Jitendra Kumar Premi
Associate Professor, School of Studies in Anthropology, Pt. Ravishankar Shukla University, Raipur, Chhattisgarh 492010, India.
*Corresponding Author E-mail: jitendra_rsu@yahoo.co.in
ABSTRACT:
All children have the right to survive and thrive. Yet, children and adolescents still face significant challenges surviving past infancy and developing to their full potential. In 2019, 6.1 million children and young adolescents died, mostly from preventable causes. Objectives of the present study are to explore the incidences and determinants of infant death among the Baiga tribe of Chhattisgarh. This study is a retrospective, quantitative and exploratory and quasi qualitative research. Regarding the present study it has chosen the Baiga tribe. Structured interview schedule and non-participant observation were used for collection and cross validation of data. The results were analyzed using the 16.0 SPSS package. Pearson’s chi-square test and multinomial logistic regression analysis were used. More than half (51.2%) of the respondents had lost one or more than one infant already, out of this percentage, 46.3% respondents had lost one infant, which was 23.8%, of the total respondents. Just more than one third (35.2%) respondents witnessed the death of male infant, whereas 33% respondents were the helpless witness of the death of female ones. It can be presumed that delivery of the Baiga newborn by either untrained or trained “Dai” were one of the causal factors for death of male infant of the respondents. Most of the respondents have believed that the illness of their infant is the major cause for the death. The unpleasant fact is not only the cause of general tragedy in the Baiga household; it is also a pointer to utter failure in government health services in the backward sector. The non-participant observation finished by the researcher throughout the fieldwork is authenticated that the foremost cause for incidences of large-scale infant deaths in the Baiga tribe is the tremendous poverty widespread in them and the maternal malnutrition during pre and post partum period and failure of reproductive and child health programme in the Baiga community.
KEYWORDS: Incidence, Infant death, Determinant, The Baiga. Tribe.
Poverty, poor nutrition and insufficient access to clean water and sanitation are all harmful factors, as is insufficient access to quality health services such as essential care for newborns. 2.5 million Children died in the first month of life in 20181. All children have the right to survive and thrive. Yet, children and adolescents still face significant challenges surviving past infancy and developing to their full potential. In 2019, 6.1 million children and young adolescents died, mostly
from preventable causes2. The present level of IMR (32 infant deaths per thousand live births, for the year 2018) is about one-fourth as compared to 1971 (129 infant deaths per thousand live births). In the last ten years, IMR has witnessed a decline of about 35% in rural areas and about 32% in urban areas IMR at all India level has declined from 50 to 32 in the last decade. The corresponding decline in rural areas is 55 to 36, and for urban areas it is from 34 to 233.
Infant mortality and child mortality is very common in rural and tribal communities. Perhaps it is one of the main reasons that the factor of the survival or not survival of children creates such an apprehension that children are produced indiscriminately. Deaths of infant and children constitute a major tragedy in the tribal community. Lack of health facilities, lack of scientific and medical knowledge about infant rearing, old customs and traditional dogmatic practices in religion, superstitious beliefs in witchcraft and sorcery are some of the causes for infant and child death in such communities. Some of the research works have been express an insight regarding methodological point of view for the present paper4, 5, 6, 7, 8, 9, these works are very helpful for conducting such kind of research. In India, thestatus-quo in the population of the tribal people on the decline in it is caused by the high prevalence of infant and child death. In this section of the present study, some such aspects of the Baiga society are taken up for investigation.
OBJECTIVES:
Objectives of the present study are as follows:
1. To explore the incidences of infant death among the Baiga tribe of Chhattisgarh.
2. To find out the determinants of infant death among the Baiga tribe of Chhattisgarh.
MATERIAL AND METHODS:
This study is a retrospective, quantitative and exploratory and quasi qualitative research. Regarding the present study it has chosen the Baiga tribe. The Baiga is a tribe found in Madhya Pradesh and Chhattisgarh states of India. In Chhattisgarh state the largest number of Baigas is found in Kawardha (Kabirdham) district. According to Census of India (2011) their total population is 89,744 having 44,847 males and 44,897 females. Only 32.17% Baiga population are literate and 75.66% Baiga women are illiterate. Baiga tribe is considered one of the oldest tribes of India10. The universe of our sample is 400 married Baiga males belonging to age 18-49 years were selected through multistage random sampling. The widower, divorced and separated Baiga males were excluded from the present study because they lived without their spouses therefore, we were unable to assess their sexual health experiences. Decidedly concentrations of the Baiga tribe population are habituated at Bodla and Pandariya tehsils/development blocks of Kabirdham (Kawardha) district of Chhattisgarh. That is why, firstly selected Kabirdham (Kawardha) district of Chhattisgarh as a primary stage unit, then Bodla and Pandariya tehsils/development blocks selected as a secondary stage unit, after that 28 villages (19 villages from Bodla tehsil/development block and 9 villages from Pandariya tehsil/development block) selected as a tertiary stage unit. Finally, 400 married appropriate Baiga males i.e. 235 males from Bodla and 165 males from Pandariya tehsils/development blocks were randomly selected as the respondents in the manner of stratification by age, education, occupation etc.
Structured interview schedule and non-participant observation were used for collection and cross validation of data. The results were analyzed using the 16.0 SPSS package. Pearson’s chi-square test and multinomial logistic regression analysis were used to understand linkages between variables and to predict the responses of the incidences of fetal death and abortion among the Baiga tribe of Chhattisgarh.
RESULTS AND DISCUSSIONS:
Incidence of infant death:
Table no. 01 shows, more than half (51.2%) of the respondents had lost one or more than one infant already, out of this percentage, 46.3% respondents had lost one infant, which was 23.8%, of the total respondents. Then followed those – 14.8% who saw the death of 2 infant, 7.8% respondents suffered the death of 3 infant, similarly 2.8%, 1.8%, and 10.2% respondents lost 4, 5, 6 to 7 infant, respectively. Thus in the Baiga community the number of death of infant ranged from minimum 1 to maximum 7. The mean number of dead infant works out to 1.94 ± 1.15 per couple. The conclusion is, each Baiga couple saw the death of minimum 1 infant on more than this (2) infant. The unpleasant fact is not only the cause of general tragedy in the Baiga household; it is also a pointer to utter failure in government health services in the backward sector.
Table No. 01: Incidences of infant death r among the Baiga
|
Number of died infant |
No. of respondents |
Percent n=205 |
Percent n=400 |
|
1 |
95 |
46.3 |
23.8 |
|
2 |
59 |
28.8 |
14.8 |
|
3 |
31 |
15.1 |
7.8 |
|
4 |
11 |
5.4 |
2.8 |
|
5 |
7 |
3.4 |
1.8 |
|
6 |
1 |
0.5 |
0.2 |
|
7 |
1 |
0.5 |
0.2 |
|
Total |
205 |
100.0 |
51.2 |
|
Mean and SD |
1.94 ±1.15 infants |
||
Table No. 02: The impact of various bio-cultural factors on status of dead infant of the respondents from chi-square test
|
Independent variables |
Pearson’s Chi-square |
|
|
χ2 |
ρ |
|
|
Status of ANC |
9.946 |
.621 |
|
Status of PNC |
5.350 |
.550 |
|
Total annual income |
9.945 |
.911 |
|
Age at marriage of the respondents |
80.029 |
.602 |
|
Age at marriage of the respondent’ wives |
53.483 |
.950 |
|
Status of consumption of 100 IFAT |
16.780 |
.158 |
|
Place of Delivery |
10.462 |
.916 |
|
Initiation of Breast Feeding |
34.898 |
.921 |
|
Interval of breast feeding |
21.715 |
.971 |
|
Weaning practices |
46.329 |
.116 |
|
Involvement of Baiga Men in ANC |
5.723 |
.455 |
|
Status of given supplementary food to the pregnant wives |
3.236 |
.779 |
|
Frequency of supplementary food to the pregnant wives |
12.069 |
.440 |
|
Frequency of meal taken by the respondents’ wives |
5.526 |
.478 |
|
Age at paternity |
1.017 |
.788 |
|
Age at maternity |
71.724 |
.970 |
|
Frequency of supplementary food for the infant |
11.999 |
.980 |
|
Supplementary food materials for infant |
63.563 |
.562 |
** Correlation and Chi-square test is significant at the < 0.01 level (2-tailed).
*Correlation and Chi-square test is significant at the < 0.05 level (2-tailed).
