Skip to main content

Seasonal differences in breastfeeding in the United States: a secondary analysis of longitudinal survey data



Both the consumption of breastmilk in infancy and a person’s season of birth influences his or her health, educational, professional, and behavioral outcomes. Further, season of birth effects differ by sex. However, current research, for the most part, neglects to examine if season of birth and breastfeeding are related. This paper examines the impact of sex-based variations in season of birth on breastfeeding likelihood and duration in the U.S.


Using data from children born to female respondents of the National Longitudinal Survey of Youth 1979 (born between 1970 and 2012), this study examines with Probit, Negative Binomial, and Ordinary Least Squares (OLS) regressions if a child’s season of birth and sex are correlated with breastfeeding incidence and duration. The breastfeeding incidence and duration data are self-reported by the mother.


Season of birth has a small but statistically significant impact on the incidence and duration of breastfeeding, which varies depending on the sex of the infant. Mothers giving birth to sons in the spring are 13.5% less likely to breastfeed than those giving birth to sons in the winter (with a p - value of 0.0269). Mothers with daughters born in the summer or fall (autumn) breastfeed slightly longer than mothers with daughters born in the spring. On average, mothers of summer-born daughters breastfeed 4.1% longer (with a 95% confidence interval of 0.3 - 7.8) and those with fall-born daughters 3.8% longer (with a 95% confidence interval of 0 - 7.5). Mothers giving birth to daughters in the spring are also significantly less likely to reach the breastfeeding six-week duration target (compared to fall and winter births) and the one-year duration target (compared to fall births).


These findings suggest that the costs and benefits of breastfeeding an infant vary with the season of birth and the sex of the child. This finding could explain some of the season of birth effects previously identified in the literature. Further, policymakers seeking to increase breastfeeding rates should consider the reduced breastfeeding rates and durations for children born in the spring.


There is strong evidence regarding the existence of season of birth variations in health, personality, and even IQ [1,2,3,4,5,6,7,8,9,10]. Similar variations in health, personality, and IQ exist based on an infant’s feeding method [11,12,13]. This paper uses data from the United States to examine if an infant’s season of birth affects his or her feeding method. While existing research notes the presence of seasonal trends in breastfeeding within developing nations, researchers have yet to fully investigate the possibility of seasonal differences in breastfeeding within developed nations. If seasonal differences in breastfeeding exist, then strategies and policies which influence breastfeeding incidence and duration could be structured to target the most at-risk birth seasons and could potentially help counteract some of the unfavorable effects of being born in a particular season.

Existing research

As with any decision, a mother chooses to initiate breastfeeding (or continue breastfeeding) if the benefits outweigh the costs. A number of correlates to breastfeeding exist in the literature, and these correlates change the cost and benefit analysis in ways that influence breastfeeding decisions. For example, in the United States, more educated women likely have greater knowledge of the benefits of breastfeeding, greater access to financial resources or paid leave to support the financial costs of breastfeeding, are less likely to be recipients of the Special Supplemental Nutrition Program for Women Infant and Children (WIC) receiving discounted or free infant formula, and are more likely to have peers that breastfeed. Similar relationships exist based on a woman’s marital status, income, labor force participation, age, family size, generation, and potentially race [14,15,16,17,18].

We suspect that a child’s season of birth and sex are also correlated with the costs and benefits of breastfeeding. For instance, mothers wishing to improve health outcomes should be more likely to breastfeed in colder seasons when infections are more common, and the benefit of increased immunity is more important. The costs and benefits of continuing to breastfeed may also differ by season or sex due to fertility concerns. Breastfeeding durations may be shorter for daughters if there is a preference for sons, due to breastfeeding’s contraceptive effect [19]. For some ethnicities, female infants have a greater likelihood of being breastfed and are breastfed for longer durations than male infants [20]. In a similar vein, breastfeeding patterns could vary by season if there is a preferred time of the year to become pregnant or give birth [21].

While several existing studies examine seasonal and sex-based differences in breastfeeding incidence, little attention is given to the two combined. Furthermore, the vast majority of existing seasonal studies consider nations such as Tanzania, Egypt, India, Brazil, Kenya, and Senegal that are less developed or have climates with only two seasons: wet and dry [22]. These studies document numerous seasonal effects on breastfeeding including: increased weaning in warmer months or following a rainy season, decreased breastfeeding rates during hot weather (as pregnancy rates climb), decreased duration in the months leading up to winter, and longer breastfeeding durations of malnourished children [23,24,25,26].

