Literature DB >> 19197256

Prospective investigation of metabolic characteristics in relation to weight gain in older adults: the Hoorn Study.

Nicole M Wedick1, Marieke B Snijder, Jacqueline M Dekker, Robert J Heine, Coen D A Stehouwer, Giel Nijpels, Rob M van Dam.   

Abstract

The objective of this investigation was to determine the relation between baseline glucose, insulin, adiponectin, and leptin levels and subsequent 6-year weight and waist change in older men and women without diabetes in a prospective cohort study. Participants were 1,198 Dutch men and women without diabetes who were aged 50-77 years when baseline metabolic and anthropometric measurements were evaluated (1989-1991). Approximately 6 years later, body weight and waist circumference were re-measured at a follow-up examination (1996-1998). Metabolic variables (fasting plasma glucose, 2-h postchallenge plasma glucose, homeostasis model assessment of insulin resistance (HOMA-IR), adiponectin, and leptin) were evaluated as predictors of changes in weight and waist circumference. Postchallenge plasma glucose (mmol/l) significantly predicted less gain in both weight and waist circumference (beta = -0.28 kg, s.e. = 0.11; beta = -0.31 cm, s.e. = 0.14, respectively) during follow-up. Leptin (microg/l) significantly predicted greater increases in weight (beta = 0.29 kg, s.e. = 0.07) and waist (beta = 0.16 cm, s.e. = 0.08) among men and in waist among women (beta = 0.06 cm, s.e. = 0.02). Fasting plasma glucose (mmol/l) predicted an increase in waist among women (beta = 1.59 cm, s.e. = 0.63), but not in men (beta = -0.74 cm, s.e. = 0.55). Adiponectin and insulin did not predict weight or waist change. The authors conclude that lower postchallenge plasma glucose and higher fasting leptin levels significantly predicted long-term increases in weight and waist circumference. In contrast, measures of insulin resistance and adiponectin were not associated with weight change in this cohort of older persons without diabetes.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19197256     DOI: 10.1038/oby.2008.666

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  10 in total

1.  Increased oral processing and a slower eating rate increase glycaemic, insulin and satiety responses to a mixed meal tolerance test.

Authors:  Ai Ting Goh; Jie Ying Michelle Choy; Xin Hui Chua; Shalini Ponnalagu; Chin Meng Khoo; Clare Whitton; Rob Martinus van Dam; Ciarán Gerard Forde
Journal:  Eur J Nutr       Date:  2021-01-02       Impact factor: 5.614

Review 2.  In vitro skeletal muscle models for type 2 diabetes.

Authors:  Christina Y Sheng; Young Hoon Son; Jeongin Jang; Sung-Jin Park
Journal:  Biophys Rev (Melville)       Date:  2022-09-13

Review 3.  Pathogenesis of insulin resistance in skeletal muscle.

Authors:  Muhammad A Abdul-Ghani; Ralph A DeFronzo
Journal:  J Biomed Biotechnol       Date:  2010-04-26

4.  The association between waist circumference and risk of mortality considering body mass index in 65- to 74-year-olds: a meta-analysis of 29 cohorts involving more than 58 000 elderly persons.

Authors:  Ellen L de Hollander; Wanda Je Bemelmans; Hendriek C Boshuizen; Nele Friedrich; Henri Wallaschofski; Pilar Guallar-Castillón; Stefan Walter; M Carola Zillikens; Annika Rosengren; Lauren Lissner; Julie K Bassett; Graham G Giles; Nicola Orsini; Noor Heim; Marjolein Visser; Lisette Cpgm de Groot
Journal:  Int J Epidemiol       Date:  2012-03-31       Impact factor: 7.196

5.  Fasting Plasma Insulin at 5 Years of Age Predicted Subsequent Weight Increase in Early Childhood over a 5-Year Period-The Da Qing Children Cohort Study.

Authors:  Yan Yan Chen; Jin Ping Wang; Ya Yun Jiang; Hui Li; Ying Hua Hu; Kok Onn Lee; Guang Wei Li
Journal:  PLoS One       Date:  2015-06-05       Impact factor: 3.240

6.  Specific Metabolic Markers Are Associated with Future Waist-Gaining Phenotype in Women.

Authors:  Benedikt Merz; Ute Nöthlings; Simone Wahl; Marjolein Haftenberger; Anja Schienkiewitz; Jerzy Adamski; Karsten Suhre; Rui Wang-Sattler; Harald Grallert; Barbara Thorand; Tobias Pischon; Ursula Bachlechner; Anna Floegel; Annette Peters; Heiner Boeing
Journal:  PLoS One       Date:  2016-06-20       Impact factor: 3.240

7.  Leptin and Leptin-to-Adiponectin Ratio Predict Adiposity Gain in Nonobese Children over a Six-Year Period.

Authors:  Meixian Zhang; Hong Cheng; Xiaoyuan Zhao; Dongqing Hou; Yinkun Yan; Katherine Cianflone; Ming Li; Jie Mi
Journal:  Child Obes       Date:  2017-01-27       Impact factor: 2.992

Review 8.  Insulin translates unfavourable lifestyle into obesity.

Authors:  Hubert Kolb; Michael Stumvoll; Werner Kramer; Kerstin Kempf; Stephan Martin
Journal:  BMC Med       Date:  2018-12-13       Impact factor: 8.775

9.  Using metabolite profiling to construct and validate a metabolite risk score for predicting future weight gain.

Authors:  Nina Geidenstam; Yu-Han H Hsu; Christina M Astley; Josep M Mercader; Martin Ridderstråle; Maria E Gonzalez; Clicerio Gonzalez; Joel N Hirschhorn; Rany M Salem
Journal:  PLoS One       Date:  2019-09-27       Impact factor: 3.240

10.  Guava leaf extracts promote glucose metabolism in SHRSP.Z-Leprfa/Izm rats by improving insulin resistance in skeletal muscle.

Authors:  Xiangyu Guo; Hisae Yoshitomi; Ming Gao; Lingling Qin; Ying Duan; Wen Sun; Tunhai Xu; Peifeng Xie; Jingxin Zhou; Liansha Huang; Tonghua Liu
Journal:  BMC Complement Altern Med       Date:  2013-03-01       Impact factor: 3.659

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.