Research Article, J Ergon Res Vol: 6 Issue: 1
Accident Prevalence Related to Psychosocial Risk Factors for Northeast of Iran Workers: COPSOQ-III Index of Persian Version
Siavash Etemadinezhad, Mohsen Mohsenabadi* and Seyed Nouraddin Mousavinasa
Department of Occupational Health, School of Health, Mazandaran University of Medical Sciences, Phoenix, Arizona
*Corresponding Author: Mohsen Mohsenabadi
Department of Occupational Health, School of Health, Mazandaran University of Medical Sciences, Phoenix, Arizona
Tel: 6024063593
E-mail: M.mohsenabadi@gmail.com
Received date: 29 August, 2022, Manuscript No. JEOR-22-73476; Editor assigned date: 31 August, 2022, PreQC No. JEOR-22-73476 (PQ); Reviewed date: 14 September, 2022, QC No. JEOR-22-73476; Revised date: 17 January, 2023, Manuscript No. JEOR-22-73476 (R); Published date: 24 January, 2023, DOI: 10.4172/Jeor.1000120
Citation: Etemadinezhad S, Mohsenabadi M, Mousavinasa SN (2023) Accident Prevalence Related to Psychosocial Risk Factors for Northeast of Iran Workers: COPSOQ-III Index of Persian Version. J Ergon Res 6:1
Abstract
Background: Most of psychologists and midwifery centers are trying to control the anxiety and stress in pregnant and nursing mothers.
Aim: We provided the investigation to assess the effect of global pandemic of a viral infectious on mothers’ anxiety.
Method: The present cross-sectional investigation, performed among three groups of Iranian women including 89 pregnant, 66 lactating and 105 non pregnant milking mothers as the "control group". The Spielberger Anxiety Scale (STAI) was used to assess the anxiety level during COVID-19 pandemic and to compare the knowledge effect on anxiety, we designed a 14 items questionnaire about COVID-19.
Findings: The extracted results from showed that the mean score of STAI was moderate to severe level (42.4 to 51 score) in all groups. The state anxiety was significantly meaningful between groups (P=0.03). The linear association between knowledge about COVID-19 and anxiety of mothers have revers significant relation (P=0.004).
Discussion: Developing the knowledge of mothers can affect their anxiety and is possible with intervention by counselors and social media. It can control the state of social anxiety, too.
Conclusions: The results demonstrated that the anxiety scale was significantly moderate to severe among all pregnant women. State anxiety is meaningful for the groups and had significant relation to their knowledge about COVID-19. As the participants are exposed to external anxiety factors such as income. The results can be used in midwifery counseling educations to ease the anxiety of mothers during pandemics.
Keywords: Midwifery education, Anxiety, Pregnant mothers, Nursing mothers, COVID-19
Introduction
Problem: The effect of environmental stressors, especially an acute respiratory infectious pandemic can significantly affect mothers’ psychosocial conditions. Although they are considering baby care and family training, they must be worried about pandemics and infectious diseases.
What is already known: Numerous studies have shown the significant effect of psychological and stress conditions on people's health caused by COVID-19 pandemics.
What this paper adds: The present survey explores the effect level of the COVID-19 pandemic on the stress and anxiety of pregnant mothers, nursing mothers and normal mothers of the Iranian women population.
Reports of the article demonstrate that mothers in the same conditions such as pandemics need to be educated and receive midwifery counseling interventions to stabilize mothers’ psychological conditions.
Since December 2019 an unknown pneumonia was spread in Wuhan, Hubei Province, China [1]. Reports demonstrated that the infection with the virus causes severe acute respiratory syndrome. The virus can be easily transmitted to other people through respiratory particles and due to the spread speed of this disease among different communities and conflicts in all of countries during less than 6 months, till the present day (Feb 2022), more than 149 million people have been infected and caused more than 5 million death all around the word [2-4]. The reports (CDC and Google) indicate more than 12 thousand deaths per day around the world. However, vaccinating people could reduce the death rate of this infection, but different versions of the virus make fear on people of communities [5].