Samuelsson and Ludvigsson present one of the only seasonal breastfeeding studies of a developed nation [27]. They investigate if birth season and breastfeeding differences in Sweden could explain the elevated risk of summer-born children developing diabetes mellitus. They find that summer-born babies are exclusively breastfed for a shorter duration; however, they find no significant difference in breastfeeding duration between those developing diabetes and the control group. Yet, children born in the summer in their study are both more likely to develop diabetes and are breastfed for shorter durations. The only other examination of seasonal breastfeeding in a developed nation is a letter to the editor by the present authors, where we summarized some preliminary findings of our research [28].

Not only might feeding patterns differ by season, evidence suggests that breast milk quality (including complex nutrients for gut and brain health and disease prevention) changes in regard to both the season and the child’s gender [29, 30]. In fact, Kanazawa and Segal explore health outcomes of same sex versus opposite-sex twins from the U.S. and find that opposite-sex twins appear to be disadvantaged in growth, presumably from the lack of sex specificity in their breast milk [31].

Given that consuming breastmilk in infancy has been linked to health and educational benefits, and that breast milk content differs by sex and potentially season, it is surprising that few researchers explore the implications of seasonal variation in breastfeeding in developed nations. Furthermore, given individuals’ different lifestyles in cold versus warm months and differences in virus exposure, as well as potential preferences for a subsequent son or a daughter, it is reasonable to expect that women may choose to breastfeed at a different rate or for a different duration based on the season in which they are giving birth and the sex of the child. This paper fills the void in the current literature by exploring whether one’s season of birth affects his or her likelihood of being breastfed and the duration of said breastfeeding in the United States.


This study uses data for children born to female respondents in the National Longitudinal Survey of Youth from 1970 to 2012 [1, 32]. Conducted by the Bureau of Labor Statistics since 1979, the National Longitudinal Survey of Youth annually or biannually interviews 12,686 individuals from the United States who were 14 to 21 years of age as of December 31, 1978 [1]. For female respondents with children, the survey collects information from mothers about the children’s infant-feeding methods and durations, behaviors, outcomes, and socioeconomic backgrounds [33]. Our study sample uses the merged mother-child survey and includes 6877 children born to women from the original sample as of 2012. By 2012, most of the women in the study had likely completed childbearing, as the women were 47-54 years of age.

This survey allows us to observe seasonal variations in breastfeeding duration and incidence. Furthermore, it allows us to control for factors likely correlated to both season of conception and breastfeeding decisions, such as race, education, labor force participation, income, marital status, maternal age, family size, and child birth order. The breastfeeding data in the survey are self-reported information from the mother at the first survey following the birth of the child (with the question initially being asked in the 1983 survey). The question is asked of the mother “When (child) was an infant, did you breastfeed (him/her) at all?” The follow-up question for those responding “yes” is “How many weeks/months old was (he/she) when you quit breastfeeding (him/her) altogether?” [33]. All answers to this question are converted to weeks.

For our examination, we define winter births as those occurring in December, January, or February. Spring births occur in March, April, or May, while summer births occur in June, July, or August. September, October, or November births are classified as fall births. The socioeconomic controls include race, mother’s highest degree ever reported in the survey, and ASVAB (Armed Services Vocational Aptitude Battery) scores in math. ASVAB scores are used as a proxy for IQ [34]. We also control for the mother’s marital status at the time of the baby’s birth, birth order, the number of kids the mother listed in 1979 as ideal for a family size, the total number of children ever born to the mother, and the age of the mother at her first birth.

We also control for the age group (10-19, 20-29, or 30 +) of the mother at this particular child’s birth. We control to the best of our ability for the number of hours worked by the mom in the year (or year prior) to the child’s birth and the total net family income from 1 to 2 years prior to the child’s birth. Lastly, we use dummy variables for the decade of birth in order to control for cultural changes in breastfeeding that transpired from the 1970’s to today.

