Literature DB >> 21270187

Breastfeeding in women with type 1 diabetes: exploration of predictive factors.

Carina Sparud-Lundin1, Margareta Wennergren, Anders Elfvin, Marie Berg.   

Abstract

OBJECTIVE: To identify predictive factors for initiation and maintenance of breastfeeding with a focus on mothers with type 1 diabetes. RESEARCH DESIGN AND METHODS: This is a prospective observation survey, using a case-control design, comparing the outcomes of 108 mothers with type 1 diabetes with 104 mothers without diabetes that were matched for parity and gestational age. Mother and infant outcomes were collected from medical records and through telephone interviews 2 and 6 months after delivery. Predictive factors were calculated by logistic regression analyses.
RESULTS: Mothers with diabetes were less likely to partly or exclusively breastfeed their children at 2 months (OR 0.42 [95% CI 0.18-0.96], P = 0.041) and 6 months (0.50 [0.27-0.90], P = 0.022) than mothers without diabetes. On multivariable analysis, type 1 diabetes did not remain an independent predictive factor. Instead, higher education level and breastfeeding at discharge from hospital were predictive factors for breastfeeding at 2 months postpartum. These variables as well as delivery >37 weeks and early breastfeeding predicted breastfeeding 6 months postpartum.
CONCLUSIONS: Factors associated with maternal diabetes, such as problems with establishing breastfeeding in the early postpartum period, affects the likelihood of long-term breastfeeding.

Entities:  

Mesh:

Year:  2011        PMID: 21270187      PMCID: PMC3024337          DOI: 10.2337/dc10-1916

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


The benefits of breastfeeding are numerous for both mothers and infants (1), and with increased duration and exclusivity, the benefits are enhanced for infants (2). Therefore, exclusive breastfeeding duration for at least 4 months, preferably 6 months, is a global recommendation (3). For infants of mothers with type 1 diabetes, the advantages of longer breastfeeding are probably even greater (4,5). However, initiation of breastfeeding for mothers with diabetes often implies a challenge. This is due to increased occurrence of complicated pregnancy and labor, caesarean section, and instrumented vaginal deliveries (6) and neonatal morbidity, including growth deviations, congenital malformations, prematurity, and respiratory distress (7,8). Neonatal hypoglycemia may also complicate the postpartum feeding regimen. This is related to fetal intrauterine hyperglycemia and hyperinsulinism as a response to maternal hyperglycemia (9). Furthermore early mother-child separation can further hinder breastfeeding (10). The lactation process is shown to be delayed in mothers with diabetes (11), and their infants have a more immature sucking pattern (12). Early initiation of breastfeeding can reduce neonatal borderline hypoglycemia and increase the mean level of blood glucose level (13). Research on breastfeeding in women with type 1 diabetes is inconsistent; some studies show the initiation and duration of breastfeeding to be comparable with those of background populations (11,14). Conversely, other studies report that they were less likely to initiate breastfeed, and if they did initiate, it was for a shorter time than mothers without diabetes (12,15). BMI and socioeconomic status have been identified as predictors for their breastfeeding duration (16). A recently conducted multicenter study found that more than 90% of mothers with type 1 diabetes breastfeed initially. However, the breastfeeding rates declined more steeply among these mothers. This was explained by an increased frequency of caesarean sections, delivery at earlier gestational age, lower maternal age, and education level (17). In summary, there are contradictory results concerning the initiation and sustainability of breastfeeding in women with type 1 diabetes. It is still unknown whether it is maternal diabetes or other maternal and neonatal factors that affect the likelihood of breastfeeding. The aim of this study was therefore to identify predictive factors for initiation and maintenance of breastfeeding with a focus on mothers with type 1 diabetes.

