Distorted perception of weight is a worldwide problem of adolescents, especially among girlsReference Middleman, Vazquez and Durant1–Reference Kaneko, Kiriike, Ikenaga, Miyawaki and Yamagami3. Adolescent girls are often dissatisfied with their body image, which puts them at nutritional risk because they frequently engage in dieting even when they have normal weightReference Kaneko, Kiriike, Ikenaga, Miyawaki and Yamagami3–Reference McGuire, Story, Neumark-Sztainer, Halcon, Campbell-Forrester and Blum5. Studies show that peers, parents and health education professionals are influential in the development of children's body image, weight control practices, and weight-related attitudes and behavioursReference Middleman, Vazquez and Durant1, Reference Kaneko, Kiriike, Ikenaga, Miyawaki and Yamagami3, Reference Neumark-Sztainer, Story, Hannan, Perry and Irving6. It is also clear that adolescents demonstrate significant gender and racial differences in weight perceptions and dietary behavioursReference O'Dea and Caputi7. An association was found between increased frequency of exercise, toning and stretching and trying to lose weight among females, while males trying to gain weight reported increased participation in exercise, stretching and toning and team sportsReference Middleman, Vazquez and Durant1. In developed countries, adolescents' perception of themselves as overweight or normal-weight often correlate poorly with medical definitions of overweightReference Strauss2. Dieting behaviour seems to be associated with whether adolescents view themselves as overweight. Normal-weight girls are more prone to consider themselves as overweight than normal-weight boysReference Strauss2, Reference Roberts, McGuiness, Bilton and Maxwell8. However, other family and social factors, such as parental weight, education and socio-economic status (SES), may also influence adolescent weight perceptions and dietingReference Story, French, Resnick and Blum9.
China is undergoing rapid economic growth leading to a nutrition transition. Overweight and obesity among adolescents are becoming a public health concernReference Ji10, Reference Shi, Lien, Kumar, Dalen and Holmboe-Ottesen11. In parallel with this phenomenon, weight consciousness may be increasing among adolescents. The formation of weight perception is complex. Biological, psychological and sociocultural factors are found to be correlated with weight perceptionReference Ricciardelli and McCabe12–Reference Ricciardelli, McCabe and Banfield14. At present, little is known about this topic in China. However, findings from the China Health and Nutrition Survey revealed that some urban girls have lower energy intake than recommended, suggesting the emergence of dieting among urban girlsReference Wang, Popkin and Zhai15. There is thus a need to study lifestyle factors and their association with weight perceptions and nutritional status in China. The objectives of the present paper are to describe perceptions of weight in adolescents and the association with food habits and other lifestyle factors, as well as some sociodemographic and psychosocial factors. The research questions include: To what extent are students concerned about their body weight? What is the relationship between weight perception and actual weight? To what degree is adolescents' weight perception associated with food frequency intake, physical activity and dieting? What are parents' perceptions of their children's weight? Are there sociodemographic differences in the adolescents' perceptions and the resulting behaviour? The results will be used as a basis for health behaviour intervention.
Subjects and methods
Sample, protocol and ethical approval
A cross-sectional study was conducted in urban and rural middle schools in Jiangsu Province, China. The province is divided into 13 prefectures, which in total have 2757 junior schools with 3.25 million students16. The study locations were Zhenjiang, a rich prefecture in the southern region, and Xuzhou, a poor prefecture in the northern region. The gross domestic product of Zhenjiang is 18 852 Yuan/capita/year ($US 2356) and in Xuzhou 7960 Yuan/capita/year ($US 995). In each prefecture, one school was randomly selected from each of four different areas: the capital city of the prefecture, a suburb of the capital city, a county capital and a town. In every school one junior level 1 and one junior level 2 class were selected. Thus, students from 16 classes in total were invited to join the survey. The age range of the study population was 12–14 years, with a few exceptions. Students in special schools for the disabled or private schools were excluded. Written consent was obtained from the presidents of the schools, the teachers, the parents and the students. They were informed that answering the anonymous questionnaire was entirely voluntary and that the information would be treated confidentially.
A self-administered questionnaire was used to collect information on sociodemographic indicators, weight perception and lifestyle. The students filled in the questionnaire in the classroom within a 40 min period in the presence of health workers whom they could ask if they had problems. Instructions on filling in the questionnaire were given by the researcher. Another small limited questionnaire was administered to the parents to obtain among other things information about parents' weight perception and weight norms of their children. The parents' questionnaire was taken home by the students and returned to the school the following day.
