International Journal of Community Medicine and Public Health

Sharma N et al. Int J Community Med Public Health. 2021 May;8(5):2511-2516

http://www.ijcmph.com

pISSN 2394-6032 | eISSN 2394-6040

A community-based study for assessment of growth and development of low-birth-weight infants, in Sanwer Tehsil of Indore, Madhya Pradesh

Neelima Sharma1, R. R. Wavare1, Pooja Gautam2, Preksha Sharma3, Neha Sharma4*


1Department of Community Medicine, Shri Aurobindo Medical College and Postgraduate Institute, Indore, Madhya Pradesh, India

2Eternal Heart Care Centre, Jawahar Circle, Jaipur, Rajasthan, India

3Department of Anatomy, SMS Medical College and Attached Hospitals, Jaipur, Rajasthan, India

4Department of Pharmacology, SMS Medical College and attached hospitals, Jaipur, Rajasthan, India

Received: 22 March 2021

Accepted: 17 April 2021

*Correspondence:

Dr. Neha Sharma,

E-mail: nsharma226@gmail.com

Copyright: © the author(s), publisher and licensee Medip Academy. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

ABSTRACT

Background: The objective of study was to assess the growth and development of low-birth-weight (LBW) infants.

Methods: The study was conducted in community health center of Sanwer Tehsil (Indore District) in the state of Madhya Pradesh under the department of community medicine of Sri Aurobindo medical college and PG institute, Indore. A total of 150 babies were registered and followed up for study.

Results: Male preponderance was observed in our study with 70 males and 66 females. Out of total 80 LBW neonates (44 males and 36 females), 6 were home deliveries, while similar equal distribution among primipara and bipara (34 and 30 respectively) was noted. It was found that maximum number of LBW infants (11.76%) were found in the mothers age group of 21 and 25.

Conclusions: χ2 value suggested that parity was not significantly correlated to LBW but multiparas with >3 deliveries were more prone to deliver a low-birth-weight baby. National programmes targeting to address low birth weight are the need of the hour.

Keywords: LBW, Child health, Infant mortality, Maternal health

INTRODUCTION

“Children’s health is tomorrow’s wealth” is one of world health organization (WHO)’s slogans of recent years. However, children’s health is to a great extent decided by the factors that function in utero, well before they are born.1,2 Birth weight is considered as a measure of maturity of the child and is a significant causal factor of its mortality and morbidity. This is because of the fact that, low-birth-weight (LBW) has been established to be directly connected to both immediate as well as long-term development and well-being.1

LBW (birth weight less than 2,500 grams) brings up the risk of infant death and untoward health outcomes later in life such as type 2 diabetes, asthma, coronary heart diseases and hypertension.3-7 Long term cognitive abilities such as IQ have also been correlated to the LBW.8,9 Thereby, the single most crucial prognosticator of infant mortality, especially of deaths amongst the first month of life, is LBW.9,10 Lower birth weight is colligated with more medical problems for instance prematurity, apnea and respiratory distress, hypoglycemia, hypothermia, hyperbilirubinemia, subnormal growth, illnesses, and neuro-developmental delay. 10

Thus, LBW is considered as a public health problem in most developing countries, where an estimated at least 15 per cent of births result in LBW babies. That’s why this study was planned in the department of community medicine at Sri Aurobindo medical college and PG institute, Indore and conducted at a community health center, Sanwer to determine the growth pattern in LBW infants during first year of life.

METHODS

The study was conducted in community health center of Sanwer Tehsil, Indore, Madhya Pradesh in the department of community medicine at Sri Aurobindo medical college and PG institute, Indore. The center consists of 6 PHC’s namely-Shipra, Paliya, Mangliya, Dakacha, Kadana and Chandravatiganj with 28 subcenters. This prospective study was conducted with 4 follow-ups of each study subject. Sanwer block was chosen for the study purpose, as it comprises mainly of rural population with poor socioeconomic status.

After taking permission from the institutional ethical committee and informed consent from respondents, all the LBW babies born during January 2013 to March 2013 in the community health center were included in the study. A total of 150 babies were registered for follow up-out of which 9 mothers denied consent, and 5 failed to complete the study, 136 completed the study.

Data on mother (age, husband’s name, address, parity, postnatal prescription) and the born babies’ details (place of delivery, mode of delivery, sex, birth weight, involvement of doctor/ nurse, number of post-natal visits to healthcare, motivators if any) were noted on the first visit.

Subsequent examination of height and weight was carried out at quarterly interval (3, 6, 9 and 12 months) up to 12 months.

Statistical analysis

Statistical evaluation of the data obtained was done on SPSS (Statistical Package for Social Sciences) software, version 16.0 (SPSS Inc., Chicago, IL, USA). Descriptive analysis (mean±SD) of the data was done. Chi-square test was applied and the level of significance was set at p<0.05 (highly significant).