RESEARCH DESIGN AND METHODS

A prospective observational survey with a case control design was used to compare breastfeeding outcomes of mothers with type 1 diabetes with mothers without diabetes. Mothers with type 1 diabetes (DG) were asked to participate after childbirth at four hospitals in Sweden, including one University hospital (during 2007–2009) and three rural hospitals (during 2008–2009) with a total of about 16,000 deliveries annually. The study was approved by The Regional Ethics Board (Dnr: 351-07). Mothers provided written informed consent prior to participation. For every included woman with type 1 diabetes, the next childbearing woman in the same gestational week and parity (primi- or multiparity) was approached for participation. Exclusion criteria for the reference group (RG) were type 1 diabetes, type 2 diabetes, or gestational diabetes. All participants had to understand and speak Swedish. To prevent neonatal hypoglycemia, DG infants were provided early feeding with either the mother’s breast milk or formula milk and were fed every 3–4 h during the first 2–3 days of life. Mothers whose infants received formula feeding were encouraged to breastfeed before every feeding session, if possible. Infants of DG mothers had their blood glucose measured within 2 h after delivery, before every feeding the first 12 h, and then with decreasing frequency depending on the occurrence of hypoglycemia. Data on obstetrical and neonatal outcomes and health care consumption were collected from medical records. Maternal outcomes included the incidence of preeclampsia, interventions related to risk of fetal asphyxia, hemorrhage, and length of stay in maternal/neonatal care. Neonatal outcomes included hypoglycemia, defined as plasma glucose <2.2 mmol/L and categorized as more severe hypoglycemia (i.e., lasting for >6 h postpartum) or mild hypoglycemia (i.e., lasting <6 h), and prematurity (<37 gestational weeks). Other neonatal outcomes included congenital malformation, respiratory distress implying need of observation and/or medical treatment in neonatal care, antibiotic treatment, and feeding problems. Further data were collected through telephone interviews with the mothers 2 and 6 months after childbirth. The interviews followed a structured questionnaire including questions on sociodemographic factors and breastfeeding pattern. Exclusive breastfeeding was defined as no supplementation of formula milk, and partial breastfeeding was defined as a combination of breastfeeding and formula feeding or exclusively formula feeding, thus allowing for introduction of introductory portions of food. A pilot test was conducted in 20 women for face validity of the questionnaire after which there were minor changes made. General well-being was measured by using the Psychological Health and Well-Being Index (PGWB) (18,19). This tool includes 22 items in the following six dimensions: anxiety, depressed mood, positive well-being, self-control, general health, and vitality. The score range is 0–110, and responses are rated on a 6-point Likert scale where 0 reflects the most distress and 5 reflects the highest level of well-being (18).

Data analysis

Analyses were conducted using the SPSS software, version 16.0 (Chicago, IL), and SAS, version 9.2 (Cary, NC). When reporting descriptive statistics, mean, standard deviation (SD), median, and range (min–max) were used for continuous variables and n (%) was used for categorical and dichotomous variables. For comparisons between two groups, Fisher exact test was used for dichotomous categorical variables, Pearson χ2 test was used for non-ordered categorical variables, and Mann Whitney U test was used for continuous variables. Exploration of predictive factors for breastfeeding at 2 and 6 months was conducted by bivariate logistic regression analyses. Variables showing significant association with breastfeeding were entered into a stepwise multiple logistic regression model with partly or exclusive breastfeeding (yes/no) as the dependent variable. The accuracy of the selected model from the logistic procedure was evaluated with the area under the receiver operating characteristic (ROC) curve. The probability for breastfeeding at 6 months was calculated for different scenarios of the predictors as elc/(1 + elc), where lc is the linear combination of the significant independent predictors obtained from the stepwise logistic regression analyses. All tests were two-tailed and conducted at 5% significance level.

RESULTS

Study group characteristics

Of 128 potential participants, a total of 108 women with type 1 diabetes (84%) entered the study; 82 women participated from the university hospital, and 26 women participated from the other hospitals. DG women who declined to participate or were lost for inclusion did not differ from the included women with diabetes regarding age, gestational week, and mode of delivery, or birth weight. A total of 104 RG women participated in interviews at 2 months postpartum, and 99 women participated in interviews at 6 months postpartum. Fifty-three percent of participants were first-time mothers. There were no differences in sociodemographic factors between the two groups (Table 1). Two mothers at 2 months and four mothers at 6 months postpartum were working or studying outside the home; all of the others were on maternity leave. Mean age for diabetes onset was 15.5 years (SD 8.27, range 2–38); 76% used an insulin pen, and 24% used an insulin pump.
Table 1

Demographics and birth outcomes for women in the diabetic (DG) and reference (RG) groups

