scholarly journals Association of sleep quality during pregnancy with stress and depression: a prospective birth cohort study in China

2019 ◽  
Author(s):  
Ming Gao ◽  
Jiajin Hu ◽  
Liu Yang ◽  
Ning Ding ◽  
Xiaotong Wei ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Pregnant Women ◽  
Postnatal Depression ◽  
Regression Models ◽  
Antenatal Depression ◽  
Poor Sleep ◽  
Second Trimester ◽  
Poor Sleep Quality ◽  
Depression Status ◽  
Antenatal Stress

Abstract Background: The sleep quality of pregnant women in the third trimester is related to mental health. However, there is still a lack of large-scale cohort research exploring this relationship in the second trimester. Thus, we assessed the associations of sleep quality during the second trimester with antenatal stress and antenatal and postnatal depression. Methods: We examined 1152 pregnant women from a prospective cohort study in China to assess the associations of sleep quality in the second trimester with antenatal stress, antenatal depression, and postnatal depression. We used linear regression models and logistic regression models to examine the associations of sleep quality (Pittsburgh Sleep Quality Index [PSQI]) during pregnancy with perinatal stress (Pregnancy Pressure Scale [PPS]) and depression (Edinburgh Postnatal Depression Scale [EPDS]) status. We further assessed the relationship in groups divided according to maternal age. Results: PSQI scores were positively associated with antenatal PPS scores (β: 1.52, 95% confidence interval [CI]: 1.28, 1.76), antenatal EPDS scores (β: 0.68, 95% CI: 0.58, 0.78), and postpartum EPDS scores (β: 0.51, 95% CI: 0.38, 0.64). Poor sleep quality (PSQI scores ≥ 5) was associated with antenatal stress status (odds ratio [OR]: 2.60, 95% CI: 1.79, 3.77), antenatal depression status (OR: 3.42, 95% CI: 2.48, 4.72), and postpartum depression status (OR: 2.40, 95% CI: 1.58, 3.64) after adjusting maternal age, BMI, gestational age, smoking, educational level, annual household income and social support. The association of poor sleep quality (PSQI scores ≥ 5) in the second trimester with postnatal depression status was significant among women more than or equal to 30 years old (OR: 4.12, 95% CI: 2.18, 7.78) but not among women less than 30 years old after adjusting covariates above. Conclusion: Poor sleep quality in the second trimester among Chinese pregnant women is associated with stress and depression symptoms. Strategies to boost sleep quality should be considered during prenatal health care to improve women’s mental health status.

scholarly journals Association of sleep quality during pregnancy with stress and depression: a prospective birth cohort study in China

2019 ◽  
Author(s):  
Ming Gao ◽  
Jiajin Hu ◽  
Liu Yang ◽  
Ning Ding ◽  
Xiaotong Wei ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Pregnant Women ◽  
Postnatal Depression ◽  
Regression Models ◽  
Antenatal Depression ◽  
Poor Sleep ◽  
Second Trimester ◽  
Poor Sleep Quality ◽  
Depression Status ◽  
Antenatal Stress

Abstract Background: Sleep quality in the third trimester of pregnant women is related to mental health. However, There is still a lack of large-scale cohort research in the second trimester to confirms this relationship. We aim to assess the associations of sleep quality during the second trimester with antenatal stress and antenatal and postnatal depression. Methods: We examined 1152 pregnant women from a prospective cohort study in China to assess the associations of sleep quality in the second trimester with antenatal stress, antenatal depression, and postnatal depression. We used linear regression models and logistic regression models to examine the associations of sleep quality (Pittsburgh Sleep Quality Index [PSQI]) during pregnancy with perinatal stress (Pregnancy Pressure Scale [PPS]) and depression (Edinburgh Postnatal Depression Scale [EPDS]) status. We further assessed the relationship in groups divided according to age. Results: PSQI scores were positively associated with antenatal PPS scores (β: 1.52, 95% confidence interval [CI]: 1.28, 1.76), antenatal EPDS scores (β: 0.68, 95% CI: 0.58, 0.78), and postpartum EPDS scores (β: 0.51, 95% CI: 0.38, 0.64). Poor sleep quality was associated with antenatal stress status (odds ratio [OR]: 2.60, 95% CI: 1.79, 3.77), antenatal depression status (OR: 3.42, 95% CI: 2.48, 4.72), and postpartum depression status (OR: 2.40, 95% CI: 1.58, 3.64). The association of sleep quality in the second trimester with depression status was found in women older than 30 years old (OR: 4.12, 95% CI: 2.18, 7.78) and not in women younger than 30 years old. Conclusion: Poor sleep quality in the second trimester among Chinese pregnant women is associated with stress and depression symptoms. Strategies to boost sleep quality should be considered during prenatal health care to improve women’s mental health status.

