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Misperception of weight status in the pacific: preliminary findings in rural and urban 11- to 16-year-olds of New Caledonia

BMC Public Health volume 17, Article number: 25 (2017) Cite this article

Abstract

Background

Adolescent obesity is prevalent in Pacific region ethnic groups (European, Melanesian and Polynesian) living in both urban and rural areas. Although body perception is an important factor of weight gain or loss, little is known about the body self-perceptions of Pacific region adolescents. This study therefore evaluated adolescent perceptions of body weight according to ethnicity (European, Melanesian or Polynesian), socioeconomic status (low, intermediate or high) and living area (rural or urban) in New Caledonia.

Methods

Sociodemographic and anthropomorphic data from 737 adolescents (351 boys and 386 girls) with ages ranging from 11 to 16 years were collected and analysed. The International Obesity Task Force (IOTF) standards were used to define weight status as normal-weight, underweight or overweight/obese. Weight perception was assessed from detailed questionnaires, with adolescents rating their own weight with the following descriptors: ‘about the right weight’, ‘too heavy’, or ‘too light’.

Results

Results showed that only 8.5% of normal-weight adolescents (7% boys and 10% girls) identifying themselves as ‘too heavy’. Normal-weight Melanesian adolescents were less likely than their European counterparts to assess themselves as too heavy (OR = 0.357). However, half the overweight/obese adolescents underestimated their weight status (53% boys and 48% girls). Weight misperception was associated with ethnicity, socioeconomic status and living area, with gender-specific differences.

Conclusions

The results of this study suggest that these sociodemographic factors should be taken into account when designing public health policies and health education school programmes in New Caledonia and, more broadly, the Pacific region.

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Background

Excessive weight is mainly associated with non-communicable diseases like cardiovascular events, type 2 diabetes mellitus and hypertension [1]. When present from very early childhood (juvenile obesity), obesity may cause physiological and psychological disorders in adulthood [2]. A recent study showed an upward trend in global obesity since 1975 and estimated that the prevalence would reach 18% in men and 21% in women by 2025, with severe obesity surpassing 6% in men and 9% in women [3]. In addition, the percentage of overweight adolescents that remain so into adulthood ranges from 22 to 90%, depending on the study [4].

In the Pacific region, globalisation, trade liberalisation and increasing urbanisation have all contributed to a shift in nutrition and physical activity [5]. Traditional diets of root crops, vegetables, fruits, and fresh fish and meat have been steadily replaced by imported and processed energy-dense, low-nutrient foods. Since 2005, these environmental changes have had an increasingly strong impact on younger generations [6], with one result being the high prevalence of overweight and obesity in adolescents today [7]. Adolescents therefore seem particularly exposed to the risk of becoming overweight [8, 9] and its psychological consequences [8, 10]. Yet, high body mass index (BMI) and high body fat mass (BFM) (mean value: 24.24 kg.m−2 ± 2.7 and 17.6% ± 2.4, respectively) were recently observed in young Melanesian athletes living in New Caledonia, suggesting that the Pacific lifestyle and/or genetic factors, even with high levels of physical activity and sport performance, have an impact on weight status [11]. For the most part, the New Caledonian population has an economic status in line with that of Western countries, but half the population nevertheless follows a traditional tribal lifestyle, similar to that of other Melanesians in the Pacific (i.e. Papua New Guinea [12]). In fact, most Melanesian people in rural areas still live in tribal communities that drive physical activity (fishing/cropping/hunting) and food-consumption behaviours (consuming tubers like manioc or ignam, fruits and fish), even when some Westernisation is evident.

Many factors play a role in weight gain or loss, and the self-perception of body mass is an important factor. Self-perception of body mass is defined as the subjective appraisal of one’s own weight status, and an accurate is crucial for the success of overweight prevention programmes. For example, normal-weight teens who perceive themselves as overweight may make unnecessary efforts to lose weight, which, in extreme cases, can lead to eating disorders [13, 14]. On the other hand, overweight adolescents who fail to recognise their excess weight may underestimate the need for a healthier diet and physical activity [15, 16]. Misperceptions are common in populations around the world, although notably in the United States, where 38% of overweight and 8% of obese people perceive themselves as normal weight [17]. Several factors contribute to this misperception, including education level, ethnicity and socioeconomic status [18]. For example, lower socioeconomic and education levels are associated with greater discrepancies between real and perceived body weight [17, 19, 20]. In a New Zealand study, overweight or obese people of Pacific origin were more likely than people of European origin [19] to think that their body size was normal. These findings suggest that weight management interventions should take ethnicity into consideration, and this may be particularly important in New Caledonia, which has a culturally and ethnically diverse population, including people from many of the ethnic communities present in the Pacific (predominantly Melanesian, Polynesian, Asian and European).