Demographics and birth outcomesType 1 diabetic mothers (DG)Reference mothers (RG)P for DG vs. RG
n108104
Age
 Mean (SD)31.2 (4.8)31.1 (5.14)
 Median (range)31 (22–41)32 (19–45)0.880
Educational level0.930
 University60 (56.1)60 (58.3)
 Secondary school47 (39.3)39 (37.9)
 Primary school5 (4.7)4 (3.9)
Parity (primpara)58 (53.2)57 (54.3)
Induction66 (60.6)31 (29.5)<0.001§
Gestational age (week)
 Mean (SD)37.9 (1.9)38.0 (1.7)
 Median (range)38 (30–41)38 (32–41)0.893†
Mode of delivery*<0.001
 Vaginal47 (43.1)78 (74.3)
 Instrumental10 (9.2)8 (7.6)
 Elective caesarean19 (17.4)9 (8.6)
 Emergency caesarean33 (30.3)10 (9.5)
Hours in maternity care
 Mean (SD)94.6 (39.4)63.8 (38.0)
 Median (range)84 (28–107)52 (7–213)<0.001
Separation mother/child<0.001
 Exclusively cocare59 (55.0)88 (84.6)
 Partly separated37 (34.3)7 (6.7)
 Exclusively separated12 (11.0)9 (8.7)

Data are n (%) unless otherwise indicated.

*One mother in each group had twins.

†Mann-Whitney U test,

‡Pearson χ2 test,

§Fisher exact test.

Demographics and birth outcomes for women in the diabetic (DG) and reference (RG) groups Data are n (%) unless otherwise indicated. *One mother in each group had twins. †Mann-Whitney U test, ‡Pearson χ2 test, §Fisher exact test.

Maternal and newborn outcomes

DG women showed a higher frequency of complications or interventions in relation to birth outcomes compared with RG women (Table 1 and 2). DG newborns were more likely to develop hypoglycemia and require intravenous glucose treatment, despite supplemental feeding (Table 2). The lowest mean plasma glucose level in the DG neonates within the first 24 h was 2.05 mmol/L (SD 0.93, range 0.1–4.7).
Table 2

Neonatal outcome, care, and breastfeeding of infants of women in the diabetic (DG) and reference (RG) groups

Birth outcomesInfants of type 1 diabetic mothers (DG)Infants of reference mothers (RG)P for DG vs. RG
n109*105*
Apgar score <7 at 5 min4 (3.8)1 (1.0)0.369
Birth weight (g) mean (SD)3,862 (680)3,256 (508)<0.001
Supplemental feeding
 Day 198 (89.9)34 (32.4)<0.001
 Day 2105 (96.3)31 (29.5)<0.001
 Day 384 (77.1)31 (29.5)<0.001
Neonatal morbidity**35 (32.1)12 (11.4)<0.001
Neonatal hypoglycemia <2.2<0.001§
 >6 h33 (30.3)1 (1.0)
 Transitory (<6 h)25 (22.9)1 (1.0)
 No51 (46.8)103 (98.1)
Neonatal care49 (45.0)13 (12.4)<0.001
Glucose i.v.34 (31.2)2 (1.9)<0.001
Breastfed
 2 months postpartum88 (80.7)95 (91.3)***0.045
  Exclusively72 (80.0)82 (86.3)0.325
 6 months postpartum67 (61.5)79 (76.7)***0.025
  Exclusively28 (44.4)30 (40.5)0.729

Data are n (%) unless otherwise indicated.

*One mother in each group had twins.

**Hypoglycemia excluded, reported separately; prematurity excluded due to matched control subjects.

***To be compared with national statistics on breastfeeding (Sweden, infants born 2008); 2 months, 88.9% and 6 months, 66.5% (The National Board of Health and Welfare).

†Mann-Whitney U test,

‡Fisher exact test,

§Pearson χ2 test.

Neonatal outcome, care, and breastfeeding of infants of women in the diabetic (DG) and reference (RG) groups Data are n (%) unless otherwise indicated. *One mother in each group had twins. **Hypoglycemia excluded, reported separately; prematurity excluded due to matched control subjects. ***To be compared with national statistics on breastfeeding (Sweden, infants born 2008); 2 months, 88.9% and 6 months, 66.5% (The National Board of Health and Welfare). †Mann-Whitney U test, ‡Fisher exact test, §Pearson χ2 test.

