1
|
Chen L, Deng YF, Fan MQ, Yuan HB, Meng LR, Gao LL. Assisted reproductive technology and physical activity among Chinese pregnant women at high risk for gestational diabetes mellitus in early pregnancy: A cross-sectional study. Res Nurs Health 2024; 47:324-334. [PMID: 38229213 DOI: 10.1002/nur.22369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 12/10/2023] [Accepted: 12/29/2023] [Indexed: 01/18/2024]
Abstract
Currently, the number of pregnant women at high risk for gestational diabetes mellitus (GDM) and using assisted reproductive technology (ART) is increasing. The present study aims to explore the relationship between ART and physical activity in Chinese pregnant women at high risk for GDM in early pregnancy. A cross-sectional study was conducted in a regional teaching hospital in Guangzhou, China, between July 2022 and March 2023. Three hundred fifty-five pregnant women at high risk for GDM in early pregnancy completed the Chinese version of the Pregnant Physical Activity Questionnaire (PPAQ), the Pregnancy Physical Activity Knowledge Scale, the Pregnancy Physical Activity Self-Efficacy Scale, the Pregnancy Physical Activity Social Support Scale, and a sociodemographic and obstetric characteristics data sheet. Compared to women who conceived naturally, women who used ART were more likely to be 35 years or older, unemployed, primigravidae, and to have intentionally planned their pregnancies. Women who used ART had significantly lower levels of physical activity and self-efficacy compared to their counterparts who conceived naturally. Over half (55.6%) of women who used ART reported being physically inactive, and those with lower self-efficacy, as well as the unemployed, were significantly more likely to be inactive. Physical inactivity is a critical clinical issue among women who use ART, especially in the context of GDM risk. Future research should develop and test physical activity programs, including enhancing physical activity self-efficacy for women who use ART. Patient or public contribution: In this study, survey questionnaires were completed by participants among Chinese pregnant women at high risk for GDM in early pregnancy.
Collapse
Affiliation(s)
- Lu Chen
- School of Nursing, Sun Yat-sen University, Guangzhou, China
| | - Yong-Fang Deng
- Department of Obstetrics and Gynecology, Guangzhou Women and Children's Medical Center, Guangzhou, China
| | - Mei-Qiong Fan
- Department of Obstetrics and Gynecology, Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Hao Bin Yuan
- Faculty of Health Sciences and Sports, Macao Polytechnic University, Rua de Luis Gonzaga Gomes, Macao, China
| | - Li-Rong Meng
- Faculty of Health Sciences and Sports, Macao Polytechnic University, Rua de Luis Gonzaga Gomes, Macao, China
| | - Ling-Ling Gao
- School of Nursing, Sun Yat-sen University, Guangzhou, China
| |
Collapse
|
2
|
Yang X, Han R, Song Y, Zhang J, Huang H, Zhang J, Wang Y, Gao L. The Mediating Role of Physical Activity Self-Efficacy in Predicting Moderate-Intensity Physical Activity in Pregnant People at High Risk for Gestational Diabetes. J Midwifery Womens Health 2024; 69:403-413. [PMID: 38069454 DOI: 10.1111/jmwh.13589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 10/09/2023] [Indexed: 06/05/2024]
Abstract
INTRODUCTION Gestational diabetes mellitus (GDM) is a common medical complication in pregnancy. Moderate-intensity physical activity during pregnancy can lower the risk of GDM. However, the relationship between moderate-intensity physical activity and correlated factors among pregnant people at high risk for GDM remains unknown. METHODS A cross-sectional study was conducted in China. Two hundred fifty-two participants completed the Pregnancy Physical Activity Questionnaire, Pregnancy Physical Activity Self-Efficacy Scale, Physical Activity Knowledge Questionnaire, Physical Activity Social Support Scale, 7-item Generalized Anxiety Disorder Scale, Edinburgh Postnatal Depression Scale, and a sociodemographic data sheet. Structural equation modeling was used to explore the direct and indirect associations between the study variables. RESULTS A total of 51.6% of the participants did not meet the current physical activity guidelines. Only physical activity self-efficacy was significantly correlated with moderate-intensity physical activity. Physical activity self-efficacy mediated the relationship between moderate-intensity physical activity and knowledge of physical activity, social support for physical activity, and anxiety symptoms. Furthermore, knowledge of physical activity was also associated with improved moderate-intensity physical activity mediated by reduced anxiety symptoms and increased physical activity self-efficacy. CONCLUSION Our study revealed a high prevalence of not meeting current physical activity guidelines among pregnant people at high risk for GDM. Physical activity self-efficacy played an important mediating role in predicting moderate-intensity physical activity. Future studies should focus on enhancing self-efficacy to improve moderate-intensity physical activity for pregnant people at high risk for GDM.
