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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

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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.

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Abbreviations

T2D:

Type 2 diabetes

GUSTO:

Growing Up in Singapore Toward healthy Outcomes

BMI:

Body mass index

GDM:

Gestational diabetes mellitus

GWG:

Gestational weight gain

PPWR:

Postpartum weight retention

OGTT:

Oral glucose tolerance test

HCS:

Healthy choice symbol

FFQ:

Food Frequency Questionnaire

References

  1. Barker DJP, Godfrey KM, Gluckman PD, Harding JE, Owens JA, Robinson JS (1993) Fetal nutrition and cardiovascular disease in adult life. Lancet 341(8850):938–941

    CAS  PubMed  Google Scholar 

  2. Hales CN, Barker DJ (2001) The thrifty phenotype hypothesis. Br Med Bull 60:5–20

    CAS  PubMed  Google Scholar 

  3. Harding JE (2001) The nutritional basis of the fetal origins of adult disease. Int J Epidemiol 30(1):15–23

    CAS  PubMed  Google Scholar 

  4. Gluckman PD, Hanson MA, Cooper C, Thornburg KL (2008) Effect of in utero and early-life conditions on adult health and disease. N Engl J Med 359(1):61–73

    CAS  PubMed  PubMed Central  Google Scholar 

  5. Godfrey K (2006) The ‘developmental origins’ hypothesis: epidemiology. In: Hanson M, Gluckman P (eds) Developmental origins of health and disease. Cambridge University Press, Cambridge, pp 6–32

    Google Scholar 

  6. Boghossian NS, Yeung EH, Lipsky LM, Poon AK, Albert PS (2013) Dietary patterns in association with postpartum weight retention. Am J Clin Nutr 97(6):1338–1345

    CAS  PubMed  PubMed Central  Google Scholar 

  7. Rong K, Yu K, Han X, Szeto IM, Qin X, Wang J, Ning Y, Wang P, Ma D (2015) Pre-pregnancy BMI, gestational weight gain and postpartum weight retention: a meta-analysis of observational studies. Public Health Nutr 18(12):2172–2182

    PubMed  Google Scholar 

  8. Endres LK, Straub H, McKinney C, Plunkett B, Minkovitz CS, Schetter CD, Ramey S, Wang C, Hobel C, Raju T, Shalowitz MU, Community Child Health Network of the Eunice Kennedy Shriver National Institute of Child H, Human D (2015) Postpartum weight retention risk factors and relationship to obesity at 1 year. Obstetrics Gynecol 125(1):144–152

    Google Scholar 

  9. Birch LL, Davison KK (2001) Family environmental factors influencing the developing behavioral controls of food intake and childhood overweight. Pediatr Clin N Am 48(4):893–907

    CAS  Google Scholar 

  10. Wansink B (2006) Nutritional gatekeepers and the 72% solution. J Am Diet Assoc 106(9):1324–1327

    PubMed  Google Scholar 

  11. Ventura AK, Birch LL (2008) Does parenting affect children’s eating and weight status? Int J Behav Nutr Phys Activity 5:15

    Google Scholar 

  12. Twisk JWR, Kemper HCG, Mellenbergh GJ (1994) Mathematical and analytical aspects of tracking. Epidemiol Rev 16(2):165–183

    CAS  PubMed  Google Scholar 

  13. Tucker KL (2010) Dietary patterns, approaches, and multicultural perspective. Appl Physiol Nutr Metab 35(2):211–218

    PubMed  Google Scholar 

  14. Mikkila V, Rasanen L, Raitakari OT, Pietinen P, Viikari J (2005) Consistent dietary patterns identified from childhood to adulthood: the cardiovascular risk in Young Finns Study. Br J Nutr 93(6):923–931

    CAS  PubMed  Google Scholar 

  15. Borland SE, Robinson SM, Crozier SR, Inskip HM, the SWSSG (2008) Stability of dietary patterns in young women over a 2-year period. Eur J Clin Nutr 62(1):119–126

