Duration of breast-feeding and the incidence of type 2 diabetes mellitus in the Shanghai Women's Health Study.

AIMS/HYPOTHESIS: The aim of this study was to examine the association between lifetime breast-feeding and the incidence of type 2 diabetes mellitus in a large population-based cohort study of middle-aged women.
METHODS: This was a prospective study of 62,095 middle-aged parous women in Shanghai, China, who had no prior history of type 2 diabetes mellitus, cancer or cardiovascular disease at study recruitment. Breast-feeding history, dietary intake, physical activity and anthropometric measurements were assessed by in-person interviews. The Cox regression model was employed to evaluate the association between breast-feeding and the risk of type 2 diabetes mellitus.
RESULTS: After 4.6 years of follow-up, 1,561 women were diagnosed with type 2 diabetes mellitus. Women who had breastfed their children tended to have a lower risk of diabetes mellitus than those who had never breastfed [relative risk (RR)=0.88; 95% CI, 0.76-1.02; p=0.08]. Increasing duration of breast-feeding was associated with a reduced risk of type 2 diabetes mellitus. The fully adjusted RRs for lifetime breast-feeding duration were 1.00, 0.88, 0.89, 0.88, 0.75 and 0.68 (p trend=0.01) for 0, >0 to 0.99, >0.99 to 1.99, >1.99 to 2.99, >2.99 to 3.99 and >or=4 years in analyses adjusted for age, daily energy intake, BMI, WHR, smoking, alcohol intake, physical activity, occupation, income level, education level, number of live births and presence of hypertension at baseline. CONCLUSIONS/
INTERPRETATION: Breast-feeding may protect parous women from developing type 2 diabetes mellitus later in life.

Introduction

The prevalence of type 2 diabetes mellitus has been increasing rapidly worldwide [1], making knowledge of risk factors and protective factors associated with type 2 diabetes mellitus essential for the development of prevention strategies.

Results from animal and human studies suggest an improvement in glucose and insulin sensitivity during lactation [2-5]. Data from two large cohorts in the USA also indicate that longer duration of breast-feeding may reduce the risk of type 2 diabetes mellitus by improving glucose homeostasis [6].

We examined the association between lifetime breast-feeding and the incidence of type 2 diabetes mellitus in a large population-based cohort study of middle-aged women, the Shanghai Women’s Health Study (SWHS).

Methods

Study population The SWHS is a population-based prospective cohort study of middle-aged women (40–70 years old) conducted in seven urban communities of Shanghai, China. Details of the SWHS survey have been reported elsewhere [7]. From a total of 81,170 women who were invited to participate, 75,221 were recruited (92.7% participation rate). Reasons for non-participation were refusal (3.0%), absence during the enrolment period (2.6%) and other reasons (health, hearing, speaking problems; 1.6%). After exclusion of women younger than 40 years or older than 70 years at the time of interview (n = 278), 74,942 women remained for the study. Participants completed a detailed survey as part of an in-person interview, which included assessment of dietary intake, physical activity, measurement of anthropometrics and other lifestyle factors. The original questionnaires, in Chinese, are available from the corresponding author upon request. Protocols for the SWHS were approved by the Institutional Review Boards of all institutes involved in the study and written informed consent was obtained prior to interview. Biannual in-person follow-up of all living cohort members was conducted by in-home visit from 2000 to 2002 and from 2002 to 2004, with a response rate of 99.8 and 98.7%, respectively; only 934 participants were lost to follow-up.

Outcome ascertainment Incident type 2 diabetes mellitus was identified through follow-up surveys. A total of 1,561 parous women reported a type 2 diabetes mellitus diagnosis since the baseline survey. For the current study we considered a case of type 2 diabetes mellitus to be confirmed if the participants reported having been diagnosed with type 2 diabetes mellitus and met at least one of the following criteria: fasting glucose level ≥7 mmol/l on at least two separate occasions or an oral glucose tolerance test with a value ≥11.1 mmol/l and/or use of hypoglycaemic medication (i.e. insulin or oral hypoglycaemic drugs). All tests were performed as part of patients’ primary care. Of the self-reported cases, a total of 869 participants met the study outcome criteria and are referred to herein as confirmed cases of type 2 diabetes mellitus. We performed analyses restricted to confirmed cases as well as analyses including all cases of type 2 diabetes mellitus.

Breast-feeding duration assessment Information on each pregnancy was obtained during the in-person interview. This included date and outcome of each pregnancy and whether and for how long the participant breastfed each child. Based on this information, we calculated the duration of breast-feeding (months and years) and duration of breast-feeding per live birth (years).

Measurement of potential confounders Anthropometric measurements were taken at baseline recruitment according to a standard protocol by trained interviewers who were retired medical professionals [8]. Self-reported body weight history was obtained for ages 20 and 40 years and at baseline recruitment. We calculated BMI (weight in kg divided by the square of height in m), WHR (waist circumference divided by hip circumference) and standardised weight change (difference between measured weight at baseline and weight at 20 years divided by the interval between study recruitment and 20 years; kg/year).A structured questionnaire was used at the baseline survey to collect information on socio-demographic factors such as age, level of education (none, elementary school, middle/high school, college), family income in yuan per year (<10,000, 10,000–19,999, 20,000–29,999, >30,000), occupation (professional, clerical, manual labour/other, housewife/retired), smoking (smoked at least one cigarette per day for more than 6 months continuously) and alcohol consumption (had ever drunk beer, wine or spirits at least three times per week). History of diseases such as diabetes, cancer, cardiovascular disease and high blood pressure was also collected.Information on physical activity was obtained using a validated questionnaire [9]. The questionnaire evaluated exercise and sport participation, daily activity and daily commuting round-trip journey to work. We calculated the metabolic equivalents (METs) for each activity, using a compendium of physical activity values [10]. We derived a quantitative estimate of overall non-occupational activity (MET-h per day).Dietary intake was assessed through an in-person interview using a validated food frequency questionnaire at the baseline recruitment survey and at the first follow-up survey [11]. The Chinese food composition tables [12] were used to estimate energy intake (kJ/day).

Statistical analysis Person-years for each participant were calculated as the interval between the baseline recruitment to one of the following: diagnosis of type 2 diabetes mellitus; censored at death; or completion of the second follow-up survey.The Cox proportional hazards model was used to assess the effect of breast-feeding on the incidence of type 2 diabetes mellitus. Tests for trend were performed by entering the categorical variables as continuous parameters in the models. In all models, we adjusted for the following potential confounding variables: age, BMI, WHR, total energy, physical activity, number of live births (entered as continuous variables), income level, education level, occupation, smoking status, alcohol consumption status and presence of hypertension at baseline (as categorical variables).We also derived a propensity score by regressing breast-feeding (yes/no) on risk factors for type 2 diabetes mellitus (age, daily energy intake, BMI, WHR, smoking, alcohol consumption, physical activity, hypertension, income, education level, occupation status, oral contraceptive use, vegetable intake, legume intake, meat intake and staples intake). We then examined the association between breast-feeding (yes/no) and type 2 diabetes mellitus by including the propensity score in the Cox proportional hazard model. All analyses were performed using SAS (version 9.1, SAS Institute, Cary, NC, USA), and all tests of statistical significance were based on two-sided probability. A p value of less than 0.05 was considered statistically significant.

Results

The average age of the entire SWHS cohort (n = 74,942) was 52.1 (SD = 9.1). The average age at first pregnancy was 25.5 years (median: 25.7 years) and the median number of live births was 1.0. A total of 3.3% women had no children, 54.4% had only one child, 21.2% had two children, 10.5% had three children, 6.2% had four children and 4.3% had five or more children. The incidence of diabetes mellitus was 6.0 cases per 1,000 person-years at risk.

There were 62,095 parous women in this study with no prior history of type 2 diabetes mellitus, cancer or cardiovascular disease at study recruitment; of these 50,700 (81.65%) reported having breastfed their children. The average number of live births was 1.7, the average number of months of breast-feeding was 14.6 and the average number of years of breast-feeding per child was 0.6. The number of live births was associated with months of breast-feeding (Spearman correlation coefficient, 0.70; p < 0.001). Age-standardised characteristics of the study population by duration of breast-feeding are shown in Table 1. Women with a longer duration of breast-feeding were older, had less education, lower income and were less likely to be employed at the time of the survey or to hold a professional job. Duration of breast-feeding was also associated with smoking and higher physical activity in this population. We did not find an association between differences in participation in exercise or prevalence of hypertension at baseline and duration of breast-feeding (p > 0.05).

Table 1

Age-standardised characteristics of parous women in the Shanghai Women’s Health Study by duration of breast-feeding

	Duration of breast-feeding (months)
	0	>0 to 6	>6 to 11	>11 to 35	≥36	p value for trenda
Women (n)	11,395	10,463	14,958	18,144	7,135
Cases of diabetes (n)	225	163	253	585	335
Person-years (n)	53,038	48,770	69,741	83,870	32,535
<10 years since last pregnancy (%)	26.9	21.9	28.9	18.6	3.7
Age, median (Q25–Q75)	45 (42–49)	45 (42–49)	45 (42–49)	54 (49–61)	64 (62–67)	<0.001
Energy intake, mean kJ/day (SE)	6,875 (14)	6,927 (15)	6,920 (13)	6,985 (11)	6,738 (21)	<0.001
Live births, median (Q25–Q75)	1 (1–1)	1 (1–1)	1 (1–1)	2 (1–2)	4 (3–5)	<0.001
BMI, mean kg/m2 (SE)	23.4 (0.03)	23.2 (0.03)	23.6 (0.03)	24.2 (0.02)	24.7 (0.04)	<0.001
WHR, mean (SE)	0.80 (0.0005)	0.8 (0.0005)	0.80 (0.0005)	0.81 (0.004)	0.82 (0.007)	<0.001
Weight gain, mean kg/year (SE)	0.34 (0.003)	0.31 (0.003)	0.33 (0.003)	0.36 (0.003)	0.37 (0.005)	<0.001
Weight at age 20 years, median kg (Q25–Q75)	48 (45–53)	49 (45–53)	50 (45–54)	50 (45–54)	50 (45–55)	<0.001
Smoker (%)	1.7 (1.5–1.9)	1.4 (1.2–1.9)	1.5 (1.3–1.7)	2.4 (2.3–2.5)	3.6 (3.2–4.0)	<0.001
Ever drinker (%)	1.9 (1.7–2.1)	2.1 (1.9–2.3)	2.1 (1.9–2.3)	2.4 (2.3–2.5)	1.9 (1.7–2.1)	<0.001
Exercise (%)	30.5 (29.5–31.5)	32.9 (31.9–33.9)	34.3 (33.3–35.3)	33.7 (32.7–34.7)	31.4 (30.4–32.4)	0.18
High physical activityb (%)	22.8 (22.0–23.6)	22.1 (21.3–22.9)	24.4 (21.6–25.2)	27.3 (26.9–27.7)	41.2 (40.2–42.2)	<0.001
Education (%)
None	11.0 (12.4–11.6)	8.5 (7.9–9.1)	9.6 (9.0–10.2)	17.8 (17.4–18.2)	41.2 (40.2–42.2)	<0.001
Elementary	38.2 (37.2–39.2)	34.4 (33.4–35.4)	39.2 (38.2–40.2)	44.3 (43.8–44.8)	46.9 (47.9–48.9)
Middle/high school	32.5 (31.5–33.5)	34.3 (33.3–35.3)	32.4 (31.4–33.4)	27.1 (26.7–27.5)	8.6 (8.0–9.2)
College	18.3 (17.5–19.1)	22.7 (21.9–23.5)	18.8 (18.0–19.6)	10.8 (10.5–11.1)	3.3 (2.9–3.7)
Household income (%)
<10,000 yuan	14.0 (13.4–14.6)	11.6 (11.0–12.2)	12.6 (12.0–13.2)	15.6 (15.3–15.9)	22.1 (21.3–22.9)	<0.001
10,000–19,999 yuan	38.8 (37.8–39.8)	35.8 (34.8–36.8)	37.1 (36.1–38.1)	38.0 (37.5–38.5)	38.7 (37.7–39.7)
20,000–29,999 yuan	29.4 (28.5–30.3)	31.3 (30.3–32.3)	30.4 (29.4–31.4)	28.6 (28.2–29.0)	27.8 (27.0–28.6)
>30,000 yuan	17.8 (17.0–18.6)	21.4 (20.6–22.4)	19.8 (19.0–20.6)	17.8 (17.4–18.2)	11.4 (10.8–12.0)
Occupation (%)
Professional	21.6 (20.8–22.4)	25.9 (25.1–26.7)	22.2 (21.4–23.0)	16.4 (15.6–17.2)	6.8 (6.2–7.4)	<0.001
Clerical	12.8 (12.2–13.4)	12.4 (11.6–12.8)	13.2 (12.6–13.8)	13.7 (13.4–14.0)	19.5 (18.7–20.3)
Manual labour/others	21.8 (21.0–22.6)	21.0 (20.2–21.8)	23.1 (22.3–23.9)	23.6 (23.2–24.0)	20.0 (19.2–20.8)
Housewife/retired	43.8 (42.8–44.8)	40.7 (39.7–41.7)	41.6 (40.6–42.6)	46.3 (45.8–46.8)	53.6 (52.6–54.6)
Hypertension (%)	18.4 (17.6–19.2)	18.3 (17.5–19.1)	18.8 (18.0–19.6)	19.8 (19.4–20.2)	16.6 (15.8–17.4)	0.12

Data are presented as n, percent, median (Q25–Q75, interquartile range) and mean (SE), and are directly standardised in years to the age distribution of the population

Means of energy intake, BMI, WHR and standard weight are adjusted by age

Weight at 20 years and number of live births were not normally distributed and could not be adjusted for age

ap values for trend were calculated by: proportional odds model for prevalence of population characteristics; ANOVA test for daily energy intake, BMI, WHR and standard weight gain; and Kruskal–Wallis test for age, number of live births and weight at 20 years

bHigh physical activity: participants in the upper quartile of total METs

Women who had breastfed tended to have a lower risk of type 2 diabetes mellitus [relative risk (RR) = 0.88; 95% CI, 0.76–1.02; p = 0.08] than women who had never breastfed, in analyses adjusted for age, daily energy intake, BMI, WHR, number of live births, occupation, income levels, education, smoking, alcohol consumption, physical activity and presence of hypertension (Table 2). When we adjusted the analysis by a propensity score of predictors of type 2 diabetes mellitus, the RR was 0.81 (95% CI, 0.70–0.94; p < 0.01).

Table 2

Associations between type 2 diabetes mellitus and duration of breast-feeding for all participants, Shanghai Women’s Health Study

	%	Cases per person-years	RR	95% CI	p value for trend
Breast-feeding
No	18.35	225/53,038	1.00
Yes	81.65	1,336/234,916	0.88	0.76–1.02
Duration of breast-feeding
Years
0	18.35	225/53,038	1.00		0.01
>0–0.99	47.99	416/118,511	0.88	0.75–1.04
>0.99–1.99	17.31	343/57,418	0.89	0.75–1.06
>1.99–2.99	7.57	242/26,451	0.88	0.71–1.07
>2.99–3.99	4.15	148/14,929	0.75	0.59–0.96
≥4	4.63	187/17,606	0.68	0.52–0.90
Years per child
0	18.35	225/53,038	1.00		0.11
>0–0.49	15.10	200/43,615	0.91	0.75–1.10
>0.49–0.99	44.20	659/127,453	0.87	0.74–1.02
≥1	22.35	477/63,848	0.87	0.78–1.03

Values are adjusted for age, daily energy intake, BMI, WHR, number of live births, smoking, alcohol consumption, physical activity, education, income, occupation and hypertension

The duration of breast-feeding and duration of breast-feeding per child were associated with a lower risk of type 2 diabetes mellitus (Table 2). The fully adjusted RR for 0, >0 to 0.99, >0.99 to 1.99, >1.99 to 2.99, >2.99 to 3.99 and ≥4 years of breast-feeding with the risk of type 2 diabetes mellitus were 1.00, 0.88, 0.89, 0.88, 0.75 and 0.68. The fully adjusted RR between years of breast-feeding per child and type 2 diabetes mellitus risk were 1.00, 0.91, 0.87 and 0.87 (p = 0.11 for trend) for 0, >0 to 0.49, >0.49 to 0.99 and ≥1 years of breast-feeding per number of births. Associations between months of breast-feeding and incidence of type 2 diabetes mellitus are presented in Table 3. BMI and WHR are the two major confounding factors for the association between the duration of breast-feeding and risk of type 2 diabetes mellitus. Both BMI and WHR were weakly correlated with breast-feeding (r = 0.22 and 0.22, respectively). The correlation between BMI and WHR was 0.46. The association between the duration of breast-feeding and diabetes mellitus was accentuated and the trend was only marginally significant when we adjusted the model for BMI. Additional adjustment for WHR resulted in the trend becoming statistically significant (p = 0.04). The association between breast-feeding and type 2 diabetes mellitus did not change much after adjustment for number of live births. When we restricted the analysis of breast-feeding and incidence of type 2 diabetes to confirmed cases of type 2 diabetes mellitus, we found similar patterns of association (Table 4).

Table 3

Incidence of type 2 diabetes by duration of breast-feeding, Shanghai Women’s Health Study

	0		>0 to 6 months		>6 to 11 months		>11 to 35 months		≥36 months
	RR	95% CI	RR	95% CI	RR	95% CI	RR	95% CI	RR	95% CI	p value for trend
Model 1	1.00		0.81	0.66–0.99	0.88	0.74–1.07	1.08	0.92–1.27	1.03	0.84–1.25	0.20
Model 2	1.00		0.84	0.69–1.03	0.89	0.74–1.07	0.99	0.85–1.18	0.88	0.71–1.08	0.75
Model 3	1.00		0.84	0.69–1.03	0.88	0.73–1.05	0.90	0.76–1.05	0.76	0.62–0.93	0.06
Model 4	1.00		0.87	0.71–1.06	0.91	0.76–1.09	0.98	0.83–1.15	0.84	0.68–1.03	0.39
Model 5	1.00		0.89	0.71–1.06	0.89	0.74–1.07	0.89	0.76–1.05	0.75	0.61–0.92	0.04
Model 6	1.00		0.87	0.71–1.06	0.89	0.75–1.07	0.89	0.75–1.05	0.73	0.58–0.91	0.05

Model 1 age-adjusted only; Model 2: age plus other confounders, but not BMI, WHR or number of live births; Model 3: model 2 plus BMI; Model 4: model 2 plus WHR; Model 5: model 2 plus BMI and WHR; Model 6: model 5 plus number of live births

Table 4

Associations between type 2 diabetes mellitus and duration of breast-feeding, Shanghai Women’s Health Study (confirmed cases of diabetes only)

	%	Cases per person-years	RR	95% CI	p value
Breast-feeding
No	18.40	128/52,848	1.00		0.17
Yes	81.60	741/233,836	0.87	0.72–1.06
Duration of breast-feeding
Months
0	18.40	128/52,848	1.00		0.17
>0–6	16.91	86/48,617	0.80	0.61–1.05
>6–11	24.21	159/69,558	0.98	0.77–1.24
>11–35	29.11	314/83,398	0.84	0.68–1.05
>36	11.37	182/32,263	0.74	0.55–1.01
Years
0	18.40	128/52,848	1.00		0.01
>0–0.99	48.20	297/11,817	0.91	0.73–1.13
>0.99–1.99	17.25	200/57,156	0.90	0.72–1.13
>1.99–2.99	7.48	99/26,242	0.72	0.54–0.95
>2.99–3.99	4.10	65/14,809	0.72	0.52–1.01
>4	4.57	78/17,454	0.67	0.46–0.96
Years per child
0	18.40	128/52,848	1.00		0.23
>0–0.49	15.13	116/43,443	0.94	0.73–1.21
>0.49–0.99	44.21	359/126,916	0.84	0.69–1.04
>1	22.25	266/63,447	0.88	0.70–1.11

Values are adjusted for age, daily energy intake, BMI, WHR, number of live births, smoking, alcohol consumption, physical activity, education, income, occupation and hypertension

In analyses restricted to women who reported having been pregnant within the last 10 years (Table 5), the RR for type 2 diabetes mellitus by the duration of breast-feeding per number of live births was 1.00, 1.01, 0.74 and 0.65; (p = 0.03 for trend) for 0, >0 to 0.49, >0.49 to 0.99 and ≥1 years of breast-feeding per number of live births. Among women who had been pregnant within the last 10 years, the RRs of type 2 diabetes mellitus for 0, >0 to 0.99, >0.99 to 1.99, >1.99 to 2.99, >2.99 to 3.99 and ≥4 years of breast-feeding were 1.00, 0.80, 0.78, 0.58, 0.47 and 0.45 (p = 0.04 for trend). The RRs of type 2 diabetes mellitus for 0, >0 to 0.99, >0.99 to 1.99, >1.99 to 2.99, >2.99 to 3.99 and ≥4 years of breast-feeding among women who had been pregnant within the last 5 years were 1.00, 0.87, 0.68, 0.44, 0.69 and ≥0.49 (p = 0.02 for trend; data not shown in tables). In addition, we found that the RRs for diabetes mellitus associated with ≥12 months of breast-feeding were 0.66 (95% CI, 0.45–0.95), 0.63 (95% CI, 0.40–0.98), 0.49 (95% CI, 0.28–0.85) and 0.46 (95% CI, 0.26–0.86), respectively, when analyses were conducted with time since last pregnancy defined as ≤13, ≤10, ≤5 and ≤2 years (data not shown). In analyses restricted to women who had not been pregnant in the last 10 years, we still found inverse associations between breast-feeding and risk of type 2 diabetes mellitus, although the associations between months of breast-feeding and years of breast-feeding per child were not significant. The association between years of breast-feeding and type 2 diabetes mellitus was of marginal significance. The RRs of type 2 diabetes mellitus for 0, >0 to 0.99, >0.99 to 1.99, >1.99 to 2.99, >2.99 to 3.99 and ≥4 years of breast-feeding were 1.00, 0.90, 0.94, 0.94, 0.79 and 0.72 (p = 0.06 for trend). Similar trends were found when the analysis was restricted to confirmed cases of type 2 diabetes mellitus. Finally, we found that the beneficial effect associated with the duration of breast-feeding was more evident among women over 60 years of age (data not shown).

Table 5

Duration of breast-feeding and risk of type 2 diabetes mellitus, Shanghai Women’s Health Study

	Time since last pregnancy
	≤10 years since last pregnancy			>10 years since last pregnancy
	RR	95% CI	p value for trend	RR	95% CI	p value for trend
All participants
Months
0	1.00		0.05	1.00		0.20
>0–6	0.90	0.57–1.42		0.88	0.70–1.10
>6–11	0.83	0.55–1.25		0.91	0.74–1.12
>11–35	0.63	0.40–0.98		0.94	0.79–1.13
≥36	0.66	0.30–1.48		0.76	0.60–0.97
Years
0	1.00		0.04	1.00		0.06
>0–0.99	0.87	0.60–1.24		0.90	0.75–1.08
>0.99–1.99	0.68	0.43–1.09		0.94	0.77–1.13
>1.99–2.99	0.44	0.21–0.92		0.94	0.76–1.17
>2.99–3.99	0.69	0.29–1.62		0.79	0.61–1.02
≥4	0.49	0.18–1.35		0.72	0.54–0.96
Years per child
0	1.00		0.03	1.00		0.45
>0 –0.49	1.00	0.64–1.59		0.91	0.74–1.13
>0.49–0.99	0.74	0.51–1.07		0.90	0.76–1.07
≥1	0.65	0.41–1.05		0.92	0.76–1.10
Confirmed diabetes only
Months
0	1.00		0.26	1.00		0.34
>0–6	0.80	0.41–1.53		0.81	0.60–1.09
>6–11	0.96	0.55–1.65		0.98	0.75–1.27
>11–35	0.69	0.39–1.22		0.87	0.69–1.11
>36	0.60	0.23–1.57		0.78	0.56–1.08
Years
0	1.00		0.10	1.00		0.06
>0–0.99	0.90	0.55–1.48		0.91	0.72–1.16
>0.99–1.99	0.80	0.44–1.44		0.93	0.72–1.19
>1.99–2.99	0.44	0.18–1.09		0.76	0.56–1.03
>2.99–3.99	0.53	0.17–1.59		0.77	0.54–1.09
>4	0.53	0.16–1.73		0.71	0.48–1.04
Years per child
0	1.00		0.25	1.00		0.44
>0–0.49	0.97	0.52–1.82		0.94	0.71–1.25
>0.49–0.99	0.81	0.49–1.33		0.86	0.68–1.08
>1	0.73	0.40–1.34		0.92	0.71–1.17

Values are adjusted for age, daily energy intake, BMI, WHR, number of live births, smoking, alcohol consumption, physical activity, education, income, occupation and hypertension

Discussion

In this large, prospective population-based study of middle-aged Chinese women, breast-feeding was associated with a reduced risk of type 2 diabetes mellitus [13] independently of known risk factors for type 2 diabetes mellitus.

Our study adds to the limited data on the association between breast-feeding and risk of type 2 diabetes mellitus in mothers. Longer duration of breast-feeding was associated with reduced incidence of type 2 diabetes mellitus in two large US cohorts of young and middle-aged women, the Nurses’ Health Studies I and II [6]. Similar to our results, the RRs in these studies for parous women with 0, >0 to 3 months, >3 to 6 months, >6 to 11 months, >11 to 23 months and ≥23 months of breast-feeding were 1.00, 0.98, 1.03, 0.96, 0.92 and 0.88 (p = 0.02 for trend) for middle-aged women and 1.00, 1.04, 0.91, 0.87, 0.88 and 0.67 (p < 0.01 for trend) for younger women. The RR for women who had breastfed compared with women who had never breastfed was 0.97 (95% CI, 0.91–1.02) for middle-aged women and 0.90 (95% CI, 0.77–1.04) for younger women. In agreement with our findings, these studies also found that the protection conferred by breast-feeding appeared to wane with time since last birth and that longer duration of breast-feeding per pregnancy was associated with a greater benefit. However, among women with gestational diabetes, breast-feeding was not associated with lower risk of type 2 diabetes mellitus later in life [6]. To our knowledge, no other studies have examined the long-term association between breast-feeding and subsequent development of type 2 diabetes mellitus.

In the Nurses’ Health Studies I and II, analyses were adjusted for participants’ birthweight and BMI at 18 years, as the investigators found that duration of breast-feeding was inversely related to BMI at 18 years [6]. In our study, we only had information on birthweight for a subset of participants. The correlation coefficients between duration of breast-feeding and both birthweight of participants and BMI at 20 years were 0.02 and 0.12, respectively. We chose to adjust for current BMI and WHR in our analysis, rather than BMI at 20 years or weight at 20 years, as BMI and WHR were strongly associated with type 2 diabetes mellitus. In addition, measurements used to calculate BMI and WHR in our study were taken by trained professionals at the time of the interview, while weight at 20 years was self-reported. In analyses adjusted for BMI at 20 years, the fully adjusted RRs for 0, >0 to 0.99, >0.99 to 1.99, >1.99 to 2.99, >2.99 to 3.99 and ≥4 years of breast-feeding were 1.00, 0.91, 1.02, 1.09, 0.77 and 0.73 (p = 0.30 for trend). We conducted additional analyses adjusting for standardised weight gain (kg per year) since age 20 years and weight at age 20 years. The fully adjusted RRs for 0, >0 to 0.99, >0.99 to 1.99, >1.99 to 2.99, >2.99 to 3.99 and ≥4 years of breast-feeding were 1.00, 0.90, 0.96, 0.99, 0.76 and 0.68 (p = 0.08 for trend).

It has been suggested that breast-feeding may protect against type 2 diabetes mellitus by facilitating weight loss, although the association between breast-feeding and weight loss remains inconclusive [14-20]. In our population, the age-adjusted means of standard weight gain since age 20 years by months of breast-feeding were 0.34, 0.31, 0.33, 0.36 and 0.37 kg per year for 0, >0 to 6 months, >6 to 11 months, >11 to 35 months and ≥36 months of breast-feeding, respectively (p < 0.01). Thus, weight loss is unlikely to be the reason for the inverse association between breast-feeding and type 2 diabetes mellitus observed in our study.

Another possible mechanism is that breast-feeding may improve insulin sensitivity and glucose intolerance. In a study of both breast-feeding and non-breast-feeding non-diabetic women, insulin levels and insulin/glucose ratios were lower, while carbohydrate use and total energy expenditure were higher in the breast-feeding group [21]. Data from studies of women with gestational diabetes suggest that breast-feeding affects insulin and glucose homeostasis. In a study of 809 Latina women, breast-feeding was associated with improved glucose tolerance, fasting glucose and total area under the glucose tolerance curve [2], while in another study of 26 white women (14 breast-feeding, 12 non-breast-feeding), the breast-feeding group had a higher disposition index, indicating more efficient pancreatic beta cell function [3]. Data from animal studies also suggests that in the post-partum period, breast-feeding is associated with a decrease in insulin resistance. Blood glucose levels were reduced 20% and insulin levels were reduced 35% in lactating rats compared with non-lactating rats [4], while in another study, a 12-fold increase in insulin uptake was observed in the mammary glands of lactating rats, as well as a marked decrease in the plasma half-life of insulin [5]. Breast-feeding may also influence pituitary hormones [22] and may induce long-term changes in the hypothalamic-pituitary axis [23].

Our study has several strengths. Our population is representative of urban Shanghai. The high follow-up rates minimised the possibility of selection bias. In addition, the prevalence of breast-feeding in this population was very high (81.62%), and there was a high number of live births (of the total number of women in our study at baseline, 74,942 or 96.4% were parous). In addition, the extensive information on potential confounders and the large study size allowed us to examine the effect of duration of breast-feeding on the development of type 2 diabetes mellitus in detail.

The major limitation of the study is reliance on self-reported diabetes, which is an important factor to consider when interpreting these results. A recent report suggested that the prevalence of diabetes was under-diagnosed in Shanghai [13]. We are not aware of any programme for systematic screening for diabetes in our study area. At baseline recruitment, we conducted a urinary glucose test for all cohort members who donated a urine sample (88.2% of participants). We found that 1% of participants who reported never having been diagnosed by a physician as having diabetes had a positive urinary glucose test. These participants were excluded from the current analysis. However, it is possible some other type 2 diabetes cases remained undiagnosed in our study. Similarly, self-reported diabetes may also include some false positive cases. Misclassification of diabetes could weaken the association between duration of breast-feeding and the risk of type 2 diabetes mellitus. To address the possibility of surveillance bias, we conducted analyses restricted to women with confirmed diabetes and found similar results.

In our study, duration of breast-feeding was correlated with parity. In a recent study from the UK, having more children was associated with a higher risk of diabetes in women [24]. However, the association was attenuated after adjustment for BMI and socioeconomic factors. Similarly to the UK study, we found parity to be associated with lower income and education levels, higher BMI, WHR and standard weight gain, as well as smoking and alcohol consumption in this population. In age-adjusted analyses the incidence of diabetes was positively associated with number of children. The RRs of diabetes were 1.00, 1.38, 1.32, 1.31 and 1.62 for one, two, three, four and five or more children (p < 0.01). When we adjusted the analysis for BMI and WHR, parity was no longer associated with incidence of type 2 diabetes. We found that the association between breast-feeding and type 2 diabetes did not change much after adjustment for number of live births. Before and after inclusion of the number of live births in the analysis, the RRs of type 2 diabetes mellitus for 0, >0 to 6 months, >6 to 11 months, >11 to 35 months and ≥36 months of breast-feeding were 1.00, 0.87, 0.89, 0.89 and 0.75 (p = 0.04 for trend) and 1.00, 0.87, 0.89, 0.89 and 0.73 (p = 0.05 for trend), respectively.

Breast-feeding could also reflect differences in other risk factors in our population that might not have been completely controlled for or measured in our study. We applied a propensity score adjustment, including a wide array of lifestyle and dietary intake variables, and found little change in the pattern of associations between breast-feeding and type 2 diabetes mellitus (data not shown). Nevertheless, residual confounding from unmeasured or less than perfectly measured confounders, such as socioeconomic status at the time of breast-feeding, is still a concern. Thus, our results should be interpreted with caution, particularly given that the association was relatively weak and that the reduced risk was limited to participants with a longer duration of breast-feeding (≥36 months). In addition, over-adjustment due to the inclusion of possible mediating variables such as BMI and WHR in the model may also be a concern. In our study population, breast-feeding was weakly associated with BMI and WHR (r = 0.22 and r = 0.22, respectively). Further studies conducted in other populations and focused on the underlying biological mechanisms are warranted.

In summary, we found that breast-feeding duration was inversely associated with the risk of type 2 diabetes mellitus in this population. Together with results from two other large US cohorts and some clinical evidence of improved glucose homeostasis in breast-feeding women, these data suggest that breast-feeding may reduce the risk of type 2 diabetes mellitus in middle-aged women.