Atheer Kadhim Ibadi*
Department of Pharmacy, Kufa Institute, Al-Furat Al-Awsat Technical University, 31001 Kufa, Al-Najaf, Iraq
*Corresponding author: Atheer Kadhim Ibadi, Department of Pharmacy, Kufa Institute, Al-Furat Al-Awsat Technical University, 31001 Kufa, Al-Najaf, Iraq; Email: [email protected], [email protected]
Received Date: January 16, 2023
Publication Date: January 31, 2023
Citation: Ibadi AK, et al. (2023). Children Under 5 Years Old Mortality and Associated Factors. Mathews J Case Rep. 8(1):84.
Copyright: Ibadi AK, et al. © (2023)
ABSTRACT
Mortality of a child, also defined as under-5 years mortality or child death, indicates the death of children under five or the ages between one month to four years. Many deaths in developing countries go unreported since many low-income families cannot afford to register their babies in the official government registry. A cross-sectional study was conducted in this study for the period of study. This study was carried out from 24/12/2021 to 11/ 3/2021 in two governmental hospitals: AL Zahra teaching hospital and the Al Hakeem hospital in Al Najaf AL Ashraf province. The study sample was children under five years old who were diagnosed with death and living in Al-Najaf province.
This study's findings show that the highest numbers of respondents, 50%, were married at age 13-18 years. 64% of the total number were from rural areas, and according to family income, 60% of respondents had a family income range from 501- 1.000.000 IQD. According to obstetrical history, 93% of women had died fetus 59% of them died in the third trimester. 30% of women had died children under five years of age. 63% of these events happened for different reasons. In addition, 61% of mothers had a medical history. However, 55% of fathers had the same medical history except for liver diseases. Also, there was 16% of parents had an incompatible blood group. According to history using medications, 73% of mothers have a history of medication use.
Keywords: Mortality, Children, Under-five years, Al-Najaf
INTRODUCTION
Mortality of a child, also defined as under-5 years mortality or child death, indicates the death of children under five or the ages between one month to four years. Many deaths in developing countries go unreported since many low-income families cannot afford to register their babies in the official government registry. A child's death is emotionally hard on their parents and their relationship as a couple. 6.3 million live-born children were estimated in 2013 worldwide to die before five years (Liu et al., 2017) [1]. This estimated number decreased from 9.9 million in 2000, despite an increase in the number of live births, showing that countries have made significant progress in improving child survival since the millennium turn. Nevertheless, Millennium Development Goal 4 to reduce estimated child mortality by two-thirds from 1990 to 2015 will possibly only be accomplished by a few nations (You et al., 2010) [2].
The reasons for children's mortality rate differed from one place to another; in 2016, the annual number of deaths from diarrhea reported among Chinese children <5 years from all-cause diarrhea was 42%. Of the 53.5 rotavirus diarrhea deaths, it is estimated that 92.7% (49.6) occurred in rural areas (Zhang et al., 2015) [3]. In East Delhi, one study was conducted on children aged six months to 5 years admitted to the pediatric emergency department during the study period from February 2012 to March 2013; this study found that 36% of children had clinical features of vitamin deficiency, and 51.1% of children were underweight (Sakshi Sachdeva et al. 2016) [4]. In 2015, among the 5.941 million children who did not live to age 5, 2.681 million (45.1%) died in the neonatal period (figure 1). The leading causes of death in children under 5 were preterm birth complications (Li Liu et al., 2015) [5]. This study aims to describe children's sociodemographic characteristics, determine the causes of mortality of children under five years old and determine the associated factors causes of mortality of children under five years old.
METHODOLOGY
Study Settings
A cross-sectional study was conducted in this study for the period of study. This study was carried out from Mar. 2021 to Des. 2021; two governmental hospitals are AL Zahra Teaching Hospital and the Al Hakeem Hospital in Al Najaf AL Ashraf province. The study sample was women who died of children under five years old living in Al-Najaf province.
Study Sample
One hundred cases were selected by using simple random sampling. The p in the sample size calculation is taken from the previous study (Ibadi, 2019) [6], with a confidence interval of p = 0.05 and a power of study 1.645.
Data Collection
A structured questionnaire form was applied to gather data to elicit information from the study participants. The questionnaire included the following information.
Statistical Analysis
Statistical Package for the Social Sciences (SPSS) version 21 was used to analyze the data. Descriptive statistics were calculated for selected numerical and categorical variables for descriptive data.
