Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-28T10:37:59.321Z Has data issue: false hasContentIssue false

Household and schooling rather than diet offset the adverse associations of height with school competence and emotional disturbance among Taiwanese girls

Published online by Cambridge University Press:  22 March 2021

Lin-Yuan Huang
Affiliation:
Institute of Population Health Sciences, National Health Research Institutes, 35 Keyan Road, Zhunan Town, Miaoli County, Taiwan35053, Republic of China
Meei-Shyuan Lee
Affiliation:
School of Public Health, National Defense Medical Center, Taipei, Taiwan, Republic of China Monash Asia Institute, Monash University, Victoria, Australia
Po-Huang Chiang*
Affiliation:
Institute of Population Health Sciences, National Health Research Institutes, 35 Keyan Road, Zhunan Town, Miaoli County, Taiwan35053, Republic of China
Yi-Chen Huang
Affiliation:
Department of Nutrition, China Medical University, Taichung, Taiwan, Republic of China
Mark L Wahlqvist*
Affiliation:
Institute of Population Health Sciences, National Health Research Institutes, 35 Keyan Road, Zhunan Town, Miaoli County, Taiwan35053, Republic of China School of Public Health, National Defense Medical Center, Taipei, Taiwan, Republic of China Department of Nutrition, China Medical University, Taichung, Taiwan, Republic of China Monash Asia Institute, Monash University, Victoria, Australia
*
*Corresponding authors: Email [email protected]; [email protected]
*Corresponding authors: Email [email protected]; [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Objective:

Short stature may reflect health in early life and be an enduring disability. How birth weight, gender, household, elementary schooling and diet play a role in associations between stature and overall school competence (OSC) have been assessed.

Design:

The 2001–2002 Nutrition and Health Survey in Taiwan (NAHSIT) for elementary schoolchildren (n 2274, 52·1 % boys) was linked to birth records. It provided sociodemographic, dietary quality, body compositional and school performance (as Scale for Assessing Emotional Disturbance, SAED; OSC as an SAED subscale) data. Lower birth weight was ≤15th percentile: 2850 g for boys and 2700 g for girls, and stature as z-scores for Taiwanese. Multivariable linear regression was used for relationships between OSC and stature. Trends in OSC by stature and school grade were assessed.

Setting:

The 2001–2002 NAHSIT for elementary schoolchildren.

Participants:

Totally, 2274 schoolchildren aged 6–13 years.

Results:

Compared to normal height (−2< height for age z-score (HAZ) <2), shorter girls (HAZ ≤ −2) had a lower OSC (8·87 v. 10·5, P < 0·05) and taller girls (HAZ ≥ 2) had a better OSC (12·3 v. 10·5, P < 0·001). Maternal education and household income each contributed more than 5 % of OSC variance. OSC and HAZ among girls were positively associated and emotional disturbance negatively associated. Shortness-associated lower OSC underwent remediation with advancing school grade. Stature and OSC were not evidently related in boys.

Conclusions:

Shorter stature can compromise OSC among school girls. The major determinants in shorter girls are less household income and limited parental education.

Type
Research paper
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of The Nutrition Society

Height is a perennial concern among individuals, their parents, sociologists and health workers. Its determinants are generally regarded as genetic(Reference Wainschtein, Jain and Yengo1,Reference Geddes2) , environmental (especially through hygiene)(Reference Silventoinen3,Reference Kuh and Wadsworth4) , societal(Reference Kuh and Wadsworth4), economic(Reference Silventoinen3), gestational (intrauterine fetal growth restriction, IUGR)(Reference Lukito, Wibowo and Wahlqvist5), dietary(Reference Perkins, Subramanian and Davey Smith6,Reference Grasgruber, Cacek and Kalina7) and consequent on episodic illness. Insofar as height outcomes are concerned, the most worrisome have been those to do with how shortness might be associated with compromised educability along with social, mental and physical functionality. Global programmes like Scaling Up Nutrition (SUN) are promoted on evidence that the first 1000 d of life from conception affect height and health relationships(Reference Bezanson and Isenman8). These may offer a window for prevention and remediation of impaired development, reflected in part by linear growth and manifest as ‘stunting’(Reference Martorell, Khan and Schroeder9,Reference de Onis and Branca10) . In this vein, efforts are made to enable infants and children to grow faster and taller. However, whether height itself or its associated determinants are responsible for the various height-associated dysfunctions is by no means settled. That ‘healthy shortness’ is not only possible, but common is a reality.