Studies in adolescent populations that have examined the frequency of overestimation and underestimation of body size have reported that up to 25% of normal-weight girls and about 5% of normal-weight boys perceive themselves as overweight [20]. Moreover, up to 48% of overweight girls and 61% of overweight boys perceive themselves as normal-weight [16, 20, 21]. However, most of these studies were based on data collected in the United States or Europe and cannot be generalised to other populations, especially to Pacific islanders [11].

Other studies have shown a difference in the prevalence of overweight/obesity in rural compared with urban areas [22], although whether the place of residence (rural versus urban) influences perception of body size is still under debate. While some studies found no difference in body size perception according to place of residence [23], others showed a correlation between place of residence (rural or urban) and misperception of weight status. For example, a recent work showed that Korean girls living in a rural area were less likely to overestimate their weight than those living in an urban area [24].

Given the high prevalence of overweight in Pacific adolescents [7], larger body sizes might be considered as normal in this region, with overweight status having a higher threshold than in other parts of the world: children and adolescents living in environments in which their relatives, parents and schoolmates are overweight or obese may develop misperceptions about what constitutes appropriate weight status [25]. On the other hand, because overweight is a major public health problem in the Pacific region, health information on this topic is frequently and widely communicated by the media and public health agencies. These messages aim to improve adolescents’ overall health literacy, especially regarding obesity, and raise awareness about the dangers of excess weight among those who are overweight/obese. To our knowledge, self-perception of body weight in New Caledonian adolescents is still poorly understood.

This study explored whether place of residence influences body weight perception in adolescents living in New Caledonia. In particular, we investigated the proportion of normal-weight adolescents (11–16 years old) who consider themselves overweight (overestimation) or underweight (underestimation), and those overweight/obese adolescent who consider themselves normal-weight (underestimation), according to their living area.

Methods

Data and participants

Our study was part of a community-based obesity prevention project conducted in selected representative school sites in the three Provinces of New Caledonia. The aim is to prevent obesity by encouraging healthy eating and physical activity. The study was conducted at the schools during classe time.

Sample size was calculated using OpenEpi software for epidemiologic statistics version 3.01, with a confidence (1-α) of 95% and margin of error of ±0.05. Because misperception of body weight varied among weight status categories, anticipated prevalence was assumed to be 50%, as this magnitude yielded the maximum sample size. The minimum sample size calculated was 384. The sample size was then increased by 10–15% to account for missing data.

New Caledonia is divided into three provinces (North Province, South Province and Loyalty Islands Province), all substantially different in terms of ethnic distribution, SES and urbanisation. Five secondary public schools were selected: one in Islands Province (rural area), two in North Province (east and west coasts, rural areas) and two in South Province in the capital, Noumea, which is the only urban zone of New Caledonia. This selection yielded a representative repartition between rural and urban areas, which is 63 and 37% respectively in New Caledonian. The selection criterion was school size (n > 200) to ensure sufficient data in a single field trip. Based on this criterion, only one school was eligible in Islands Province, and four schools were eligible in North Province (two on each coast) and eight in South Province. Schools were then randomly selected and contacted to obtain staff agreement (principal and teacher), including that of the school nurse. Two classes were then randomly selected in each of four grades (levels) by the school’s Principal, for a total of 180 students (8 groups with a mean of 22.5 students per division). As the schools in the urban area were rather large (n > 500), collecting data was more difficult (availability of nurses or rooms, incompatible timetables) and data from only six divisions were finally obtained. In each school, only 90% of the data was obtained due to student absences or parental refusal. Adolescents with missing data or those from too small ethnic groups were then excluded. The proportion of adolescents with missing data or from minor ethnic groups was higher in the urban area (5.5%) than the rural areas (2.5%). Finally, this study included 737 adolescents (11–16 years old).

Anthropometric parameters

All anthropometric data were collected by trained staff in the school nurse’s office. Height was measured to the nearest 0.1 cm using a portable stadiometer (Leicester Tanita HR 001, Tanita Corporation, Tokyo, Japan). Weight was determined to the nearest 0.1 kg using a scale (Tanita HA 503, Tanita Corporation, Tokyo, Japan), with adolescents weighed in light clothing. Body mass index (BMI) was calculated by dividing weight in kilograms by height squared in meters.

The BMI standard deviation score (BMI-SDS) and percentile were calculated by the LMS method using the International Obesity Task Force (IOTF) reference values from Cole et al. [26]. Weight status was defined according to the IOTF criteria [26], which are used to classify BMI values according to age and gender as thin (underweight), normal weight, overweight, or obese, based on adult BMI cutoffs at 18 years. Because the normal-weight category covers a large spectrum of weight from ‘almost thin’ to ‘almost overweight’, for some analyses we divided the ‘normal weight’ category into two categories: BMI-SDS below 0.0 (termed ‘lower normal weight’) and BMI-SDS above 0.0 (termed ‘upper normal weight’), as previously described [27].

Sociodemographic characteristics

The demographic information used in the analyses included age, gender, ethnicity, and socioeconomic status (SES). Ethnicity was self-reported by the adolescents and categorised as recommended in the INSERM report on New Caledonia [28] using an anonymous survey tool. SES was indexed on the basis of the occupation of the household reference person (defined as the householder with the highest income) using the National Statistics Socio-Economic Classification [29]. For the present analyses, we generated three categories: managerial and professional occupations (higher SES), intermediate occupations (intermediate SES), and routine and manual occupations (lower SES).

For the data from the last census in New Caledonia [30], the degree of urbanisation was determined using a European standard [31]. Densely populated areas comprising at least 50,000 inhabitants in a continuous zone with more than 500 inhabitants per km2 were classified as urban. Semi-urban areas were defined as continuous areas with more than 50,000 inhabitants, over 100 inhabitants per km2, and adjacent to an urban area. Rural areas were those that did not fulfil the conditions for an urban or semi-urban area.

Weight perception

The adolescents completed an online survey during school hours about their food and nutrition behaviours, physical activity behaviours and weight self-perceptions. Weight perception was assessed with the question: ‘Given your age and height, would you say that you are about the right weight, too heavy, or too light?’ [27].

Statistics

All analyses were conducted using SPSS Version 22, with a P value < .05 indicating statistical significance. We conducted analyses separately for boys and girls. The gender differences were assessed using t-tests (continuous variables) or chi2 analyses (categorical variables). We used multivariate logistic regressions to identify the factors associated with overestimation or underestimation of weight status. The variables in the models were age, gender, ethnicity, SES residence (urban vs. rural) and weight status (lower vs. upper normal-weight in normal-weight respondents; overweight vs. obese in overweight/obese respondents).

Results

Table 1 shows the overall descriptive data for the whole sample and for boys and girls. The sample included 351 boys and 386 girls from 11 to 16 years old (13.7 ± 1.5 years). The repartition by socioeconomic status indicated that 44.2% participants were in the low SES category, while 30.9% were in the high category and 24.8% in the intermediate category. The majority of adolescents had a BMI that placed them in the normal-weight category; however, 21.2% were overweight and 12.5% were obese. Boys were taller than girls on average, but there were no significant gender differences regarding weight, weight status or other sociodemographic characteristics.

Table 1 Demographic and anthropometric characteristics of the 11- to 16-year-olds in this study, overall and by gender – mean (SD) or % (n)
Full size table

Weight status perception

Figure 1 presents the perception of weight status by gender and actual weight status. Weight status perception errors were frequent, as they concerned 35.2% of the adolescents in our sample (Fig. 1). There was no difference between the rate of misperception between boys and girls (34.2 vs. 36.0%, respectively, P = .619). Of the normal-weight adolescents, 69.5% correctly identified themselves as about the right weight, but 8.2% thought they were too heavy and 22.2% thought they were too light. Of the overweight/obese adolescents, 50.0% felt they were too heavy, but 48.7% thought they were about the right weight and 1.3% felt they were too light. Again, there was no difference between girls and boys for this misperception (P = .571).

Fig. 1
figure 1

The proportion (with 95% CI) of boys and girls who reported feeling ‘too heavy’, ‘about the right weight’, and ‘too light’, by measured weight status

Full size image

Body perception among normal-weight adolescents: overestimation

The factors independently associated with an overestimation of weight status (feeling ‘too heavy’) among normal-weight participants were extracted with a multivariate analysis. Results are shown in Table 2. Melanesian adolescents of normal weight were less likely to self-assess as too heavy compared with their European counterparts (OR = 0.357, P = .033). Low and intermediate SES normal-weight boys were more likely than high SES boys to think that they were too heavy, although this difference was only significant in the intermediate category (low SES boys OR = 5.396, P = .084; intermediate SES boys: OR = 6.431, P = .034). This difference is not found among girls (low SES girls: OR = 1.041, P = .952; intermediate SES girls: OR = 2.031, P = .246).

Table 2 Predictors of size overestimation (feeling ‘too heavy’) among normal-weight adolescents (multivariate analysisc)
Full size table

The odds of overestimation increased significantly with age in boys only (OR = 2.195, P = .004). Last, the boys in the lower-normal BMI category were less likely to feel ‘too heavy’ than their upper-normal BMI counterparts (OR = 0.197, P = .049). This difference was not found among girls (OR = 0.930, P = .886). Place of residence and gender were independently associated with overestimation of body weight.

Body perception among normal-weight adolescents: underestimation

Table 3 shows the multivariable models to examine the factors independently associated with underestimation of body weight in the normal-weight boys and girls (self-identification as ‘too thin’). Underestimation was more likely in the lower normal-weight group (29.0%) than in the upper normal-weight group (13.4%), with significant effects in both genders (boys: odds ratio [OR] = 4.043, P = <.001; girls: OR = 3.306, P = .003). The place of residence increased the risk of misperception but differed greatly by gender. Normal-weight girls in rural areas were significantly more likely than normal-weight girls in urban areas to consider themselves to be ‘too thin’ (24.8% vs. 5.0%, OR = 5.264, P = .021). Among normal-weight boys, those who lived in rural areas tended to perceive themselves as ‘too thin’ less often than those living in cities, but the difference was not significant (OR = 0.603; P = .317). Low and intermediate SES normal-weight adolescents were more likely than high SES adolescents to think that they were too heavy (Low SES: OR = 2.137, P = .033; intermediate SES: OR = 2.122, P = .044). Ethnicity and age were not independently associated with underestimation of weight status.

Table 3 Predictors of size underestimation (feeling ‘too light’) among normal-weight adolescents (multivariate analysisc)
Full size table

Body perception among overweight/obese adolescents: underestimation

Table 4 shows the multivariate models to examine the factors independently associated with underestimation of body weight in the overweight/obese boys and girls (identifying themselves as ‘too thin’ or ‘normal weight’). Among overweight non-obese girls, it was more common for them to believe they were of normal weight than being overweight (OR = 3.774, P = .002). This trend was not significant for boys (OR = 2.169, P = .075). SES played a role for boys because low SES increased the odds of self-perceiving normal weight (OR = 4.113, P = .018), which was not the case for the girls (OR = 1.353, P = .538). The perception of being normal-weight was independent of gender, place of residence or age.

Table 4 Predictors of size underestimation (feeling ‘about the right weight’ or ‘too light’) among overweight/obese adolescents (multivariate analysisc)
Full size table

Discussion

Main findings

This study investigated self-perception of weight status in New Caledonian adolescents of the Pacific region. Misperception of weight status was found in 30.5% of the normal-weight adolescents and 50% of the overweight/obese adolescents, who underestimated their weight. This was particularly the case for overweight boys from low SES. We also observed that normal-weight girls from rural areas were more likely to underestimate their weight status and to consider themselves as ‘too thin’.

These findings show that in New Caledonia, weight underestimation is frequent in overweight and obese adolescents and less frequent in those of normal weight. These findings are consistent with the results of several previous studies of adolescent weight perceptions in Europe and the United States [20, 21, 27].

Comparison with other studies

Normal-weight Melanesian adolescents seemed less likely than their European counterparts to consider themselves ‘too heavy’ (4.3% vs. 13.3%). These results are consistent with those obtained in the United States, where ethnicity influences adolescent self-perceptions of weight status [32]. In this latter study, Martin showed that African-Americans were less likely to overestimate their weight than their European-American counterparts. For overweight and normal-weight adolescents, however, there was no significant difference in underestimation (feeling ‘too light’) of weight status according to ethnicity. A previous study also showed that overestimation of weight status in normal-weight adolescents can lead to unhealthy weight-control practices [13]. Our findings suggest a lower risk of these behaviours in Melanesians compared with European adolescents, but this hypothesis needs further investigation.

It is worth noting that there was no significant difference in our sample between Polynesian and European adolescents concerning overestimation or underestimation. It has been suggested that the high rates of overweight in the Polynesian population could be related to a poor perception of their own weight status, especially during adolescence [11]. Our results indicate that misperceptions of weight status are not more common in adolescents from Polynesian origin than they are in other populations.

The adolescents from the low SES category were more likely to consider themselves ‘too thin’ when they were in the normal-weight, overweight and obese categories. The relationship between socioeconomic status and self-perception of weight status has been demonstrated in several studies [17, 33–36]. The relationship has been explained by differences in the definition of ‘normal’ or ‘ideal’ weight among SES groups [37] and the observation that individuals with high SES tend to be more weight-conscious and to have greater access to health information [38].

The normal-weight girls in rural areas were more likely than those in urban areas to consider themselves too thin (underestimation) (24.8% vs. 5.0%). These findings probably indicate greater societal pressure towards thinness [39, 40] for the girls living in urban areas.

Gender alone had no impact on the misperception of weight status in our study. However, in the subgroups, some effects associated with misperception were gender-dependent. For example, age increased the overestimation of normal weight twofold for boys but not for girls. Normal-weight girls in rural areas were more likely to consider themselves too thin than those living in urban areas, but no significant difference was observed between boys from rural and urban areas. It is well known that some misperceptions are more prevalent in girls compared with boys. In general, girls are more likely than boys to overestimate and less likely to underestimate their body weight [24]. Accurate self-perception of weight status needs a well-calibrataed reference image. For adolescent girls, thinness has become the ideal body type, and this often unrealistic body type is the standard by which many of these adolescents define themselves and others [41]. Given that female bodily attractiveness is associated with an unrealistic thin body type, many adolescent girls feel overweight with a normal weight [42].

During adolescence, the ideal-body image is determined by a variety of environmental, social, physical, and psychological factors. The media have one of the strongest influences on body image today, and they often target those teenagers and peers who help shape beliefs about the ideal body [41]. In New Caledonia, it is likely that the adolescents living in rural areas and Melanesians are less influenced by these stereotypical images of ideal body. The lack of cinemas in the rural areas of New Caledonia, the relative dearth of magazines and generally a more limited access to various media may explain these differences. Recently, Tiggemann and Slater [43] found that weight control increases with time spent on the Internet and social networks (for instance, Facebook) among 13- to 15-year-old girls. In this respect, the situation of young people in New Caledonia varies widely since youth between 15 and 29 years living in urban areas are more likely (88%) to connect to social networks than those in North Province (70%) or Loyalty Islands Province (55%) [44]. We can also hypothesise that the environment in rural areas may have altered the adolescents’ self-perceptions of overweight: a high overweight rate among schoolmates and relatives tends to normalise overweight [25]. Therefore, the perception of being in a normal-weight category may have reflected what they considered an acceptable standard at the time they completed the questionnaire.

One of the strengths of our study was the use of actual height and weight to calculate BMI-based weight status, as several studies have observed that BMI based on self-reported height and weight is underestimated [28, 29]. However, some limitations should be noted. First, we used BMI reference values from Cole et al. to determine weight status in our sample. Yet a recent review and meta-analysis showed a pooled sensitivity of 0.73 and a pooled specificity of 0.93 when a BMI-based reference value was used against body fat mass to detect overweight adolescents [45]. Misclassification of the adolescents may thus have modified the misperception prevalence in this study. To lend support to our results, the self-perception of weight status should be compared against another reference like body fat contents. Another limitation of this study is the small sample size, although it represents 3.2% of the adolescents within the same age range enrolled in school. In particular, only 39 of the adolescents were of Polynesian origin (5.3%), whereas Polynesian adolescents make up 12.2% of the 10- to 19-year-olds in whole population [30].. Similarly, urban adolescents made up 27.7% of the adolescents in this study, whereas they make up 37% of the New Caledonians living in the urban area of Noumea. Last, we investigated adolescents from 11 to 16 years old and we therefore do not know how misperceptions of body weight evolve in older adolescents. Despite these limitations, our results are consistent with several international studies, which suggest that these methodological concerns did not bias the results.

Consequences for public health programmes

The differences in weight status perceptions in New Caledonia between rural and urban populations and among ethnicities are crucial factors for tailoring effective obesity prevention programmes. Self-awareness of being overweight is an important factor in attempting to lose weight [46], and we therefore think that individual weight status should be determined for each adolescent in the schools, with the information given to both the parents and their children. The messages to prevent obesity in adolescents also need to be carefully thought out. For example, among adolescents who think they are overweight when they are not, which was more frequent in European than Melanesian adolescents, the risk is that inappropriate behaviour will be encouraged [47]. Indeed, previous studies have indicated that problems with weight perception among normal-weight teens can lead to unnecessary and sometimes unhealthy types of dieting behaviours [14] and in extreme cases can cause eating disorders [48]. Recently, Van Vliet [49] showed that feeling too fat rather than being too fat increases unhealthy eating habits among adolescents, usually in the direction of reduced food intake. These observations suggest that the focus of public health initiatives should not be limited to weight loss and obesity prevention, but should also take into consideration body image, as noted by Voelker in his recent review [41]. Programmes that promote a healthy body image for both adolescent boys and girls are needed in New Caledonia, but they will need to take into account the specificities of this multi-ethnic population. Multisession interventions focused on media literacy, boosting self-esteem, and building peer support seem to have the most effective results [50].

Individuals with high SES are more weight-conscious [38] and more likely to recognise excess weight, and therefore interventions that aim to address individual weight perceptions should initially target lower SES groups.

Conclusions

This study showed that 50% of the overweight/obese adolescents living in New Caledonia underestimated their weight status. Weight misperception was associated with sociodemographic factors such as place of residence, SES and ethnicity, with some gender-specific differences. Overweight boys from low SES were particularly prone to underestimating their weight status. Normal-weight girls from rural areas were also more likely to underestimate their weight status and consider themselves to be ‘too thin’.

These differences in body weight perception and socio-environmental factors should be taken into account in the implementation of health promotion initiatives targeting children and teens in New Caledonia. In addition, the results suggest that educational components that address risky behaviours to control weight should be added to the prevention programmes for these age groups.

Abbreviations

BFM:

Body fat mass

BMI:

Body mass index

IOTF:

International obesity task force

SES:

Socioeconomic status

References

  1. Must A, Spadano J, Coakley EH, Field AE, Colditz G, Dietz WH. THe disease burden associated with overweight and obesity. JAMA. 1999;282(16):1523–9.

    Article  CAS  PubMed  Google Scholar 

  2. Dietz WH. Health consequences of obesity in youth: childhood predictors of adult disease. Pediatrics. 1998;101(Supplement 2):518–25.

    CAS  PubMed  Google Scholar 

  3. NCD Risk Factor Collaboration (NCD-RisC). Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19 · 2 million participants. Lancet Lond Engl. 2016;387(10026)):1377–96.

    Google Scholar 

  4. Singh AS, Mulder C, Twisk JWR, Van Mechelen W, Chinapaw MJM. Tracking of childhood overweight into adulthood: a systematic review of the literature: tracking of childhood overweight into adulthood. Obes Rev. 2008;9(5):474–88.

    Article  CAS  PubMed  Google Scholar 

  5. Hughes RG, Lawrence MA. Globalization, food and health in Pacific Island countries. Asia Pac J Clin Nutr. 2005;14(4):298–306.

    PubMed  Google Scholar 

  6. WHO. Global status report on noncommunicable diseases 2014. In: Attaining the nine global noncommunicable diseases targets; a shared responsibility. Geneva: World Health Organization; 2014.

    Google Scholar 

  7. Kessaram T, McKenzie J, Girin N, Merilles OEA, Pullar J, Roth A, et al. Overweight, obesity, physical activity and sugar-sweetened beverage consumption in adolescents of Pacific islands: results from the Global School-Based Student Health Survey and the Youth Risk Behavior Surveillance System. BMC Obes [Internet]. 2015 Dec [cited 2015 Dec 12];2(1). Available from: http://www.biomedcentral.com/2052-9538/2/34.

  8. Daniels SR, Arnett DK, Eckel RH, Gidding SS, Hayman LL, Kumanyika S, et al. Overweight in children and adolescents pathophysiology, consequences, prevention, and treatment. Circulation. 2005;111(15):1999–2012.

    Article  PubMed  Google Scholar 

  9. Dietz WH. Periods of risk in childhood for the development of adult obesity — what Do We need to learn? J Nutr. 1997;127(9):1884S–6S.

    CAS  PubMed  Google Scholar 

  10. Russell-Mayhew S, McVey G, Bardick A, Ireland A. Mental Health, Wellness, and Childhood Overweight/Obesity. J Obes [Internet]. 2012 [cited 2015 Dec 15];2012. Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3388583/

  11. Galy O, Zongo P, Chamari K, Chaouachi A, Michalak E, Dellal A, et al. Anthropometric and physiological characteristics of Melanesian futsal players: a first approach to talent identification in Oceania. Biol Sport. 2015;32(2):135–41.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Lindeberg S, Eliasson M, Lindahl B, Ahrén B. Low serum insulin in traditional Pacific Islanders--the Kitava study. Metabolism. 1999;48(10):1216–9.

    Article  CAS  PubMed  Google Scholar 

  13. Talamayan KS, Springer AE, Kelder SH, Gorospe EC, Joye KA. Prevalence of overweight misperception and weight control behaviors among normal weight adolescents in the United States. Sci World J. 2006;6:365–73.

    Article  Google Scholar 

  14. Field AE, Camargo Jr CA, Taylor CB, Berkey CS, Frazier AL, Gillman MW, et al. Overweight, weight concerns, and bulimic behaviors among girls and boys. J Am Acad Child Adolesc Psychiatry. 1999;38(6):754–60.

    Article  CAS  PubMed  Google Scholar 

  15. Yang K, Turk MT, Allison VL, James KA, Chasens E. Body mass index self-perception and weight management behaviors during late adolescence. J Sch Health. 2014;84(10):654–60.

    Article  PubMed  Google Scholar 

  16. Edwards NM, Pettingell S, Borowsky IW. Where perception meets reality: self-perception of weight in overweight adolescents. Pediatrics. 2010;125(3):e452–8.

    Article  PubMed  Google Scholar 

  17. Dorsey RR, Eberhardt MS, Ogden CL. Racial/ethnic differences in weight perception. Obesity. 2009;17(4):790–5.

    Article  PubMed  Google Scholar 

  18. Worthy SL, Lokken K, Pilcher K, Boeka A. Demographic and lifestyle variables associated with obesity. Health Educ J. 2010;69(4):372–80.

    Article  Google Scholar 

  19. Metcalf PA, Scragg RK, Willoughby P, Finau S, Tipene-Leach D. Ethnic differences in perceptions of body size in middle-aged European, Maori and Pacific people living in New Zealand. Int J Obes Relat Metab Disord J Int Assoc Study Obes. 2000;24(5):593–9.

    Article  CAS  Google Scholar 

  20. Viner RM, Haines MM, Taylor SJC, Head J, Booy R, Stansfeld S. Body mass, weight control behaviours, weight perception and emotional well being in a multiethnic sample of early adolescents. Int J Obes. 2006;30(10)):1514–21.

    Article  CAS  Google Scholar 

  21. Hayward J, Millar L, Petersen S, Swinburn B, Lewis AJ. When ignorance is bliss: weight perception, body mass index and quality of life in adolescents. Int J Obes. 2014;38(10):1328–34.

    Article  CAS  Google Scholar 

  22. Bruner MW, Lawson J, Pickett W, Boyce W, Janssen I. Rural Canadian adolescents are more likely to be obese compared with urban adolescents. Int J Pediatr Obes IJPO Off J Int Assoc Study Obes. 2008;3(4):205–11.

    Article  Google Scholar 

  23. Czajka K, Fiszer K, Kołodziej M. The relation between selected health behaviour and body mass index amongst adolescents living in urban and rural areas in south-western Poland. Rocz Państw Zakł Hig. 2013;64(2):135–41.

    PubMed  Google Scholar 

  24. Shin A, Nam CM. Weight perception and its association with socio-demographic and health-related factors among Korean adolescents. BMC Public Health [Internet]. 2015 Dec 24 [cited 2016 Mar 28];15. Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4690271/

  25. Maximova K, McGrath JJ, Barnett T, O’Loughlin J, Paradis G, Lambert M. Do you see what I see? Weight status misperception and exposure to obesity among children and adolescents. Int J Obes. 2008;32(6):1008–15.

    Article  CAS  Google Scholar 

  26. Cole TJ, Lobstein T. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity: extended international BMI cut-offs. Pediatr Obes. 2012;7(4):284–94.

    Article  CAS  PubMed  Google Scholar 

  27. Jackson SE, Johnson F, Croker H, Wardle J. Weight perceptions in a population sample of English adolescents: cause for celebration or concern? Int J Obes. 2015;39(10):1488–93.

    Article  CAS  Google Scholar 

  28. INSERM. Situation sociale et comportements de santé des jeunes en Nouvelle-Calédonie. 2008.

    Google Scholar 

  29. Krieger N. Review of a Researcher’s guide to the national statistics socio-economic classification. J Public Health Policy. 2003;24(3/4):467–73.

    Article  Google Scholar 

  30. ISEE. Structure de la population et évolutions [Internet]. 2014 [cited 2015 Dec 14]. Available from: http://www.isee.nc/population/recensement/structure-de-la-population-et-evolutions.

  31. European Communities. The European Union labour force survey - Methods and definitions - 2001 (Eurostat, Guidelines, Labour statistics, Survey) [Internet]. 2003 [cited 2015 Dec 14]. Available from: http://unstats.un.org/unsd/EconStatKB/KnowledgebaseArticle10230.aspx.

  32. Martin MA, Frisco ML, May ALSEXAND. Race/ethnic differences in inaccurate weight perceptions among u.s. adolescents. Womens Health Issues Off Publ Jacobs Inst Womens Health. 2009;19(5):292–9.

    Article  Google Scholar 

  33. Alwan H, Viswanathan B, Williams J, Paccaud F, Bovet P. Association between weight perception and socioeconomic status among adults in the Seychelles. BMC Public Health. 2010;10:467.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Kuchler F, Variyam JN. Mistakes were made: misperception as a barrier to reducing overweight. Int J Obes Relat Metab Disord J Int Assoc Study Obes. 2003;27(7):856–61.

    Article  CAS  Google Scholar 

  35. Paeratakul S, White MA, Williamson DA, Ryan DH, Bray GA. Sex, race/ethnicity, socioeconomic status, and BMI in relation to self-perception of overweight. Obes Res. 2002;10(5):345–50.

    Article  PubMed  Google Scholar 

  36. Wardle J, Griffith J. Socioeconomic status and weight control practices in British adults. J Epidemiol Community Health. 2001;55(3):185–90.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Sobal J, Stunkard AJ. Socioeconomic status and obesity: a review of the literature. Psychol Bull. 1989;105(2):260–75.

    Article  CAS  PubMed  Google Scholar 

  38. Schieman S, Pudrovska T, Eccles R. Perceptions of body weight among older adults: analyses of the intersection of gender, race, and socioeconomic status. J Gerontol B Psychol Sci Soc Sci. 2007;62(6):S415–23.

    Article  PubMed  Google Scholar 

  39. Garner DM, Garfinkel PE, Schwartz D, Thompson M. Cultural expectations of thinness in women. Psychol Rep. 1980;47(2):483–91.

    Article  CAS  PubMed  Google Scholar 

  40. Strahan EJ, Wilson AE, Cressman KE, Buote VM. Comparing to perfection: how cultural norms for appearance affect social comparisons and self-image. Body Image. 2006;3(3):211–27.

    Article  PubMed  Google Scholar 

  41. Voelker DK, Reel JJ, Greenleaf C. Weight status and body image perceptions in adolescents: current perspectives. Adolesc Health Med Ther. 2015;6:149–58.

    PubMed  PubMed Central  Google Scholar 

  42. Pesa JA, Syre TR, Jones E. Psychosocial differences associated with body weight among female adolescents: the importance of body image. J Adolesc Health Off Publ Soc Adolesc Med. 2000;26(5):330–7.

    Article  CAS  Google Scholar 

  43. Tiggemann M, Slater A. NetGirls: the internet, facebook, and body image concern in adolescent girls. Int J Eat Disord. 2013;46(6):630–3.

    Article  PubMed  Google Scholar 

  44. Observatoire numérique de Nouvelle Calédonie. Usages, attitudes et attentes numériques des 15–29 ans en Nouvelle-Calédonie [Internet]. 2014 Aug [cited 2015 Dec 16]. Available from: http://www.observatoire-numerique.nc/sites/default/files/pdf/publications/etude_jeunestic.pdf.

  45. Javed A, Jumean M, Murad MH, Okorodudu D, Kumar S, Somers VK, et al. Diagnostic performance of body mass index to identify obesity as defined by body adiposity in children and adolescents: a systematic review and meta-analysis. Pediatr Obes. 2015;10(3)):234–44.

    Article  CAS  PubMed  Google Scholar 

  46. Lemon SC, Rosal MC, Zapka J, Borg A, Andersen V. Contributions of weight perceptions to weight loss attempts: differences by body mass index and gender. Body Image. 2009;6(2):90–6.

    Article  PubMed  PubMed Central  Google Scholar 

  47. O’Dea JA. Prevention of child obesity: “first, do no harm.”. Health Educ Res. 2004;20(2):259–65.

    Article  PubMed  Google Scholar 

  48. Hill AJ. Causes and consequences of dieting and anorexia. Proc Nutr Soc. 1993;52(1):211–8.

    Article  CAS  PubMed  Google Scholar 

  49. van Vliet JS, Gustafsson PA, Nelson N. Feeling “too fat” rather than being “too fat” increases unhealthy eating habits among adolescents - even in boys. Food Nutr Res. 2016;60:29530.

    Article  PubMed  Google Scholar 

  50. Yager Z, Diedrichs PC, Ricciardelli LA, Halliwell E. What works in secondary schools? a systematic review of classroom-based body image programs. Body Image. 2013;10(3):271–81.

    Article  PubMed  Google Scholar 

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Acknowledgements

We would like to thank the school teaching teams and administrative staffs for their help and support in our investigations, especially the Vice-Rectorat of New Caledonia.

Funding

No funding.

Availability of data and materials

The datasets collected and/or analysed during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

Conceived and designed the experiment: SF, OG.

Performed the experiments: SF, YC, SC, YL, AT, PZ, KY, CC,OG.

Analysed the data: SF, GW.

Contributed materials/analytical tools: SF,KY,OG.

Wrote the manuscript: SF, YC, SC, YL, KY, CC, OG. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

All parents gave informed written consent before the adolescents participated in the protocol, which was in accordance with legal requirements and the Declaration of Helsinki and approved by the Ethics Committee of the University of New Caledonia, Noumea, New Caledonia.

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Authors and Affiliations

  1. Interdisciplinary Laboratory for Research in Education, School of Education, University of New Caledonia, Noumea, New Caledonia

    Stéphane Frayon, Sophie Cherrier, Yolande Cavaloc, Guillaume Wattelez, Amandine Touitou, Yannick Lerrant & Olivier Galy

  2. Laboratory ACTES, EA 3596, UFR STAPS Antilles, Pointe à Pitre, French West Indies, Guadeloupe

    Paul Zongo

  3. School of Information Technologies, University of Sydney, Sydney, Australia

    Kalina Yacef

  4. Faculty of Health Sciences and Charles Perkins Centre, University of Sydney, Sydney, Australia

    Corinne Caillaud

Authors
  1. Stéphane Frayon
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  2. Sophie Cherrier
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  3. Yolande Cavaloc
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  5. Amandine Touitou
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  9. Yannick Lerrant
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  10. Olivier Galy
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Corresponding author

Correspondence to Stéphane Frayon.

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Frayon, S., Cherrier, S., Cavaloc, Y. et al. Misperception of weight status in the pacific: preliminary findings in rural and urban 11- to 16-year-olds of New Caledonia. BMC Public Health 17, 25 (2017). https://doi.org/10.1186/s12889-016-3982-0

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BMC Public Health

ISSN: 1471-2458

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