Some reports from patients and the family around them, have shown varying degrees of anxiety and stress [6]. Symptoms of the disease, which include mild to severe fever, digestive disorders (diarrhea and vomiting), shortness of breath, cough and sneezing and limb pain, can be confused with any similar symptom and varying degrees of sleep problems, depression, stress and anxiety. The ignorance of this virus and its widespread symptoms, which can overlap with other disease such as influenza, colds, sinusitis and even some allergic symptoms, cause stress and anxiety in people [7-9].
Women are the most sensitive members of human society in the occurrence of stressful events. Women on the population are include girls, pregnant mothers, lactating mothers and adult mothers. According to the previous researches, demonstrated that anxiety have different effects on pregnant mothers such as preterm delivery, that can make several problems for mother and the infant [10-12]. In the stressful situation, the milk of lactating mothers is affected too. This situation can reduce mothers’ milk quality and quantity and also can make them stop milking the baby. Breastfeeding women who are in a very sensitive period and according to many studies, it has been shown that their anxiety and stress cause changes in the process of breastfeeding the baby and can affect the quality and performance of the mother during breastfeeding as well as continuation of breastfeeding for up to 24 months has a very important effect [6].
However, women suffer from innate anxiety for various natural and physiological reasons. Many studies have shown that pregnant women suffer from anxiety and pregnancy stress, which can sometimes lead to postpartum depression due to lack of control. Going through the female hormonal courses that occur naturally for them every month, also disturbs their mental and psychological moods [11-13].
Till the day of start of this study, no researches had been performed on mental state of individuals, especially, the Iranian women, in order to measure their anxiety. However, nowadays, Sherman [13], developed Coronavirus Anxiety scale (CAS), there is no Iranian version or research on this content.
One of the factors that can contribute to the anxiety and stress caused by emerging diseases is the lack of knowledge about the symptoms, ways of transmission and ways to avoid the disease, which is no exception for the new coronavirus [14,15]. Bejama, Oster and Mac in a study have been shown this anxiety is prevalence about COVID-19 due to the unknown and ambiguous nature of the virus. Fear of the unknown things, reduces the perception of safety in humans and has always been anxious for humans and little scientific information increases anxiety [16]. Therefore, in this situation, people in the community seek to receive more information to address this concern, while the same anxiety can prevent them from accessing accurate information. This can also be facilitated by providing various trainings through mass media, pamphlets, posters, telephone calls and remote consultations. For this purpose, this study tries to show the effect of awareness through telephone calls and online counseling by distributing educational images, including designed and approved pamphlets, on the level of anxiety and stress in women in Mazandaran province.
Materials and Methods
Population
This study is a cross-sectional investigation, among three groups of Iranian women including Pregnant Mothers (PM), Milking Mothers (MM) and Non-Pregnant Milking Mothers (NPM). Pregnant Mothers (PM), were group of mothers whom are at least in 2nd trimester of pregnancy and 89 of 102 pregnant women agreed to participate in this study [17].
Milking Mothers (MM) were mothers with neonatal under 24 month babies who had their baby fed with milk? While the pandemic was on the peak situation, we only had access to 75 mothers, but only 66 of them completed valid questionnaire [18].
Non Pregnant Milking Mothers (NPM) were containing mothers and women with no baby and not pregnant during the investigation. This group was analyzed as control group to know what are the effects of pandemic on mothers’ stress and anxiety. We could contact with 115 women and 105 accepted our request to participate on this study [19].
Tools and data collection
Socio demographic characteristics: Some related socioeconomic and demographic information have been considered as independent factors. The age, education level and the job of the participant and her husband, number of previous children and count of previous pregnancy of participants and date of pregnancy were reported in the first step of the questionnaire. All of the participants were Iranian married women and not have been divorced or single during the research [20].