    CAS  PubMed  Google Scholar 

  16. Togo P, Osler M, Sørensen TIA, Heitmann BL (2004) A longitudinal study of food intake patterns and obesity in adult Danish men and women. Int J Obes 28(4):583–593

    CAS  Google Scholar 

  17. Crozier SR, Robinson SM, Godfrey KM, Cooper C, Inskip HM (2009) Women’s dietary patterns change little from before to during pregnancy. J Nutr 139(10):1956–1963

    CAS  PubMed  Google Scholar 

  18. Movassagh EZ, Baxter-Jones ADG, Kontulainen S, Whiting SJ, Vatanparast H (2017) Tracking dietary patterns over 20 years from childhood through adolescence into young adulthood: the Saskatchewan pediatric bone mineral accrual study. Nutrients 9(9):990

    PubMed Central  Google Scholar 

  19. Johns DJ, Lindroos AK, Jebb SA, Sjöström L, Carlsson LMS, Ambrosini GL (2014) Tracking of a dietary pattern and its components over 10-years in the severely obese. PLoS ONE 9(5):e97457–e97457

    PubMed  PubMed Central  Google Scholar 

  20. Lee YQ, Loh J, Ang RSE, Chong MF-F (2020) Tracking of maternal diet from pregnancy to postpregnancy: a systematic review of observational studies. Curr Dev Nutr. https://doi.org/10.1093/cdn/nzaa118

    Article  PubMed  PubMed Central  Google Scholar 

  21. Northstone K, Emmett PM (2008) A comparison of methods to assess changes in dietary patterns from pregnancy to 4 years post-partum obtained using principal components analysis. Br J Nutr 99(5):1099–1106

    CAS  PubMed  Google Scholar 

  22. Cucó G, Fernández-Ballart J, Sala J, Viladrich C, Iranzo R, Vila J, Arija V (2006) Dietary patterns and associated lifestyles in preconception, pregnancy and postpartum. Eur J Clin Nutr 60(3):364–371

    PubMed  Google Scholar 

  23. Sotres-Alvarez D, Herring AH, Siega-Riz AM (2013) Latent transition models to study women’s changing of dietary patterns from pregnancy to 1 year postpartum. Am J Epidemiol 177(8):852–861

    PubMed  PubMed Central  Google Scholar 

  24. Soh SE, Tint MT, Gluckman PD, Godfrey KM, Rifkin-Graboi A, Chan YH, Stunkel W, Holbrook JD, Kwek K, Chong YS, Saw SM (2014) Cohort profile: Growing Up in Singapore Towards healthy Outcomes (GUSTO) birth cohort study. Int J Epidemiol 43(5):1401–1409

    PubMed  Google Scholar 

  25. Soh SE, Chong YS, Kwek K, Saw SM, Meaney MJ, Gluckman PD, Holbrook JD, Godfrey KM (2014) Insights from the Growing Up in Singapore Towards Healthy Outcomes (GUSTO) Cohort Study. Ann Nutr Metab 64(3–4):218–225

    PubMed  Google Scholar 

  26. Alberti KG, Zimmet PZ (1998) Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med 15(7):539–553

    CAS  PubMed  Google Scholar 

  27. Institute of Medicine (1990) Nutrition during pregnancy: part I, weight gain: part II, nutrient supplements. Natl Academy Pr.

