scholarly journals Prevalence of depression symptoms and its influencing factors among pregnant women in late pregnancy in urban areas of Hengyang City, Hunan Province, China: a cross-sectional study

BMJ Open ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. e038511
Author(s):  
Yunhan Yu ◽  
Xidi Zhu ◽  
Huilan Xu ◽  
Zhao Hu ◽  
Wensu Zhou ◽  
...  

ObjectivesTo evaluate the prevalence of depressive symptoms and its influencing factors in late pregnancy.DesignCross-sectional study.SettingFourteen community in urban areas of Hengyang City.ParticipantsThe study conducted from July to October 2019, and surveyed 813 women in late pregnancy who lived in urban areas of Hengyang for more than 6 months, signed an informed consent and were without cognitive disorders, severe mental illnesses or other serious diseases.MeasuresPerinatal depression symptoms were evaluated using the Patient Health Questionnaire-9, and perinatal anxiety symptoms were evaluated using the Generalised Anxiety Disorder-7 Scale. Sociodemographic variables, obstetric characteristics, lifestyle behaviours, family factors, social support, sleep quality and self-efficacy were obtained through structured questionnaires.ResultsThe prevalence of depression symptoms among pregnant women in late pregnancy was 9.2% (95% CI 7.2%–11.2%). Protective factor: age between 25 and 29 years (OR=0.398; 95% CI 0.16–0.991). Risk factors: a normal relationship with her mother-in-law (OR=5.309; 95% CI 1.122–4.184), artificial insemination (OR=4.339; 95% CI 1.492–12.623), no exercise during pregnancy (OR=2.666; 95% CI 1.177–6.039), low self-efficacy (OR=4.253; 95% CI 1.518–11.916), low social support (OR=2.371; 95% CI 1.206–4.661), poor sleep quality (OR=2.134; 95% CI 1.131–4.027), existence of anxiety symptoms (OR=17.654; 95% CI 8.494–36.689).ConclusionThe prevalence of depression symptoms is lower than that in developing countries, but due to the large population base of China, the problem should still be taken seriously. To prevent mental disorders of pregnant women, early screening for mental disorders, promotion of healthy lifestyles, mental healthcare during pregnancy and improved family and social support should be implemented during pregnancy nursing.

2020 ◽  
Author(s):  
Yeliz Mercan ◽  
Kevser TARI SELCUK ◽  
Figen DIGIN ◽  
Hasan SAYGIN

Abstract Background: The aim of the present study was to determine the level and predictors of prenatal distress in pregnant women according to gestational age.Methods: This a cross-sectional study was conducted in eight Family Health Centers (FHCs) in Kirklareli, in Turkey. The study included 179 pregnant women who presented to the FHCs, who were at ≥12th week of gestation. Results:The frequency of prenatal distress in the participants was 21.2% (between 12th-27th weeks:16.5%, between 28th-41st weeks: 26.8%). It was found that level of education, age of the spouse, current pregnancy being unplanned, and social support levels were associated with the level of prenatal distress in ≥12th week or between 12th-27th weeks or between 28th-41st weeks (p<0.05). And also, perceived income level, abortion, and the number of pregnancies were associated with the level of prenatal distress in ≥12th weeks; the age of women, perceived income levels, previous abortion experience, and the number of pregnancies were associated with the level of prenatal distress in between 12th-27th weeks; the age of women, education level of spouse', and previous birth experience prenatal distress levels were associated in between 28th-41st weeks (p<0.05).Conclusion: The level of prenatal distress according to the gestational age, the education level of the woman, the age of her spouse’, the unplanned pregnancy, and social support levels were predictors. In both periods, the age of women were determinants in prenatal stress levels in pregnant women. Pregnant women should be screened and evaluated for prenatal distress in their application to FHCs.


2021 ◽  
Vol 10 (2) ◽  
pp. 96-102
Author(s):  
Azita Fathnezhad-Kazemi ◽  
Armin Aslani ◽  
Sepideh Hajian

Abstract Introduction: Adopting health-promoting lifestyle might be affected by a variety of factors. The existing evidence suggests that social support can improve health by fulfilling physical and mental needs. This study aimed to investigate the association between social support and health-promoting lifestyle in Pregnancy. Methods: Using multistage cluster sampling method, this cross-sectional study was conducted on 360 pregnant women. Data were collected using three questionnaires, including a self-reported demographic and obstetric, health-promoting lifestyle profile and perceived social support questionnaires. Data were analyzed using a t-test, repeated measures ANOVA, and multivariate linear regression model with SPSS software ver. 21 with. Results: The mean (SD) of health-promoting behaviors was 135.21(20.03). Amongst the different dimensions of health-promoting behaviors, the highest mean was detected in spiritual growth 26.84 (4.90) and nutrition 26.17 (4.22), respectively. Meanwhile, the lowest scores were detected in sub-domains of stress management 19.80 (3.78) and physical activity 16.71(4.14), respectively. The mean (SD) of perceived social support was 60.31 (14.75), and 51.7% of the participants had intermediate social support. Results indicated a significant difference between the mean score of Health-Promoting Lifestyle at different levels of social support. There was a direct and significant association between the scores of social support and health-promoting behavior (r=0.36; P<0.001). Conclusion: Pregnant women with better perception of social support had a better performance in adopting health-promoting Lifestyle. However, the status of health behaviors and social support was not favorable. Thus, there is a need to intervene and design programs to help pregnant women and improve their health.


