# Association of Breastfeeding and the Federal Poverty Level: National Survey of Family Growth, 2011–2013

Authors: R. Constance Wiener; Usha Sambamoorthi; Sarah E. Hayes; Ilana R. Azulay Chertok
Journal: Epidemiology Research International
 (2016)

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## Abstract

Breastfeeding is strongly endorsed in the Healthy People 2020 goals; however, there remain many disparities in breastfeeding prevalence. The purpose of this study was to examine the association between breastfeeding and the Federal Poverty Level in the United States. Data from 5,397 women in the National Survey of Family Growth 2011–2013 survey were included in this study. The data were analyzed for descriptive features and logistic regressions of the Federal Poverty Level on breastfeeding. There were 64.1% of women who reported breastfeeding. Over one-third (35.2%) of women reported having a household income of 0–99% of the Federal Poverty Level. There were 15.2% of women who reported an income of 400% and above the Federal Poverty Level. With statistical adjustment for maternal age, race/ethnicity, education, marital status, parity, preterm birth, birth weight, insurance, and dwelling, the Federal Poverty Level was not significantly associated with breastfeeding. In this recent survey of mothers, Federal Poverty Level was not shown to be a significant factor in breastfeeding.


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## Body

## 1. Introduction

The American Academy of Pediatrics recommends the exclusive breastfeeding of infants to age six months, with continued breastfeeding (complemented by solid foods) for one year or longer [1]. The United States (US) Department of Health and Human Services recognizes the public health benefits of breastfeeding and has nine breastfeeding-related objectives for Healthy People 2020 goals [2]. These objectives include increasing the number of infants having ever been breastfed from the baseline of 74.0% to 81.9%; increasing the number of infants who are breastfed to age 6 months from the baseline of 43.5% to 60.6%; and increasing the number of facilities that provide recommended care for lactating mothers and newborns from a baseline of 2.9% to 8.1% [2].There are many barriers to breastfeeding that have been reported in earlier studies including lack of support [3, 4], public beliefs [3], difficulty with the breast pump [5], young age of mother, less education, unmarried status, fear of embarrassment, fear of being fired, privacy, sexualization of the breast, change in appearance of the breast, pain, bleeding, difficulty latching-on, insufficient milk, race/ethnicity, and low income [6]. In a population-based study examining the influence of poverty and participation in the federal Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) in South Carolina, researchers found that WIC participation was the strongest predictor of lack of breastfeeding initiation in that state [7].Women who participated in WIC programs faced additional barriers to breastfeeding [8]. One of the themes that emerged in a qualitative study of WIC counselors serving primarily African American families was that formula use was seen as a sign of wealth [9]. Prior to the recently revised WIC breastfeeding incentive program of augmented food packages for breastfeeding women, WIC participation had been associated with lower breastfeeding initiation and duration rates [10]. WIC credits can be used for supplemental formula, and many clients viewed the supplemental formula as more valuable than the offset of expanded food packages [8].With goals in place and concerted efforts to increase breastfeeding rates, research results have been inconsistent regarding the association between family income and breastfeeding; some researchers indicate no association [11, 12], others support an association [13, 14], and others report equivocal results [15]. The aim of this study was to determine if there was an association between breastfeeding and the Federal Poverty Level (FPL) using data from the National Survey of Family Growth 2011–2013.


## 2. Methods and Materials

Data from the National Survey of Family Growth (NSFG) 2011–2013 data were used to conduct a cross-sectional secondary data analysis of the association of FPL and breastfeeding. The 2011–2013 survey is the NSFG’s 8th data file release since 1973 (National Survey of Family Growth 2015) [16]. The NSFG survey was specifically designed to determine family trends as well as differences among groups in family sizes, family structure, use of contraception, sexual activity, and infertility for use in designing health services and educational programs [16]. The sampling was a multistage probability-based national representative of US households [16]. Details of the survey are provided at the NSFG website, http://www.cdc.gov/nchs/nsfg/nsfg_2011_2013_puf.htm.This study received the West Virginia University Institutional Review Board study acknowledgement (protocol number 1502572781). The research was conducted in accordance with prevailing ethical principles.


### 2.1. Study Population

Participants in the current study of the association between breastfeeding and FPL were women of childbearing age (14 to 44 years) who had completed NSFG 2011–2013 data for the following variables: breastfeeding; FPL status; and race/ethnicity. The sample size was 5,397 women.