  28. Cheung YB (2013) Statistical analysis of human growth and development. CRC Press

    Google Scholar 

  29. Gunderson EP (2009) Childbearing and obesity in women: weight before, during, and after pregnancy. Obstet Gynecol Clin N Am 36(2):317–332 (ix)

    Google Scholar 

  30. Chen L-W, Soh SE, Tint M-T, Loy SL, Yap F, Tan KH, Lee YS, Shek LP-C, Godfrey KM, Gluckman PD, Eriksson JG, Chong Y-S, Chan S-Y (2021) Combined analysis of gestational diabetes and maternal weight status from pre-pregnancy through post-delivery in future development of type 2 diabetes. Sci Rep 11(1):5021

    CAS  PubMed  PubMed Central  Google Scholar 

  31. Health Promotion Board (2021) Healthier Choice Symbol (HCS). https://www.hpb.gov.sg/food-beverage/healthier-choice-symbol. Accessed 11 Jan 2021

  32. Padmapriya N, Shen L, Soh SE, Shen Z, Kwek K, Godfrey KM, Gluckman PD, Chong YS, Saw SM, Müller-Riemenschneider F (2015) Physical activity and sedentary behavior patterns before and during pregnancy in a multi-ethnic sample of Asian women in Singapore. Matern Child Health J 19(11):2523–2535

    CAS  PubMed  Google Scholar 

  33. American Diabetes A (2009) Diagnosis and classification of diabetes mellitus. Diabetes Care 32(Suppl 1):S62–S67

    Google Scholar 

  34. Chong MF, Chia AR, Colega M, Tint MT, Aris IM, Chong YS, Gluckman P, Godfrey KM, Kwek K, Saw SM, Yap F, van Dam RM, Lee YS (2015) Maternal protein intake during pregnancy is not associated with offspring birth weight in a multiethnic Asian population. J Nutr 145(6):1303–1310

    CAS  PubMed  Google Scholar 

  35. Chen LW, Tint MT, Fortier MV, Aris IM, Bernard JY, Colega M, Gluckman PD, Saw SM, Chong YS, Yap F, Godfrey KM, Kramer MS, van Dam RM, Chong MF, Lee YS (2016) Maternal Macronutrient Intake during Pregnancy Is Associated with Neonatal Abdominal Adiposity: The Growing Up in Singapore Towards healthy Outcomes (GUSTO) Study. J Nutr 146(8):1571–1579

    CAS  PubMed  Google Scholar 

  36. Deurenberg-Yap M, Li T, Tan WL, van Staveren WA, Deurenberg P (2000) Validation of a semiquantitative food frequency questionnaire for estimation of intakes of energy, fats and cholesterol among Singaporeans. Asia Pac J Clin Nutr 9(4):282–288

    CAS  PubMed  Google Scholar 

  37. Neelakantan N, Whitton C, Seah S, Koh H, Rebello SA, Lim JY, Chen S, Chan MF, Chew L, van Dam RM (2016) Development of a semi-quantitative food frequency questionnaire to assess the dietary intake of a multi-ethnic urban Asian population. Nutrients 8(9):528

    PubMed Central  Google Scholar 

  38. Ocké MC (2013) Evaluation of methodologies for assessing the overall diet: dietary quality scores and dietary pattern analysis. Proc Nutr Soc 72(2):191–199

    PubMed  Google Scholar 

  39. Kline P (1994) An easy guide to factor analysis. Routledge, London

    Google Scholar 

  40. Moeller SM, Reedy J, Millen AE, Dixon LB, Newby PK, Tucker KL, Krebs-Smith SM, Guenther PM (2007) Dietary patterns: challenges and opportunities in dietary patterns research: an experimental biology workshop, April 1, 2006. J Am Dietetic Assoc 107(7):1233–1239

    Google Scholar 

  41. Fransen HP, Fransen HP, May AM, Stricker MD, Boer JMA (2014) A posteriori dietary patterns: how many patterns to retain? J Nutr 144(8):1274–1282

    CAS  PubMed  Google Scholar 

  42. Schulze MB, Hoffmann K, Kroke A, Boeing H (2003) An approach to construct simplified measures of dietary patterns from exploratory factor analysis. Br J Nutr 89(3):409–418

    CAS  PubMed  Google Scholar 

  43. Wrigley CF, Neuhaus JO (1955) The matching of two sets of factors. Am Psychol 10:418–419

    Google Scholar 

  44. Tucker LR (1951) A Method for Synthesis of Factor Analysis Studies. Personal Research Section Report No 984, Department of the Army: Washington, DC

