期刊论文详细信息
BMC Public Health
Self-reporting and measurement of body mass index in adolescents: refusals and validity, and the possible role of socioeconomic and health-related factors
Bruno Falissard3  Stéphane Legleye1  Michèle Baumann5  Aurélie Mayet2  Kénora Chau4  Nearkasen Chau2 
[1] Institut national des études démographiques, Paris, France;Univ Paris-Sud, Univ Paris Descartes, UMR-S0669 Paris, France;Assistance Publique-Hôpitaux de Paris, Villejuif, Paris F-94804, France;Faculté de médecine, Université de Lorraine, Vandoeuvre-lès-Nancy, Paris, France;University of Luxembourg, INtegrative research unit on Social and Individual DEvelopment (INSIDE), Walferdange, Luxembourg
关键词: Behaviours;    Heath;    Socioeconomic factors;    Discrepancy;    Validity;    Measurement;    Self-reporting;    Body mass index;   
Others  :  1161826
DOI  :  10.1186/1471-2458-13-815
 received in 2012-09-05, accepted in 2013-08-30,  发布年份 2013
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【 摘 要 】

Background

Body mass index assessment using self-reported height and weight (BMIsr) can encounter refusals and under/over-reporting while for assessment with measured data (BMIm) refusals can be more frequent. This could relate to socioeconomic and health-related factors. We explored these issues by investigating numerous potential factors: gender, age, family structure, father’s occupation, income, physical/sports activity, subjective weight perception, school performance, unhealthy behaviours, physical/psychological health, social relationships, living environment, having sustained violence, sexual abuse, and involvement in violence.

Methods

The sample included 1559 adolescents from middle schools in north-eastern France. They completed a questionnaire including socioeconomic and health-related data, self-reported height/weight, measured height/weight, and weight perception (participation rate 94%). Data were analysed using logistic regression models.

Results

BMIsr encountered under-reporting (with change in BMI category, 11.8%), over-reporting (6.0%), and reporting refusals (3.6%). BMIm encountered more numerous refusals (7.9%). Reporting refusal was related to living with a single parent, low school performance, lack of physical/sports activity, sustained violence, poor psychological health, and poor social relationships (gender/age-adjusted odds ratios 1.95 to 2.91). Further to these factors, measurement refusal was related to older age, having divorced/separated parents, a father being a manual worker/inactive, insufficient family income, tobacco/cannabis use, involvement in violence, poor physical health, and poor living environment (1.30 to 3.68). Under-reporting was related to male gender, involvement in violence, poor psychological health, and overweight/obesity (as assessed with BMIm) (1.52 to 11). Over-reporting was related to male gender, younger age, alcohol consumption, and underweight (1.30 to 5.35). Weight perception was linked to reporting refusals and under/over-reporting, but slightly linked to measurement refusal. The contributions of socioeconomic and health-related factors to the associations of weight perception with reporting refusal and under/over-reporting ranged from −82% to 44%. There were substantial discrepancies in the associations between socioeconomic/health-related factors and overweight/obesity assessed with BMIsr and BMIm.

Conclusions

BMIsr and BMIm were affected by numerous biases related to vulnerability which were also obesity risk factors. BMIsr encountered under/over-reporting which were related to some socioeconomic and health-related factors, weight perception, and BMIm. BMIm was more affected by refusals than BMIsr due to socioeconomic and health-related factors. Further research is needed.

