Physical activity and health-related quality of life during pregnancy: a secondary analysis of a cluster-randomised trial

Maternal Social Loneliness Detection Using Passive Sensing Through Continuous Monitoring in Everyday Settings: Longitudinal Study

BACKGROUND

Maternal loneliness is associated with adverse physical and mental health outcomes for both the mother and her child. Detecting maternal loneliness noninvasively through wearable devices and passive sensing provides opportunities to prevent or reduce the impact of loneliness on the health and well-being of the mother and her child.

OBJECTIVE

The aim of this study is to use objective health data collected passively by a wearable device to predict maternal (social) loneliness during pregnancy and the postpartum period and identify the important objective physiological parameters in loneliness detection.

METHODS

We conducted a longitudinal study using smartwatches to continuously collect physiological data from 31 women during pregnancy and the postpartum period. The participants completed the University of California, Los Angeles (UCLA) loneliness questionnaire in gestational week 36 and again at 12 weeks post partum. Responses to this questionnaire and background information of the participants were collected through our customized cross-platform mobile app. We leveraged participants' smartwatch data from the 7 days before and the day of their completion of the UCLA questionnaire for loneliness prediction. We categorized the loneliness scores from the UCLA questionnaire as loneliness (scores≥12) and nonloneliness (scores<12). We developed decision tree and gradient-boosting models to predict loneliness. We evaluated the models by using leave-one-participant-out cross-validation. Moreover, we discussed the importance of extracted health parameters in our models for loneliness prediction.

RESULTS

The gradient boosting and decision tree models predicted maternal social loneliness with weighted F1-scores of 0.897 and 0.872, respectively. Our results also show that loneliness is highly associated with activity intensity and activity distribution during the day. In addition, resting heart rate (HR) and resting HR variability (HRV) were correlated with loneliness.

CONCLUSIONS

Our results show the potential benefit and feasibility of using passive sensing with a smartwatch to predict maternal loneliness. Our developed machine learning models achieved a high F1-score for loneliness prediction. We also show that intensity of activity, activity pattern, and resting HR and HRV are good predictors of loneliness. These results indicate the intervention opportunities made available by wearable devices and predictive models to improve maternal well-being through early detection of loneliness.

Fatigue During Pregnancy: A Bibliometric Analysis

OBJECTIVE

This study uses a systematic review with bibliometric analysis methods to investigate the characteristics of the most cited research papers in the field of nursing fatigue and pregnancy.

METHODS

In the Web of Science (WoS) database. We used the keywords "fatigue" and "pregnancy" to search for articles published from 2000 to 2020, limited to SSCI and Science Citation Index (SCI) journal-type articles. This study identifies the most cited studies in the WoS database based on PRISMA guidelines (Preferred reporting items for systematic reviews and meta-analyses). These studies form the research data, then visualized and analyzed using a retrospective bibliometric analysis and VOSviewer.

RESULTS

The studies in the dataset were analyzed in 319 different journals in 51 countries between 2000 and 2020. The study was found that the United States (US) was the country with the highest yield. The most frequent keywords were postpartum, depression, sleep, and postpartum depression.

CONCLUSION

The research results further laid the foundation of bibliometrics for scholars and identified researchers, scientific journals, countries, and hot topics for fatigue-related pregnancy literature. Journals with high impact factors contain the most cited research and open new horizons for research in the nursing field of pregnancy-related fatigue, thus providing research inspiration for investigators in this field.

Associations of objectively measured physical activity and sedentary time with pregnancy-specific health-related quality of life

PURPOSE

To examine associations of objectively measured moderate-to-vigorous-intensity physical activity (MVPA) and sedentary behavior (SED) with pregnancy-specific health-related quality of life (QoL) across pregnancy trimesters.

MATERIALS AND METHODS

Women (N=131, mean age 30.9 years ± 4.9) were recruited from two large health care systems in the United States. MVPA and SED were estimated using a waist-worn ActiGraph GT3X and thigh-worn activPAL3 micro, respectively, for seven days in each trimester of pregnancy. Questionnaires were administered in each trimester to assess pregnancy-specific health-related QoL using the Nausea and Vomiting of Pregnancy Specific health Related Quality of Life (NVPQoL) questionnaire. Mixed effects linear regression examined associations of MVPA and SED with the NVPQoL total score and domain-specific scores (physical symptoms, fatigue, emotions, and limitations) across trimesters.

RESULTS

The NVPQoL total score and domain-specific scores significantly varied across trimesters, with highest scores (indicating worse QoL) observed in the first trimester and lowest scores (indicating better QoL) in the second trimester. A 1-standard deviation (SD) increment in MVPA (16.0 min/day or 1.8%) was associated with better QoL as indicated by the lower NVPQoL total score (β=-4.06, p=0.024) and limitations score (β = -2.80, p<0.001). A 1-SD increment in SED (1.5 hr/day or 10.0%) was associated with worse QoL as indicated by the higher fatigue score (β = 0.82, p=0.041).

CONCLUSIONS

Pregnancy-specific health-related QoL varies across trimesters. Both lower SED, and to a greater extent higher MVPA are potential behavioral targets for improving pregnancy-specific health-related QoL.

The associations of pregnancy-related symptoms with health-related quality of life at midpregnancy: the PregnActive project

AIM

To analyze the associations between the wide range of pregnancy-related symptoms and health-related quality of life.