  45. Lorenzo-Seva U, Berge JMFT (2006) Tucker’s congruence coefficient as a meaningful index of factor similarity. Methodology 2(2):57–64

    Google Scholar 

  46. Akoglu H (2018) User’s guide to correlation coefficients. Turk J Emerg Med 18(3):91–93

    PubMed  PubMed Central  Google Scholar 

  47. Cohen J (1968) Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit. Psychol Bull 70(4):213–220

    CAS  PubMed  Google Scholar 

  48. Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33(1):159–174

    CAS  PubMed  Google Scholar 

  49. Jakobsen JC, Gluud C, Wetterslev J, Winkel P (2017) When and how should multiple imputation be used for handling missing data in randomised clinical trials—a practical guide with flowcharts. BMC Med Res Methodol 17(1):162

    PubMed  PubMed Central  Google Scholar 

  50. Rubin DB, Schenker N (1991) Multiple imputation in health-care databases: an overview and some applications. Stat Med 10(4):585–598

    CAS  PubMed  Google Scholar 

  51. Khani BR, Ye W, Terry P, Wolk A (2004) Reproducibility and validity of major dietary patterns among Swedish women assessed with a food-frequency questionnaire. J Nutr 134(6):1541–1545

    CAS  PubMed  Google Scholar 

  52. Hu FB, Rimm E, Smith-Warner SA, Feskanich D, Stampfer MJ, Ascherio A, Sampson L, Willett WC (1999) Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. Am J Clin Nutr 69(2):243–249

    CAS  PubMed  Google Scholar 

  53. Newby PK, Tucker KL (2004) Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev 62(5):177–203

    CAS  PubMed  Google Scholar 

  54. Hillier SE, Olander EK (2017) Women’s dietary changes before and during pregnancy: a systematic review. Midwifery 49:19–31

    PubMed  Google Scholar 

  55. Faria-Schützer DB, Surita FG, Rodrigues L, Turato ER (2018) Eating behaviors in postpartum: a qualitative study of women with obesity. Nutrients 10(7):885

    PubMed Central  Google Scholar 

  56. Ding D, Rogers K, van der Ploeg H, Stamatakis E, Bauman AE (2015) Traditional and emerging lifestyle risk behaviors and all-cause mortality in middle-aged and older adults: evidence from a large population-based Australian cohort. PLOS Med 12(12):e1001917

    PubMed  PubMed Central  Google Scholar 

  57. Loef M, Walach H (2012) The combined effects of healthy lifestyle behaviors on all cause mortality: a systematic review and meta-analysis. Prev Med 55(3):163–170

    PubMed  Google Scholar 

  58. Dennison RA, Ward RJ, Griffin SJ, Usher-Smith JA (2019) Women’s views on lifestyle changes to reduce the risk of developing Type 2 diabetes after gestational diabetes: a systematic review, qualitative synthesis and recommendations for practice. Diabet Med 36(6):702–717

    CAS  PubMed  PubMed Central  Google Scholar 

  59. Vounzoulaki E, Khunti K, Abner SC, Tan BK, Davies MJ, Gillies CL (2020) Progression to type 2 diabetes in women with a known history of gestational diabetes: systematic review and meta-analysis. BMJ 369:m1361

    PubMed  PubMed Central  Google Scholar 

  60. Krompa K, Sebbah S, Baudry C, Cosson E, Bihan H (2020) Postpartum lifestyle modifications for women with gestational diabetes: a qualitative study. Eur J Obst Gynecol Reproduct Biol 252:105–111

    Google Scholar 

  61. Svensson L, Nielsen KK, Maindal HT (2018) What is the postpartum experience of Danish women following gestational diabetes? A qualitative exploration. Scand J Caring Sci 32(2):756–764