Ethical Consideration:
Al-Najaf Health Directorate was permitted to do this work. Written consent was taken from all participants.
RESULTS
Table 1: Sociodemographic features of respondents
Items |
Freq. |
% |
|
|
|||
Mother age group at marriage |
13-18 Y |
50 |
50.0 |
|
|
||
19-24 Y |
49 |
49.0 |
|
|
|||
25 and more |
1 |
1.0 |
|
|
|||
Geographic distribution |
Rural |
36 |
36.0 |
|
|
||
Urban |
64 |
64.0 |
|
|
|||
Family income* |
|
|
|
|
|||
|
200-500 |
35 |
35.0 |
|
|
||
|
501-1.000.000 |
60 |
60.0 |
|
|
||
|
1.001.000 -1.500.000 |
2 |
2.0 |
|
|
||
|
1.501.000 -2.000.000 |
3 |
3.0 |
|
|
||
Education level |
Mother |
Father |
|||||
|
Never been to school |
22 |
22.0 |
7 |
7.0 |
||
|
Primary level |
26 |
26.0 |
14 |
14.0 |
||
|
Secondary level |
28 |
28.0 |
21 |
21.0 |
||
|
Tertiary level |
11 |
11.0 |
16 |
16.0 |
||
|
Diploma |
9 |
9.0 |
26 |
26.0 |
||
|
Bachelor |
4 |
4.0 |
14 |
14.0 |
||
|
Master degree |
0 |
0 |
1 |
1.0 |
||
|
D, degree |
0 |
0 |
1 |
1.0 |
||
Job |
Mother |
Father |
|||||
|
Not work |
84 |
84.0 |
4 |
4.0 |
||
|
Legislator, senior official manager |
3 |
3.0 |
16 |
16.0 |
||
|
Technicians and associate professionals |
6 |
6.0 |
13 |
13.0 |
||
|
Clerks |
4 |
4.0 |
7 |
7.0 |
||
|
Skilled agriculture and fishery workers |
1 |
1.0 |
18 |
18.0 |
||
|
Plant and machine operator assemblers |
2 |
2.0 |
23 |
23.0 |
||
|
Service workers. shop, market sales workers |
0 |
0 |
3 |
3.0 |
||
|
Skilled agriculture and fishery workers |
0 |
0 |
7 |
7.0 |
||
|
Craft and related treads workers |
0 |
0 |
2 |
2.0 |
||
|
Plant and machine operator assemblers |
0 |
0 |
7 |
7.0 |
*IQD (Iraqi Dinar)
Table one shows that the most significant number of respondents, 50%, were married at age 13-18 years. 64% of the total number were from rural areas, and according to family income, 60% of respondents had a family income range from 501- 1.000.000 IQD. 28% of women had a secondary education level; however, 26% of husbands had diplomas. Finally, 84% of women were housewives, and 23% of men were working as plant and machine operators' assemblers
Table 2: Obstetrical history of mothers.
Items |
Freq. |
Percent |
|
Have fetus died during pregnancy |
|||
|
No |
7 |
7.0 |
|
First trimester |
16 |
16.0 |
|
Second trimester |
18 |
18.0 |
|
Third trimester |
59 |
59.0 |
Have the child died under five years |
|||
|
No |
70 |
70.0 |
Yes |
30 |
30.0 |
|
What reasons |
|||
|
Unknown |
63 |
63.0 |
|
Accident |
11 |
11.0 |
|
Rubella |
13 |
13.0 |
|
Hepatitis |
7 |
7.0 |
|
Deformities |
6 |
6.0 |
Reviewing of health center during pregnancy |
|||
|
No |
8 |
8.0 |
|
Yes |
92 |
92.0 |
Bad obstetrical history |
|||
|
No |
40 |
40.0 |
|
Abortion |
39 |
39.0 |
|
Neonatal death |
16 |
16.0 |
|
Stillbirth |
5 |
5.0 |
|
Unexpected fetus death |
44 |
44.0 |
According to obstetrical history, 93% of women had died fetus 59% of them died in the third trimester. 30% of women had died children under five years of age. 63% of these events happened for different reasons, 63% were unknown, accidents caused 11%, infectious diseases caused 20%, and 6% caused deformities. The ordinary bad obstetrical conditions were 39% abortions, 16% neonatal death, 5% stillbirth, and 44% unexpected fetus death.
Table 3: Medical history of mothers.