Collapse
Affiliation(s)
- Xiao Yang
- School of Nursing, Sun Yat-Sen University, Guangzhou, China
| | - Rongrong Han
- School of Nursing, Sun Yat-Sen University, Guangzhou, China
| | - Yingli Song
- Zhengzhou Maternal and Child Health Hospital, Zhengzhou, China
| | - Ji Zhang
- Zhengzhou Maternal and Child Health Hospital, Zhengzhou, China
| | - Hui Huang
- Zhengzhou Maternal and Child Health Hospital, Zhengzhou, China
| | - Jing Zhang
- Zhengzhou Maternal and Child Health Hospital, Zhengzhou, China
| | - Yan Wang
- Zhengzhou Maternal and Child Health Hospital, Zhengzhou, China
| | - Lingling Gao
- School of Nursing, Sun Yat-Sen University, Guangzhou, China
| |
Collapse
|
3
|
Fu Y, Zhao J, Zhang W, Du H, Cao Z, Chen X. Global research trends in sexual health care: A bibliometric and visualized study. J Clin Nurs 2024; 33:422-431. [PMID: 37881137 DOI: 10.1111/jocn.16915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 08/28/2023] [Accepted: 09/29/2023] [Indexed: 10/27/2023]
Abstract
No Patient or Public Contribution, because the relevant data of this article comes from the literature database. PURPOSE The present study aimed to investigate the trends and research status of sexual healthcare. METHODS We searched the Web of Science database for relevant articles concerning sexual healthcare, published between 2009 and 31 December 2022. Data collected include: the number of publications, authors, journals, countries, institutions, keywords. VOSviewer and CiteSpace were used to conduct the bibliometric study and visualise the analysis. RESULTS A total of 1450 publications were included. The number of publications on sexual healthcare shows a fluctuating upward trend, and a stable core group of authors has been formed. The Journal of Clinical Nursing published the most articles on sexual healthcare (140 publications). The United States of America published the most articles (723, 49.86%). The research institution with the highest number of publications is the University of São Paulo. According to the keyword, timeline view and prominence mapping analysis, we believe that 'Female sexual health', 'HIV', 'LGBT' and 'Sexual Healthcare Services' may be new research hotspots in the field of sexual healthcare. CONCLUSION This study describes the research status of sexual healthcare research over the past 14 years. The findings of this study can provide helpful reference and guidance for the development trend and research direction of sexual healthcare.
