Article Text

Original research
Psychological health in preschool children with underweight, overweight or obesity: a regional cohort study
  1. Hilde Mjell Donkor1,
  2. Helene Toxe2,
  3. Jørgen Hurum1,
  4. Robert Bjerknes3,
  5. Geir Egil Eide4,
  6. Petur Juliusson3,5,
  7. Trond Markestad3,6
  1. 1Department of Paediatrics, Sykehuset Innlandet HF Divisjon Lillehammer, Lillehammer, Norway
  2. 2Clinic of Child and Adolescent Psychiatry, Otta, Sykehuset Innlandet HF Psykisk Helsevern, Brumunddal, Norway
  3. 3Department of Clincal Science, Universitetet i Bergen Det Medisinske Fakultet, Bergen, Norway
  4. 4Department of Public Health and Primary Health Care, Universitetet i Bergen Det Medisinske Fakultet, Bergen, Norway
  5. 5Department of Paediatrics and Adolescent Medicine, Haukeland Universitetssjukehus, Bergen, Norway
  6. 6Department of Research, Innlandet Hospital Trust, Brumunddal, Norway
  1. Correspondence to Dr Trond Markestad; Trond.Markestad{at}uib.no

Abstract

Objective To examine if underweight (UW), overweight (OW) or obesity (OB), or body mass index (BMI) expressed as its SD score (BMI SDS), were associated with psychological difficulties in preschool children.

Design Regional cohort study.

Setting Oppland County, Norway.

Methods At the routine school entry health assessment at 5–6 years of age, parents were invited to participate by local public health nurses. The parents completed questionnaires on sociodemographic, health and lifestyle factors of the child and the family, and on the child’s neurocognitive development. They assessed psychological health with the Strengths and Difficulties Questionnaire (SDQ). Public health nurses measured weight and height on all eligible children and reported age, sex, height and weight anonymously for the children who declined to participate.

Participants We obtained information on 1088 of 1895 (57%) eligible children. The proportion of UW, OW and OB was slightly higher among the children who declined.

Main outcome measures SDQ subscale and Total Difficulties Scores.

Results The mean SDQ scores and proportion of scores ≥the 90th percentile had a curvilinear pattern from UW through normal weight (NW), OW and OB with NW as nadir, but the pattern was only significant for the mean Emotional problems, Peer problems and Total SDQ Scales, and for the Total SDQ Score ≥the 90th percentile (TDS90). After adjusting for relevant social, developmental, health and behavioural characteristics, TDS90 was only significantly associated with UW in multiple logistic regression analyses, and only with the lowest quartile of BMI SDS in a linear spline regression analysis.

Conclusions The study suggests that UW and low BMI, but not OW, OB or higher BMI, are independent risk factors for having psychological symptoms in preschool children.

  • obesity
  • epidemiology
  • psychology
  • child psychiatry
  • growth
http://creativecommons.org/licenses/by-nc/4.0/

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

Statistics from Altmetric.com

What is known about the subject?

  • Underweight, overweight and obesity are associated with psychological symptoms in older children and adolescents.

  • The significance of psychological symptoms related to weight has rarely been reported, and with conflicting results, in preschool children.

What this study adds?

  • In children aged 5–6 years, obesity and underweight, but not overweight, were significantly associated with psychological symptoms, as assessed with the Strengths and Difficulties Questionnaire.

  • After adjusting for social, health and lifestyle factors in the family, only underweight and a low BMI were significantly associated with psychological symptoms.

Introduction

The obesity (OB) epidemic is a major threat to the health of the individual and societies.1 The high proportion of children with overweight (OW) or OB is particularly worrisome since they are at high risk of OB as adults.2 We3 and others4–7 have shown that a variety of well-intended intervention programmes to curtail OB in children have had minor or no significant effect. The programmes have generally been oriented towards improving dietary habits and physical activity. Given the limited success, the significance of psychological aspects during early childhood needs to be explored to increase our understanding of why prevention and treatment are so difficult.

OB is associated with psychological comorbidities, such as depression, low self-esteem and reduced health related quality of life in adults,8 older children and adolescents.9–13 However, it is not settled whether, or to what extent, psychological factors may predispose to OW or OB, or simply are a result of having a high body mass index (BMI). Studies are conflicting regarding the significance of attention deficit hyperactivity disorder (ADHD) and other behavioural difficulties as risk factors for OW and OB.14–16 Studies on psychological symptoms related to unhealthy weights in young children are scarce, but it has been suggested that neither OW or OB,10 17 18 nor underweight (UW),18 may be associated with psychological symptoms in preschool children. In particular we lack knowledge related to UW. However, UW in this age group has been associated with increased parental concern19 and with food avoidant behaviour and an altered parent–child interaction around meals,20 which may suggest risks of psychological consequences.

