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© 2001 The American Society for Nutritional Sciences J. Nutr. 131:3021S-3024S, November 2001


Symposium: Human Lactogenesis II: Mechanisms, Determinants and Consequences

Validity and Public Health Implications of Maternal Perception of the Onset of Lactation: An International Analytical Overview1 ,2

Rafael Pérez-Escamilla3 and Donna J. Chapman

Department of Nutritional Sciences, University of Connecticut, Storrs CT 06269-4017

3To whom correspondence should be addressed. E-mail: rperez{at}canr.uconn.edu


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 CONCLUSIONS
 LITERATURE CITED
 
The main objective of this analytical overview is to assess the validity of maternal perception of the onset of lactation (OL) as an indicator of lactogenesis stage II (LS-II). Prospective studies that assessed OL and/or LS-II [based on test-weighing milk volume (MV) and/or breast milk biomarkers (BMB)] were identified. OL is a clearly defined and easily identified event across cultures, with the overwhelming majority of women being able to report when they experience it. Mean OL ranges from 50 to 73 h postpartum across studies and from 1 to 148 h postpartum within studies. The wide range detected within samples is fully consistent with the wide within sample LS-II variability as determined by BMB or MV. Studies have identified similar risk factors for delayed LS-II, such as labor and delivery stress, primiparity and insulin-dependent diabetes mellitus, regardless of marker used (i.e., OL, MV or BMB). The correlation between OL and MV (r = -0.60) is of similar magnitude to that between OL and BMB (r = 0.50) and that between BMB and MV (r = 0.47–0.69). In conclusion, OL is a valid clinical indicator of LS-II. This has public health relevance because studies have identified delayed OL (i.e., >72 h postpartum) as a risk factor for shorter breastfeeding duration and for greater infant weight loss by d 3 postpartum. Multidisciplinary studies are needed to standardize the definition of OL and to confirm its validity in different sociocultural contexts.


KEY WORDS: • breastfeeding • lactogenesis stage II • perceived onset of lactation • validity


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 CONCLUSIONS
 LITERATURE CITED
 
Lactogenesis stage II (LS-II)4 represents a major infant feeding event because it is the point in time at which the mammary gland begins producing copious amounts of milk (1Citation , 2Citation ). The gold standard for measuring LS-II is test weighing the newborn before and after each feeding to measure milk intake and to determine the point in time at which there is a sudden increase in the slope of the milk volume (MV) curve (1Citation , 2Citation ). Some researchers have used breast milk biomarkers (BMB), such as citrate and lactose, to determine when LS-II occurs (3Citation ). Researchers have also used maternal perception of the onset of lactation (OL) as a proxy for LS-II (4Citation ). This is an attractive low cost method for public health purposes because it is noninvasive and quick. Furthermore, it is based on the sensations of a mother that may influence infant-feeding decisions. There are, however, a number of questions that need to be addressed regarding the validity and public health meaning of OL. Thus, the objectives of this article were to answer the following questions: 1) Is OL a valid proxy of LS-II?, 2) When does OL occur?, 3) What cues do women use to identify OL?, 4) What MV is transferred to the infant when women report OL?, 5) Can women recall the timing of OL when interviewed months after delivery?, and 6) What are the public health implications of delayed OL?


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 CONCLUSIONS
 LITERATURE CITED
 
Prospective studies were identified through a MEDLINE search, the authors’ personal files and personal contact with researchers in the field (3Citation –15Citation ) (Hilson, J. and Rasmussen, K., personal communication). The key words used for the MEDLINE search were: human lactogenesis, OL and MV with or without including specific researchers’ last names. Studies were included if they: assessed OL and/or determined LS-II based on milk transfer and/or BMB.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 CONCLUSIONS
 LITERATURE CITED
 
Is OL a valid proxy of LS-II?