STAI questionnaire: The Spielberger State-Trait Anxiety Scale (STAI) was used to assess anxiety level of participants during COVID-19 pandemic situation. This scale contains two parts as evident anxiety in which personal senses are evaluated at the moment of filling the questionnaire and hidden anxiety, in which general feelings of participants, with 20 items for each part and 40 items as total. The STAI score ranges from 40 to 160 that divide to “low anxiety”, “moderate anxiety” and “severe anxiety”. The participants must to choose any choices of “never”, “sometimes”, “many times” and “very much” that count 1 to 4 points for each item. Some of the questions had reversed answers to analyze the truth of answers contains: 1, 2, 5, 8, 10, 11, 15, 16, 19, 20 for State anxiety and 21, 23, 26, 27, 30, 33, 34, 36 and 39 in Trait anxiety items [21-24].
The reliability and validity of the Persian STAI questionnaire was evaluated with Cronbach alpha score of 0.90 by Mahram.
COVID-19 knowledge questions: The participants were prompt to fill the 14 Y-N questions designed by the research team to assess their knowledge about COVID-19 pandemic and its side effects on health of population. Correct answers had 1 score and wrong answers had 0. Finally, the worst and best knowledge had 0 to 14 scores. The questions were about the characteristics of the infection, pandemic situation, how to rescue, how to treat, nutrition and drugs, etc.
However, it was forbidden to traffic in most of cities during the pandemic, so, to ease the access to mothers, we designed an online questionnaire on Porsline.ir Online portal and were published by the research team on virtual networks for the participants and 82 of them completed online.
Data analysis
After collecting whole questionnaires, SPSS analyze software was used to evaluate the relations and significance of the answers on anxiety during pandemic with descriptive analyzes, ANOVA, chi-square, multiple comparisons, spearman exam, etc.
Results
Participants
During the investigation, 308 women were total individuals with entry criterion of research. But only 260 of them approved to participate. Finally, the population were divided into three groups of pregnant mothers or PM group (89 individuals), milking mothers or MM group (66 individuals) and non pregnant milking mothers or NPM as a Control group (105 Women). The mean age of the mothers was 34.25 (± 8.80) years old. Table 1 shows all sociodemographic information of participants. Most of them were graduated in MD and university (46.2%) and 143 individuals (55.0%) of them were housewives.
Socio demographic characteristics | N | % | |
---|---|---|---|
Education | Elementary | 5 | 1.9 |
Diploma | 66 | 25.8 | |
College | 17 | 6.5 | |
MD | 120 | 46.2 | |
Ms | 45 | 17.3 | |
PhD | 3 | 1.2 | |
Others | 3 | 1.2 | |
Job | Housewife | 143 | 55 |
Office | 57 | 21.9 | |
Teacher | 17 | 6.5 | |
Health care | 20 | 7.7 | |
Others | 12 | 8.9 | |
Income (M Rials per month) | <25 | 91 | 35 |
25-50 | 106 | 40.8 | |
50-100 | 62 | 23.8 | |
>100 | 7 | 0.4 |
Table 1: Socio demographic characteristics of 260 women participated in the investigation.
According to the ANOVA test of above answers, income of the families had significant meaning with total anxiety of mothers (P<0.05).
The reports about children counts and maternal characteristics are showed in Table 2.
Children counts and maternal characteristics | N | % | |
---|---|---|---|
Pregnancy count | First mother | 87 | 33.5 |
Multipar | 173 | 66.5 | |
Birth type | Normal | 28 | 10.8 |
Section | 43 | 16.5 | |
NA* | 189 | 72.7 | |
Feed type | Exclusive | 55 | 21.2 |
Artificial | 6 | 2.3 | |
Mixed | 5 | 1.9 | |
Child Count | None | 81 | 31.2 |
01 Feb | 155 | 59.6 | |
3 and more | 24 | 9.2 | |
Note: *Participants hadn’t assigned birth type. |
Table 2: Count of previous children and maternal characteristics.
COVID-19 knowledge questionnaire
The research team conducted a self-report questionnaire to notify and assess the knowledge of participants about COVID-19 dimensions and it let us know the relations between anxiety and their knowledge. All of the participants answered the 14 Y-N questions about COVID-19. The related information of the answers is showed in Table 3 and correlation of the COVID-19 knowledge items are excluded in Table 4.