In a regional Norwegian cohort of children aged 5–6 year, we found that OW and OB, but not UW, were associated with unfavourable sociodemographic factors and lifestyles.21 The aim of the present paper was to examine if the children with UW, OW or OB in this cohort had more psychological symptoms than the children with a normal weight (NW), or whether psychological symptoms were related to certain BMI scores. Our hypothesis was that children at this age may not have been exposed to significant psychological consequences of their BMI, such as bullying, and that any psychological symptoms associated with weight categories other than NW might be considered risk factors for developing unhealthy weights.

Materials and methods

Participants

Parents of all children entering school in Oppland County, Norway, in 2007, were invited to participate at the routine school entry health assessment at 5–6 years of age. Oppland county had a population of approximately 183 000. The county had two cities with 25 000–30 000 inhabitants in each and otherwise rural areas with towns of variable sizes.

Consenting parents completed questionnaires on sociodemographic, health and lifestyle factors of the children and family members, and on neurocognitive development of the children. They assessed their children’s psychological health with the Norwegian version of the Strengths and Difficulties Questionnaire (SDQ).22 23

The public health nurses measured the height and weight of all eligible children. For the families who declined, the nurses reported age, sex, height and weight anonymously. We have previously concluded that the participating children were fairly representative of all the eligible children, although the prevalence of UW, OW and OB was slightly higher among those who declined.21

Patient and public involvement statement

Public healthcare clinics, but not families, were involved concerning content and design.

Anthropometric measurements, health and habits

Height and weight were measured according to national guidelines.24 BMI was calculated as weight/height2 (kg/m2), and BMI SD scores (BMI SDS) were based on Norwegian references.25 Definitions of the weight groups UW, NW, OW and OB were based on the sex and age specific BMI criteria of the International Obesity Task Force for the children26 27 and according to the WHO classification for their parents.28

Details on sociodemographic factors, health and habits were published in a previous report.21 We dichotomised parent’s education and the following variables from frequency scores on sets of variables in the questionnaire: nutritional standard, physical activity, physical health related problem, dental caries, difficulties in fine motor, language or social skills or sleep, and behavioural difficulties in the family. Details are presented in online supplemental appendix 1.

Supplemental material

The Strengths and Difficulties Questionnaire (SDQ)

The SDQ is a screening tool to detect mental health problems in children aged 4–16 years.22 The questionnaire consists of 25 items addressing five subscales with five items in each: emotional problems scale, hyperactivity scale, conduct problems scale, peer problems scale and prosocial scale. Each item is scored on a three-point scale: not true, somewhat true and certainly true, and each scale is scored with a range of 0–10. For the subscales other than the prosocial scale, higher scores mean more symptoms, and scores at or above the 90th percentile are associated with significant mental health problems.22 The prosocial scale is scored opposite to the other subscales, and a score below the 10th percentile may indicate a behaviour problem. A Total Difficulty Score (TDS) is created by summing the scores from the first four subscales (range 0–40), and a TDS at or above the 90th percentile (TDS90) is considered a high risk of having a psychiatric disorder.22 On an impact scale, the parents state whether the child has any difficulties with emotions, concentration, behaviour or in social contact with other people, and if so, which impact it has on everyday life (range 0–10).

The SDQ has been formally translated and validated in Norway.23 It has been widely used in all the Scandinavian countries, and the distribution of SDQ scores is very similar for comparable age groups within Norway and between the Nordic countries.29

Statistics

Descriptive statistics are presented as counts and per cents (%) for categorical variables and as means and SD for continuous variables. We explored the differences in characteristics between the four weight groups UW, NW, OW and OB by using one-way analysis of variance (ANOVA) for continuous and the χ2 test for categorical variables. When ANOVA or χ2 tests across all weight groups showed significant differences, we performed post hoc pairwise testing, comparing the other weight groups to NW with the Dunnet’s t-test for continuous and the χ2 test for categorical variables (table 1).

