Investigation Of Mental Health Status Of 203 Pregnant Women In Labor In Hospital

ObjectivesThrough the psychological investigation and study on pregnant women in China-Japan union hospital of Jilin university during 2014-2015, collecting and evaluating mental health status of pregnant women in labor, understanding the distribution characteristics of mental health status of pregnant women in labor, describing the type of mental health problems and its influence on the delivery process and outcome, the influence factors of the psychological problems of pregnant women in hospital will be analyzed in the paper and the nursing countermeasure of mental health problems will be explored. It will provide valuable research basis to the prevention and prognosis of mental health problems in pregnant women in hospital. MethodsThe investigation object was the hospitalized pregnant women in labor in China-Japan union hospital of Jilin university from November/2014 to May/2015. The composite questionnaire based on the investigation system of mobile terminal for data collecting by researchers trained, including the self-rating depression scale, self-rating Anxiety Scale general health questionnaire of 12 items and general population questionnaire, was used as tool for investigating. After checking the questionnaires, the entries data exported to the pattern of SPSS. The SPSS 21.0 software was used to analyze, indexes of correlation were described by constituent ratio or rate, comparison among groups used the χ2 test and the influencing factors were analyzed by univariate and multiple factor non- conditional Logistics regression analysis. Results(1) This study contains a total of 203 cases. Age distribution: under 30 years old accounted for the largest, 55.7%(113/203); The educational background of approximate half of objects is university(college); Family per capita monthly income between 3000-4499 RMB accounted for 38.4%(78/203); Most of the object were on-the-job or farming, for 78.8%(160/203). Married women accounted for 98.0%(199/203). Residents of Changchun city accounted for 78.8%(160/203); 82.3%(167/203) of habitat was city; Medical insurance of medical treatment charge of payment accounted for 61.1%(124/203).(2) The pregnancy-labor history: most of the object were the first time for pregnant 52.7%(107/203) and childbirth(155/203); Naturally conceived accounted for 95.6%(194/203);75.4%(153/203) of the respondents had no abnormal pregnancy history; pregnant women with no history of miscarriage accounted for 61.1%(124/203).(3) On the analysis of physical condition and health situation before pregnancy:The proportion of overweight or obesity was 19.7%(96/203); Pregnant women had taken drugs due for illness before pregnancy accounted for 23.6%(48/203);Husband gave up smoking before pregnancy accounted for 21.2%(43/203);46.3%(94/203) of husband drink before.(4) On the analysis of physical condition and health situation during pregnant:Pregnant women who did not take any drugs accounted for 83.3%(169/203); The objective with roentgenography and Down’s Screening during pregnancy accounted for 3.9%(8/203) and 85.2(173/203) respectively. Threatened abortion during pregnancy accounted for 24.6%(50/203).(5) In the survey of 203 cases, the highest GHQ score was 11 points and the minimum was 0 point, the median is 2 points. High risk tend to be a total of 35 people, that positive rate was 17.2%. Positive difference of different age, family per capita monthly income, the habitat and medical expense payment had statistical significance respectively(P<0.05); Positive difference of different education, occupation status, marriage status and locals had no statistical significance respectively(P>0.05). The results of Logistic regression model showed that the risk of new farming close is 2.643 times to public health services, suggesting that new farming close is a risk factor.(6) In the survey of 203 cases, the SAS scale for the standard maximum value was 64, the minimum value was 25, the median was 42.56. 31 cases had anxiety tendency in total, the positive rate was 15.3%. The positive rate of tendency to anxiety was 15.9%(18/113) under 30 years old, the positive rate of tendency to anxiety over 30~49 years old was 16.3%(13/80), there were no significant differences in ages(χ2=0.532, P>0.05).Positive difference of different education, family per capita monthly income, marriage status, occupation status, locals, the habitat and medical expense payment had no statistical significance respectively(P>0.05); Factors influencing the results of multiple Logistic regression analysis showed that the risk of pregnant women had taken drugs was 0.086(0.011~0.652) times to not taken, suggesting that had taken drugs is a influence factor for anxiety tendency.(7) In the survey of 203 research object, maximum of SDS score was 70 points and minimum value was 23 points. Averages was 38.25 points. Depression were detected with 53 and the positive rate was 26.1%. Different ages, education, family per capita income, marital status, occupation status, locals, the habitat and medical expense payment had no statistical significance respectively(P>0.05); The results of Logistic regression model showed that the risk of overweight or obesity is 2.335(1.101~4.954)times to normal or less, suggesting that overweight or obesity is a risk factor to depressive tendency. ConclusionThe positive rate of general mental health status, tendency of anxiety and depressive tendency were higher than ordinary. The positive rate of high risk tendency of pregnant women in labor with general mental health status in family per capita monthly income, the habitat and medical expense payment was different. Their psychological conditions were mainly influenced by medical expense payment, overweight or obesity, taken drugs. At the same time, we should attach importance to the prevention of psychological problems of the pregnant women in labor, giving corresponding psychological counseling and guidance to help them reduce the psychological pressure, which will improve the mental health of pregnant women and reduce the incidence of depression and anxiety. It will improve the level of maternal and child health goals.