Abstract
OBJECTIVE
To examine duration of breastfeeding and timing of complementary foods and risk of islet autoimmunity (IA).
RESEARCH DESIGN AND METHODS
The Environmental Determinants of Diabetes in the Young (TEDDY) study prospectively follows 8,676 children with increased genetic risk of type 1 diabetes (T1D) in the U.S., Finland, Germany, and Sweden. This study included 7,563 children with at least 9 months of follow-up. Blood samples were collected every 3 months from birth to evaluate IA, defined as persistent, confirmed positive antibodies to insulin (IAAs), GAD, or insulinoma antigen-2. We examined the associations between diet and the risk of IA using Cox regression models adjusted for country, T1D family history, HLA genotype, sex, and early probiotic exposure. Additionally, we investigated martingale residuals and log-rank statistics to determine cut points for ages of dietary exposures.
RESULTS
Later introduction of gluten was associated with increased risk of any IA and IAA. The hazard ratios (HRs) for every 1-month delay in gluten introduction were 1.05 (95% CI 1.01, 1.10; P = 0.02) and 1.08 (95% CI 1.00, 1.16; P = 0.04), respectively. Martingale residual analysis suggested that the age at gluten introduction could be grouped as <4, 4–9, and >9 months. The risk of IA associated with introducing gluten before 4 months of age was lower (HR 0.68; 95% CI 0.47, 0.99), and the risk of IA associated with introducing it later than the age of 9 months was higher (HR 1.57; 95% CI 1.07, 2.31) than introduction between 4 and 9 months of age.
CONCLUSIONS
The timing of gluten-containing cereals and IA should be studied further.
Introduction
The interplay between genes and environmental factors, such as diet, has been hypothesized to play an important role in triggering type 1 diabetes (T1D) (1,2), the incidence of which continues to increase globally (3).
The ability of breast milk to provide the required nutrients becomes limited among older infants. Therefore, timely introduction of complementary foods is essential for the baby’s well-being and growth (4). To examine certain infant feeding practices, several studies have been carried out in populations with genetically increased T1D risk by focusing on an arbitrary chosen age range in relation to islet autoimmunity (IA) and/or T1D. It has been reported that a shorter duration of breastfeeding (5–7), certain “age windows” (≤3 and ≥7 months vs. 4–6 months) for introducing cereals (8,9), as well as early (<3–4 months) exposure to cow’s milk (10,11), gluten-containing cereals (12,13), fruits and berries (9,14), and potatoes and root vegetables (14,15) may increase the risk of IA and/or T1D. However, a recent study (16) showed that this association between age at introduction of complementary foods and IA may decrease/disappear when the follow-up is extended, including older children. The association between the timing of food introduction and IA remains inconclusive because of inconsistent results (17). Types of early foods linked to IA/T1D seem to vary at least partly by country.
The mechanisms linking early feeding practices and the development of IA/T1D are not very well known, but those suggested to play a crucial role include immature and adverse immunological responses of the gut to complementary food (18,19), mucosal inflammation, and increased gut permeability (20,21).
This study aims to examine breastfeeding duration and the timing of initiating infant formula, regular cow’s milk, and solid food in relation to the risk of IA in The Environmental Determinants of Diabetes in the Young (TEDDY) study. We investigated the overall association between those dietary exposures and the risk of IA. To our knowledge, this is the first attempt to analyze these dietary exposures without a predetermined categorization. Additionally, we examined whether a categorization of breastfeeding duration or age at initiating a food is statistically justified based on the association with the risk of IA in TEDDY.
Research Design and Methods
Study Population
TEDDY is a prospective observational cohort with the primary aim to identify environmental causes of T1D. The study includes the following six clinical research centers: three in the U.S. (Colorado, Georgia/Florida, and Washington) and three in Europe (Finland, Germany, and Sweden). A total of 424,788 newborns were screened in hospitals affiliated with the study centers between September 2004 and February 2010, identifying 21,589 HLA-eligible infants. The HLA typing has been previously described in detail (22–24). Of the 8,676 enrolled subjects, 8,263 singleton babies were identified carrying one of the eligible HLA types with determined IA status. Of those, we included 7,572 subjects who were followed for at least 9 months to obtain complete information on the duration of breastfeeding and the timing of the introduction of complementary foods. After excluding nine subjects who lacked information on early feeding, a total of 7,563 children were analyzed in this study. Their median (Q3–Q1) follow-up time was 92 months (114–54).
Written informed consent was obtained for all children in the study from a parent or primary caretaker, separately, for genetic screening and participation in prospective follow-up. The study was approved by local institutional review or ethics boards and was monitored by an External Evaluation Committee formed by the National Institutes of Health.
IA
Blood samples using serum separation tubes were drawn every 3 months between 3 and 48 months of age and every 6 months thereafter, unless the autoantibodies developed in the child, in which case the child continued to be followed, including blood draws every 3 months. Serum was stored in two 0.5-mL cryovials for autoantibody measurements and were frozen within 2 h from collection. Persistent IA (any IA) was defined as confirmed positive insulin autoantibodies (IAAs), GAD antibody (GADA), specifically to isoform GAD65, or insulinoma antigen-2 autoantibody, which were analyzed by radiobinding assays (25,26) on at least two consecutive study visits. All positive and 5% of negative islet autoantibodies were confirmed in the following central autoantibody laboratories: Barbara Davis Center for Childhood Diabetes, University of Colorado, in the U.S. and University of Bristol in the U.K., which both previously have found high sensitivity and specificity (27) and concordance. Positive results due to maternal IgG transmission when defining the child’s IA status were omitted from the IA-positive group. The date of persistent IA was defined as the draw date of the first of two consecutive samples confirmed positive for a specific autoantibody, with which the child was deemed persistent. In addition to any IA, we separately studied children who had either IAAs alone or GADAs alone as their first appearing autoantibody. The median age (Q3–Q1) of children at IA seroconversion was 33 months (62–16) (n = 703). The median (Q3–Q1) values were 21 months (40–11) for IAAs (n = 272) and 46 months (77–25) for GADAs (n = 299), respectively.