Collapse
Affiliation(s)
- Yao Fu
- The Third People's Hospital of Zigong, Zigong, Sichuan, China
| | - Junbo Zhao
- Shanxi Center for Disease Control and Prevention, Taiyuan, Shanxi, China
| | - Wenjin Zhang
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Hailiang Du
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Zhiqin Cao
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Xingfeng Chen
- Dongguan People's Hospital, Dongguan, Guangdong, China
| |
Collapse
|
4
|
Li J, Yang J, Lv M, Wang X, Chen Z, Zhou N, Hou X, Song Z. Development and internal validation of a clinical prediction model for spontaneous abortion risk in early pregnancy. Clinics (Sao Paulo) 2023; 79:100318. [PMID: 38103265 PMCID: PMC10770515 DOI: 10.1016/j.clinsp.2023.100318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 11/09/2023] [Accepted: 11/27/2023] [Indexed: 12/18/2023] Open
Abstract
OBJECTIVE This study aimed to develop and internally validate a prediction model for estimating the risk of spontaneous abortion in early pregnancy. METHODS This prospective cohort study included 9,895 pregnant women who received prenatal care at a maternal health facility in China from January 2021 to December 2022. Data on demographics, medical history, lifestyle factors, and mental health were collected. A multivariable logistic regression analysis was performed to develop the prediction model with spontaneous abortion as the outcome. The model was internally validated using bootstrapping techniques, and its discrimination and calibration were assessed. RESULTS The spontaneous abortion rate was 5.95% (589/9,895) 1. The final prediction model included nine variables: maternal age, history of embryonic arrest, thyroid dysfunction, polycystic ovary syndrome, assisted reproduction, exposure to pollution, recent home renovation, depression score, and stress score 1. The model showed good discrimination with a C-statistic of 0.88 (95% CI 0.87‒0.90) 1, and its calibration was adequate based on the Hosmer-Lemeshow test (p = 0.27). CONCLUSIONS The prediction model demonstrated good performance in estimating spontaneous abortion risk in early pregnancy based on demographic, clinical, and psychosocial factors. Further external validation is recommended before clinical application.
Collapse
Affiliation(s)
- Junqing Li
- Imaging Diagnosis Department, Jinan Second Maternal and Child Health Hospital, Jinan City, Shandong Province, China
| | - Jimei Yang
- Imaging Diagnosis Department, Jinan Second Maternal and Child Health Hospital, Jinan City, Shandong Province, China
| | - Min Lv
- Psychological Clinic, Jinan Second Maternal and Child Health Hospital, Jinan City, Shandong Province, China
| | - Xiang Wang
- Imaging Diagnosis Department, Jinan Second Maternal and Child Health Hospital, Jinan City, Shandong Province, China
| | - Zhijing Chen
- Psychological Clinic, Jinan Second Maternal and Child Health Hospital, Jinan City, Shandong Province, China
| | - Na Zhou
- Clinical Lab, Jinan Second Maternal and Child Health Hospital, Jinan City, Shandong Province, China
| | - Xuetao Hou
- Department of Gynecology and Obstetrics, Jinan Second Maternal and Child Health hospital, Jinan City, Shandong Province, China.
| | - Zhen Song
- Imaging Diagnosis Department, Jinan People's Hospital, Jinan City, Shandong Province, China
| |
Collapse
|
5
|
Wang T, Hou Y, Liu Y, Qiao C. Psychological changes among women with recurrent pregnancy loss during the COVID-19 period in northeastern China: a cross-sectional study. Front Psychol 2023; 14:1265926. [PMID: 37936571 PMCID: PMC10626446 DOI: 10.3389/fpsyg.2023.1265926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 10/02/2023] [Indexed: 11/09/2023] Open
Abstract
Background It aimed to investigate the prevalence of anxiety and depression in recurrent pregnancy loss (RPL) women and the related factors in Northeastern China during the Coronavirus disease 2019 (COVID-19) pandemic. Methods From March to June 2021, we conducted an electronic questionnaire survey of 267 RPL women who attended the recurrent pregnancy loss clinic at Shengjing Hospital of China Medical University. The State-Trait Anxiety Inventory (STAI), Beck Depression Inventory-II (BDI-II), Perceived Stress Scale (PSS), and Medical Outcomes Study Social Support Survey (MOS-SSS-C) were used to screen for anxiety, depression, stress, and social support. Logistic regression was used to explore the related factors of anxiety and depression. Results RPL women had severe psychological problems during the pandemic: 56.6% showed state anxiety or trait anxiety, 26.6% showed high levels of stress, and 13.1% showed depression. Economic pressure caused by COVID-19, and high stress were common related factors for anxiety and depression. The interval since last miscarriage <6 months, worse mood changes due to COVID-19, and concerns about COVID-19 were associated with anxiety. A history of pregnancy loss >14 weeks was associated with depression. While adequate social support and actively seeking health help were protective factors for trait anxiety. And identifying the etiology was a protective factor for depression. Conclusion The study revealed the prevalence of anxiety, depression, and the associated factors in RPL women during COVID-19. More attention should be paid to the psychology of RPL women and adequate social support should be provided.