Questionnaires | Correct | False | Total | ||
---|---|---|---|---|---|
N | % | N | % | ||
Q1 | 257 | 98.8 | 3 | 1.2 | 260 |
Q2 | 254 | 97.7 | 6 | 2.3 | 260 |
Q3 | 136 | 52.3 | 124 | 47.7 | 260 |
Q4 | 240 | 92.3 | 20 | 7.7 | 260 |
Q5 | 245 | 94.2 | 15 | 5.8 | 260 |
Q6 | 169 | 65 | 91 | 35 | 260 |
Q7 | 248 | 95.5 | 12 | 4.6 | 260 |
Q8 | 240 | 92.3 | 20 | 7.7 | 260 |
Q9 | 160 | 61.5 | 100 | 38.5 | 260 |
Q10 | 70 | 26.9 | 190 | 73.1 | 260 |
Q11 | 240 | 92.3 | 20 | 7.7 | 260 |
Q12 | 145 | 55.8 | 115 | 44.2 | 260 |
Q13 | 250 | 96.2 | 10 | 3.8 | 260 |
Q14 | 231 | 88.8 | 29 | 11.2 | 260 |
COVID Total Score | Range | Mean | SD | ||
Jul-14 | 11.1 | 1.4 |
Table 3: COVID-19 knowledge questionnaire results.
Pearson correlation coefficient | ||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Q1 | Q2 | Q3 | Q4 | Q5 | Q6 | Q7 | Q8 | Q9 | Q10 | Q11 | Q12 | Q13 | Q14 | |
Q1 | 1 | |||||||||||||
Q2 | <0.001 | 1 | ||||||||||||
Q3 | 0.51 | 0.47 | 1 | |||||||||||
Q4 | <0.001 | 0.017 | 0.25 | 1 | ||||||||||
Q5 | <0.001 | 0.003 | 0.01 | 0.66 | 1 | |||||||||
Q6 | 0.2 | 0.93 | 0.87 | 0.14 | 0.018 | 1 | ||||||||
Q7 | <0.001 | 0.001 | 0.67 | 0.23 | 0.003 | 0.266 | 1 | |||||||
Q8 | 0.61 | 0.47 | 0.49 | <0.001 | <0.001 | 0.05 | 0.001 | 1 | ||||||
Q9 | 0.17 | 0.55 | 0.4 | 0.2 | 0.03 | <0.001 | 0.11 | 0.025 | 1 | |||||
Q10 | 0.12 | 0.002 | 0.91 | 0.47 | 0.56 | 0.46 | 0.87 | 0.84 | <0.001 | 1 | ||||
Q11 | 0.09 | 0.47 | 0.8 | 0.2 | 0.87 | 0.33 | 0.93 | 0.2 | 0.19 | 0.84 | 1 | |||
Q12 | 0.12 | 0.17 | 0.14 | 0.02 | 0.73 | <0.001 | 0.31 | 0.69 | 0.08 | 0.02 | 0.18 | 1 | ||
Q13 | <0.001 | <0.001 | 0.74 | 0.13 | 0.4 | 0.73 | 0.01 | 0.35 | 0.06 | 0.61 | 0.35 | 0.78 | 1 | |
Q14 | 0.53 | 0.38 | 0.04 | 0.04 | <0.001 | 0.087 | 0.75 | 0.04 | 0.01 | 0.03 | 0.86 | 0.26 | 0.25 | 1 |
Table 4: Internal correlation of COVID-19 knowledge questionnaire.
