonatal outcomes. Furthermore, the results demonstrated that the ΔSII level had the highest OR (OR=14.560; 95% CI (4.461-47.518)). In addition, we revealed that Post-SII and ΔSII levels had the highest AUC (0.845/0.840) and relatively higher sensitivity/specificity (68.57/92.83% and 71.43/90.58%) and PPV/ NPV (81.82/86.25% and 78.13/87.07%) compared with other indicators. Conclusion: This study suggested that the dynamic change of SII level and SIRI level are important biochemical markers to predict the prognosis of cervical cerclage and maternal-neonatal prognosis, especially the Post-SII and ΔSII levels. They can help to determine candidates for cervical cerclage before surgical procedure and enhance postoperative surveillance.

The mothers' breastfeeding behaviour within six weeks postpartum: new scale development and psychometric validation study.

BACKGROUND: The evaluation of mothers' breastfeeding behaviour within 6 weeks postpartum could help health workers comprehensively identify maternal breastfeeding shortcomings, clarify nursing problems, and provide targeted interventions. However, no prior study was found, therefore this study aimed to develop and validate the reliability and validity of the mothers' breastfeeding behaviour scale within 6 weeks postpartum. METHODS: A main two-step approach was used: (1) a qualitative pilot study using the purposive sampling method was adopted to test the fitness, simplicity, and clarity of items with 30 mothers; (2) a cross-sectional survey using the convenient sampling method was conducted for item analysis and psychometric validation with 600 mothers. RESULTS: The final version of the scale consisted of 36 items with seven dimensions, explaining 68.852% of the total variance. The Cronbach's α, split-half, and retest coefficients were 0.958, 0.843, and 0.753, respectively. The validity of the scale: (1) Content validity: content validity index (CVI) range of items was between 0.882 and 1.000. The scale-level-CVI was 0.990. (2) Structure validity: The fitting indices were as follows: χ2/ⅆf =2.239, RMR = 0.049, RMSEA = 0.069, TLI = 0.893, CFI = 0.903, IFI = 0.904, PGFI = 0.674, and PNFI = 0.763. (3) Convergent validity: The composite reliability and average variance extracted (AVE) of the seven dimensions were between 0.876 and 0.920 and between 0.594 and 0.696. (4) Distinguish validity: The correlation coefficients were less than the square root of the AVE, except for self-decision behaviour, self-coping behaviour, and self-control behaviour. However, the fit index of the original three-factor model was better than that of the other new models, with significant differences (P < 0.001). (5) Calibration validity: The area under the curve was 0.860 or 0.898 when the scale was used to predict exclusive or any breastfeeding at 42 days. The correlation coefficients of the maternal breasting feeding evaluation scale, breastfeeding self-efficacy short-form scale, and the scale were 0.569 and 0.674, respectively. CONCLUSION: The newly developed mothers' breastfeeding behaviour scale within 6 weeks postpartum consists of 36 items belonging to seven dimensions with good reliability and validity and is a reliable and valid instrument to be used in future maternal breastfeeding behaviour assessments and interventions.

Effects of coping on nurses' mental health during the COVID-19 pandemic: Mediating role of social support and psychological resilience.

BACKGROUND: Fighting against the COVID-19 pandemic, front-line nurses were under unprecedented psychological pressure. Therefore, it is necessary to promptly evaluate the psychological status of nurses during the COVID-19 epidemic period. AIM: To investigate nurses' mental health during the COVID-19 pandemic, and to test the mediating role of social support and psychological resilience between coping and mental health. DESIGN: This was a descriptive, cross-sectional survey which used a structural equation model. METHOD: In total, 711 registered nurses were included. All participants were invited to complete a socio-demographic questionnaire, the general health questionnaire, the trait coping style questionnaire, the perceived social support scale and the Conner-Davidson Resilience scale. RESULTS: In total, 50.1% nurses had high risk of mental health. Positive coping positively affected social support and psychological resilience, while it negatively affected mental health. Negative coping negatively affected social support and psychological resilience, while it positively affected mental health. Social support positively affected psychological resilience, while it negatively affected mental health. In addition, social support mediated coping and psychological resilience, and coping and mental health. Moreover, psychological resilience negatively affected mental health, and it mediated coping and mental health.

Prevalence and risk factors of sub-health and circadian rhythm disorder of cortisol, melatonin, and temperature among Chinese midwives.

Objective: This study aimed to explore the influencing factors of sub-health and circadian rhythm disorder among midwives and whether circadian rhythm disorder was associated with sub-health. Methods: A multi-center cross-sectional study was conducted among 91 Chinese midwives from six hospitals through cluster sampling. Data were collected by demographic questionnaire, Sub-Health Measurement Scale version 1.0, and circadian rhythm detection. Minnesota single and population mean cosine methods were used to analyze the rhythm of cortisol, melatonin, and temperature. Binary logistic regression, nomograph model, and forest plot were performed to identify variables associated with midwives' sub-health. Results: There were 65 midwives with sub-health and 61, 78, and 48 midwives with non-validation of circadian rhythms of cortisol, melatonin, and temperature among 91 midwives, respectively. Midwives' sub-health was significantly related to age, duration of exercise, weekly working hours, job satisfaction, cortisol rhythm, and melatonin rhythm. Based on these six factors, the nomogram was presented with significant predictive performance for sub-health. Furthermore, cortisol rhythm was significantly associated with physical, mental, and social sub-health, whereas melatonin rhythm was significantly correlated with physical sub-health. Conclusion: Sub-health and circadian rhythm disorder were generally common among midwives. Nurse administrators are supposed to pay attention and take measures to prevent sub-health and circadian rhythm disorder among midwives.