Collapse
Affiliation(s)
- Tingting Wang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Obstetrics and Gynecology of Higher Education of Liaoning Province, Shenyang, China
| | - Yue Hou
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Obstetrics and Gynecology of Higher Education of Liaoning Province, Shenyang, China
| | - Yilin Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Obstetrics and Gynecology of Higher Education of Liaoning Province, Shenyang, China
| | - Chong Qiao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Obstetrics and Gynecology of Higher Education of Liaoning Province, Shenyang, China
| |
Collapse
|
6
|
Zhao M, Huang Y, Wang J, Feng J, Zhou B. Internet addiction and depression among Chinese adolescents: anxiety as a mediator and social support as a moderator. PSYCHOL HEALTH MED 2023; 28:2315-2328. [PMID: 37317485 DOI: 10.1080/13548506.2023.2224041] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 06/06/2023] [Indexed: 06/16/2023]
Abstract
This study constructed a moderated mediation model to investigate the mediating effect of anxiety and the moderating effect of social support between Internet addiction and depression. A sample of 17 058 middle school students in one district of Chengdu were selected. The Internet Addiction Test (IAT), Generalized Anxiety Disorder (GAD-7), Patient Health Questionnaire (PHQ-9), and Social Support Scale for adolescents were used to investigate their Internet addiction, anxiety, depression and social support. The descriptive statistics and Spearman correlation analysis were performed with SPSS 25.0. An SPSS macro process was used to analyze the data from complex models that contained mediators and moderators. The results show that adolescents with Internet addiction are more likely to suffer from depression. Anxiety partially mediated the relations between Internet addiction and depression. Social support moderated both direct and indirect pathways leading from Internet addiction to depression, and these two effects were stronger for adolescents with low social support than for those with high social support. It will be possible for researchers to gain a better understanding of the conditions, pathways, and effects of Internet addiction on depression in adolescents through the results of this study.
Collapse
Affiliation(s)
- Meng Zhao
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Yulan Huang
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China
- Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China
| | - Jinyu Wang
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China
- Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China
| | - Jie Feng
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Bo Zhou
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China
- Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China
| |
Collapse
|
7
|
Futakawa K, Matsumura K, Tsuchida A, Konishi M, Sasaki H, Mezawa H, Yamamoto-Hanada K, Inadera H, Hasegawa T. Longitudinal study of the relationship between number of prior miscarriages or stillbirths and changes in quality of life of pregnant women: the Japan Environment and Children's Study (JECS). BMC Pregnancy Childbirth 2023; 23:297. [PMID: 37118672 PMCID: PMC10148530 DOI: 10.1186/s12884-023-05578-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 04/06/2023] [Indexed: 04/30/2023] Open
Abstract
BACKGROUND Although a history of miscarriage or stillbirth has been reported to negatively affect quality of life (QOL) during the subsequent pregnancy, the association between the number of previous miscarriages or stillbirths and QOL, as well as trends in QOL during pregnancy, has not been clarified. This study sought to determine this association during early and mid- to late pregnancy. METHODS Data from 82,013 pregnant women who participated in the Japan Environment and Children's Study (JECS) from January 2011 to March 2014 were analyzed. In early and mid/late pregnancy, participants completed questionnaires and QOL was assessed using the Physical and Mental Component Summary (PCS and MCS, respectively) scores from the 8-item Short-Form Health Survey (SF-8). The pregnant women were divided into four groups according to number of previous miscarriages or stillbirths (0, 1, 2, and ≥ 3), and the PCS and MCS scores in early pregnancy and mid/late pregnancy were compared between group 0 and groups 1, 2, and ≥ 3. Generalized linear mixed models were used for analysis. RESULTS PCS score in early pregnancy was lower in group 1 (β = - 0.29, 95% confidence interval [CI] - 0.42 to - 0.15), group 2 (β = - 0.45, 95% CI - 0.73 to - 0.18), and group ≥ 3 (β = - 0.87, 95% CI - 1.39 to - 0.35) than in group 0. Group 1 and group ≥ 3 showed a trend for increased PCS score during pregnancy (β = 0.22, 95% CI 0.07 to 0.37 and β = 0.75, 95% CI 0.18 to 1.33, respectively) compared with group 0. CONCLUSIONS PCS score in early pregnancy was lower with a more frequent history of miscarriage or stillbirth. However, in terms of changes in QOL during pregnancy, pregnant women with a history of miscarriage or stillbirth showed greater increases in PCS score during mid/late pregnancy than pregnant women with no history of miscarriage or stillbirth.
