Unhealthy weight among children in Spain and the role of the home environment
BMC Research Notes volume 11, Article number: 591 (2018)
Unhealthy weight is a major global health concern. This study examines unhealthy weight among children in Spain and the role of the home environment therein. Data are from a 2010 national survey of families with children. We examined unhealthy weight among children ages 5–10 years using the WHO Child Growth Standards and used multivariate logistic regression to assess associations with family characteristics.
There was a high prevalence of unhealthy weight, with only 46% of children at normal weight. Both underweight and obesity were higher among boys (14%; 22%) than girls (13%; 12%). Underweight and obesity were higher among children of mothers with obesity and those with unemployed parents. Obesity was higher among children of mothers who were less educated (35%) and among children of immigrants (19%). We find high levels of unhealthy weight in children, with both underweight and obesity being predicted by the same family environment characteristics.
Underweight and obesity each contribute to negative health outcomes . Obesity is a factor in morbidity and mortality from chronic conditions such as diabetes and cardiovascular disease globally . Obesity during childhood is a major health concern due to its growing prevalence and the short- and long-term health problems [3,4,5]. Underweight is known to exacerbate morbidity and mortality from infectious conditions such as tuberculosis and malaria .
Spain experienced an economic crisis starting in 2008, followed by a slow recovery , leading to concerns about healthy growth in children . According to the Childhood Obesity Surveillance Initiative (COSI) (2008–2009), Spain has the second highest prevalence of obesity in Europe among primary school age children (22% in children age 9 years), just behind Greece (31%) [5, 8]. Underweight among school-aged children in Europe is estimated to range between 3.3% in Greece  to 11.7% in Lithuania [10, 11]. Disparities in unhealthy weight across Europe have been attributed to differences in consumption patterns, levels of physical activity and inactivity, and childcare practices .
Children’s weight is thought to be heavily influenced by family environment through quality and quantity of food, eating patterns, and distribution of resources among family members [13,14,15]. The family environment may be linked with child nutrition through child’s age, gender, and daycare attendance; mother’s age at childbirth; parents’ weight, marital status, employment, and education; co-residence of grandparents and siblings; family income and activities [14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]. The associations between these factors and weight sometimes differ across countries; for example, parents’ marital status has been associated with obesity in the US , but not in Norway .
In Spain, children whose parents have obesity have higher odds of overweight . Parents’ socioeconomic status and employment, particularly mothers’ employment, are associated with higher obesity risks among children and youth [25, 28], though these associations have not been observed in other European countries [19, 26, 27]. Even in higher-income countries, economic crises can lead to malnutrition, both underweight  and obesity .
Previous studies of unhealthy weight in Europe have focused on obesity , but do not examine under-nutrition . In light of recent economic crises in high-income countries, including Spain, it is important to consider both underweight and overweight. We present estimates of the prevalence of unhealthy weight—underweight, overweight, and obesity—among elementary school-aged children in Spain and explore associations with the home environment.
Data are from Encuesta de Relaciones Inter e Intrageneracionales en la Infancia, a nationally representative survey of households with children ages 0–10 years in Spain  fielded in 2010 (n = 2206). The response rate was 33.4%, which is similar to published studies employing these methods . Sampling was done through a proportionate-to-population cluster design using regions as clusters and households with children within regions stratified by size of the municipality, child’s sex and age. Interviews were conducted over the phone in Spanish using computer-assisted telephone interviewing (CATI) software. Data were collected with the previous verbal informed consent of the participants and researchers had only access to deidentified data, guaranteeing their anonymity and privacy. According to ethical assessment in Spain , no ethical assessment was necessary. The present study uses data from interviews with the parents of school-aged children (ages 5–10 years) who participated in a 62-item parent questionnaire (n = 844) (Additional file 1). Many questions draw from well-established surveys of child wellbeing such as ECLS-K, Add Health, or The Fragile Families and Child Wellbeing Study [35,36,37,38].
To measure unhealthy weight, we evaluated children’s weight status using the WHO growth reference for school-aged children, which estimates BMI z-scores relating a child’s weight and height to children of the same age and sex from a reference population. Based on parent-reported weight, height, sex, and age of children, we constructed BMI z-scores and used the WHO cut-off points for underweight (< −2 SD below the mean), normal weight (≥ −2 and < 1), overweight (≥ 1 and ≤ 2 SD above the mean), and obesity (≥ 2 SD above the mean) .