scholarly journals Association of sleep quality during pregnancy with stress and depression: a prospective birth cohort study in China

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Ming Gao ◽  
Jiajin Hu ◽  
Liu Yang ◽  
Ning Ding ◽  
Xiaotong Wei ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Pregnant Women ◽  
Postnatal Depression ◽  
Regression Models ◽  
Antenatal Depression ◽  
Poor Sleep ◽  
Second Trimester ◽  
Poor Sleep Quality ◽  
Depression Status ◽  
Antenatal Stress

Abstract Background The sleep quality of pregnant women in the third trimester is related to mental health. However, there is still a lack of large-scale cohort research exploring this relationship in the second trimester. Thus, we assessed the associations of sleep quality during the second trimester with antenatal stress and antenatal and postnatal depression. Methods We examined 1152 pregnant women from a prospective cohort study in China to assess the associations of sleep quality in the second trimester with antenatal stress, antenatal depression, and postnatal depression. We used linear regression models and logistic regression models to examine the associations of sleep quality (Pittsburgh Sleep Quality Index [PSQI]) during pregnancy with perinatal stress (Pregnancy Pressure Scale [PPS]) and depression (Edinburgh Postnatal Depression Scale [EPDS]) status. We further assessed the relationship in groups divided according to maternal age. Results PSQI scores were positively associated with antenatal PPS scores (β: 1.52, 95% confidence interval [CI]: 1.28, 1.76), antenatal EPDS scores (β: 0.68, 95% CI: 0.58, 0.78), and postpartum EPDS scores (β: 0.51, 95% CI: 0.38, 0.64). Poor sleep quality (PSQI scores ≥5) was associated with antenatal stress status (odds ratio [OR]: 2.60, 95% CI: 1.79, 3.77), antenatal depression status (OR: 3.42, 95% CI: 2.48, 4.72), and postpartum depression status (OR: 2.40, 95% CI: 1.58, 3.64) after adjusting maternal age, BMI, gestational age, smoking, educational level, annual household income and social support. The association of poor sleep quality (PSQI scores ≥5) in the second trimester with postnatal depression status was significant among women more than or equal to 30 years old (OR: 4.12, 95% CI: 2.18, 7.78) but not among women less than 30 years old after adjusting covariates above. Conclusion Poor sleep quality in the second trimester among Chinese pregnant women is associated with stress and depression symptoms. Strategies to boost sleep quality should be considered during prenatal health care to improve women’s mental health status.

scholarly journals Association of sleep quality during pregnancy with stress and depression: a prospective birth cohort study in China

2019 ◽  
Author(s):  
Ming Gao ◽  
Jiajin Hu ◽  
Liu Yang ◽  
Ning Ding ◽  
Xiaotong Wei ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Pregnant Women ◽  
Postnatal Depression ◽  
Regression Models ◽  
Antenatal Depression ◽  
Poor Sleep ◽  
Second Trimester ◽  
Poor Sleep Quality ◽  
Depression Status ◽  
Antenatal Stress

