| Literature DB >> 32513203 |
Muhammad Asim1,2,3, Zarak Husain Ahmed1, Mark D Hayward4, Elizabeth M Widen5.
Abstract
BACKGROUND: Prelacteal feeding, the feeding a newborn substances or liquids before breastfeeding, is a common cultural practice in Pakistan, but is associated with neonatal morbidity and mortality because it delays early initiation of breastfeeding. In this study, we sought to examine the social and cultural factors associated with prelacteal feeding in Pakistan.Entities:
Keywords: Delayed breastfeeding; Home and hospital deliveries; Insufficient breast milk; Pakistan; Prelacteal
Mesh:
Year: 2020 PMID: 32513203 PMCID: PMC7278149 DOI: 10.1186/s13006-020-00295-8
Source DB: PubMed Journal: Int Breastfeed J ISSN: 1746-4358 Impact factor: 3.461
Background characteristics of the informants (n = 6) and key-informants recruited for qualitative interviews (n = 6)
| Codes | Informants/ | Education/ Type of employment | Age in years | Professional experience | Urbanicity of Position/Locale |
|---|---|---|---|---|---|
| 1 | Informant | 5th grade | 26 | – | Rural, Sahiwal |
| 2 | Informant | Illiterate | 40 | – | Rural, Sahiwal |
| 3 | Informant | 8th grade | 30 | – | Urban, Okara |
| 4 | Informant | 10th grade | 22 | – | Rural, Okara |
| 5 | Informant | 12th grade | 37 | – | Urban, Pakpatan |
| 6 | Informant | Illiterate | 25 | – | Rural, Pakpatan |
| 1 | GP | Private hospital | 33 | 6 years | Urban, Sahiwal |
| 2 | HW | Public sector | 31 | 10 years | Rural, Sahiwal |
| 3 | Nurse | Public sector | 45 | 13 years | Rural, Okara |
| 4 | HW | Public sector | 36 | 12 years | Rural, Okara |
| 5 | Midwife | Private sector | 37 | 6 years | Urban, Pakpatan |
| 6 | GP | Public hospital | 34 | 10 years | Rural, Pakpatan |
GP = General Practitioner; HW = Health Worker
Characteristic of dyads including in analysis of prelacteal feeding in Pakistan, PDHS 2012–13 (n = 1361)
| Variables | All | Prelacteal feeding | ||
|---|---|---|---|---|
| Yes | No | |||
| No education | 52.5 (715) | 63.3 (453) | 36.7 (262) | < 0.001 |
| Primary | 15.4 (210) | 75.1 (158) | 24.9 (52) | |
| Middle | 8.2 (112) | 68.8 (77) | 31.2 (35) | |
| Secondary | 11.4 (155) | 65.8 (102) | 34.2 (53) | |
| Higher | 12.6 (171) | 53.2 (91) | 46.8 (80) | |
| 15–24 | 33.1 (450) | 66.5 (299) | 33.5 (151) | 0.27 |
| 25–34 | 52.8 (719) | 64.9 (467) | 35.1 (252) | |
| 34 and above | 14.1 (192) | 59.9 (115) | 40.1 (77) | |
| Poorest | 20.1 (274) | 56.8 (156) | 43.2 (118) | < 0.001 |
| Poorer | 20.4 (278) | 61.2 (170) | 38.8 (108) | |
| Middle | 19.8 (269) | 69.6 (187) | 30.4 (82) | |
| Rich | 19.6 (267) | 74.5 (199) | 25.5 (68) | |
| Richest | 20.1 (274) | 61.9 (170) | 38.1 (104) | |
| Male | 93.2 (1268) | 64.0 (812) | 36.0 (456) | 0.030 |
| Female | 6.8 (93) | 74.0 (69) | 26.0 (24) | |
| Urban | 43.6 (593) | 62.3 (370) | 37.7 (223) | 0.055 |
| Rural | 56.4 (768) | 66.6 (511) | 33.4 (257) | |
| Punjab | 28.0 (381) | 86.6 (330) | 13.4 (51) | < 0.001 |
| Sindh | 22.1 (301) | 56.5 (170) | 43.5 (131) | |
| Khyber Pakhtunkhwa | 20.2 (275) | 73.1 (201) | 26.9 (74) | |
| Baluchistan | 15.0 (204) | 62.3 (127) | 37.7 (77) | |
| Islamabad | 5.1 (69) | 56.5 (39) | 43.5 (30) | |
| Gilgit-Baltistan | 9.6 (131) | 10.7 (14) | 89.3 (117) | |
| No | 23.0 (313) | 59.7 (187) | 40.3 (126) | 0.04 |
| 1–3 visits | 37.6 (512) | 68.4 (350) | 31.6 (162) | |