BMB (3Citation , 8Citation ) and MV (11Citation ) studies indicate that OL occurs 12–24 h after LS-II has begun. Thus, researchers have concluded that OL may not be a valid indicator of LS-II (3Citation ). This reasoning, however, can be questioned on two fronts. First, if women tend to systematically report OL later than LS-II, then OL may be a useful marker for LS-II. Second, women are more likely to make infant-feeding decisions based on their perceptions and not on imperceptible changes in BMB or MV.

Prospective studies assessing risk factors for delayed LS-II that have used multiple markers of LS-II including OL have shown a remarkable consistency in the conclusions reached regardless of marker used. A study conducted in Australia (3Citation ) found a significant delay in LS-II associated with insulin-dependent diabetes mellitus (IDDM) when BMB or OL was used. This delay was 19 h based on the end of the lactose transitional period, 12 h based on the end of the citrate transitional period, 7 h based on the beginning of the citrate transitional period, and 26 h based on OL. The correlation coefficients between MV and BMBs ranged from 0.47 to 0.69 (P < 0.001). Likewise, a Connecticut study (9Citation ) found that women with IDDM had an OL delay of 23.8 h (P < 0.05), compared with a reference group who delivered vaginally. The difference in OL between IDDM women and the control group matched for Cesarean section deliveries was of 6 h (P > 0.05). These differences were 15.1 and 5.0 h, respectively, defining LS-II as the point at which the milk lactose and total nitrogen concentration curves intersected (8Citation ). MV results were fully consistent with BMB and OL, and the correlation between MV and breast milk lactose concentration at d 7 postpartum was r = 0.57–0.68 (8Citation ).

In agreement with the study by Ferris et al. (9Citation ), several (5Citation , 6Citation , 12Citation ), but not all (10Citation , 16Citation ), studies have identified Cesarean sections as a significant risk factor delaying OL from 7 to 24 h. A recent study by Chapman and Pérez-Escamilla (5Citation ) may explain inconsistencies across studies because it found that emergency but not scheduled Cesarean sections were a risk factor for delayed OL, compared with vaginal deliveries.

A study in Davis, California (7Citation ) found, among women delivering vaginally, that primiparous women had an OL 35 h later than their multiparous counterparts. Consistent with this finding, infants from primiparous women consumed 194 mL less breast milk at d 5 postpartum. Milk casein and lactose appearance followed the same pattern of association, suggesting delayed LS-II among primiparous women, but differences did not reach statistical significance. Prospective studies conducted in the United States (5Citation , 6Citation ) (Hilson, J. and Rasmussen, K., personal communication) also found significant (P < 0.05) 10- to 14-h delays in OL associated with primiparity (Table 1Citation ).


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Table 1. Prospective studies examining the association between parity and the onset of lactation

 
Chen et al. (7Citation ) identified maternal exhaustion soon after delivery as a risk factor for delayed lactogenesis regardless of marker used: OL, MV or BMB. Correlation coefficients of four stress indicators (umbilical cord cortisol and glucose concentration, duration of second stage of labor and maternal exhaustion soon after delivery) with OL (r = 0.37–0.63) were of similar magnitude as those with MV (r = -0.37 to -0.44) or breast milk casein appearance (r = 0.35–0.65). Furthermore, the correlation between breast milk consumption at d 5 and OL was r = -0.60, and between casein appearance and OL was r = 0.49 (P < 0.0001 in both instances). In full agreement with these stress findings, Chapman and Pérez-Escamilla (5Citation ) found that the association between primiparity and delayed OL was explained by a longer duration of labor among primiparous than among multiparous women. Furthermore, vaginal deliveries with longer stage 2 labor duration and women with emergency, but not scheduled, Cesarean sections were at significantly higher risk of experiencing a delayed OL than women who had vaginal deliveries with relatively short durations of the second stage of labor. In Guatemala (16Citation ), multiparous women without delayed OL (i.e., <=72 h postpartum) had significantly lower salivary cortisol concentrations than those with a delayed OL (0.668 ± 0.556 µg/dL vs. 0.859 ± 0.505 µg/dL; P = 0.001).