    PubMed  Google Scholar 

  62. Zulfiqar T, Lithander FE, Banwell C, Young R, Boisseau L, Ingle M, Nolan CJ (2017) Barriers to a healthy lifestyle post gestational-diabetes: an Australian qualitative study. Women Birth 30(4):319–324

    PubMed  Google Scholar 

  63. Lie MLS, Hayes L, Lewis-Barned NJ, May C, White M, Bell R (2013) Preventing Type 2 diabetes after gestational diabetes: women’s experiences and implications for diabetes prevention interventions. Diabet Med 30(8):986–993

    CAS  PubMed  Google Scholar 

  64. Giskes K, Avendano M, Brug J, Kunst AE (2010) A systematic review of studies on socioeconomic inequalities in dietary intakes associated with weight gain and overweight/obesity conducted among European adults. Obes Rev 11(6):413–429

    CAS  PubMed  Google Scholar 

  65. Darmon N, Drewnowski A (2008) Does social class predict diet quality? Am J Clin Nutr 87(5):1107–1117

    CAS  PubMed  Google Scholar 

  66. Appelhans BM, Milliron BJ, Woolf K, Johnson TJ, Pagoto SL, Schneider KL, Whited MC, Ventrelle JC (2012) Socioeconomic status, energy cost, and nutrient content of supermarket food purchases. Am J Prev Med 42(4):398–402

    PubMed  Google Scholar 

  67. Pechey R, Monsivais P (2016) Socioeconomic inequalities in the healthiness of food choices: exploring the contributions of food expenditures. Prev Med 88:203–209

    PubMed  PubMed Central  Google Scholar 

  68. Pechey R, Jebb SA, Kelly MP, Almiron-Roig E, Conde S, Nakamura R, Shemilt I, Suhrcke M, Marteau TM (2013) Socioeconomic differences in purchases of more vs. less healthy foods and beverages: analysis of over 25,000 British households in 2010. Soc Sci Med (1982) 92(100):22–26

  69. Arabshahi S, Lahmann PH, Williams GM, Marks GC, van der Pols JC (2011) Longitudinal change in diet quality in Australian adults varies by demographic, socio-economic, and lifestyle characteristics. J Nutr 141(10):1871–1879

    CAS  PubMed  Google Scholar 

  70. Nguyen HH, Wu F, Oddy WH, Wills K, Brennan-Olsen SL, Jones G, Winzenberg T (2019) Dietary patterns and their associations with socio-demographic and lifestyle factors in Tasmanian older adults: a longitudinal cohort study. Eur J Clin Nutr 73(5):714–723

    PubMed  Google Scholar 

  71. Prevost AT, Whichelow MJ, Cox BD (1997) Longitudinal dietary changes between 1984–5 and 1991–2 in British adults: association with socio-demographic, lifestyle and health factors. Br J Nutr 78(6):873–888

    CAS  PubMed  Google Scholar 

  72. Kant AK (2004) Dietary patterns and health outcomes. J Am Diet Assoc 104(4):615–635

    PubMed  Google Scholar 

  73. Thorpe MG, Milte CM, Crawford D, McNaughton SA (2019) Education and lifestyle predict change in dietary patterns and diet quality of adults 55 years and over. Nutr J 18(1):67

    PubMed  PubMed Central  Google Scholar 

  74. Han CY, Colega M, Quah EPL, Chan YH, Godfrey KM, Kwek K, Saw S-M, Gluckman PD, Chong Y-S, Chong MF-F, on behalf of the Gsg (2015) A healthy eating index to measure diet quality in pregnant women in Singapore: a cross-sectional study. BMC Nutr 1(1):39

    Google Scholar 

  75. Finger JD, Tylleskär T, Lampert T, Mensink GBM (2013) Dietary Behaviour and Socioeconomic Position: The Role of Physical Activity Patterns. PLoS ONE 8(11):e78390