The study was a collaboration between the Institute of General Practice and Community Medicine at the University of Oslo and Jiangsu Provincial Center for Disease Control and Prevention. The protocol was approved by both institutions. In addition, ethical clearance was obtained from the Regional Ethical Committee of Norway. Health workers from local centres for disease control and prevention together with the researcher carried out all data collection from September to November 2002. The questionnaire was piloted and adjusted prior to the survey.
Measurements
Height and weight
Students' height without shoes was measured to the nearest 0.1 cm using a Seca stadiometer, and weight in light clothes was measured to the nearest 0.1 kg on a Seca portable electronic scale. Each of these measurements was carried out by at least two trained health workers: one took the measurements, while a second recorded the readings. Weight status was defined according to age- and gender-specific body mass index (BMI, kg m− 2) percentiles of the US National Center for Health Statistics/World Health Organization (WHO) reference: underweight as BMI less than the 5th percentile; normal weight as BMI between the 5th and 85th percentile; overweight between the 85th and 95th percentile; and obesity was defined as BMI greater than the 95th percentileReference Kuczmarski, Ogden, Grummer-Strawn, Flegal, Guo and Wei17.
Weight perceptions and related behaviours
Weight perceptions were assessed by the question ‘What do you think about your own body weight?’ for students, and for the parents by the question ‘What do you think about your child's body weight?’ The response categories were: (1) very underweight; (2) slightly underweight; (3) about the right weight; (4) slightly overweight; (5) very overweight. In the data analysis, these responses were recoded into three categories: underweight, normal and overweight.
Weight desires among the students were assessed by the question ‘Which of the following are you trying to do?’, and among the parents by the question ‘Which of the following do you want your child to do?’ The answer categories were: (1) lose weight; (2) gain weight; (3) maintain the same weight; (4) don't bother about weight.
Dieting was assessed by the question ‘How often have you gone on a diet during the last year?’ The response categories were: (1) never; (2) 1–4 times; (3) 5–10 times; (4) more than 10 times; (5) I am always dieting.
Weight management was measured by ‘During the past 7 days, which of the following actions did you take to lose weight or to keep from gaining weight? (multiple choice)’. The response categories were: (1) dieting; (2) vomiting; (3) diet pills; (4) herbs/teas; (5) increase physical activity; (6) other method, specify; (7) not trying to lose weight.
Vigorous physical activity was assessed by the question ‘How many times per week do you work, play or exercise hard enough to make you sweat and breathe heavily?’ The response categories were: (1) seldom/never; (2) 1–2 times; (3) 3 times or more.
Food and meals frequency questionnaire
We developed a food-frequency questionnaire (FFQ) including 26 food items. Portion sizes were not included. Of the questions, 16 were taken from a validated questionnaire developed by Zhao et al. Reference Zhao, Hasegawa and Chen18 for Chinese adults. In addition, 10 questions on snacks, fast foods and soft drinks were added. These questions were selected on the basis of knowledge from earlier research on adolescents in the province. The diet assessment question was ‘How often do you eat/drink the following foods?’ The response categories were (recoded frequencies in times per week shown in square brackets): (1) more than once a day [10]; (2) once a day [7]; (3) 4–6 times per week [5]; (4) 2–3 times per week [2.5]; (5) once a week [1]; (6) 1–3 times per month [0.5]; (7) seldom/never [0]. The meal pattern assessment question was ‘During an ordinary week, how often do you usually eat the following meals?’ The response categories for the questions were: (1) every day; (2) 4–6 times per week; (3) 1–3 times per week; (4) seldom/never.
Five food-frequency scores were constructed as follows on the basis of selected food items taken from the FFQ.
● Fruit and vegetable score (FVS): includes fruit, vegetables (potato not included) and fruit juice.
● Animal food score (AFS): includes meat from pork, beef, lamb and chicken, as well as liver, fish, shrimps and eggs.
● Western food score (WFS): includes milk, yoghurt, soft drinks and hamburgers.
● Sweet food score (SFS): includes candy, chocolate, ice cream and soft drinks.
● Milk score (MS): includes milk and yoghurt.