To examine the impact of season of birth on breastfeeding incidence and duration, we run estimations for the sample as a whole and for the male and female samples separately. We use the SAS programming language to estimate incidence using ordinary least squares (OLS) and estimate duration using a negative binomial model. We test the significance of the OLS findings by also running probit models. The probit models yield the same findings for significance as the OLS models, thus for ease of interpretation, only the OLS results are presented here. Lastly, we test the impact of season of birth and sex on one’s likelihood of reaching breastfeeding duration targets of 6 weeks (often the initial goal set by mothers), and the targets of 6 months, and 1 year commonly identified by the American Academy of Pediatrics [35, 36].


Table 1 lists sample means. In our sample, 44.6% of children breastfeed, while the average duration of breastfeeding is 21.4 weeks. The birth seasons in our sample are somewhat evenly distributed, with the largest percentage of babies being born in the summer (26.6%) and the fewest being born in the spring (23.9%).

Table 1 Descriptive statistics

The covariates of breastfeeding exhibit the impacts predicted by prior studies. For instance, breastfeeding incidence is lower for black infants and Hispanic female infants, is lower for those whose mothers had less than a college education, and is lower for those whose mothers scored lower on the ASFAB and for those whose mothers worked more hours. Likewise, breastfeeding incidence is lower for infants born into lower income classes, those with a younger mother, and for infants whose parents are not married at birth. Women with a smaller desired family size (reported when they were a teenager) were less likely to breastfeed.

In terms of seasonal differences, at first glance, and without any controls for socioeconomic factors, there appears to be little seasonal difference in breastfeeding incidence. However, once we include controls for socioeconomic factors, we find that season is a significant determinant of breastfeeding incidence for sons (Table 2). In particular, we find that mothers with sons born in the winter are 13.5% more likely to breastfeed than those with sons born in the spring (Table 3). The breastfeeding incidence of daughters does not appear to be significantly related to season of birth.

Table 2 Breastfeeding incidence
Table 3 Percentage change in season of likelihood compared to spring births

In contrast, season of birth appears to have a small but significant impact on the breastfeeding duration of daughters, but has no significant effect on the sons’ durations (Table 4). Mothers with daughters born in the summer or fall breastfeed longer than mothers with daughters born in the spring (on average 4.1% longer for summer-born daughters and 3.8% longer for fall-born daughters). Thus, spring-born males are less likely to breastfeed while spring-born daughters breastfeed for a slightly shorter duration than their winter and fall-born counterparts. Decade of birth has a major impact on breastfeeding duration, but appears to have no statistically significant impact on incidence. For males, the largest factor driving breastfeeding duration appears to be the number of children in the family. Male children are breastfed approximately 8-18% longer if they are in household with more than one child.

Table 4 Breastfeeding duration estimated using a negative binomial model

To further examine differences in duration by season of birth, we estimate the likelihood of meeting three durational targets: six-week, six-month, and one-year, conditional on breastfeeding at least 1 week (for the six-week target) and conditional on meeting the earlier duration target (for six-month and one-year targets). Table 5 lists these results.

Table 5 Season of birth and conditional likelihood of breastfeeding to the 6-week, 6-month, and 1-year duration targets

For mothers with sons, season of birth does not significantly relate to any of the three durational targets. However, mothers with fall and winter-born daughters are more likely than those with spring-born daughters to breastfeed for 6 weeks or more. Among those breastfeeding at least 6 weeks, season of birth does not appear to impact the likelihood of reaching the six-month marker. Finally, mothers with fall-born daughters are more likely than those with spring-born daughters to reach the one-year mark of breastfeeding.


Why would breastfeeding practices differ according to season and gender? One such reason is that newborn girls have lower morbidity rates and are less likely to be affected by conditions such as congenital anomalies, infectious diseases, and lower respiratory infections [37]. While male infants are more susceptible to respiratory and other infections in infancy, females are more susceptible to autoimmune conditions [38]. Thus, it is feasible that mothers of sons may see more benefit to breastfeeding them when they are born in the winter, as rates of respiratory infections rise in the U.S. Consistent with this hypothesis, male children born in the winter season in this study are significantly more likely to be breastfed.

Among mothers who breastfeed their daughters, those giving birth in the fall or summer tend to breastfeed slightly longer than those giving birth in the spring. As the mean duration of breastfeeding in our sample is 21 weeks, it may be that the higher cost of breastfeeding in the summer heat leads to reduced breastfeeding outcomes for spring-born babies.