Characteristics, Diet, and Health Monitoring of the Study Population
Demographic characteristics, family history of diabetes, and infant feeding practices were obtained from various questionnaires and have been explained previously (28). Information about infant feeding (breastfeeding and food introductions) was recorded by parents in a diary (“TEDDY Book”) at home and collected every 3 months during the clinic visits or over the phone starting at 3 months of age. This information was recorded in the TEDDY Book until the clinic visit at 24 months except for any breastfeeding, which was followed up to 5 years of age. If the breastfeeding duration was >5 years, the child was not introduced to a complementary food by 24 months of age, or the correct timing of food introduction was not available, the information was regarded as unknown. The duration of breastfeeding that corresponded to the age when breastfeeding ended (exclusive and any) and the ages at which consumption of infant formula and solid foods started were examined in relation to IA. A baby was considered to be exclusively breastfed when his/her diet included only breast milk and possibly small amounts of non-nutritious drinks (e.g., water). Any breastfeeding could also be accompanied by other foods in the diet. The infant formula in this study included the following: commercial infant formulas that contain intact cow’s milk proteins or cow’s milk proteins hydrolyzed to any degree, soy formula, elemental formula, regular cow’s milk and other animals’ milks, and vegetarian “milks.” The solid foods that were studied separately in this study included the following: any type of cereal (wheat, rye, barley, oat, rice, or any other nongluten cereal), gluten-containing cereals (wheat, rye, and barley), rice, potatoes, root vegetables, fruits and berries, meat (beef, pork, game, and/or poultry), eggs, fish, and other seafood (Table 1). In addition to these foods, the “any solid food” included milk products (e.g., cheese, yogurt), sausages, and various vegetables. The age at the introduction of any solid food was defined as the earliest time when any of the aforementioned solid foods were introduced. “Selected foods” included foods found to be associated with IA/T1D in the earlier studies, as follows: cereals (IA), including rice/oat (T1D) and gluten-containing cereals (IA); potatoes (IA); root vegetables (IA); fruits and berries (IA/T1D); and eggs (IA) (8,9,12,14,15).
Table 1.
Dietary Exposures | ||
---|---|---|
Breastfeeding and food exposures that were each studied separately | Selected foods: foods associated with IA in previous studies; they were studied as one combined variable | Any solid food: all solid foods that were studied as one combined variable |
Exclusive breastfeeding | ||
Any breastfeeding | ||
Infant formula | ||
Cow’s milk (any cow’s milk exposure) | ||
All cereals | All cereals | All cereals |
Gluten-containing cereals | Gluten-containing cereals | Gluten-containing cereals |
Rice | Rice | Rice |
Fruits and berries | Fruits and berries | Fruits and berries |
Potatoes | Potatoes | Potatoes |
Root vegetables | Root vegetables | Root vegetables |
Meat (beef, pork, poultry, game) | Meat (beef, pork, poultry, game) | |
Fish and seafood | Fish and seafood | |
Egg | Egg | Egg |
Milk products (yogurt, sour cream, cheese, commercial baby foods containing yogurt, cottage cheese) | ||
Spinach | ||
Peas, green beans | ||
Cabbages (Chinese cabbage, red cabbage, cauliflower, broccoli, kale, cabbage turnip, collard, mustard green, turnip greens) | ||
Squash, pumpkin | ||
Tomato, tomato sauce | ||
Corn | ||
Other vegetable | ||
Sausage, hot dogs |
Variables studied are shown in bold.
Statistical Analysis
Cox proportional hazards models were used to study the association between dietary exposures (duration of breastfeeding and age of initiating a food, as defined above) and the risk of IA, after adjusting for country, T1D family history (first-degree relative [FDR]), sex of the child, HLA (DR3/4 vs. other genotypes), and exposure to probiotics at <28 days of age. Time of seroconversion was the age when the first blood sample for persistent IA was drawn. Time for right censoring was the age when the last blood sample in the follow-up was determined to be negative for IA. A proportional cause-specific hazard model for first-appearing IAA or first-appearing GADA was used by treating events other than the one of interest as censored observations. In each risk set, including those who experienced the event of interest and those who were event free by a certain age, the age of initiating consumption of a food was analyzed in those who had initiated consumption of the food at an age younger than that of the risk set.
The functional form of each dietary exposure and IA association was explored by plotting martingale residuals with a loess smoothing parameter of 0.4. Additionally, we applied the change-point method, based on the log-rank statistic, in order to find a cut point for each dietary exposure dichotomization in relation to the risk of IA (29).
Two-sided P values <0.05 were considered to determine a statistical significance. All analyses were performed using the Statistical Analysis System Software (version 9.4; SAS Institute, Cary, NC).
Results
Characteristics and potential confounders associated with risk of any IA are presented in Table 2. After adjusting for those factors, we found that later introduction of gluten-containing cereals was associated with increased risk of any IA (hazard ratio [HR] for 1-month delay 1.05; 95% CI 1.01, 1.10; P = 0.02) and with increased risk of IAA (HR for 1-month delay 1.08; 95% CI 1.00, 1.16; P = 0.04) (Table 3). When examining the durations of exclusive breastfeeding and any breastfeeding, the timing of any infant formula, the timing of single foods other than gluten-containing cereals, or any solid food introduction as a combined variable of exposures of solid foods, we could not detect any association between them and the risk of outcomes (Table 3). There were 959 children (12.7%) who moved straight from breast milk to solid food (e.g., milk-based thin porridges) and therefore had no values for age of introduction of infant formula.
Table 2.