The impact of various bio-cultural factors on status of dead infant of the respondents from chi-square test: From this test haven’t found any significant result with bio-cultural variables which are shown in the table no. 02.
Table No.03: The effect of various bio-cultural factors and their variables on death of infant of the Baiga from MLR test
|
Independent variables |
Status of Died infant : Yes |
||
|
β |
df |
p |
|
|
Status of ANC Yes |
0b |
0 |
. |
|
Status of PNC Yes |
0b |
0 |
. |
|
Economic status <20,000.00 rupees |
38.406 |
1 |
.999 |
|
≥20,000.00 rupees |
0b |
0 |
. |
|
Age at marriage of the respondents <18 year |
-38.406 |
1 |
.998 |
|
≥18 years |
0b |
0 |
. |
|
Age at marriage of the respondents’ wives < 18 year |
.000 |
1 |
1.000 |
|
≥18 years |
0b |
0 |
. |
|
Duration of PNC 0 to 7 days |
-38.406 |
1 |
.998 |
|
>7 days |
0b |
0 |
. |
|
Frequency of ANC ≤ 3 times |
38.406 |
1 |
.997 |
|
>3 times |
0b |
0 |
. |
|
Avoidance of coitus during pregnancy Till 8th month |
-76.812 |
1 |
.998 |
|
Till six months |
-38.406 |
1 |
.998 |
|
< Six months |
-38.406 |
1 |
.999 |
|
Till three months |
0b |
0 |
. |
|
Initiation of breast feeding More than one hour to one week |
.000 |
1 |
1.000 |
|
Within an hour |
0b |
0 |
. |
|
Place of delivery Non recognized |
0b |
0 |
. |
|
Weaning Practices Don’t know |
-38.406 |
1 |
. |
|
Not certain |
76.812 |
1 |
. |
|
Till one year |
38.406 |
1 |
.998 |
|
As long as their wives desired |
.000 |
1 |
1.000 |
|
Until and unless the next baby is born |
0b |
0 |
. |
|
Status of supplementary food for pregnant women No |
.000 |
1 |
1.000 |
|
Yes |
0b |
0 |
. |
|
Frequency of meal taken by the respondent wives Two times in a day |
-38.406 |
1 |
.998 |
|
Three times in a day |
0b |
0 |
. |
|
Maternity age ≤ 18 year |
0b |
0 |
. |
|
≥ 18 year |
0b |
0 |
. |
|
Paternity age ≤ 18 year |
0b |
0 |
. |
|
≥18 years |
0b |
0 |
. |
|
|
|
|
|
|
|
|
|
|
The reference category is: No. b. This parameter is set to zero because it is redundant.
Table No. 04 Status of male death of the Baiga infant
|
Frequency of died infants |
No. of died male infants |
Percent n=141 |
Percent n=400 |
No. of died female infants |
Percent n=132 |
Percent n=400 |
|
1 |
89 |
63.1 |
22.2 |
89 |
67.4 |
22.2 |
|
2 |
41 |
29.1 |
10.2 |
30 |
22.7 |
7.5 |
|
3 |
8 |
5.7 |
2.0 |
10 |
7.6 |
2.5 |
|
4 |
3 |
2.1 |
0.8 |
3 |
2.3 |
0.8 |
|
Total |
141 |
100.0 |
35.2 |
132 |
100.0 |
33.0 |
|
Mean and SD |
1.46±0.70 male infants |
1.44±0.73 female infants |
||||
Table No. 05: The impact of various bio-cultural factors on status of dead male infant of the respondents from chi-square test