The present population-based and representative study of children, with documented birth weight, from elementary school in a relatively socio-economically advanced country, Taiwan, seeks to understand the associations between growth and ‘overall school competence (OSC)’ in children of dominantly Chinese, but also indigenous, ancestry. We hypothesised that shorter children may be more vulnerable to socio-environmental risk factors, including household income and parental education, insofar as school performance is concerned (Fig. 1).

Fig. 1 Hypothetical associations and pathways for height and school performance

Materials and methods

Study design and participants

The present study was cross-sectional in design. Participants were schoolchildren aged 6–13 years who enrolled in the Nutrition and Health Survey in Taiwan (NAHSIT) 2001–2002(Reference Tu, Hung and Chang11Reference Chiang, Huang and Lo13). All 359 townships and districts were grouped into 13 strata by regional dietary pattern, urbanisation, and geographical characteristics. The probability proportional to population size method was used to select 2407 children from 104 elementary schools (8 schools from each stratum) randomly. Questionnaires, by face-to-face household interview, and physical examinations allowed children’s demographic and anthropometric information to be obtained, along with food intake and physical activity. NAHSIT was linked to birth registration for birth weight. After taking account of missing data, 2274 children (52·1 % boys) were eligible for analysis.

Height

We calculated gender- and age-specific z-scores for height (HAZ) in this population representative sample of Taiwanese schoolchildren to identify height status. HAZ ≤ −2 was classified as ‘stunted’, ≥ 2 was ‘tall’ and between > −2 and < 2 was ‘normal height’(Reference de Onis and Branca10,14) .

The Scale for Assessing Emotional Disturbance

The Chinese version used in Taiwan of the Scale for Assessing Emotional Disturbance (SAED) questionnaires was originally developed by Epstein and Cullinan(Reference Epstein, Cullinan and Ryser15Reference Epstein, Cullinan and Harniss17). It has a validity of 0·76 and reliability of 0·92(Reference Cheng18). This was the basis of our assessment of overall school performance (OSC) and emotional disturbance by the student’s Class Mentor teacher, as previously described(Reference Lee, Huang and Chang12,Reference Chiang, Huang and Lo13,Reference Cheng18Reference Huang, Wahlqvist and Lee20) . The SAED has seven subscales: Inability to Learn (IL), Relationship Problems (RP), Inappropriate Behaviour (IB), Unhappiness or Depression (UD), Physical Symptoms or Fears (PF), Social Maladjustment (SM) and OSC. The standardised SAED scores had a mean of 10 and a sd of 3. Children with higher SAED subscales are considered to have more serious emotional and behavioural disorders, whereas a higher OSC indicates a favourable school performance(Reference Epstein, Cullinan and Ryser15,Reference Epstein and Cullinan16,Reference Cheng18Reference Huang, Wahlqvist and Lee20) .

Covariates

Covariates were derived by questionnaire or physical measurement. Potential covariates for the associations between height and either OSC or other SAED subscales included gender, school grade, living region, maternal education (primary and below, junior high school, senior high school, university and above), household income (0–30 000, 30 000–50 000, 50 000–80 000, ≥80 000 NTD/month), dietary quality (The Youth Healthy Eating Index-Taiwan, YHEI-TW), lower birth weight (≤ 15th percentile, 2850 g for boys and 2700 g for girls), BMI (classified as underweight, normal, overweight or obese for Taiwanese children)(Reference Chiang, Huang and Lo13,Reference Chu and Pan21) and physical activity (0, 0–30, 30–60, ≥60 min/d). We adjusted for all thirteen regions, since there are known differences in many variables, including the food and health systems, school ecology, ethnicity and natural environment from coastal to mountainous(Reference Chiang, Wahlqvist and Lee22). Ethnicity in Taiwan is highly correlated with region and, therefore, by inclusion of region as a covariate, we largely take account of it. YHEI-TW (0–90) was used to assess dietary quality(Reference Lee, Huang and Chang12,Reference Feskanich, Rockett and Colditz23,Reference Yu24) . To avoid multicollinearity, paternal education has not been included because it was highly correlated with both maternal education and household income.