Table 1

Associations between current weight category and the children’s personal characteristics, health and habits, and current sociodemographic and health characteristics of parents and siblings (A), and between weight category and scores on the Strengths and Difficulties Questionnaire (SDQ) scales (B). Unselected regional cohort of 5-year-old children in Oppland County, Norway

We tested the significance of the weight groups UW, OW and OB as compared with NW, on outcome in terms of TDS90 versus lower TDS scores by logistic regression analyses, both unadjusted and adjusted. We adjusted for variables that differed significantly between groups in the ANOVA or χ2 test analyses, and for variables that we considered relevant from earlier literature and from a theoretical perspective. We adjusted according to two models: In Model 1 we adjusted for the family related covariates, and in Model 2 we added health and lifestyle covariates of the child to the family related covariates (table 2). Associations were described as OR and 95% CI. The explanatory variables were tested for interactions and multicollinearity. We also explored if TDS90 was associated with BMI SDS in linear spline regression analyses.30

Table 2

Logistic regression analyses of associations between Total Difficulties Score ≥90th percentile (TDS90) on the Strengths and Difficulties Questionnaire (SDQ) and weight category in an unselected regional cohort of 5-year-old children in Oppland County, Norway. Results are presented unadjusted and adjusted for family and child related factors

We used Stata for the spline analysis and SPSS Statistics for Windows V.25.0 for the other analyses. P values ≤0.05 were considered statistically significant. BMI SDS were calculated using R V.2.6.0 (The R foundation for Statistical Computing, Vienna, Austria) using Norwegian growth references.25

Results

Of 1895 eligible families, 1119 participated, but analyses were limited to 1088 (57.4%) due to incomplete information for 31 children.

There were significant differences between groups on several health-related and sociodemographic factors (table 1A). In the pairwise analyses, low physical activity and family factors such as low parental education, parents being out of work, single parenthood, non-Western ethnicity, mother smoking and OW or OB in parents and siblings were all significantly associated with OW or OB in the children. UW was only associated with low weight in other family members (table 1A).

There were significant curvilinear associations between mean scores on the SDQ subscales emotional problems and peer problems and weight category with NW as nadir. Scores on the hyperactivity scale and prosocial scale, but not the impact score, showed similar trends (table 1B). There was a similar tendency for the proportion of children with subscale scores at or above the 90th percentile (table 1B). For the mean TDS and TDS90 the curvilinear association was statistically significant (table 1B).

In the unadjusted logistic regression analyses, TDS90 was significantly associated with weight group (table 2). However, compared with the children with NW, the risk of TDS90 was only significantly higher for children with UW and OB, not OW (table 2). TDS90 was also associated with most of the other family and child related social, health and lifestyle factors, but not with the parents’ weight (table 2). When adjusted for family related factors (Model 1), TDS90 was only significantly associated with UW, mother being out of work and behaviour difficulties in the family. When adding child-related variables to the family factors (Model 2), TDS90 was only significantly associated with UW, mother being out of work and skills related to fine motor, language or social function, or sleep behaviour (table 2). Parental weight was not included in the models because missing values reduced the sample size to 806 in Model 1 and 782 in Model 2. However, the results were essentially the same when this variable was included. There were no significant interactions or collinearity between the explanatory variables.

In the multiple linear spline regression with knots dividing the data on BMI SDS into four quartiles, we found a significantly higher, but decreasing risk of TDS90 with increasing BMI SDS within the first quartile (OR=0.48, 95% CI: 0.26 to 0.87), but no changes from the low risk in the second and later quartiles. The results for the other included risk factors did not change substantially.

Discussion

The broad picture from the unadjusted analyses was that children with UW and OB, but not OW, had more psychological problems, expressed as emotional symptoms, peer related problems and TDS90, than children with NW. However, after adjusting for numerous unfavourable family and child related factors, only UW and a BMI SDS similar to UW were independently associated with having psychological problems.

The lack of significant psychological consequences of having OW or OB may be unexpected since such associations are well documented in later life.9–13 It may also be unexpected because preschool children are conscious of and often express dissatisfaction with their body size, including a desire for a thinner or larger body shape.31–33 However, despite this awareness, most preschool children seem to be satisfied with their appearance.33 34 The size may not have a psychological impact at this age because acceptance is largely dependent on the attitudes of the parents.32 Furthermore, although anti-OB attitudes may occur as early as at 3–5 years of age, they do not generally occur in a playmate selection.35 The vast majority of our children were in kindergarten from 2 years of age, and we suggest that this social setting over years may have reduced any tendencies to focus on body size. It has also been reported that girls who were followed from 5 to 7 years of age, tended to idealise a larger body size than their own at 5, but a thinner size at 7.34 However, despite a desire to have a different body size, the girls were satisfied with their appearance, even at 8 years of age.34 The authors therefore suggested that a desire for a different body size represented a cognitive construct without implying psychological consequences.