These findings indicate the personal costs to a mother of breastfeeding while it is hot outside (and more time is spent outdoors and/or traveling) may be higher. This finding is consistent with research from India that suggests that breastfeeding incidence and duration are greater during winter months: “It was found that the children for whom ≥ 3 months of exclusive breastfeeding (EBF) period fell during the winter season had significantly higher odds of receiving exclusive breastfeeding” [26]. However, Das et al. do not differentiate by sex, and their findings do not explain why the difference in duration is only found for daughters in the present study. If indeed the difference in duration was for reasons related to summer heat or differing summer lifestyle factors cutting short spring-born daughters’ breastfeeding duration, then one would expect to find similar duration differences spring-born males. Future examinations of differences in duration by sex and season of birth should explore why similar duration differences do not exist for males.

While these findings are the first of their kind and open the door to a better understanding of factors influencing both breastfeeding and seasonal differences in health outcomes, the present study does have some important limitations. Perhaps the biggest limitation of this study is that breastfeeding trends have changed dramatically since the time the data collection process began. This study attempts to control for this change using decade of birth variables, but a future study should compare these findings with those using contemporary cross-sectional data. A second limitation of this study is that it relies on a mother’s reporting of breastfeeding incidence and duration (sometimes years after the birth of the child). It also fails to quantify whether the breastfeeding is exclusive. Further, this study does not examine the health outcomes as they relate to both season of birth and breastfeeding. This should be explored further to better how much of the seasonal health differences can be explained by (and prevented with) differences in breastfeeding.

Despite the limitations listed above, the longitudinal aspect of the data offers many advantages. In particular, the data offer the ability to examine breastfeeding patterns while controlling for a number of covariates such as the mother’s education and labor force participation, income, marital status, maternal age, total number of children ever born, and the child’s birth order. The biggest contribution of this study is that it brings attention to the previously unexplored potential connection between season of birth, sex, health effects, and seasonality of breastfeeding in a developed nation.


The findings of this study suggest that the costs and benefits of breastfeeding an infant vary with the season of birth and the sex of the child, even in a developed nation such as the US. Not only does the study find that seasonal variations for breastfeeding incidence and duration exist, but its findings also suggest that these seasonal variations differ by sex. This is consistent with the fact that many of the season of birth outcomes also differ by sex [2, 8, 10, 26].

Thus, seasonal differences in breastfeeding could explain some of the seasonal differences in health, personality, and other outcomes previously identified in the literature. Given these findings, it is imperative that future studies of breastfeeding seasonality consider potential differences in accordance with the child’s sex, while future examinations of season of birth effects should control for differences in breastfeeding. Subsequent studies should also examine the reasons for these seasonal differences in breastfeeding. For example, do work schedules or leisure patterns make it easier to breastfeed in one season or another? How does one’s specific climate affect breastfeeding decisions? Although lifestyle patterns and viral seasons tend to be similar for various geographic climates throughout the U.S., future research should analyze the impact of daylight hours, extreme temperatures, and geographical region on breastfeeding. Answering questions such as these is imperative for enabling policymakers and employers to best structure policies to reduce the risks associated with certain seasons of birth. Lastly, research linking seasonal effects of breastfeeding with diets in developing nations may be missing part of the picture. The existence of similar effects in the U.S., where malnutrition and starvation are less common, suggests other factors may be contributing to the observed effects.

Availability of data and materials

The National Longitudinal Survey of Youth is used for this study and is authorized under Title 29, Section 2, of the United States Code. The data described in this article can be freely and openly accessed at Investigator ( [33]. SAS programming code is available upon request.



Exclusive breast feeding


Ordinary least squares


Special Supplemental Nutrition Program for Women Infant and Children


  1. Asano R, Tsuchiya K, Harada T, Kugizaki Y, Nakahara R, Nakayasu C, et al. Season of birth predicts emotional and behavioral regulation in 18-month-old infants: Hamamatsu birth cohort for mothers and children (HBC study). Front Public Health. 2016;4:152.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Basta N, James P, Craft A, McNally R. Season of birth and diagnosis for childhood cancer in northern England, 1968-2005. Paediatr Perinat Epidemiol. 2010;24(3):309–18.