|
Independent variables |
Pearson’s Chi-square |
|
|
χ2 |
ρ |
|
|
Desired gender of first-born |
8.012 |
.237 |
|
Status of ANC |
3.821 |
.701 |
|
Training status of ''Dai'' |
-1.000** |
.000 |
|
Total annual income |
3.403 |
.947 |
|
Age at marriage of the respondents |
38.340 |
.364 |
|
Age at marriage of the respondents’ wives |
35.359 |
.499 |
|
Place of Delivery |
2.012 |
.991 |
|
Initiation of Breast Feeding |
16.171 |
.882 |
|
Interval of breast feeding |
5.996 |
.996 |
|
Weaning practices |
20.666 |
.297 |
|
Involvement of the Baiga Men in ANC |
2.338 |
.505 |
|
Status of given supplementary food to the pregnant wives |
1.036 |
.792 |
|
Frequency of supplementary food to the pregnant wives |
3.714 |
.715 |
|
Frequency of meal taken by the respondents’ wives |
1.416 |
.702 |
|
Age at paternity |
42.769 |
.787 |
|
Age at maternity |
32.075 |
.926 |
|
Frequency of supplementary food for the infant |
10.052 |
.611 |
|
Supplementary food materials for infant |
30.377 |
.598 |
** Correlation and Chi-square test is significant at the < 0.01 level (2-tailed).
*Correlation and Chi-square test is significant at the < 0.05 level (2-tailed).
Table No. 06: Causes of death of first infant according to Baiga men
|
Causes of death |
No. of respondents |
Percent n=205 |
Percent n=400 |
|
Don't know |
6 |
2.9 |
1.5 |
|
Accidental |
6 |
2.9 |
1.5 |
|
Lack of milk |
4 |
2.0 |
1.0 |
|
Born immature infant |
28 |
13.7 |
7.0 |
|
Illness |
151 |
73.7 |
37.8 |
|
witchcraft |
10 |
4.9 |
2.5 |
|
Total |
205 |
100.0 |
51.2 |
Table No.07: (A) The effect of various bio -cultural factors on Causes of death of infant according to the respondents from multinomial logistic regression analysis
|
Independent variables |
Accidental |
Lack of milk |
Born immature infant |
Illness |
witchcraft |
||||||
|
β |
p |
β |
p |
β |
p |
β |
p |
β |
p |
||
|
|
Type of family Extended family |
.431 |
.999 |
-.910 |
.999 |
.353 |
.999 |
8.771 |
.984 |
-.561 |
.999 |
|
Joint family |
6.648 |
.965 |
6.045 |
.970 |
15.556 |
.885 |
14.865 |
.890 |
3.379 |
.981 |
|
|
Nuclear family |
0c |
. |
0c |
. |
0c |
. |
0c |
. |
0c |
. |
|
|
Respondents’ education status Illiterate |
-17.510 |
.997 |
-.138 |
1.000 |
-.382 |
1.000 |
-14.787 |
.997 |
-1.732 |
.287 |
|
|
Literate |
-17.877 |
.997 |
-.581 |
1.000 |
-2.382 |
1.000 |
-16.499 |
.997 |
-3.309 |
.081 |
|
|
Primary |
-17.578 |
.997 |
-.191 |
1.000 |
7.444 |
.999 |
-6.892 |
.999 |
-2.066 |
.987 |
|
|
Middle |
-18.857 |
.996 |
-9.717 |
.999 |
-11.130 |
.999 |
-16.745 |
.997 |
-2.470 |
. |
|
|
High school |
0c |
. |
0c |
. |
0c |
. |
0c |
. |
0c |
. |
|
|
Occupation of the respondents Laborer |
-11.981 |
.972 |
-2.974 |
.988 |
-3.143 |
.974 |
-3.910 |
.968 |
-10.260 |
.932 |
|
|
Agriculture |
-8.900 |
.884 |
-.569 |
.995 |
-9.258 |
.880 |
-8.909 |
.884 |
-9.353 |
.878 |
|
|
Govt. services |
-23.370 |
.971 |
2.103 |
.998 |
-23.909 |
.962 |
-22.408 |
.960 |
-19.910 |
.972 |
|
|
Agriculture laborer |
0c |
. |
0c |
. |
0c |
. |
0c |
. |
0c |
. |
|
a.The reference category is: Don’t know. B.This parameter is set to zero because it is redundant.