MATERIAL AND METHODS

A cross-sectional study was developed among 155 healthy low-risk pregnant women, aged 18-45 years, participated in the study at midpregnancy. Health-related quality of life and pregnancy symptoms were assessed using the Medical Outcome Study 36-item short form questionnaire and the Pregnancy Symptoms Inventory, respectively. Simple correlations, hierarchical linear regressions and standard multiple regressions were performed.

RESULTS

Significant correlations, after adjusting for sociodemographic and anthropometric characteristics, were found between five pregnancy-related symptoms and physical component of health-related quality of life and between thirteen pregnancy-related symptoms and mental component. However, when all pregnancy symptoms were entered simultaneously into a multiple regression model, back pain and shortness of breath on the physical components, and feeling depressed and anxiety on the mental component were the main explanatory factors of health-related quality of life.

CONCLUSION

Among the wide range of pregnancy-related symptoms, back pain, hip or pelvic pain, shortness of breath, and feeling depressed and anxiety are the main symptoms affecting the physical and the mental components of health-related quality of life, respectively. An early detection of the pregnancy-related symptoms that may affect health-related quality of life enables early interventions aimed at ameliorating their negative impact on health-related quality of life and daily living activities at midpregnancy.

Pregnant women's daily patterns of well-being before and during the COVID-19 pandemic in Finland: Longitudinal monitoring through smartwatch technology

BACKGROUND

Technology enables the continuous monitoring of personal health parameter data during pregnancy regardless of the disruption of normal daily life patterns. Our research group has established a project investigating the usefulness of an Internet of Things-based system and smartwatch technology for monitoring women during pregnancy to explore variations in stress, physical activity and sleep. The aim of this study was to examine daily patterns of well-being in pregnant women before and during the national stay-at-home restrictions related to the COVID-19 pandemic in Finland.

METHODS

A longitudinal cohort study design was used to monitor pregnant women in their everyday settings. Two cohorts of pregnant women were recruited. In the first wave in January-December 2019, pregnant women with histories of preterm births (gestational weeks 22-36) or late miscarriages (gestational weeks 12-21); and in the second wave between October 2019 and March 2020, pregnant women with histories of full-term births (gestational weeks 37-42) and no pregnancy losses were recruited. The final sample size for this study was 38 pregnant women. The participants continuously used the Samsung Gear Sport smartwatch and their heart rate variability, and physical activity and sleep data were collected. Subjective stress, activity and sleep reports were collected using a smartphone application developed for this study. Data between February 12 to April 8, 2020 were included to cover four-week periods before and during the national stay-at-home restrictions. Hierarchical linear mixed models were exploited to analyze the trends in the outcome variables.

RESULTS

The pandemic-related restrictions were associated with changes in heart rate variability: the standard deviation of all normal inter-beat intervals (p = 0.034), low-frequency power (p = 0.040) and the low-frequency/high-frequency ratio (p = 0.013) increased compared with the weeks before the restrictions. Women's subjectively evaluated stress levels also increased significantly. Physical activity decreased when the restrictions were set and as pregnancy proceeded. The total sleep time also decreased as pregnancy proceeded, but pandemic-related restrictions were not associated with sleep. Daily rhythms changed in that the participants overall started to sleep later and woke up later.

CONCLUSIONS

The findings showed that Finnish pregnant women coped well with the pandemic-related restrictions and lockdown environment in terms of stress, physical activity and sleep.

Walking in pregnancy and prevention of insomnia in third trimester using pedometers: study protocol of Walking_Preg project (WPP). A randomized controlled trial

BACKGROUND

Previous studies in pregnancy have not focused in evaluating the effect of walking during pregnancy and prevention of insomnia. Our general objective is to determine the effect of a walking program in preventing the appearance of insomnia in the third trimester of pregnancy, increasing sleep quality and improving quality of life throughout pregnancy.

METHODS

Randomized Controlled trial in parallel in healthy sedentary pregnant women (n = 265), Walking_Preg Project (WPP), from university hospital in Granada, Spain. At 12th gestational week (GW), they will be invited to participate and randomly assigned to one of the three arms of study: the intervention group I1 (pedometer, goal of 11,000 steps/day), intervention group I2 (pedometer, no goal) and control (no pedometer). Duration of intervention: 13-32 GW. At 12th, 19th and 31st GW the average steps/day will be measured in groups I1 and I2. At 13th, 20th and 32nd GW, Athens Insomnia Scale (AIS), Pittsburgh Sleep Quality Index (PSQI), Adherence to Mediterranean Diet (AMD), physical activity (short IPAQ), quality of life (PSI), and consumption of toxic substances (caffeine, illegal drugs, alcohol and tobacco) will be collected. Student t test or Mann-Whitney U will be used to compare 19th and 31st GW mean of daily steps between I1 and I2 groups. To compare differences between groups in terms of frequency of insomnia/quality of life for each trimester of pregnancy, Pearson's Chi-square test or Fisher's exact test will be used. To determine differences in hours of sleep and quality of sleep throughout each trimester of pregnancy, analysis of variance or Friedman test will be used. McNemar-Bowker test will be used to assess differences in life quality in pre-post analyses in the 3 arms. We will use Stata 15 statistical software.

