Literature DB >> 34686887

Tracking of dietary patterns between pregnancy and 6 years post-pregnancy in a multiethnic Asian cohort: the Growing Up in Singapore Towards healthy Outcomes (GUSTO) study.

Yu Qi Lee1, Marjorelee Colega2, Ray Sugianto3, Jun Shi Lai2, Keith M Godfrey4, Kok Hian Tan5,6, Lynette Pei-Chi Shek2,7, See Ling Loy6,8, Falk Müller-Riemenschneider3,9, Natarajan Padmapriya3,10, Yap Seng Chong2,10, Johan Gunnar Eriksson2,10,11,12, Jerry Kok Yen Chan6,8, Shiao-Yng Chan2,10, Bee Choo Tai3, Mary Foong-Fong Chong3,2.   

Abstract

PURPOSE: Few studies have described adherence to dietary patterns over time in women of childbearing age. This study aims to describe, examine the stability and changes in dietary patterns between pregnancy and 6 years post-pregnancy and the sociodemographic and lifestyle factors influencing the adherence over time.
METHODS: During pregnancy and at 6 years post-pregnancy, 24-h recalls and food frequency questionnaires were collected, respectively, from 709 women. Data on sociodemographic and lifestyle factors were collected via questionnaires. Dietary patterns were identified using principal component analysis and stability assessed using Pearson's correlation coefficients (r) and Cohen's weighted kappa (κ). Associations with sociodemographic characteristics were assessed by multiple logistic regression.
RESULTS: The 'Fruits, Vegetables and Legumes' (FVL) and 'Seafood, Noodle, Soup' (SNS) patterns were identified at both time points, with low correlation for the dietary pattern z scores (r 0.2 and 0.3, respectively) and modest agreement in tertile assignment, suggesting poor stability. An 'unhealthy' pattern was only observed at 6 years post-pregnancy. Women who showed increased adherence to FVL pattern had higher educational attainment and exhibited healthy lifestyle behaviours. Women who had gestational diabetes during pregnancy were less likely to decrease adherence to FVL pattern over time. Women who adhered more closely to the 'unhealthy' pattern at 6 years post-pregnancy tended to be younger, of Malay ethnicity, had lower socioeconomic status, were less physically active and had additional pregnancies.
CONCLUSIONS: Dietary habits of women became less healthy during the transition from pregnancy to 6 years post-pregnancy. However, results should be interpreted with caution due to the different dietary assessment tools used at the two time points.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.

Entities:  

Keywords:  Dietary patterns; Post-pregnancy; Pregnancy; Principal component analysis; Tracking; Woman

Mesh:

Year:  2021        PMID: 34686887      PMCID: PMC7612407          DOI: 10.1007/s00394-021-02703-z

Source DB:  PubMed          Journal:  Eur J Nutr        ISSN: 1436-6207            Impact factor:   4.865


  86 in total

1.  Socio-economic differences in fruit and vegetable consumption among Australian adolescents and adults.

Authors:  Katrina Giskes; Gavin Turrell; Carla Patterson; Beth Newman
Journal:  Public Health Nutr       Date:  2002-10       Impact factor: 4.022

2.  Longitudinal dietary changes between 1984-5 and 1991-2 in British adults: association with socio-demographic, lifestyle and health factors.

Authors:  A T Prevost; M J Whichelow; B D Cox
Journal:  Br J Nutr       Date:  1997-12       Impact factor: 3.718

3.  A posteriori dietary patterns: how many patterns to retain?

Authors:  Heidi P Fransen; Anne M May; Martin D Stricker; Jolanda M A Boer; Christian Hennig; Yves Rosseel; Marga C Ocké; Petra H M Peeters; Joline W J Beulens
Journal:  J Nutr       Date:  2014-05-28       Impact factor: 4.798

4.  Identification of dietary patterns using factor analysis in an epidemiological study in São Paulo.

Authors:  Dirce Maria Lobo Marchioni; Maria do Rosário Dias de Oliveira Latorre; José Eluf-Neto; Victor Wünsch-Filho; Regina Mara Fisberg
Journal:  Sao Paulo Med J       Date:  2005-07-08       Impact factor: 1.044

5.  A longitudinal study of food intake patterns and obesity in adult Danish men and women.

Authors:  P Togo; M Osler; T I A Sørensen; B L Heitmann
Journal:  Int J Obes Relat Metab Disord       Date:  2004-04

6.  When and how should multiple imputation be used for handling missing data in randomised clinical trials - a practical guide with flowcharts.

Authors:  Janus Christian Jakobsen; Christian Gluud; Jørn Wetterslev; Per Winkel
Journal:  BMC Med Res Methodol       Date:  2017-12-06       Impact factor: 4.615

Review 7.  User's guide to correlation coefficients.

Authors:  Haldun Akoglu
Journal:  Turk J Emerg Med       Date:  2018-08-07

8.  Preventing type 2 diabetes after gestational diabetes: women's experiences and implications for diabetes prevention interventions.

Authors:  M L S Lie; L Hayes; N J Lewis-Barned; C May; M White; R Bell
Journal:  Diabet Med       Date:  2013-04-19       Impact factor: 4.359

9.  Socioeconomic differences in purchases of more vs. less healthy foods and beverages: analysis of over 25,000 British households in 2010.

Authors:  Rachel Pechey; Susan A Jebb; Michael P Kelly; Eva Almiron-Roig; Susana Conde; Ryota Nakamura; Ian Shemilt; Marc Suhrcke; Theresa M Marteau
Journal:  Soc Sci Med       Date:  2013-06-03       Impact factor: 4.634

Review 10.  Influences on adherence to diet and physical activity recommendations in women and children: insights from six European studies.

Authors:  Hazel Inskip; Janis Baird; Mary Barker; Annette L Briley; Stefania D'Angelo; Veit Grote; Berthold Koletzko; Wendy Lawrence; Yannis Manios; George Moschonis; George P Chrousos; Lucilla Poston; Keith Godfrey
Journal:  Ann Nutr Metab       Date:  2014-10-02       Impact factor: 3.374

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.