Which mothers' breastfeeding behaviours within six weeks postpartum do health workers need to notice? Developing an indicator system based on the Delphi method and analytic hierarchy process.

OBJECTIVE: The six weeks postpartum is the high-incidence period of stopping breastfeeding. The clarity of the internal mechanism of behaviour was an effective way to promote breastfeeding. The aim was to reach a consensus on indicators what should be used and prioritised in evaluating mothers' breastfeeding behaviour within six weeks postpartum in order to provide a theoretical reference for health workers to take targeted strategies toward promoting breastfeeding practices. DESIGN: Two rounds of Delphi method and analytic hierarchy process was conducted in this study. The two-rounds Delphi was performed to select essential indicators and collect revised suggestion. The analytic hierarchy process was adopted for pairwise comparison to rank the significance of primary and secondary indicators. SETTING AND PARTICIPANTS: The panel included twenty experts with rich breastfeeding information and different general characteristics from China. FINDINGS: Consensus was achieved to include three primary indicators, seven secondary indicators, and forty-five tertiary indicators in the final indicators system of the mothers' breastfeeding behaviour within six weeks postpartum. The weight sequence of primary indicators was self-regulation behaviour (0.401), at-the-breast feeding behaviour (0.383), and resource utilisation behaviour (0.216). The rank of the secondary indicators was breastfeeding operation skills (0.267), self-decision behaviour (0.144), self-control behaviour (0.130), self-coping behaviour (0.127), breastfeeding self-perception (0.116), resource acquisition behaviour (0.115), and resource coordination behaviour (0.101). KEY CONCLUSION: The study builds a new and reliable indicators system that intuitively reflects the constituent elements of the mothers' breastfeeding behaviour within six weeks postpartum and provides priorities in primary indicators and secondary indicators. IMPLICATIONS FOR PRACTICES: The study helps form a clear and scientific cognition on mothers' breastfeeding behaviour within six weeks postpartum and provides a new perspective and intuitive theoretical reference for health workers to take targeted measures to promote breastfeeding practices and achieve substantial public health gains.

Mediating effect of resilience between social support and compassion fatigue among intern nursing and midwifery students during COVID-19: a cross-sectional study.

AIMS: To examine the mediating effect of resilience between social support and compassion fatigue among intern nursing and midwifery students during COVID-19. BACKGROUND: Compassion fatigue has become exceedingly common among intern nursing and midwifery students, especially during the COVID-19 pandemic. Social support and resilience can help intern nursing and midwifery students control their negative emotions, reduce compassion fatigue, and increase their well-being. However, the mediating effect of resilience between social support and compassion fatigue remains unclear. DESIGN: A multicentre cross-sectional survey. METHODS: A total of 307 intern nursing and midwifery students were recruited from November 2020 to February 2021 in tertiary grade A hospitals in China. Structural equation modelling was applied to analyse the mediating effects of resilience between social support and compassion fatigue. The Social Support Rating Scale, the 10-item Connor-Davidson Resilience Scale, and the Chinese version of the Compassion Fatigue Short Scale were used to collect data. The hypothetical path model was tested by using IBM SPSS version 26.0 and AMOS version 26.0 software. RESULTS: Intern nursing and midwifery students had moderate compassion fatigue. Social support positively affected resilience (ß = 0.514, p < 0.01). Social support negatively affected compassion fatigue (ß = - 0.310, p < 0.01), while resilience negatively affected compassion fatigue (ß = - 0.283, p < 0.01). Resilience played a mediating role between social support and compassion fatigue. CONCLUSION: Social support can directly affect the compassion fatigue of intern nursing and midwifery students during COVID-19 and indirectly through resilience. Stronger resilience can reduce compassion fatigue. Accordingly, resilience-based interventions should be developed to reduce compassion fatigue.

Mothers' breastfeeding six weeks postpartum and factors influencing exclusive breastfeeding during the first six months.

We aimed to assess the feeding pattern and influencing factors within six weeks postpartum on exclusive breastfeeding duration among Chinese mothers. This study was conducted using 2:1 matched case-control study. Cases and controls were matched for maternal age, parity and mode of birth. A total of 210 women were included. Approximately 67.9% of women stopped exclusive breastfeeding within the first six weeks postpartum. Maternal non-exclusive breastfeeding intention, lower maternal educational level, mother-infant skin to skin contact over one hour, unsatisfied breastfeeding self-evaluation and maternal unhealthy condition within the first six weeks were risk factors for ceasing exclusive breastfeeding early.