| ≥ 4 visits | 39.4 (536) | 64.1 (344) | 35.9 (192) | |
| At home | 45.3 (617) | 67.2 (415) | 32.8 (202) | < 0.001 |
| Public health facility | 19.5 (265) | 51.9 (137) | 48.1 (128) | |
| Private | 35.2 (479) | 68.7 (329) | 31.3 (150) | |
| No | 86.2 (1173) | 63.4 (743) | 36.6 (430) | 0.004 |
| Yes | 13.8 (188) | 73.7 (138) | 26.3 (50) | |
| Within one hour | 23.0 (313) | 38.7 (121) | 61.3 (192) | < 0.001 |
| 2–24 h | 49.4 (672) | 59.2 (398) | 40.8 (274) | |
| After one day | 27.6 (376) | 96.3 (362) | 3.7 (14) | |
| Male | 50.7 (690) | 63.6 (439) | 36.4 (251) | 0.21 |
| Female | 49.3 (671) | 65.9 (442) | 34.1 (229) | |
| First born child | 23.7 (323) | 70.5 (228) | 29.5 (95) | 0.008 |
| Subsequent child | 76.3 (1038) | 62.9 (653) | 37.1 (385) | |
Analysis of preferred prelacteal feeding during the first three days of birth (na = 881; 64.7%)
| Types of prelacteals | Frequency | Percentage |
|---|---|---|
| Milk other than breast milk | 216 | 24.5 |
| Honey/ Sugar water | 192 | 21.8 |
| Infant formula | 119 | 13.5 |
| Marketed Ghutti | 132 | 15.0 |
| Plain water | 48 | 5.4 |
| Fruit juice | 44 | 5.0 |
| Rosewater | 41 | 4.6 |
| Green tea | 41 | 4.6 |
| Ghee/ Butter or tea | 28 | 3.2 |
| Gripe water | 20 | 2.3 |
aOnly 881 dyads are included who gave a prelacteal feed during the first 3 days of birth
Adjusted and unadjusted odd ratios (95% confidence interval [CI]) for factors associated with prelacteal feeding in Pakistan, (PDHS, 2012–2013)
| Likelihood of prelacteal feeding | ||||||
|---|---|---|---|---|---|---|
| Variables | OR | 95% CI | AOR | 95% CI | ||
| No education | 1.53 | 0.013 | 1.09, 2.15 | 1.28 | 0.369 | 0.78, 1.91 |
| Primary | 2.65 | < 0.001 | 1.71, 4.09 | 2.28 | 0.002 | 1.35, 3.85 |
| Middle | 1.93 | 0.010 | 1.93, 1.17 | 1.88 | 0.041 | 1.02, 3.47 |
| Secondary | 1.69 | 0.021 | 1.08, 2.64 | 1.80 | 0.034 | 1.04, 3.09 |
| Higher | 1 | 1 | ||||
| Poorest | 0.80 | 0.223 | 0.57, 1.13 | |||
| Poorer | 0.97 | 0.856 | 0.68, 1.36 | |||
| Middle | 1.41 | 0.058 | 0.98, 2.01 | |||
| Rich | 1.80 | 0.002 | 1.24, 2.60 | |||
| Richest | 1 | |||||
| Male | 0.62 | 0.50 | 0.38, 0.99 | |||
| Female | 1 | |||||
| Punjab | 54.07 | < 0.001 | 28.8, 101.3 | 24.92 | < 0.001 | 12.6, 49.1 |
| Sindh | 10.84 | < 0.001 | 5.95, 19.74 | 7.03 | < 0.001 | 3.65, 13.5 |
| Khyber Pakhtunkhwa | 22.70 | < 0.001 | 12.31, 42.0 | 16.21 | < 0.001 | 8.30, 31.6 |
| Baluchistan | 13.78 | < 0.001 | 7.39, 25.68 | 12.20 | < 0.001 | 6.14, 24.3 |
| Islamabad | 10.86 | < 0.001 | 5.23, 52.55 | 9.60 | < 0.001 | 4.31, 21.4 |
| Gilgit-Baltistan | 1 | 1 | ||||
| None | 0.83 | 0.040 | 0.62, 1.10 | |||
| 1–3 visits | 1.20 | 0.250 | 0.93, 1.56 | |||
| ≥ 4 visits | 1 | |||||
| At home | 0.93 | 0.604 | 0.72, 1.20 | 0.997 | 0.89 | 0.69, 1.37 |
| Public health facility | 0.49 | < 0.001 | 0.36, 0.66 | 0.462 | 0.02 | 0.43, 0.95 |
| Private health facility | 1 | |||||
| No | 0.62 | 0.007 | 0.43, 0.87 | |||
| Yes | 1 | |||||
| Within one hour | 0.02 | < 0.001 | 0.14, 0.44 | 0.03 | < 0.001 | 0.01, 0.61 |
| 2–24 h | 0.05 | < 0.001 | 0.32, 0.98 | 0.07 | < 0.001 | 0.43, 0.95 |
| After one day | 1 | 1 | ||||
| First born child | 1.40 | 0.013 | 1.07, 1.84 | |||
| Subsequent child | 1 | |||||
aBinary logistic regression
Education of mothers, region, place of delivery, and when child put to breast
Fig. 1Triangulation of the findings