Statistical analysis

The distributions of basic characteristics among schoolchildren according to HAZ (≤ −2, −2 < HAZ < 2 and ≥ 2) were assessed by chi-square and ANOVA tests. On the basis of previous studies in this population(Reference Lee, Huang and Chang12,Reference Chiang, Huang and Lo13,Reference Chiang, Wahlqvist and Lee22) , gender-specific multivariable linear regression was used to evaluate the relationships between OSC, emotional disturbance and height adjusted for covariates. Linear trends in OSC by height and school grade were assessed by multivariable linear regression. Statistical analyses were performed using SAS for Windows version 9.4 and SUDAAN 11.0.3. To obtain unbiased weighted estimates of standard errors, SUDAAN was used to adjust for the design effects of cluster sampling as well as to ensure representativeness(Reference Shah, Barnwell and Bieler25).

Results

Table 1 shows basic characteristics of schoolchildren based on HAZ categories. There were 2274 schoolchildren who were representative of 1 806 919 in total in Taiwan at that time. Stunting was evident in 1·98 % (representing 35 772) of the children in this study (57·4 % boys). Children living in mountainous areas, principally indigenous, had a higher stunting rate (3·97 %) than any other region (P = 0·001). Stunted children more often had parents with less education (55·1 % of mothers had a primary education level or less, as did 30·8 % of fathers) and came from households with lower incomes (P = 0·006). Some 16·2 % of stunted children had lower birth weights (P < 0·001) and 34·4 % were underweight (P < 0·001). Compared with taller children (21·7 %), only 3·87 % of stunted children exercised more than 1 h a day (P = 0·013). The YHEI-TW scores were not significantly different among HAZ groups. In terms of dietary intakes, stunted children had lower carbohydrate and higher fat nutrient densities than did taller children (129 v. 147, and 37·6 v. 29·9 g/1000 kcal). Among HAZ groups, shorter children had the highest LDL-cholesterol (116 mmol/l) and the taller had the highest serum uric acid (6·89 mmol/l).

Table 1 Basic characteristics of schoolchildren by HAZ categories (n 2274)

HAZ, height for age z-score; YHEI-TW, The Youth Healthy Eating Index-Taiwan.

Values expressed as means ± se or numbers (percentage).

Test of the distributions across height z-score groups by chi-square tests and ANOVA.

* Percentages are weighted by SUDAAN to reflect their representativeness in the population.

P < 0·05 for difference between shorter and taller by t test where this superscript is shown.

Shorter girls (HAZ ≤ −2) had lower OSC scores compared with those of normal height (−2 < HAZ < 2) (8·87 v. 10·5, P < 0·05), and taller girls (HAZ ≥ 2) had better scores (12·3, v. 10·5, P < 0·001). Except for SM, all SAED subscales were lower among taller girls (IL, 8·30, P < 0·001; RP, 8·48, P < 0·001; IB, 8·47, P < 0·001; UD, 8·83, P < 0·01; and PF, 8·76, P < 0·001) compared to normal height (Table 2). There were no evident differences in any SAED score for boys among HAZ groups.

Table 2 Scale for Assessing Emotional Disturbance (SAED) z-scores by gender and HAZ groups

HAZ, height for age z-score.

Mean values of SAED z-scores among HAZ groups were significantly different from those of the normal height group (−2 < HAZ < 2, reference group): *P< 0·05; **P < 0·01; ***P< 0·001.

Table 3 shows the multivariable linear regression for OSC and HAZ. There was a significant positive association between OSC and children’s HAZ, especially in girls (P for trend < 0·001). Among shorter girls, after adjustment for school grade and region (Model 1), HAZ was negatively associated with OSC (β = −1·688, P < 0·01), but the significance was lost when adjusted for mother’s education (Model 2, β = −0·60, P > 0·05). Further adjustments with other covariates did not alter this finding. However, taller girls had significantly higher OSC scores than normal height girls regardless of adjustments. There were no apparent associations for boys (data not shown).

Table 3 Multiple linear regressions for overall school competence (OSC) and HAZ by gender

HAZ, height for age z-score; YHEI-TW, The Youth Healthy Eating Index-Taiwan.

* Percentages are weighted by SUDAAN to reflect their representativeness in the population.

Model 1: adjusted for grade and region.

Model 2: Model 1 + mother’s education.

§ Model 3: Model 2 + household income.

|| Model 4: Model 3 + YHEI-TW, and physical activity.

Model 5: Model 4 + low birth weight (yes or no), and BMI (underweight, normal, and overweight or obese).

