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JAMA Network logoLink to JAMA Network
. 2018 Jan 16;178(3):328–337. doi: 10.1001/jamainternmed.2017.7978

Lactation Duration and Progression to Diabetes in Women Across the Childbearing Years

The 30-Year CARDIA Study

Erica P Gunderson 1,, Cora E Lewis 2, Ying Lin 1, Mike Sorel 1, Myron Gross 3, Stephen Sidney 1, David R Jacobs Jr 4, James M Shikany 2, Charles P Quesenberry Jr 1
PMCID: PMC5885916  PMID: 29340577

Abstract

Importance

Lactation duration has shown weak protective associations with incident diabetes (3%-15% lower incidence per year of lactation) in older women based solely on self-report of diabetes, studies initiated beyond the reproductive period are vulnerable to unmeasured confounding or reverse causation from antecedent biochemical risk status, perinatal outcomes, and behaviors across the childbearing years.

Objective

To evaluate the association between lactation and progression to diabetes using biochemical testing both before and after pregnancy and accounting for prepregnancy cardiometabolic measures, gestational diabetes (GD), and lifestyle behaviors.

Design, Setting, and Participants

For this US multicenter, community-based 30-year prospective cohort study, there were 1238 women from the Coronary Artery Risk Development in Young Adults (CARDIA) study of young black and white women ages 18 to 30 years without diabetes at baseline (1985-1986) who had 1 or more live births after baseline, reported lactation duration, and were screened for diabetes up to 7 times during 30 years after baseline (1986-2016).

Exposures

Time-dependent lactation duration categories (none, >0 to 6 months, >6 to <12 months, and ≥12 months) across all births since baseline through 30 years.

Main Outcomes and Measures

Diabetes incidence rates per 1000 person-years and adjusted relative hazards (RH) with corresponding 95% CIs, as well as proportional hazards regression models adjusted for biochemical, sociodemographic, and reproductive risk factors, as well as family history of diabetes, lifestyle, and weight change during follow-up.

Results

Overall 1238 women were included in this analysis (mean [SD] age, 24.2 [3.7] years; 615 black women). There were 182 incident diabetes cases during 27 598 person-years for an overall incidence rate of 6.6 cases per 1000 person-years (95% CI, 5.6-7.6); and rates for women with GD and without GD were 18.0 (95% CI, 13.3-22.8) and 5.1 (95% CI, 4.2-6.0), respectively (P for difference < .001). Lactation duration showed a strong, graded inverse association with diabetes incidence: adjusted RH for more than 0 to 6 months, 0.75 (95% CI, 0.51-1.09); more than 6 months to less than 12 months, 0.52 (95% CI, 0.31-0.87), and 12 months or more 0.53 (0.29-0.98) vs none (0 days) (P for trend = .01). There was no evidence of effect modification by race, GD, or parity.

Conclusions and Relevance

This study provides longitudinal biochemical evidence that lactation duration is independently associated with lower incidence of diabetes. Further investigation is required to elucidate mechanisms that may explain this relationship.


This 30-year prospective cohort study examines the association between lactation and progression to diabetes using biochemical testing both before and after pregnancy, accounting for prepregnancy cardiometabolic measures, gestational diabetes, and lifestyle behaviors.

Key Points

Question

Is the protective association between lactation duration and progression to diabetes supported by a biochemical evidence basis?

Findings

Among young white and black women in this observational 30-year study, increasing lactation duration was associated with a strong, graded 25% to 47% relative reduction in the incidence of diabetes even after accounting for prepregnancy biochemical measures, clinical and demographic risk factors, gestational diabetes, lifestyle behaviors, and weight gain that prior studies did not address.

Meaning

This study provides evidence to support the hypothesis that lactation may lower risk of diabetes in women; these findings open new avenues into mechanisms leading to glucose intolerance.

Introduction

Normal pregnancy is an insulin-resistant state characterized by intensified fluctuations in maternal fasting and postprandial glycemia, hypertriglyceridemia, and increased insulin secretion. Lactation rapidly lowers maternal circulating triglycerides and glucose, lessens insulin secretion, and mobilizes adipose tissue stores. Some longitudinal evidence shows that more favorable metabolic profiles persist postweaning, despite minimal or no weight loss, but biochemical evidence that directly links lactation with long-term diabetes risk is unavailable. Large, prospective epidemiologic studies of middle-aged or older women of northern European or Asian ancestry showed weak to modest relative reductions in diabetes risk of 3% to 15% per year of lactation, or 20% for 6 or more months of lactation. All studies relied on self-report of diabetes without biochemical testing or other assessments across the childbearing years or beyond. Furthermore, none considered gestational diabetes (GD), a strong risk factor for type 2 diabetes in young women, although a retrospective subanalysis among women reporting GD after incident diabetes found no association. Thus, risk estimates may be biased away from the null owing to unmeasured confounding or reverse causation from cardiometabolic risk factors, GD status, perinatal outcomes, and differences in lactation duration among older vs younger women, or biased toward the null by exclusion of high-risk younger women who had transitioned to diabetes many years prior to study baseline. The lack of longitudinal biochemical testing, older age of study participants at baseline, and the inability to evaluate antecedent biochemical and perinatal parameters, including GD status, diminish the validity for this entire body of evidence.

One prospective study of women with GD found that increasing lactation intensity and duration were associated with 34% to 57% lower 2-year incidence of diabetes (P for trend = .01) from annual oral glucose tolerance tests. This is the only study to account for reverse causation and confounding from prepregnancy obesity, gestational metabolism, perinatal outcomes, sociodemographics, and postdelivery lifestyle behaviors.

To overcome the limitations of previous studies among mostly older women, we prospectively evaluated progression to diabetes among young black and white women during the 30-year Coronary Artery Risk Development Study in Young Adults (CARDIA) study (NCT00005130). CARDIA conducted multiple assessments of glucose tolerance and other risk factors up to 7 times from prepregnancy to postweaning across the childbearing years. The prospective biochemical assessments enhance validity given that randomization to either breast or formula feeding is not desirable or feasible. We hypothesized that lactation duration is associated strongly with lower incidence of diabetes in women through midlife.

Methods

The US multicenter CARDIA study examines the trends and correlates of cardiovascular disease risk in young black and white men and women. The CARDIA study enrolled 5115 adults aged 18 to 30 years from 1985 to 1986 (2787 women; 52% black and 48% white) using community-based sampling from 4 geographic areas in the United States: Birmingham, Alabama; Chicago, Illinois; Minneapolis, Minnesota; and Oakland, California. The study design, recruitment, methodology, and characteristics are described elsewhere. Retention was 81%, 79%, 74%, 72%, 72% and 71% of the surviving cohort at 7, 10, 15, 20, 25, and 30 years since baseline, respectively. Institutional review boards at each participating study center (University of Alabama at Birmingham, Northwestern University, University of Minnesota, and Kaiser Permanente Northern California) approved the study. Written informed consent was obtained from participants for all study procedures.

Selection Criteria

Of 2787 women enrolled, we excluded 41 with diabetes, 24 with a hysterectomy or bilateral oophorectomy, and 5 who were pregnant or lactating at baseline. We also excluded 2 women who developed diabetes before their first postbaseline birth, 154 without any follow-up, and 1196 without postbaseline births (eFigure 1 in the Supplement). Of 1365 women without diabetes who attended 1 or more follow-up examinations, 127 (9.3%) had missing lactation duration data. The analysis included 1238 women (n = 615 black [50.0%]) without diabetes before pregnancy who delivered 2302 live born infants after baseline. Women excluded were less educated, had higher body mass index (BMI; calculated as weight in kilograms divided by height in meters squared), and were more likely of black race.

Data Collection

Data collected included trained and certified staff-assessed medical and clinical attributes; sociodemographics and lifestyle behaviors at in-person examinations using standardized methodologies; calibrated equipment; and interviewer and self-administered questionnaires. Procedures for venipuncture, laboratory quality control, and biochemical assays are detailed elsewhere. We used the homeostasis model assessment index (HOMA-IR) to estimate insulin resistance, and the NCEP-ATP III (National Cholesterol Education Program Adult Treatment Panel III) criteria for the metabolic syndrome.

Incident Diabetes

We defined incident diabetes as self-report of diabetes with medication treatment or elevated fasting or 2-hour postload serum glucose from the 75 g oral glucose tolerance tests and/or glycated hemoglobin consistent (fasting glucose measured at examinations in years 0, 7, 10, 15, 20, 25, or 30; oral glucose tolerance tests in years 15, 20, 25, or 30; and glycated hemoglobin in years 20, 25, or 30) based on the American Diabetes Association diagnostic criteria for diabetes: fasting glucose, 126 mg/dL or greater; 2-hour glucose, 200 mg/dL or greater; and/or glycated hemoglobin, 6.5% or greater (48 mmol/mol).

Time-Dependent Parity (Postbaseline Births) and GD

At each examination, women reported current pregnancy or lactation, number of pregnancies and births since the last examination, pregnancy outcomes (abortion, miscarriage, and live or stillbirths, dates of deliveries, gestational ages, infant birth weight, hypertension with or without proteinuria, GD, preterm birth, and mode of delivery). Parity at baseline was defined as number of pregnancies 20 weeks’ gestation or more. Time-dependent parity and GD variables indicate the number of live births since baseline by GD status and are updated at each study examination. We validated GD history by medical record abstraction of discharge diagnoses and laboratory tests for 165 women (200 pregnancies). Self-report of GD had high sensitivity (100%) and specificity (92%) confirmed by oral glucose tolerance laboratory results based on the Carpenter and Coustan criteria. Preterm birth (<37 weeks) was reported with high sensitivity and specificity of 84% and 89%, respectively. Hypertensive disorders of pregnancy were overreported by women and had low sensitivity (40%) but high specificity (90%). We distinguished GD from overt diabetes based on the CARDIA Study questionnaires, dates of self-report of diabetes diagnosis with medication treatment, and biochemical test results at study examinations as previously described.

Time-Dependent Lactation Duration

Women reported lactation duration at year 7 for all previous birth(s) and for each birth at subsequent examinations. For a “yes” that they had breastfed the child, women selected 1 of these categories: less than 6 weeks, 6 to 11 weeks, 3 to 6 months, or 6 months or more. To calculate duration, we assigned the midpoint of each lactation category to each birth: 21 days for less than 6 weeks; 66 days for 6 to 11 weeks; 135 days for 3 to 6 months; and 210 days as the upper limit for 6 months or more (except women currently lactating, who were assigned a maximum of 650 days). Then, we summed lactation duration (days) across all births. Time-dependent lactation categories were updated at each examination year as births occurred. Women were assigned into relevant categories: none (n = 322 [26.0%]); more than 0 to 6 months (n = 418 [33.8%]); more than 6 months to less than 12 months (n = 268 [21.6%]); and 12 months or more (n = 230 [18.6%]) across examinations through the end of follow-up.

Other Covariates

At each examination, women reported sociodemographics and lifestyle behaviors (alcohol intake, cigarette smoking, physical activity), as well as prior medical history (hypertension, heart disease, diabetes), and medication use. Women also reported menopausal status and family history of diabetes. The CARDIA Diet History questionnaire assessed dietary intake at baseline, and years 7 and 20. We calculated an a priori diet quality score, an index of plant-based food patterns, as described in detail elsewhere. We averaged the scores from the 3 examinations. The CARDIA Physical Activity History questionnaire estimated a physical activity score that correlates positively with the symptom-limited graded treadmill exercise test duration. We configured physical activity as time-dependent race-specific quartiles.

Statistical Analysis

We assessed differences in baseline and follow-up characteristics among lactation categories and by incident diabetes using χ2 statistics for categorical variables and using analysis of variance for continuous variables. Median and interquartile ranges were reported for alcohol intake, HOMA-IR, weight change, and physical activity score for skewed distributions, with differences across lactation categories and by incident diabetes assessed with the Kruskal-Wallis test; P values were obtained from 2-sided tests (significance, <.05). All analyses were performed using SAS version 9.3 (SAS Institute, Inc).

We identified incident diabetes cases between consecutive examinations (0-7, >7 to 10, >10 to 15, >15 to 20, >20 to 25, >25 to 30 years), and estimated incidence rates and 95% CIs for diabetes among lactation categories by dividing the number of incident cases by the person-time across preceding intervals. Person-time is contributed by each individual for the entire time interval within the lactation category. Women may contribute person-time to multiple lactation categories moving across time until the end of follow-up (ie, last examination year 7 to year 30 or onset of incident diabetes). Because diabetes onset was only determined at CARDIA examinations, the exact failure time for a woman without diabetes at a particular examination and onset of diabetes at the subsequent examination is unknown. We calculated point and interval estimates of relative hazards ratio (RH) and 95% CI for incidence of diabetes among lactation duration categories accounting for interval-censored data using the Prentice and Gloeckler proportional hazards regression model. Adjusted models included covariables: examination years (time), race, family history of diabetes, baseline age, fasting glucose, BMI and waist circumference, time-dependent GD, parity and physical activity, and dietary quality score. Trend P values were generated from models of continuous time-dependent lactation duration. We evaluated potential confounders based on a priori hypotheses for selected baseline (BMI, fasting blood glucose and lipids, HOMA-IR, blood pressure, sociodemographics), and follow-up (smoking, dietary quality, physical activity, hypertension, medication use, and pregnancy outcomes) covariates. We evaluated median weight change as a time-dependent dichotomous covariate. Covariates were not included if they were not associated with incident diabetes independent of other model covariates or did not alter 1 or more coefficients for lactation by at least 10% after addition of covariates. We formally tested effect modification of the lactation-diabetes association by race, baseline BMI, GD status, and parity by introduction of cross-product terms (P value significance, <.10).

Results

Of 1238 women (n = 615 black [50.0%] and n = 623 white [50.0%]) without diabetes before pregnancies who delivered 1 or more singleton births (n = 2302) after baseline, 155 (12.5%) reported GD status for postbaseline births within a mean (SD) follow-up time of 24.7 (6.6) years. There were 182 incident cases of diabetes (median age, 47 years) in 27 598 person-years for an overall incidence rate of 6.6 cases per 1000 person-years (95% CI, 5.6-7.6), with 132 cases (73.0%) in 13 369 person-years for black women, and 50 cases in 14 229 person-years for white women. Diabetes incidence per 1000 person-years was higher in black women (9.9; 95% CI, 8.2-11.6), than white women (3.5; 95% CI, 2.5-4.5) (P for differences <.001). Diabetes incidence per 1000 person-years was also higher for women with GD than women without GD (non-GD) groups: 18.0 (95% CI, 13.3-22.8) and 5.1 (95% CI, 4.2-6.0), respectively (P for difference <.001) (Figure; Table 1). For GD and non-GD groups, lactation duration was inversely associated with diabetes incidence, with lowest incidences for lactation more than 12 months (all P for trend = .02). Eighty-six percent of incident cases of diabetes occurred from 15 to 30 years postbaseline, whereas 93% of the postbaseline births occurred prior to 15 years postbaseline.

Figure. Incidence Rates of Diabetes Mellitus Among Lactation Duration Categories Stratified by GD Status in Women.

Figure.

Crude incidence rates and corresponding 95% CIs (whiskers) of diabetes in black and white women enrolled in the Coronary Artery Risk Development in Young Adults trial subsequent to postbaseline births and lactation during 30 years of follow-up (1986-2016). The incidence rates of diabetes (cases per 1000 person-years) were based on systematic testing up to 7 times and were stratified by GD status for postbaseline births. The entire sample comprised 1238 women (GD = 155; non-GD = 1083), and overall P < .001 (P for trend for women with GD = .02; P for trend for women without GD = .001). See Table 1 for further data. GD indicates gestational diabetes.

Table 1. Incidence Rates of Diabetes Among Lactation Categories.

GD Status Lactation Duration Categoriesa
None >0 to 6 Months >6 to <12 Months ≥12 Months All
Women without GD (n = 1083)
Cases of diabetes, No. 49 49 18 10 126
Person-years 6506 8866 5367 3753 24 492
Incidence rate per 1000 person-years (exact 95% CI) 7.5 (5.4-9.6) 5.5 (4.0-7.1) 3.4 (1.8-4.9) 2.7 (1.0-4.3) 5.1 (4.2-6.0)
Women with GD (n = 155)
Cases of diabetes, No. 25 16 8 7 56
Person-years 805 957 663 681 3106
Incidence rate per 1000 person-years (exact 95% CI) 31.1 (18.9-43.2) 16.7 (8.5-24.9) 12.1 (3.7-20.4) 10.3 (2.7-17.9) 18.0 (13.3-22.8)
All women (n = 1238)
Cases of diabetes, No. 74 65 26 17 182
Person-years 7311 9823 6030 4434 27 598
Incidence rate per 1000 person-years (exact 95% CI) 10.1 (7.8-12.4) 6.6 (5.0-8.2) 4.3 (2.7-6.0) 3.8 (2.0-5.7) 6.6 (5.6-7.6)

Abbreviation: GD, gestational diabetes.

a

For for lactation duration categories, the number of incident cases per 1000 person-years for all women was 1238, stratified by GD status; women with 1 or more GD births, 155; and women without GD births, 1083 (overall association for lactation duration and incident diabetes, P < .001; among women with GD, P for trend = .001; and among women without GD P for trend = .02).

At baseline, women who later developed diabetes (Table 2) were more likely to be black, multiparous, reach menarche earlier, and had higher BMI, waist circumference, fasting glucose and triglycerides, HOMA-IR and blood pressure, and lower high-density lipoprotein cholesterol, physical activity, and diet quality scores. At follow-up, women who later developed diabetes had higher parity, weight gain and decrements in physical activity, shorter lactation duration, and lower diet quality, and a higher percentage were unmarried, treated for hyperlipidemia and hypertension, developed GD, gestational hypertension or metabolic syndrome, and had a family history of diabetes (Table 3).

Table 2. Baseline Characteristics by Incident Diabetes During 30 Years From 1986 to 2016 Among Women Without Diabetes Before 1 or More Live Births Since the Baseline CARDIA Examinationa.

Baseline Characteristics No. (%) P Value
Incident Diabetes (n = 182) No Diabetes (n = 1056)
Black race/ethnicity 132 (73) 483 (46) <.001
Parity
Nulliparas (0 births) 110 (60) 742 (70) .01
Primiparas (1 birth) 52 (29) 204 (19)
Multiparas (2 or more births) 20 (11) 110 (10)
Married 44 (24) 273 (26) .22
Smoker (current or past) 60 (33) 259 (25) .05
Metabolic syndrome at baseline 3 (2) 2 (0.2) .03
Age, mean (SD), y 24.2 (3.7) 24.0 (3.7) .55
Age at menarche, mean (SD), y 12.3 (1.7) 12.7 (1.6) .003
Body mass index, mean (SD), kg/m2 27.5 (6.8) 23.1 (4.4) <.001
Waist circumference, mean (SD), cm 80.3 (14.3) 71.1 (8.7) <.001
Blood Pressure, mean (SD), mm Hg
Systolic 108.6 (9.7) 105.2 (8.9) <.001
Diastolic 67.8 (8.9) 65.5 (8.5) .001
Fasting glucose, mean (SD), mg/dL 82.0 (9.3) 78.9 (7.4) <.001
Cholesterol, mean (SD), mg/dL
High-density lipoprotein 52.6 (13.5) 56.8 (12.5) <.001
Low-density lipoprotein 110.2 (31.2) 107.7 (29.8) .31
Total 176.7 (32.5) 177.3 (32.2) .84
Triglycerides, mean (SD), mg/dL 69.6 (32.9) 64.0 (34.5) .04
Dietary intake, mean (SD) for % kcal
Energy from carbohydrate 47 (7) 47 (8) .81
Energy from fat 38 (6) 37 (6) .22
Diet Quality score, mean (SD)b 61.3 (12.7) 64.7 (13.6) .002
HOMA-IR, median (IQR)c 2.5 (2.5) 1.7 (1.2) <.001
Crude fiber intake, median (IQR) g/1000 kcal 2 (1) 2 (1) .12
Alcohol intake, median (IQR), mL/dc 0.0 (7.9) 2.4 (9.6) .18
Physical activity score, median (IQR)c 221 (268) 306 (330) <.001

Abbreviations: HOMA-IR, homeostatic model assessment–insulin resistance; IQR, interquartile range.

a

This analysis included 1238 women and 2302 births.

b

A priori Diet Quality score was obtained at baseline (year 0).

c

Data for fasting serum glucose levels at year 0 were available for 1223 participants; year 7 prior to diabetes for 10 participants; and missing for 5 participants (Kruskal-Wallis test).

Table 3. Characteristics by Incident Diabetes From 1986 to 2016 Among Women Without Diabetes Before 1 or More Live Births During Follow-upa.

Follow-Up (Up to Year 30) Characteristics Incident Diabetes (n = 182) No Diabetes (n = 1056) P Value
Education (high school or less), No. (%) 27 (15) 133 (13) <.001
Marital Status (married), No. (%) 94 (54) 595 (61) .10
Postmenopausal status, No. (%) 75 (41) 609 (58) <.001
Pregnancy Outcomes, No. (%)
1 Postbaseline birth 92 (50) 417 (39) .003
2 Postbaseline births 69 (38) 421 (40)
≥3 Postbaseline births 21 (12) 218 (21)
Gestational diabetes mellitus, No. (%) 56 (31) 99 (9) <.001
Gestational hypertensive disorder, No. (%) 73 (40) 233 (22) <.001
Preterm birth (<37 weeks gestation), No. (%) 38 (21) 188 (18) .29
Cesarean birth, No. (%) 61 (34) 307 (29) .23
Medical conditions/medication use, No. (%)
Antihypertensive medications 85 (47) 244 (23) <.001
Lipid-lowering medications 74 (41) 115 (11) <.001
Incident metabolic syndrome 79 (43) 82 (8) <.001
Family history of diabetes 127 (70) 435 (41) <.001
Social/clinical risk factors, mean (SD)
Age, y 46.3 (7.1) 51.4 (7.1) <.001
Body mass indexb 37.2 (8.6) 29.3 (7.4) <.001
Waist circumference, cm 104.9 (16.2) 88.7 (15.6) <.001
Weight change, kg 27.0 (27.4) 16.8 (15.7) <.001
Smoking, pack-years 5.4 (9.3) 3.7 (7.6) .007
Dietary Quality scorec 64.1 (10.1) 67.6 (11.8) <.001
Weight change, median (IQR), kgd 24.6 (21.8) 14.4 (20.2) <.001
Physical activity change, median (IQR)d −78.0 (256.0) −61.5 (323.0) .67
Alcohol intake, median (IQR), mL/dd 0.0 (2.7) 2.4 (12.1) <.001
Lactation duration, median (IQR), monthsd 1.4 (5.1) 4.4 (8.5) <.001

Abbreviation: IQR, interquartile range.

a

This analysis included 1238 women and 2302 births.

b

Calculated as weight in kilograms divided by height in meters squared.

c

A priori Dietary Quality score average of scores from years 0, 7, and 20.

d

Kruskal-Wallis test.

Baseline characteristics were similar across the lactation categories (eTable 1 in the Supplement). All biochemical parameters fell within normal ranges, reflecting their young age (18-30 years) and good health, but the absolute differences across lactation categories were small. However, at baseline, women who never lactated (none) tended to be slightly younger, nulliparous, black race, or smokers; had slightly lower mean plasma high-density lipoprotein cholesterol, dietary fiber intake, physical activity, and dietary quality; and slightly higher dietary fat intake, BMI, waist circumference, low-density lipoprotein cholesterol, and HOMA-IR. During follow-up (eTable 2 in the Supplement), the no lactation group (none) had lower education and diet quality, higher prevalence of the metabolic syndrome; treatment for hypertension, and a family history of diabetes; and greater weight gain. Mean weight change during follow-up among lactation categories was similar among women with or without incident diabetes (P for interaction = .99) (eFigure 2 in the Supplement).

In multivariate models stratified by GD status, graded inverse lower RH of incident diabetes with time-dependent lactation categories were slightly stronger among GD than non-GD groups (data not shown). In multivariate models stratified by race, these graded inverse associations were similar among black women and white women (data not shown) but did not reach statistical significance. Adjusted RHs for incident diabetes in models with continuous months of lactation were similar by race (eTable 3 in the Supplement) and by GD status but reached statistical significance for women with GD (data not shown). There was no evidence of effect modification by race, baseline BMI, GD, or parity (P values >.16; Figure). Based on these analyses, we combined race and GD groups into a single Cox proportional hazards model (Table 4). In unadjusted models, increasing time-dependent categories of lactation duration were strongly associated with lower incidence of diabetes (P for trend <.001; Table 4). Addition of a priori confounders (race, prepregnancy BMI, waist circumference, fasting blood glucose or HOMA-IR, age, time-dependent parity and GD status, family history of diabetes) moderately attenuated associations, but they remained statistically significant (P for trend = .01; Table 4). Addition of lifestyle behaviors during follow-up (ie, quartiles of dietary quality score and time-dependent physical activity) had minimal impact on RHs. Addition of time-dependent weight change strengthened these graded protective associations with estimates of 25% to 47% lower relative risk of incident diabetes (fully adjusted RHs range from 0.75 to 0.53; P for trend = .01). Other characteristics (eg, medical conditions, fasting lipids, antilipid lowering or hypertensive medication use, pregnancy complications) did not materially affect the estimates. A sensitivity analysis of 848 women who were nulliparous at baseline showed even stronger relative risk reductions in incident diabetes associated with increasing lactation duration that remained statistically significant (eTable 3 in the Supplement). The fully adjusted RHs range from 0.66 to 0.44 for lactation duration from more than 0 through 6 months to 12 months or more (P for trend = .02).

Table 4. Unadjusted and Adjusted Relative Hazards of Incident Diabetes During Follow-up From 1986 to 2016 Among Lactation Duration Categories.

Multivariate Models Time-Dependent Lactation Duration Categories, Adjusted Relative Hazard (95% CI) P Value for Trenda
None
(n = 322)
>0 to 6 mo (n = 418) >6 to <12 mo (n = 268) ≥12 mo (n = 230)
Model 1 Unadjusted 1 [Reference] 0.60 (0.43-0.83) 0.36 (0.23-0.57) 0.29 (0.17-0.49) <.001
Model 2 (model 1 plus adjustment for race time-dependent parity and GD status during follow-up) 1 [Reference] 0.74 (0.53-1.04) 0.55 (0.34-0.87) 0.45 (0.26-0.80) .003
Model 3 (model 2 plus age, baseline covariates [body mass index,b waist circumference, and fasting glucosec], and familiy history of diabetes) 1 [Reference] 0.84 (0.60-1.20) 0.56 (0.35-0.91) 0.50 (0.27-0.90) .006
Model 4 (model 3 plus time-dependent physical activity scored and Diet Quality scoree during follow-up) 1 [Reference] 0.81 (0.56-1.19) 0.53 (0.31-0.88) 0.53 (0.29-0.98) .01
Model 5 (model 4 plus time-dependent weight changef during follow-up) 1 [Reference] 0.75 (0.51-1.09) 0.52 (0.31-0.87) 0.53 (0.29-0.98) .01

Abbreviation: GD, gestational diabetes.

a

No evidence of effect modification by race, GD status, or parity groups.

b

Calculated as weight in kilograms divided by height in meters squared.

c

Fasting serum glucose at baseline (year 0); there was missing data for 5 participants, and 10 participants had fasting glucose from year 7 before diabetes onset (all values at year 7 <100 mg/dL).

d

Quartiles for time-dependent physical activity score for race-specific quartiles were evaluated as the average of scores from years 0, 7, and 20 (19 women were missing follow-up physical activity score).

e

Quartiles for the a priori Diet Quality score were evaluated as the average of scores from years 0, 7, and 20 (10 women were missing average Diet Quality score).

f

Time-dependent weight change equals weight change above the median vs at or below from baseline through the end of follow-up.

For the full sample of 1238 women, models with continuous months of lactation yielded consistent lower RHs of incident diabetes in unadjusted and adjusted race-stratified models and combined models (eTable 4 in the Supplement). Finally, unadjusted and adjusted RHs (95% CIs) of incident diabetes for covariates, race, family history of diabetes, and prepregnancy BMI, showed attenuation in fully adjusted models but stable RHs for GD status (eFigure 3 in the Supplement).

Discussion

The US community-based CARDIA study provides a biochemical basis for strong, graded inverse associations between lactation duration and incidence of diabetes in women of childbearing age. The graded risk reduction ranged from 25% for 6 months or less to 47% for 6 or more months of lactation. Importantly, these estimates were adjusted for key potential confounders and took into account reverse causation from antecedent risk factors across the childbearing years that previous studies had been unable to address, except 1 study of women with recent GD. Overall, we found an excess risk of incident diabetes associated with no lactation compared with 12 or more months of lactation that was 2.08% per year higher among women with a history of GD and 0.48% per year higher among women without a history of GD.

Our findings in young black and white women are consistent with studies in high-risk women with GD that rescreened women systematically for diabetes after pregnancy. Among 1010 women with recent GD, lactation intensity and duration were associated with a strong, graded 36% to 57% lower 2-year incidence of diabetes after accounting for gestational metabolic status, prepregnancy obesity, perinatal outcomes, and lifestyle behaviors. This strong graded, protective association is strikingly similar in magnitude to our 30-year follow-up risk reduction in healthy CARDIA women (ie, 2-fold higher risk with no lactation). Among 264 women with GD, lactation for 3 months or longer was associated with 45% lower 15-year incidence of diabetes, but this study validity is reduced by unmeasured confounding from perinatal outcomes, lifestyle behaviors, or weight changes that were not evaluated.

Meta-analyses of lactation and diabetes incidence or prevalence have yielded protective summary estimates of 9% to 11% per year of lactation. This weaker association may be related to 2 decades older age at baseline (median, 47-52 years) compared with women who participated in CARDIA (median, 24 years), incomplete ascertainment of incident diabetes by self-report compared with regular screening, or unknown GD history. One meta-analysis evaluated 6 studies (3 prospective, 2 cross-sectional, and 1 in GD) yielding a summary estimate for diabetes risk of 0.91 (95% CI, 0.86-0.96) for each additional year of lactation. The heterogeneity of outcomes and participant risk status undermines its validity. A second meta-analysis of only prospective studies estimated a pooled relative hazards of 0.89 (95% CI, 0.82-0.97) for 6 to 11 months of lactation vs none, based primarily on older US white nurses and Asian women. One study found a 20% lower incidence for 6 months of lactation, but had limited statistical power related to longer lactation and nonsignificant findings after controlling for BMI at baseline.

Self-report of disease status may be reasonable to investigate breast cancer and heart disease that have long latency periods, but progressive deterioration in glucose intolerance is optimally detected via regular biochemical screening. Moreover, GD history, a major risk factor for type 2 diabetes in young women, and other perinatal outcomes were not evaluated in the prospective studies of lactation. For example, parity has been directly associated with diabetes, but prospective studies that accounted for prepregnancy metabolic risk and GD status, or that excluded women with a history of GD, showed null associations.

Black women have both higher diabetes prevalence and lower breastfeeding initiation and duration than white women. Type 2 diabetes affects 1.9% of US women of childbearing age (20-39 years) with a 6-fold higher prevalence in black (4.7%) than white women (0.8%). In CARDIA, diabetes incidence was 3-fold higher for black compared with white women, as expected from national estimates. Although 41.0% of black women vs 11.0% of white women had never breastfed a child, the protective association between lactation duration and diabetes risk did not differ by race. This consistency across race groups provides strong evidence that lactation may protect against diabetes via biological mechanisms rather than cultural or social factors. Moreover, CARDIA is a community-based cohort of healthy young adults recruited from suburban and urban centers enhancing its generalizability.

Several mechanisms are plausible to explain the lower risk of diabetes associated with lactation duration. Lactating women have lower circulating glucose in both fasting and postabsorptive states, as well as lower insulin secretion, despite increased glucose production rates. About 50 g of glucose per 24 hours is diverted into the mammary gland for milk synthesis via non–insulin mediated pathways. These processes for milk production have been associated with lower basal and glucose-stimulated β-cell secretory activity for a standardized glucose load and beneficial effects that unload the pancreatic β-cells. Higher basal and sporadic increased prolactin levels in lactating women may preserve pancreatic β-cell mass and function. In mice, lactating vs nonlactating animals showed greater pancreatic β-cell proliferation. Studies in pregnant women indicate that lactogenic hormones, such as prolactin, may influence future diabetes risk in women. Lactation requires greater energy expenditure (additional 300 kcal per day) and mobilizes adipose tissue, including regional subcutaneous stores, or visceral depots, although potential effects on body composition or postpartum weight loss (1 to 2 kg for exclusive lactation) are minimal. The Diabetes Prevention Program found a 5 kg greater weight loss owing to physical activity reduced incidence of diabetes by 58%. Yet, weight loss did not explain our 47% lower relative hazards of incident diabetes for more than 6 months of lactation.

Obesity before pregnancy and insulin treatment of GD have been associated with delayed lactogenesis. It has been hypothesized that heightened insulin resistance may interfere with timely lactogenesis after delivery. However, overweight or obese women are also more likely to experience medical complications and adverse perinatal outcomes that can disrupt early breastfeeding initiation. Heavier women have been found to report more limited access to breastfeeding education and support or may hold unrealistic expectations about weight loss that negatively affect breastfeeding duration. In our study, the strong protective association between lactation and incident diabetes remained even after accounting for prepregnancy metabolic status, obesity, and perinatal outcomes, and the associations became stronger in a sensitivity analysis limited to women who were nulliparous at baseline.

Strengths and Limitations

The study strengths include the biracial cohort, longitudinal serial biochemical assessments from before to after pregnancies and postweaning, standardized diabetes screening almost every 5 years for 30 years (retention, 71%), and control for prepregnancy cardiometabolic risk, lifestyle behaviors, and GD history to minimize reverse causation. All previous prospective studies enrolled women many years to decades after pregnancies and did not conduct any assessments during the childbearing period.

Limitations include the variable timing of assessments in relation to pregnancies and self-report of pregnancy complications. However, GD and other perinatal outcomes were accurately reported. We relied on self-report of lactation and recall post-delivery (within ≤4 years for 88% of births), which may be a limitation, but studies indicate that women are able to accurately recall duration up to 20 years later. Because lactation duration was obtained for a maximum of 6 months for each birth, we could not determine absolute duration. However, CARDIA reflects contemporary breastfeeding practices with 78% of births occurring between 1985 and 1995, when only 20% of US women breastfed at 6 months. Thus, our lactation categories closely approximate actual duration. Women who lactated longer may have had better health habits that determined lower risk of diabetes. However, metabolic status before pregnancy was similar among lactation categories, and we controlled for time-varying weight change and lifestyle behaviors within race groups to address these differences, but they had little impact. The similar protective associations among black and white women, despite differences in obesity, based on our stratified analyses of lactation support the associations. Although this study is not a randomized trial, our study evaluated reverse causation and potential confounding by characteristics antecedent to lactation and diabetes onset, especially biochemical measures before lactation that have not been available in previous studies.

The American Academy of Pediatrics and the American College of Obstetricians and Gynecologists recommend breastfeeding for 1 year, but 70% of women in high or middle income countries do not achieve this duration. In the United States, only 55% are still breastfeeding at 6 months, which drops to 33% at 1 year postpartum. Black women are less likely to breastfeed regardless of socioeconomic status or body size, and only 35% breastfeed for 6 months, indicating cultural barriers to breastfeeding. These racial disparities in breastfeeding adversely affect both maternal and child health outcomes. Declining breastfeeding rates are reported in nations transitioning to higher economic levels, particularly South Asia, which is at the center of the worldwide diabetes epidemic. Suboptimal lactation has been linked to substantially higher health care costs related to preventable diseases such as heart disease and cancer, according to a cost-benefit analysis. For diabetes, cost savings were much lower, because all studies focused on older women, and few included any younger women. Breastfeeding offers numerous other health benefits to both mother and child, including reduction in childhood infectious diseases, asthma and type 2 diabetes, as well as lower risk of breast and ovarian cancer in women.

Conclusions

Our findings may have implications for social policies to extend paid maternity leave to achieve higher intensity and longer duration of breastfeeding. Second, increased allocation of health care resources to increase breastfeeding rates through the first year postdelivery may be offset by lower health care costs associated with prevention of chronic disease in women. It is also imperative to improve breastfeeding practices to interrupt the transgenerational transmission of obesity-related diseases. Lactation is a natural biological process with the enormous potential to provide long-term benefits to maternal health, but has been underappreciated as a potential key strategy for early primary prevention of metabolic diseases in women across the childbearing years and beyond.

Supplement.

eFigure 1. Sample Selection Flow diagram: 1,238 of 2,787 CARDIA Black and White women aged 18 to 30 years at baseline, and without diabetes prior to one or more live, post-baseline births during the 30-Year follow-up (1986 to 2016) and cases of incident diabetes.

eFigure 2. Mean weight gain (kg) from baseline to end of follow-up (1986-2016; 30 years) among lactation categories and by incident diabetes status (Incident diabetes n =182, No diabetes n =1,156). Mean weight gain associated with lactation duration categories (p-value<0.001) did not differ for women with incident diabetes and without diabetes (p-interaction=0.99).

eFigure 3. Unadjusted and fully adjusted associations for covariates with the relative hazards of incident diabetes during the 30-year follow up period (1986-2016).

eTable 1. Baseline Characteristics (1985-1986) by Lactation Duration Categories (n=1,238)

eTable 2. Characteristics by Lactation Duration Categories (n =1,238 parous women) during the 30-Year Follow Up (1986 to 2016).

eTable 3. Unadjusted and Adjusted Relative Hazards (95%CI) of Incident Type 2 Diabetes during 30 Years of Follow up Among Lactation Duration Categories on Women Nulliparous at Baseline (n=848 total nulliparous women)

eTable 4. Unadjusted and Adjusted Relative Hazards (95%CI) of Incident Diabetes in Women per month of Lactation during 30-Year Follow up for All Women, and Stratified by Black Women and White Women. (Interaction p-value = 0.137)

References

  • 1.Freinkel N. Banting Lecture 1980. Of pregnancy and progeny. Diabetes. 1980;29(12):1023-1035. [DOI] [PubMed] [Google Scholar]
  • 2.Butte NF, Hopkinson JM, Mehta N, Moon JK, Smith EO. Adjustments in energy expenditure and substrate utilization during late pregnancy and lactation. Am J Clin Nutr. 1999;69(2):299-307. [DOI] [PubMed] [Google Scholar]
  • 3.Hubinont CJ, Balasse H, Dufrane SP, et al. . Changes in pancreatic B cell function during late pregnancy, early lactation and postlactation. Gynecol Obstet Invest. 1988;25(2):89-95. [DOI] [PubMed] [Google Scholar]
  • 4.Tigas S, Sunehag A, Haymond MW. Metabolic adaptation to feeding and fasting during lactation in humans. J Clin Endocrinol Metab. 2002;87(1):302-307. [DOI] [PubMed] [Google Scholar]
  • 5.Gunderson EP, Jacobs DR Jr, Chiang V, et al. . Duration of lactation and incidence of the metabolic syndrome in women of reproductive age according to gestational diabetes mellitus status: a 20-Year prospective study in CARDIA (Coronary Artery Risk Development in Young Adults). Diabetes. 2010;59(2):495-504. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Neville CE, McKinley MC, Holmes VA, Spence D, Woodside JV. The relationship between breastfeeding and postpartum weight change--a systematic review and critical evaluation. Int J Obes (Lond). 2014;38(4):577-590. [DOI] [PubMed] [Google Scholar]
  • 7.Stuebe AM, Rich-Edwards JW, Willett WC, Manson JE, Michels KB. Duration of lactation and incidence of type 2 diabetes. JAMA. 2005;294(20):2601-2610. [DOI] [PubMed] [Google Scholar]
  • 8.Villegas R, Gao YT, Yang G, et al. . Duration of breast-feeding and the incidence of type 2 diabetes mellitus in the Shanghai Women’s Health Study. Diabetologia. 2008;51(2):258-266. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Jäger S, Jacobs S, Kröger J, et al. . Breast-feeding and maternal risk of type 2 diabetes: a prospective study and meta-analysis. Diabetologia. 2014;57(7):1355-1365. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Aune D, Norat T, Romundstad P, Vatten LJ. Breastfeeding and the maternal risk of type 2 diabetes: a systematic review and dose-response meta-analysis of cohort studies. Nutr Metab Cardiovasc Dis. 2014;24(2):107-115. [DOI] [PubMed] [Google Scholar]
  • 11.Bellamy L, Casas JP, Hingorani AD, Williams D. Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis. Lancet. 2009;373(9677):1773-1779. [DOI] [PubMed] [Google Scholar]
  • 12.Victora CG, Bahl R, Barros AJ, et al. ; Lancet Breastfeeding Series Group . Breastfeeding in the 21st century: epidemiology, mechanisms, and lifelong effect. Lancet. 2016;387(10017):475-490. [DOI] [PubMed] [Google Scholar]
  • 13.Gunderson EP, Hurston SR, Ning X, et al. ; Study of Women, Infant Feeding and Type 2 Diabetes After GDM Pregnancy Investigators . Lactation and progression to type 2 diabetes mellitus after gestational diabetes mellitus: a prospective cohort study. Ann Intern Med. 2015;163(12):889-898. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Friedman GD, Cutter GR, Donahue RP, et al. . CARDIA: study design, recruitment, and some characteristics of the examined subjects. J Clin Epidemiol. 1988;41(11):1105-1116. [DOI] [PubMed] [Google Scholar]
  • 15.Cutter GR, Burke GL, Dyer AR, et al. . Cardiovascular risk factors in young adults. The CARDIA baseline monograph. Control Clin Trials. 1991;12(1)(suppl):1S-77S. [DOI] [PubMed] [Google Scholar]
  • 16.Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28(7):412-419. [DOI] [PubMed] [Google Scholar]
  • 17.Grundy SM, Cleeman JI, Daniels SR, et al. ; American Heart Association; National Heart, Lung, and Blood Institue . Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute scientific statement. executive summary. Cardiol Rev. 2005;13(6):322-327. [PubMed] [Google Scholar]
  • 18.American Diabetes Association Diagnosis and classification of diabetes mellitus. Diabetes Care. 2010;33(suppl 1):S62-S69. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Expert Committee on the Diagnosis and Classification of Diabetes Mellitus Report of the expert committee on the diagnosis and classification of diabetes mellitus. Diabetes Care. 2000;23(suppl 1):S4-S19. [PubMed] [Google Scholar]
  • 20.Gunderson EP, Chiang V, Lewis CE, et al. . Long-term blood pressure changes measured from before to after pregnancy relative to nonparous women. Obstet Gynecol. 2008;112(6):1294-1302. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Gunderson EP, Lewis CE, Tsai AL, et al. . A 20-year prospective study of childbearing and incidence of diabetes in young women, controlling for glycemia before conception: the Coronary Artery Risk Development in Young Adults (CARDIA) Study. Diabetes. 2007;56(12):2990-2996. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.McDonald A, Van Horn L, Slattery M, et al. . The CARDIA dietary history: development, implementation, and evaluation. J Am Diet Assoc. 1991;91(9):1104-1112. [PubMed] [Google Scholar]
  • 23.Sijtsma FP, Meyer KA, Steffen LM, et al. . Diet quality and markers of endothelial function: the CARDIA study. Nutr Metab Cardiovasc Dis. 2014;24(6):632-638. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Anderssen N, Jacobs DR Jr, Sidney S, et al. . Change and secular trends in physical activity patterns in young adults: a seven-year longitudinal follow-up in the Coronary Artery Risk Development in Young Adults Study (CARDIA). Am J Epidemiol. 1996;143(4):351-362. [DOI] [PubMed] [Google Scholar]
  • 25.Prentice RL, Gloeckler LA. Regression analysis of grouped survival data with application to breast cancer data. Biometrics. 1978;34(1):57-67. [PubMed] [Google Scholar]
  • 26.Ziegler AG, Wallner M, Kaiser I, et al. . Long-term protective effect of lactation on the development of type 2 diabetes in women with recent gestational diabetes mellitus. Diabetes. 2012;61(12):3167-3171. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Manson JE, Rimm EB, Colditz GA, et al. . Parity and incidence of non-insulin-dependent diabetes mellitus. Am J Med. 1992;93(1):13-18. [DOI] [PubMed] [Google Scholar]
  • 28.Cowie CC, Rust KF, Byrd-Holt DD, et al. . Prevalence of diabetes and impaired fasting glucose in adults in the U.S. population: National Health And Nutrition Examination Survey 1999-2002. Diabetes Care. 2006;29(6):1263-1268. [DOI] [PubMed] [Google Scholar]
  • 29.Motil KJ, Thotathuchery M, Montandon CM, et al. . Insulin, cortisol and thyroid hormones modulate maternal protein status and milk production and composition in humans. J Nutr. 1994;124(8):1248-1257. [DOI] [PubMed] [Google Scholar]
  • 30.Knopp RH, Walden CE, Wahl PW, et al. . Effect of postpartum lactation on lipoprotein lipids and apoproteins. J Clin Endocrinol Metab. 1985;60(3):542-547. [DOI] [PubMed] [Google Scholar]
  • 31.Ramos-Román MA. Prolactin and lactation as modifiers of diabetes risk in gestational diabetes. Horm Metab Res. 2011;43(9):593-600. [DOI] [PubMed] [Google Scholar]
  • 32.Drynda R, Peters CJ, Jones PM, Bowe JE. The role of non-placental signals in the adaptation of islets to pregnancy. Horm Metab Res. 2015;47(1):64-71. [DOI] [PubMed] [Google Scholar]
  • 33.Retnakaran R, Ye C, Kramer CK, et al. . Maternal serum prolactin and prediction of postpartum beta-cell function and risk of prediabetes/diabetes. Diabetes Care. 2016;39(7):1250-1258. [DOI] [PubMed] [Google Scholar]
  • 34.Butte NF, King JC. Energy requirements during pregnancy and lactation. Public Health Nutr. 2005;8(7A):1010-1027. [DOI] [PubMed] [Google Scholar]
  • 35.Rebuffé-Scrive M, Enk L, Crona N, et al. . Fat cell metabolism in different regions in women. Effect of menstrual cycle, pregnancy, and lactation. J Clin Invest. 1985;75(6):1973-1976. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.McClure CK, Catov J, Ness R, Schwarz EB. Maternal visceral adiposity by consistency of lactation. Matern Child Health J. 2012;16(2):316-321. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Butte NF, Hopkinson JM. Body composition changes during lactation are highly variable among women. J Nutr. 1998;128(2)(suppl):381S-385S. [DOI] [PubMed] [Google Scholar]
  • 38.Knowler WC, Barrett-Connor E, Fowler SE, et al. ; Diabetes Prevention Program Research Group . Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med. 2002;346(6):393-403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Matias SL, Dewey KG, Quesenberry CP Jr, Gunderson EP. Maternal prepregnancy obesity and insulin treatment during pregnancy are independently associated with delayed lactogenesis in women with recent gestational diabetes mellitus. Am J Clin Nutr. 2014;99(1):115-121. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Rasmussen KM, Hilson JA, Kjolhede CL. Obesity may impair lactogenesis II. J Nutr. 2001;131(11):3009S-3011S. [DOI] [PubMed] [Google Scholar]
  • 41.Nommsen-Rivers LA. Does insulin explain the relation between maternal obesity and poor lactation outcomes? an overview of the literature. Adv Nutr. 2016;7(2):407-414. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Dewey KG, Nommsen-Rivers LA, Heinig MJ, Cohen RJ. Risk factors for suboptimal infant breastfeeding behavior, delayed onset of lactation, and excess neonatal weight loss. Pediatrics. 2003;112(3 Pt 1):607-619. [DOI] [PubMed] [Google Scholar]
  • 43.Kair LR, Colaizy TT. Obese mothers have lower odds of experiencing pro-breastfeeding hospital practices than mothers of normal weight: CDC Pregnancy Risk Assessment Monitoring System (PRAMS), 2004-2008. Matern Child Health J. 2016;20(3):593-601. [DOI] [PubMed] [Google Scholar]
  • 44.Krause KM, Lovelady CA, Østbye T. Predictors of breastfeeding in overweight and obese women: data from Active Mothers Postpartum (AMP). Matern Child Health J. 2011;15(3):367-375. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Li R, Scanlon KS, Serdula MK. The validity and reliability of maternal recall of breastfeeding practice. Nutr Rev. 2005;63(4):103-110. [DOI] [PubMed] [Google Scholar]
  • 46.Natland ST, Andersen LF, Nilsen TI, Forsmo S, Jacobsen GW. Maternal recall of breastfeeding duration twenty years after delivery. BMC Med Res Methodol. 2012;12(1):179. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.American Academy of Pediatrics. Policy Statement: Section on Breastfeeding Breastfeeding and the use of human milk. Pediatrics. 2012;129(3):e827-e841. [DOI] [PubMed] [Google Scholar]
  • 48.Committee on Health Care for Underserved Women, American College of Obstetricians and Gynecologists ACOG Committee Opinion No. 361: Breastfeeding: maternal and infant aspects. Obstet Gynecol. 2007;109(2 Pt 1):479-480. [DOI] [PubMed] [Google Scholar]
  • 49.Centers for Disease Control and Prevention Breastfeeding Among U.S. Children Born 2001-2011, CDC National Immunization Survey. 2014. https://www.cdc.gov/breastfeeding/data/nis_data/. Accessed November 29, 2017.
  • 50.Kugyelka JG, Rasmussen KM, Frongillo EA. Maternal obesity is negatively associated with breastfeeding success among Hispanic but not Black women. J Nutr. 2004;134(7):1746-1753. [DOI] [PubMed] [Google Scholar]
  • 51.McGuire S. The Surgeon General’s Call to Action to Support Breastfeeding. Washington, DC; Centers for Disease Control and Prevention; 2011. [Google Scholar]
  • 52.Patel A, Badhoniya N, Khadse S, Senarath U, Agho KE, Dibley MJ; South Asia Infant Feeding Research Netwoork . Infant and young child feeding indicators and determinants of poor feeding practices in India: secondary data analysis of National Family Health Survey 2005-06. Food Nutr Bull. 2010;31(2):314-333. [DOI] [PubMed] [Google Scholar]
  • 53.Bartick MC, Stuebe AM, Schwarz EB, Luongo C, Reinhold AG, Foster EM. Cost analysis of maternal disease associated with suboptimal breastfeeding. Obstet Gynecol. 2013;122(1):111-119. [DOI] [PubMed] [Google Scholar]
  • 54.Horta BL, Loret de Mola C, Victora CG. Long-term consequences of breastfeeding on cholesterol, obesity, systolic blood pressure and type 2 diabetes: a systematic review and meta-analysis. Acta Paediatr. 2015;104(467):30-37. [DOI] [PubMed] [Google Scholar]
  • 55.Dieterich CM, Felice JP, O’Sullivan E, Rasmussen KM. Breastfeeding and health outcomes for the mother-infant dyad. Pediatr Clin North Am. 2013;60(1):31-48. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplement.

eFigure 1. Sample Selection Flow diagram: 1,238 of 2,787 CARDIA Black and White women aged 18 to 30 years at baseline, and without diabetes prior to one or more live, post-baseline births during the 30-Year follow-up (1986 to 2016) and cases of incident diabetes.

eFigure 2. Mean weight gain (kg) from baseline to end of follow-up (1986-2016; 30 years) among lactation categories and by incident diabetes status (Incident diabetes n =182, No diabetes n =1,156). Mean weight gain associated with lactation duration categories (p-value<0.001) did not differ for women with incident diabetes and without diabetes (p-interaction=0.99).

eFigure 3. Unadjusted and fully adjusted associations for covariates with the relative hazards of incident diabetes during the 30-year follow up period (1986-2016).

eTable 1. Baseline Characteristics (1985-1986) by Lactation Duration Categories (n=1,238)

eTable 2. Characteristics by Lactation Duration Categories (n =1,238 parous women) during the 30-Year Follow Up (1986 to 2016).

eTable 3. Unadjusted and Adjusted Relative Hazards (95%CI) of Incident Type 2 Diabetes during 30 Years of Follow up Among Lactation Duration Categories on Women Nulliparous at Baseline (n=848 total nulliparous women)

eTable 4. Unadjusted and Adjusted Relative Hazards (95%CI) of Incident Diabetes in Women per month of Lactation during 30-Year Follow up for All Women, and Stratified by Black Women and White Women. (Interaction p-value = 0.137)


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