    CAS  PubMed  PubMed Central  Google Scholar 

  76. Inskip H, Baird J, Barker M, Briley AL, D’Angelo S, Grote V, Koletzko B, Lawrence W, Manios Y, Moschonis G, Chrousos GP, Poston L, Godfrey K (2014) Influences on adherence to diet and physical activity recommendations in women and children: insights from six European studies. Ann Nutr Metab 64(3–4):332–339

    CAS  PubMed  Google Scholar 

  77. Konttinen H, Sarlio-Lähteenkorva S, Silventoinen K, Männistö S, Haukkala A (2013) Socio-economic disparities in the consumption of vegetables, fruit and energy-dense foods: the role of motive priorities. Public Health Nutr 16(5):873–882

    PubMed  Google Scholar 

  78. Giskes K, Turrell G, Patterson C, Newman B (2002) Socio-economic differences in fruit and vegetable consumption among Australian adolescents and adults. Public Health Nutr 5(5):663–669

    PubMed  Google Scholar 

  79. Chatzi L, Mendez M, Garcia R, Roumeliotaki T, Ibarluzea J, Tardón A, Amiano P, Lertxundi A, Iñiguez C, Vioque J, Kogevinas M, Sunyer J (2012) Mediterranean diet adherence during pregnancy and fetal growth: INMA (Spain) and RHEA (Greece) mother-child cohort studies. Br J Nutr 107(1):135–145

    CAS  PubMed  Google Scholar 

  80. Hillesund ER, Bere E, Haugen M, Øverby NC (2014) Development of a New Nordic Diet score and its association with gestational weight gain and fetal growth—a study performed in the Norwegian Mother and Child Cohort Study (MoBa). Public Health Nutr 17(9):1909–1918

    PubMed  Google Scholar 

  81. Fowles ER, Bryant M, Kim S, Walker LO, Ruiz RJ, Timmerman GM, Brown A (2011) Predictors of dietary quality in low-income pregnant women: a path analysis. Nurs Res 60(5):286–294

    PubMed  PubMed Central  Google Scholar 

  82. Rifas-Shiman SL, Rich-Edwards JW, Kleinman KP, Oken E, Gillman MW (2009) Dietary quality during pregnancy varies by maternal characteristics in Project Viva: a US cohort. J Am Diet Assoc 109(6):1004–1011

    PubMed  PubMed Central  Google Scholar 

  83. Bodnar LM, Siega-Riz AM (2002) A Diet Quality Index for Pregnancy detects variation in diet and differences by sociodemographic factors. Public Health Nutr 5(6):801–809

    PubMed  Google Scholar 

  84. Bassett-Gunter RL, Levy-Milne R, Naylor PJ, Symons Downs D, Benoit C, Warburton DE, Blanchard CM, Rhodes RE (2013) Oh baby! Motivation for healthy eating during parenthood transitions: a longitudinal examination with a theory of planned behavior perspective. Int J Behav Nutr Phys Activity 10:88

    Google Scholar 

  85. Patrick H, Nicklas TA (2005) A review of family and social determinants of children’s eating patterns and diet quality. J Am Coll Nutr 24(2):83–92

    PubMed  Google Scholar 

  86. van der Velde LA, Schuilenburg LA, Thrivikraman JK, Numans ME, Kiefte-de Jong JC (2019) Needs and perceptions regarding healthy eating among people at risk of food insecurity: a qualitative analysis. Int J Equity Health 18(1):184

    PubMed  PubMed Central  Google Scholar 

  87. Bellows-Riecken KH, Rhodes RE (2008) A birth of inactivity? A review of physical activity and parenthood. Prev Med 46(2):99–110

    PubMed  Google Scholar 

  88. Olson CM (2005) Tracking of food choices across the transition to motherhood. J Nutr Educ Behav 37(3):129–136

    PubMed  Google Scholar 

  89. Darvill R, Skirton H, Farrand P (2010) Psychological factors that impact on women’s experiences of first-time motherhood: a qualitative study of the transition. Midwifery 26(3):357–366