The multivariable linear regression for the contribution of HAZ to SAED components in girls are shown in Table 4. There was no justification for similar analysis for boys given the negativity of findings in Table 2. Taller girls had lower IL (β = −1·03, P < 0·05), RP (β = −0·96, P < 0·001), IB (β = −0·80, P < 0·01), UD (β = −0·83, P < 0·05) and total SAED (β = −1·07, P < 0·01) scores. Compared with normal height girls, taller girls had a lower PF in Model 2 (adjusted for grade, region and mother’s education, β = −0·79, P < 0·05), but the significance was lost in Model 3 (household income was adjusted).

Table 4 Multiple linear regressions for SAED and HAZ in girls

HAZ, height for age z-score; SAED, Scale for Assessing Emotional Disturbance; YHEI-TW, The Youth Healthy Eating Index-Taiwan.

* Model 1: adjusted for grade and region.

Model 2: Model 1 + mother’s education.

Model 3: Model 2 + household income.

§ Model 4: Model 3 + YHEI-TW, and physical activity.

|| Model 5: Model 4 + low birth weight (yes or no), and BMI (underweight, normal, and overweight or obese).

Figure 2 shows the correlations between OSC and HAZ by school grade and gender, adjusted for potential covariates, though there was no significance interaction between gender and grade (P = 0·604) on OSC. However, the basic rationale for grade stratification is to explore the persistence or otherwise of the association between stature and school performance with educational advancement. For girls in grades 3 and 4, there was a positive association between OSC and HAZ (P for trend = 0·003). However, this relationship of shortness with OSC undergoes progressive remediation with the advance to school grades 5 and 6. This was not evident for boys.

Fig. 2 Multiple linear regressions1 for overall school competence and the height z-score by grade and gender. 1Model adjusted for gender, region, mother’s education, household income, YHEI-TW, physical activity, low birth weight and BMI. YHEI-TW, The Youth Healthy Eating Index-Taiwan

Discussion

Childhood height and overall school competence

At a time when international nutrition policy and action is focused on stunting, there remains controversy about whether height itself is a health problem or a composite indicator of associated health risks. This is particularly the case for stunting as a consequence of malnutrition, infection or social deprivation, any one of which might be the fundamental or actual problem. The outcomes of so-called stunting of greatest concern are those to do with cognitive and mental health, reflected in successful learning(Reference Perumal, Bassani and Roth26).

In this Taiwanese study, shorter children, notably girls, are more vulnerable to less good school performance compared with their normal height and taller counterparts. Compared with normal height children, short children’s IQ scores have been found normal, although scholastic attainment, especially reading, may be less good(Reference Voss, Bailey and Mulligan27).

Taller Taiwanese elementary school girls have an OSC and emotional advantage, not evident in boys. This is consistent with studies which have found that children with a greater HAZ have better mathematics scores(Reference Haile, Nigatu and Gashaw28Reference Sarma, Wijesinghe and Sivananthawerl30).

Adjustments for various confounders show that parental and household factors play an important role in the height–OSC associations. Voss et al have shown that short children with a low socio-economic status are underachievers(Reference Voss, Bailey and Mulligan27).

Height, overall school competence, grade and gender

Taller girls exhibit less social and emotional problems than their normal height counterparts. Aside from gender, these findings are consistent with other studies of growth and development. In this and other studies, interpretative problems are encountered with confounders and directionality of cause and effect(Reference Cinnirella, Piopiunik and Winter31Reference Dwyer, Sallis and Blizzard34). Thus, is it that growth and development in girls more than boys is more likely to affect OSC, both favourably and unfavourably? Or is it that OSC can affect growth and development in accordance with gender? Insofar as poorer OSC in girls is concerned, its association with height is most evident in school grades 3–4 but is not apparent in grades 5–6 (Fig. 2). Perhaps the height–OSC association is malleable. Since the present study found household (parental and socio-economic) and schooling determinants of the height–OSC association, they are likely to be more relevant for girls than for boys.

Elementary schoolchildren in Taiwan are automatically promoted each year regardless of school performance but often with in and out of school catch up programmes. At least every student is progressively exposed with advancing grade to a more mature educational environment, and with it, the association between shortness and school performance disappears. It remains uncertain how much getting older in its own right or schooling accounts for the changing association.

