| Literature DB >> 25210829 |
Tania Maria Brasil Esteves1, Regina Paiva Daumas1, Maria Inês Couto de Oliveira2, Carlos Augusto de Ferreira de Andrade3, Iuri Costa Leite4.
Abstract
OBJECTIVE: To identify independent risk factors for non-breastfeeding within the first hour of life.Entities:
Mesh:
Year: 2014 PMID: 25210829 PMCID: PMC4181097 DOI: 10.1590/s0034-8910.2014048005278
Source DB: PubMed Journal: Rev Saude Publica ISSN: 0034-8910 Impact factor: 2.106
Figure 1Flow Chart of the Selection Process for the Studies to be Included in the systematic review on the risk factors for non-breastfeeding in the first hour of life.
Characteristics of the studies on risk factors for non-breastfeeding in the first hour of life selected for inclusion in the systematic review.
| Authors/Year of publication | Place/Country | Period of the study | Source of information | Age of the child at interview | Size of sample | Breastfeeding in the first hour | Home birth | Cesarean | Regression analysis model | Quality assessment | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
| |||||||||||||
| % | % | % | S | P | D | A | |||||||
| Boccolini et al1 (2011) | Rio de Janeiro, RJ, Brazil | 1999-2001 | Public and private hospitals with more than 200 births/ano | Up to 2 days | 8,379 | 16.1 | NA | 49.3 | Poisson multi-level | 1 | 1 | 1 | 1 |
| Senarath et al44 (2010) | Sri Lanka | 2000 | Demographic and Health Survey(DHS) | < 1 year | 1,127 | 56.3 | 2.4 | 19.4 | Logistics | 1 | 1 | 1 | 1 |
| Silveira et al47 (2008) | Pelotas, RS, Brazil | 2002-2003 | All of the maternities in the town | Up to 2 days | 2,741 | 35.5 | NA | 38.5 | Logistics hierarchy | 1 | 1 | 1 | 1 |
| Horii et al16 (2011) | Regions of Ethiopia | 2003-2004 | Baseline demographic survey for health projects | < 1 year | 2,072 | 41.6 | 93.8 | SI | Logistics | 1 | 1 | 1 | 1 |
| Mihrshahi et al31 (2010) | Bangladesh | 2004 | Demographic and Health Survey(DHS) | < 1year | 2,482 | 27.5 | 88.1 | 4.9 | Logistics | 1 | 1 | 1 | 1 |
| Vieira et al52 (2010) | Feira de Santana, BA, Brazil | 2004-2005 | All public and private hospitals in the town | Up to 2 days | 1,309 | 47.0 | NA | 34.2 | Logistics | 0 | 0 | 1 | 1 |
| Ogunlesi35 (2010) | Nigeria | 2005 | Children’s ambulatory linked to the BFHI | < 2 years | 262 | 37.4 | 39.7a | SI | Logistics | 1 | 0 | 1 | 1 |
| Patel et al39 (2010) | India | 2005-2006 | National family health survey (NFHS) | < 1 year | 10,317 | 23.5 | 58.9 | 9.4 | Logistics | 1 | 1 | 1 | 1 |
| Oliveira et al36 (2010) | Rio de Janeiro, RJ, Brazil | 2006 | Mothers undergoing Rapid anti-HIV test at BFH | Up to 2 days | 944 | 47.5 | NA | 32.5 | Complete Multilevel | 1 | 1 | 1 | 1 |
| Pandey et al38 (2010) | Nepal | 2006 | Demographic and Health Survey (DHS) | < 1year | 968 | 35.4 | 80.3 | 3.3 | Logistics | 1 | 1 | 1 | 1 |
| Senarath et al45 (2012) | Sri Lanka | 2006-2007 | Demographic and Health Survey (DHS) | < 2 years | 2,735 | 83.3 | 0.5 | 24.4 | Logistics | 1 | 1 | 1 | 1 |
| Hazir et al14 (2013) | Pakistan | 2006-2007 | Demographic and Health Survey (DHS) | < 2 years | 3,013 | 27.3 | 61.3 | 9.0 | Logistics | 1 | 1 | 1 | 1 |
| Patel et al40 (2013) | India | 2008 | Tertiary BFH | Up to 2 days | 500 | 36.4 | NA | 34.0 | Logistics | 1 | 1 | 1 | 1 |
| El-Gilany et al10 (2012) | Al-Hassa, Saudi Arabia | 2009 | Primary care centers (at the newborn’s registration) | < 15 days | 906 | 11.4 | 0.0 | 17.8 | Logistics | 1 | 0 | 1 | 1 |
| Tamiru et al48 (2012) | J. Arjo Woreda, Ethiopia | 2009 | Family health survey for rural communities | < 6 months | 384 | 62.6 | SI | 2.1 | Logistics | 1 | 1 | 0 | 0 |
| Victor et al50 (2013) | Tanzania | 2009-2010 | Demographic and Health Survey (DHS) | < 1year | 3,112 | 46.1 | 49.1 | 5.1 | Logistics | 1 | 1 | 1 | 1 |
| Setegn et al46 (2011) | District of Goba, Ethiopia | 2010 | Family health survey for urban and rural areas in the District | < 1 year | 668 | 52.4 | 71.7 | 3.1 | Logistics | 1 | 1 | 1 | 1 |
| Meshram et al30 (2012) | Andhra Pradesh, India | No information | Family health survey for rural areas in the District | < 1 year | 805 | 22.0 | 29.3 | SI | Logistics | 1 | 0 | 1 | 0 |
S: participant selection; P: loss; D: outcome (gauging); A: statistical analysis DHS: Demographic and Health Survey; BFHI: Baby-Friendly Hospital Initiative; BFH: Baby-Friendly Hospital; NFHS: National Family Health Survey; NA: does not apply; SI: No information
aAnother in addition to the health unit.