DISCUSSION

promoting walking in second half of pregnancy through use of pedometer and health pre-registration of a goal to be achieved -'10,000-11,000 steps a day'- should prevent appearance of insomnia in third trimester, will increase sleep quality and quality of life in pregnant women.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT03735381 . Registered 8th November, 2018.

Continuous 7-Month Internet of Things-Based Monitoring of Health Parameters of Pregnant and Postpartum Women: Prospective Observational Feasibility Study

BACKGROUND

Monitoring during pregnancy is vital to ensure the mother's and infant's health. Remote continuous monitoring provides health care professionals with significant opportunities to observe health-related parameters in their patients and to detect any pathological signs at an early stage of pregnancy, and may thus partially replace traditional appointments.

OBJECTIVE

This study aimed to evaluate the feasibility of continuously monitoring the health parameters (physical activity, sleep, and heart rate) of nulliparous women throughout pregnancy and until 1 month postpartum, with a smart wristband and an Internet of Things (IoT)-based monitoring system.

METHODS

This prospective observational feasibility study used a convenience sample of 20 nulliparous women from the Hospital District of Southwest Finland. Continuous monitoring of physical activity/step counts, sleep, and heart rate was performed with a smart wristband for 24 hours a day, 7 days a week over 7 months (6 months during pregnancy and 1 month postpartum). The smart wristband was connected to a cloud server. The total number of possible monitoring days during pregnancy weeks 13 to 42 was 203 days and 28 days in the postpartum period.

RESULTS

Valid physical activity data were available for a median of 144 (range 13-188) days (75% of possible monitoring days), and valid sleep data were available for a median of 137 (range 0-184) days (72% of possible monitoring days) per participant during pregnancy. During the postpartum period, a median of 15 (range 0-25) days (54% of possible monitoring days) of valid physical activity data and 16 (range 0-27) days (57% of possible monitoring days) of valid sleep data were available. Physical activity decreased from the second trimester to the third trimester by a mean of 1793 (95% CI 1039-2548) steps per day (P<.001). The decrease continued by a mean of 1339 (95% CI 474-2205) steps to the postpartum period (P=.004). Sleep during pregnancy also decreased from the second trimester to the third trimester by a mean of 20 minutes (95% CI -0.7 to 42 minutes; P=.06) and sleep time shortened an additional 1 hour (95% CI 39 minutes to 1.5 hours) after delivery (P<.001). The mean resting heart rate increased toward the third trimester and returned to the early pregnancy level during the postpartum period.

CONCLUSIONS

The smart wristband with IoT technology was a feasible system for collecting representative data on continuous variables of health parameters during pregnancy. Continuous monitoring provides real-time information between scheduled appointments and thus may help target and tailor pregnancy follow-up.

International Fitness Scale-IFIS: Validity and association with health-related quality of life in pregnant women

This study aimed (a) to examine the construct validity of the International Fitness Scale (IFIS) to discriminate between different objectively measured physical fitness levels in pregnant women and (b) to assess the extent to which IFIS is able to discriminate between pregnant women with different levels of health-related quality of life (HRQoL). A total of 159 pregnant women were involved in the GESTAtion and FITness project: 106 pregnant women (mean age 32.7, SD 4.4 years) were included. Self-reported physical fitness-that is, cardiorespiratory fitness, muscular strength, flexibility, and overall fitness-was assessed with the IFIS. Physical fitness was objectively measured using the Bruce test, the handgrip strength test and the back-scratch test. The HRQoL was assessed with the 36-item Short Form Health Survey (SF-36). Higher self-reported physical fitness measured with IFIS was associated with higher objectively measured physical fitness (P < .05). There was a linear association so that higher self-reported physical fitness (ie, IFIS; regardless of the fitness component) was related to greater General Health dimension scores (P < .05). Moreover, higher self-reported physical fitness (all components except muscular strength) was associated with better Physical Functioning, lower Bodily Pain and higher Vitality scores (ie, SF-36 components). This linear trend was not seen for objectively measured physical fitness. The results of this study suggest that IFIS might be a useful tool for identifying pregnant women with low or very low physical fitness and with low quality of life health-related. Further research should elucidate whether IFIS can identify women with pregnancy complications before it can be implemented in clinical practice.

Physical Activity and Sleep Quality and Duration During Pregnancy Among Hispanic Women: Estudio PARTO

Objective/Background: Poor sleep during pregnancy is common and is associated with pregnancy complications. Physical activity (PA) is associated with better sleep in nonpregnant populations. However, studies among pregnant women are sparse, conflicting, and none have been conducted among Hispanic women, who face a disproportionate burden of poor sleep and pregnancy complications. Therefore, our objective was to examine the relationship between intensity- and domain-specific PA, respectively, on sleep quality and duration among Hispanic pregnant women. Participants: We evaluated these associations among participants (n = 251) in Estudio PARTO, an ongoing randomized controlled trial aimed at reducing type 2 diabetes among women at high risk. Methods: We assessed the cross-sectional relationship between PA (via Pregnancy PA Questionnaire) and sleep quality and duration (via Pittsburgh Sleep Quality Index) using baseline data (26.5 ± 6.9 weeks gestation). Results: In multivariable logistic models, household and caregiving activities were associated with higher odds of very poor sleep quality (OR = 2.69; 95% CI = 1.04 to 7.04) and with short (vs. medium) sleep duration (OR = 2.85; 95% CI = 1.07 to 7.56). In contrast, occupational PA was associated with lower odds of very poor sleep quality (OR = 0.39; 95% CI = 0.17 to 0.89). Light-intensity PA was associated with lower odds of long (vs. medium) sleep duration (OR = 0.13; 95% CI = 0.03 to 0.52). There were no statistically significant relationships between PA in any other domain and sleep. Conclusions: Prospective studies will be critical in evaluating the potential adverse impact of household and caregiving activities on poor sleep quality.