We examined characteristics that may be linked with unhealthy weight based on previous literature. Bio-demographic measures included child’s gender and age, whether the parents reported the child to be in good health, mother and father’s BMI, and mother’s age at the child’s birth. The parent who answered the questionnaire reported their own and their partner’s height and weight. Child overall health question was recorded as good, fair, or poor. Family structure measures included whether the parents were married; whether any grandparent was living in the home; and whether the child had siblings living in the home. Family activities measures included which meals (breakfast, lunch, dinner) were eaten with the family, whether the child engaged in active pastimes daily outside of school, whether the child watched television or used a computer or video games daily; and whether the child came home for lunch on schooldays—in Spain all schools and many employers provide a 2 to 3-h lunch recess so families can eat at home together if they wish. Socio-economic measures included monthly household income, whether the mother and father were employed, whether the mother had completed more than primary education, whether at least one parent was born in another country. Immigrants tend to have higher BMIs with increasing stay in a new destination country . We also considered whether the child had attended day care before age 3, which has been associated with differences in weight status .
After diagnostic tests of distributions and multicollinearity, prevalence of underweight, normal weight, overweight, and obesity were calculated. We calculated the distribution of each characteristic among children experiencing underweight, normal-weight, overweight or obesity, testing for significant differences using t-tests. We then estimated multinomial logistic regression, with the outcome categories being underweight, normal weight (reference), overweight, and obesity. STATA 11.1 was used for all analyses with significance based upon 95% confidence intervals.
More than half of children ages 5–10 years old had unhealthy weight (54%): 14% underweight, 24% overweight, and 17% obesity (Table 1). Boys were more often in unhealthy weight categories: 61% of boys were of unhealthy weight (14% with underweight, 25% with overweight and 22% with obesity) compared with 47% of girls (13% with underweight, 23% with overweight and 12% with obesity); the difference was largely driven by the higher prevalence of obesity among boys.
Children were on average 8 years old. Almost 90% of children have married parents, 71% have at least one sibling, and 8% live with at least one grandparent. Fourteen percent of children had at least one foreign-born parent. Sixty-four percent had attended day-care before the age of 3 years. Thirteen percent ate all three meals at home daily, about half did some physical activity every day, and 20% had screen time daily. A quarter of mothers had no more than primary education and over a quarter of mothers (37%) and 10% of fathers were not working at the time of the interview, consistent with the high unemployment levels in Spain at the time.
The average mother had normal weight (BMI = 23.6), while the average father was slightly overweight (BMI = 26.3). Only 27% of children had two parents with normal weight, 5% had at least one underweight parent (in 80% of cases the mother), and 25% had at least one parent with obesity (in 70% of cases, the father).
Children experiencing overweight or obesity were more often boys (Table 2); they more often had parents with overweight or obesity and mothers with only primary education; they less frequently had attended daycare before the first 3 years of life.
Children with underweight less often had an unemployed father compared to normal weight, children with overweight and children with obesity. They more often ate all 3 meals at home with family and less frequently engaged in daily physical activity.
Table 3 shows the results of multivariate multinomial logistic regression models, estimating the odds of being in an unhealthy weight category (underweight, overweight, and obesity) rather than normal weight.
Column 1 presents the odds of being in the underweight rather than the normal weight category. Boys had 72% higher odds of being underweight compared with girls. Risks of underweight decreased with father’s (0.93) and mother’s BMI (0.92). Children who were physically active daily were less likely to have underweight rather than normal weight (0.61), as were children with working parents (mother: 0.61; father: 0.29) and those who had attended daycare before the age of 3 years (0.60).
Column 2 shows the odds of overweight compared to normal weight. Boys were 65% more likely to have overweight than normal weight compared with girls; children who were physically active were less likely to have overweight than normal-weight (0.69).