2020 ◽  
Author(s):  
Ivan Mubangizi ◽  
Etheldreda Nakimuli-Mpungu ◽  
Ismael Kawooya ◽  
Christine Sekaggya-wiltshire

Abstract BACKGROUND Depression among patients with sickle cell disease (SCD) is under diagnosed and undertreated due to the overlap of symptoms and signs of SCD and depression. The study sought to determine the prevalence and factors associated with depression among adults attending the SCD out-patient clinic in Mulago Hospital, Uganda. METHODS This was a cross sectional study in which 255 adults with SCD were enrolled. Participants were evaluated for depression using the Self Report Questionnaire (SRQ-20) and a score of 6 was considered diagnostic of depression. Demographic data was collected with a pre-tested study questionnaire. Perceived social support was measured using the 12-item multidimensional social support scale and, self-esteem was measured using the Rosenberg Self-Esteem Scale. Blood samples were taken to obtain a complete blood count. Modified poisson regression analyses were used to determine associations of depression. RESULTS The prevalence of depression was 68.2% (95% C.I; 62–74) with a median age of 21 years. The factors independently associated with depression were pain crisis in the last month (prevalence ratio (PR) = 1.07, 95% CI: 1.04–1.07, p = 0.001), history of a hospital admission in the past 6 months (PR = 1.04, 95% CI: 1.01–1.07, p = 0.012), formal education (PR = 0.79, 95% CI: 0.59–0.97, P = 0.008) and a low social support rating (PR = 0.67, 95% CI: 0.53–0.84, P = 0.0019) CONCLUSIONS The prevalence of depression in adults with SCD is high with up to two thirds of patients having some form of depression. The major risk factors were low level of education, low social support, pain crises in the past month and hospital admissions in the last 6 months.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zeinab Hamzehgardeshi ◽  
Shabnam Omidvar ◽  
Arman Asadi Amoli ◽  
Mojgan Firouzbakht

Abstract Background Pregnancy is a risk factor for coronavirus disease 2019 (COVID-19). Pregnant women suffer from varying levels of pregnancy-related anxiety (PRA) which can negatively affect pregnancy outcomes. The aim of this study was to assess PRA and its associated factors during the COVID-19 pandemic. Methods This web-based cross-sectional study was conducted in 2020 on 318 pregnant women purposively recruited from primary healthcare centers in Sari and Amol, Iran. Data were collected using questionnaires (PRAQ, Edinburg, KAP of COVID-19, CDA-Q and Demographic questionnaire), which were provided to participants through the social media or were completed for them over telephone. Data were analyzed with the linear regression and the logistic regression analysis, at the significance level of 0.05 using the SPSS software (v. 21). Results Around 21% of participants had PRA, 42.1% had depression, and 4.4% had COVID-19 anxiety. The significant predictors of PRA were number of pregnancies (P = 0.008), practice regarding COVID-19 (P < 0.001), COVID-19 anxiety (P < 0.001), depression (P < 0.001), and social support (P = 0.025) which explained 19% of the total variance. Depression and COVID-19 anxiety increased the odds of PRA by respectively four times and 13%, while good practice regarding COVID-19 decreased the odds by 62%. Conclusion Around 21% of pregnant women suffer from PRA during the COVID-19 pandemic and the significant predictors of PRA during the pandemic include number of pregnancies, practice regarding COVID-19, COVID-19 anxiety, depression, and social support. These findings can be used to develop appropriate strategies for the management of mental health problems during pregnancy in the COVID-19 pandemic.


2016 ◽  
Vol 13 (3) ◽  
pp. e12351 ◽  
Author(s):  
Barnabas K. Natamba ◽  
Saurabh Mehta ◽  
Jane Achan ◽  
Rebecca J. Stoltzfus ◽  
Jeffrey K. Griffiths ◽  
...  

2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Getasew Legas Molla ◽  
Haregwoin Mulat Sebhat ◽  
Zebiba Nasir Hussen ◽  
Amsalu Belete Mekonen ◽  
Wubalem Fekadu Mersha ◽  
...  

Background. Depression is one of the most common mental disorders worldwide and is the second leading cause of disability and major contributor to suicide.Methods. Community based cross-sectional study was conducted among 779 adults residing in Northwest Ethiopia. Multistage cluster sampling technique was used to select study participants. Depression was measured by Patient Health Questionnaire (PHQ-9). Bivariate as well as multivariate logistic regressions were used to identify associated factors.pvalue of < 0.05 was considered statistically significant.Result. The prevalence of depression was 17.5%, where 10.7% of patients were with mild depression, 4.2% were with moderate depression, 1.9% were with moderately severe depression, and 0.6% had severe depression. Being female, age of 55 years and above, poor social support, having a comorbidity medical illness, current tobacco smoking, and living alone were significantly associated with depression.Conclusion and Recommendation. The prevalence of depression in Ethiopia is as common as the other lower and middle income countries. Female gender, being currently not married, poor social support, low wealth index, tobacco smoking, older age, having comorbid illness, and living alone were significantly associated with depression. So, depression is a significant public health problem that requires a great emphasis and some factors like smoking habit are modifiable.


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