State and trait anxiety | N | Mean | Std. deviation | Std. error | 95% confidence interval for mean | Minimum | Maximum | ||
---|---|---|---|---|---|---|---|---|---|
Lower Bound | Upper Bound | ||||||||
State | Pregnant | 89 | 49.55 | 6.747 | 0.715 | 48.13 | 50.97 | 28 | 68 |
Milking | 66 | 46.14 | 7.487 | 0.922 | 44.3 | 47.98 | 29 | 68 | |
NPM | 105 | 48.21 | 8.409 | 0.821 | 46.58 | 49.84 | 28 | 70 | |
Total | 260 | 48.14 | 7.722 | 0.479 | 47.2 | 49.09 | 28 | 70 | |
Trait | Pregnant | 89 | 44.56 | 6.895 | 0.731 | 43.11 | 46.01 | 31 | 64 |
Milking | 66 | 43.59 | 6.31 | 0.777 | 42.04 | 45.14 | 28 | 54 | |
NPM | 105 | 45.44 | 8.966 | 0.875 | 43.7 | 47.17 | 26 | 68 | |
Total | 260 | 44.67 | 7.679 | 0.476 | 43.73 | 45.61 | 26 | 68 |
Table 5: STAI questionnaire descriptive results; state and trait questions divided.
As the results demonstrated, age and job of participants have significant relation with their knowledge about COVID-19 (respectively P-value=0.03 and 0.04). Surprisingly, individuals’ awareness of COVID-19 decreased with arising their age. Additionally, there is a borderline significant relationship with the husbands’ education level with their awareness of COVID-19 (P-value=0.052).
STAI results
State and trait questions were separated in the questionnaire to assure the reason of the anxiety sources. Descriptive results of the STAI questionnaire are showed.
According to the collected data, statistical analysis demonstrated that pregnant and milking mothers have medium levels of anxiety and it has meaningful relationship among the groups (P-value=0.006). State anxiety is more significant between groups (P-value=0.024). State and trait anxiety level between groups are showed in Table 6.
State and trait anxiety | Group | Total | |||
---|---|---|---|---|---|
Pregnant | Milking | NPM | |||
State | Low | 17 | 37 | 34 | 88 |
Mild | 51 | 29 | 69 | 149 | |
Severe | 21 | 0 | 2 | 23 | |
Total | 89 | 66 | 105 | 260 | |
Trait | Low | 58 | 49 | 50 | 157 |
Mild | 29 | 17 | 52 | 98 | |
Severe | 2 | 0 | 3 | 5 | |
Total | 89 | 66 | 105 | 260 |
Table 6: State and trait anxiety among participated groups.
As the Table 6 shows, most of the mothers have low to mild anxiety but its more significantly sever in pregnant mothers (23.6%).
In a correlation analysis between STAI anxiety and sociodemographic factors, it has been reported that there is a significant relation between age and job of the women and inversed meaningful relation between count of children, educational level of husband and family income with state anxiety of women (P-value= 0.002). It means that the more child they have, the less anxiety they show. Elder and more educated husbands can decrease anxiety of women, too (P-value=0.03) (Table 7).
Statistics | Statistics | ||||||
---|---|---|---|---|---|---|---|
F | % | F | % | ||||
Gender | Male | 173 | 70.6 | Job | Industrial | 111 | 45.3 |
Female | 72 | 29.4 | Office | 84 | 34.3 | ||
Education | Elementary | 11 | 4.5 | Services | 14 | 5.7 | |
Diploma | 28 | 11.4 | Medical Care | 10 | 4.1 | ||
AD | 54 | 22 | Transportation | 7 | 2.9 | ||
BA/BS | 111 | 45.3 | Security | 13 | 5.3 | ||
MD/MS | 35 | 14.3 | Training | 2 | 0.8 | ||
PhD | 6 | 2.4 | Other | 4 | 1.6 | ||
Employment | Organization | 48 | 19.6 | Task | Manager | 33 | 13.5 |
Agreement | 106 | 43.3 | Assistant | 15 | 6.1 | ||
Companies | 68 | 27.8 | Supervisor | 17 | 6.9 | ||
Other | 23 | 9.4 | Officer | 80 | 32.7 | ||
Worker | 75 | 3.6 | |||||
Other | 25 | 10.2 |
Table 7: Socio demographic discriptive statistics (N=245).
The correlation between state anxiety and the awareness level of participants shows an inversed significant relationship that demonstrate the aim of this research (P-value=0.004). It means that knowledge development about the COVID-19 pandemic can decrease anxiety among mothers (Table 8).