Risk and protection factors and those not associated to non-breastfeeding in the first hour of life in the selected articles.
| Variable | Risk | Protection | Not associated | Number of studies |
|---|---|---|---|---|
| Contextual level | ||||
| Rural residential area | 46,50 | 0,31 | 14,35,38,39,44 | 9 |
| Residential geographic area | 14,39,50 | 31,38,39,45 | 44 | 8 |
| Child’s highest age on the date of the interview | 45 | 39 | 14,30,31,44 | 6 |
| Distal level | ||||
| Low family income | 30,31,45 | 10,14,36,38,39,40,44,47,50,52 | 13 | |
| Nuclear family | 30 | 1 | ||
| Father’s schooling level | 14,31,38,39,47 | 5 | ||
| Mother’s age ( in years) | 14 | |||
| < 20 or < 25 | 39,50 | 1,52 | ||
| ≥ 35 ( | 47 | 10,14,31,35,36,38,44-46 | ||
| Mother’s highest schooling level | 47 | 39,40,48,50 | 1,10,14,30,31,35,36,38,39,44-46,52 | 17 |
| Low maternal income | 36 | 1 | ||
| Non-white ethnicity | 36 | 47 | 1 | 3 |
| Caste (scheduleda) | 30 | 1 | ||
| Mother’s profession | 14,50 | 39 | 10,31,36,38,44,45 | 9 |
| Mother’s occupation | 35,38,46 | 3 | ||
| Body mass index | 31,38,39,45,50 | 5 | ||
| Mother’s decision-making power | 38 | 31,39,44,45,50 | 6 | |
| Listens to the radio | 39 | 31,48,50 | 4 | |
| Watches television | 31,39,50 | 3 | ||
| Reads the newspaper | 31,39,50 | 3 | ||
| Marital status | 1,14,31,36,38,39,44,48,50 | 12 | ||
| Multiparous | 10 | 1,14,16,31,35,36,38,39,44-47,50,52 | 15 | |
| Interval between births | 14,31,38,39,45,46 | 6 | ||
| Intermediate level | ||||
| Obstetric problem (toxemia or hemorrhaging) | 40 | 1 | ||
| Smoking while pregnant | 1,47 | 2 | ||
| Access to prenatal health care | 31,35,39 | 14,16,36,38,40,44,45,47,48,50 | 13 | |
| Iron prescribed at dr. visit | 16 | 1 | ||
| Orientations regarding breastfeeding | 40,52 | 1,16,46 | 5 | |
| Home visit | 44 | 45,46 | 3 | |
| Proximal level | ||||
| Home birth | 35,39,45,50 | 14,16,30,31,38,44,46 | 11 | |
| Birth assisted by family memberb | 50 | 16 | 31,38,39,44,48 | 7 |
| Birth assisted by trained midwife | 16 | 50 | 2 | |
| Cesarean | 1,14,36,38-40,44,45,47,50,52 | 10,31,46 | 14 | |
| Private hospital birth | 1 | 10 | 2 | |
| BFH birth | 47 | 1 | ||
| Postdelivery breastfeeding counseling | 46 | 1 | ||
| Unaware of undergoing rapid anti-HIV test | 36 | 1 | ||
| Unaware of the anti-HIV test results | 36 | 1 | ||
| Receiving anti-HIV test result post birth | 36 | 1 | ||
| State that health care professionals do not listen to her | 36 | 1 | ||
| I don’t want to breastfeed in the labor | 36 | 1 | ||
| Newborn received prelacteal foods | 10 | 1 | ||
| Newborn was not presented to the mother once born | 1 | 1 | ||
| Time until postnatal check-up | 31,38,39 | 3 | ||
| Breast problems (pain/fissures) | 10,48 | 2 | ||
| Female sex | 45 | 1,10,14,16,30,31,38,39,44,46,50 | 12 | |
| Size of newborn (mother’s perception) | 14,39,40 | 3 | ||
| Prematurity | 40,52 | 10 | 3 | |
| Low birth weight | 45 | 10,40,44,52 | 5 | |
| Apgar 0 to 7 in the 5th minute | 48 | 1 | ||
| Inter-occurrance immediately postpartum | 1 | 1 |
BFH: Baby-Friendly Hospital
a Scheduled castes: set of disfavored and catalogued castes as determined in the Constitution of India as potential beneficiaries of affirmative actions.
b Births not assisted by health professionals.
Variables evaluated in only one study, with no significant association included: basic sanitation, relationships between people and items, desire to become pregnant, abortion attempt, father’s support during pregnancy, physical abuse during pregnancy, prenatal adaptation (opportune start and number of visits), company in the delivery room, use of oxytocin during the during labor, assessment of care at delivery, multiple births, congenital anomaly;1 mother brought a bottle to the hospital and intends on using it;47 socioeconomic level (chronic malnutrition);16 father’s occupation;50 information about breastfeeding in the media, newborn cried immediately at birth;40 prior breastfeeding experience, educational sessions;52 trimester of pregnancy in which anti-HIV test was performed, receiving result of pre-natal anti-HIV test before birth;36 family planning and health education;48 admission to neonatal ICU.10
Figure 2Representation by hierarchical level of the risk factors for breastfeeding in the first hour of life.a