In the present study, the gender difference in susceptibility where no significant relationship is seen in boys by comparison with girls is striking. It is possible that this represents sociocultural differences in upbringing and schooling, in timing of menarche or puberty, or in some other biological difference. However, most children were pre-pubertal and there were no differences in mean age by height status. Puberty was not ascertained in our study and is a limitation.

Intra-uterine development

In the present population, the shorter children were more likely to have had lower birth weights (by threefold) and to be currently underweight (by 2·5-fold); their taller counterparts had neither problem. We have previously found that Taiwanese elementary school girls who had lower birth weights are predisposed to poorer OSC and emotional problems, but that if they have a nutritious varied diet, this risk is diminished(Reference Lee, Huang and Chang12). In this study, we were unable to detect a contribution by current dietary quality to OSC or emotional disturbance by height after consideration of lower birth weight. These findings imply that intra-uterine development is a more important factor, amenable to diet, than is the current height insofar as OSC and emotional disturbance are concerned.

Personal behaviour, diet, infection, height and overall school competence

Recurrent infection is one of the most accepted contributors to the perceived height–cognitive performance linkage, but even deworming in children highly affected by helminthiasis has not supported convincingly this association(Reference Dickson, Awasthi and Williamson35). In this study, we do not have information about exposure to recurrent infection. In Taiwan, schoolchildren are routinely provided with vaccination and deworming programmes, and school hygiene is emphasised so that helminthiasis is unlikely to contribute to height and OSC. However, remoteness and being indigenous in mountainous areas with limited health care facilities may increase susceptibility to this problem; these children are shorter and could fall into this category.

Children who exercise ≥ 60 min/d are less likely to be shorter. However, both might be socio-economically dependent and coincidentally related. Although no food or food pattern differences were evident in relation to height, greater carbohydrate consumption was associated with less shortness. It is noteworthy that the index of dietary quality used, namely YHEI-TW, is not different among girls or boys according to stature, but the taller children consume more energy, as might be expected. The prevailing conversation about shortness and tallness has to do with food intake. We wanted to thoroughly test the proposition that any association of stature with school performance might actually have been attributable to a dietary characteristic such as pattern, particular food or foods, nutrient or nutrient density. As it transpired, only macronutrient densities (carbohydrate and fat) were associated as shown in Table 1.

Parental and household factors as modulators in height and overall school competence

We have found that socio-economic factors, reflected in household income, together with schooling itself, offset the effects of height on school performance and emotional disturbance. This may not be surprising given that household functionality will ordinarily be a composite of the activities, educational achievements and economics of its several members. It is for this reason that we have described the present study as one of both household and schooling in their potential consequences for how height might be achieved and relevant.

Though father’s education explains more variance (9·7 %) in OSC than does that of mother’s (7·8 %), we chose to model maternal education in preference for two reasons. Firstly, there is a recognised relatively greater closeness of mothers to children’s schooling and daily activities in Taiwanese society(Reference Chen, Newland and Liang36). Secondly, paternal education is highly correlated with household income, another important covariate, which accounts for 5·4 % of the variance (additional file 1). Sensitivity analysis shows that the replacement of maternal with paternal education in the models for height and OSC or emotional disturbance makes little difference to the findings (data not shown).

We consider that maternal education is a construct which goes well beyond the simple stratification of years achieved and represents broad sociocultural relevance to child development. Likewise, other variables represent domains beyond the simple measures available by questionnaire and, therefore, residual confounding which is unavoidable.

Being indigenous

Those children who lived in mountainous Taiwan are principally indigenous. Relatively more of them are shorter than their non-indigenous counterparts. In addition, indigenous children have less good dietary quality and less favourable school performance. They will be represented among those shorter girls who exhibited less good OSC and this could be associated with their diet. However, after restricted analysis for indigenes children, diet did not account for the relationships between height and school performance any more than in Taiwanese children as a whole (additional file 2). The indigenous children can be expected to overcome any height-related disadvantage as they progress to higher school grades. Moreover, since indigenous adult Taiwanese whose diets are more diverse and nutritious overcome their survival disadvantage(Reference Liu, Huang and Lo37), nutritionally deprived indigenous children can expect longer-term benefit from attention to their less good dietary quality notwithstanding their shortness.

Schooling as a modulator of height-associated overall school competence

In early life, narrow time frames of a few months or of 1 or 2 years make a significant difference in biological, social and behavioural development. In our study, advancing from the lowest to the highest elementary school grades is associated with a disappearance of this linkage. This suggests that age or education/schooling may overcome the OSC disadvantage of relative shortness. It is likely that, as children grow older and are more educated, other factors to do with height and performance in general might become evident.