Collapse
Affiliation(s)
- Kaori Futakawa
- Department of Maternal Nursing, Faculty of Medicine, Academic Assembly, University of Toyama, 2630 Sugitani, Toyama-Shi, Toyama, 930-0194, Japan
| | - Kenta Matsumura
- Department of Public Health, Faculty of Medicine, University of Toyama, 2630 Sugitani, Toyama, Toyama-Shi, Toyama, 930-0194, Japan
- Toyama Regional Center for JECS, University of Toyama, 2630 Sugitani, Toyama-Shi, Toyama, 930-0194, Japan
| | - Akiko Tsuchida
- Department of Public Health, Faculty of Medicine, University of Toyama, 2630 Sugitani, Toyama, Toyama-Shi, Toyama, 930-0194, Japan
- Toyama Regional Center for JECS, University of Toyama, 2630 Sugitani, Toyama-Shi, Toyama, 930-0194, Japan
| | - Mizuho Konishi
- Department of Psychology, Tokyo Seitoku University, 1-7-13 Jujodai, Kita-Ku, Tokyo, 114-0033, Japan
- Medical Support Center for Japan Environment and Children's Study (JECS), National Center for Child Health and Development, 2-10-1 Okura, Setagaya-Ku, Tokyo, 157-8535, Japan
| | - Hatoko Sasaki
- Medical Support Center for Japan Environment and Children's Study (JECS), National Center for Child Health and Development, 2-10-1 Okura, Setagaya-Ku, Tokyo, 157-8535, Japan
- Shizuoka Graduate University of Public Health, 4-27-2, Kita-Ando, Aoi-Ku, Shizuoka-Shi, Shizuoka, 420-0881, Japan
| | - Hidetoshi Mezawa
- Medical Support Center for Japan Environment and Children's Study (JECS), National Center for Child Health and Development, 2-10-1 Okura, Setagaya-Ku, Tokyo, 157-8535, Japan
| | - Kiwako Yamamoto-Hanada
- Medical Support Center for Japan Environment and Children's Study (JECS), National Center for Child Health and Development, 2-10-1 Okura, Setagaya-Ku, Tokyo, 157-8535, Japan
| | - Hidekuni Inadera
- Department of Public Health, Faculty of Medicine, University of Toyama, 2630 Sugitani, Toyama, Toyama-Shi, Toyama, 930-0194, Japan
- Toyama Regional Center for JECS, University of Toyama, 2630 Sugitani, Toyama-Shi, Toyama, 930-0194, Japan
| | - Tomomi Hasegawa
- Department of Maternal Nursing, Faculty of Medicine, Academic Assembly, University of Toyama, 2630 Sugitani, Toyama-Shi, Toyama, 930-0194, Japan.