Table No. 07: (B) The effect of various bio -cultural factors on Causes of death of infant according to the respondents from multinomial logistic regression analysis
|
Independent variables |
Accidental |
Lack of milk |
Born immature infant |
Illness |
witchcraft |
|||||
|
β |
p |
β |
p |
β |
p |
β |
p |
β |
p |
|
|
Occupation of the respondents’ wives Laborer |
-8.858 |
.979 |
-6.817 |
.969 |
-8.671 |
.909 |
-8.979 |
. 906 |
-1.746 |
. 986 |
|
Agriculture |
0c |
. |
0c |
. |
0c |
. |
0c |
. |
0c |
. |
|
Agriculture laborer |
0c |
. |
0c |
. |
0c |
. |
0c |
. |
0c |
. |
|
Type of residence Avanculocal |
-10.041 |
.983 |
-2.494 |
.996 |
-.587 |
.999 |
-2.049 |
.995 |
-10.455 |
. 980 |
|
Patrilocal |
-.872 |
.541 |
-1.632 |
.312 |
-.770 |
.478 |
-.887 |
.375 |
-2.540 |
.081 |
|
Gharjamai |
17.985 |
.997 |
8.084 |
. |
10.360 |
.999 |
15.857 |
.998 |
-.070 |
1.000 |
|
Neolocal |
0c |
. |
0c |
. |
0c |
. |
0c |
. |
0c |
. |
|
Tahseel Name Bodala |
-10.472 |
.778 |
-1.585 |
.980 |
-10.964 |
.768 |
-10.250 |
.783 |
-9.895 |
.790 |
|
Pandariya |
0c |
. |
0c |
. |
0c |
. |
0c |
. |
0c |
. |
The reference category is: Don’t know. B.This parameter is set to zero because it is redundant.
Table No. 08: Causes of death of second infant according to the Baiga men
|
Causes of death |
No. of respondents |
Percent n=109 |
Percent n=400 |
|
Don't know |
6 |
5.5 |
1.5 |
|
Lack of milk |
3 |
2.8 |
0.8 |
|
Born immature infant |
24 |
22.0 |
6.0 |
|
Illness |
66 |
60.6 |
16.5 |
|
witchcraft |
10 |
9.2 |
2.5 |
|
Total |
109 |
100. |
27.2 |
Table No.09: Causes of death of third infant according to the Baiga men
|
Causes of death |
No. of respondents |
Percent n=49 |
Percent n=400 |
|
Accidental |
7 |
14.3 |
1.8 |
|
Lack of milk |
3 |
6.1 |
0.8 |
|
Born immature infant |
10 |
20.4 |
2.5 |
|
Illness |
24 |
49.0 |
6.0 |
|
witchcraft |
5 |
10.2 |
1.2 |
|
Total |
49 |
100.0 |
12.2 |
CONCLUSION:
The findings of the present study cleared that most of the Baiga couple have lost their infant in which some of the couples have faced the tragedies of death of their 4 to 7 infants; it is really a horrible situation for not only the Baiga couples but very pathetic situation for each of us the common Indian. It should be minimized, it should be eradicated. It is our paramount responsibility to diminish such type of crisis among this vulnerable human group. Even though the results of this study do not visibly divulge what are the most important determinants of these incidents of infant death in the Baiga tribe, but most of the Baiga respondents believe that the illness of their infants is the main cause for the death of their infants. The non-participant observation made by the researcher throughout the fieldwork is authenticated that the foremost cause for incidences of large-scale infant deaths in the Baiga tribe is the tremendous poverty widespread among them. The maternal malnutrition during pre and post partum period and failure of reproductive and child health programme in the Baiga community are another paramount cause for huge number of incidences of infant deaths. The study conducted by Rosy, Ramaiah. Bhargava et al., Shidiki et al. and Rani et al. have been showing the conformity with the result of the present study11, 12, 13, 14, 15. The suggestion given by the Premi and Mitra16 should be applied for reducing and eradicating the incidences of infant death among the Baiga tribe of Chhattisgarh.
ACKNOWLEDGMENTS:
The author is expressed their deep gratitude to Prof. Mitashree Mitra for her kind guidance in this work. This study was financially supported by University Grants Commission, New Delhi, India, under ministry of human resource development, government of India by sanction letter F. No. 36-366/2008 (SR). The authors would like to convey their gratitude to the University Grant Commission, New Delhi, India for their financial assistance.
CONFLICT OF INTEREST:
None.
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Received on 05.03.2021 Modified on 13.04.2021
Accepted on 08.05.2021 © RJPT All right reserved
Research J. Pharm. and Tech. 2021; 14(6):3133-3138.
DOI: 10.52711/0974-360X.2021.00546