Our finding that the occurrence of psychological difficulties did not differ between children with OW and NW in any of the analyses, may not be surprising because we have previously shown that Norwegian children with OW are usually perceived by their parents as having a normal body proportion.36 Furthermore, BMI may not be a good measure to differentiate between OW and NW in young children because OW may mainly be due to a high lean body mass.37

The finding that UW per se was associated with psychological difficulties has, to our knowledge, not been reported previously for this age group. In later childhood, children with UW, which also implies shorter stature and lower muscle mass, were almost as likely to be teased by peers as children with OB.38 Dominance, and even bullying and victimisation, are common phenomenon during preschool years,39 and we suggest that the children with UW may suffer from being the weaker or least robust part in a kindergarten setting. Alternatively, that parents’ worry for their lean children19 20 or restrictive attitude to their children’s eating behaviour,20 may have had a negative influence on the children’s mental health. However, we suggest that the latter explanation is less likely since UW, as opposed to OW and OB, was not associated with sociodemographic or family behavioural factors, but with low weight and length at birth and their parents’ BMI which may imply genetic predisposition.21

There has been an ongoing debate on the significance of ADHD or other behavioural problems as risk factors for OW and OB. Two meta-analyses concluded that ADHD is a risk factor for adolescent and adult OW and OB, but not15 or possibly a minimal risk factor14 for childhood OW and OB. Cortese et al did not state the age of included children in their meta-analysis, but from the text it is unlikely that young children were included.14 No preschool children were included in the systematic review by Nigg et al.15 There was no association between behavioural problems and OW or OB in our study, which is in line with the findings in a large Norwegian cohort who was assessed with The Child behaviour Checklist at 18 and 36 months of age.40 In another Norwegian study of children aged 6–12 years, mothers of children with OW and OB rated their children lower on energy, optimism, compliance, concentration, perseverance and self-confidence, and higher on egocentricity, irritability and anxiety than mothers of children with lower BMIs on the Norwegian Hierarchical Personality Inventory for Children.41 These children were older, but we cannot exclude that preschool children with OB may have psychological symptoms that was not detected with the SDQ.

The strengths of the study were the unselected regional setting where we could assume that the participants were reasonably representative of all the eligible children and families, and the extensive information on the families and children who participated. We cannot exclude selection bias since we had no information on social or health issues on families who declined to participate. However, the participation rate varied from 20% to 85% in the different municipalities21 suggesting that varying motivation by public health nurses to recruit families had a greater impact on the participation rate than potential selection bias. The somewhat limited number of participants with weights other than NW and dependencies on reports by parents on questionnaires rather than professional assessments were other weaknesses.

Conclusion

Our results suggest that the excess occurrence of psychological difficulties in preschool children with OW and OB was due to stresses related to family factors rather than their body size. UW and a low BMI was associated with having psychological symptoms, also after adjusting for family-related factors. We suggest that the reason may be that children with UW are the weaker part in a group setting like kindergarten although we cannot exclude that parental concern or restrictive attitudes were of significance.

Acknowledgments

The authors are indebted to the public health care clinics in Oppland county for their contributions in establishing the project, to all the families who volunteered to participate and to registered nurses Anne Berit K Sundby, Turid Skundberg, Ragnhild Gunstad, Liv Thorsen and Randi Asbjørnsen, physiotherapists Karianne Storesund, Randi Bragelien and Merete Welhaven Steen, nutritionists Kristina W Monsbakken and Eli Nyhagen, occupational therapists Gro Lisbeth Hofstad and Gjertrud Skundberg and paediatrician Halvor Bævre for their invaluable contributions in collecting data and conducting the intervention program.

References

Supplementary materials

  • Supplementary Data

    This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.

Footnotes

  • Contributors HMD contributed to planning, statistical analyses, interpretation of results, and initial drafting and writing of the paper. HT participated in analyses and interpretation and initial drafting and writing of the paper. JH contributed to conceptualisation and design of the study, collection of data, planning and interpretation of the results. RB contributed to planning, presentation, analyses and interpretation of results. GEE contributed to planning of presentation and statistical analyses, interpretation of results and writing of the paper. PJ contributed to planning, presentation, analyses and interpretation of results and writing of the paper. TM contributed to conceptualisation and design of the study, collection of data, presentation and interpretation of results and writing of the paper. All authors read and approved the final version of the paper.

  • Funding The study was supported by grants from The South-Eastern Norway Regional Health Authority (Helse Sør Øst) and Innlandet Hospital Trust. Grant number not applicable.

  • Patient consent for publication Not required.

  • Ethics approval The study was approved by the Regional Committee on Medical Research Ethics (REK 1.2006.3491) and the Norwegian Data Protection Official for Research (02-2006 SI). A signed consent was obtained from one of the parents.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data availability statement Data are available upon reasonable request by contacting the corresponding author.

  • Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.