Abstract Background: The sleep quality of pregnant women in the third trimester is related to mental health. However, there is still a lack of large-scale cohort research exploring this relationship in the second trimester. Thus, we assessed the associations of sleep quality during the second trimester with antenatal stress and antenatal and postnatal depression. Methods: We examined 1152 pregnant women from a prospective cohort study in China to assess the associations of sleep quality in the second trimester with antenatal stress, antenatal depression, and postnatal depression. We used linear regression models and logistic regression models to examine the associations of sleep quality (Pittsburgh Sleep Quality Index [PSQI]) during pregnancy with perinatal stress (Pregnancy Pressure Scale [PPS]) and depression (Edinburgh Postnatal Depression Scale [EPDS]) status. We further assessed the relationship in groups divided according to maternal age. Results: PSQI scores were positively associated with antenatal PPS scores (β: 1.52, 95% confidence interval [CI]: 1.28, 1.76), antenatal EPDS scores (β: 0.68, 95% CI: 0.58, 0.78), and postpartum EPDS scores (β: 0.51, 95% CI: 0.38, 0.64). Poor sleep quality (PSQI scores ≥ 5) was associated with antenatal stress status (odds ratio [OR]: 2.60, 95% CI: 1.79, 3.77), antenatal depression status (OR: 3.42, 95% CI: 2.48, 4.72), and postpartum depression status (OR: 2.40, 95% CI: 1.58, 3.64) after adjusting maternal age, BMI, gestational age, smoking, educational level, annual household income and social support. The association of poor sleep quality (PSQI scores ≥ 5) in the second trimester with postnatal depression status was significant among women more than or equal to 30 years old (OR: 4.12, 95% CI: 2.18, 7.78) but not among women less than 30 years old after adjusting covariates above. Conclusion: Poor sleep quality in the second trimester among Chinese pregnant women is associated with stress and depression symptoms. Strategies to boost sleep quality should be considered during prenatal health care to improve women’s mental health status.

scholarly journals Association of sleep quality during pregnancy with stress and depression: a prospective birth cohort study in China

2019 ◽  
Author(s):  
Ming Gao ◽  
Jiajin Hu ◽  
Liu Yang ◽  
Ning Ding ◽  
Xiaotong Wei ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Pregnant Women ◽  
Postnatal Depression ◽  
Regression Models ◽  
Antenatal Depression ◽  
Poor Sleep ◽  
Second Trimester ◽  
Poor Sleep Quality ◽  
Depression Status ◽  
Antenatal Stress

Abstract Background: The sleep quality of pregnant women in the third trimester is related to mental health. However, there is still a lack of large-scale cohort research exploring this relationship in the second trimester. Thus, we assessed the associations of sleep quality during the second trimester with antenatal stress and antenatal and postnatal depression. Methods: We examined 1152 pregnant women from a prospective cohort study in China to assess the associations of sleep quality in the second trimester with antenatal stress, antenatal depression, and postnatal depression. We used linear regression models and logistic regression models to examine the associations of sleep quality (Pittsburgh Sleep Quality Index [PSQI]) during pregnancy with perinatal stress (Pregnancy Pressure Scale [PPS]) and depression (Edinburgh Postnatal Depression Scale [EPDS]) status. We further assessed the relationship in groups divided according to age. Results: PSQI scores were positively associated with antenatal PPS scores (β: 1.52, 95% confidence interval [CI]: 1.28, 1.76), antenatal EPDS scores (β: 0.68, 95% CI: 0.58, 0.78), and postpartum EPDS scores (β: 0.51, 95% CI: 0.38, 0.64). Poor sleep quality was associated with antenatal stress status (odds ratio [OR]: 2.60, 95% CI: 1.79, 3.77), antenatal depression status (OR: 3.42, 95% CI: 2.48, 4.72), and postpartum depression status (OR: 2.40, 95% CI: 1.58, 3.64). The association of sleep quality in the second trimester with postnatal depression status was found in women older than 30 years old (OR: 4.12, 95% CI: 2.18, 7.78) and not in women younger than 30 years old. Conclusion: Poor sleep quality in the second trimester among Chinese pregnant women is associated with stress and depression symptoms. Strategies to boost sleep quality should be considered during prenatal health care to improve women’s mental health status.

scholarly journals Poor sleep quality, antepartum depression and suicidal ideation among pregnant women

2017 ◽  
Vol 209 ◽  
pp. 195-200 ◽  
Author(s):  
Bizu Gelaye ◽  
Gifty Addae ◽  
Beemnet Neway ◽  
Gloria T. Larrabure-Torrealva ◽  
Chunfang Qiu ◽  
...  
Keyword(s):  
Suicidal Ideation ◽  
Sleep Quality ◽  
Pregnant Women ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Antepartum Depression

scholarly journals Sleep quality and associated factors among pregnant women attending antenatal care at Jimma Medical Center, Jimma, Southwest Ethiopia, 2020: cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tamrat Anbesaw ◽  
Habtamu Abebe ◽  
Chalachew Kassaw ◽  
Tilahun Bete ◽  
Alemayehu Molla
Keyword(s):  
Sleep Quality ◽  
Pregnant Women ◽  
Associated Factors ◽  
Medical Center ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Southwest Ethiopia