Comparison of breastfeeding pattern

Breastfeeding within 2 h after birth was reported by 55% of DG women and 87% of RG women (P < 0.001). Reasons for not breastfeeding early in the DG mothers included mothers’ own health (30%), infants’ condition (11%), or both (5%). At the time of discharge from maternity or neonatal care, 55% of DG women breastfed compared with 76% of RG women (P = 0.003). DG infants were less likely to be breastfeeding at 2 and 6 months of age than RG infants (Table 2). No differences regarding exclusive breastfeeding were found between the two groups.

Predictive factors for breastfeeding

In the bivariate analyses, maternal diabetes, educational level, delivery mode, gestational age, early breastfeeding, and breastfeeding at discharge were associated with breastfeeding at 2 and 6 month postpartum, as well as maternal complications or interventions at 6 months (Table 3). PGWB measured 2 months after childbirth was examined and showed a mean total score of 82.8 (SD 12.4, median 84, range 44–104), and identifying a potential predictive factor for breastfeeding at 6 months postpartum (OR 1.03 [95% CI 1.01–1.05], P = 0.019).
Table 3

Potential predictors of breastfeeding at 2 and 6 months: bivariate analysis

Predictive factorsBreastfeeding at 2 months postpartum
Breastfeeding at 6 months postpartum
n (%)OR (95% CI)Pn (%)OR (95% CI)P
Educational level
 Low70 (77.8)1.047 (42.8)1.0
 High111 (92.5)3.52 (1.52–8.18)0.00397 (80.8)3.77 (2.04–6.98)<0.001
Maternal diabetes
 None95 (91.3)1.079 (76.7)1.0
 Type 1 diabetes88 (81.5)0.42 (0.18–0.96)0.04167 (62.0)0.50 (0.27–0.90)0.022
Parity
 Primiparous98 (85.2)1.083 (72.2)1.0
 Multiparous85 (87.6)1.23 (0.56–2.72)0.61163 (65.6)0.74 (0.41–1.32)0.306
Delivery mode
 Vaginal127 (90.1)1.0107 (76.4)1.0
 Caesarean56 (78.9)0.41 (0.19–0.91)0.02839 (54.9)0.38 (0.20–0.69)0.002
Maternal complications*
 No124 (89.2)1.0102 (73.9)1.0
 Yes59 (80.8)0.51 (0.23–1.13)0.09544 (60.3)0.54 (0.29–0.98)0.043
Neonatal morbidity**
 No142 (86.1)1.0116 (70.3)1.0
 Yes41 (87.2)1.11 (0.42–2.90)0.83630 (65.2)0.79 (0.40–1.58)0.509
Neonatal hypoglycemia**
 No132 (86.8)1.0102 (67.5)1.0
 Yes51 (85.0)0.86 (0.37–2.01)0.72544 (73.3)1.32 (0.68–2.57)0.412
Gestational age (weeks)
 >37153 (89.0)1.0125 (72.7)1.0
 <3730 (75.0)0.37 (0.16–0.88)0.02421 (53.8)0.44 (0.22–0.90)0.024
Early breastfeeding (<2h)
 Yes130 (89.7)1.0111 (77.1)1.0
 No51 (78.5)0.42 (0.19–0.93)0.03333 (50.8)0.31 (0.17–0.57)<0.001
Breastfeeding at discharge
 Yes128 (91.4)1.0110 (78.6)1.0
 No46 (73.0)0.25 (0.11–0.57)0.00130 (48.4)0.27 (0.14–0.49)<0.001

*Including preeclampsia, interventions related to risk of fetal asphyxia, and hemorrhage.

**Other than neonatal hypoglycemia and prematurity.

Potential predictors of breastfeeding at 2 and 6 months: bivariate analysis *Including preeclampsia, interventions related to risk of fetal asphyxia, and hemorrhage. **Other than neonatal hypoglycemia and prematurity. Only higher education level and breastfeeding at discharge from the hospital remained independent predictive factors for breastfeeding at 2 months postpartum. The area under the ROC curve for this model was 0.73. Independent predictive factors for breastfeeding at 6 months were higher education level, prematurity, early breastfeeding, and breastfeeding at discharge with an area under the ROC curve of 0.80 (Table 4). This model has been used to calculate the probability of breast feeding at 6 months. Table 5 shows that a mother with a low education level who delivers her infant before the 37th week and does not breastfeed her infant during first 2 h of life and is not breastfeeding by the time she is discharged from the hospital has only an 8% chance of breastfeeding at 6 months. Conversely, a mother with a high education level who delivers her child after the 37th week and initiates breastfeeding within 2 h after delivery and who is breastfeeding at the time of discharge had a 94% chance of breastfeeding 6 months postpartum.
Table 4