Feasibility of a Sleep Self-Management Intervention in Pregnancy Using a Personalized Health Monitoring Device: Protocol for a Pilot Randomized Controlled Trial

Background

Sleep disruptions are common during pregnancy and associated with increased risk of adverse maternal outcomes such as preeclampsia, gestational diabetes, prolonged labor, and cesarean birth. Given the morbidity associated with poor sleep, cost-effective approaches to improving sleep that can be disseminated in community or clinical settings are needed. Personal health monitor (PHM) devices offer an opportunity to promote behavior change, but their acceptability and efficacy at improving sleep in pregnant women are unknown.

Objective

The goal of the paper is to describe the protocol for an ongoing pilot randomized controlled trial that aims to establish the feasibility, acceptability, and preliminary efficacy of using a PHM device (Shine 2, Misfit) to promote sleep during pregnancy.

Methods

The proposed pilot study is a 12-week, parallel arm, randomized controlled trial. Pregnant women, at 24 weeks gestation, will be randomized at a 1:1 ratio to a 12-week sleep education plus PHM device group or a sleep education alone comparison group. The primary outcomes will be measures of feasibility (ie, recruitment, enrollment, adherence) and acceptability (ie, participant satisfaction). The secondary outcomes will be self-reported sleep quality and duration, excessive daytime sleepiness, fatigue, and depressive symptoms.

Results

Recruitment for this study began in September 2017 and ended in March 2018. Data collection for the primary and secondary aims was completed in August 2018. We anticipate that the data analysis for primary and secondary aims will be completed by December 2019. The results from this trial will inform the development of a larger National Institutes of Health grant application to test the efficacy of an enhanced version of the sleep intervention that we plan to submit in the year 2020.

Conclusions

This study will be the first to apply a PHM device as a tool for promoting self-management of sleep among pregnant women. PHM devices have the potential to facilitate behavioral interventions because they include theory-driven, self-regulatory techniques such as behavioral self-monitoring. The results of the study will inform the development of a sleep health intervention for pregnant women.

Trial Registration

ClinicalTrials.gov NCT03783663; https://clinicaltrials.gov/ct2/show/NCT03783663 (Archived by WebCite at http://www.webcitation.org/779Ou8hon)

International Registered Report Identifier (IRRID)

DERR1-10.2196/12455

Structural Equation Modeling on Effects of Community Empowerment and Supplementary Feeding on Health Status and Nutritional Status of Pregnant Women

Introduction: rates of health problems related to a chronic lack of energy in pregnant women in Indonesia remain prevalence. This study aimed to develop community empowerment and supplementary feeding on health status and nutritional status among pregnant women.Methods: the sample included 189 pregnant women living in the six villages in the Jember District. The research used a cluster random sampling technique. The variables included community empowerment, supplementary feeding, health status, and nutritional status of pregnant women. Data analysis was performed using structural equation modeling (SEM) with parameter data estimation using software (Analysis of Moment Structures (AMOS) version 21).Results: estimations of the direct effects were as follows: community empowerment on health status  (0.224), supplementary feeding on health status (0.169), health status on nutritional status of pregnant women (0.001), community empowerment on nutritional status of pregnant women (2.857), supplementary feeding on nutritional status of pregnant women (-0.537), community empowerment on nutritional status of pregnant women through health status (0.000), supplementary feeding on nutritional status of pregnant women through health status (0.000), community empowerment on health status (0.224), supplementary feeding on health status (0.169).Conclusion: community empowerment remains an important key in improving the engagement of women in maternal health issues. Combined intervention with supplementary feeding based on locality may improve the health outcomes.

Relationships between Physical Activity and Quality of Life in Pregnant Women in the Second and Third Trimester

BACKGROUND

The problem of an inadequate level of physical activity (PA) is important in the context of its relationship with the quality of life (QoL) of pregnant women. The aim of this study was to analyze the relationships between PA and QoL among pregnant women.

METHODS

The study analyzed 346 questionnaires filled in by pregnant women (157 in the second trimester and 189 in the third). The tool used for assessment of PA was the Pregnancy Physical Activity Questionnaire-Polish version (PPAQ-PL). The quality of life (QoL) was assessed by the World Health Organization Quality of Life Questionnaire-short form (WHOQoL-Bref). The results obtained from the PPAQ-PL and WHOQoL-Bref questionnaires for women in the second and third trimesters of pregnancy and intergroup differences were analyzed.

