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1. Maternal Age And Risk Of Type 1 Diabetes In Children

Author

Byrnes, Graham, Patterson, C. C., Dahlquist, G., Soltész, G., Gunn, Alistair J., Cutfield, Wayne S., Hofman, Paul L., Jeferries, Craig, Stene, Lars Christian, Joner, Geir, Bingley, Polly J., and Gale, Edwin A. M.

Published
2001

4. Trends in childhood type 1 diabetes incidence in Europe during 1989–2008: evidence of non-uniformity over time in rates of increase

Author

Patterson, C. C., Gyürüs, E., Rosenbauer, J., Cinek, O., Neu, A., Schober, E., Parslow, R. C., Joner, G., Svensson, J., Castell, C., Bingley, P. J., Schoenle, E., Jarosz-Chobot, P., Urbonaité, B., Rothe, U., Krzisnik, C., Ionescu-Tirgoviste, C., Weets, I., Kocova, M., Stipancic, G., Samardzic, M., de Beaufort, C. E., Green, A, Dahlquist, G. G., and Soltész, G.

Published
2012
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45. Incidence and trends of childhood Type 1 diabetes worldwide 1990–1999

Author

THE DIAMOND PROJECT GROUP, BESSAOUD K, BOUDRAA G, DE ROPOLO MM, DE SEREDAY M, MARTI ML, MOSER M, LAPERTOSA S, DAMIANO M, VERGE C, HOWARD N, SCHOBER E, JORDAN O, WEETS I, GORUS F, COECKELBERGHS M, ROOMAN R, VAN GAAL L, FRANCO LJ, FERREIRA SRG, LISBOA HPK, KURTZ LA, GRAEBIN R, KUTZKE L, RODRIGES C, SAVOVA R, CHRISTOV V, IOTOVA V, TZANEVA V, PACAUD D, TOTH E, TAN MH, CARRASCO E, PEREZ F, ZE Y, BO Y, CHEN S, FU L, DENG L, SHEN S, TENG K, WANG C, JIAN H, JU J, YAN C, DENG Y, LI C, ZHANG Y, LIU Y, LONG X, ZHEN Z, SUN Z, WANG B, WONG G, ORREGO OV, ASCHNER P, DIAZ DIAZ O, DE ACOSTA OM, CINEK O, VAVRINEC J, OLSEN BS, SVENDSEN AJ, KREUTZFELDT J, LUND E, TULL ES, SELMAN GEARA A, ALMONTE AS, PODAR T, TUOMILEHTO J, KARVONEN M, NOTKOLA IL, MOLTCHANOVA E, TASKINEN O, LEVY MARCHAL C, CZERNICHOW P, KOCAVA M, NEU A, EHEHALT S, ROSENBAUER J, GIANI G, ICKS A, BARTSOCAS C, VAZEOU A, SOLTESZ G, LARON Z, GORDON O, ALBAG Y, SHAMIS I, PURRELLO F, ARPI M, FICHERA G, MANCUSO M, LUCENTI C, CHIUMELLO G, BRUNO G, PAGANO G, SONGINI M, CASU A, MARINARO A, FRONGIA P, ZEDDA MA, MILIA A, TENCONI MT, POZZILLI P, VISALLI N, SEBASTIANI L, MARIETTI G, BUZZETTI R, CHERUBINI V, OKUNO A, HARADA S, MATSUURA N, MIKI E, MIYAMOTO S, SASAKI N, MIMURA G, SHALTOUT A, QABAZRD M, AL KHAWARI M, BRIGIS G, DZIVITE I, KADIKI O, URBONAITE B, DE BEAUFORT C, GAREEBOO H, RUEDA OA, REESER M, ELLIOTT R, SCOTT R, WILLIS J, DARLOW B, JONER G, RAFIQUE G, JAWAD F, JIMENEZ J, PALACIOS CM, CANETE F, VERA J, ALMIRON R, BENITEZ GE, ESPINOLA CS, SECLEN S, WOZNICKA D, SZYBINSKI Z, PLACZKIEWICZ E, JAROSZ CHOBOT P, MENEZES C, PINA EA, RUAS MMA, RODRIGUES FJC, ABREU S, IONESCU TIRGOVISTE C, SHUBNIKOV E, MICHALKOVA D, BARK L, HLAVA P, MIKULECKY M, KRZISNIK