Column 3 reports the odds of obesity compared to normal weight. Boys’ odds of obesity than normal-weight were almost 3 times higher than those of girls. Odds of obesity decreased with child’s age (0.90) but increased with the mother’s age at the child’s birth (1.04). Odds of having obesity rather than normal-weight increased by 8% with each additional BMI point of the father. Children of mothers with only primary education (1.62) and of foreign-born parents (1.73) were more likely to have obesity. Children who had attended day-care before age 3 years were substantially less likely to have obesity than those who had not (0.63).
This study examined the weight status of school-aged children ages 5–10 years in Spain using a national family survey. Less than half (46%) of children had healthy weight, with underweight, overweight and obesity contributing to this high level of unhealthy weight. Findings are consistent with documented increases in overweight and obesity in Europe [8, 40]. Findings also highlight high levels of underweight, perhaps associated with the increase in food insecurity associated with the economic crisis of the last decade (> 1 SD below the mean), normal weight, overweight (1 to < 2 SD above the mean), and obesity (> 2 SD above the mean)  and that still persists 10 years later .
The most consistent correlates of unhealthy weight among school-aged children were gender, parents’ BMI, daycare attendance, and socioeconomic status. Most notably, boys were more likely than girls to have underweight or obesity. The risk of both underweight and obesity increased with their parents’ weight, consistent with previous findings from Spain . The school environment from a young age in Spain may be beneficial, consistent with another study from Spain reporting that children who ate lunch at school had lower chances of obesity . Spanish schools typically have a 2-h lunch break consisting of a 30-min lunch followed by over an hour of recess.
The characteristics that were associated with lower risks of underweight but not with lower risks of obesity were limited physical activity and parents’ unemployment. Characteristics associated with lower risks of obesity but not with risks of underweight were being younger, having an older or less educated mother, and having a foreign-born parent, highlighting the importance of the family structure in the study of weight differences.
This study was limited by cross-sectional and parent-reported data. Parent reports of children’s height and weight are more easily collected than direct measures in large-scale studies, but self-reported and parent-reported data have been shown to be systematically biased , warranting caution in the interpretation of results. Yet, parents’ weight estimation is more accurate than other weight estimation methods .
This study evaluated the overarching concerns of unhealthy weight among children in Spain, rather than focusing solely on obesity . The contextual data explored here provided a more detailed understanding of the family contexts of unhealthy weight than is possible with other European data . Spain’s economic growth has taken over a decade to return to pre-2008 levels , and the patterns of unhealthy weight documented here in 2010 may be linked with financial distress [7, 32].
Our findings suggest that obesity was coupled with underweight among children in Spain. That underweight and obesity were largely predicted by the same characteristics is an important consideration, highlighting that both types of malnutrition may be tied with family resources. The coexistence of underweight and obesity in a western setting is an important consideration for policies; ensuring healthy activity patterns and nutritious calories for children are strategies that may address both types of malnutrition. Further research should consider if these patterns persist in times of economic wellbeing or whether obesity and underweight are explained by different sets of characteristics under different economic circumstances.
Lim S, Vos T, Flaxman A, Danaei G, Shibuya K, Adair-Rohani H, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2224–60.
Black R, Victora C, Walker S, Bhutta Z, Christian P, De Onis M, et al. Maternal and child undernutrition and overweight in low-income and middle-income countries. Lancet. 2013;382:427–51.
Popkin BM. The nutrition transition: an overview of world patterns of change. Nutr Rev. 2004;62:S140–3.
Must A, Anderson SE. Effects of obesity on morbidity in children and adolescents. Nutr Clin Care. 2003;6(1):4–12.
World Health Organisation. Childhood obesity surveillance initiative: highlights 2015–2017 preliminary data. Copenhagen: WHO; 2018.
Ayllón S. Growing up in poverty: children and the great recession in Spain. In: Cantillon B, Chzhen Y, Handa S, Nolan B, editors. Children of austerity the impact of great recession on child poverty in rich countries. Oxford: UNICEF, Oxford University Press; 2017. p. 219–42.
Chzhen Y. Child poverty and material deprivation in the European Union during the great recession. 2014.
Wijnhoven TM, van Raaij JM, Breda J. WHO European Childhood Obesity Surveillance Initiative: implementation of round 1 (2007/2008) and round 2 (2009/2010). 2014.