### 2.2. Variable Definitions

The dependent variable was breastfeeding, defined as breastfeeding one week or more. (The definition did not includeintent to breastfeed.) The variable was a dichotomized “yes” or “no” variable.The independent variable was the FPL of the mother. FPL was provided by the NSFG as a recoded variable with five levels: 0–99% FPL, 100–199% FPL, 200–299% FPL, 300–399% FPL, and 400% and above FPL. Other sociodemographic and health variables included in the analyses were maternal age (14 to less than 20 years; 20 to less than 25 years; 25 to less than 30 years; or 30 to 44 years); maternal race/ethnicity (non-Hispanic white; non-Hispanic black; or Hispanic); maternal education (less than high school; high school graduate; some higher education; or Associate degree and above); marital status (married or single/divorced/separated/widowed); parity (first infant or 2 or more); preterm birth (yes, less than 37 weeks, or no, 37 weeks and above); low birth weight (yes, less than 2,500 grams; no, 2,500 grams and above); insurance (private or MediGap; Medicaid, CHIP, or a state-sponsored plan; Medicare, military, or other government plan; or single service, Indian Health Service, or not covered); and dwelling (urban, principal city; urban, other than principal city; or rural).


### 2.3. Analyses

Due to the complex sampling design of the NSFG 2011–2013, analyses were conducted to account for the computational units, strata, and final weights. SAS version 9.3® (Cary, NC) software was used to determine the descriptive characteristics of the sample, and the relationship between breastfeeding and FPL in logistic regression. The model-based imputations in the NSFG 2011–2013 data for the variables chosen had a maximum imputation occurring with FPL (5.94%). An adjusted regression model was built which included maternal age, maternal race/ethnicity; maternal education; marital status; parity; preterm birth, birth weight; insurance; and dwelling.


## 2.1. Study Population

Participants in the current study of the association between breastfeeding and FPL were women of childbearing age (14 to 44 years) who had completed NSFG 2011–2013 data for the following variables: breastfeeding; FPL status; and race/ethnicity. The sample size was 5,397 women.


## 2.2. Variable Definitions

The dependent variable was breastfeeding, defined as breastfeeding one week or more. (The definition did not includeintent to breastfeed.) The variable was a dichotomized “yes” or “no” variable.The independent variable was the FPL of the mother. FPL was provided by the NSFG as a recoded variable with five levels: 0–99% FPL, 100–199% FPL, 200–299% FPL, 300–399% FPL, and 400% and above FPL. Other sociodemographic and health variables included in the analyses were maternal age (14 to less than 20 years; 20 to less than 25 years; 25 to less than 30 years; or 30 to 44 years); maternal race/ethnicity (non-Hispanic white; non-Hispanic black; or Hispanic); maternal education (less than high school; high school graduate; some higher education; or Associate degree and above); marital status (married or single/divorced/separated/widowed); parity (first infant or 2 or more); preterm birth (yes, less than 37 weeks, or no, 37 weeks and above); low birth weight (yes, less than 2,500 grams; no, 2,500 grams and above); insurance (private or MediGap; Medicaid, CHIP, or a state-sponsored plan; Medicare, military, or other government plan; or single service, Indian Health Service, or not covered); and dwelling (urban, principal city; urban, other than principal city; or rural).


## 2.3. Analyses

Due to the complex sampling design of the NSFG 2011–2013, analyses were conducted to account for the computational units, strata, and final weights. SAS version 9.3® (Cary, NC) software was used to determine the descriptive characteristics of the sample, and the relationship between breastfeeding and FPL in logistic regression. The model-based imputations in the NSFG 2011–2013 data for the variables chosen had a maximum imputation occurring with FPL (5.94%). An adjusted regression model was built which included maternal age, maternal race/ethnicity; maternal education; marital status; parity; preterm birth, birth weight; insurance; and dwelling.


