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Fetal programming of early-onset type 2 diabetes : a Swedish nationwide cohort and sibling analysis

Amadou, Coralie ; Wei, Yuxia ; Tuomi, Tiinamaija LU orcid ; Feychting, Maria and Carlsson, Sofia (2025) In European Journal of Epidemiology 40(7). p.845-857
Abstract

Incidence of early-onset (< 40 years) type 2 diabetes (T2D) is increasing. While multiple risk factors have been identified, particularly obesity and low socioeconomic status, early-life factors are hypothesised to play a role via fetal programming. We investigated sociodemographic and early-life factors in relation to early-onset T2D using a family-based design that accounts for shared genetic and environmental factors. We included 1,814,062 individuals born in Sweden 1983 to 2002 with follow-up data until 2020, and identified early-onset (age 19–39) T2D cases (n = 3505) through National Diabetes, Patient and Prescribed Drug Registers. Perinatal and sociodemographic factors were retrieved from registers. We used a cohort and sibling... (More)

Incidence of early-onset (< 40 years) type 2 diabetes (T2D) is increasing. While multiple risk factors have been identified, particularly obesity and low socioeconomic status, early-life factors are hypothesised to play a role via fetal programming. We investigated sociodemographic and early-life factors in relation to early-onset T2D using a family-based design that accounts for shared genetic and environmental factors. We included 1,814,062 individuals born in Sweden 1983 to 2002 with follow-up data until 2020, and identified early-onset (age 19–39) T2D cases (n = 3505) through National Diabetes, Patient and Prescribed Drug Registers. Perinatal and sociodemographic factors were retrieved from registers. We used a cohort and sibling design, with multivariable-adjusted Cox proportional hazards regression. Sociodemographic factors associated with early-onset T2D included low parental education, single parenthood, younger parental age and non-Swedish origin. The latter association did not remain after mutual adjustment. Regarding perinatal factors, a higher incidence was noted in relation to lower birth weight (hazard ratio 2.38 [95% confidence interval: 1.98–2.87] and 1.43[1.33–1.54] for < 2500 g and 2500-3500 g, respectively, vs 3500-4500 g), small-for-gestational-age (SGA) (2.24[1.96–2.56]), large-for-gestational-age (LGA) (1.19[1.01–1.39]), and maternal obesity (2.34[2.04–2.69]), diabetes (1.59[1.36–1.85]), smoking (1.59[1.48–1.71]), and infection (1.21[1.03–1.41]) during pregnancy. In the sibling analysis, only low birth weight and SGA remained associated with early-onset T2D. Early-onset T2D is associated with sociodemographic and multiple perinatal factors; only growth restriction likely reflects fetal programming, while other perinatal-related associations might involve confounders. This study highlights the need for early-life, targeted strategies to prevent T2D and reduce health inequities.

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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Birth weight, Early-onset type 2 diabetes, Fetal programming, Maternal diabetes, Perinatal factors, Preterm birth
in
European Journal of Epidemiology
volume
40
issue
7
pages
13 pages
publisher
Springer
external identifiers
  • scopus:105009292504
  • pmid:40553354
ISSN
0393-2990
DOI
10.1007/s10654-025-01261-6
language
English
LU publication?
yes
additional info
Publisher Copyright: © The Author(s) 2025.
id
0d438b7a-27ee-4a79-a185-3dc0a757ee8c
date added to LUP
2025-12-15 12:50:38
date last changed
2025-12-16 03:00:14
@article{0d438b7a-27ee-4a79-a185-3dc0a757ee8c,
  abstract     = {{<p>Incidence of early-onset (&lt; 40 years) type 2 diabetes (T2D) is increasing. While multiple risk factors have been identified, particularly obesity and low socioeconomic status, early-life factors are hypothesised to play a role via fetal programming. We investigated sociodemographic and early-life factors in relation to early-onset T2D using a family-based design that accounts for shared genetic and environmental factors. We included 1,814,062 individuals born in Sweden 1983 to 2002 with follow-up data until 2020, and identified early-onset (age 19–39) T2D cases (n = 3505) through National Diabetes, Patient and Prescribed Drug Registers. Perinatal and sociodemographic factors were retrieved from registers. We used a cohort and sibling design, with multivariable-adjusted Cox proportional hazards regression. Sociodemographic factors associated with early-onset T2D included low parental education, single parenthood, younger parental age and non-Swedish origin. The latter association did not remain after mutual adjustment. Regarding perinatal factors, a higher incidence was noted in relation to lower birth weight (hazard ratio 2.38 [95% confidence interval: 1.98–2.87] and 1.43[1.33–1.54] for &lt; 2500 g and 2500-3500 g, respectively, vs 3500-4500 g), small-for-gestational-age (SGA) (2.24[1.96–2.56]), large-for-gestational-age (LGA) (1.19[1.01–1.39]), and maternal obesity (2.34[2.04–2.69]), diabetes (1.59[1.36–1.85]), smoking (1.59[1.48–1.71]), and infection (1.21[1.03–1.41]) during pregnancy. In the sibling analysis, only low birth weight and SGA remained associated with early-onset T2D. Early-onset T2D is associated with sociodemographic and multiple perinatal factors; only growth restriction likely reflects fetal programming, while other perinatal-related associations might involve confounders. This study highlights the need for early-life, targeted strategies to prevent T2D and reduce health inequities.</p>}},
  author       = {{Amadou, Coralie and Wei, Yuxia and Tuomi, Tiinamaija and Feychting, Maria and Carlsson, Sofia}},
  issn         = {{0393-2990}},
  keywords     = {{Birth weight; Early-onset type 2 diabetes; Fetal programming; Maternal diabetes; Perinatal factors; Preterm birth}},
  language     = {{eng}},
  number       = {{7}},
  pages        = {{845--857}},
  publisher    = {{Springer}},
  series       = {{European Journal of Epidemiology}},
  title        = {{Fetal programming of early-onset type 2 diabetes : a Swedish nationwide cohort and sibling analysis}},
  url          = {{http://dx.doi.org/10.1007/s10654-025-01261-6}},
  doi          = {{10.1007/s10654-025-01261-6}},
  volume       = {{40}},
  year         = {{2025}},
}