Chapman and Pérez-Escamilla (4Citation ) recently tested the validity of OL as a proxy of LS-II as determined by test weighing the infant. They compared risk factor for delayed LS-II when using MV vs. OL. MV was assessed by test weighing three times daily (0842 h ± 1:02, 1321 h ± 1:55 and 1846 h ± 1:02) until women reported OL. Because continuous 24-h test weights were not conducted, individual predictive curves were generated using a second-order polynomial fit. Predicted MV was very accurate, compared with empirical data. LS-II was considered delayed if the predicted MV at 60 h postpartum was < 9.2 g/feed and OL was defined as delayed if OL >= 72 h postpartum. The directionality and magnitude of the logistic regression coefficients was remarkably consistent. Of the four risk factors identified for low MV (first BF > 105 min postpartum, MV at 30 h postpartum, and the interactions between obesity and breastfeeding frequency and between parity and pumping), two were identified as significant (first BF > 105 min postpartum, interaction between parity and pumping), and the two remaining as marginally significant when OL was used as outcome. The OL regression identified two risk factors as significant, which were insignificant in the MV regression: emergency Cesarean section and lower birth weight. Misclassification analysis conducted with these data showed that OL has a good degree of specificity, sensitivity, positive and negative predictive value, compared with MV as a tool to identify individuals at risk of a delayed LS-II (4Citation ).

A number of studies that have included OL as the only marker of lactogenesis have also consistently identified additional risk factors for delayed OL. For example, studies in Indonesia (17Citation ), Mexico (18Citation ), Honduras (19Citation ) and the United States (5Citation ) have shown that conditions that limit infant sucking, such as lack of rooming-in (17Citation , 18Citation ), prelacteal use (19Citation ), or exclusive formula feeding (5Citation ), are associated with delayed OL. Likewise, three independent studies from the United States (5Citation , 20Citation , 21Citation ) identified maternal obesity as a risk factor for delayed OL.

When does OL occur?

The overwhelming majority of women participating in prospective studies have been able to report when they experienced OL (3Citation , 5Citation , 12Citation , 16Citation , 21Citation ). International studies have produced estimates of mean OL time ranging from 50 to 73 h across studies (4Citation –7Citation , 10Citation ) and from 1 to 148 h within studies (3Citation , 5Citation , 6Citation , 10Citation ) (Hilson, J. and Rasmussen, K., personal communication). The wide range for OL detected within samples is fully consistent with the wide within sample LS-II variability as determined by BMB or MV (1Citation –3Citation ). Research studies conducted in a variety of social and cultural settings suggest that ~25% of women experience delayed OL (i.e., > 72 h after delivery) (14Citation , 16Citation ) (Hilson, J. and Rasmussen, K., personal communication) and have identified risk factors for delayed OL consistent with what is found when OL is expressed as a continuous variable.

The initiation of LS-II as determined by BMB occurs between 24 and 48 h postpartum and plateaus at ~60–84 h postpartum (1Citation –3Citation ). Likewise, MV data indicate that among U.S. multiparous women, a significant increase in milk production starts at 36 h postpartum and levels off at 96 h postpartum (11Citation ).

What MV is transferred to the infant when women report OL?

Chapman et al. (15Citation ) measured MV in a randomized trial in Hartford, Connecticut designed to find out whether breast pumping affects the timing of LS-II among women delivering by Cesarean section. They compared the amount of milk consumed by the newborn between women who perceive OL before 72 h (n = 26) with those who perceived it >= 72 h (n = 18). Subjects were included in the analyses only if they had a MV measurement within 6 h after OL. The volume consumed at OL was 19.4 ± 12.3 mL and was similar among those perceiving OL < 72 h (18.7 ± 10.1 mL) vs. >= 72 h (20.4 ± 15.2 mL) (22Citation ).

What cues do women use to identify OL?