## 3. Results

The study population was derived from the National Survey of Family Growth 2011–2013 data. There were 5,397 participants in this study. There were 3,302 (64.1%) participants who breastfed and 2,095 (35.9%) who did not breastfeed. There were 2,406 (35.3%) at 0–99% of the FPL; 1,324 (23.3%) at the 100–199% FPL; 701 (15.9%) at the 200–299% FPL; 414 (10.4%) at the 300–399% FPL; and 552 (15.1%) at or above the 400% FPL. The sample description is presented in Table1.Table 1
Descriptive statistics of participants in the National Survey of Family Growth (NSFG) 2011–2013.
Yes breastfeeding
No breastfeeding
Total
N
Wt Col%
N
Wt Col%
Total
All
3,302
64.1
2,095
35.9
5,397
Federal Poverty Level (FPL)
0–99% of FPL
1,270
18.9
1,136
16.3
2,406
100–199% FPL
811
14.7
513
8.6
1,324
200–299% FPL
487
10.9
214
5.0
701
300–399% FPL
299
7.4
115
3.0
414
400% and above FPL
435
12.2
117
3.0
552
Maternal age (all)
3,302
64.1
2,095
35.9
5,397
14 to less than 20 years
472
6.6
468
7.2
940
20 to less than 25 years
1,065
18.1
827
13.2
1,892
25 to less than 30 years
995
21.2
504
10.0
1,499
30 years to 44 years
770
18.3
296
5.4
1,066
Maternal race/ethnicity (all)
3,302
64.1
2,095
35.9
5,397
Non-Hispanic white
1,535
39.7
802
19.3
2,337
Non-Hispanic black
561
7.1
752
8.6
1,313
Hispanic
1,206
17.3
541
7.9
1,747
Maternal education (all)
3,302
64.1
2,095
35.9
5,397
Less than high school
639
10.6
513
6.6
1,152
High school graduate
828
14.4
824
15.1
1,652
Some higher education
730
13.5
428
7.6
1,158
Associate degree and above
1,105
25.6
330
6.5
1,435
Marital status (all)
3,302
64.1
2,095
35.9
5,397
Single/separated/widowed/divorced
1,538
41.2
1,408
19.5
2,946
Married
1,764
22.9
687
16.3
2,451
Parity (all)
3,302
64.1
2,095
35.9
5,397
First infant
521
9.1
344
5.2
865
2 or more
2,781
55.0
1,751
30.7
4,532
Preterm birth (all)
3,254
64.1
2,068
35.9
5,322
Yes (less than 37 weeks)
390
6.8
315
5.5
705
No (37 weeks and above)
2,864
57.2
1,753
30.4
4,617
Low birth weight (all)
3,302
64.1
2,095
35.9
5,397
Yes (less than 2500 grams)
259
4.1
197
3.5
456
No (2500 grams and above)
3,043
60.1
1,898
32.3
4,941
Insurance (all)
3,302
64.1
2,095
35.9
5,397
Private or MediGap
1,486
35.8
626
14.7
2,112
Medicaid, CHIP, or a state-sponsored plan
779
9.8
821
11.0
1,600
Medicare, military, or other gv’t plans
219
3.4
109
1.8
328
Single service plan, IHS, or no coverage
818
15.2
539
8.4
1,357
Dwelling (all)
3,302
64.1
2,095
35.9
5,397
Urban, principal city
1,343
19.7
932
12.4
2,275
Urban, other than principal city
1,585
36.1
780
17.0
2,365
Rural
374
8.3
383
6.5
757
Note:  based on 5,397 participants with infants from the National Survey of Family Growth 2011–2013.  Preterm data were missing for 75 participants and the number and percentage of breastfeeding by these participants are not presented in the table.
N: number; CHIP:  Children’s Health Insurance Program; gv’t: government; IHS: Indian Health Service; Wt Col%: weighted column percentage.In unadjusted logistic analysis, there were significant relationships between breastfeeding and income for all of the participants. In stratified analyses, there were significant associations between breastfeeding and income with maternal age in the 25–30 year category; maternal age in the 30 year and older category; maternal race/ethnicity; maternal education in the Associate degree and above category; parity in the second baby or above category; preterm birth; insurance in all categories except the Medicaid, Chip, State sponsored plan category; and urban dwelling. The results of the unadjusted logistic regressions are presented in Table2.Table 2