    PubMed  Google Scholar 

  90. Chen LW, Low YL, Fok D, Han WM, Chong YS, Gluckman P, Godfrey K, Kwek K, Saw SM, Soh SE, Tan KH, Chong MF, van Dam RM (2014) Dietary changes during pregnancy and the postpartum period in Singaporean Chinese, Malay and Indian women: the GUSTO birth cohort study. Public Health Nutr 17(9):1930–1938

    PubMed  Google Scholar 

  91. Lynch J, Smith GD (2005) A life course approach to chronic disease epidemiology. Annu Rev Public Health 26:1–35

    PubMed  Google Scholar 

  92. Marchioni DML, Latorre MdRDdO, Eluf-Neto J, Wünsch-Filho V, Fisberg RM (2005) Identification of dietary patterns using factor analysis in an epidemiological study in São Paulo. Sao Paulo Med J 123(3):124–127

    PubMed  Google Scholar 

  93. Hebert JR, Clemow L, Pbert L, Ockene IS, Ockene JK (1995) Social desirability bias in dietary self-report may compromise the validity of dietary intake measures. Int J Epidemiol 24(2):389–398

    CAS  PubMed  Google Scholar 

  94. Santiago SE, Park GH, Huffman KJ (2013) Consumption habits of pregnant women and implications for developmental biology: a survey of predominantly Hispanic women in California. Nutr J 12(1):91

    CAS  PubMed  PubMed Central  Google Scholar 

  95. McGowan CA, McAuliffe FM (2012) Maternal nutrient intakes and levels of energy underreporting during early pregnancy. Eur J Clin Nutr 66(8):906–913

    CAS  PubMed  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the study participants and the GUSTO study group, which includes Airu Chia, Allan Sheppard, Amutha Chinnadurai, Anna Magdalena Fogel, Anne Eng Neo Goh, Anne Hin Yee Chu, Anne Rifkin-Graboi, Anqi Qiu, Arijit Biswas, Bee Wah Lee, Birit Froukje Philipp Broekman , Bobby Kyungbeom Cheon, Boon Long Quah, Candida Vaz, Chai Kiat Chng, Cheryl Shufen Ngo, Choon Looi Bong, Christiani Jeyakumar Henry, Ciaran Gerard Forde, Claudia Chi, Daniel Yam Thiam Goh, Dawn Xin Ping Koh, Desiree Y. Phua, Doris Ngiuk Lan Loh, E Shyong Tai, Elaine Kwang Hsia Tham, Elaine Phaik Ling Quah, Elizabeth Huiwen Tham, Evelyn Chung Ning Law, Evelyn Xiu Ling Loo, Fabian Kok Peng Yap, Faidon Magkos, Falk Müller-Riemenschneider, George Seow Heong Yeo, Hannah Ee Juen Yong, Helen Yu Chen, Heng Hao Tan, Hong Pan, Hugo P S van Bever, Hui Min Tan, Iliana Magiati, Inez Bik Yun Wong, Ives Yubin Lim, Ivy Yee-Man Lau, Izzuddin Bin Mohd Aris, Jeannie Tay, Jeevesh Kapur, Jenny L. Richmond, Jerry Kok Yen Chan, Jia Xu, Joanna Dawn Holbrook, Joanne Su-Yin Yoong, Joao Nuno Andrade Requicha Ferreira, Johan Gunnar Eriksson, Jonathan Tze Liang Choo, Jonathan Y. Bernard, Jonathan Yinhao Huang, Joshua J. Gooley, Jun Shi Lai, Karen Mei Ling Tan, Keith M. Godfrey, Kenneth Yung Chiang Kwek, Keri McCrickerd, Kok Hian Tan, Kothandaraman Narasimhan, Krishnamoorthy Naiduvaje, Kuan Jin Lee, Leher Singh, Li Chen, Lieng Hsi Ling, Lin Lin Su, Ling-Wei Chen, Lourdes Mary Daniel, Lynette Pei-Chi Shek, Marielle V. Fortier, Mark Hanson, Mary Foong-Fong Chong, Mary Rauff, Mei Chien Chua, Melvin Khee-Shing Leow, Michael J. Meaney, Michelle Zhi Ling Kee, Min Gong, Mya Thway Tint, Navin Michael, Neerja Karnani, Ngee Lek, Oon Hoe Teoh, P. C. Wong, Paulin Tay Straughan, Peter David Gluckman, Pratibha Keshav Agarwal, Priti Mishra, Queenie Ling Jun Li, Rob Martinus van Dam, Salome A. Rebello, Sambasivam Sendhil Velan, Seang Mei Saw, See Ling Loy, Seng Bin Ang, Shang Chee Chong, Sharon Ng, Shiao-Yng Chan, Shirong Cai, Shu-E Soh, Sok Bee Lim, Stella Tsotsi, Stephen Chin-Ying Hsu, Sue-Anne Ee Shiow Toh, Suresh Anand Sadananthan, Swee Chye Quek, Varsha Gupta, Victor Samuel Rajadurai, Walter Stunkel, Wayne Cutfield, Wee Meng Han, Wei Wei Pang, Wen Lun Yuan, Yanan Zhu, Yap Seng Chong, Yin Bun Cheung, Yiong Huak Chan, Yung Seng Lee.