RESULTS

There was a significant correlation in the group of women in the second trimester of pregnancy between quality of life in the physical health domain and the intensity and type of physical activity. The women who rated their quality of life higher in this domain declared higher energy expenditures (EE) associated with vigorous activity (R = 0.159, p ≤ 0.05), as well as with occupational activity (R = 0.166; p ≤ 0.05) and sport/exercise activity (R = 0.187; p ≤ 0.05). In women in the third trimester, higher EE related to sport/exercise activity coincided with higher assessments of the overall quality of life (R = 0.149, p ≤ 0.05) and general health (R = 0.170, p ≤ 0.05). In the case of the psychological domain (R = 0.161, p ≤ 0.05) and social relationship domain (R = 0.188; p ≤ 0.05) of QoL, positive correlations occurred with EE related to vigorous activity. In contrast, high assessment of physical health domain coincided with higher EE related to occupational activity (R = 0.174; p ≤ 0.05).

CONCLUSIONS

Our study makes an important contribution to knowledge concerning the correlations between PA and QoL in pregnancy. The results suggest the need for improvement in prenatal care and promotion of PA programs for pregnant women.

Prenatal stress and the development of psychopathology: Lifestyle behaviors as a fundamental part of the puzzle

Maternal psychological stress, depression, and anxiety during pregnancy (prenatal stress; PNS) are thought to impact fetal development with long-term effects on offspring outcome. These effects would include physical and mental health, including psychopathology. Maternal sleep, diet, and exercise during pregnancy are lifestyle behaviors that are understudied and often solely included in PNS studies as confounders. However, there are indications that these lifestyle behaviors may actually constitute essential mediators between PNS and fetal programming processes. The goal of this theoretical review was to investigate this idea by looking at the evidence for associations between PNS and sleep, diet, and exercise, and by piecing together the information on potential underlying mechanisms and causal pathways through which these factors may affect the offspring. The analysis of the literature led to the conclusion that sleep, diet, and exercise during pregnancy, may have fundamental roles as mediators between PNS and maternal pregnancy physiology. By integrating these lifestyle behaviors into models of prenatal programming of development, a qualitatively higher and more comprehensive understanding of the prenatal origins of psychopathology can be obtained. The review finalizes by discussing some of the present challenges facing the field of PNS and offspring programming, and offering solutions for future research.

Explanatory factors and levels of health-related quality of life among healthy pregnant women at midpregnancy: A cross-sectional study of The PregnActive Project

AIMS

To identify potential explanatory factors and establish health-related quality of life (HRQoL) levels of healthy pregnant women at midpregnancy.

BACKGROUND

The HRQoL levels perceived by pregnant women are lower than those perceived by women of similar age and decline during the course of pregnancy.

DESIGN

An exploratory cross-sectional design was used.

METHODS

One hundred thirty-four healthy women from antenatal clinics completed questionnaires were administered a cardiorespiratory fitness (CRF) test and wore a multisensor body monitor for 7 days at midpregnancy. Data were collected from September 2015-December 2016.

RESULTS

Cardiorespiratory fitness, musculoskeletal symptoms, and age were identified as explanatory factors of the physical component summary of HRQoL. Explanatory factors of the mental component summary included musculoskeletal and psychological symptoms and light activity. Significant differences in HRQoL levels were identified among groups of pregnant women stratified by age, occupational status, pregnancy symptoms, and CRF.

CONCLUSIONS

Modifiable factors of HRQoL, such as CRF and active lifestyle may be important areas to target in interventions aimed at promoting HRQoL in healthy women at midpregnancy. The identification of the groups of pregnant women with lower levels of HRQoL may help midwives and health professional to focus their advice and conduct interventions on these groups of pregnant women. These modifiable factors should be considered in future longitudinal studies to determine causal effects, will likely help improve multidisciplinary treatments.

Trajectories and predictors of women's health-related quality of life during pregnancy: A large longitudinal cohort study

The objective of this study was to identify distinct trajectories and their predictors of health-related quality of life (HRQOL) of women during pregnancy in a prospective mother and child cohort. Analyses were based on 3936 Dutch pregnant women in Rotterdam area, the Netherlands. Information on potential predictors was collected in early pregnancy by questionnaire. Latent Class Mixture Modelling and Multinomial Logistic Regression were applied to assess the trajectory and predictors of HRQOL during pregnancy. HRQOL was measured by SF-12 in early, mid- and late pregnancy; physical and mental component summary (PCS-12/MCS-12) scores were calculated. Four physical HRQOL trajectories were identified: a healthy trajectory (‘healthy’) in 63.3%, consistently low (‘vulnerable’) in 10.8%; a small increase (‘recovering’) in 12.8% and a large decrease (‘at risk’) in 13.1%. Three mental HRQOL trajectories were identified: a healthy trajectory (‘healthy’) in 86.1%; a large increase (‘recovering’) in 7.5%; and a large decrease (‘at risk’) in 6.4%. Compared with healthy trajectories, the likelihood of following the ‘vulnerable’ physical HRQOL trajectory rather than a healthy trajectory was increased by daily fatigue(OR: 4.82[2.76, 8.40]), pelvic pain (OR:4.76[2.91, 7.78]) and back pain (OR:5.29[3.21, 8.70]); pregnancy-specific anxiety increased the likelihood of following the ‘at risk’ mental HRQOL trajectory (OR:7.95[4.84, 13.05]). Healthy physical and mental HRQOL trajectories during pregnancy were most common. Predictors indicative of poor HRQOL trajectories included pregnancy-related symptoms and anxiety.