    Article  Google Scholar 

  3. Dassa D, Azorin J, Ledoray V, Sambuc R, Giudicelli S. Season of birth and schizophrenia: sex difference. Prog Neuro-Psychopharmacol Biol Psychiatry. 1986;20(2):243–51.

    Article  Google Scholar 

  4. Davies G, Welham J, Chant D, Torrey E, McGrath J. A systematic review and meta-analysis of northern hemisphere season of birth studies in schizophrenia. Schizophr Bull. 2003;29(3):587–93.

    Article  Google Scholar 

  5. Day F, Forouhi N, Ong K, Perry K. Season of birth is associated with birth weight, pubertal timing, adult body size and educational attainment: a UK Biobank study. Heliyon. 2015;1(2):e00031.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Disanto G, Handel A, Para A, Ramagopalan S, Handunnetthi L. Season of birth and anorexia nervosa. Br J Psychiatry. 2011;198:404–5.

    Article  Google Scholar 

  7. Disanto G, Chaplin G, Morahan J, Giovannoni G, Hyppönen E, Ebers G, et al. Month of birth, vitamin D and risk of immune-mediated disease: a case control study. BMC Med. 2012;10:69.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Ivarsson A, Hernell O, Nyström L, Persson LÅ. Children born in the summer have increased risk for coeliac disease. J Epidemiol Community Health. 2003;57:36–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Locket G, Soto-Ramírez N, Ray M, Everson T, Xu C-J, Patil V, et al. Association of season of birth with DNA methylation and allergic disease. Allergy. 2016;71(9):1314–24.

    Article  CAS  Google Scholar 

  10. Pantazatos S. Prediction of individual season of birth using MRI. Neuroimage. 2014;88:61–8.

    Article  PubMed  Google Scholar 

  11. Horta BL, Loret de Mola C, Victora CG. Breastfeeding and intelligence: a systematic review and meta-analysis. Acta Paediatr. 2015;104(467):14–9.

    Article  PubMed  Google Scholar 

  12. Lodge CJ, Tan DJ, Lau MX, Dai X, Tham R, Lowe AJ, et al. Breastfeeding and asthma and allergies: a systematic review and meta-analysis. Acta Paediatr. 2015;104(467):38–53. PMID: 26192405.

    Article  CAS  PubMed  Google Scholar 

  13. Sutin AR, Stephan Y, Terracciano A. Breastfeeding and adult personality. Eur J Personal. 2016;30(5):484–91.

    Article  Google Scholar 

  14. Brand E, Kothari C, Stark MA. Factors related to breastfeeding discontinuation between hospital discharge and 2 weeks postpartum. J Perinat Educ. 2011;20(1):36–44.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Heck KE, Braveman P, Cubbin C, Chávez GF, Kiely JL. Socioeconomic status and breastfeeding initiation among California mothers. Public Health Rep. 2006;121(1):51–9.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Mandal B, Roe BE, Fein SB. Work and breastfeeding decisions are jointly determined for higher socioeconomic status U.S. mothers. Rev Econ Househ. 2014;12:237–57.

    Article  Google Scholar 

  17. Ogbuanu C, Probst J, Laditka S, Liu J, Baek JD, Glover S. Reasons why women do not initiate breastfeeding: a southeastern state study. Womens Health Issues. 2009;19(4):268–78.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Jones J, Kogan M, Singh G, Dee D, Grummer-Strawn L. Factors associated with exclusive breastfeeding in the United States. Pediatrics. 2011;128(6):1117–25.

    Article  Google Scholar 

  19. Jayachandran S, Kuziemko I. Why do mothers breastfeed girls less than boys? Evidence and implications for child health in India. Q J Econ. 2011;126(3):1485–538.

    Article  Google Scholar 

  20. Shafer EF, Hawkins S. The impact of sex of child on breastfeeding in the United States. Matern Child Health J. 2017;21:2114–21.

    Article  Google Scholar 

  21. Buckles K, Hungerman D. Season of birth and later outcomes: old questions, new answers. Rev Econ Stat. 2013;95(3):711–24.

    Article  PubMed  PubMed Central  Google Scholar 

  22. González-Chica D, Gonçalves H, Nazmi A, Santos I, Barros A, Matijasevich A, et al. Seasonality of infant feeding practices in three Brazilian birth cohorts. Int J Epidemiol. 2012;41(3):743–52.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Serdula M, Seward J, Marks J, Staehling N, Galal O, Trowbridge F. Seasonal differences in breast-feeding in rural Egypt. Am J Clin Nutr. 1986;44(3):405–9.