Unadjusted odds ratios (OR) and 95% confidence intervals (CI) of Federal Poverty Level (FPL) categories (reference group = 0–99% FPL) from separate logistic regressions on breastfeeding National Survey of Family Growth (NSFG) 2011–2013.
Number
100–199% FPL
200–299% FPL
300–399% FPL
400%+ FPL
Wald
p value
All
5,397
1.47 (1.09, 1.99)
1.89 (1.33, 2.70)
2.16 (1.37, 3.39)
3.51 (2.21, 5.59)
<0.001
Maternal age
14 to less than 20 years
940
1.25(0.72, 2.17)
1.64 (0.78, 3.44)
0.35 (0.11, 1.07)
0.82 (0.21, 3.21)
0.134
20 to less than 25 years
1,892
1.42 (0.95, 2.12)
1.58 (1.04, 2.40)
1.68 (1.02, 2.79)
1.67 (0.77, 3.60)
0.115
25 to less than 30 years
1,499
1.63 (0.99, 2.70)
2.29 (1.34, 3.94)
2.22 (1.20, 4.09)
2.91 (1.72, 4.92)
<0.001
30 to 44 years
1,066
1.32 (0.70, 2.48)
1.28 (0.63, 2.61)
2.48 (1.18, 5.22)
3.90 (1.96, 7.76)
0.001
Maternal race/ethnicity
Non-Hispanic white
2,337
1.89 (1.18, 3.03)
2.57 (1.60, 4.12)
2.78 (1.62, 4.78)
4.18 (2.36, 7.40)
<0.001
Non-Hispanic black
1,313
1.63 (0.95, 2.81)
1.97 (0.93, 4.16)
4.83 (1.44, 16.21)
3.52 (1.25, 9.94)
0.005
Hispanic
1,747
1.16 (0.62, 2.01)
1.05 (0.40, 2.76)
0.78 (0.28, 2.17)
2.95 (1.27, 6.86)
0.023
Maternal education
Less than high school
1,152
1.49 (0.90, 2.49)
1.36 (0.51, 3.68)
1.65 (0.23, 11.77)
0.23 (0.03, 1.83)
0.226
High school graduate
1,652
1.47 (0.86, 2.50)
1.73 (0.83, 3.62)
1.26 (0.46, 3.43)
1.59 (0.73, 3.46)
0.448
Some higher education
1,158
1.49 (0.86, 2.57)
1.28 (0.67, 2.45)
1.07 (0.37, 3.15)
2.07 (0.78, 5.51)
0.442
Associate degree and above
1,143
0.91 (0.40, 2.07)
1.71 (0.87, 3.36)
2.03 (0.94, 4.36)
2.51 (1.24, 5.07)
0.018
Marital status
Single/separated/widowed/divorced
2,946
1.28 (0.84, 1.97)
1.50 (0.87, 2.60)
1.62 (0.81, 3.22)
2.16 (1.06, 4.38)
0.153
Married
2,451
1.39 (0.77, 2.51)
1.55 (0.95, 2.53)
1.68 (0.85, 3.33)
2.99 (1.49, 6.00)
0.044
Parity
First infant
865
1.08 (0.63, 1.84)
1.45 (0.86, 2.44)
1.23 (0.62, 2.44)
1.46 (0.71, 3.01)
0.657
2 or more
4,532
1.54 (1.11, 2.14)
1.96 (1.32, 2.92)
2.43 (1.41, 4.21)
4.29 (2.59, 7.09)
<0.001
Preterm birth
Yes (less than 37 weeks)
705
1.36 (0.97, 1.90)
1.77 (1.13, 2.79)
1.98 (1.09, 3.60)
3.34 (1.96, 5.69)
<0.001
No (37 weeks and above)
4,617
1.65 (1.06, 2.59)
2.15 (1.32, 3.48)
2.61 (1.37, 4.96)
3.75 (2.06, 6.83)
<0.001
Low birth weight
Yes (less than 2500 grams)
456
1.32 (0.58, 2.98)
1.50 (0.44, 5.15)
2.25 (0.68, 7.44)
4.62 (1.70, 12.54)
0.036
No (2500 grams and above)
4,941
1.46 (1.07, 2.00)
1.94 (1.39, 2.72)
2.13 (1.34, 3.38)
3.40 (2.11, 5.49)
<0.001
Insurance
Private  or MediGap
2,112
1.62 (0.94, 2.81)
1.57 (0.89, 2.77)
1.80 (1.03, 3.16)
3.62 (1.94, 6.76)
0.001
Medicaid, CHIP, or a state-sponsored plan
1,600
1.16 (0.71, 1.90)
2.43 (1.09, 5.45)
1.21 (0.44, 3.36)
1.70 (0.40, 7.25)
0.278
Medicare, military, or other gv’t plans
328
1.95 (0.77, 4.95)
1.90 (0.82, 4.37)
2.87 (1.09, 7.54)
0.56 (0.93, 3.41)
0.004
Single service plan, IHS, or no coverage
1,357
1.08 (0.62, 1.88)
2.19 (0.99, 4.85)
3.77 (1.55, 9.16)
1.64 (0.72, 3.71)
0.004
Dwelling
Urban, principal city
2,275
1.22 (0.72, 2.07)
3.21 (1.98, 5.22)
2.80 (1.34, 5.87)
5.68 (2.48, 12.97)
<0.001
Urban, other than principal city
2,365
1.95 (1.31, 2.90)
1.54 (0.94, 2.52)
1.87 (1.01, 3.48)
3.11 (1.70, 5.70)
<0.001
Rural
757
1.04 (0.49, 2.20)
1.51 (0.66, 3.41)
2.63 (1.06, 6.50)
2.61 (0.94, 7.27)
0.255
Note:  based on 5,397 mothers with infants from the National Survey of Family Growth 2011–2013.  Preterm data were missing for 75 participants and the number and percentage of breastfeeding by these participants are not presented in the table.
The separate logistic regressions tested the relationship between breastfeeding and Federal Poverty Level categories of household income for each characteristic.