Study population, | Any IA (N = 703) |
IAA (N = 272) |
GADA (N = 299) |
|||||||
---|---|---|---|---|---|---|---|---|---|---|
N | N (%) | HR (95% CI) | P value | N (%) | HR (95% CI) | P value | N (%) | HR (95% CI) | P value | |
Country | ||||||||||
Finland | 1,654 | 180 (25.6) | 1.40 (1.15, 1.71) | <0.001 | 89 (32.7) | 2.28 (1.67, 3.11) | <0.001 | 110 (36.8) | 1.00 (0.72, 1.39) | 0.999 |
Germany | 510 | 54 (7.7) | 1.30 (0.96, 1.76) | 0.092 | 20 (7.4) | 1.36 (0.82, 2.25) | 0.234 | 60 (20.1) | 0.82 (0.47, 1.42) | 0.471 |
Sweden | 2,283 | 240 (34.1) | 1.30 (1.08, 1.56) | 0.005 | 83 (30.5) | 1.38 (1.02, 1.89) | 0.039 | 15 (5.0) | 1.25 (0.96, 1.62) | 0.103 |
U.S. | 3,116 | 229 (32.6) | 1 | 80 (29.4) | 1 | 114 (38.1) | 1 | |||
High-risk HLA genotype (DR3/4) | ||||||||||
Yes | 2,956 | 344 (48.9) | 1.61 (1.38, 1.88) | <0.001 | 128 (47.1) | 1.54 (1.21, 1.96) | <0.001 | 150 (50.2) | 1.65 (1.31, 2.07) | <0.001 |
No | 4,607 | 359 (51.1) | 1 | 144 (52.9) | 1 | 149 (49.8) | 1 | |||
FDR with T1D | ||||||||||
Yes | 857 | 136 (19.4) | 1.99 (1.64, 2.43) | <0.001 | 58 (21.3) | 2.32 (1.71, 3.15) | <0.001 | 52 (17.4) | 1.85 (1.36, 2.53) | <0.001 |
No | 6,706 | 567 (80.6) | 1 | 214 (78.7) | 1 | 247 (82.6) | 1 | |||
Sex of the child | ||||||||||
Female | 3,698 | 322 (45.8) | 0.87 (0.75, 1.00) | 0.056 | 152 (44.1) | 0.81 (0.64, 1.03) | 0.079 | 144 (48.2) | 0.95 (0.76, 1.19) | 0.661 |
Male | 3,865 | 381 (54.2) | 1 | 120 (55.9) | 1 | 155 (51.8) | 1 | |||
Probiotics, age at first exposure | ||||||||||
<28 days | 538 | 41 (5.8) | 0.70 (0.50, 0.97) | 0.022 | 15 (5.5) | 0.53 (0.31, 0.91) | 0.021 | 15 (5.0) | 0.72 (0.42, 1.24) | 0.237 |
≥28 days | 7,025 | 662 (94.2) | 1 | 257 (94.5) | 1 | 284 (95.0) | 1 |
Table 3.
Dietary exposure | IA | Duration of breastfeeding or age at introduction of food (months) |
HR (95% CI)* | P value* | |||||
---|---|---|---|---|---|---|---|---|---|
Among those who developed autoantibodies |
Among those who did not develop autoantibodies |
||||||||
N | Not breastfed or food was not introduced by the end of follow-up (%) | Mean (SD) | N | Not breastfed or food was not introduced by the end of follow-up (%) | Mean (SD) | ||||
Exclusive breastfeeding | Any IA | 703 | 0 | 1.3 (1.9) | 6,860 | 0 | 1.2 (1.8) | 1.00 (0.96, 1.04) | 0.980 |
IAA | 272 | 1.4 (1.9) | 7,291 | 1.2 (1.8) | 1.01 (0.95, 1.07) | 0.763 | |||
GADA | 299 | 1.3 (1.9) | 7,264 | 1.2 (1.8) | 1.01 (0.95, 1.07) | 0.810 | |||
Any breastfeeding | Any IA | 694 | 1.3 | 8.4 (7.3) | 6,617 | 3.5 | 7.4 (6.4) | 1.01 (1.00, 1.02) | 0.118 |
IAA | 270 | 8.5 (6.7) | 7,041 | 7.5 (6.5) | 1.01 (0.99, 1.03) | 0.205 | |||
GADA | 294 | 8.6 (8.2) | 7,017 | 7.4 (6.5) | 1.01 (1.00, 1.03) | 0.123 | |||
Any infant formula | Any IA | 598 | 14.9 | 1.2 (2.5) | 6,006 | 12.4 | 1.2 (2.3) | 0.99 (0.96, 1.02) | 0.522 |
IAA | 235 | 1.4 (2.7) | 6,369 | 1.2 (2.3) | 1.02 (0.96, 1.05) | 0.574 | |||
GADA | 257 | 1.3 (2.5) | 6,347 | 1.2 (2.3) | 1.01 (0.96, 1.06) | 0.696 | |||
Cow’s milk | Any IA | 701 | 0.3 | 2.1 (3.1) | 6,824 | 0.5 | 1.8 (2.8) | 1.01 (0.98, 1.04) | 0.474 |
IAA | 270 | 2.2 (3.2) | 7,255 | 1.8 (2.8) | 1.02 (0.98, 1.07) | 0.301 | |||
GADA | 299 | 2.0 (3.0) | 7,226 | 1.9 (2.8) | 1.01 (0.97, 1.05) | 0.613 | |||
Any solid food | Any IA | 701 | 0.3 | 3.6 (1.4) | 6,839 | 0.3 | 3.5 (1.4) | 1.03 (0.97, 1.09) | 0.384 |
IAA | 272 | 3.5 (1.4) | 7,268 | 3.5 (1.4) | 0.99 (0.90, 1.08) | 0.757 | |||
GADA | 297 | 3.7 (1.3) | 7,243 | 3.5 (1.4) | 1.07 (0.97, 1.17) | 0.159 | |||
Selected foods | Any IA | 701 | 0.3 | 3.7 (1.3) | 6,838 | 0.3 | 3.6 (1.4) | 1.03 (0.97, 1.09) | 0.368 |
IAA | 272 | 3.6 (1.3) | 7,267 | 3.6 (1.4) | 1.01 (0.91, 1.11) | 0.873 | |||
GADA | 297 | 3.7 (1.3) | 7,242 | 3.6 (1.4) | 1.00 (1.00, 1.01) | 0.118 | |||
Cereals, any | Any IA | 699 | 0.6 | 4.4 (1.4) | 6,810 | 0.7 | 4.2 (1.4) | 1.03 (0.97, 1.10) | 0.330 |
IAA | 271 | 4.4 (1.4) | 7,238 | 4.2 (1.4) | 1.01 (0.91, 1.14) | 0.789 | |||
GADA | 296 | 4.3 (1.3) | 7,213 | 4.2 (1.4) | 1.03 (0.94, 1.14) | 0.525 | |||
Gluten-containing cereals | Any IA | 699 | 0.6 | 5.8 (2.1) | 6,708 | 2.2 | 5.7 (2.0) | 1.05 (1.01, 1.10) | 0.023 |
IAA | 271 | 5.9 (2.1) | 7,136 | 5.7 (2.0) | 1.08 (1.00, 1.16) | 0.038 | |||