The five scores (FVS, AFS, WFS, SFS and MS) were constructed by the sum of the recoded responses (in times per week) for the food items included in each score, divided by the number of items in the score. The one week test–retest reliability of the food scores among 112 participants (comprising a different sample in the same study area) had a Spearman correlation coefficient (r) ranging from 0.60 to 0.82.
Sociodemographic factors
Household SES score based on household possessions
Household SES score was the sum of ownership of a video/compact disc player, television set, personal computer, refrigerator, mobile phone, shower, washing machine, air conditioner, motorcycle, microwave oven and telephone; each item given a value of 1. Three categories were constructed from household SES score: ‘low’, ≤ 4; ‘medium’, 5–8; ‘high’, 9–11.
Educational level of parents
Educational level of the parents was reported by the students and categorised into three levels: ‘low’, illiteracy, primary, junior middle school; ‘medium’, senior middle school; ‘high’, university or higher.
Urban/rural
We defined those who lived in capital cities and in county capitals as ‘urban’, and those who lived in the capital city suburbs, towns and rural villages as ‘rural’.
Data analysis
All statistical analyses were performed using SPSS 11.0 (SPSS Inc.). Statistical significance was set at P < 0.05. Chi-square tests were used to compare frequencies. General linear model (GLM) analysis was used to compare the means of food scores among different weight perception groups. The food scores were adjusted for sociodemographic factors (household SES, urban/rural, south/north, education of father)Reference Shi, Lien, Kumar and Holmboe-Ottesen19 in addition to dieting. The data met the criteria for performing GLM analysis.
Results
Sample characteristics
Of the 855 students in the invited sample, 846 (99%) participated in the study. In the analyses presented in this paper, only students aged 12–14 years are included. Those few students who for some reasons were younger or older than this defined age group were excluded. The final sample thus consists of 824 students aged 12–14 years (amounting to 99% of those participating in this age range), with somewhat more boys than girls (Table 1). The boys had higher mean height, weight and BMI than the girls. The prevalence of overweight and obesity among boys was near 18%. In total, 628 parents completed the questionnaire giving a response rate of 76%. Of the 196 non-responding parents, no difference was found in household SES and education, but 62% were from the south and 73% had male children (P < 0.001). Of the 628 parents' questionnaires, 98, 159 and 372 were filled in by fathers, mothers and both parents, respectively.
SD – standard deviation; BMI – body mass index; SES – socio-economic status.
* Household SES score based on the possession of 11 household amenities; each item given a value of 1.
† Defined on the basis of age- and sex-specific BMI percentiles of the National Center for Health Statistics/World Health Organization reference: less than 5th as ‘underweight’, higher than 85th as ‘overweight’, higher than 95th as ‘obese’.
Weight perception and weight desire
One-third of the girls considered themselves as overweight, and 15.0% considered themselves as underweight. The proportion of boys who perceived themselves as overweight and underweight was 22.7 and 23.9%, respectively (Table 1). The actual prevalences of underweight were 4.9% for boys and 5.6% for girls. About the same percentage of boys and girls perceived themselves as normal-weight (53.4 vs 51.1%). Figure 1 shows the relationship between BMI and weight perception by gender. All the girls who were overweight or obese according to the WHO definition perceived themselves as overweight. In addition, about 30% of the girls with normal weight also perceived themselves as overweight. One-fifth of the overweight or obese boys perceived their weight as normal. Among the adolescents with normal weight, about 12% of the girls and 25% of the boys perceived themselves as underweight.
Within the same BMI groups no differences were observed in weight perception by household SES, education of parents or urban/rural location. However, more boys in the south perceived themselves as underweight than boys in the north (31.6 vs. 16.4%). No significant differences were observed in weight perception between girls from the north and the south (data not shown).
On average, 34% of the students wanted to lose weight, while 18.1% wanted to gain weight. More girls wanted to lose weight than boys (45 vs. 24%) (data not shown). Half of the urban girls wanted to lose weight, compared with 39% of the rural girls (P < 0.05) (data not shown). More than 40% of the girls wanted to lose weight even if they had a normal weight (Table 2). In contrast to the girls, 29.8% of boys wanted to gain weight even if they had a normal weight. Some 45.5% of the girls who were underweight wanted to maintain the same weight or did not bother about weight.
BMI – body mass index.
* Defined on the basis of age- and sex-specific BMI percentiles of the National Center for Health Statistics/World Health Organization reference: less than 5th as ‘underweight’, higher than 85th as ‘overweight’, higher than 95th as ‘obese’.
† Fisher's exact test.
The weight perception of the students was strongly correlated with the desire to change weight (Spearman r = 0.67; P < 0.001), and perceiving oneself as overweight was positively correlated to wanting to lose weight.
Parents' weight perceptions and weight norms
About 22% of the parents regarded their child as underweight even if their child had a normal weight. Of the overweight children, 23% were perceived as having normal weight by their parents. Unlike the children, only 55.2% of the parents wanted the overweight children to lose weight. One-quarter of the parents wanted their normal-weight children to gain weight. Parents' perceptions of children's weight differed by the child's gender. Compared with girls, a higher percentage of normal-weight boys were perceived as underweight (29.5 vs. 15.6%) by their parents and were desired to gain weight (34.6 vs. 16.7%) (Table 3). Urban/rural, south/north, household SES and education were not associated with parents' perceptions and norms of their child's weight (data not shown).
BMI – body mass index.
* Defined on the basis of age- and sex-specific BMI percentiles of the National Center for Health Statistics/World Health Organization reference: less than 5th as ‘underweight’, higher than 85th as ‘overweight’, higher than 95th as ‘obese’.
† P-value for the comparison (chi-square test) between parent's weight perception/weight desire and child's gender within the same BMI category of child.
Dieting and weight control measures
During the last year, 24.2% of the students had been on a diet, 13.6% of them had been on a diet 1–4 times and 6.3% had been on a diet more than 10 times. The girls were more likely to go on a diet than the boys (29.8 vs. 19.1%). Among the 280 (34%) students who wanted to lose weight, 45.4% had been dieting during the past year; among those there were more girls (50.0%) than boys (37.5%). Within the genders, there was no urban/rural, south/north or household SES difference in the prevalence of dieting (data not shown).
Dieting was associated with weight perception, 40.6% of the girls and 31.6% of the boys who perceived themselves as overweight reported to be dieting. About 27% of the girls who reported to have been dieting during the past year perceived their body weight to be normal (Table 4).
VPA – vigorous physical activity.
* Chi-square test.
Among the students who wanted to lose weight, 23.6% had been dieting and 69% adopted exercise as a measure to control weight during the past 7 days. Less than 2% took dieting pills, herbs or tea, or practised vomiting to control weight (data not shown).
The boys who reported dieting had lower AFS (mean (standard deviation, SD): 1.9 (1.1) for dieters, 2.3 (1.4) for non-dieters, P < 0.05), while the girls who went on a diet had lower SFS (mean (SD): 2.0 (1.9) for dieters, 2.7 (2.3) for non-dieters, P < 0.01). There was no difference in the other food scores between dieting and non-dieting adolescents.
Less than half of the adolescents engaged in vigorous physical activity 3 times or more per week. No association was found between weight perception and vigorous physical activity (Table 4).
Association between weight perception and meal pattern and food frequency intake
Table 4 shows that weight perception was associated with infrequent breakfast consumption ( ≤ 3 times/week). In total, 9.5% of the adolescents who perceived themselves as overweight skipped breakfast, compared with less than 5% of adolescents who perceived themselves as normal-weight or underweight.
No association was found between BMI and food scores (data not shown). Table 5 shows the comparison of food scores by weight perception adjusted for sociodemographic factors and dieting. Both boys and girls who perceived themselves as overweight reported a lower frequency of intake of animal foods, Western foods and dairy foods. The SFS was associated with weight perception only among boys. Weight perception was not associated with fruits and vegetables intake in either gender.
SE – standard error.
* General linear model analysis was used to compare the means. The means were adjusted for household socio-economic status, urban/rural, south/north, education of father, age and dieting
† Animal food score: includes meat, beef, lamb, chicken, liver, fish, shrimps and eggs.
‡ Western food score: includes milk, yoghurt, soft drinks and hamburgers.
§ Sweet food score: includes candy, chocolate, ice cream and soft drinks.
¶ Milk score: includes milk and yoghurt.
‖ Fruit and vegetable score: includes fruits, vegetables and juice.
** P-value for the comparison of food score by weight perception adjusted for other factors.
Discussion
Results from a cross-sectional study of weight perception and the association with food habits and other lifestyle factors in a subgroup of adolescents aged 12–14 years from Jiangsu Province are reported. A quite high percentage of the girls perceived themselves as overweight even if they had a normal weight. In contrast to the girls, more boys wanted to gain weight. Parents' weight norms seemed to favour overweight, especially for boys. About one-quarter of the students had been on a diet during the past year. Sociodemographic factors were not associated with weight perception within the same BMI category. Perception of overweight was positively associated with breakfast skipping and dieting, and negatively associated with frequency intake of animal foods, Western foods and milk/yoghurt. The findings reveal that distorted weight perception is common, especially among girls.
It is clear from the results of the current study that a conscious weight perception and weight concerns are present in adolescents aged 12–14 years in China. Both overweight and underweight concerns have public health importance. About 30% thought of themselves as overweight. Similar percentages of boys and girls were satisfied with their body weight. A quite high percentage (about 30%) of the girls perceived themselves as overweight even if they had a normal weight. Of particular concern is that one-fifth of the overweight boys perceived their weight as normal while one-quarter of the normal-weight boys perceived themselves as underweight. About 12% of the normal-weight girls perceived themselves as underweight. Similar results on weight perception have been found in many Western countriesReference Middleman, Vazquez and Durant1, Reference Strauss2, Reference O'Dea and Caputi7, Reference Story, French, Resnick and Blum9.
In Western countries, higher SES is found to be associated with greater weight satisfactionReference Story, French, Resnick and Blum9. We did not find such association in our study. Within the same BMI groups no differences were observed between weight perception and household SES or urban/rural location.
Our results showed that one-third of the students wanted to lose weight. Of particular concern is that more than 40% of the normal-weight girls wanted to lose weight. In contrast to the girls, the boys wanted to gain weight even if they had a normal weight. This gender difference has been reported in many developed countriesReference Kaneko, Kiriike, Ikenaga, Miyawaki and Yamagami3, Reference Neumark-Sztainer, Story, Hannan, Perry and Irving6, Reference O'Dea and Caputi7. The girls were nearly twice as likely as the boys to want to weigh less. Girls in urban areas were more weight-conscious than rural girls. Nearly half of the urban girls wanted to lose weight. This number is comparable to that of adolescent girls in Western countriesReference Middleman, Vazquez and Durant1, Reference Kaneko, Kiriike, Ikenaga, Miyawaki and Yamagami3. The fact that no difference was found in prevalence of dieting between urban and rural girls is surprising, since this has been found in another study on urban/rural differencesReference Wang, Popkin and Zhai15. This necessitates further research on factors governing the relationship between weight perception and dieting in China.
Other studies from the USA have also shown that overweight boys are relatively unconcerned about their physical appearance and not particularly interested in pursuing weight lossReference O'Dea and Caputi7, Reference Steen, Wadden, Foster and Andersen20. In the present study, 20.7% of the boys having BMI higher than the 85th percentile did not want to lose weight. Public health workers should be aware of this fact when designing intervention programmes targeting overweight/obesity.
Parents' weight norms were different from the children's; one-quarter of the parents wanted their normal-weight children to gain weight, 42.5% of the parents wanted their overweight children to maintain weight or they did not bother about their weight. According to tradition, parents think the heavier child is healthier. Being overweight is favoured, especially for boys, as illustrated by the Chinese term panxiaozi (obese boy) used to appraise a boy's chubby appearance. Interestingly, no association was found between parents' weight norms and children's food scores. These results should be of particular concern for health professionals. The fact that no association was found between parents' education and their weight norms might suggest a general need to educate the parents about ‘normal’ weight.
The most common strategies for losing weight were dieting and increasing physical activity. Of the adolescents who viewed themselves as overweight, 39.8% reported to having dieted during the past year. Dieting among adolescents is thus quite common also among Chinese adolescents. Although dieting represents a potential solution to obesity, it may have negative health effectsReference Lowe and Timko21, Reference French and Jeffery22. It is reported that adolescents may have their own understanding and definition of dietingReference Roberts, Maxwell, Bagnall and Bilton23. In our data, dieting boys reported lower animal food score while dieting girls reported lower sweet food scores. For this reason we adjusted for dieting while comparing the means of food scores among different weight perception groups. Further research is needed in this area as in our study we only have self-reported information on dieting instead of the amount of food intake.
About 70% of those who wanted to lose weight adopted physical exercise as a measure to control weight. This is an optimistic aspect as it showed that the students were aware of the relationship between physical activity and weight control. However, the weak association between weight perception and vigorous physical activity (as indicated in Table 4) may show the need to motivate students to increase physical activity by offering activities that fit with their actual weight. Less than 2% took dieting pills, herbs or teas, or practised vomiting. This may imply that the level of awareness of such alternative methods is low in the area at present, but this may change with the process of modernisation.
In Western countries adolescents who are trying to control their weight concentrate on eliminating high-fat foods from their dietsReference Nowak24, Reference French, Perry, Leon and Fulkerson25. Similar results were found in the present study. Both boys and girls having overweight perception had lower frequency intake of animal foods and Western foods. This may suggest that many adolescents seem to be aware of the high content of fat in these foods.
Many studies show that adolescents adopt increasing consumption of fruit and vegetables as one measure of weight controlReference Nowak24, Reference Fulkerson, French and Story26. In our study, however, we did not find an association between weight perception and consumption of fruits/vegetables. One explanation could be that the present fruit and vegetable consumption is high among these adolescents and the variance is small.
When trying to lose weight, adolescents in Western countries often reduce the consumption of sweet foodsReference Middleman, Vazquez and Durant1, Reference Nowak24. Our results that showed boys having an overweight weight perception had lower frequency intake of sweet foods than the others. There was no association between weight perception and sweet food score among girls. Further research is needed.
The prevalence of overweight/obesity in the sample was not high, but the prevalence of obesity was higher among adolescents from urban, high-SES and highly educated fathersReference Shi, Lien, Kumar, Dalen and Holmboe-Ottesen11. This may show the potential for increased obesity in the future if China continues to develop economically and urbanise further. The present findings showed that adolescent girls' weight perception and its related food habits were in favour of preventing obesity. Yet, the prevalence of overweight/obesity (BMI>24 kg m− 2) among adult women above the age of 45 years is high in the province, especially in the urban area where it is above 67%Reference Pan, Yuan, Shi and Dai27. To what extent these girls become obese as adults, and how, are issues of interest. There is a need for further research into the transition of weight perception and its health implication from adolescence to mature age.
The study has some limitations. The FFQ was tested for reliability (a one week test–retest) but not for validity, although many of the questions used had been validated for adults as described elsewhereReference Shi, Lien, Kumar and Holmboe-Ottesen19. Questions on weight perception and physical activity have not been validated in China although the same questions have commonly been used in Western countriesReference O'Dea and Caputi7, Reference Neumark-Sztainer, Story, Toporoff, Himes, Resnick and Blum28. As we focused on sociodemographic differences, the selected sample may not be representative of the general population. The strength of the study is that height and weight of adolescents were measured.
Conclusion
Health workers need to know that distorted perceptions of weight exist among students and their parents in the province. Overweight and underweight concerns among the girls, and the favouring of overweight among the boys and the parents, should be dealt with at the same time. Overweight perception is associated with a lower intake frequency of fatty foods, but is not associated with intake of fruits and vegetables. Dieting and increased physical activity are the main strategies for losing weight and appropriate interventions for the prevention of obesity and overweight should be designed that build on the positive elements of these strategies, which at the same time should be sensitive to the danger of creating eating disorders among the adolescents. Interventions aimed at creating more realistic perceptions of ‘normal’ weight seem to be needed. Interventions should be integrated within the current health education curriculum, and also include a component aimed at parents.
Acknowledgements
Sources of funding: This study was funded by the Norwegian Directorate of Health and Social affairs under the auspices of the Norway–China Health Agreement.
Conflict of interest declaration: None declared.
Authorship responsibilities: Z.S., N.L., B.N.K. and G.H.-O. contributed to the conception and design of the study. Z.S. collected and analysed the data, and all authors contributed to the interpreration of the data. Z.S. drafted the paper and N.L., B.N.K. and G.H.-O. commented upon and revised drafts. All authors gave their approval to the final version submitted for publications.
Acknowledgements: We would like to thank the participating regional centres for disease control and prevention in Jiangsu Province, including Zhenjiang, Xuzhou, Danyang and Tongshan Centres, for their support to the data collection.