RESULTS

Male preponderance was seen in our study with 66 females and 70 males. Ratio of normal and low birth weight in male or female neonate has been depicted in Figure 1.

Out of total 80 LBW neonates (44 males and 36 females), 6 were home deliveries, while out of the remaining 56 normal neonates (26 males and 30 females), 4 were home deliveries.

Thus, out of 10 home deliveries, 4 were male very LBW and moderately LBW, two each and 6 were female (two MLBW, other four normal). This is statistically insignificant (p<0.05). Distribution of Infants according to place of delivery has been portrayed in Table 1 while ratio of normal and low birth weight in home and institutional deliveries has been depicted in Figure 2.

Figure 1: Ratio of normal and LBW in male or female neonate.
Figure 1: Ratio of normal and LBW in male or female neonate.
Table 1: Distribution of infants according to place of delivery.
Table reproduced from source PDF page 2

P=0.937

Figure 2: Ratio of normal and LBW in home and institutional deliveries.
Figure 2: Ratio of normal and LBW in home and institutional deliveries.

Out of total 56 normal birth weight babies, only 4 were born to multipara mothers-remaining 52 mothers were either primipara or bipara (26 each). Out of 80 LBW babies, nearly similar equal distribution among primipara and bipara (34 and 30 respectively) was seen. Remaining 12 were from tripara and 4 from multipara mothers (Table 2). This distribution is statistically insignificant.

Table 2: Parity wise distribution of normal and LBW.
Table reproduced from source PDF page 3

P=0.024

Table 3 and Figure 3 shows the no. of postnatal visits in normal and low birth weight infants which were followed by mother. It was found that there was maximum 3 visits which were followed by the mother under which NBW was 30 (22.05%) and LBW was 32 (23.52%). Thus, we observed that maximum no. of NBW and LBW was found in 3 postnatal visits.

Table 3: Number of postnatal visits in normal and LBW infants.
Table reproduced from source PDF page 3
Figure 3: Number of postnatal visits in normal and LBW.
Figure 3: Number of postnatal visits in normal and LBW.

Table 4 and Figure 4 portrays distribution of LBW and normal birth weight infants according to age group of mothers. It was found that maximum number of LBW Infants was found in age group of 21 and 25 which is 16 (11.76%) and maximum number of normal birth weight was found in age group of 20 which is 10 (7.35%).

Table 4: Mother’s age-wise distribution of NBW and LBW.
Table reproduced from source PDF page 3
Figure 4: Mother’s age wise (x-axis) distribution of LBW and normal birth-weight.
Figure 4: Mother’s age wise (x-axis) distribution of LBW and normal birth-weight.

Lower abdominal cesarean section was less common in normal (12) as well as low birth weight (14) cases-normal vaginal delivery was seen in 44 normal and 66 low birth weight cases as pictured in Table 5. This ratio is statistically insignificant.

Table 5: Mode of delivery and LBW.
Table reproduced from source PDF page 3

P=0.566

DISCUSSION

In India, the prevalence of LBW infants in ground reality is quoted to be between 25-30%.11 Another study conducted in Latur and Nashik (Maharashtra) found the level of low birth weight at 26.78% which agrees with another report from Karachi.12,13

A report by WHO calculates the rate of LBW at 26% by older estimates of 1993 which becomes 30% if those who weigh exactly 2500 grams are excluded.13 In a Delhi based study, infants exhibited slow growth during hospital stay as indicated by a fall of approximately one Z score in each of 3 parameters from birth to discharge.14

It is not surprising that in spite of cash incentive program, incidence of low birth weight due to iinstitutional deliveries from Uttar Pradesh, is still high.15 Early age of marriage and pregnancy, correlation of which to the LBW cases is well established, is more prevalent in this area.15

A study from north-eastern states revealed that tribal babies were unexpectedly much better and low birth weight reported to be below 18% compared to their non-tribal counterparts, showing incidence of 33.47%.16

Most deliveries were institutional and selection bias may be behind higher incidence of low birth weight in institutional deliveries. As it has already been proven, morbid cases coming more for institutional deliveries and advantage of more preterm survival therein has increased rate of low birth weight in institutional deliveries.14

That’s why, out of total 80 LBW neonates (44 males and 36 females), 6 were home deliveries, while out of remaining 56 normal neonates (26 males and 30 females), 4 were home deliveries. Thus, out of 10 home deliveries, 4 were male (VLBW and MLBW two each) and 6 were female (two MLBW, other four normal).