Chapman and Pérez-Escamilla recently pooled data from two prospective studies in Hartford, Connecticut (4Citation , 5Citation ) to identify the cues that women use to report OL, using factor analysis (23Citation ). All subjects were interviewed daily until OL was reported. When subjects reported OL, they were then asked: "How did you know that your milk came in?" OL symptoms reported by at least 4% of the sample were entered into the factor analysis, which identified the following six components with an Eigen value > 1.0 explaining 62.8% of the total variance in symptoms: 1) breast swelling, 2) milk leakage, 3) milk physical appearance, 4) infant cues, 5) breast fullness and 6) breast tingling.

Can women recall when OL occurred when interviewed months after delivery?

OL has also been assessed in retrospective studies (19Citation ). A longitudinal study from the United States (5Citation ) was used to compare actual and recalled timing of OL (24Citation ). All 192 women were interviewed from d 1 postpartum until they reported OL, which was corroborated against typical symptoms. Of the original sample, 146 women were available for telephone follow-up at 6.7 ± 1.5 mo postpartum. Misclassification analyses indicated that of the 48 women who experienced delayed OL (i.e., > 72 h postpartum), 45 were correctly identified at follow-up (i.e., Sensitivity = 93.8%). Fifty-one of the 81 women who experienced an early OL were correctly identified with the recalled data (Specificity = 63.0%).

What are the public health implications of delayed OL?

Retrospective (19Citation ) and longitudinal studies (4Citation , 18Citation , 25Citation ) identified delayed OL as a risk factor for shorter breastfeeding durations. In Hartford, Connecticut, two independent studies found that this relationship occurred among women who originally planned to breastfeed >= 6 mo but not among their counterparts who were planning to breastfeed < 6 mo (4Citation , 25Citation ). It has been well established that early introduction of infant formula (i.e., first days after delivery) is a potent risk factor for the early termination of breastfeeding (2Citation ) even after controlling for original maternal breastfeeding intentions (18Citation ).

Dewey et al. (14Citation ) found that whereas 35% of infants born to women with an OL > 72 h postpartum had a weight loss > 10% of birth weight by d 3 postpartum, this was the case only for 6% of newborns whose mothers had an earlier OL.


    CONCLUSIONS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 CONCLUSIONS
 LITERATURE CITED
 
Several lines of evidence indicate that OL is a valid clinical indicator of LS-II. First, OL seems to be a clearly defined and easily identified event by women across cultures, and women report cues for OL that are fully consistent with OL. Women can report, prospectively and retrospectively, when OL occurs with a reasonable degree of sensitivity and specificity. Second, the strength of the correlation between OL with MV and BMB is of similar magnitude as that between these two biophysiological LS-II markers. Third, prospective studies show that risk factors for a delayed LS-II are similar whether OL or biophysiological markers are used. Fourth, women with delayed OL seem to have a lower level of milk output and their infants lose more weight during the immediate postpartum period. It is unknown, however, whether this relationship persists after the first days after birth. OL seems to be a robust biobehavioral indicator, because women can report whether they had delayed OL when interviewed several months after delivery with a reasonable degree of sensitivity and specificity. These results are encouraging for public health studies, because OL seems to have important infant-feeding implications and can be assessed noninvasively and quickly.

The wide range for OL detected within studies is fully consistent with the wide within sample LS-II variability as determined by BMB or infant breast milk consumption, indicating a high level of biological LS-II variability among individuals. As expected, OL is perceived when BMB and MV markers increase enough to be physically perceptible and perhaps when a minimum MV threshold is reached.

Mechanistic studies seeking to further understand the biological determinants of the timing of LS-II should always use the most accurate methods available. It is important, however, to recognize the limitations from MV and BMB data. First, LS-II studies based on infant test weighing actually measure infant breast milk intake and not MV produced by the mammary gland. Second, although aggregate data may allow for assessing the point at which the slope of the MV or BMB curve starts to sharply increase, this is often not possible to determine for individual subjects (3Citation , 4Citation ). Third, we do not have a clear definition of LS-II based on BMB. A variety of BMBs have been used to assess LS-II, with the result being specific to the BMB selected. Furthermore, the usefulness of the same BMB as a marker of LS-II varies across studies [e.g., lactose (3Citation , 7Citation )].