Strengths and weaknesses

Strengths of this study are that it is nationally representative and has linked child nutrition and health information to birth records.

It might be argued that it would be preferable to use the more internationally recognised WHO criteria for stunting in a study of shortness in Taiwan(Reference Perumal, Bassani and Roth38). However, neither low birth weight (<2500 g) nor stunting (HAZ ≤ −2 by WHO reference) are common in Taiwan. Only 1·29 %, rather than the theoretical 2·3 % of children in this study, were stunted by WHO criteria. The question is whether, in a Taiwanese sociocultural setting, height is of consequence for school performance. For this reason, we have used local anthropometric reference criteria and a representative population. Moreover, an exploration of the relationship between child height and OSC using WHO reference standards revealed no detectable linkage, whereas it was evident using Taiwanese criteria (data not shown). Of particular relevance, the association in Taiwan was found to be dependent especially on maternal literacy, household income and schooling. These differences between the WHO and Taiwanese reference point analyses and the dependencies of the Taiwanese association have provided a measure of confidence that the potential adverse effects or benefits of achieved height are amenable to prevention or even optimisation.

Another limitation is that the study was cross-sectional. This means that the associations found with height may not have causal relevance. We have used grade to categorise children’s progression with schooling and its relationship with height. The conclusion we reach about the loss of association of height and OSC by more senior grades may actually be a relationship with age, but this is methodologically not possible to separate in our study setting. An alternative interpretation of our findings might be that it is stage of maturity rather than school grade which overcomes any disadvantage of height for SAED. The data used in this study are not contemporary but address associations to do with biological principles about height. It must be acknowledged, however, that the socio-economic context of 2000–2001 may have evolved to alter the findings in this report.

We consider that maternal education is a construct which goes well beyond the simple stratification of years achieved and represents broad sociocultural relevance to child development. Likewise, other variables represent domains beyond the simple measures available by questionnaire and, therefore, residual confounding which is unavoidable.

Policy implications of childhood height

The present study has found that, where malnutrition is uncommon, the contribution of shortness to school performance has more to do with parental education and financial security than height itself. Moreover, schooling may enable the resolution of an adverse association. This understanding may be of greater importance to girls than boys. It follows that the simple provision of nutrient supplements is unlikely to be of benefit for children on account of a linkage between shortness and learning.

Conclusions

Shortness can compromise OSC among Taiwanese elementary schoolchildren, particularly girls, but this undergoes progressive remediation with advancing school grade. The major determinants of impaired OSC in short girls are household income and maternal education which, if avoided, offer preventive strategies for avoidance of short stature-related OSC impairment. In all cases, taller girls are OSC-advantaged over their shorter peers.

Acknowledgements

Acknowledgements: Prof Wen-Harn Pan is the coordinator of the Nutrition and Health Surveys in Taiwan (NAHSIT) on which the project was based. Financial support: The present study was supported by National Health Research Institutes in Taiwan grant number PH-109-PP-18, which supported the NAHSIT data acquisition and provide the article processing charge. Conflict of interest: The authors have no conflict of interest in regard to this paper. Authorship: L.Y.H.: study design, data analysis and interpretation, and revision of the manuscript. M.S.L.: conception and design, acquisition of data and interpretation, revision of the manuscript, technical and supervision. P.H.C.: study design, data interpretation and revision of the manuscript. Y.C.H.: study design, data interpretation and revision of the manuscript. M.L.W.: conception and study design, data interpretation, and revision of the manuscript. All authors read and approved the final manuscript. Ethics of human subject participation: This study was conducted according to the guidelines laid down in the Declaration of Helsinki, and all procedures involving research study participants were approved by the Institutional Review Board from the National Health Research Institutes, Taiwan (IRB number: EC1051201-E).