Predictive factors for breastfeeding 2 and 6 months postpartum: multiple logistic regression analyses

Predictive factorsBreastfeeding 2 months
postpartum
Breastfeeding 6 months
postpartum
Adjusted OR (95% CI)Adjusted PAdjusted OR (95% CI)Adjusted P
High educational level3.34 (1.40–7.96)0.0065.94 (2.79–12.63)<0.001
Delivery <37 weeks0.36 (015–0.86)0.021
No early breastfeeding0.31 (0.15–0.68)0.003
No breastfeeding at discharge0.25 (0.11–0.58)0.0010.31 (0.15–0.65)0.002

Area under the ROC curve for prediction of breastfeeding: 0.73 at 2 months postpartum and 0.80 at 6 months postpartum.

Table 5

Probability for breastfeeding at 6 months as a function of education level, prematurity, early breastfeeding, and breastfeeding at discharge

Education levelDelivery (weeks)Early breastfeedingBreastfeeding at dischargeProbability of breastfeeding at 6 months (%)*
Low>37YesYes0.71 (71)
Low>37YesNo0.44 (44)
Low>37NoYes0.44 (44)
Low>37NoNo0.20 (20)
Low<37YesYes0.48 (48)
Low<37YesNo0.22 (22)
Low<37NoYes0.22 (22)
Low<37NoNo0.08 (8)
High>37YesYes0.94 (94)
High>37YesNo0.82 (82)
High>37NoYes0.82 (82)
High>37NoNo0.59 (59)
High<37YesYes0.84 (84)
High<37YesNo0.63 (63)
High<37NoYes0.63 (63)
High<37NoNo0.35 (35)

*Probability is obtained from: exp(lc)/[1 + exp(lc)], where lc is linear combination: 0.9149 + (high educational level) × 1.7814 − (delivery <37 weeks) × 1.0119 − (no early breastfeeding) × 1.1557 − (no breastfeeding at discharge) × 1.1625. The coefficients are estimated from the multivariate logistic model.

Predictive factors for breastfeeding 2 and 6 months postpartum: multiple logistic regression analyses Area under the ROC curve for prediction of breastfeeding: 0.73 at 2 months postpartum and 0.80 at 6 months postpartum. Probability for breastfeeding at 6 months as a function of education level, prematurity, early breastfeeding, and breastfeeding at discharge *Probability is obtained from: exp(lc)/[1 + exp(lc)], where lc is linear combination: 0.9149 + (high educational level) × 1.7814 − (delivery <37 weeks) × 1.0119 − (no early breastfeeding) × 1.1557 − (no breastfeeding at discharge) × 1.1625. The coefficients are estimated from the multivariate logistic model.