C, BATTELINO T, URSIC NB, KOTNIK P, KO KW, CASTELL C, GODAY A, MAGZOUB M, DAHLQUIST G, SCHOENLE E, NAGATI K, KHALIFA FB, BURDEN A, RAYMOND N, MILLWARD BA, ZHAO H, PATTERSON CC, CARSON D, HADDEN D, SMAIL P, MCSPORRAN B, WAUGH N, BINGLEY P, MCKINNEY PA, FELTBOWER RG, BODANSKY HJ, CAMPBELL F, LAPORTE RE, LIBMAN I, ROSEMAN J, RAHMAN SMA, DE LLADO TF, LIPTON R, JORGE AM, GUNCZLER P, LANES R., DEVOTI, Gabriele, THE DIAMOND PROJECT, Group, Bessaoud, K, Boudraa, G, DE ROPOLO, Mm, DE SEREDAY, M, Marti, Ml, Moser, M, Lapertosa, S, Damiano, M, Verge, C, Howard, N, Schober, E, Jordan, O, Weets, I, Gorus, F, Coeckelberghs, M, Rooman, R, VAN GAAL, L, Franco, Lj, Ferreira, Srg, Lisboa, Hpk, Kurtz, La, Graebin, R, Kutzke, L, Rodriges, C, Savova, R, Christov, V, Iotova, V, Tzaneva, V, Pacaud, D, Toth, E, Tan, Mh, Carrasco, E, Perez, F, Ze, Y, Bo, Y, Chen, S, Fu, L, Deng, L, Shen, S, Teng, K, Wang, C, Jian, H, Ju, J, Yan, C, Deng, Y, Li, C, Zhang, Y, Liu, Y, Long, X, Zhen, Z, Sun, Z, Wang, B, Wong, G, Orrego, Ov, Aschner, P, DIAZ DIAZ, O, DE ACOSTA, Om, Cinek, O, Vavrinec, J, Olsen, B, Svendsen, Aj, Kreutzfeldt, J, Lund, E, Tull, E, SELMAN GEARA, A, Almonte, A, Podar, T, Tuomilehto, J, Karvonen, M, Notkola, Il, Moltchanova, E, Taskinen, O, LEVY MARCHAL, C, Czernichow, P, Kocava, M, Neu, A, Ehehalt, S, Rosenbauer, J, Giani, G, Icks, A, Bartsocas, C, Vazeou, A, Soltesz, G, Laron, Z, Gordon, O, Albag, Y, Shamis, I, Purrello, F, Arpi, M, Fichera, G, Mancuso, M, Lucenti, C, Chiumello, G, Bruno, G, Pagano, G, Songini, M, Casu, A, Marinaro, A, Frongia, P, Zedda, Ma, Milia, A, Tenconi, Mt, Devoti, Gabriele, Pozzilli, P, Visalli, N, Sebastiani, L, Marietti, G, Buzzetti, R, Cherubini, V, Okuno, A, Harada, S, Matsuura, N, Miki, E, Miyamoto, S, Sasaki, N, Mimura, G, Shaltout, A, Qabazrd, M, AL KHAWARI, M, Brigis, G, Dzivite, I, Kadiki, O, Urbonaite, B, DE BEAUFORT, C, Gareeboo, H, Rueda, Oa, Reeser, M, Elliott, R, Scott, R, Willis, J, Darlow, B, Joner, G, Rafique, G, Jawad, F, Jimenez, J, Palacios, Cm, Canete, F, Vera, J, Almiron, R, Benitez, Ge, Espinola, C, Seclen, S, Woznicka, D, Szybinski, Z, Placzkiewicz, E, JAROSZ CHOBOT, P, Menezes, C, Pina, Ea, Ruas, Mma, Rodrigues, Fjc, Abreu, S, IONESCU TIRGOVISTE, C, Shubnikov, E, Michalkova, D, Bark, L, Hlava, P, Mikulecky, M, Krzisnik, C, Battelino, T, Ursic, Nb, Kotnik, P, Ko, Kw, Castell, C, Goday, A, Magzoub, M, Dahlquist, G, Schoenle, E, Nagati, K, Khalifa, Fb, Burden, A, Raymond, N, Millward, Ba, Zhao, H, Patterson, Cc, Carson, D, Hadden, D, Smail, P, Mcsporran, B, Waugh, N, Bingley, P, Mckinney, Pa, Feltbower, Rg, Bodansky, Hj, Campbell, F, Laporte, Re, Libman, I, Roseman, J, Rahman, Sma, DE LLADO, Tf, Lipton, R, Jorge, Am, Gunczler, P, and Lanes, R.