Studies have used different approaches to define OL, including maternal report of breast fullness (7Citation , 14Citation ) and maternal report of milk "coming in" (4Citation , 5Citation , 16Citation ) (Hilson, J. and Rasmussen, K., personal communication). In some studies, the assessment of OL is not fully explained (3Citation , 6Citation , 9Citation , 10Citation , 12Citation , 13Citation ). Furthermore, women in different cultures use different term(s) to refer to the OL phenomenon. Thus, multidisciplinary research is needed to further refine the definition of OL and to standardize it across studies.


    FOOTNOTES
 
1 Presented as part of the symposium "Human Lactogenesis II: Mechanisms, Determinants and Consequences" given at the Experimental Biology 2001 meeting, Orlando, FL on April 2, 2001. This symposium was sponsored by the American Society for Nutritional Sciences and was supported by educational grants from Medela, Ross Laboratories and Wyeth Nutrition International. Guest editors for this symposium publication were Nancy F. Butte, Baylor College of Medicine, Houston, TX and Rafael Perez-Escamilla, University of Connecticut, Storrs, CT. Back

2 This is contribution # 2027 from the Storrs Agricultural Experiment Station. Back

4 Abbreviations used: BMB, breast milk biomarker; IDDM, insulin-dependent diabetes mellitus; LS-II, lactogenesis stage II; MV, breast milk volume; OL, onset of lactation. Back


    LITERATURE CITED
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 CONCLUSIONS
 LITERATURE CITED
 

1. Neville, M. C., Morton, J. & Umemura, S. (2001) Lactogenesis: the transition from pregnancy to lactation. Pediatr. Clin. North Am. 48:35-52.[Medline]

2. Chapman, D. J. & Perez-Escamilla, R. (2000) Lactogenesis stage II: hormonal regulation, determinants and public health consequences. Recent Res. Dev. Nutr. 3:43-63.

3. Arthur, P. G., Smith, M. & Hartmann, P. E. (1989) Milk lactose, citrate, and glucose as markers of lactogenesis in normal and diabetic women. J. Pediatr. Gastroenterol. Nutr. 9:488-496.[Medline]

4. Chapman, D. J. & Perez-Escamilla, R. (2000) Maternal perception of the onset of lactation is a valid, public health indicator of lactogenesis stage II. J. Nutr. 130:2972-2980.[Abstract/Free Full Text]

5. Chapman, D. J. & Perez-Escamilla, R. (1999) Identification of risk factors for delayed onset of lactation. J. Am. Diet. Assoc. 99:450-454.[Medline]

6. Hildebrandt, H. M. (1999) Maternal perception of lactogenesis time: a clinical report. J. Hum. Lact. 15:317-323.[Abstract/Free Full Text]

7. Chen, D. C., Nommsen-Rivers, L., Dewey, K. G. & Lonnerdal, B. (1998) Stress during labor and delivery and early lactation performance. Am. J. Clin. Nutr. 68:335-344.[Abstract]

8. Neubauer, S. H., Ferris, A. M., Chase, C. G., Fanelli, J., Thompson, C. A., Lammi-Keefe, C. J., Clark, R. M., Jensen, R. G., Bendel, R. B. & Green, K. W. (1993) Delayed lactogenesis in women with insulin-dependent diabetes mellitus. Am. J. Clin. Nutr. 58:54-60.[Abstract/Free Full Text]

9. Ferris, A. M., Neubauer, S. H., Bendel, R. B., Green, K. W., Ingardia, C. J. & Reece, E. A. (1993) Perinatal lactation protocol and outcome in mothers with and without insulin-dependent diabetes mellitus. Am. J. Clin. Nutr. 58:43-48.[Abstract/Free Full Text]

10. Kulski, J. K., Smith, M. & Hartmann, P. E. (1981) Normal and caesarian section delivery and the initiation of lactation in women. Aust. J. Exp. Biol. Med. Sci. 59:405-412.[Medline]