Dimensions | N=245 | %F** | %C** | ||
---|---|---|---|---|---|
Mean | SD | ||||
Qualitative Demands | QD1 | 47.75 | 27.02 | 9.4 | 18.5 |
QD2 | 13.8 | 9.8 | |||
QD3 | 25.4 | 15.6 | |||
Work Pace | WP1 | 61.32 | 23.99 | 5.8 | 20.7 |
WP2 | 1.1 | 17.8 | |||
Emotional Demands | ED1 | 48.8 | 25.72 | 18.8 | 15.2 |
ED2 | 13.4 | 17.4 | |||
ED3 | 12.3 | 10.5 | |||
Demands for Hiding Emotions | HE1 | 56.31 | 17.92 | 15.9 | 10.9 |
HE2 | 10.5 | 13 | |||
HE3 | 7.2 | 27.2 | |||
Influence at Work | IN1 | 58.75 | 24.29 | 6.9 | 15.6 |
IN2 | 17 | 14.9 | |||
IN3 | 18.8 | 14.9 | |||
IN4 | 5.4 | 32.6 | |||
Control Over Working Time | CT1 | 35.66 | 23.78 | 17.8 | 10.9 |
CT2 | 31.9 | 3.6 | |||
CT3 | 21.7 | 6.5 | |||
CT4 | 61.6 | 10.5 | |||
Social Support from Supervisor | SS1 | 62.95 | 26.21 | 5.4 | 29.7 |
SS2 | 6.5 | 19.6 | |||
Social Support from Colleagues | SC1 | 53.66 | 25.24 | 8.7 | 13 |
SC2 | 9.8 | 15.2 | |||
Sense of Community at Work | SW1 | 76.22 | 23.69 | 6.2 | 36.6 |
SW2 | 4.3 | 50.7 | |||
Possibilities for development | PD1 | 65.9 | 23.77 | 6.2 | 25.7 |
PD2 | 6.2 | 28.6 | |||
PD3 | 8 | 21.7 | |||
Meaning of Work | MW1 | 79.34 | 20.7 | 4.7 | 38 |
MW2 | 1.4 | 52.2 | |||
Predictability | PR1 | 64.4 | 22.04 | 7.2 | 13.8 |
PR2 | 2.9 | 17.8 | |||
Recognition | RE | 56.52 | 30.6 | 9.4 | 19.6 |
Role Clarity | CL1 | 76.2 | 18.6 | 5.1 | 34.8 |
CL2 | 1.4 | 35.9 | |||
CL3 | 3.6 | 35.5 | |||
Role Conflicts | CO1 | 50.92 | 22.96 | 11.2 | 11.2 |
CO2 | 7.6 | 8.3 | |||
Illegitimate Tasks | IT | 46.19 | 30.8 | 17.4 | 10.9 |
Quality of Leadership | QL1 | 62.62 | 23.01 | 7.2 | 16.7 |
QL2 | 5.1 | 21.7 | |||
QL3 | 5.4 | 19.9 | |||
Job Insecurity | JI1 | 53.08 | 30.46 | 14.5 | 20.7 |
JI2 | 16.3 | 22.5 | |||
Insecurity over Work Conditions | IW1 | 50.9 | 26.69 | 17 | 19.6 |
IW2 | 20.7 | 12.3 | |||
IW3 | 13.4 | 21.4 | |||
Quality of Work | QW | 62.77 | 25.45 | 5.1 | 14.5 |
Horizontal Trust | TE | 56.43 | 27.56 | 9.8 | 8.7 |
Vertical Trust | TM1 | 67.72 | 21.27 | 3.3 | 20.3 |
TM2 | 2.9 | 29 | |||
TM3 | 7.2 | 17.4 | |||
Job Satisfaction | JS1 | 57.54 | 24.1 | 10.1 | 16.3 |
JS2 | 6.5 | 16.3 | |||
JS3 | 17 | 7.2 | |||
Organizational Justice | JU1 | 57.02 | 26.65 | 6.5 | 141 |
JU2 | 12.3 | 17 | |||
Work Life Conflict | WF1 | 58.74 | 31.04 | 11.6 | 25.7 |
WF2 | 11.6 | 23.6 | |||
General Health | Gh | 61.41 | 28.06 | 8 | 21 |
Note: *Percentage of Floor answers for each question. The floor score was 0. **Percentage of ceiling answers for each question. The ceiling score was 100. |
Table 8: COPSOQ III dimensions and statistics concluded from participants.