The association of exercise during pregnancy with trimester-specific and postpartum quality of life and depressive symptoms in a cohort of healthy pregnant women

Few published studies have examined the relationship between exercise during pregnancy, quality of life (QOL), and postpartum depressive symptoms in healthy pregnant women. A prospective cohort of 578 healthy pregnant women were followed during their pregnancy through 6 months postpartum. Levels of self-reported exercise and QOL before, during, and following pregnancy were assessed using standardized questionnaires during each trimester of pregnancy and 6 months postpartum. Depressive symptoms were assessed using the Edinburgh Postnatal Depression Scale (EPDS) at 28 weeks gestation and 6 weeks postpartum. Participants were classified as having "sufficient exercise" if they achieved at least 150 min of exercise per week. Sufficient exercisers reported significantly higher ratings on most domains of QOL during each trimester of pregnancy and in the postpartum follow-up, compared with insufficient exercisers. There were no significant between-group differences in depressive symptoms. In examining the impact of exercise during each trimester, active women who became sedentary during their third trimester demonstrated a decline in their QOL. Achieving recommended levels of exercise during pregnancy was associated with higher QOL during pregnancy and the postpartum in healthy pregnant women. Decreasing the amount of exercise during pregnancy was associated with reduced QOL. These results suggest that it may be important for health care professionals to counsel healthy pregnant women about both the benefits of being physically active during pregnancy, and to provide guidance on how to remain physically active during a healthy pregnancy.

Combined diet and exercise interventions for preventing gestational diabetes mellitus

BACKGROUND

Gestational diabetes mellitus (GDM) is associated with a wide range of adverse health consequences for women and their infants in the short and long term. With an increasing prevalence of GDM worldwide, there is an urgent need to assess strategies for GDM prevention, such as combined diet and exercise interventions. This is an update of a Cochrane review that was first published in 2015.

OBJECTIVES

To assess the effects of diet interventions in combination with exercise interventions for pregnant women for preventing GDM, and associated adverse health consequences for the mother and her infant/child.

SEARCH METHODS

We searched the Cochrane Pregnancy and Childbirth Group's Trials Register (27 November 2016) and reference lists of retrieved studies.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) and cluster-RCTs, comparing combined diet and exercise interventions with no intervention (i.e. standard care), that reported on GDM diagnosis as an outcome. Quasi-RCTs were excluded. Cross-over trials were not eligible for inclusion. We planned to include RCTs comparing two or more different diet/exercise interventions, however none were identified.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed study eligibility, extracted data, assessed the risk of bias of the included trials and assessed quality of evidence for selected maternal and infant/child outcomes using the GRADE approach. We checked data for accuracy.

MAIN RESULTS

In this update, we included 23 RCTs (involving 8918 women and 8709 infants) that compared combined diet and exercise interventions with no intervention (standard care). The studies varied in the diet and exercise programs evaluated and health outcomes reported. None reported receiving funding from a drug manufacturer or agency with interests in the results. Overall risk of bias was judged to be unclear due to the lack of methodological detail reported. Most studies were undertaken in high-income countries.For our primary review outcomes, there was a possible reduced risk of GDM in the diet and exercise intervention group compared with the standard care group (average risk ratio (RR) 0.85, 95% confidence interval (CI) 0.71 to 1.01; 6633 women; 19 RCTs; Tau² = 0.05; I² = 42%; P = 0.07; moderate-quality evidence). There was also a possible reduced risk of caesarean section (RR 0.95, 95% CI 0.88 to 1.02; 6089 women; 14 RCTs; moderate-quality evidence). No clear differences were seen between groups for pre-eclampsia (RR 0.98, 95% CI 0.79 to 1.22; 5366 participants; 8 RCTs; low-quality evidence), pregnancy-induced hypertension and/or hypertension (average RR 0.78, 95% CI 0.47 to 1.27; 3073 participants; 6 RCTs; Tau² = 0.19; I² = 62%; very low-quality evidence), perinatal mortality (RR 0.82, 95% CI 0.42 to 1.63; 3757 participants; 2 RCTs; low-quality evidence) or large-for-gestational age (RR 0.93, 95% CI 0.81 to 1.07; 5353 participants; 11 RCTs; low-quality evidence). No data were reported for infant mortality or morbidity composite.Subgroup analyses (based on trial design, maternal body mass index (BMI) and ethnicity) revealed no clear differential treatment effects. We were unable to assess the impact of maternal age, parity and specific features of the diet and exercise interventions. Findings from sensitivity analyses (based on RCT quality) generally supported those observed in the main analyses. We were not able to perform subgroup analyses based on maternal age, parity or nature of the exercise/dietary interventions due to the paucity of information/data on these characteristics and the inability to meaningfully group intervention characteristics.For most of the secondary review outcomes assessed using GRADE, there were no clear differences between groups, including for perineal trauma (RR 1.27, 95% CI 0.78 to 2.05; 2733 participants; 2 RCTs; moderate-quality evidence), neonatal hypoglycaemia (average RR 1.42, 95% CI 0.67 to 2.98; 3653 participants; 2 RCTs; Tau² = 0.23; I² = 77%; low quality evidence); and childhood adiposity (BMI z score) (MD 0.05, 95% CI -0.29 to 0.40; 794 participants; 2 RCTs; Tau² = 0.04; I² = 59%; low-quality evidence). However, there was evidence of less gestational weight gain in the diet and exercise intervention group compared with the control group (mean difference (MD) -0.89 kg, 95% CI -1.39 to -0.40; 5052 women; 16 RCTs; Tau² = 0.37; I² = 43%;moderate-quality evidence). No data were reported for maternal postnatal depression or type 2 diabetes; childhood/adulthood type 2 diabetes, or neurosensory disability.

