Literature DB >> 22223576

Longitudinal changes in BMI in older adults are associated with meat consumption differentially, by type of meat consumed.

Anne M J Gilsing1, Matty P Weijenberg, Laura A E Hughes, Ton Ambergen, Pieter C Dagnelie, R Alexandra Goldbohm, Piet A van den Brandt, Leo J Schouten.   

Abstract

Hypotheses regarding the role of meat consumption in body weight modulation are contradictory. Prospective studies on an association between meat consumption and BMI change are limited. We assessed the association between meat consumption and change in BMI over time in 3902 men and women aged 55-69 y from the Netherlands Cohort Study. Dietary intake was estimated at baseline using a FFQ. BMI was ascertained through baseline self-reported height (1986) and weight (1986, 1992, and 2000). Analyses were based on sex-specific categories of daily total fresh meat, red meat, beef, pork, minced meat, chicken, processed meat, and fish consumption at baseline. Linear mixed effect modeling adjusted for confounders was used to assess longitudinal associations. Significant cross-sectional differences in BMI between quintiles of total meat intake were observed (P-trend < 0.01; both sexes). No association between total fresh meat consumption and prospective BMI change was observed in men (BMI change highest vs. lowest quintile after 14 y: -0.06 kg/m²; P = 0.75) and women (BMI change: 0.26 kg/m²; P = 0.20). Men with the highest intake of beef experienced a significantly lower increase in BMI after 6 and 14 y than those with the lowest intake (BMI change after 14 y 0.60 kg/m²). After 14 y, a significantly higher increase in BMI was associated with higher intakes of pork in women (BMI change highest vs. lowest quintile: 0.47 kg/m²) and chicken in both sexes (BMI change highest vs. lowest category in both men and women: 0.36 kg/m²). The results remained similar when stratifying on median baseline BMI, and age-stratified analyses yielded mixed results. Differential BMI change effects were observed for several subtypes of meat. However, total meat consumption, or factors directly related to total meat intake, was not strongly associated with weight change during the 14-y prospective follow-up in this elderly population.

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Year:  2012        PMID: 22223576     DOI: 10.3945/jn.111.146258

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  8 in total

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Journal:  Am J Clin Nutr       Date:  2015-09-09       Impact factor: 7.045

Review 2.  A Whole Food Plant-Based Diet Is Effective for Weight Loss: The Evidence.

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Journal:  Am J Lifestyle Med       Date:  2020-04-03

Review 3.  Genomic Insights Into the Multiple Factors Controlling Abdominal Fat Deposition in a Chicken Model.

Authors:  Bahareldin A Abdalla; Jie Chen; Qinghua Nie; Xiquan Zhang
Journal:  Front Genet       Date:  2018-07-19       Impact factor: 4.599

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Authors:  Weiwei Chen; Ke Liu; Lin Huang; Yingying Mao; Chengping Wen; Ding Ye; Zhixing He
Journal:  Front Nutr       Date:  2022-09-06

5.  Risk factors for overweight and obesity among women of reproductive age in Dar es Salaam, Tanzania.

Authors:  Dominic Mosha; Heavenlight A Paulo; Mary Mwanyika-Sando; Innocent B Mboya; Isabel Madzorera; Germana H Leyna; Sia E Msuya; Till W Bärnighausen; Japhet Killewo; Wafaie W Fawzi
Journal:  BMC Nutr       Date:  2021-07-16

6.  Dietary source of saturated fat and percentage body fat of patients with type 2 diabetes mellitus: A cross-sectional study.

Authors:  Camila Kümmel Duarte; Ana Luiza Teixeira Dos Santos; Claudia Kirst; Graziela da S Nunes; Karine de Franceschi; Mirela Jobim de Azevedo; Themis Zelmanovitz
Journal:  Food Sci Nutr       Date:  2018-11-15       Impact factor: 2.863

7.  Decomposition of Gender Differences in Body Mass Index in Saudi Arabia using Unconditional Quantile Regression: Analysis of National-Level Survey Data.

Authors:  Mohammed Khaled Al-Hanawi; Gowokani Chijere Chirwa; Tony Mwenda Kamninga
Journal:  Int J Environ Res Public Health       Date:  2020-03-30       Impact factor: 3.390

8.  Animal Protein Intake Is Associated with General Adiposity in Adolescents: The Teen Food and Development Study.

Authors:  Gina Segovia-Siapco; Golandam Khayef; Peter Pribis; Keiji Oda; Ella Haddad; Joan Sabaté
Journal:  Nutrients       Date:  2019-12-31       Impact factor: 5.717

  8 in total

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