Grammatikopoulou MG, Poulimeneas D, Gounitsioti IS, Gerothanasi K, Tsigga M, Kiranas E, et al. Prevalence of simple and abdominal obesity in Greek adolescents: the ADONUT study. Clin Obesity. 2014;4(6):303–8.
Jones R, Saksena R, Breda J, Jewell J. Surveillance of overweight including obesity in children under 5: opportunities and challenges for the European region. Front Nutr. 2017;5:58.
Smetanina N, Albaviciute E, Babinska V, Karinauskiene L, Albertsson-Wiklund K, Petrauskiene A, et al. Prevalence of overweight/obesity in relation to dietary habits and lifestyle among 7–17 years old children and adolescents in Lithuania. BMC Public Health. 2015;15:1001.
Branca F, Nikogosian H, Lobstein T. The challenge of obesity in the WHO European Region and the strategies for response: summary. Geneva: Organization WH; 2007.
Nair M, Webster P, Ariana P. Impact of non-health policies on infant mortality through the social determinants pathway. Bull World Health Organ. 2011;89:778.
Birch LL, Davison KK. Family environmental factors influencing the developing behavioral controls of food intake and childhood overweight. Pediatric Clin N Am. 2001;48:893–907.
Patrick H, Nicklas TA. A review of family and social determinants of children’s eating patterns and diet quality. J Am Coll Nutr. 2005;24(2):83–92.
Higgins MM, Murray BJ. Nutrition-related practices and attitudes of Kansas skipped-generation(s) caregivers and their grandchildren. Nutrients. 2010;2(12):1188–211.
Jingxiong J, Rosenqvist U, Huishan W, Greiner T, Guangli L, Sarkadi A. Influence of grandparents on eating behaviors of young children in Chinese three-generation families. Appetite. 2007;48(3):377–83.
Chen AY, Escarce JJ. Family structure and childhood obesity, early childhood longitudinal study-Kindergarten Cohort. Prev Chronic Dis. 2010;7(3):A50.
Júlíusson PB, Eide GE, Roelants M, Waaler PE, Hauspie R, Bjerknes R. Overweight and obesity in Norweigian children: prevalence and socio-demographic risk factors. Act Paediatr. 2010;99(6):900–5.
Timperio A, Salmon J, Ball K, Baur LA, Telford A, Jackson M, et al. Family physical activity and sedentary environments and weight change in children. Int J Pediatr Obes. 2009;3(3):160–7.
Wu FL, Yu S, Wei IL, Yin TJ. Weight-control behavior among obese children: association with family-related factors. J Nurs Res. 2003;11(1):19–30.
Kaplan M, Kiernan NE, James L. Intergenerational family conversations and decision making about eating healthfully. J Nutr Educ Behav. 2006;38(5):298–306.
Santiago S, Zazpe I, Cuervo M, Martínez JA. Perinatal and parental determinants of childhood overweight in 6–12 years old children. Nutr Hosp. 2012;27(2):599–605.
Singh GK, Kogan MD, Yu SM. Disparities in obesity and overweight prevalence among US immigrant children and adolescents by generational status. J Community Health. 2009;34(4):271–81.
Liu J, Probst JC, Harun N, Bennett BJ, Torres ME. Acculturation, physical activity, and obesity among Hispanic adolescents. Ethn Health. 2009;14:509–25.
Celi F, Bini V, De Giorgi G, Molinari D, Faraoni F, Di Stefano G, et al. Epidemiology of overweight and obesity among school children and adolescents in three provinces of central Italy, 1993–2001: study of potential influencing variables. Eur J Clin Nutr. 2003;57(9):1045–51.
Stamatakis E, Wardle J, Cole TJ. Childhood obesity and overweight prevalence trends in England: evidence for growing socioeconomic disparities. Int J Obes (Lond). 2010;34(1):41–7.
Moreno LA, Mesana MI, Fleta J, Ruiz JR, González-Gross M, Sarría A, et al. Overweight, obesity and body fat composition in spanish adolescents. The AVENA Study. Ann Nutr Metab. 2005;49(2):71–6.
Labree LJ, van de Mheen H, Rutteen FF, Foets M. Differences in overweight and obesity among children from migrant and native origina: a systematic review of the European literature. Obes Rev. 2011;12(5):e535–47.