Medical history |
Father |
Mother |
|||
Medical Conditions |
Freq. |
% |
Freq. |
% |
|
|
No |
45 |
45.0 |
39 |
39.0 |
Hypertension |
18 |
18.0 |
21 |
21.0 |
|
Diabetics |
11 |
11.0 |
11 |
11.0 |
|
Anemia |
9 |
9.0 |
12 |
12.0 |
|
Kidney diseases |
3 |
3.0 |
7 |
7.0 |
|
Liver diseases |
2 |
2.0 |
0 |
0 |
|
Asthma |
9 |
9.0 |
8 |
8.0 |
|
Heart disease |
3 |
3.0 |
2 |
2.0 |
|
Different blood type |
|
|
|
|
|
|
No |
84 |
84.0 |
|
|
|
Yes |
16 |
16.0 |
|
|
Using of medications |
|
|
|
|
|
|
No |
27 |
27.0 |
|
|
|
Yes |
73 |
73.0 |
|
|
Hereditary disease |
|
|
|
|
|
|
No |
72 |
72.0 |
|
|
|
Yes |
28 |
28.0 |
|
|
Take vitamins during pregnancy |
|
|
|
|
|
|
No |
44 |
44.0 |
|
|
|
Yes |
56 |
56.0 |
|
|
Take vaccines during pregnancy |
|
|
|
|
|
|
No |
18 |
18.0 |
|
|
|
Yes |
82 |
82.0 |
|
|
What is medication |
|
|
|
|
|
|
No |
27 |
27.0 |
|
|
|
NSAIDS |
29 |
29.0 |
|
|
|
Antimicrobial drugs |
20 |
20.0 |
|
|
|
Vit. A |
12 |
12.0 |
|
|
|
Anti-depressant |
3 |
3.0 |
|
|
|
Hormones |
5 |
5.0 |
|
|
|
Laxative |
4 |
4.0 |
|
|
Table three shows 61% of mothers had a medical history (hypertension, diabetes, anemia, kidney diseases, liver diseases, asthma, and heart diseases). However, 55% of fathers had the same medical history except for liver diseases. Also, there was 16% of parents had an incompatible blood group. According to history using medications, 73% of mothers have a history of medication use (NSAIDS, antimicrobial drugs, Vit. A, anti-depressant, hormones, and laxatives).
Table 4: Medical history of current children.
Feeding of child |
Freq. |
% |
|
|
Breastfeeding |
31 |
31.0 |
|
Artificial feeding |
33 |
33.0 |
|
Both |
36 |
36.0 |
Have malnutrition |
|||
|
No |
82 |
82.0 |
|
Yes |
18 |
18.0 |
Had previous abnormalities |
|||
|
No |
87 |
87.0 |
|
Yes |
13 |
13.0 |
Had infection diseases |
|||
|
No |
39 |
39.0 |
|
Yes |
61 |
61.0 |
Type of infectious diseases |
|||
|
No |
39 |
39.0 |
|
Scarlet fever |
16 |
16.0 |
|
Diphtheria |
16 |
16.0 |
|
Whooping cough |
14 |
14.0 |
|
Polio |
1 |
1.0 |
|
Measles |
2 |
2.0 |
|
Smallpox |
2 |
2.0 |
|
Hepatitis |
10 |
10.0 |
Table four's findings reveal that 31% of children depended on breastfeeding, and 33% depended on artificial feeding. In addition. 18% had malnutrition, 13% had abnormalities, and 61% suffered from infectious diseases.
Table 5: Correlations between mortality of children and other factors.
Items |
Have a child under 5 years |
Infected with diseases |
Medical history of the mother |
Taken medication |
Bad obstetric history |
|
Dose the family have been died child under 5 years |
Pearson Correlation |
1 |
.744** |
.116 |
.259** |
.335** |
Sig. |
|
.000 |
.250 |
.009 |
.001 |
|
Infected with diseases |
Pearson Correlation |
.744** |
1 |
.053 |
.185 |
.201* |
Sig. |
.000 |
|
.600 |
.066 |
.045 |
|
Medical history of the mother |
Pearson Correlation |
.116 |
.053 |
1 |
.012 |
.077 |
Sig. |
.250 |
.600 |
|
.906 |
.445 |
|
Taken medication |
Pearson Correlation |
.259** |
.185 |
.012 |
1 |
-.044- |
Sig. |
.009 |
.066 |
.906 |
|
.666 |
|
Bad obstetric history |
Pearson Correlation |
.335** |
.201* |
.077 |
-.044- |
1 |
Sig. (2-tailed) |
.001 |
.045 |
.445 |
.666 |
|
**Correlation is significant at the 0.01 level (2-tailed).
*Correlation is significant at the 0.05 level (2-tailed).