In other hand, trait anxiety of women has significant direct relationship with their job and the age of their husbands (P-value< 0.05) and has inversed relation with the family income. COVID-19 awareness has borderline inversed relation with trait anxiety, too (P-value=0.052).
Finally, the total STAI score is significantly related to COVID-19 awareness score among participants (P-value=0.033).
Discussion
The purpose of this study was to identify the psychological effect of the COVID-19 disease on the mental state and anxiety in northern Iranian women during the peak of the pandemic in 2020. The significance of the issue is women vulnerability, as they are the main sources of fertility and training of the human race. Therefore, their physical and mental health can contribute to the health of the society and likewise, their physical and mental problems and diseases can affect the individuals of the society. For this purpose, extensive and numerous researches have been conducted in different parts of the world, which have studied pregnant and nursing mothers and the results are compared and analyzed with this research (Table 9).
Accident | QD | WP | ED | HE | IN | PD | CT | MW | PR | RE | CL | CO | IT | QL | SS | SC | SW | JI | IW | QW | TE | VE | JU | WF | JS | GH | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Accident | 1 | ||||||||||||||||||||||||||
QD | 0.37 | 1 | |||||||||||||||||||||||||
WP | 0.12 | 0 | 1 | ||||||||||||||||||||||||
ED | 0.65 | 0 | 0 | 1 | |||||||||||||||||||||||
HE | 0.82 | 0 | 0 | 0 | 1 | ||||||||||||||||||||||
IN | 0.48 | 0.34 | 0.17 | 0.03 | 0 | 1 | |||||||||||||||||||||
PD | 0.03 | 0.01 | 0.67 | 0.09 | 0 | 0 | 1 | ||||||||||||||||||||
CT | 0.45 | 0.04 | 0.25 | 0.3 | 0.01 | 0 | 0 | 1 | |||||||||||||||||||
MW | 0.42 | 0 | 0.3 | 0.57 | 0.1 | 0 | 0 | 0.47 | 1 | ||||||||||||||||||
PR | 0.84 | 0 | 0.65 | 0.05 | 0.13 | 0 | 0 | 0.22 | 0 | 1 | |||||||||||||||||
RE | 0.55 | 0 | 0.78 | 0.02 | 0.01 | 0 | 0 | 0 | 0 | 0 | 1 | ||||||||||||||||
CL | 0.03 | 0 | 0.54 | 0 | 0.07 | 0 | 0 | 0.3 | 0 | 0 | 0 | 1 | |||||||||||||||
CO | 0.02 | 0 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0.84 | 0.05 | 0.82 | 0.98 | 1 | ||||||||||||||
IT | 0.08 | 0 | 0 | 0 | 0 | 0.04 | 0.04 | 0 | 0.07 | 0.02 | 0.11 | 0.1 | 0 | 1 | |||||||||||||
QL | 0.02 | 0 | 0.13 | 0.01 | 0.37 | 0.07 | 0 | 0.29 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | ||||||||||||
SS | 0.02 | 0 | 0.56 | 0.21 | 0 | 0 | 0 | 0.01 | 0 | 0 | 0 | 0 | 0.08 | 0.03 | 0 | 1 | |||||||||||
SC | 0.05 | 0.38 | 0.6 | 0.76 | 0.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.66 | 0.44 | 0 | 0 | 1 | ||||||||||
SW | 0.54 | 0.02 | 0.08 | 0 | 0.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | |||||||||
JI | 0.03 | 0.08 | 0 | 0 | 0.07 | 0.62 | 0.01 | 0 | 0.3 | 0.37 | 0.36 | 0.97 | 0 | 0.04 | 0.71 | 0.35 | 0.45 | 0.2 | 1 | ||||||||
IW | 0.05 | 0 | 0 | 0 | 0 | 0.54 | 0.53 | 0 | 0.61 | 0.55 | 0.31 | 0.58 | 0 | 0 | 0.99 | 0.76 | 0.46 | 0 | 0 | 1 | |||||||
QW | 0.22 | 0 | 0 | 0 | 0.43 | 0.02 | 0 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0.05 | 0 | 0 | 0 | 0 | 0.5 | 0.46 | 1 | ||||||
TE | 0.78 | 0.01 | 0.16 | 0 | 0.12 | 0 | 0 | 0.01 | 0 | 0 | 0 | 0 | 0.09 | 0.12 | 0 | 0 | 0 | 0 | 0.1 | 0.28 | 0 | 1 | |||||
VE | 0.88 | 0 | 0.9 | 0.01 | 0.25 | 0 | 0 | 0.14 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | 0 | 0 | 0 | 0.66 | 0.43 | 0 | 0 | 1 | ||||
JU | 0.53 | 0 | 0.5 | 0.61 | 0.07 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0.22 | 0.38 | 0 | 0 | 0 | 1 | |||
WF | 0.7 | 0 | 0 | 0 | 0.01 | 0.53 | 0 | 0.03 | 0.01 | 0.01 | 0 | 0.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | ||