Subjects
Male, Adolescent, type 1 diabetes, Incidence, Endocrinology, Diabetes and Metabolism, Infant, Newborn, Infant, Global Health, World Health Organization, trend, Diabetes Mellitus, Type 1, Endocrinology, Child, Preschool, geographical distribution, incidence, Internal Medicine, Humans, epidemiology, Female, Child
Abstract

Aims. To examine incidence and trends of Type 1 diabetes worldwide for the period 1990–1999. Methods. The incidence of Type 1 diabetes (per 100000/year) was analysed in children aged ≤ 14 years from 114 populations in 112 centres in 57 countries. Trends in the incidence of Type 1 diabetes were analysed by fitting Poisson regression models to the dataset. Results. A total of 43013 cases were diagnosed in the study populations of 84 million children. The age-adjusted incidence of Type 1 diabetes among 112 centres (114 populations) varied from 0.1 per 100000/year in China and Venezuela to 40.9 per 100000/year in Finland. The average annual increase in incidence calculated from 103 centres was 2.8% (95% CI 2.4–3.2%). During the years 1990–1994, this increase was 2.4% (95% CI 1.3–3.4%) and during the second study period of 1995–1999 it was slightly higher at 3.4% (95% CI 2.7– 4.3%). The trends estimated for continents showed statistically significant increases all over the world (4.0% in Asia, 3.2% in Europe and 5.3% in North America), except in Central America and the West Indies where the trend was a decrease of 3.6%. Only among the European populations did the trend in incidence diminish with age. Conclusions. The rising incidence of Type 1 diabetes globally suggests the need for continuous monitoring of incidence by using standardized methods in order to plan or assess prevention strategies.

Published
2006
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49. Seasonal variation in month of diagnosis in children with type 1 diabetes registered in 23 European centers during 1989-2008: little short-term influence of sunshine hours or average temperature

Author

Patterson, C., Gyürüs, E., Rosenbauer, J., Cinek, O., Neu, A., Schober, E., Parslow, R., Joner, G., Svensson, J., Castell, C., Bingley, P., Schoenle, E., Jarosz-Chobot, P., Urbonaité, B., Rothe, U., Kržišnik, C., Ionescu-Tirgoviste, C., Weets, I., Kocova, M., Stipancic, G., Samardzic, M., De Beaufort, Carine, Green, A., Soltész, G., Dahlquist, G., Patterson, C., Gyürüs, E., Rosenbauer, J., Cinek, O., Neu, A., Schober, E., Parslow, R., Joner, G., Svensson, J., Castell, C., Bingley, P., Schoenle, E., Jarosz-Chobot, P., Urbonaité, B., Rothe, U., Kržišnik, C., Ionescu-Tirgoviste, C., Weets, I., Kocova, M., Stipancic, G., Samardzic, M., De Beaufort, Carine, Green, A., Soltész, G., and Dahlquist, G.