Supplementary material

For supplementary material accompanying this paper, visit https://doi.org/10.1017/S136898002100121X

References

Wainschtein, P, Jain, DP, Yengo, L et al. (2019) Recovery of trait heritability from whole genome sequence data. bioRxiv. Published online: 25 March 2019. doi: 10.1101/588020.Google Scholar
Geddes, L (2019) Genetic study homes in on height’s heritability mystery. Nature 568, 444445.CrossRefGoogle Scholar
Silventoinen, K (2003) Determinants of variation in adult body height. J Biosoc Sci 35, 263285.CrossRefGoogle ScholarPubMed
Kuh, D & Wadsworth, M (1989) Parental height: childhood environment and subsequent adult height in a national birth cohort. Int J Epidemiol 18, 663668.CrossRefGoogle Scholar
Lukito, W, Wibowo, L & Wahlqvist, ML (2019) Maternal contributors to intergenerational nutrition, health, and well-being: revisiting the Tanjungsari Cohort Study for effective policy and action in Indonesia. Asia Pac J Clin Nutr 28, Suppl. 1, S1S16.Google ScholarPubMed
Perkins, JM, Subramanian, S, Davey Smith, G et al. (2016) Adult height, nutrition, and population health. Nutr Rev 74, 149165.CrossRefGoogle ScholarPubMed
Grasgruber, P, Cacek, J, Kalina, T et al. (2014) The role of nutrition and genetics as key determinants of the positive height trend. Econ Hum Biol 15, 81100.CrossRefGoogle ScholarPubMed
Bezanson, K & Isenman, P (2010) Scaling up nutrition: a framework for action. Food Nutr Bull 31, 178186.Google Scholar
Martorell, R, Khan, LK & Schroeder, DG (1994) Reversibility of stunting: epidemiological findings in children from developing countries. Eur J Clin Nutr 48, S45S57.Google ScholarPubMed
de Onis, M & Branca, F (2016) Childhood stunting: a global perspective. Matern Child Nutr 12, Suppl. 1, 1226.CrossRefGoogle ScholarPubMed
Tu, SH, Hung, YT, Chang, HY et al. (2007) Nutrition and health survey of Taiwan elementary school children 2001–2002: research design, methods and scope. Asia Pac J Clin Nutr 16, Suppl. 2, 507517.Google Scholar
Lee, MS, Huang, LY, Chang, YH et al. (2012) Lower birth weight and diet in Taiwanese girls more than boys predicts learning impediments. Res Dev Disabil 33, 22032212.CrossRefGoogle ScholarPubMed
Chiang, PH, Huang, LY, Lo, YT et al. (2013) Bidirectionality and gender differences in emotional disturbance associations with obesity among Taiwanese schoolchildren. Res Dev Disabil 34, 35043516.CrossRefGoogle ScholarPubMed
World Health Organization (2008) WHO Child Growth Standards: Training Course on Child Growth Assessment. Geneva: WHO. https://www.who.int/childgrowth/training/module_h_directors_guide.pdf (accessed November 2020).Google Scholar
Epstein, MH, Cullinan, D, Ryser, G et al. (2002) Development of a scale to assess emotional disturbance. Behav Disord 28, 522.CrossRefGoogle Scholar
Epstein, MH & Cullinan, D (1998) Scale for Assessing Emotional Disturbance: Examiner’s Manual. Austin, Texas: PRO-ED, Inc.Google Scholar
Epstein, MH, Cullinan, D, Harniss, MK et al. (1999) The scale for assessing emotional disturbance: test–retest and interrater reliability. Behav Disord 24, 222230.CrossRefGoogle Scholar
Cheng, L (2001) Scale for Assessing Emotional Disturbance: Examiner’s Manual (Chinese Edition). Taipei: Psychological Publishing Co.Google Scholar
Fu, ML, Cheng, L, Tu, SH et al. (2007) Association between unhealthful eating patterns and unfavorable overall school performance in children. J Am Diet Assoc 107, 19351943.CrossRefGoogle ScholarPubMed
Huang, LY, Wahlqvist, ML, Lee, MS et al. (2018) Dietary quality linkage to overall competence at school and emotional disturbance in representative Taiwanese young adolescents: dependence on gender, parental characteristics and personal behaviors. Nutr J 17, 29.CrossRefGoogle ScholarPubMed
Chu, NF & Pan, WH (2007) Prevalence of obesity and its comorbidities among schoolchildren in Taiwan. Asia Pac J Clin Nutr 16, Suppl. 2, 601607.Google ScholarPubMed
Chiang, PH, Wahlqvist, ML, Lee, MS et al. (2011) Fast-food outlets and walkability in school neighbourhoods predict fatness in boys and height in girls: a Taiwanese population study. Public Health Nutr 14, 16011609.CrossRefGoogle ScholarPubMed