CHIP:  Children’s Health Insurance Program; gv’t: government; IHS: Indian Health Service; Wt Col%: weighted column percentage.
FPL = Federal Poverty Level.
0–99% Federal Poverty Level is the reference group.The results of two logistic regression models on breastfeeding are presented in Table3. The first model demonstrates the combined effect of entering maternal age, maternal education, marital status, and dwelling on the relationship between breastfeeding and FPL. FPL is attenuated and no longer significant in this parsimonious model. The complete model further attenuated the relationship.Table 3
Adjusted odds ratios (AOR) and 95% confidence intervals (CI) from logistic regression on breastfeeding National Survey of Family Growth (NSFG) 2011–2013 (n
=
5397).
Adjusted logistic regression
Model 1
p value
Model 2
p value
Federal Poverty Level
0–99% of Federal Poverty Level
Reference
Reference
100–199% of Federal Poverty Level
1.23 (0.99, 1.70)
0.2091
1.19 (0.86, 1.65)
0.305
200–299% of Federal Poverty Level
1.24 (0.86, 1.79)
0.2392
1.25 (0.88, 1.76)
0.212
300–399% of Federal Poverty Level
1.09 (0.68, 1.75)
0.7081
1.05 (0.65, 1.70)
0.831
400% and above
1.50 (0.89, 2.51)
0.1281
1.45 (0.83, 2.52)
0.193
Maternal age
14 to less than 20 years
0.76 (0.57, 1.00)
0.0467
0.75 (0.56, 1.00)
0.050
20 to less than 25 years
Reference
Reference
25 to less than 30 years
1.18 (0.96, 1.44)
0.1180
1.17 (0.95, 1.43)
0.137
30 to 44 years
1.56 (1.15, 2.13)
0.0008
1.61 (1.18, 2.18)
0.002
Maternal race/ethnicity
Non-Hispanic white
Reference
Non-Hispanic black
0.52 (0.38, 0.71)
0.004
Hispanic
1.47 (1.03, 2.08)
0.516
Maternal education
Less than high school
Reference
Reference
High school graduate
0.53 (0.35, 0.79)
0.0019
0.61 (0.39, 0.98)
0.039
Some higher education
0.88 (0.59, 1.33)
0.5527
1.10 (0.69, 1.76
0.693
Associate degree and above
1.50 (0.99, 2.27)
0.0569
1.87 (1.16, 3.00)
0.010
Marital status
Single/separated/widowed/divorced
0.65 (0.50, 0.84)
0.89 (0.73, 1.083)
0.221
Married
Reference
Reference
Parity
First infant
Reference
2 or more
0.91 (0.71, 1.16)
0.432
Low birth weight
Yes (less than 2500 grams)
0.86 (0.55, 1.33)
0.486
No (2500 grams and above)
Reference
Preterm birth
Yes(less than 37 weeks)
Reference
No (37 weeks and above)
1.21 (0.93, 1.57)
0.164
Insurance
Private or MediGap
0.85 (0.60, 1.22)
0.383
Medicaid, CHIP, or a state-sponsored plan
0.61 (0.44, 0.85)
0.003
Medicare, military, or other government plans
1.02 (0.68, 1.55)
0.909
Single service plan, Indian Health Service, or no coverage
Reference
Dwelling
Urban, principal city
1.56 (1.06, 2.29)
0.0243
1.62 (1.07, 2.46)
0.023
Urban, other than principal city
1.55 (1.11, 2.17)
0.0103
1.48 (1.04, 2.09)
0.028
Rural
Reference
Reference
Note:  based on 5,397 participants with infants from the National Survey of Family Growth 2011–2013.There were no interactions with FPL and marital status, preterm birth, and dwelling when each variable was entered individually in the logistic regressions. There was a slight attenuation of the association of FPL and breastfeeding when maternal age and maternal education were entered individually in logistic regressions. It was the combined effects of the variables which altered the FPL-breastfeeding relationship. The results of the adjusted logistic regression analyses stratified for each category of maternal race/ethnicity, marital status, and preterm birth are presented in Table4.Table 4
Adjusted stratified logistic regression results with race/ethnicity, gestation, and marital status on breastfeeding, National Survey of Family Growth (NSFG) 2011–2013.