Out of total 56 normal birth weight babies, only 4 were born to multipara mothers-remaining 52 mothers either primipara or bipara (26 each). Out of 80 LBW babies, nearly similar equal distribution among primipara and bipara (34 and 30 respectively) was seen. But remaining 12 were from tripara and 4 from multiparas’ mothers.

Thus, seeing the χ2 value, parity was not significantly correlated to the parity as such but when the same sample is divided into <3 or >3 deliveries, the correlation becomes significant-thus multiparas with >3 deliveries are more prone to deliver a LBW baby. But many large sampled studies on LBW showed that parity is significantly associated with LBW.16-21

Maximum 3 post-natal visits were followed by 62 mothers (45.58%) and 4 post-natal visits were followed by 22 mothers (16.17%) and it might be indicative of thorough negligence (due to socio-economic reasons or unawareness). Through pregnancy which continuous even after delivery.22

Mothers visited the health care facility but most of them had less than 4 visits a year. Just one visit was uncommon (in 2 normal and 2 low birth weight baby) but most of them either visited twice (14 normal and 22 LBW) or thrice (30 normal and 32 LBW). But surprisingly, 7 visits were taken in 2 normal birth weight cases.)

Mothers under study ranged from the age group of 18 to 31 years. Common age group recorded were 20 to 25 years in which there were 108 (79.41%) mothers. Otherwise, in study involving motherhood at extremes, LBW was significantly less in moderate age group.23

Normal birth weight was more homogenously distributed through different age groups. Lower abdominal cesarean section was less common in normal (12) as well as low birth weight (14) cases-normal vaginal delivery was seen in 44 normal and 66 low birth weight cases.

Overall, as the sample represents normal age motherhood at an average of 22 years, low birth weight could not be correlated well as the early reproductive outcome. Cesarean section was nearly similar in occurrence in normal of LBW cases-thus saving premature babies to increase the count of LBW was not a sufficient reason in this sample. Normal vaginal deliveries were more low birth weight and this has some prenatal implication like socio-economic reason or genetics.24

As extremely low birth weight was not represented in the population, developmental anomalies of height and weight at 3, 6, 9 or 12 months was not clear neither it could be contrasted against a well thriving control, because even normal birth weight babies in the studied population were mostly just above the cut-off.16,24,25

With this study a growth plot for moderately low birth weight babies at the age of 3, 6, 9 and 12 months was also elicited which might be used for comparison with other similar studies (Figure 5).

Figure 5: Human height growth per month.
Figure 5: Human height growth per month.

Increase in human growth in males and females are not much different by first year as seen in this figure given below. And even at birth, the difference is just 1 centimeter, as the title information in the figure shows.26

That’s why is no difference was significantly elicited in height growth of low birth weight or normal birth weight male or female children. But cursorily seeing, there is a trend of lagging height in both male and female low birth weight babies. Sexual difference of height is also as per expectation-i.e., more in males.26

Limitations

The reproductive age being normal and parity rarely reaching to the extremes of our studied sample, other factors of overall low birth weight should be sought. Our study, being postnatal and observational could not cover this issue. But a large sample prenatal study can do it better, being even more confirmatory, if it is interventional. If the factors are other than genetic, and thus modifiable, appropriate measures to be taken.

CONCLUSION

In the sample, there was slight male (51.47%) preponderance but it was statistically insignificant. The sample is not homogenous around the cut off criteria, and mostly represents a LBW population as concluded earlier. As per critical χ2 value, sex wise differentiation of birth weight was not significant. Most deliveries were institutional and selection bias may be behind higher incidence of low birth weight in institutional deliveries. Seeing the χ2 value, parity was not significantly correlated to the parity as such but multiparas with > 3 deliveries are more prone to deliver a LBW baby.