Abstract Background Sleep is a natural physiological process vital for the physical and mental wellbeing of pregnant women and their fetuses. Even though poor sleep quality is a common problem among pregnant women, it is not studied in developing countries including Ethiopia. Therefore, this study was aimed to assess the poor sleep quality and associated factors among pregnant women attending antenatal care at Jimma medical center, Jimma, Southwest Ethiopia, 2020. Methods A cross-sectional study design was conducted among 415 pregnant women at Jimma Medical Center (JMC). The study subjects were selected using a systematic random sampling technique. Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality using face-to-face interviews. SPSS version 25 was used to analyze data. Bivariate and multivariable logistic regressions were done to identify factors related to sleep quality. In multivariable logistic regression variables with a p-value less than 0.05 was considered significant and, adjusted OR (AOR) with 95% CI was used to present the strength of the association. Results The prevalence of poor sleep quality among pregnant women was found to be 30.8% (95% CI (26.5, 35.2). In multivariable analysis, age ≥ 30 years old (AOR = 1.94;95%CI:1.03,3.66), Multigravida (AOR = 1.90;95%CI:1.90,3.32),depression (AOR = 4.26;95%CI:2.54,7.14),stress (AOR = 1.85;95%CI:1.20,3.02) were variables significantly associated with poor sleep quality. Conclusion This study found a high prevalence of poor sleep quality among pregnant women. Older age, gravidity, depression, and stress were associated with poor sleep quality. It is better to have routine sleep pattern screening and teach sleep hygiene practice for pregnant women.

scholarly journals Sleep and daytime problems during the COVID-19 pandemic and effects of coronavirus infection, confinement and financial suffering: a multinational survey using a harmonised questionnaire

BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e050672
Author(s):  
Markku Partinen ◽  
Brigitte Holzinger ◽  
Charles M Morin ◽  
Colin Espie ◽  
Frances Chung ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Sleep Quality ◽  
Regression Models ◽  
Sleep Problems ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Logistic Regression Models ◽  
Excessive Sleepiness ◽  
Adjusted Logistic Regression ◽  
Daytime Function

ObjectivesSleep is important for human health and well-being. No previous study has assessed whether the COVID-19 pandemic impacts sleep and daytime function across the globe.MethodsThis large-scale international survey used a harmonised questionnaire. Fourteen countries participated during the period of May–August 2020. Sleep and daytime problems (poor sleep quality, sleep onset and maintenance problems, nightmares, hypnotic use, fatigue and excessive sleepiness) occurring ‘before’ and ‘during’ the pandemic were investigated. In total, 25 484 people participated and 22 151 (86.9%) responded to the key parameters and were included. Effects of COVID-19, confinement and financial suffering were considered. In the fully adjusted logistic regression models, results (weighted and stratified by country) were adjusted for gender, age, marital status, educational level, ethnicity, presence of sleep problems before COVID-19 and severity of the COVID-19 pandemic in each country at the time of the survey.ResultsThe responders were mostly women (64%) with a mean age 41.8 (SD 15.9) years (median 39, range 18–95). Altogether, 3.0% reported having had COVID-19; 42.2% reported having been in confinement; and 55.9% had suffered financially. All sleep and daytime problems worsened during the pandemic by about 10% or more. Also, some participants reported improvements in sleep and daytime function. For example, sleep quality worsened in about 20% of subjects and improved in about 5%. COVID-19 was particularly associated with poor sleep quality, early morning awakening and daytime sleepiness. Confinement was associated with poor sleep quality, problems falling asleep and decreased use of hypnotics. Financial suffering was associated with all sleep and daytime problems, including nightmares and fatigue, even in the fully adjusted logistic regression models.ConclusionsSleep problems, fatigue and excessive sleepiness increased significantly worldwide during the first phase of the COVID-19 pandemic. Problems were associated with confinement and especially with financial suffering.

