Literature DB >> 17351279

Short-term weight change and the incidence of diabetes in midlife: results from the Australian Longitudinal Study on Women's Health.

Gita D Mishra1, Gretchen Carrigan, Wendy J Brown, Adrian G Barnett, Annette J Dobson.   

Abstract

OBJECTIVE: Although there is consensus that excess adiposity is strongly associated with type 2 diabetes, its relationship with weight change is less clear. This study investigates the relative impact of BMI at baseline and short-term (2- or 3-year) weight changes on the incidence of diabetes. RESEARCH DESIGN AND METHODS: Prospective data were collected from a population-based cohort of middle-aged women participating in the Australian Longitudinal Study on Women's Health (n = 7,239 for this report). To date, participants have completed four mailed surveys (S1, 1996; S2, 1998; S3, 2001; and S4, 2004). Generalized estimating equations were used to model binary repeated-measures data to assess the impact of BMI at S1 and weight change (S1 to S2; S2 to S3) on 3-year incidence of diabetes at S3 and S4, respectively, adjusting for sociodemographic and lifestyle factors.
RESULTS: BMI at S1 was strongly associated with the development of diabetes by S3 or S4. Compared with women who had a BMI <25 kg/m2, those with BMI > or =25 kg/m2 had higher incidence of diabetes (P < 0.0001), with odd ratios reaching 12.1 (95% CI 7.6-19.3) for women in the very obese group (BMI > or =35 kg/m2). There was no association between shorter-term weight gain or weight loss on first-reported diagnosis of diabetes (P = 0.08).
CONCLUSIONS: Because women's risk of developing type 2 diabetes in midlife is more closely related to their initial BMI (when aged 45-50 years) than to subsequent short-term weight change, public health initiatives should target the prevention of weight gain before and during early adulthood.

Entities:  

Mesh:

Year:  2007        PMID: 17351279     DOI: 10.2337/dc06-2187

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  17 in total

1.  Menopause and risk of diabetes in the Diabetes Prevention Program.

Authors:  Catherine Kim; Sharon L Edelstein; Jill P Crandall; Dana Dabelea; Abbas E Kitabchi; Richard F Hamman; Maria G Montez; Leigh Perreault; Mary A Foulkes; Elizabeth Barrett-Connor
Journal:  Menopause       Date:  2011-08       Impact factor: 2.953

Review 2.  Diabetes and Menopause.

Authors:  Carrie A Karvonen-Gutierrez; Sung Kyun Park; Catherine Kim
Journal:  Curr Diab Rep       Date:  2016-04       Impact factor: 4.810

3.  Weight Gain, Overweight, and Obesity: Determinants and Health Outcomes from the Australian Longitudinal Study on Women's Health.

Authors:  S R Gomersall; A J Dobson; W J Brown
Journal:  Curr Obes Rep       Date:  2014-03

Review 4.  Body composition and cardiometabolic health across the menopause transition.

Authors:  Kara L Marlatt; Dori R Pitynski-Miller; Kathleen M Gavin; Kerrie L Moreau; Edward L Melanson; Nanette Santoro; Wendy M Kohrt
Journal:  Obesity (Silver Spring)       Date:  2022-01       Impact factor: 5.002

Review 5.  Association of weight status and the risks of diabetes in adults: a systematic review and meta-analysis of prospective cohort studies.

Authors:  Hong-Jie Yu; Mandy Ho; Xiangxiang Liu; Jundi Yang; Pui Hing Chau; Daniel Yee Tak Fong
Journal:  Int J Obes (Lond)       Date:  2022-02-23       Impact factor: 5.551

Review 6.  Modeling obesity histories in cohort analyses of health and mortality.

Authors:  Samuel H Preston; Neil K Mehta; Andrew Stokes
Journal:  Epidemiology       Date:  2013-01       Impact factor: 4.822

7.  Determinants of progression from impaired fasting glucose and impaired glucose tolerance to diabetes in a high-risk screened population: 3 year follow-up in the ADDITION study, Denmark.

Authors:  S S Rasmussen; C Glümer; A Sandbaek; T Lauritzen; K Borch-Johnsen
Journal:  Diabetologia       Date:  2007-12-05       Impact factor: 10.122

8.  Age at menopause, reproductive life span, and type 2 diabetes risk: results from the EPIC-InterAct study.

Authors:  Judith S Brand; Yvonne T van der Schouw; N Charlotte Onland-Moret; Stephen J Sharp; Ken K Ong; Kay-Tee Khaw; Eva Ardanaz; Pilar Amiano; Heiner Boeing; Maria-Dolores Chirlaque; Françoise Clavel-Chapelon; Francesca L Crowe; Blandine de Lauzon-Guillain; Eric J Duell; Guy Fagherazzi; Paul W Franks; Sara Grioni; Leif C Groop; Rudolf Kaaks; Timothy J Key; Peter M Nilsson; Kim Overvad; Domenico Palli; Salvatore Panico; J Ramón Quirós; Olov Rolandsson; Carlotta Sacerdote; María-José Sánchez; Nadia Slimani; Birgit Teucher; Anne Tjonneland; Rosario Tumino; Daphne L van der A; Edith J M Feskens; Claudia Langenberg; Nita G Forouhi; Elio Riboli; Nicholas J Wareham
Journal:  Diabetes Care       Date:  2012-12-10       Impact factor: 19.112

9.  Changes in Waist Circumference and the Incidence of Type 2 Diabetes in Community-Dwelling Men and Women: The Suita Study.

Authors:  Yukako Tatsumi; Makoto Watanabe; Michikazu Nakai; Yoshihiro Kokubo; Aya Higashiyama; Kunihiro Nishimura; Takashi Kobayashi; Misa Takegami; Yoko M Nakao; Takuya Watanabe; Akira Okayama; Tomonori Okamura; Yoshihiro Miyamoto
Journal:  J Epidemiol       Date:  2015-05-23       Impact factor: 3.211

10.  Do body mass index trajectories affect the risk of type 2 diabetes? A case-control study.

Authors:  Yoshihiko Mano; Hiroshi Yokomichi; Kohta Suzuki; Atsunori Takahashi; Yoshioki Yoda; Masahiro Tsuji; Miri Sato; Ryoji Shinohara; Sonoko Mizorogi; Mie Mochizuki; Zentaro Yamagata
Journal:  BMC Public Health       Date:  2015-07-28       Impact factor: 3.295

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.