| Literature DB >> 34948892 |
Youn Huh1, Yu Na Kim2, Young Sik Kim2.
Abstract
Many efforts have been launched to promote breastfeeding in Korea. However, breastfeeding trends and associated factors with breastfeeding in Korea remain unknown. This study aimed to examine trends and determinants in breastfeeding using the Korea National Health and Nutrition Examination Survey (KNHANES) (2010-2018). We analyzed data from the KNHANES V (2010-2012), VI (2013-2015), and VII (2016-2018). A total of 9232 women aged 19-49 years were included in this study. We performed multivariable logistic regression analyses to investigate breastfeeding prevalence trends and associated factors with breastfeeding. Compared to 2010-2012, the odds ratio associated with breastfeeding during 2013-2015 and 2016-2018 increased to 1.30 (95% confidence interval (CI): 1.11-1.51) and 1.40 (95% CI: 1.21-1.63), respectively. The breastfeeding rate was associated with 40-49 years (OR, 95% CI: 0.47, 0.34-0.64 compared to 19-29 years), richer and poorer income (1.20, 1.03-1.39 in richer group and 1.24, 1.05-1.46 in poorer group compared to richest group), education level (0.74, 0.65-0.86 in ≤12 years of education compared to ≥13 years of education), smoking status (1.77, 1.38-2.28 in non-smoking compared to smoking), and self-rated health (1.40, 1.14-1.70 in good and 1.20, 1.00-1.44 in average compared to bad). Education programs and policies such as the Baby-Friendly Hospital Initiative (BFHI) and mother-friendly workplaces are necessary to increase the rates of breastfeeding in these groups.Entities:
Keywords: Korea; breastfeeding; breastfeeding rate; determinants of breastfeeding; smoking; trend
Mesh:
Year: 2021 PMID: 34948892 PMCID: PMC8701338 DOI: 10.3390/ijerph182413279
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Study profile.
Figure 2Trends in the prevalence of breastfeeding among women aged 19–49 years from 2010 to 2018.
Trends in the prevalence of breastfeeding among women aged 19–49 years from 2010 to 2018 in subgroups.
| Classification | Variables | 2010–2012 | 2013–2015 | 2016–2018 | |
|---|---|---|---|---|---|
| % (SE) | % (SE) | % (SE) | |||
| Age (years) | 19–29 | 86.8 (2.8) | 87.3 (3.1) | 82.3 (3.5) | 0.528 |
| 30–39 | 80.9 (1.4) | 86.0 (1.3) | 88.3 (1.0) | <0.001 | |
| 40–49 | 71.0 (1.3) | 75.2 (1.3) | 76.7 (1.2) | 0.004 | |
| Income | Richest | 73.9 (3.4) | 75.7 (4.3) | 81.2 (2.8) | 0.302 |
| Richer | 77.7 (1.7) | 80.7 (1.6) | 83.2 (1.6) | 0.058 | |
| Poorer | 79.9 (1.4) | 82.2 (1.4) | 80.0 (1.5) | 0.436 | |
| Poorest | 71.3 (1.7) | 79.1 (1.6) | 81.8 (1.3) | <0.001 | |
| Education level | ≤12 years | 74.4 (1.1) | 77.2 (1.3) | 76.5 (1.4) | 0.230 |
| ≥13 years | 79.1 (1.3) | 84.0 (1.2) | 85.2 (0.9) | 0.001 | |
| Occupation | Housewife | 77.8 (1.2) | 81.5 (1.3) | 81.4 (1.3) | 0.058 |
| Manufacturing/service | 74.6 (1.8) | 77.9 (1.7) | 79.8 (1.7) | 0.077 | |
| Office worker | 75.3 (1.9) | 81.1 (1.5) | 82.9 (1.3) | 0.002 | |
| Alcohol consumption | (−) | 77.9 (1.2) | 80.2 (1.3) | 83.6 (1.2) | 0.005 |
| (+) | 74.5 (1.3) | 80.7 (1.2) | 79.8 (1.2) | 0.001 | |
| Smoking status | (−) | 76.9 (0.9) | 80.9 (0.9) | 82.5 (0.8) | <0.001 |
| (+) | 66.6 (4.5) | 72.5 (4.2) | 66.8 (4.1) | 0.548 | |
| Limitation of activity | (+) | 73.2 (4.1) | 76.2 (4.7) | 69.3 (5.1) | 0.637 |
| (−) | 76.4 (0.9) | 80.6 (0.9) | 81.8 (0.8) | <0.001 | |
| Self-rated health | Good | 78.6 (1.6) | 82.5 (1.3) | 84.4 (1.3) | 0.012 |
| Average | 76.0 (1.3) | 80.8 (1.2) | 80.6 (1.1) | 0.006 | |
| Bad | 71.3 (2.8) | 74.2 (2.7) | 78.0 (2.2) | 0.190 |
Abbreviations: SE, standard error. Data are presented as percentages (SE). p-Values were obtained by using chi-squared test.