Adjusted odds ratios (95% confidence interval)
Number
100–199% FPL
200–299% FPL
300–399% FPL
400%+ FPL
p value
Maternal race/ethnicity
Non-Hispanic white1
2,337
1.01 (0.61, 1.70)
0.93 (0.53, 1.61)
0.83 (0.44, 1.59)
1.00 (0.52, 1.92)
0.974
Non-Hispanic black2
1,313
1.23 (0.80, 1.90)
1.67 (0.90, 3.11)
1.96 (0.79, 4.88)
1.81 (0.84, 3.91)
0.253
Hispanic3
1,747
1.17 (0.62, 2.19)
1.21 (0.47, 3.09)
0.83 (0.39, 1.76)
2.49 (0.92, 6.76)
0.219
Marital status
Single/separated/widowed/divorced4
2,946
1.15 (0.79, 1.68)
1.28 (0.71, 2.32)
1.18 (0.54, 2.56)
1.28 (0.58, 2.84)
0.892
Married5
2,451
1.16 (0.64, 2.09)
0.94 (0.53, 1.66)
0.90 (0.43, 1.87)
1.18 (0.58, 2.37)
0.869
Preterm birth
Yes (less than 37 weeks)6
705
1.14 (0.64, 2.04)
1.14 (0.66, 1.98)
1.13 (0.51, 2.53)
1.44 (0.66, 3.13)
0.918
No (37 weeks and above)7
4,617
1.15 (0.85, 1.58)
1.26 (0.82, 1.93)
0.98 (0.56, 1.73)
1.40 (0.72, 2.75)
0.759
Interactions
Non-Hispanic white, married, not preterm
544
0.60 (0.20, 1.75)
0.64 (0.17, 2.34)
0.64 (0.16, 2.61)
0.81 (0.19, 3.46)
0.864
Non-Hispanic white, single, not preterm
311
0.86 (0.39, 1.90)
0.84 (0.31, 2.32)
0.32 (0.08, 1.27)
0.43 (0.09, 2.08)
0.441
Non-Hispanic white, married, preterm
857
1.12 (0.39, 3.22)
0.56 (0.20, 1.59)
0.71 (0.22, 2.32)
0.86 (0.25, 2.95)
0.866
Non-Hispanic white, single, preterm
625
1.08 (0.57, 2.04)
3.00 (1.39, 6.48)
1.61 (0.54, 4.83)
1.08 (0.37, 3.12)
0.086
Non-Hispanic black, married, not preterm
89
0.76 (0.02, 27.42)
1.51 (0.01, 141.84)
1.89 (0.04, 91.30)
1.03 (0.01, 113.05)
0.987
Non-Hispanic black, single, not preterm
334
1.37 (0.45, 4.12)
0.76 (0.20, 2.86)
7.02 (0.79, 62.55)
0.72 (0.13, 4.02)
0.232
Non-Hispanic black, married, preterm
208
2.09 (0.55, 7.93)
2.43 (0.49, 12.01)
14.20 (1.61, 125.07)
6.08 (0.66, 55.59)
0.083
Non-Hispanic black, single, preterm
682
1.42 (0.76, 2.66)
2.28 (0.79, 6.59)
1.38 (0.38, 4.99)
2.04 (0.50, 8.36)
0.547
Hispanic, married, not preterm
204
Limited cell sizes
Limited cell sizes
Limited cell sizes
Limited cell sizes
Hispanic, single, not preterm
250
0.83 (0.33, 2.08)
0.07 (0.01, 0.36)
Limited cell sizes
Limited cell sizes
Hispanic, married, preterm
549
0.82 (0.50, 1.32)
1.60 (0.48, 5.35)
0.29 (0.07, 1.29)
1.11 (0.27, 4.58)
0.327
Hispanic, single, preterm
744
1.04 (0.43, 2.50)
2.02 (0.59, 6.92)
1.15 (0.28, 4.74)
1.42 (0.27, 7.42)
0.834
FPL = Federal Poverty Level.
0–99% Federal Poverty Level is the reference group.
Subgroups are adjusted for maternal age (14 to less than 20 years; 20 to less than 25 years; 25 to less than 30 years; or 30 to 44 years), maternal race/ethnicity (non-Hispanic white; non-Hispanic black; or Hispanic), maternal education (less than high school; high school graduate; some higher education; or Associate degree and above), marital status (married or single/separated/divorced), parity (first infant or 2 or more), preterm birth (yes, less than 37 weeks, or no, 37 weeks and above), low birth weight (yes, less than 2500 grams, or no, 2500 grams and above), insurance (private or MediGap; Medicaid, CHIP, or a state-sponsored plan; Medicare, military, or other government plans; or single service plan, IHS, or no coverage), and dwelling (urban, principal city; urban, other than principal city; or rural) except as noted.
1Stratified to non-Hispanic white participants.  2Stratified to non-Hispanic black participants.  3Stratified to Hispanic participants. 4Stratified to single/separated/widowed/divorced participants.  5Stratified to married participants.  6Stratified to participants with preterm infants.  7Stratified to participants with infants who were not preterm.