GADA | 296 | 5.8 (2.0) | 7,111 | 5.7 (2.0) | 1.06 (0.99, 1.13) | 0.121 | |||
Rice | Any IA | 699 | 0.6 | 5.0 (1.9) | 6,755 | 1.5 | 4.8 (1.8) | 1.02 (0.97, 1.07) | 0.445 |
IAA | 271 | 5.1 (2.0) | 7,183 | 4.8 (1.8) | 1.01 (0.93, 1.10) | 0.779 | |||
GADA | 296 | 4.8 (1.7) | 7,158 | 4.8 (1.8) | 1.00 (0.93, 1.08) | 0.936 | |||
Root vegetables | Any IA | 701 | 0.3 | 4.3 (1.2) | 6,806 | 0.8 | 4.3 (1.3) | 1.03 (0.96, 1.10) | 0.464 |
IAA | 272 | 4.2 (1.2) | 7,235 | 4.3 (1.3) | 1.00 (0.90, 1.12) | 0.942 | |||
GADA | 297 | 4.4 (1.3) | 7,210 | 4.3 (1.3) | 1.05 (0.95, 1.16) | 0.352 | |||
Potatoes | Any IA | 699 | 0.6 | 5.2 (2.2) | 6,698 | 2.4 | 5.3 (2.4) | 1.05 (1.00, 1.10) | 0.051 |
IAA | 271 | 5.1 (2.1) | 7,126 | 5.3 (2.4) | 1.05 (0.97, 1.14) | 0.200 | |||
GADA | 296 | 5.4 (2.4) | 7,101 | 5.3 (2.3) | 1.06 (0.99, 1.13) | 0.116 | |||
Fruits or berries | Any IA | 700 | 0.4 | 4.3 (1.4) | 6,806 | 0.8 | 4.2 (1.5) | 1.04 (0.98, 1.10) | 0.167 |
IAA | 272 | 4.3 (1.5) | 7,234 | 4.2 (1.5) | 1.04 (0.95, 1.14) | 0.372 | |||
GADA | 296 | 4.4 (1.4) | 7,210 | 4.2 (1.5) | 1.05 (0.96, 1.14) | 0.315 | |||
Meat | Any IA | 692 | 1.6 | 6.0 (1.8) | 6,676 | 2.7 | 6.1 (2.0) | 1.02 (0.97, 1.08) | 0.457 |
IAA | 269 | 6.0 (1.7) | 7,099 | 6.1 (2.0) | 1.03 (0.94, 1.12) | 0.564 | |||
GADA | 292 | 6.1 (2.0) | 7,076 | 6.1 (2.0) | 1.04 (0.96, 1.12) | 0.364 | |||
Egg | Any IA | 684 | 2.7 | 8.9 (2.5) | 6,458 | 5.9 | 8.7 (2.5) | 1.02 (0.99, 1.05) | 0.288 |
IAA | 266 | 8.9 (2.7) | 6,876 | 8.7 (2.5) | 1.00 (0.95, 1.06) | 0.878 | |||
GADA | 290 | 8.9 (2.4) | 6,852 | 8.7 (2.5) | 1.04 (0.99, 1.09) | 0.140 | |||
Fish or other seafood | Any IA | 662 | 5.8 | 8.6 (3.6) | 6,210 | 9.5 | 8.6 (3.6) | 1.01 (0.98, 1.04) | 0.537 |
IAA | 256 | 8.5 (3.8) | 6,616 | 8.6 (3.6) | 0.99 (0.94, 1.05) | 0.810 | |||
GADA | 280 | 8.7 (3.6) | 6,592 | 8.6 (3.6) | 1.03 (0.98, 1.08) | 0.258 |
*HR and corresponding P value were obtained from the Cox regression model adjusted for country, HLA genotype, FDR status, sex of the child, and probiotic use <28 days. HRs reflect the change in the risk with 1-month longer breastfeeding or 1-month delay in food introduction.
The martingale residual analysis showed changes in the association between age of introduction of gluten-containing cereals and the risk of any IA. There was an increasing trend of risk between 0 and 4 months, a plateau from 4 to 9 months, and increasing risk again at introductions from 9 months on (Supplementary Fig. 1). The application of the change-point method revealed a significant dichotomization in the duration of any breastfeeding (at 7 months of age with any IA and at 6 months of age with GADA), age of introducing cow’s milk (at 5 months of age with any IA), cereals (at 4 months of age with any IA), rice (at 7 months of age with any IA and at 6 months of age with GADA), fruits and berries (at 4 months of age with any IA), potato (at 4 months of age with any IA), meat (at 8 months of age with any IA), egg (at 9 months of age with any IA), and fish and seafood (at 9 months of age with GADA).
We applied the data-driven categorizations of dietary exposures in evaluating the risk of IA. When compared with the introduction at 4–9 months of age (Supplementary Fig. 1), introduction of gluten-containing cereals before 4 months of age showed decreased risk of any IA (HR 0.68; 95% CI 0.47, 0.99) but increased risk of any IA (HR 1.57; 95% CI 1.07, 2.31) if introduced after 9 months of age. The HRs remained similar in the introduction of gluten-containing cereals before 4 months of age when adjusted for country of residence, HLA, FDR with T1D, sex of the child, and early exposure to probiotics (HR 0.67; 95% CI 0.54, 0.98; P = 0.04). When the dichotomizations were applied, the risk difference between the two timing categories of duration of breastfeeding and food introductions was not very noticeable. However, the introduction of egg at or before 9 months of age showed consistently lower risk of any IA compared with introduction after 9 months of age both in the unadjusted analysis (HR 0.86; 95% CI 0.74, 0.99) and in the adjusted analysis (HR 0.84; 95% CI 0.72, 0.99) (Table 4).
Table 4.
