AIMS/HYPOTHESIS: In people with prediabetes, lifestyle interventions and glucose-lowering medications are effective in preventing the progression to type 2 diabetes. It is unclear whether differences in treatment effects between men and women need to be taken into consideration when choosing a preventive strategy for an individual person. METHODS: We systematically searched PubMed, the Cochrane Library, EMBASE, CINAHL, Web of Science, and reference lists of pertinent review articles from 1980 to June 2013. We conducted random effects meta-analyses of published and unpublished data to determine differences of treatment effects between men and women. RESULTS: Twelve randomised control trials (RCTs) provided sex-specific information on treatment effects. Compared with usual care, men and women who received lifestyle interventions had a lower rate of progression to type 2 diabetes (RR 0.60 [95% CI 0.35, 1.05] after 1 year; RR 0.63 [95% CI 0.51, 0.79] after 3 years); greater weight reduction (-2.45 kg; [95% CI -3.56, -1.33 kg] after 3 years); and greater reductions of fasting plasma glucose (-0.31 mmol/l [95% CI -0.48, -0.15] after 3 years) and 2 h post-challenge-glucose (-0.68 mmol/l [95% CI -1.03, -0.34] after 3 years). No statistically significant differences in treatment effects between men and women were apparent for any outcomes (p values of all comparisons ≥ 0.09). CONCLUSIONS/ INTERPRETATION: Our study emphasises the importance of preventive interventions in people with prediabetes and indicates no differences of beneficial preventive effects on the incidence of type 2 diabetes and weight gain between men and women.
AIMS/HYPOTHESIS: In people with prediabetes, lifestyle interventions and glucose-lowering medications are effective in preventing the progression to type 2 diabetes. It is unclear whether differences in treatment effects between men and women need to be taken into consideration when choosing a preventive strategy for an individual person. METHODS: We systematically searched PubMed, the Cochrane Library, EMBASE, CINAHL, Web of Science, and reference lists of pertinent review articles from 1980 to June 2013. We conducted random effects meta-analyses of published and unpublished data to determine differences of treatment effects between men and women. RESULTS: Twelve randomised control trials (RCTs) provided sex-specific information on treatment effects. Compared with usual care, men and women who received lifestyle interventions had a lower rate of progression to type 2 diabetes (RR 0.60 [95% CI 0.35, 1.05] after 1 year; RR 0.63 [95% CI 0.51, 0.79] after 3 years); greater weight reduction (-2.45 kg; [95% CI -3.56, -1.33 kg] after 3 years); and greater reductions of fasting plasma glucose (-0.31 mmol/l [95% CI -0.48, -0.15] after 3 years) and 2 h post-challenge-glucose (-0.68 mmol/l [95% CI -1.03, -0.34] after 3 years). No statistically significant differences in treatment effects between men and women were apparent for any outcomes (p values of all comparisons ≥ 0.09). CONCLUSIONS/ INTERPRETATION: Our study emphasises the importance of preventive interventions in people with prediabetes and indicates no differences of beneficial preventive effects on the incidence of type 2 diabetes and weight gain between men and women.
Authors: X R Pan; G W Li; Y H Hu; J X Wang; W Y Yang; Z X An; Z X Hu; J Lin; J Z Xiao; H B Cao; P A Liu; X G Jiang; Y Y Jiang; J P Wang; H Zheng; H Zhang; P H Bennett; B V Howard Journal: Diabetes Care Date: 1997-04 Impact factor: 19.112
Authors: Jaana Lindström; Pirjo Ilanne-Parikka; Markku Peltonen; Sirkka Aunola; Johan G Eriksson; Katri Hemiö; Helena Hämäläinen; Pirjo Härkönen; Sirkka Keinänen-Kiukaanniemi; Mauri Laakso; Anne Louheranta; Marjo Mannelin; Merja Paturi; Jouko Sundvall; Timo T Valle; Matti Uusitupa; Jaakko Tuomilehto Journal: Lancet Date: 2006-11-11 Impact factor: 79.321
Authors: Jaana Lindström; Anne Louheranta; Marjo Mannelin; Merja Rastas; Virpi Salminen; Johan Eriksson; Matti Uusitupa; Jaakko Tuomilehto Journal: Diabetes Care Date: 2003-12 Impact factor: 19.112
Authors: M Gillett; P Royle; A Snaith; G Scotland; A Poobalan; M Imamura; C Black; M Boroujerdi; S Jick; L Wyness; P McNamee; A Brennan; N Waugh Journal: Health Technol Assess Date: 2012-08 Impact factor: 4.014
Authors: Linda Penn; Martin White; John Oldroyd; Mark Walker; K George M M Alberti; John C Mathers Journal: BMC Public Health Date: 2009-09-16 Impact factor: 3.295
Authors: Norbert Stefan; Harald Staiger; Robert Wagner; Jürgen Machann; Fritz Schick; Hans-Ulrich Häring; Andreas Fritsche Journal: Diabetologia Date: 2015-09-24 Impact factor: 10.122
Authors: Álvaro Fuentes-Merlos; Domingo Orozco-Beltrán; Jose A Quesada Rico; Raul Reina Journal: Int J Environ Res Public Health Date: 2021-06-28 Impact factor: 3.390
Authors: Mary Beth Weber; Harish Ranjani; Lisa R Staimez; Ranjit M Anjana; Mohammed K Ali; K M Venkat Narayan; Viswanathan Mohan Journal: Diabetes Care Date: 2016-08-08 Impact factor: 19.112