Abstract

BACKGROUND: The month of diagnosis in childhood type 1 diabetes shows seasonal variation. OBJECTIVE: We describe the pattern and investigate if year-to-year irregularities are associated with meteorological factors using data from 50 000 children diagnosed under the age of 15 yr in 23 population-based European registries during 1989-2008. METHODS: Tests for seasonal variation in monthly counts aggregated over the 20 yr period were performed. Time series regression was used to investigate if sunshine hour and average temperature data were predictive of the 240 monthly diagnosis counts after taking account of seasonality and long term trends. RESULTS: Significant sinusoidal pattern was evident in all but two small centers with peaks in November to February and relative amplitudes ranging from ± 11 to ± 38% (median ± 17%). However, most centers showed significant departures from a sinusoidal pattern. Pooling results over centers, there was significant seasonal variation in each age-group at diagnosis, with least seasonal variation in those under 5 yr. Boys showed greater seasonal variation than girls, particularly those aged 10-14 yr. There were no differences in seasonal pattern between four 5-yr sub-periods. Departures from the sinusoidal trend in monthly diagnoses in the period were significantly associated with deviations from the norm in average temperature (0.8% reduction in diagnoses per 1 °C excess) but not with sunshine hours. CONCLUSIONS: Seasonality was consistently apparent throughout the period in all age-groups and both sexes, but girls and the under 5 s showed less marked variation. Neither sunshine hour nor average temperature data contributed in any substantial way to explaining departures from the sinusoidal pattern.

Published
2015
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50. Seasonal variation in month of diagnosis in children with type 1 diabetes registered in 23 European centers during 1989-2008:little short-term influence of sunshine hours or average temperature

Author

Patterson, C C, Gyürüs, E, Rosenbauer, J, Cinek, O, Neu, A, Schober, E, Parslow, R C, Joner, G, Svensson, J, Castell, C, Bingley, P J, Schoenle, E, Jarosz-Chobot, P, Urbonaité, B, Rothe, U, Kržišnik, C, Ionescu-Tirgoviste, C, Weets, I, Kocova, M, Stipancic, G, Samardzic, M, de Beaufort, C E, Green, A, Soltész, G, Dahlquist, G G, Patterson, C C, Gyürüs, E, Rosenbauer, J, Cinek, O, Neu, A, Schober, E, Parslow, R C, Joner, G, Svensson, J, Castell, C, Bingley, P J, Schoenle, E, Jarosz-Chobot, P, Urbonaité, B, Rothe, U, Kržišnik, C, Ionescu-Tirgoviste, C, Weets, I, Kocova, M, Stipancic, G, Samardzic, M, de Beaufort, C E, Green, A, Soltész, G, and Dahlquist, G G

Abstract

BACKGROUND: The month of diagnosis in childhood type 1 diabetes shows seasonal variation.OBJECTIVE: We describe the pattern and investigate if year-to-year irregularities are associated with meteorological factors using data from 50 000 children diagnosed under the age of 15 yr in 23 population-based European registries during 1989-2008.METHODS: Tests for seasonal variation in monthly counts aggregated over the 20 yr period were performed. Time series regression was used to investigate if sunshine hour and average temperature data were predictive of the 240 monthly diagnosis counts after taking account of seasonality and long term trends.RESULTS: Significant sinusoidal pattern was evident in all but two small centers with peaks in November to February and relative amplitudes ranging from ± 11 to ± 38% (median ± 17%). However, most centers showed significant departures from a sinusoidal pattern. Pooling results over centers, there was significant seasonal variation in each age-group at diagnosis, with least seasonal variation in those under 5 yr. Boys showed greater seasonal variation than girls, particularly those aged 10-14 yr. There were no differences in seasonal pattern between four 5-yr sub-periods. Departures from the sinusoidal trend in monthly diagnoses in the period were significantly associated with deviations from the norm in average temperature (0.8% reduction in diagnoses per 1 °C excess) but not with sunshine hours.CONCLUSIONS: Seasonality was consistently apparent throughout the period in all age-groups and both sexes, but girls and the under 5 s showed less marked variation. Neither sunshine hour nor average temperature data contributed in any substantial way to explaining departures from the sinusoidal pattern.

Published
2015

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