IA | Dietary exposure* | Timing in months* | Number of children who developed any IA or GADA, N (%) | Number of children who did not develop any IA or GADA, N (%) | Unadjusted HR (95% CI) | P value | Adjusted† HR (95% CI) | P value |
---|---|---|---|---|---|---|---|---|
Any IA | Gluten-containing cereals | <4 | 28 (6) | 445 (94) | 0.68 (0.47, 0.99) | 0.047 | 0.67 (0.54, 0.98) | 0.037 |
4–9 | 637 (10) | 6,048 (90) | 1 | 1 | ||||
>9 | 31 (14) | 185 (86) | 1.57 (1.07, 2.31) | 0.022 | 1.44 (0.97, 2.16) | 0.074 | ||
Any breastfeeding | ≤7 | 334 (9) | 3,575 (91) | 0.93 (0.80, 1.08) | 0.326 | 0.94 (0.81, 1.09) | 0.426 | |
>7 | 360 (11) | 3,042 (89) | 1 | 1 | ||||
Cow’s milk | ≤5 | 584 (10) | 5,922(91) | 0.83 (0.68, 1.00) | 0.055 | 0.85 (0.69, 1.04) | 0.115 | |
>5 | 117 (11) | 902 (89) | 1 | 1 | ||||
Cereals | ≤4 | 483 (9) | 4,765 (91) | 0.99 (0.85, 1.17) | 0.945 | 1.09 (0.92, 1.30) | 0.309 | |
>4 | 216 (10) | 2,045 (90) | 1 | 1 | ||||
Rice | ≤7 | 618 (9) | 6,196 (91) | 0.79 (0.63, 0.99) | 0.046 | 0.87 (0.69, 1.10) | 0.233 | |
>7 | 75 (13) | 502 (87) | 1 | 1 | ||||
Fruit and berries | ≤4 | 460 (9) | 4,552 (91) | 0.99 (0.85, 1.15) | 0.868 | 1.00 (0.85, 1.18) | 0.999 | |
>4 | 240 (10) | 2,254 (90) | 1 | 1 | ||||
Potato | ≤7 | 578 (10) | 5,345 (90) | 1.19 (0.98, 1.45) | 0.077 | 0.98 (0.77, 1.25) | 0.898 | |
>7 | 121 (8) | 1,353 (92) | 1 | 1 | ||||
Meat | ≤8 | 615 (10) | 5,762 (90) | 1.27 (1.01, 1.59) | 0.040 | 1.13 (0.88, 1.45) | 0.344 | |
>8 | 77 (8) | 914 (92) | 1 | 1 | ||||
Egg | ≤9 | 282 (9) | 3,002 (91) | 0.86 (0.74, 0.99) | 0.045 | 0.84 (0.72, 0.99) | 0.035 | |
>9 | 402 (10) | 3,456 (90) | 1 | 1 | ||||
GADA | Any breastfeeding | ≤6 | 120 (3) | 3,476 (97) | 1.20 (0.95, 1.52) | 0.126 | 1.17 (0.92, 1.49) | 0.196 |
>6 | 174 (5) | 3,541 (95) | 1 | 1 | ||||
Rice | ≤6 | 264 (4) | 6,435 (96) | 1.25 (0.87, 1.78) | 0.224 | 1.10 (0.76, 1.58) | 0.623 | |
>6 | 28 (4) | 664 (96) | 1 | 1 | ||||
Fish and seafood | ≤9 | 188 (4) | 4,538 (96) | 0.88 (0.70, 1.12) | 0.290 | 1.11 (0.81, 1.53) | 0.507 | |
>9 | 92 (4) | 2,054 (96) | 1 | 1 |
*Dietary exposure: timing of breastfeeding or food; categorization of timing of gluten-containing cereals’ introductions was based on martingale residuals whereas dichotomizations of timing of other dietary exposures in relation to the risk of any IA or GADA were based on change-point methods using log-rank test (28); only statistically significant (P < 0.05) cut points are shown. No statistically significant cut point of timing of a dietary exposure for IAA was detected.
†The Cox regression model was adjusted for country, HLA genotype, FDR status, sex of the child, and probiotic use <28 days.
Conclusions
Data from the multinational prospective TEDDY Study suggests that later introduction of gluten-containing cereals is associated with increased risk of any IA and IAA. The residual plot suggested a plateau in risk at introduction between 4 and 9 months of age, and the results from categorized analysis supported that, as well as the overall finding that later introduction of gluten-containing cereals is associated with increased risk of IA.
The major strength of the study was its consistently collected data using the same protocol and questionnaires across four TEDDY countries. Including larger geographical areas in the study made it possible to consider the importance of varying feeding habits. Additionally, both continuous and statistically derived categorized exposures were used in the investigation of associations. As a limitation, we did not record the amounts of the introduced food or count the initial frequency of feeding the new food. Thus, the cumulative exposure of a new food or foods was not possible to study.
When studying introductions of solid foods, we found that later introduction of gluten-containing cereals was associated with increased risk of IA. Later introduction of foods into a diet overall may be associated with larger initial amounts of food given to the children. Larger amounts can be challenging to their immature immune system and can therefore hamper the development of tolerance to foreign antigens. Very few studies have investigated the amounts of food at early age and a risk of disease. Aronsson et al. (30) suggested that a larger amount of gluten consumed during the first 2 years of life was associated with increased risk of celiac disease. However, we did not study the amounts of foods given in this study. A positive association between the early introduction of gluten-containing foods (<3 months vs. later introduction with exclusive breastfeeding until 3 months of age) (12), as well as early (≤3 months vs. 4–6 months) and late (≥7months vs. 4–6 months) introductions of any cereals (8), and the risk of IA has been reported among children with increased risk of T1D. Our results did not support the finding related to early gluten introduction and the risk of IA by Ziegler et al. (12).
The preferred first solid foods varies among the countries, for example, cereals in the U.S. and fruits, potato, and root vegetables in Finland (28). It appears that the first solid food a child consumed was most often associated with IA risk (8,14,15). This could be interpreted in a way that the type of complementary food first introduced may be of less importance to the disease risk than the timing of introduction of any first solid food. However, we did not observe an association between any first solid food consumed, as defined in Table 1, and IA in the TEDDY cohort.