AUTHORS' CONCLUSIONS

Moderate-quality evidence suggests reduced risks of GDM and caesarean section with combined diet and exercise interventions during pregnancy as well as reductions in gestational weight gain, compared with standard care. There were no clear differences in hypertensive disorders of pregnancy, perinatal mortality, large-for-gestational age, perineal trauma, neonatal hypoglycaemia, and childhood adiposity (moderate- tovery low-quality evidence).Using GRADE methodology, the evidence was assessed as moderate to very low quality. Downgrading decisions were predominantly due to design limitations (risk of bias), and imprecision (uncertain effect estimates, and at times, small sample sizes and low event rates), however two outcomes (pregnancy-induced hypertension/hypertension and neonatal hypoglycaemia), were also downgraded for unexplained inconsistency (statistical heterogeneity).Due to the variability of the diet and exercise components tested in the included studies, the evidence in this review has limited ability to inform practice. Future studies could describe the interventions used in more detail, if and how these influenced behaviour change and ideally be standardised between studies. Studies could also consider using existing core outcome sets to facilitate more standardised reporting.

Associations between quality of life, physical activity, worry, depression and insomnia: A cross-sectional designed study in healthy pregnant women

Health-related quality of life (QOL) is reported to be reduced during pregnancy. Associations between QOL, physical activity (PA), insomnia, depression and worry are insufficiently investigated among pregnant women. The aim of this study was to evaluate QOL and PA patterns among healthy pregnant women, and to examine how QOL might correlate to PA, sleep, worry and depression. This is an observational cross-sectional study, conducted among a convenient sample of 141 healthy pregnant women using five questionnaires: WHOQOL-brief (WHO quality of life questionnaire, brief version, ISI (Insomnia Severity Index), PSWQ (Penn State Worry Questionnaire), ZSRDS (Zung Self-Rating Depression Scale), and Pregnancy Physical Activity Questionnaire (PPAQ). Pre-gestational BMI was inversely correlated to overall health while education was positively correlated to psychological health, social relationships and environment domains. Smoking before and during pregnancy significantly impacted the general health and psychological health. Total and light PA were positively correlated to psychological health and social relationships. Sports/exercise showed positive correlations with several QOL domains. Insomnia and depression were significantly associated with a decrease in all domains of QOL, while worries were associated with a decrease in physical, psychological and environmental domains. There were significant negative correlations between ZSRDS scores and total activity. PA, worries, depression and insomnia affected QOL during pregnancy. Furthermore, pregnant women presenting depression had a reduced total PA. Sleep and mental health as well as encouraging PA during pregnancy are necessary to improve the quality of life of pregnant women.

Evaluation of the quality of life of pregnant women from 2005 to 2015

Over the past two decades, quality of life has become an essential preoccupation in the care of patients. Many measuring instruments are available to assess physical, psychological and social quality of life. These tools allow healthcare professionals to determine the best quality of their patients. However, the quality of life for the pregnant woman seems to be little studied. This article presents the results of a bibliographic review of publications between 2005 and 2015 - referenced in PUBMED and COCHRANE - on the quality of life of pregnant women giving birth after the 22nd week of amenorrhea. The articles were selected by a reading committee. 195 publications responding to keywords were identified. 75 articles on the problem were selected. The main countries that have published on this subject are Iran (n=11) and Brazil (n=9). France ranks 17th with only one publication. 74% of articles deal with quality of life for pathological pregnancies (gestational or pre-existing pathologies). 23 pathologies were identified, mainly depression (20% of items). This review reveals a growing global interest in quality of life in pregnant women. However, few studies evaluate the impact of care in terms of quality of life in pregnant women, contrary to the recommendations of different health authorities. Finally, the analysis of the various articles shows that, in general, few measurements are made to evaluate the quality of life, not requiring a standardized curve of quality of life during pregnancy. There is thus a significant lack of data to establish a standardized curve for the quality of life of pregnant women, which allows a simple comparison of quality of life measures according to the different clinical management.

Cardiorespiratory fitness and health-related quality of life in women at risk for gestational diabetes

This study examined the associations of cardiorespiratory fitness (CRF) and leisure-time physical activity (LTPA) with health-related quality of life (HRQoL) in women at risk for gestational diabetes mellitus (GDM). The participants were 39 women planning pregnancy with a history of GDM and/or BMI >29 kg/m² . We assessed CRF by measuring maximal oxygen consumption (VO_2max ) during incremental cycle ergometer exercise until voluntary fatigue. LTPA was self-reported, and HRQoL assessed with the SF-36 Health Survey (SF-36). The mean (SD) VO_2max was 27 (6) mL·kg^-1 ·min^-1 , and the mean LTPA was 2.6 (1.7) h/wk. After controlling for BMI, VO_2max was positively associated with the SF-36 General Health scale (β 1.27, 95% CI: 0.09, 2.44, P=.035) and the Physical Component Summary (β 0.48, 95% CI: 0.14, 0.82, P=.007). The General Health scale (P=.023) and the Physical Component Summary (P=.011) differed even between those with very poor and poor CRF. After controlling for BMI, LTPA was positively associated with the SF-36 Physical Functioning scale (r_s =.34, P=.039), the General Health scale (β 3.74, 95% CI: 0.64, 6.84, P=.020), and the Physical Component Summary (β 1.13 95% CI: 0.19, 2.06, P=.020). To conclude, CRF and LTPA were positively associated with perceived general health and physical well-being in women planning pregnancy and at risk for GDM. Even a slightly better CRF would be beneficial for well-being among women with low levels of CRF.