scholarly journals Social Media Use, Unhealthy Lifestyles, and the Risk of Miscarriage Among Pregnant Women During the COVID-19 Pandemic: Prospective Observational Study

10.2196/25241 ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. e25241
Author(s):  
Xiaotong Zhang ◽  
Jue Liu ◽  
Na Han ◽  
Jing Yin
Keyword(s):  
Physical Activity ◽  
Social Media ◽  
Sleep Quality ◽  
Pregnant Women ◽  
Dietary Diversity ◽  
Media Use ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Social Media Use ◽  
The Impact

Background The COVID-19 pandemic has resulted in changes to normal life and disrupted social and economic function worldwide. However, little is known about the impact of social media use, unhealthy lifestyles, and the risk of miscarriage among pregnant women during the COVID-19 pandemic. Objective This study aims to assess the association between social media use, unhealthy lifestyles, and the risk of miscarriage among pregnant women in the early stage of the COVID-19 pandemic in China. Methods In this prospective cohort study, 456 singleton pregnant women in mainland China were recruited during January and February 2020. Sociodemographic characteristics, history of previous health, social media use, and current lifestyles were collected at baseline, and we followed up about the occurrence of miscarriage. Log-binomial regression models were used to estimate the risk ratios (RRs) of miscarriage for women with different exposures to COVID-19–specific information. Results Among all the 456 pregnant women, there were 82 (18.0%) who did no physical activities, 82 (18.0%) with inadequate dietary diversity, 174 (38.2%) with poor sleep quality, and 54 (11.8%) spending >3 hours on reading COVID-19 news per day. Women with excessive media use (>3 hours) were more likely to be previously pregnant (P=.03), have no physical activity (P=.003), have inadequate dietary diversity (P=.03), and have poor sleep quality (P<.001). The prevalence of miscarriage was 16.0% (n=73; 95% CI 12.6%-19.4%). Compared with women who spent 0.5-2 hours (25/247, 10.1%) on reading COVID-19 news per day, miscarriage prevalence in women who spent <0.5 hours (5/23, 21.7%), 2-3 hours (26/132, 19.7%), and >3 hours (17/54, 31.5%) was higher (P<.001). Miscarriage prevalence was also higher in pregnant women with poor sleep quality (39/174, 22.4% vs 34/282, 12.1%; P=.003) and a high education level (66/368, 17.9% vs 7/88, 8.0%; P=.02). In the multivariable model, poor sleep quality (adjusted RR 2.06, 95% CI 1.24-3.44; P=.006), 2-3 hours of media use daily (adjusted RR 1.74, 95% CI 1.02-2.97; P=.04), and >3 hours of media use daily (adjusted RR 2.56, 95% CI 1.43-4.59; P=.002) were associated with miscarriage. In the sensitivity analysis, results were still stable. Conclusions Pregnant women with excessive media use were more likely to have no physical activity, inadequate dietary diversity, and poor sleep quality. Excessive media use and poor sleep quality were associated with a higher risk of miscarriage. Our findings highlight the importance of healthy lifestyles during the COVID-19 pandemic.

scholarly journals Sleep Quality of Second Trimester Pregnant Women

2019 ◽  
Author(s):  
Elsa Naviati ◽  
Anggorowati Anggorowati ◽  
FatikhuYatuni Asmara
Keyword(s):  
Sleep Quality ◽  
Pregnant Women ◽  
Sleep Problem ◽  
Sleep Problems ◽  
Early Adulthood ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Second Trimester ◽  
Cross Sectional ◽  
Good Shape