CONCLUSIONS

The findings from this study add to the growing body of research exploring breastfeeding patterns in mothers with type 1 diabetes. Our findings are consistent with studies that have found decreased breastfeeding duration in this group (12,15,17) but are inconsistent with studies that did not find differences (11,14). However, maternal type 1 diabetes was not a predictive factor for long-term breastfeeding. High education level, full-term vaginal delivery, and early initiation of breastfeeding as predictive factors for breastfeeding 6 months postpartum confirms findings in a recently published study (17). All these studies have used different designs and partly during different time periods, and the general breastfeeding rates and societal attitudes toward breastfeeding in the countries differ. As shown in Table 2, the breastfeeding rates in this study were higher than in the general population (20). However, national statistics report considerable variations between regions. It is possible that our definition of breastfeeding has been more inclusive, but the case-control design allows for comparison. Sociodemographic factors are well known to influence breastfeeding initiation and duration, not only in mothers with diabetes (16,17) but in mothers to preterm babies (21), as well as in the general population (22). This factor seems to transcend different cultures with more or less government-financed parental leave, as mothers working outside the home have been found to breastfeed more than mothers who stay at home (23). Unfortunately, we did not record BMI in early pregnancy, which is why this factor could not be included as a potential predictive factor. We excluded women with type 2 diabetes, because they are (yet) quite rare in Sweden, and women with gestational diabetes, because this condition mostly disappears after delivery. However, one study found mothers with gestational diabetes to be less likely to breastfeed long term than healthy mothers, especially those who are insulin dependent or obese (24). The literature is consistent regarding the higher occurrence of maternal and neonatal complications in mothers with diabetes (6–8), which was also confirmed in our study. It seems to be the higher frequency of birth-related complications that affects the breastfeeding duration. Interestingly, the TRIGR Study Group (17) found that among all mothers who were delivered by caesarean section, those with maternal diabetes actually breastfed longer. This can be compared with our findings where delivery mode did not remain as a predictive factor either at 2 or 6 months postpartum. It is possible that our findings can be related to insufficient statistical power. A limitation of the current study is the limited number of participants with diabetes. However, the prospective case-control design allowed for more valid group comparisons than studies using background populations. In line with the TRIGR Study Group (17), we claim that early breastfeeding should be considered as the most important factor to approach in clinical practice. Consequently, supporting mothers with type 1 diabetes to initiate milk production so that they breastfeed at the time of discharge from maternity/neonatal care seems to be optimal. The high frequency of neonatal hypoglycemia can however make this challenging. The CEMACH report (10) claims the significance of early breastfeeding in mothers with diabetes. This has led to recommendations of a more flexible approach toward blood glucose check-ups early postpartum and to postpone supplemental feeding if not necessary. Increased glycemic stability in neonates has been found when breastfeeding begins in the delivery room (12) and when mothers with diabetes room-in with their newborn infants (25). Although hypoglycemia was not found to affect long-term breastfeeding directly, those factors could influence conditions for early initiation of breastfeeding as an underlying factor. Encouraging mothers to prenatally start stimulation of milk production in order to reduce the time period till milk production postpartum needs to be evaluated regarding effect on breastfeeding outcome. In conclusion, our findings indicate that type 1 diabetes in mothers is not an independent risk factor for shorter duration of breastfeeding. However, factors associated with maternal diabetes, such as problems with establishing breastfeeding early postpartum due to the higher degree of maternal and neonatal complications, affects the likelihood of long-term breastfeeding. Supportive interventions for early initiation of breastfeeding need to be developed and evaluated. Future research needs to explore factors other than birth related that might influence long-term breastfeeding in mothers with type 1 diabetes.
  20 in total

1.  Long-term breast-feeding in women with type 1 diabetes.

Authors:  Edna Stage; Hanne Nørgård; Peter Damm; Elisabeth Mathiesen
Journal:  Diabetes Care       Date:  2006-04       Impact factor: 19.112

2.  Outcomes in type 1 diabetic pregnancies: a nationwide, population-based study.

Authors:  Dorte M Jensen; Peter Damm; Lars Moelsted-Pedersen; Per Ovesen; Jes G Westergaard; Margrethe Moeller; Henning Beck-Nielsen
Journal:  Diabetes Care       Date:  2004-12       Impact factor: 19.112

Review 3.  Breastfeeding and maternal and infant health outcomes in developed countries.

Authors:  Stanley Ip; Mei Chung; Gowri Raman; Priscilla Chew; Nombulelo Magula; Deirdre DeVine; Thomas Trikalinos; Joseph Lau
Journal:  Evid Rep Technol Assess (Full Rep)       Date:  2007-04

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Authors:  D A Revicki; N K Leidy; L Howland
Journal:  Qual Life Res       Date:  1996-08       Impact factor: 4.147

5.  [Breastfeeding in women with gestational diabetes].

Authors:  S Hummel; M Hummel; A Knopff; E Bonifacio; A-G Ziegler
Journal:  Dtsch Med Wochenschr       Date:  2008-02       Impact factor: 0.628

6.  Effects of early breastfeeding on neonatal glucose levels of term infants born to women with gestational diabetes.

Authors:  I R A Chertok; I Raz; I Shoham; H Haddad; A Wiznitzer
Journal:  J Hum Nutr Diet       Date:  2009-02-13       Impact factor: 3.089

7.  Breastfeeding outcomes for women with insulin dependent diabetes.

Authors:  J Webster; K Moore; A McMullan
Journal:  J Hum Lact       Date:  1995-09       Impact factor: 2.219

8.  Breastfeeding duration in families with type 1 diabetes compared to non-affected families: results from BABYDIAB and DONALD studies in Germany.