Toschke AM, Thorsteinsdottir K, Kries R. Meal frequency, breakfast consumption and childhood obesity. Int J Pediatr Obesity. 2009;2009(21):1–7.
Martínez Álvarez JR, García Alcón R, Villarino Marín A, Serrano Morago L, Marrodán Serrano MD. Encuesta nacional sobre comedores escolares y demanda de dietas especiales. Nutr Hosp. 2012;27(1):252–5.
Conklin AL, Forouchi NG, Suhrcke M, Surtees P, Wareham NJ, Monsivais P. Socioeconomic status, financial hardship and measured obesity in older adults: a cross-sectional study of the EPIC-Norfolk cohort. BMC Public Health. 2013;13:1039.
Moreno LA, Marí-Klose P. Youth, family change and welfare arrangements: is the South still so different? Eur Soc. 2013;15(4):493–513.
Gundersen DA, ZuWallack RS, Dayton J, Echeverría SE, Delnevo CD. Assessing the feasbility and sample quality of a national random-digit dialing cellular phone survey of young adults. Am J Epidemiol. 2014;179(1):39–47.
Harris KM, Florey F, Tabor J, Bearman PS, Jones J, Udry JR. The National Longitudinal Study of Adolescent Health: Research Design. 2005.
U.S. Department of Education, National Center for Education Statistics. User’s manual for the ECLS-K base year public-use data files and electronic codebook: NCES 2001-029 (revised). Washington, D.C.: U.S. Department of Education, National Center for Education Statistics; 2004.
McLanahan S. The fragile families and child wellbeign study. Cham: Springer; 2008.
Arias Díaz J, de Sola Perea L, Martín-Arribas MC. Ethics assessment in different countries: Spain. 2015.
De Onis M, Onyango A, Borghi E, Siyam A, Nishida C, Siekmann J. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85(9):660–7.
Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384(9945):766–81.
Loopstra R, Reeves A, Stuckler D. Rising food insecurity in Europe. Lancet. 2015;385(9982):2041.
Bogaert N, Steinbeck KS, Baur LA, Brock K, Bermingham MA. Food, activity and family—environmental vs biochemical predictors of weight gain in children. Eur J Clin Nutr. 2003;57(10):1242–9.
Krieser D, Nguyen K, Kerr D, Jolley D, Clooney M, Kelly AM. Parental weight estimation of their child’s weight is more accurate than other weight estimation methods for determining children’s weight in an emergency department. Emerg Med J. 2007;24(11):756–9.
Buck T. Spain: boom to bust and back again: financial times; 2017. https://www.ft.com/content/254bb8a8-1940-11e7-a53d-df09f373be87. Accessed Jan 2018.
EV contributed to conceptualizing the study and participated in analysis and drafting of the manuscript. RJ finalized the analysis and manuscript. PMK and MMK conceptualized the study and led data collection and management. SAC led analysis and drafted the manuscript. All authors read and approved the final manuscript.
We gratefully acknowledge the participants who accepted to take part in this study.
The authors declare that they have no competing interests.
Availability of data and materials
The datasets used during the current study are available from Pau Marí-Klose and Marga Marí-Klose on reasonable request.
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Ethics approval and consent to participate
Verbal informed consent was obtained from each participant and the study was conducted in accordance with Declaration of Helsinki and the Spanish Organic Law 15/1999 of 13 December on the Protection of Personal Data (LOPD). Researchers had only access to de-identified data, guaranteeing participants’ anonymity.
Analysis of data was exempted from review by the Institutional Review board at the University of South Florida as outlined in the federal regulations at 45CFR46.101(b) .
Ethical committee approval
Not applicable for sociological data in Spain.
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Encuesta de Relaciones Inter e Intrageneracionales en la Infancia 2010. Questionnaire for Children 5–10 years. This is the full questionnaire for families with children 5–10 used for data collection in Spanish.
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Vaquera, E., Jones, R., Marí-Klose, P. et al. Unhealthy weight among children in Spain and the role of the home environment. BMC Res Notes 11, 591 (2018). https://doi.org/10.1186/s13104-018-3665-2