Background: Most women experience sleep problem during pregnancy. Poor sleep can adversely affect health, also impacts critically toward the mother as well as the fetus.Accordingtothepreviousstudies,most of the results state that the sleep problem increases along with the gestational age. Yet, there search which focuses on sleep quality in the second trimester of pregnancy is limited. Objectives: The purpose of studyistodescribesleepqualityofsecondtrimesterpregnantwomenintheSemarang City. Methods: Cross sectional study was conducted in 4 Public Health Centers of Semarang City with purposive sampling in mothers with 20-24 weeks of pregnancy. Number of respondents is 73 pregnant women. Inclusion criteria are pregnant women with 20-24 week of pregnancy, live together with husband, don’t have any chronic illness. The instrument backed up using Sleep Condition Indicator (SCI). Results was divided into 4 criteria namely severe sleep problems, some sleep problems, good shape sleep and great shape sleep. Data analysis was using a computer program. Results:The result of the study shows that those 73 pregnant women are grouped into several categories, most of them are senior high school (64,38%), second pregnancy (37.8%), Islamic religion (98.63%), household care work (71,23%) and early adulthood (63,01%). Furthermore, it shows that most of pregnant women have a good shape sleep (52,05%), while the pregnant women who have some sleep problem are 16,44%. Conclusion: Although the result shows that the percentage of pregnant women who has sleep problem is not as high as the ones who do not, this should not be taken for granted since this problem will influence both the mother’s and the fetus’ health conditions.For further research, it is needed to find the causes of poor sleep quality on pregnant women to solve this problem and to prevent disease which is caused by it.  

scholarly journals Social Media Use, Unhealthy Lifestyles, and the Risk of Miscarriage Among Pregnant Women During the COVID-19 Pandemic: Prospective Observational Study (Preprint)

2020 ◽  
Author(s):  
Xiaotong Zhang ◽  
Jue Liu ◽  
Na Han ◽  
Jing Yin
Keyword(s):  
Physical Activity ◽  
Social Media ◽  
Sleep Quality ◽  
Pregnant Women ◽  
Dietary Diversity ◽  
Media Use ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Social Media Use ◽  
The Impact

BACKGROUND The COVID-19 pandemic has resulted in changes to normal life and disrupted social and economic function worldwide. However, little is known about the impact of social media use, unhealthy lifestyles, and the risk of miscarriage among pregnant women during the COVID-19 pandemic. OBJECTIVE This study aims to assess the association between social media use, unhealthy lifestyles, and the risk of miscarriage among pregnant women in the early stage of the COVID-19 pandemic in China. METHODS In this prospective cohort study, 456 singleton pregnant women in mainland China were recruited during January and February 2020. Sociodemographic characteristics, history of previous health, social media use, and current lifestyles were collected at baseline, and we followed up about the occurrence of miscarriage. Log-binomial regression models were used to estimate the risk ratios (RRs) of miscarriage for women with different exposures to COVID-19–specific information. RESULTS Among all the 456 pregnant women, there were 82 (18.0%) who did no physical activities, 82 (18.0%) with inadequate dietary diversity, 174 (38.2%) with poor sleep quality, and 54 (11.8%) spending &gt;3 hours on reading COVID-19 news per day. Women with excessive media use (&gt;3 hours) were more likely to be previously pregnant (<i>P</i>=.03), have no physical activity (<i>P</i>=.003)<i>,</i> have inadequate dietary diversity (<i>P</i>=.03), and have poor sleep quality (<i>P</i>&lt;.001). The prevalence of miscarriage was 16.0% (n=73; 95% CI 12.6%-19.4%). Compared with women who spent 0.5-2 hours (25/247, 10.1%) on reading COVID-19 news per day, miscarriage prevalence in women who spent &lt;0.5 hours (5/23, 21.7%), 2-3 hours (26/132, 19.7%), and &gt;3 hours (17/54, 31.5%) was higher (<i>P</i>&lt;.001). Miscarriage prevalence was also higher in pregnant women with poor sleep quality (39/174, 22.4% vs 34/282, 12.1%; <i>P</i>=.003) and a high education level (66/368, 17.9% vs 7/88, 8.0%; <i>P</i>=.02). In the multivariable model, poor sleep quality (adjusted RR 2.06, 95% CI 1.24-3.44; <i>P</i>=.006), 2-3 hours of media use daily (adjusted RR 1.74, 95% CI 1.02-2.97; <i>P</i>=.04), and &gt;3 hours of media use daily (adjusted RR 2.56, 95% CI 1.43-4.59; <i>P</i>=.002) were associated with miscarriage. In the sensitivity analysis, results were still stable. CONCLUSIONS Pregnant women with excessive media use were more likely to have no physical activity, inadequate dietary diversity, and poor sleep quality. Excessive media use and poor sleep quality were associated with a higher risk of miscarriage. Our findings highlight the importance of healthy lifestyles during the COVID-19 pandemic.

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