JS | 0.44 | 0 | 0.02 | 0 | 0.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01 | 0.06 | 0.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | |
GH | 0.22 | 0 | 0.07 | 0.04 | 0.36 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03 | 0 | 0 | 0 | 0 | 0.06 | 0.05 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
Table 9: The spearman correlation estimated for each question of COPSOQ III and accidents prevalence.
This study was conducted from April and July 2020, in the condition of acute spread of the disease by identifying 89 lactating mothers, 66 pregnant mothers and 105 mothers with children who are neither pregnant nor lactating. A significant increase in maternal anxiety was predicted despite the acute respiratory infection pandemic. Mappa showed a significant increase in fear and anxiety in mothers in the spring of 2020. Berthelot demonstrated an increase in the level of stress, depression and anxiety in women compared to before the pandemic; also, Yassa examined the concerns and knowledge of near term women, stated that more than a third of individuals expressed concern about contracting the COVID-19 disease and 80% of them were anxious about the pace of spread, as the results are consistent with the level of anxiety of participants on the present report. This level of anxiety was more significant on pregnant mothers as they were concerned about the health of their infants.
In a survey of nursing students' knowledge about the COVID-19 pandemic and their anxiety, Yuyan was reported that students' anxiety reduces their performance in hospitals. This survey among 474 students showed that the anxiety and stress caused by the pandemic was related to the gender of the participants and women had more than 11% increase of disruptions in their jobs and activities than men. In this study, the level of awareness of the disease had an inverse relationship with their level of anxiety. Comparing similar conditions during the outbreak of H1N1 influenza, it has shown the anxiety of pregnant women regarding contracting and transmitting the virus from others, which was also consistent with the report of this study. It means that the more knowledge they had, the less anxiety they exposed (P-value=0.004).
Patricia by examining the experience of anxiety and stress of pregnant women and new mothers during the beginning of the pandemic among 524 women with an average age of 33 years, showed that anxiety and depression symptoms had a significant relationship with the family income level, which is in line with the results of the present article (P-value=0.002).
In the study of the relationship between the anxiety of nursing mothers during the COVID-19 pandemic, by Simangkalit, it was pointed out that 70% of the target population did not have enough knowledge, that about 50% of the entire population suffered from high anxiety, which has a significant meaningful relation between awareness and anxiety (P-value=0.004) and the investigations proves the consistency of the results of the present study.
Conclusion
Pregnant women are vulnerable of stressful and anxiety factors. The high pace spread of COVID-19 can make mothers concerned and speculated regarding contracting acute respiratory infectious diseases. Economic wellbeing and family support are also among the contributing factors in reducing their anxiety.
Psychological groups, consultation obstetrician, social support providers and health care groups can implement faster and appropriate interventions for mothers using all the collected information reported in this investigation, to reduce their anxiety.
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