Basic characteristics of women aged 19–49 years from 2010 to 2018.
| Classification | Variables | Total | Breast Feeding (+) | |
|---|---|---|---|---|
| ( | ( | % (SE) | ||
| Age (years) | 19–29 | 443 | 386 | 85.9 (1.9) |
| 30–39 | 3940 | 3356 | 84.8 (0.7) | |
| 40–49 | 4849 | 3637 | 74.3 (0.7) | |
| Income | Richest | 563 | 439 | 76.7 (2.1) |
| Richer | 2410 | 1949 | 80.2 (1.0) | |
| Poorer | 3191 | 2590 | 80.7 (0.8) | |
| Poorest | 3068 | 2401 | 77.4 (0.9) | |
| Education level | ≤12years | 4544 | 3481 | 75.8 (0.7) |
| ≥13years | 4688 | 3898 | 83.0 (0.7) | |
| Occupation | Housewife | 4276 | 3439 | 80.1 (0.7) |
| Manufacturing/service | 2385 | 1869 | 77.1 (1.0) | |
| Office worker | 2571 | 2071 | 80.2 (0.9) | |
| Alcohol consumption | (−) | 8734 | 7024 | 80.0 (0.5) |
| (+) | 498 | 355 | 68.5 (2.5) | |
| Smoking status | (−) | 4551 | 3664 | 80.2 (0.7) |
| (+) | 4681 | 3715 | 78.3 (0.7) | |
| Limitation of activity | (+) | 342 | 255 | 73.3 (2.9) |
| (−) | 8890 | 7124 | 79.5 (0.5) | |
| Self-rated health | Good | 3164 | 2596 | 81.6 (0.8) |
| Average | 4842 | 3858 | 79.1 (0.7) | |
| Bad | 1226 | 925 | 74.3 (1.5) | |
Abbreviations: SE, standard error. Data are presented as percentages (SE).
Factors associated with breastfeeding rate in women aged 19–49 years from 2010 to 2018.
| Classification | Variables | OR (95% CI) | |
|---|---|---|---|
| Period | 2010–2012 | 1 | |
| 2013–2015 | 1.30 (1.11–1.51) | 0.001 | |
| 2016–2018 | 1.40 (1.21–1.63) | <0.001 | |
| Age(years) | 19–29 | 1 | |
| 30–39 | 0.86 (0.62–1.20) | 0.375 | |
| 40–49 | 0.47 (0.34–0.64) | <0.001 | |
| Income | Richest | 1 | |
| Richer | 1.20 (1.03–1.39) | 0.018 | |
| Poorer | 1.24 (1.05–1.46) | 0.012 | |
| Poorest | 1.19 (0.92–1.54) | 0.184 | |
| Education level | ≤ 12years | 0.74 (0.65–0.86) | <0.001 |
| ≥ 13years | 1 | ||
| Occupation | Housewife | 1.02 (0.88–1.17) | 0.816 |
| Manufacturing/service | 1.13 (0.95–1.35) | 0.171 | |
| Office worker | 1 | ||
| Alcohol consumption | (−) | 1.12 (0.99–1.27) | 0.067 |
| (+) | 1 | ||
| Smoking status | (−) | 1.77 (1.38–2.28) | <0.001 |
| (+) | 1 | ||
| Limitation of activity | (+) | 0.93 (0.69–1.27) | 0.658 |
| (−) | 1 | ||
| Self-rated Health | Good | 1.40 (1.14–1.70) | 0.001 |
| Average | 1.20 (1.00–1.44) | 0.048 | |
| Bad | 1 |
Abbreviations: OR, odds ratio; CI, confidence interval. Values were calculated by multivariable logistic regression analysis, which was adjusted for period, age, income, education level, occupation, alcohol consumption, smoking status, limitation of activity, and self-related health.