The finding related to early introduction (≤9 months vs. at a later age) of egg and decreased risk of IA contradicted the finding by Virtanen et al. (15), who suggested that the early introduction of egg (<8 months vs. later) was linked to increased risk of IA during the first 3 years of life. In a recent study in the same population (16), this association was no longer found after children older than 3 years of age were included in the analysis. However, the association in the current study was quite weak, and no association was observed when the egg exposure was investigated as a continuous variable.
Our findings related to the timing of gluten-containing cereals and egg are not consistent with the findings from earlier studies, and the reasons for that can be speculated. Previous studies have been carried out in populations within small geographical areas. The type and timing of first complementary foods as well as the length of the follow-up have varied between the study populations. Moreover, timing has been studied using arbitrary categorization of dietary exposures. There have been differences in the use of dietary supplements (28,31) as well as in types of infant formula (32). Variations in HLA genotype eligibility between the studies may also have contributed to the discrepant findings. It is important to recognize that infant feeding habits change over time. New types of processed foods and dietary supplements are continuously adopted. Use of probiotics during the first year of life has become more common among children in the TEDDY study (31), and they are often given concurrently with new solid foods. Wheat is the main source of gluten in an infant diet (30) and is also an important source of prebiotics (9). Early exposure of both probiotics and prebiotics in gluten-containing cereals like wheat may provide a favorable base for beneficial gut microbiota. However, the role of dietary gluten and wheat in the etiology of T1D remains controversial in animal models (33–35). It has been suggested that wheat may result in mimicry-induced autoimmune disorders given that its peptide sequence is similar to that of human tissue, such as human islet cell tissue (36).
This was the first international study where duration of breastfeeding and timing of the introduction of new foods and their relationship with T1D-related autoantibodies were studied. Overall, we could not confirm the previously published findings between early infant feeding and the risk of IA. Nevertheless, the timing of gluten-containing cereals and the appearance of islet autoantibodies should be studied further. New dietary recommendations for early infant feeding cannot be made based on the current results.
Supplementary Material
Article Information
Funding. The TEDDY Study is funded by the National Institute of Diabetes and Digestive and Kidney Diseases grants U01-DK-63829, U01-DK-63861, U01-DK-63821, U01-DK-63865, U01-DK-63863, U01-DK-63836, U01-DK-63790, UC4-DK-63829, UC4-DK-63861, UC4-DK-63821, UC4-DK-63865, UC4-DK-63863, UC4-DK-63836, UC4-DK-95300, UC4-DK-100238, and UC4-DK-106955, and Contract No. HHSN267200700014C; the National Institute of Allergy and Infectious Diseases; the National Institute of Child Health and Human Development; the National Institute of Environmental Health Sciences; JDRF; and the Centers for Disease Control and Prevention. This work was supported in part by the National Institutes of Health/National Center for Advancing Translational Sciences Clinical and Translational Science Awards to the University of Florida (UL1-TR-000064) and the University of Colorado (UL1-TR-001082).
Duality of Interest. No potential conflicts of interest relevant to this article were reported.
Author Contributions. U.U. contributed to the study design and the acquisition, analysis, and interpretation of data and drafted the article. H.-S.L. performed statistical analysis and contributed to the interpretation of data and the drafting of the manuscript. C.A.A., K.V., J.Y., S.H., and K.S. contributed to the acquisition and interpretation of the data and critically reviewed the manuscript. Å.L., M.R., W.H., J.-X.S., O.S., J.T., A.-G.Z., B.A., J.K., S.M.V., and J.M.N. contributed to the study concept and design and the acquisition and interpretation of data and critically reviewed the manuscript. U.U. and H.-S.L. are the guarantors of this work and, as such, had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
Footnotes
This article contains Supplementary Data online at http://care.diabetesjournals.org/lookup/suppl/doi:10.2337/dc17-1983/-/DC1.
S.M.V. and J.M.N. share last authorship.
A complete list of the TEDDY Study Group can be found in the Supplementary Data online.
Contributor Information