Funding

This research was supported by the Singapore National Research Foundation under its Translational and Clinical Research (TCR) Flagship Programme and administered by the Singapore Ministry of Health’s National Medical Research Council (NMRC), Singapore- NMRC/TCR/004-NUS/2008; NMRC/TCR/012-NUHS/2014. Additional funding was provided by the Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore. KMG is supported by the UK Medical Research Council (MC_UU_12011/4), the National Institute for Health Research (NIHR Senior Investigator (NF-SI-0515-10042), NIHR Southampton 1000DaysPlus Global Nutrition Research Group (17/63/154) and NIHR Southampton Biomedical Research Centre (IS-BRC-1215-20004)), the European Union (Erasmus + Programme Early Nutrition eAcademy Southeast Asia-573651-EPP-1-2016-1-DE-EPPKA2-CBHE-JP and ImpENSA 598488-EPP-1-2018-1-DE-EPPKA2-CBHE-JP) and the British Heart Foundation (RG/15/17/3174). None of the funding bodies identified had any role in the design of the study, in data collection, or in analysis, interpretation or writing the manuscript.

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KMG, KHT, LPCS, YSC and SYC: designed and led the GUSTO study; YQL and MF-FC designed the present study; MC, SLL and NP: collected and cleaned the data; YQL: performed the statistical analysis; RS, BCT, JSL and MF-FC: provided statistical input; YQL and MF-FC: wrote the manuscript and had primary responsibility for the final content; KMG, KHT, LPCS, FMR, YSC, JGE, SYC, MF-FC, BCT, RS, JSL, NP: reviewed the manuscript for intellectual content; and all authors: read and approved the final manuscript.

Corresponding author

Correspondence to Yu Qi Lee.

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Conflict of interest

KMG and Y-SC have received reimbursements for speaking at conferences sponsored by companies selling nutritional products and are part of an academic consortium that has received research funding from Abbott Nutrition, Nestle, and Danone. All other authors declare no competing interest.

Ethical standards

The GUSTO study has received ethical approval from the Institutional Review Board of KKH and NUH, and has been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments. Written informed consent was obtained from all study participants prior to their inclusion in the study.

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Lee, Y.Q., Colega, M., Sugianto, R. et al. 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. Eur J Nutr 61, 985–1001 (2022). https://doi.org/10.1007/s00394-021-02703-z

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  • DOI: https://doi.org/10.1007/s00394-021-02703-z

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