## 4. Discussion

The odds ratio for the association between FPL and breastfeeding failed to reach significance in an adjusted logistic regression with the covariates of maternal age, maternal race/ethnicity, maternal education, marital status, parity, preterm birth, low birth weight, insurance, and dwelling. Although studies exist which address only maternal low income and breastfeeding, there is a paucity of information concerning income disparity (concerning a more comprehensive and inclusive approach to income) and breastfeeding in the US. Nevertheless, similar results to support this study were found in a study of 10,519 women in California who gave birth between 1999 and 2001 in which Heck and colleagues [11] found that family income was not associated with breastfeeding. Lutter and Morrow [12] reported a trend in Africa, Asia, Latin America, and the Middle East over the previous two decades in which annual increases in breastfeeding were not associated with the gross national income of the participants’ respective countries.Researchers conducting a study of three hospitals in Canada found conflicting results regarding breastfeeding initiation and maternal income. Overall breastfeeding initiation increased over time, although for one hospital the rate difference between maternal high income and low income decreased, for another hospital the rate difference remained the same, and for the third hospital the rate difference increased [15].Supporting the association between breastfeeding rates and income, researchers using the 1999–2006 National Health and Nutrition Examination Surveys suggested that women with higher incomes were significantly more likely to breastfeed than women with low incomes [13]. In a large population-based ecological study in Ontario, Canada, women with higher incomes were more likely to breastfeed their infants than women with lower incomes [14].Future studies are needed to further clarify the role of FPL on breastfeeding and to examine the role of supportive services, such as WIC, in encouraging breastfeeding. This study’s main limitation is that the data collected were self-reported. Self-reported measures are subject to social desirability bias, which occur when a participant responds in a way to appear more positive. Second, a causal interpretation cannot be applied as the cross-sectional design of the study does not indicate temporality. However, the study has several strengths. It is a large study using national data and the sampling used a multistage probability-based and representative design.


## 5. Conclusion

While FPL was significantly associated with lack of breastfeeding in unadjusted analyses, the role of FPL failed to reach significance in the adjusted regression analyses of the study, suggesting a need for all women to have breastfeeding initiation support. Women of childbearing age should be educated about the benefits of breastfeeding for themselves and their infants. The workers in supportive programs, such as WIC, are important in encouraging breastfeeding in their clients. Healthcare providers should continue to promote breastfeeding and to help meet Healthy People 2020 goals.



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*Source: 9783704-2016-03-03.xml*