Age-Period-Cohort Analysis of 1990–2003 Incidence Time Trends of Childhood Diabetes in Italy

Author:

Bruno Graziella1,Maule Milena2,Merletti Franco2,Novelli Giulia1,Falorni Alberto3,Iannilli Antonio4,Iughetti Lorenzo5,Altobelli Emma6,d'Annunzio Giuseppe7,Piffer Silvano8,Pozzilli Paolo9,Iafusco Dario10,Songini Marco11,Roncarolo Federico12,Toni Sonia13,Carle Flavia14,Cherubini Valentino4,

Affiliation:

1. Department of Internal Medicine, University of Turin, Turin, Italy;

2. Cancer Epidemiology Unit, CeRMS and CPO Piemonte, University of Turin, Turin, Italy;

3. Department of Internal Medicine, University of Perugia, Perugia, Italy;

4. Department of Pediatrics, Polytechnic University of Marche, Ancona, Italy;

5. Department of Pediatrics, University of Modena, Modena, Italy;

6. Department of Epidemiology, University of L'Aquila, L'Aquila, Italy;

7. Department of Pediatrics, University of Genova, Genova, Italy;

8. Unit of Observational Epidemiology, Trento, Italy;

9. Università Campus Bio-Medico, University of Rome, Rome, Italy;

10. Department of Pediatrics, University of Napoli, Napoli, Italy;

11. S. Michele Hospital, Cagliari, Italy;

12. Department of Preventive Medicine, University of Pavia, Pavia, Italy;

13. Department of Pediatrics, University of Florence, Florence, Italy;

14. Department of Epidemiology, Biostatistics and Medical Information Technology, Polytechnic University of Marche, Ancona, Italy.

Abstract

OBJECTIVE To investigate age-period-cohort effects on the temporal trend of type 1 diabetes in children age 0–14 years in Italian registries. RESEARCH DESIGN AND METHODS This report is based on 5,180 incident cases in the period 1990–2003 from the Registry for Type 1 Diabetes Mellitus in Italy (RIDI). Multilevel (random intercept) Poisson regression models were used to model the effects of sex, age, calendar time, and birth cohorts on temporal trends, taking into account the registry-level variance component. RESULTS The incidence rate was 12.26 per 100,000 person-years and significantly higher in boys (13.13 [95% CI 12.66–13.62]) than in girls (11.35 [10.90–11.82]). Large geographical variations in incidence within Italy were evident; incidence was highest in Sardinia, intermediate in Central-Southern Italy, and high in Northern Italy, particularly in the Trento Province, where the incidence rate was 18.67 per 100,000 person-years. An increasing temporal trend was evident (2.94% per year [95% CI 2.22–3.67]). With respect to the calendar period 1990–1992, the incidence rates increased linearly by 15, 27, 35, and 40% in the following time periods (P for trend < 0.001). With respect to the 1987–1993 birth cohort, the incidence rate ratio increased approximately linearly from 0.63 (95% CI 0.54–0.73) in the 1975–1981 cohort to 1.38 (1.06–1.80) in the 1999–2003 cohort. The best model, however, included sex, age, and a linear time trend (drift). CONCLUSIONS Large geographical variations and an increasing temporal trend in diabetes incidence are evident among type 1 diabetic children in Italy. Age-period-cohort analysis shows that the variation over time has a linear component that cannot be ascribed to either the calendar period or the birth cohort.

Publisher

American Diabetes Association

Subject

Endocrinology, Diabetes and Metabolism,Internal Medicine

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