Effects of supervised aerobic and strength training in overweight and grade I obese pregnant women on maternal and foetal health markers: the GESTAFIT randomized controlled trial

BACKGROUND

During pregnancy, a sedentary lifestyle may have negative consequences on maternal and foetal health status. The main objective of this project is to assess the effects of an exercise intervention in overweight and grade I obese pregnant on maternal and foetal health markers.

METHODS/DESIGN

The present study aims to recruit 60 overweight and grade I obese women interested in participating in an exercise intervention program from the 17th gestational week until delivery. Women will be randomized to either an exercise (three 60-min sessions/week of combined aerobic and strength training and pelvic floor exercises), or usual care (control) group (30 women per group). The primary outcome measures are maternal weight gain, and maternal and neonatal glycaemic profile. Secondary outcome measures are: i) perinatal obstetric records; i) body composition; iii) dietary patterns; iv) physical fitness; v) low-back pain; vi) objectively measured physical activity and sedentary behaviour; vii) haematology and biochemical analyses; viii) oxidative stress; ix) pro- and anti-inflammatory markers; x) bone health biomarkers; xi) sleep quality; xii) mental health, quality of life and positive health.

DISCUSSION

The findings of this project will help to identify strategies for primary prevention and health promotion based on this exercise-based intervention program among overweight and grade I obese pregnant women.

TRIAL REGISTRATION

NCT02582567 ; Date of registration: 20/10/2015.

Impact of pregnancy on back pain and body posture in women

[Purpose] The purpose of this single-center investigation was to study the impact of pregnancy on back pain and body posture. [Subjects] The subjects were 26 pregnant females. [Methods] Data were generated with a spine scanner (Diers(®) formetric 4D), trunk strength measurement (Diers(®) myoline), a numeric pain scale (0 to 10), and a biomechanical model. Parameters were compared during each trimester. [Results] The alteration in pain level at rest and lumbar lordosis angle in the females revealed a statistical trend during pregnancy. Spearman's test showed positive correlations between body weight and trunk inclination during the second trimester, and between body weight and the kyphosis angle in the third trimester. The trunk inclination and the kyphosis angle revealed a negative correlation in the third trimester. Based on our analysis, the highest moments and muscle strength must be expended in the third trimester. The actual muscle strength is greatest in the second trimester. [Conclusion] Pain at rest must be given greater attention in pregnant females, and their increasing lumbar kyphosis must be counteracted. Exercising the deep segmental muscles may serve as a preventive measure.

Benefits of aerobic or resistance training during pregnancy on maternal health and perinatal outcomes: A systematic review

OBJECTIVE

To understand what evidence exists with regard to maternal and offspring benefits of aerobic and/or resistance training during pregnancy.

METHODS

Systematic review of RCTs (published until May 2015) with healthy pregnant women and focusing on the benefits of exercise interventions on maternal health or perinatal outcomes. Studies were ranked as high/low quality, and a level of evidence was established according to the number of high-quality studies and consistency of the results.

RESULTS

61 RCTs were analyzed. The evidence for a benefit of combined exercise [aerobic+resistance (muscle strength)] interventions on maternal cardiorespiratory fitness and prevention of urinary incontinence was strong. A weak or insufficient level of evidence was found for the rest of interventions and outcomes

CONCLUSION

The exercise modality that seems to induce a more favorable effect on maternal health is the combination of aerobic and resistance exercises during pregnancy.

A cross-sectional study of antenatal depressive symptoms in women at high risk for gestational diabetes mellitus

OBJECTIVE

To examine differences in antenatal depressive symptoms between women at high risk for gestational diabetes mellitus (GDM) and pregnant women in the general population.

METHODS

We recruited pregnant women at high risk for GDM, based on a history of GDM and/or prepregnancy BMI ≥ 30 kg/m(2), (n = 482) and pregnant women in the general population (n = 358) before 20 weeks of gestation. Depressive symptoms were assessed by the Edinburgh Postnatal Depression Scale (EPDS).

RESULTS

Of the women at high risk for GDM, 17% had an EPDS score ≥ 10 (indicating risk for depression) compared to 11% of the pregnant women in the general population (p = .025). The mean EPDS score was also higher in the women at risk for GDM (5.5, SD 4.5 vs. 4.6, SD 3.9, p = .004, effect size 0.21 [95% CI: 0.07 to 0.34]). After adjusting for age, prepregnancy BMI and income, the difference between the groups was no longer significant either in the proportion of women having an EPDS score ≥ 10 (p = .59) or in the mean EPDS score (p=.39).

CONCLUSION

After controlling for age, prepregnancy BMI and income, women at high risk for GDM did not have greater depressive symptoms compared to pregnant women in the general population in early pregnancy.