Collaborators: The TEDDY Study Group, Marian Rewers, Kimberly Bautista, Judith Baxter, Ruth Bedoy, Daniel Felipe-Morales, Kimberly Driscoll, Brigitte I. Frohnert, Marisa Gallant, Patricia Gesualdo, Michelle Hoffman, Rachel Karban, Edwin Liu, Jill Norris, Adela Samper-Imaz, Andrea Steck, Kathleen Waugh, Hali Wright, Jorma Toppari, Olli G. Simell, Annika Adamsson, Suvi Ahonen, Heikki Hyöty, Jorma Ilonen, Sanna Jokipuu, Tiina Kallio, Leena Karlsson, Miia Kähönenµ, Mikael Knip, Lea Kovanen, Mirva Koreasalo, Kalle Kurppa, Tiina Latva-aho, Maria Lönnrot, Elina Mäntymäki, Katja Multasuo, Tiina Niininen, Sari Niinistö, Mia Nyblom, Petra Rajala, Jenna Rautanen, Anne Riikonen, Minna Romo, Juulia Rönkä, Satu Simell, Tuula Simell, Maija Sjöberg, Aino Stenius, Maria Leppänen, Sini Vainionpää, Eeva Varjonen, Riitta Veijola, Suvi M. Virtanen, Mari Vähä-Mäkilä, Mari Åkerlund, Katri Lindfors, Jin-Xiong She, Desmond Schatz, Diane Hopkins, Leigh Steed, Jennifer Bryant, Jamie Thomas, Janey Adams, Katherine Silvis, Michael Haller, Melissa Gardiner, Richard McIndoe, Ashok Sharma, Stephen W Anderson, Laura Jacobsen, Anette G. Ziegler, Andreas Beyerlein, Ezio Bonifacio, Anja Heublein, Michael Hummel, Sandra Hummel, Annette Knopff, Charlotte Koch, Sibylle Koletzko, Claudia Ramminger, Roswith Roth, Marlon Scholz, Laura Schulzik, Joanna Stock, Katharina Warncke, Lorena Wendel, Christiane Winkler, Åke Lernmark, Daniel Agardh, Carin Andrén Aronsson, Maria Ask, Jenny Bremer, Ulla-Marie Carlsson, Corrado Cilio, Emelie Ericson-Hallström, Annika Fors, Lina Fransson, Thomas Gard, Rasmus Bennet, Carina Hansson, Susanne Hyberg, Hanna Jisser, Fredrik Johansen, Berglind Jonsdottir, Silvija Jovic, Helena Elding Larsson, Marielle Lindström, Markus Lundgren, Maria Månsson-Martinez, Maria Markan, Jessica Melin, Zeliha Mestan, Caroline Nilsson, Karin Ottosson, Kobra Rahmati, Anita Ramelius, Falastin Salami, Sara Sibthorpe, Anette Sjöberg, Birgitta Sjöberg, Evelyn Tekum Amboh, Carina Törn, Anne Wallin, Åsa Wimar, Sofie Åberg, William A. Hagopian, Michael Killian, Claire Cowen Crouch, Jennifer Skidmore, Ashley Akramoff, Jana Banjanin, Masumeh Chavoshi, Kayleen Dunson, Rachel Hervey, Shana Levenson, Rachel Lyons, Arlene Meyer, Denise Mulenga, Davey Schmitt, Julie Schwabe, Dorothy Becker, Margaret Franciscus, MaryEllen Dalmagro-Elias Smith, Ashi Daftary, Mary Beth Klein, Chrystal Yates, Jeffrey P. Krischer, Sarah Austin-Gonzalez, Maryouri Avendano, Sandra Baethke, Rasheedah Brown, Brant Burkhardt, Martha Butterworth, Joanna Clasen, David Cuthbertson, Christopher Eberhard, Steven Fiske, Dena Garcia, Jennifer Garmeson, Veena Gowda, Kathleen Heyman, Belinda Hsiao, Francisco Perez Laras, Hye-Seung Lee, Shu Liu, Xiang Liu, Kristian Lynch, Colleen Maguire, Jamie Malloy, Cristina McCarthy, Aubrie Merrell, Steven Meulemans, Hemang Parikh, Ryan Quigley, Cassandra Remedios, Chris Shaffer, Laura Smith, Susan Smith, Noah Sulman, Roy Tamura, Ulla Uusitalo, Kendra Vehik, Ponni Vijayakandipan, Keith Wood, Jimin Yang, Michael Abbondondolo, Lori Ballard, David Hadley, Wendy McLeod, Beena Akolkar, Liping Yu, Dongmei Miao, Polly Bingley, Alistair Williams, Kyla Chandler, Claire Williams, Gifty George, Sian Grace, Ben Gillard, William Hagopian, Masumeh Chavoshi, Henry Erlich, Steven J. Mack, Anna Lisa Fear, Sandra Ke, Niveen Mulholland, Kasia Bourcier, Thomas Briese, Suzanne Bennett Johnson, and Eric Triplett
References
- 1.Pociot F, McDermott MF. Genetics of type 1 diabetes mellitus. Genes Immun 2002;3:235–249 [DOI] [PubMed] [Google Scholar]
- 2.Vehik K, Dabelea D. The changing epidemiology of type 1 diabetes: why is it going through the roof? Diabetes Metab Res Rev 2011;27:3–13 [DOI] [PubMed] [Google Scholar]
- 3.Tuomilehto J. The emerging global epidemic of type 1 diabetes. Curr Diab Rep 2013;13:795–804 [DOI] [PubMed] [Google Scholar]
- 4.Agostoni C, Decsi T, Fewtrell M, et al.; ESPGHAN Committee on Nutrition . Complementary feeding: a commentary by the ESPGHAN Committee on Nutrition. J Pediatr Gastroenterol Nutr 2008;46:99–110 [DOI] [PubMed] [Google Scholar]
- 5.Kimpimäki T, Erkkola M, Korhonen S, et al. . Short-term exclusive breastfeeding predisposes young children with increased genetic risk of Type I diabetes to progressive beta-cell autoimmunity. Diabetologia 2001;44:63–69 [DOI] [PubMed] [Google Scholar]
- 6.Holmberg H, Wahlberg J, Vaarala O, Ludvigsson J; ABIS Study Group . Short duration of breast-feeding as a risk-factor for beta-cell autoantibodies in 5-year-old children from the general population. Br J Nutr 2007;97:111–116 [DOI] [PubMed] [Google Scholar]
- 7.Lund-Blix NA, Stene LC, Rasmussen T, Torjesen PA, Andersen LF, Rønningen KS. Infant feeding in relation to islet autoimmunity and type 1 diabetes in genetically susceptible children: the MIDIA Study. Diabetes Care 2015;38:257–263 [DOI] [PubMed] [Google Scholar]
- 8.Norris JM, Barriga K, Klingensmith G, et al. . Timing of initial cereal exposure in infancy and risk of islet autoimmunity. JAMA 2003;290:1713–1720 [DOI] [PubMed] [Google Scholar]
- 9.François IE, Lescroart O, Veraverbeke WS, et al. . Effects of a wheat bran extract containing arabinoxylan oligosaccharides on gastrointestinal health parameters in healthy adult human volunteers: a double-blind, randomised, placebo-controlled, cross-over trial. Br J Nutr 2012;108:2229–2242 [DOI] [PubMed] [Google Scholar]
- 10.Virtanen SM, Räsänen L, Ylönen K, et al.; The Childhood in Diabetes in Finland Study Group . Early introduction of dairy products associated with increased risk of IDDM in Finnish children. Diabetes 1993;42:1786–1790 [DOI] [PubMed] [Google Scholar]
- 11.Wahlberg J, Vaarala O, Ludvigsson J; ABIS-study group . Dietary risk factors for the emergence of type 1 diabetes-related autoantibodies in 2½-year-old Swedish children. Br J Nutr 2006;95:603–608 [DOI] [PubMed] [Google Scholar]
- 12.Ziegler AG, Schmid S, Huber D, Hummel M, Bonifacio E. Early infant feeding and risk of developing type 1 diabetes-associated autoantibodies. JAMA 2003;290:1721–1728 [DOI] [PubMed] [Google Scholar]
- 13.Chmiel R, Beyerlein A, Knopff A, Hummel S, Ziegler AG, Winkler C. Early infant feeding and risk of developing islet autoimmunity and type 1 diabetes. Acta Diabetol 2015;52:621–624 [DOI] [PubMed] [Google Scholar]