Authors:  Stefanie Schoen; Wolfgang Sichert-Hellert; Sandra Hummel; Anette G Ziegler; Mathilde Kersting
Journal:  Breastfeed Med       Date:  2008-09       Impact factor: 1.817

9.  Longer breastfeeding is an independent protective factor against development of type 1 diabetes mellitus in childhood.

Authors:  Vaiva Sadauskaite-Kuehne; Johnny Ludvigsson; Zilvinas Padaiga; Edita Jasinskiene; Ulf Samuelsson
Journal:  Diabetes Metab Res Rev       Date:  2004 Mar-Apr       Impact factor: 4.876

10.  Poor glycated haemoglobin control and adverse pregnancy outcomes in type 1 and type 2 diabetes mellitus: systematic review of observational studies.

Authors:  Melanie E Inkster; Tom P Fahey; Peter T Donnan; Graham P Leese; Gary J Mires; Deirdre J Murphy
Journal:  BMC Pregnancy Childbirth       Date:  2006-10-30       Impact factor: 3.007

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  11 in total

1.  Differences in breastfeeding initiation by maternal diabetes status and race, Ohio 2006-2011.

Authors:  Rashmi Kachoria; Reena Oza-Frank
Journal:  Matern Child Health J       Date:  2014-11

2.  Prepregnancy Diabetes and Breastfeeding Cessation Among Black Women in the United States.

Authors:  Ellen M Chetwynd; Alison M Stuebe; Lynn Rosenberg; Melissa A Troester; Julie R Palmer
Journal:  Breastfeed Med       Date:  2019-03-06       Impact factor: 1.817

3.  Reprioritizing life: a conceptual model of how women with type 1 diabetes deal with main concerns in early motherhood.

Authors:  Ing-Marie Carlsson; Marie Berg; Annsofie Adolfsson; Carina Sparud-Lundin
Journal:  Int J Qual Stud Health Well-being       Date:  2017

4.  Initial Validation of the Diabetes and Breastfeeding Management Questionnaire (DBM-Q).

Authors:  Karolina Linden; Marie Berg; Carina Sparud-Lundin; Annsofie Adolfsson; Jeanette Melin
Journal:  Int J Environ Res Public Health       Date:  2020-04-27       Impact factor: 3.390

5.  Lactation and progression to type 2 diabetes in patients with gestational diabetes mellitus: A systematic review and meta-analysis of cohort studies.

Authors:  Lijun Feng; Qunli Xu; Zhefang Hu; Hongying Pan
Journal:  J Diabetes Investig       Date:  2018-04-18       Impact factor: 4.232

6.  Transition to motherhood in type 1 diabetes: design of the pregnancy and postnatal well-being in transition questionnaires.

Authors:  Bodil Rasmussen; Trisha Dunning; Christel Hendrieckx; Mari Botti; Jane Speight
Journal:  BMC Pregnancy Childbirth       Date:  2013-02-27       Impact factor: 3.007

7.  Breastfeeding and its impact on daily life in women with type 1 diabetes during the first six months after childbirth: a prospective cohort study.

Authors:  Marie Berg; Lena-Karin Erlandsson; Carina Sparud-Lundin
Journal:  Int Breastfeed J       Date:  2012-12-21       Impact factor: 3.461

8.  Infant feeding patterns in families with a diabetes history - observations from The Environmental Determinants of Diabetes in the Young (TEDDY) birth cohort study.

Authors:  Sandra Hummel; Kendra Vehik; Ulla Uusitalo; Wendy McLeod; Carin Andrén Aronsson; Nicole Frank; Patricia Gesualdo; Jimin Yang; Jill M Norris; Suvi M Virtanen
Journal:  Public Health Nutr       Date:  2013-11-26       Impact factor: 4.539

9.  Delivery room triage of large for gestational age infants of diabetic mothers.

Authors:  Leandro Cordero; Krista Rath; Katherine Zheng; Mark B Landon; Craig A Nankervis
Journal:  SAGE Open Med       Date:  2014-03-24

10.  The lived experiences of healthcare during pregnancy, birth, and three months after in women with type 1 diabetes mellitus.

Authors:  Helena Dahlberg; Marie Berg
Journal:  Int J Qual Stud Health Well-being       Date:  2020-12
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