| |
Collapse
|
8
|
Wang TT, Liu YL, Hou Y, Li JP, Qiao C. The risk factors of progestational anxiety, depression, and sleep disturbance in women with recurrent pregnancy loss: A cross-sectional study in China. Front Psychol 2023; 14:1116331. [PMID: 37063554 PMCID: PMC10102375 DOI: 10.3389/fpsyg.2023.1116331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 03/10/2023] [Indexed: 04/03/2023] Open
Abstract
BackgroundThe risk factors of progestational anxiety, depression, and sleep disturbance in women with a history of recurrent pregnancy loss (RPL) remain controversial, additional study is needed to investigate the incidence and risk factors of progestational anxiety, depression, and sleep quality in RPL women.MethodsA cross-sectional study was conducted among 663 non-pregnant RPL women in Northeast China from October 2019 to July 2022. We assessed the state of anxiety, depression, and sleep quality before pregnancy using structured questionnaires, including sociodemographic characteristics, state-trait anxiety scale (STAI), center for epidemiological survey, depression scale (CES-D), Pittsburgh sleep quality index (PSQI), and symptom self-rating scale (SCL-90). Logistic regression was used to evaluate the association between sleep quality and anxiety, depression. Pearson’s correlation was used to evaluate the correlation between anxiety and depression. Multivariate logistic regression analysis was used to find the risk factors of depression symptoms. The receiver operating characteristic curve (ROC) was used to evaluate the predictive value of the model.ResultsThe incidence of state anxiety, trait anxiety, depression, and sleep disturbance in RPL women were 60.3, 51.7, 33.9, and 31.2%, respectively. The level of anxiety and depression in RPL women varied at different stages of treatment. In a longitudinal study (25 pairs), we found the level of state anxiety and trait anxiety were significantly lower after the cause was identified. Sleep disturbance is positively correlated with anxiety and depression. Logistic regression showed that the number of miscarriages ≥4 (Odds ratio (OR) = 2.268, 95%CI 1.300–3.956), Low household family income (OR = 1.613, 95%CI 1.036–2.513/OR = 2.361, 95%CI 1.095–5.092), interval since last miscarriage <6 months (OR = 2.154, 95%CI 1.246–3.726) and sleep disturbance (OR = 5.523, 95%CI 3.542–8.614) were associated with the occurrence of depressive symptoms. At the same time, anxiety can be used as a predictor of depression.ConclusionRecurrent pregnancy loss women have a certain degree of anxiety, depression, and sleep disturbance. Education level, interval since the last miscarriage <6 months, and sleep disturbance are risk factors for anxiety and depression. A history of pregnancy loss after 14 weeks and no living birth are also closely related to anxiety. Therefore, it is necessary to pay close attention to the psychological state of RPL women and provide appropriate psychosocial support to reduce the occurrence of negative emotions.
Collapse
Affiliation(s)
- Ting-ting Wang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Obstetrics and Gynecology of Higher Education of Liaoning Province, Shenyang, China
| | - Yi-lin Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Obstetrics and Gynecology of Higher Education of Liaoning Province, Shenyang, China
| | - Yue Hou
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Obstetrics and Gynecology of Higher Education of Liaoning Province, Shenyang, China
| | - Jia-po Li
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Obstetrics and Gynecology of Higher Education of Liaoning Province, Shenyang, China
| | - Chong Qiao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Obstetrics and Gynecology of Higher Education of Liaoning Province, Shenyang, China
- *Correspondence: Chong Qiao,
| |
Collapse
|
9
|
Jia L, Li W, Liu Y, Wang L. Psychologic Sequelae in Early Pregnancy Complications. Int J Womens Health 2023; 15:51-57. [PMID: 36643713 PMCID: PMC9838123 DOI: 10.2147/ijwh.s382677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Accepted: 12/06/2022] [Indexed: 01/11/2023] Open
Abstract
Early pregnancy complications, including miscarriage, ectopic pregnancies, and hyperemesis gravidarum, are common discomforts accounting for about 15% to 20% of all pregnancies. A proportion of women with early pregnancy complications will experience short- and long-term psychologic sequelae in the aftermath of pregnancy complications, including anxiety, depression, and post-traumatic stress disorder (PTSD) which are the most commonly reported psychologic reactions. This review will focus on the course and impact of these psychologic sequelae in early pregnancy complications, and the noninvasive interventions to improve mental health are also briefly discussed.