Feskanich, D, Rockett, HR & Colditz, GA (2004) Modifying the healthy eating index to assess diet quality in children and adolescents. J Am Diet Assoc 104, 13751383.CrossRefGoogle ScholarPubMed
Yu, X (2007) Overall Dietary Quality Indices and Nutritional Knowledge, Attitude, and Status in the Children of Taiwan. Taipei, Taiwan: National Defense Medical Center.Google Scholar
Shah, BV, Barnwell, BG & Bieler, GS (2001) SUDDAN User’s Manual, 8th ed. Research Triangle Park, NC: Research Triangle Institute.Google Scholar
Perumal, N, Bassani, DG & Roth, DE (2018) Use and misuse of stunting as a measure of child health. J Nutr 148, 311315.CrossRefGoogle ScholarPubMed
Voss, L, Bailey, B, Mulligan, J et al. (1991) Short stature and school performance-the Wessex growth study. Acta Paediatr Scand Suppl 80, 2931.CrossRefGoogle Scholar
Haile, D, Nigatu, D, Gashaw, K et al. (2016) Height for age Z score and cognitive function are associated with Academic performance among school children aged 8–11 years old. Arch Public Health 74, 17.CrossRefGoogle Scholar
Sunny, BS, DeStavola, B, Dube, A et al. (2018) Does early linear growth failure influence later school performance? A cohort study in Karonga district, northern Malawi. PLoS One 13, e0200380.CrossRefGoogle ScholarPubMed
Sarma, MSG, Wijesinghe, D & Sivananthawerl, T (2013) The effects of nutritional status on educational performance of primary school children in the plantation sector in Nuwara Eliya Educational Zone. Trop Agric Res 24, 203214.CrossRefGoogle Scholar
Cinnirella, F, Piopiunik, M & Winter, J (2011) Why does height matter for educational attainment? Evidence from German children. Econ Hum Biol 9, 407418.CrossRefGoogle ScholarPubMed
Kim, B & Park, MJ (2009) The influence of weight and height status on psychological problems of elementary schoolchildren through child behavior checklist analysis. Yonsei Med J 50, 340344.CrossRefGoogle ScholarPubMed
Taylor-Robinson, DC, Maayan, N, Soares-Weiser, K, et al. Deworming drugs for soil-transmitted intestinal worms in children: effects on nutritional indicators, haemoglobin, and school performance. Cochrane Database Syst Rev issue 7, CD000371.Google Scholar
Dwyer, T, Sallis, JF, Blizzard, L et al. (2001) Relation of academic performance to physical activity and fitness in children. Pediatr Exerc Sci 13, 225237.CrossRefGoogle Scholar
Dickson, R, Awasthi, S, Williamson, P et al. (2000) Effects of treatment for intestinal helminth infection on growth and cognitive performance in children: systematic review of randomised trials. BMJ 320, 16971701.CrossRefGoogle ScholarPubMed
Chen, HH, Newland, LA, Liang, YC et al. (2016) Mother educational involvement as a mediator between beliefs, perceptions, attachment, and children’s school success in Taiwan. J Fam Stud 22, 119.CrossRefGoogle Scholar
Liu, CK, Huang, YC, Lo, YTC et al. (2019) Dietary diversity offsets the adverse mortality risk among older indigenous Taiwanese. Asia Pac J Clin Nutr 28, 593600.Google ScholarPubMed
Perumal, N, Bassani, DG & Roth, DE (2018) Use and misuse of stunting as a measure of child health. J Nutr 148, 311315.CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1 Hypothetical associations and pathways for height and school performance

Figure 1

Table 1 Basic characteristics of schoolchildren by HAZ categories (n 2274)

Figure 2

Table 2 Scale for Assessing Emotional Disturbance (SAED) z-scores† by gender and HAZ groups

Figure 3

Table 3 Multiple linear regressions for overall school competence (OSC) and HAZ by gender

Figure 4

Table 4 Multiple linear regressions for SAED and HAZ in girls

Figure 5

Fig. 2 Multiple linear regressions1 for overall school competence and the height z-score by grade and gender. 1Model adjusted for gender, region, mother’s education, household income, YHEI-TW, physical activity, low birth weight and BMI. YHEI-TW, The Youth Healthy Eating Index-Taiwan

Supplementary material: File

Huang et al. supplementary material

Huang et al. supplementary material

Download Huang et al. supplementary material(File)
File 30.3 KB