This table shows a significant correlation between the death of children under five years with infected children by diseases, the medical history of the mother, taking medications during pregnancy, and the bad obstetric history of mothers.
DISCUSSION
Table one shows that the greatest number of respondents 50%, were married at age 13-18 years. 64% of the total number were from rural areas, and according to family income, 60% of respondents had a family income range from 501- 1.000.000 IQD. 28% of women had a secondary education level; however, 26% of husbands had diplomas. Finally, 84% of women were housewives, and 23% worked as plant and machine operators' assemblers. Paul P. (2019) [7] confirmed this result in India; he found that the prevalence of morbidity and mortality were crucially higher among the births of women who married before 18 years of age, and there was a positive association (Paul, 2019) [7]. Many developing nations, particularly South Asian countries and Africa, could not reach the goal of MDG 4. moreover, the mortality of children under five years remains pervasive among lower-middle-income countries (Liu et al., 2016) [1]. Moreover, about 10 million reductions in under-five mortality are required to meet the Sustainable Development Goals (SDGs) target between 2018 and 2030 (Hug et al., 2018) [8]. Morbidity and mortality of under-five children are determined by a complex interplay of socioeconomic and environmental conditions (Bates et al., 2004; Eisenberg et al., 2007) [9,10]. Previous studies have indicated that socioeconomic and ecological vulnerabilities and adverse maternal health status increase the risk of early delivery and low weight at delivery (Imdad and Bhutta 2012; Ganchimeg et al. 2014) [11,12].
According to obstetrical history, 93% of women had died fetus 59% of them died in the third trimester. 30% of women had died children under five years of age. 63% of these events happened for different reasons, 63% were unknown, accidents caused 11%, infectious diseases caused 20%, and 6% caused deformities. The common bad obstetrical conditions were 39% abortions, 16% neonatal death, 5% stillbirth, and 44% unexpected fetus death. This result was very near to the finding by Singh and Sidhu in 2010; they found that 50-60% of all first-trimester pregnancy losses harbor a chromosomal abnormality, which leads to abnormal growth and development of the pregnancy. Most abnormal pregnancies fail in the first trimester (Singh and Sidhu, 2010) [13]. Many studies have also found multiple bad obstetric issues associated with under-5 child mortality (Uthman et al., 2008; Olusanya, 2011; Alam, Van Ginneken & Bosch, 2007) [14-16].
Tables three and four findings show that 61% of mothers had a medical history (hypertension, diabetes, anemia, kidney diseases, liver diseases, asthma, and heart diseases). However, 55% of fathers had the same medical history except for liver diseases. Also, there was 16% of parents had an incompatible blood group. Moreover, 31% of children depended on breastfeeding, and 33% relied on artificial feeding. In addition. 18% had malnutrition, 13% had abnormalities, and 61% suffered from infectious diseases. This result is similar to some researchers' findings; they found that children's mortality rate increases relatively with women's risk of having a chronic disease (Jølving et al., 2016) [17]. Moreover, other studies confirm this result by other studies; they said that chronic diseases might have different risk factors and clinical features, and therefore, the influence on pregnancy outcomes may differ (Ahmad & Samuelsen, 2012) [18].
According to history using medications, 73% of mothers have a history of medication use (NSAIDS, antimicrobial drugs, Vit. A, anti-depressant, hormones, and laxatives). Congenital disabilities significantly contribute to infant mortality (World Health Organization, 2020) [19]. This result is similar to the Stock & Norman study conducted in 2019; they found that using medication's potential impacts include increasing rates of miscarriage, stillbirth, fetal growth perturbations, and preterm birth. Thus, the evaluation of pregnancy treatments needs to be broad, including women whose pregnancies have not continued past the first trimester, and be of sufficient scale to recognize severe but rare events (Stock & Norman, 2019) [20].
CONCLUSIONS
The findings of this study show that
RECOMMENDATIONS
According to this study's findings, a high percentage of respondents had bad obstetric history and a bad prognosis of pregnancies, so this group of women needs to make a particular screening program to survey risks to keep them and their babies safe.
REFERENCES