Collapse
Affiliation(s)
- Lili Jia
- Department of Gynaecology and Obstetrics, Binhai County People’s Hospital, Yancheng City, People’s Republic of China
| | - Wenfei Li
- Department of Gynaecology and Obstetrics, Binhai County People’s Hospital, Yancheng City, People’s Republic of China
| | - Yue Liu
- Department of Gynaecology and Obstetrics, Binhai County People’s Hospital, Yancheng City, People’s Republic of China
| | - Longqin Wang
- Department of Emergency, Binhai County People’s Hospital, Yancheng City, People’s Republic of China,Correspondence: Longqin Wang, Department of Emergency, Binhai County People’s Hospital, 248 Fudong Middle Road, Yancheng City, 224599, People’s Republic of China, Email
| |
Collapse
|
10
|
Wickramaratne PJ, Yangchen T, Lepow L, Patra BG, Glicksburg B, Talati A, Adekkanattu P, Ryu E, Biernacka JM, Charney A, Mann JJ, Pathak J, Olfson M, Weissman MM. Social connectedness as a determinant of mental health: A scoping review. PLoS One 2022; 17:e0275004. [PMID: 36228007 PMCID: PMC9560615 DOI: 10.1371/journal.pone.0275004] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 09/08/2022] [Indexed: 11/29/2022] Open
Abstract
Public health and epidemiologic research have established that social connectedness promotes overall health. Yet there have been no recent reviews of findings from research examining social connectedness as a determinant of mental health. The goal of this review was to evaluate recent longitudinal research probing the effects of social connectedness on depression and anxiety symptoms and diagnoses in the general population. A scoping review was performed of PubMed and PsychInfo databases from January 2015 to December 2021 following PRISMA-ScR guidelines using a defined search strategy. The search yielded 66 unique studies. In research with other than pregnant women, 83% (19 of 23) studies reported that social support benefited symptoms of depression with the remaining 17% (5 of 23) reporting minimal or no evidence that lower levels of social support predict depression at follow-up. In research with pregnant women, 83% (24 of 29 studies) found that low social support increased postpartum depressive symptoms. Among 8 of 9 studies that focused on loneliness, feeling lonely at baseline was related to adverse outcomes at follow-up including higher risks of major depressive disorder, depressive symptom severity, generalized anxiety disorder, and lower levels of physical activity. In 5 of 8 reports, smaller social network size predicted depressive symptoms or disorder at follow-up. In summary, most recent relevant longitudinal studies have demonstrated that social connectedness protects adults in the general population from depressive symptoms and disorders. The results, which were largely consistent across settings, exposure measures, and populations, support efforts to improve clinical detection of high-risk patients, including adults with low social support and elevated loneliness.
Collapse
Affiliation(s)
- Priya J. Wickramaratne
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States of America
- Division of Translational Epidemiology, New York State Psychiatric Institute, New York, NY, United States of America
| | - Tenzin Yangchen
- Division of Translational Epidemiology, New York State Psychiatric Institute, New York, NY, United States of America
| | - Lauren Lepow
- Departments of Psychiatry and Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Braja G. Patra
- Division of Health Informatics, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States of America
| | - Benjamin Glicksburg
- Departments of Psychiatry and Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - Ardesheer Talati
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States of America
- Division of Translational Epidemiology, New York State Psychiatric Institute, New York, NY, United States of America
| | - Prakash Adekkanattu
- Department of Information Technologies and Services, Weill Cornell Medicine, New York, NY, United States of America
| | - Euijung Ryu
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States of America
| | - Joanna M. Biernacka
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, United States of America
| | - Alexander Charney
- Departments of Psychiatry and Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
| | - J. John Mann
- Division of Molecular Imaging and the Neuropathology, Departments of Psychiatry and Radiology, New York State Psychiatric Institute, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States of America
| | - Jyotishman Pathak
- Division of Health Informatics, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, United States of America
| | - Mark Olfson
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States of America
| | - Myrna M. Weissman
- Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, United States of America
- Division of Translational Epidemiology, New York State Psychiatric Institute, New York, NY, United States of America
| |
Collapse
|