    Article  CAS  Google Scholar 

  24. Simondon K, Simondon F. Mothers prolong breastfeeding of undernourished children in rural Senegal. Int J Epidemiol. 1998;27(3):490–4.

    Article  CAS  PubMed  Google Scholar 

  25. Sellen D. Weaning, complementary feeding, and maternal decision making in a rural east African pastoral population. J Hum Lact. 2001;17(3):233–44.

    Article  CAS  Google Scholar 

  26. Das A, Chatterjee R, Karthick M, Mahapatra T, Chaudhuri I. The influence of seasonality and community-based health worker provided counselling on exclusive breastfeeding - findings from a cross-sectional survey in India. PLoS One. 2016;11(8):e0161186.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Samuelsson U, Ludvigsson J. Seasonal variation of birth month and breastfeeding in children with diabetes mellitus. J Pediatr Endocrinol Metab. 2001;1:43–6.

    Google Scholar 

  28. Strow CW, Strow BK. Season of birth influences on breastfeeding incidence and duration. World J Pediatr. 2020;16(6):635–6.

    Article  PubMed  Google Scholar 

  29. Davis J, Lewis Z, Krishnan S, Bernstein R, Moore S, Prentice A, et al. Growth and morbidity of Gambian infants are influenced by maternal milk oligosaccharides and infant gut microbiota. Sci Rep. 2017;7:40466.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Fujita M, Roth E, Lo Y-J, Hurst C, Vollner J, Kendell A. In poor families, mothers’ milk is richer for daughters than sons: a test of Trivers-Willard hypothesis in agropastoral settlements in northern Kenya. Am J Phys Anthropol. 2012;149(1):52–9.

    Article  PubMed  Google Scholar 

  31. Kanazawa S, Segal N. Same-sex twins are taller and heavier than opposite-sex twins (but only if breastfed): possible evidence for sex bias in human breast milk. J Exp Child Psychol. 2017;156:186–91.

    Article  Google Scholar 

  32. Bureau of Labor Statistics, U.S. Department of Labor. National longitudinal survey of youth 1979 cohort, 1979-2012 (rounds 1-25). Columbus: Center for Human Resource Research, The Ohio State University; 2014.

    Google Scholar 

  33. Bureau of Labor Statistics, U.S. Department of Labor. Children of the NLSY79, 1979-2012. Columbus: Center for Human Resource Research, The Ohio State University; 2014.

    Google Scholar 

  34. Der G, Batty G, Deary I. Effect of breast feeding on intelligence in children: prospective study, sibling pairs analysis, and meta-analysis. Br Med J (Clin Res Ed). 2006;333:945.

    Article  Google Scholar 

  35. WIC Breastfeeding Support. Setting your breastfeeding goals. U.S. Department of Agriculture. Accessed 3 Feb 2022.

  36. Eidelman A, Schanler R, Johnston M, Landers S, Noble L, Kinga Szucs K, et al. Breastfeeding and the use of human milk. Pediatrics. 2012;129(3):e827–41.

    Article  Google Scholar 

  37. World Health Organization. Sex differentials in infant mortality. 2018. Accessed 13 Mar 2018.

    Google Scholar 

  38. Bouman A, Heineman M, Faas M. Sex hormones and the immune response in humans. Hum Reprod Update. 2005;11(4):411–23.

    Article  CAS  Google Scholar 

Download references


The authors wish to thank Jessica Canada for research assistance in the early stages of this project. They also wish to thank David Zimmer along with the anonymous reviewers and editor for their feedback and suggestions.


Funded by an Aim High Summer Research Grant in the Gordon Ford College of Business, Western Kentucky University.

Author information

Authors and Affiliations



Both authors contributed to the conception, design, and interpretation of findings for this article. This submission has been read and approved by both authors.

Corresponding author

Correspondence to Claudia W. Strow.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors have no competing interests with this research.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Strow, C.W., Strow, B.K. Seasonal differences in breastfeeding in the United States: a secondary analysis of longitudinal survey data. Int Breastfeed J 17, 51 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: