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Lee S. Impact of the child's birth weight on maternal misperceptions of young children's weight: A retrospective study with nationally representative data. Jpn J Nurs Sci 2024; 21:e12610. [PMID: 38894593 DOI: 10.1111/jjns.12610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Revised: 04/29/2024] [Accepted: 05/23/2024] [Indexed: 06/21/2024]
Abstract
AIM A young child's abnormal birth weight (BW) can affect a mother's misperceptions of her child's weight, potentially hindering the child's health management. Therefore, this study investigated the impact of children's BW on maternal misperceptions of children's weight during early childhood. METHODS A retrospective study was conducted for 485,095 children who were 54-60 months of age, born between 2011 and 2013, and participated in South Korea's Sixth National Health Screening Program for Infants and Children (NHSPIC). Data on BW, weight, sex, birth year, preterm birth, breastfeeding history, maternal age, mothers' perceptions of the child's weight, and socioeconomic status were collected and incorporated in the final analysis via data linkage between the NHSPIC and Korean healthcare claims information. Multiple logistic regression analysis was applied to identity the impact of BW on mothers' misperceptions of children's weight, after adjustment for all variables. RESULTS Low BW (LBW) children had the lowest proportion (57.1%) of mothers who accurately identified their child's weight compared to normal or high BW. LBW was an independent factor affected maternal misperception of the child's weight (underestimation: adjusted odds ratio [aOR]: 1.46, 95% confidence interval [CI]: 1.41-1.52; overestimation: aOR: 0.84, 95% CI: 0.73-0.97). Overweight or underweight status, male gender, preterm birth, a younger mother, and low socioeconomic status were also associated with both underestimation and overestimation. CONCLUSION LBW emerged as an important risk factor for maternal misperception of a child's weight. Therefore, pediatric nurses need to apply interventions to improve perceptions of children's weight among mothers of young LBW children.
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Affiliation(s)
- Sangmi Lee
- College of Nursing, Dongyang University, Yeongju, South Korea
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2
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Flores Peña Y, Salinas-Martínez AM, Trejo-Ortiz PM, Áviila Alpirez H, Gallegos-Martínez J, Ugarte-Esquivel A. Less underestimaton of excess weight by the categorical than the visual method. Its determinants and feeding practices in Mexican mothers of children aged 2 to 12 years. NUTR HOSP 2024; 41:69-77. [PMID: 37705462 DOI: 10.20960/nh.04596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/15/2023] Open
Abstract
Introduction Introduction: perceived body weight refers to the subjectively assessed weight, which may not correspond to the objectively measured weight. Statistics show that 14 % to 83 % of parents misperceive their children's weight status, with a propensity for underestimation. Objective: we compared the accuracy of the visual versus the categorical method. We also identified factors and feeding practices associated with excess weight underestimation. Material and methods: we carried out a cross-sectional study in five states of Mexico with 1,845 mother-child dyads of children aged 2-12 years. The mothers were interviewed about weight perception with two methods, visual and categorical. The Child Feeding Questionnaire identified maternal feeding practices. Actual weight and height were categorized according to WHO criteria. Analysis consisted of Cohen's kappa estimation, multivariate logistic regression, and Mann-Whitney tests. Results: more mothers correctly identified the weight of their children with the categorical than with the visual method (68 % vs 42 %, p < 0.0001). The excess weight underestimation was lower (49 % vs 82 %, p < 0.0001) and the degree of agreement was higher with the categorical method (kappa, 0.39 and 0.08). The better results remained regardless of age. Age 2-5 years increased the odds of overweight/obesity underestimation. Feeding practices differed by weight perception category, child's age, and method of assessment. Conclusions: the categorical method was more accurate. Recognition of correct weight perception is one of the first actions required for controlling childhood overweight/obesity.
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Affiliation(s)
| | - Ana M Salinas-Martínez
- Facultad de Salud Pública y Nutrición. Universidad Autónoma de Nuevo León. Centro de Investigación Biomédica del Noreste. Instituto Mexicano del Seguro Social
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3
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Flores-Peña Y, Avila-Alpirez H. Maternal Perception of the Child’s Weight, Lifestyle Problems and Self-Efficacy to Deal with Them. AQUICHAN 2021. [DOI: 10.5294/aqui.2021.21.2.8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Objectives: To associate the maternal perception of the child’s weight (MPCW) and the child’s nutritional status. To describe child’s lifestyle behavior problems (CLBPs) and maternal self-efficacy (SE) to deal with them, as well as to verify differences according to children with and without overweight-obesity (OW-OB) and MPCW.
Material and methods: There was participation of 274 dyads (mother-preschool child). MPCW was assessed through words and images. The mothers answered the Lifestyle Behaviour Checklist. The child’s weight and height were measured.
Results: 18.8 % (n = 13) of the mothers of children with OW-OB and 78.8 % (n = 160) of the mothers of children without OW-OB obtained adequate MPCW values through words (X2 = 77.759; DoF = 1; p < .001). It was identified that the mothers of children with OW-OB reported more CLBPs and less SE. When the child’s OW-OB is perceived through words, there are more CLBPs (F = 17.041; p = .001) and less SE (U = 1,118; p = .015).
Conclusions: Inadequate MPCW was predominant in mothers of children with OW-OB. When OW-OB is perceived, there are more CLBPs and fewer SE. It is recommended to promote adequate MPCW, particularly in mothers of children with OW-OB. Images assist in the identification of the child’s OW-OB more than to classify it into a category.
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4
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Guo X, Ahmad Hatib NA, Chew CSE. Preventing obesity from early childhood. Singapore Med J 2021; 62:167-172. [PMID: 33948667 DOI: 10.11622/smedj.2021037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Affiliation(s)
- Xiaoxuan Guo
- SingHealth Polyclinics - Punggol, Singapore.,Family Medicine Academic Clinical Programme, SingHealth Duke-NUS Academic Medical Centre, Singapore
| | - Nur Adila Ahmad Hatib
- General Paediatrics Service, Department of Paediatrics, KK Women's and Children's Hospital, Singapore
| | - Chu Shan Elaine Chew
- Adolescent Medicine Service, Department of Paediatrics, KK Women's and Children's Hospital, Singapore
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5
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Blanchet R, Kengneson CC, Bodnaruc AM, Gunter A, Giroux I. Factors Influencing Parents' and Children's Misperception of Children's Weight Status: a Systematic Review of Current Research. Curr Obes Rep 2019; 8:373-412. [PMID: 31701349 DOI: 10.1007/s13679-019-00361-1] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
PURPOSE OF REVIEW Misperception of children's weight status is prevalent among parents and children themselves and may impact parents' and children's health behaviors. This study was conducted in order to provide a descriptive systematic review of research on factors influencing parents' and children's misperceptions of children's weight status published in the past 5 years. RECENT FINDINGS Factors studied most often in relation to parents' and children's misperception included children's weight status, gender, and age, as well as parents' weight status, parental education levels and socioeconomic status, and ethnicity. Most determinants that were found to have a significant influence on misperception in parents also did in children. The literature on misperception of children's weight status is extensive. Most determinants assessed in included studies were known determinants of childhood obesity. Further research should be directed toward better understanding the impact of weight status perception (whether it is accurate or not) on health behaviors and weight gain over time.
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Affiliation(s)
- Rosanne Blanchet
- Department of Agricultural, Food & Nutritional Sciences, Faculty of Agricultural, Life & Environmental Sciences, University of Alberta, Edmonton, Canada
| | - Cris-Carelle Kengneson
- Interdisciplinary School of Health Sciences, Faculty of Health Sciences, University of Ottawa, Ottawa, Canada
| | - Alexandra M Bodnaruc
- School of Nutrition Sciences, Faculty of Health Sciences, University of Ottawa, Ottawa, Canada
| | - Ashley Gunter
- Interdisciplinary School of Health Sciences, Faculty of Health Sciences, University of Ottawa, Ottawa, Canada
| | - Isabelle Giroux
- School of Nutrition Sciences, Faculty of Health Sciences, University of Ottawa, Ottawa, Canada.
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6
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Fries LR, Chan MJ, Quah PL, Toh JY, Fogel A, Goh AT, Aris IM, Broekman BFP, Cai S, Tint MT, Chong YS, Shek LP, Lee YS, Yap F, Tan KH, Gluckman PD, Godfrey KM, Silva Zolezzi I, Forde CG, Chong MFF. Maternal feeding practices and children's food intake during an ad libitum buffet meal: Results from the GUSTO cohort. Appetite 2019; 142:104371. [PMID: 31323246 PMCID: PMC6682493 DOI: 10.1016/j.appet.2019.104371] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Revised: 06/24/2019] [Accepted: 07/15/2019] [Indexed: 12/16/2022]
Abstract
Parents' feeding practices have been shown to be associated with children's food intake and weight status, but little is known about feeding practices in Asian countries. This study used behavioral observation to explore the feeding practices of 201 mothers of 4.5 year-old children in Singapore during an ad libitum buffet lunch. Feeding practices were coded from videos, focusing on behaviors used to prompt the child to eat more food (autonomy-supportive and coercive-controlling prompts to eat, suggesting items from buffet), those to reduce intake (restriction, questioning food choice), and those related to eating rate (hurrying or slowing child eating). Child outcome measures included energy consumed, variety of food items selected, and BMI. Maternal restriction and trying to slow child eating rate were associated with higher energy consumed by the child (r = 0.19 and 0.13, respectively; p < 0.05). Maternal autonomy-supportive prompts and restriction were associated with a greater variety of items selected by children (r = 0.19 and 0.15, respectively; p < 0.05). The frequency of maternal feeding practice use differed across ethnic groups, with Malay mothers using the most prompts to eat (p < 0.05), Chinese mothers most likely to question a child's food choice (p < 0.01), and Indian mothers the last likely to tell the child to eat faster (p < 0.001). There were no differences between ethnic groups for other feeding practices. No associations were found between feeding practices and child BMI. It is possible that feeding practices related to restriction and slowing child eating are adopted in response to children who consume larger portions, although longitudinal or intervention studies are needed to confirm the direction of this relationship and create local recommendations.
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Affiliation(s)
- Lisa R Fries
- Nestlé Research, Vers-chez-les-Blanc, Case Postale 44, CH-1000, Lausanne, Switzerland.
| | - Mei Jun Chan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, 117609, Singapore.
| | - Phaik Ling Quah
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, 117609, Singapore.
| | - Jia Ying Toh
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, 117609, Singapore.
| | - Anna Fogel
- Clinical Nutrition Research Centre, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), National University Health System, 14 Medical Drive #07-02, MD 6 Building, Yong Loo Lin School of Medicine, 117599, Singapore.
| | - Ai Ting Goh
- Clinical Nutrition Research Centre, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), National University Health System, 14 Medical Drive #07-02, MD 6 Building, Yong Loo Lin School of Medicine, 117599, Singapore.
| | - Izzuddin M Aris
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, 117609, Singapore.
| | - Birit F P Broekman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, 117609, Singapore; Department of Psychiatry, VU Medical Centre, Amsterdam, The Netherlands, Research & Innovation, Location GGZ InGeest, Oldenaller 1, 1081, HJ, Amsterdam, the Netherlands.
| | - Shirong Cai
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, 117609, Singapore; Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block, Level 12, 119228, Singapore.
| | - Mya Thway Tint
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block, Level 12, 119228, Singapore.
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, 117609, Singapore; Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block, Level 12, 119228, Singapore.
| | - Lynette P Shek
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block, Level 12, 119228, Singapore; Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, 5 Lower Kent Ridge Road, 119074, Singapore.
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, 117609, Singapore; Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, NUHS Tower Block, Level 12, 119228, Singapore; Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, 5 Lower Kent Ridge Road, 119074, Singapore.
| | - Fabian Yap
- Pediatric Endocrinology, KK Women's and Children's Hospital, 100 Bukit Timah Road, 229899, Singapore; Duke-National University of Singapore Graduate Medical School, 8 College Road, 169857, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Experimental Medicine Building, 59 Nanyang Drive, 636921, Singapore.
| | - Kok Hian Tan
- Lee Kong Chian School of Medicine, Nanyang Technological University, Experimental Medicine Building, 59 Nanyang Drive, 636921, Singapore; Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, 100 Bukit Timah Road, Level 3, Singapore, 229899.
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, 117609, Singapore; Liggins Institute, University of Auckland, 85 Park Rd, Grafton, Auckland, 1023, New Zealand.
| | - Keith M Godfrey
- MRC Lifecourse Epidemiology Unit & NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS FT, Tremona Road, SO16 6YD, Southampton, UK.
| | - Irma Silva Zolezzi
- Nestlé Research Singapore Hub, 21 Biopolis Road Nucleos (South Tower), #04-22/23, 138567, Singapore.
| | - Ciaran G Forde
- Clinical Nutrition Research Centre, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), National University Health System, 14 Medical Drive #07-02, MD 6 Building, Yong Loo Lin School of Medicine, 117599, Singapore; Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
| | - Mary F F Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, 117609, Singapore; Clinical Nutrition Research Centre, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), National University Health System, 14 Medical Drive #07-02, MD 6 Building, Yong Loo Lin School of Medicine, 117599, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #10-01, 117549, Singapore.
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7
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Quah PL, Ng JC, Fries LR, Chan MJ, Aris IM, Lee YS, Yap F, Godfrey KM, Chong YS, Shek LP, Tan KH, Forde CG, Chong MFF. Longitudinal Analysis Between Maternal Feeding Practices and Body Mass Index (BMI): A Study in Asian Singaporean Preschoolers. Front Nutr 2019; 6:32. [PMID: 31001535 PMCID: PMC6454195 DOI: 10.3389/fnut.2019.00032] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2018] [Accepted: 03/06/2019] [Indexed: 12/13/2022] Open
Abstract
Bidirectional studies between maternal feeding practices with subsequent child weight are limited, with no studies in Asian populations. In longitudinal analyses, we assessed the directionality of the associations between maternal feeding practices and body mass index (BMI) in preschoolers. Participants were 428 mother child dyads from the GUSTO (Growing Up in Singapore Toward healthy Outcomes) cohort. Feeding practices were assessed using the Comprehensive Feeding Practices Questionnaire (CFPQ) at age 5 y. Child BMI was measured at ages 4 and 6 y. BMI and maternal feeding practices subscales were transformed to SD scores and both directions of their associations examined with multivariable linear regression and pathway modeling. Higher BMI at age 4 was associated with lower encouragement of balance and variety (β = −0.33; 95%CI: −0.53, −0.13), lower pressure to eat (β = −0.49; −0.68, −0.29) and higher restriction (β = 1.10; 0.67, 1.52) at age 5, adjusting for confounders and baseline feeding practices at 3 years. In the reverse direction, only pressure and restriction at age 5 were associated with lower and higher child BMI at age 6 years, respectively. After the adjustment for baseline BMI at age 5, the association with pressure was attenuated to non-significance (β = 0.01 (−0.01, 0.03), while the association with restriction remained significant (β = 0.02; 0.002, 0.03). Overall, associations from child BMI to maternal restriction for weight control and pressure feeding practices was stronger than the association from these maternal feeding practices to child BMI (Wald's statistics = 24.3 and 19.5, respectively; p < 0.001). The strength and directionality suggests that the mothers in the Asian population were likely to adopt these feeding practices in response to their child's BMI, rather than the converse. Clinical Trial Registry Number and Website This study was registered at clinicaltrials.gov as NCT01174875 (www.clinicaltrials.gov, NCT01174875).
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Affiliation(s)
- Phaik Ling Quah
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Jing Chun Ng
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Lisa R Fries
- Nestlé Research, Vers-chez-les-Blanc, Lausanne, Switzerland
| | - Mei Jun Chan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Izzuddin M Aris
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore.,Department of Obstetrics and Gynaecology, KK Women's and Children's Hospital, Singapore, Singapore
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore.,Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Division of Paediatric Endocrinology, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, Singapore
| | - Fabian Yap
- Departments of Paediatrics, KK Women's and Children's Hospital, Singapore, Singapore.,Duke-National University of Singapore Graduate Medical School, Singapore, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Unit, National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital, Southampton National Health Service Foundation Trust, Southampton, United Kingdom
| | - Yap-Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore.,Department of Obstetrics and Gynaecology, KK Women's and Children's Hospital, Singapore, Singapore
| | - Lynette P Shek
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Divisions of Pediatric Allergy, Immunology, and Rheumatology, Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, Singapore
| | - Kok Hian Tan
- Duke-National University of Singapore Graduate Medical School, Singapore, Singapore.,Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, Singapore
| | - Ciaran G Forde
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore.,Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.,Clinical Nutrition Research Center, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore
| | - Mary F F Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
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8
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Quah PL, Syuhada G, Fries LR, Chan MJ, Lim HX, Toh JY, Sugianto R, Aris IM, Lee YS, Yap F, Godfrey KM, Gluckman PD, Chong YS, Shek LP, Tan KH, Forde CG, Chong MFF. Maternal feeding practices in relation to dietary intakes and BMI in 5 year-olds in a multi-ethnic Asian population. PLoS One 2018; 13:e0203045. [PMID: 30226881 PMCID: PMC6143183 DOI: 10.1371/journal.pone.0203045] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Accepted: 08/14/2018] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND In Asia, little is known about how maternal feeding practices are associated with dietary intakes and body mass index (BMI) in preschoolers. OBJECTIVE To assess the relationships between maternal feeding practices with dietary intakes and BMI in preschoolers in Asia using cross-sectional analysis in the GUSTO (Growing Up in Singapore Towards healthy Outcomes) cohort. PARTICIPANT SETTINGS Mothers (n = 511) who completed the Comprehensive Feeding Practices Questionnaire (CFPQ) and a semi-quantitative Food Frequency Questionnaire (FFQ) when children were 5 years old. STATISTICAL ANALYSIS Associations between 12 maternal feeding practices (mean scores divided into tertiles) and children's dietary intakes of seven food groups and BMI z-scores were examined using the general linear regression model. Weight and height of the child were measured, and dietary intakes derived from the FFQ. RESULTS Compared to those in the low tertile, mothers in the high tertile of modelling healthy food intakes had children with higher intakes of vegetables[+20.0g/day (95%CI:11.6,29.5)] and wholegrains[+ 20.9g/day (9.67,31.1)] but lower intakes of sweet snacks[-10.1g/day (-16.3,-4.94)] and fast-foods[-5.84g/day (-10.2,-1.48)]. Conversely, children of mothers in the high tertile for allowing child control (lack of parental control) had lower intake of vegetables[-15.2g/day (-26.6,-5.21)] and wholegrains[-13.6g/day (-22.9,-5.27)], but higher intakes of sweet snacks[+13.7g/day (7.7, 19.8)] and fast-foods[+6.63g/day (3.55,9.72)]. In relation to BMI at 5 years, food restrictions for weight was associated with higher BMI z-scores [0.86SD (0.61,1.21)], while use of pressure was associated with lower BMI z-scores[-0.49SD(-0.78,-0.21)]. CONCLUSIONS AND IMPLICATIONS Modelling healthy food intakes by mothers was the key feeding practice associated with higher intakes of healthy foods and lower intakes of discretionary foods. The converse was true for allowing child control. Only food restrictions for weight and use of pressure were associated with BMI z-scores.
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Affiliation(s)
- Phaik Ling Quah
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Ginanjar Syuhada
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
| | | | - Mei Jun Chan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Hui Xian Lim
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Jia Ying Toh
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
| | - Ray Sugianto
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Izzuddin M. Aris
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Khoo Teck Puat-National University Children’s Medical Institute, National University Health System, Singapore, Singapore
| | - Fabian Yap
- Pediatric Endocrinology, KK Women’s and Children’s Hospital, Singapore, Singapore
- Duke-NUS Graduate Medical School, Lee Kong Chian School of Medicine, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Keith M. Godfrey
- Medical Research Council Lifecourse Epidemiology Unit and National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital, Southampton National Health Service Foundation Trust, Southampton, United Kingdom
| | - Peter D. Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Yap- Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Lynette P. Shek
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
- Department of Pediatrics, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Kok Hian Tan
- Department of Obstetrics and Gynaecology, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Ciaran G. Forde
- Clinical Nutrition Research Center, Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Mary F. F. Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Clinical Nutrition Research Center, Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
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9
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Butler ÉM, Derraik JGB, Taylor RW, Cutfield WS. Childhood obesity: how long should we wait to predict weight? J Pediatr Endocrinol Metab 2018; 31:497-501. [PMID: 29668465 DOI: 10.1515/jpem-2018-0110] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Accepted: 03/21/2018] [Indexed: 12/17/2022]
Abstract
Obesity is highly prevalent in children under the age of 5 years, although its identification in infants under 2 years remains difficult. Several clinical prediction models have been developed for obesity risk in early childhood, using a number of different predictors. The predictive capacity (sensitivity and specificity) of these models varies greatly, and there is no agreed risk threshold for the prediction of early childhood obesity. Of the existing models, only two have been practically utilized, but neither have been particularly successful. This commentary suggests how future research may successfully utilize existing early childhood obesity prediction models for intervention. We also consider the need for such models, and how targeted obesity intervention may be more effective than population-based intervention.
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Affiliation(s)
- Éadaoin M Butler
- A Better Start - National Science Challenge, Auckland, New Zealand.,Liggins Institute, University of Auckland, Auckland, New Zealand
| | - José G B Derraik
- A Better Start - National Science Challenge, Auckland, New Zealand.,Liggins Institute, University of Auckland, Auckland, New Zealand.,Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Rachael W Taylor
- A Better Start - National Science Challenge, Dunedin, New Zealand.,Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Wayne S Cutfield
- A Better Start - National Science Challenge, Auckland, New Zealand.,Liggins Institute, University of Auckland, Auckland, New Zealand
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