Funding: No funding sources

Conflict of interest: None declared

Ethical approval: The study was approved by the Institutional Ethics Committee

REFERENCES

  1. 1. Oladeinde HB, Oladeinde OB, Omoregie R, Onifade AA. Prevalence and determinants of low birth weight: the situation in a traditional birth home in Benin City, Nigeria. Afr Health Sci. 2015;15(4):1123-9.
  2. 2. UNICEF-WHO Low birthweight estimates: Levels and trends 2000–2015: New global, regional and national estimates of low. Available at: birthweighthttps://www.unicef.org/reports/UNICEF-WHO-low-birthweight-estimates-2019#:~:text=The%20UNICEF%2DWHO%20low%20birthweight,death%2C%20stunting%20and%20developmental%20difficulties. Accessed on Mar 13 2021.
  3. 3. Nguyen HT, Eriksson B, Tran TK, Nguyen CT, Ascher H. Birth weight and delivery practice in a Vietnamese rural district during 12 year of rapid economic development. BMC Pregnancy Childbirth. 2013;13:41.
  4. 4. Abusalah A, Gavana M, Haidich AB, Smyrnakis E, Papadakis N, Papanikolaou A, Benos A. Low birth weight and prenatal exposure to indoor pollution from tobacco smoke and wood fuel smoke: a matched case-control study in Gaza Strip. Matern Child Health J. 2012;16(8):1718-27.
  5. 5. Ben-Shlomo Y, Kuh D. A life course approach to chronic disease epidemiology: conceptual models, empirical challenges and interdisciplinary perspectives. Int J Epidemiol. 2002;31(2):285-93.
  6. 6. Risnes KR, Vatten LJ, Baker JL, Jameson K, Sovio U, Kajantie E et al. Birthweight and mortality in adulthood: a systematic review and meta-analysis. Int J Epidemiol. 2011;40(3):647-61.
  7. 7. Litt JS, Taylor GH, Margevicius S, Schluchter M, Andreias L, Hack M. Academic achievement of adolescents born with extremely low birth weight. Acta Paediatrica. 2012;101:1240-45.
  8. 8. Tong S, Baghurst P, McMichael A. Birthweight and cognitive development during childhood. J Paediatr Child Health. 2006;42(3):98-103.
  9. 9. Hayat H, Khan P, Hayat G, Hayat R. A study of epidemiological factors affecting low birth weight. East J Med. 2013;18(1):13-5.
  10. 10. Stoll BJ, Adams-Chapman I. The high-risk infant. In: Behrman RE, Kliegman RM, Jenson HB, Stanton BF, editors. Nelson textbook of pediatrics. Saunders: Philadelphia. 2007;698-711.
  11. 11. Raman TR, Devgan A, Sood SL, Gupta A, Ravichander B. Low birth weight babies: incidence and risk factors. Med J Armed Forces India. 1998;54(3):191-5.
  12. 12. Mumbare SS, Maindarkar G, Darade R, Yenge S, Tolani MK, Patole K. Maternal risk factors associated with term low birth weight neonates: a matched-pair case control study. Indian Pediatr. 2012;49(1):25-8.
  13. 13. Khan A, Nasrullah FD, Jaleel R. Frequency and risk factors of low birth weight in term pregnancy. Pak J Med Sci. 2016;32(1):138-42.
  14. 14. Saluja S, Modi M, Kaur A, Batra A, Soni A, Garg P et al. Growth of very low birth-weight Indian infants during hospital stay. Indian Pediatr 2010;47:851-6.
  15. 15. Srivastava J, Joseph A. Why Institutional Deliveries are Low in Balrampur District Uttar Pradesh: A Cross-Sectional Quantitative and Qualitative Exploration. J Obstet Gynaecol India. 2019;69(3):225-31.
  16. 16. Sarkar NC, Saikia AC. Birth weight at Changlang, Arunachal Pradesh. Indian J Pediatr. 2000;67:419-21.
  17. 17. Deshmukh JS, Motghare DD, Zodpey SP, Wadhva SK. Low birth weight and associated maternal factors in an urban area. Indian Pediatr. 1998;35:33-6.
  18. 18. Negi KS, Kandapal SD, Kukreti M. Epidemiological factors affecting low birth weight. JK Sci, J Med Educ Res. 2006;8(1):31-4.
  19. 19. Kamaladoss T, Abel R, Sampathkumar V. Epidemiological correlates of low birth weight in rural Tamil Nadu. Ind J Pediatr. 1992;59(3):299-304.
  20. 20. Acharya D, Nagraj K, Nair NS, Bhat HV. Determinants of Intrauterine Growth Retardation: A Case Control Study in Udupi District, Karnataka. Indian J Comm Med. 2004;29(4):181-2.
  21. 21. Nurul A, Abel R, Sampathkumar V. Maternal risk factors associated with low birth weight. Indian J Pediatr. 1993;60:269-74.
  22. 22. Blanc AK, Wardlaw T. Monitoring low birth weight: an evaluation of international estimates and an updated estimation procedure. Bull World Health Organ. 2005;83(3):178-85.
  23. 23. Singh G, Chouhan R, Sidhu K. Maternal Factors for Low-Birth-Weight Babies. Med J Armed Forces India. 2009;65(1):10-12.
  24. 24. Subramanyam MA, Ackerson LK, Subramanian SV. Patterning in Birthweight in India: Analysis of Maternal Recall and Health Card Data. PLoS One. 2010;5(7):e11424.
  25. 25. Whincup PH, Kaye SJ, Owen CG, Huxley R, Cook DG et al. Birth weight and risk of type 2 diabetes: a systematic review. J Am Med Assoc. 2008;300;2886-97.
  26. 26. Ogden CL, Fryar CD, Carroll MD, Flegal KM. Mean body weight, height, and body mass index, United States 1960-2002. Adv Data. 2004;(347):1-17.