11. Neville, M. C., Keller, R., Seacat, J., Lutes, V., Neifert, M., Casey, C., Allen, J. & Archer, P. (1988) Studies in human lactation: milk volumes in lactating women during the onset of lactation and full lactation. Am. J. Clin. Nutr. 48:1375-1386.[Abstract/Free Full Text]

12. Vestermark, V., Hogdall, C. K., Birch, M., Plenov, G. & Toftager-Larsen, K. (1991) Influence of the mode of delivery on initiation of breast-feeding. Eur. J. Obstet. Gynecol. Reprod. Biol. 38:33-38.[Medline]

13. Schutzman, D. L., Hervada, A. R. & Branca, P. A. (1986) Effect of water supplementation of full-term newborns on arrival of milk in the nursing mother. Clin. Pediatr. 25:78-80.

14. Dewey, K. G., Nommsen-Rivers, L. A., Heinig, M. J. & Cohen, R. (2001) Lactogenesis and infant birth weight change in the first week of life. Davis, M. K. Isaacs, C. E. Hansen, L. A. Wright, A. eds. Integrating Population Outcomes, Biological Mechanisms, and Research Methods in the Study of Human milk and Lactation 2001 Kluwer Academic Plenum Publishers, New York, NY. (in press). .

15. Chapman, D. J., Young, S., Ferris, A. M. & Perez-Escamilla, R. (2001) Impact of breast pumping on lactogenesis stage II after cesarean delivery: a randomized clinical trial. Pediatrics (URL: http://www.pediatrics.org/cgi/content/full/107/6/e94) 107:E94.

16. Grajeda, R. (2001) The influence of stress during labor and delivery on the onset of lactation 2001 Department of Nutritional Sciences University of Connecticut, Storrs, CT. .

17. Mapata, S., Djauhariah, A. & Dasril, D. (1988) A study comparing rooming-in with separate nursing. Paediatr. Indones. 28:116-123.[Medline]

18. Pérez-Escamilla, R., Segura-Millan, S., Pollitt, E. & Dewey, K. G. (1993) Determinants of lactation performance across time in an urban population from Mexico. Soc. Sci. Med. 37:1069-1078.

19. Perez-Escamilla, R., Segura-Millan, S., Canahuati, J. & Allen, H. (1996) Prelacteal feeds are negatively associated with breast-feeding outcomes in Honduras. J. Nutr. 126:2765-2773.

20. Ferris, A. M., McCabe, L. T., Allen, L. H. & Pelto, G. H. (1987) Biological and sociocultural determinants of successful lactation among women in eastern Connecticut. J. Am. Diet. Assoc. 87:316-321.[Medline]

21. Rasmussen, K., Hilson, J. A. & Kjolhede, C. L. (2001) Obesity as a risk factor for failure to initiate and sustain lactation. Davis, M. K. Isaacs, C. E. Hanson, L. A. Wright, A. eds. Integrating Population Outcomes, Biological Mechanisms, and Research Methods in the Study of Human Milk and Lactation 2001 Kluwer Academic Plenum Publishers, New York, NY. (in press). .

22. Chapman, D. J. & Pérez-Escamilla, R. (2001) Milk transfer volume at the time of maternal perception of the onset of lactation. FASEB J 15:A1005.

23. Chapman, D. J. & Pérez-Escamilla, R. (2000) What cues do women use to identify the onset of lactation?. FASEB J 14:A508.

24. Pérez-Escamilla, R. & Chapman, D. (2001) Can women remember when their milk came in?. Newburg, D. eds. Bioactive Components of Human Milk 2001 Plenum Publishers New York, NY. pp 507–512. .

25. Chapman, D. J. & Pérez-Escamilla, R. (1999) Does delayed perception of the onset of lactation shorten breastfeeding duration?. J. Hum. Lact. 15:107-111.[Abstract/Free Full Text]




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