- 14.Virtanen SM, Kenward MG, Erkkola M, et al. . Age at introduction of new foods and advanced beta cell autoimmunity in young children with HLA-conferred susceptibility to type 1 diabetes. Diabetologia 2006;49:1512–1521 [DOI] [PubMed] [Google Scholar]
- 15.Virtanen SM, Takkinen HM, Nevalainen J, et al. . Early introduction of root vegetables in infancy associated with advanced ß-cell autoimmunity in young children with human leukocyte antigen-conferred susceptibility to type 1 diabetes. Diabet Med 2011;28:965–971 [DOI] [PubMed] [Google Scholar]
- 16.Hakola L, Takkinen HM, Niinistö S, et al. . Infant feeding in relation to the risk of advanced islet autoimmunity and type 1 diabetes in children with HLA-conferred disease susceptibility to type 1 diabetes: a cohort study. Am J Epidemiol 2018;187:34–44 [DOI] [PubMed] [Google Scholar]
- 17.Nucci AM, Virtanen SM, Becker DJ. Infant feeding and timing of complementary foods in the development of type 1 diabetes. Curr Diab Rep 2015;15:62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Westerholm-Ormio M, Vaarala O, Pihkala P, Ilonen J, Savilahti E. Immunologic activity in the small intestinal mucosa of pediatric patients with type 1 diabetes. Diabetes 2003;52:2287–2295 [DOI] [PubMed] [Google Scholar]
- 19.Savilahti E, Akerblom HK, Tainio VM, Koskimies S. Children with newly diagnosed insulin dependent diabetes mellitus have increased levels of cow’s milk antibodies. Diabetes Res 1988;7:137–140 [PubMed] [Google Scholar]
- 20.Morris G, Berk M, Carvalho AF, Caso JR, Sanz Y, Maes M. The role of microbiota and intestinal permeability in the pathophysiology of autoimmune and neuroimmune processes with an emphasis on inflammatory bowel disease type 1 diabetes and chronic fatigue syndrome. Curr Pharm Des 2016;22:6058–6075 [DOI] [PubMed] [Google Scholar]
- 21.Li X, Atkinson MA. The role for gut permeability in the pathogenesis of type 1 diabetes—a solid or leaky concept? Pediatr Diabetes 2015;16:485–492 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.TEDDY Study Group The Environmental Determinants of Diabetes in the Young (TEDDY) study: study design. Pediatr Diabetes 2007;8:286–298 [DOI] [PubMed] [Google Scholar]
- 23.TEDDY Study Group The Environmental Determinants of Diabetes in the Young (TEDDY) Study. Ann N Y Acad Sci 2008;1150:1–13 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Hagopian WA, Erlich H, Lernmark A, et al.; TEDDY Study Group . The Environmental Determinants of Diabetes in the Young (TEDDY): genetic criteria and international diabetes risk screening of 421 000 infants. Pediatr Diabetes 2011;12:733–743 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Bonifacio E, Yu L, Williams AK, et al. . Harmonization of glutamic acid decarboxylase and islet antigen-2 autoantibody assays for National Institute of Diabetes and Digestive and Kidney Diseases consortia. J Clin Endocrinol Metab 2010;95:3360–3367 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Babaya N, Yu L, Miao D, et al. . Comparison of insulin autoantibody: polyethylene glycol and micro-IAA 1-day and 7-day assays. Diabetes Metab Res Rev 2009;25:665–670 [DOI] [PubMed] [Google Scholar]
- 27.Törn C, Mueller PW, Schlosser M, Bonifacio E, Bingley PJ; Participating Laboratories . Diabetes Antibody Standardization Program: evaluation of assays for autoantibodies to glutamic acid decarboxylase and islet antigen-2. Diabetologia 2008;51:846–852 [DOI] [PubMed] [Google Scholar]
- 28.Andrén Aronsson C, Uusitalo U, Vehik K, et al.; TEDDY Study Group . Age at first introduction to complementary foods is associated with sociodemographic factors in children with increased genetic risk of developing type 1 diabetes. Matern Child Nutr 2015;11:803–814 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Contal C, O’Quigley J. An application of change-point methods in studying the effect of age on survival in breast cancer. Comput Stat Data Anal 1999;30:253–270 [Google Scholar]
- 30.Andrén Aronsson C, Lee HS, Koletzko S, et al.; TEDDY Study Group . Effects of gluten intake on risk of celiac disease: a case-control study on a Swedish birth cohort. Clin Gastroenterol Hepatol 2016;14:403–409.e3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Uusitalo U, Liu X, Yang J, et al.; TEDDY Study Group . Association of early exposure of probiotics and islet autoimmunity in the TEDDY Study. JAMA Pediatr 2016;170:20–28 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Hummel S, Beyerlein A, Tamura R, et al.; TEDDY Study Group . First infant formula type and risk of islet autoimmunity in The Environmental Determinants of Diabetes in the Young (TEDDY) study. Diabetes Care 2017;40:398–404 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Funda DP, Kaas A, Bock T, Tlaskalová-Hogenová H, Buschard K. Gluten-free diet prevents diabetes in NOD mice. Diabetes Metab Res Rev 1999;15:323–327 [DOI] [PubMed] [Google Scholar]
- 34.Funda DP, Kaas A, Tlaskalová-Hogenová H, Buschard K. Gluten-free but also gluten-enriched (gluten+) diet prevent diabetes in NOD mice; the gluten enigma in type 1 diabetes. Diabetes Metab Res Rev 2008;24:59–63 [DOI] [PubMed] [Google Scholar]
- 35.Gorelick J, Yarmolinsky L, Budovsky A, et al. . The impact of diet wheat source on the onset of type 1 diabetes mellitus—lessons learned from the non-obese diabetic (NOD) mouse model. Nutrients 2017;9:482. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Vojdani A. Molecular mimicry as a mechanism for food immune reactivities and autoimmunity. Altern Ther Health Med 2015;21(Suppl. 1):34–45 [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.