【 授权许可】

   
2013 Chau et al.; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]World Health Organization: Global strategy on diet, physical activity and health. Obesity and overweight. Access 6 December 2011. http://www.who.int/mediacentre/factsheets/fs311/en/ webcite
  • [2]Dave D, Rashad I: Overweight status, self-perception, and suicidal behaviors among adolescents. Soc Sci Med 2009, 68:1685-1691.
  • [3]Chou SY, Rashad I, Grossman M: Fast-food restaurant advertising on television and its influence on childhood obesity. NBER Working Paper 11879; 2005. http://aeaweb.org/annual_mtg_papers/2007/0106_1015_2004.pdf webcite
  • [4]Hayes AJ, Clarke PM, Lung TWC: Change in bias in self-reported body mass index in Australia between 1995 and 2008 and the evaluation of correction equations. Popul Health Metr 2011, 9:53. BioMed Central Full Text
  • [5]Barlow SE, Dietz WH: Obesity evaluation and treatment: expert committee recommendations. The Maternal and Child Health Bureau, Health Resources and Services Administration, and the Department of Health and Human Services. Pediatrics 1998, 102:E29.
  • [6]Krebs NF, Himes JH, Jacobson D, Nicklas TA, Guilday P, Styne D: Assessment of child and adolescent overweight and obesity. Pediatrics 2007, 120(suppl 4):S193-S228.
  • [7]Sherry B, Jefferds ME, Grummer-Strawn LM: Accuracy of adolescent self-report of height and weight in assessing overweight status: a literature review. Arch Pediatr Adolesc Med 2007, 161:1154-1161.
  • [8]Keith SW, Fontaine KR, Pajewski NM, Mehta T, Allison DB: Use of self-reported height and weight biases the body mass index-mortality association. Int J Obes 2011, 35:401-408.
  • [9]Gorber SC, Tremblay M, Moher D, Gorber B: A comparison of direct vs. self-report measures for assessing height, weight and body mass index: a systematic review. Obes Rev 2007, 8:307-326.
  • [10]Brettschneider AK, Rosario AS, Ellert U: Validity and predictors of BMI derived from self-reported height and weight among 11- to 17-year-old German adolescents from the KiGGS study. BMC Res Notes 2011, 4:414. BioMed Central Full Text
  • [11]Brener ND, McManus T, Galuska DA, Lowry R, Wechsler H: Reliability and validity of self-reported height and weight among high school students. J Adolesc Health 2003, 32:281-287.
  • [12]Rasmussen F, Eriksson M, Nordquist T: Bias in height and weight reported by Swedish adolescents and relations to body dissatisfaction: the COMPASS study. Eur J Clin Nutr 2007, 61:870-876.
  • [13]Crawley HF, Portides G: Self-reported versus measured height, weight and body mass index amongst 16–17 year old British teenagers. Int J Obes Relat Metab Disord 1995, 19:579-584.
  • [14]Elgar FJ, Roberts C, Tudor-Smith C, Moore L: Validity of self-reported height and weight and predictors of bias in adolescents. J Adolesc Health 2005, 37:371-375.
  • [15]Himes JH: Challenges of accurately measuring and using BMI and other indicators of obesity in children. Pediatrics 2009, 124:S3.
  • [16]Gil J, Mora T: The determinants of misreporting weight and height: the role of social norms. Econ Hum Biol 2011, 9:78-91.
  • [17]Rowland ML: Self-reported weight and height. Am J Clin Nutr 1990, 52:1125-1133.
  • [18]Strauss RS: Comparison of measured and self-reported weight and height in a cross-sectional sample of young adolescents. Int J Obes Relat Metab Disord 1999, 23:904-908.
  • [19]Himes JH, Faricy A: Validity and reliability of self-reported stature and weight of US adolescents. Am J Hum Biol 2001, 13:255-260.
  • [20]Davis H, Gergen PJ: The weights and heights of Mexican-American adolescents: the accuracy of self-reports. Am J Public Health 1994, 84:459-462.
  • [21]Goodman E, Hinden BR, Khandelwal S: Accuracy of teen and parental reports of obesity and body mass index. Pediatrics 2000, 106:52-58.
  • [22]Senese LC, Almeida ND, Fath AK, Smith BT, Loucks EB: Associations between childhood socioeconomic position and adulthood obesity. Epidemiol Rev 2009, 31:21-51.
  • [23]Legleye S, Janssen E, Beck F, Chau N, Khlat M: Social gradient in initiation and transition to daily use of tobacco and cannabis during adolescence: a retrospective cohort study. Addiction 2011, 106:1520-1531.
  • [24]Mayet A, Legleye S, Chau N, Falissard B: Transitions between tobacco and cannabis uses among adolescents and social disparities: a multi-state modelling of progression from onsets to daily uses. Addict Behav 2011, 36:1101-1105.
  • [25]Swanh MH, Bossarte RM, Choquet M, Hassler C, Falissard B, Chau N: Early substance use initiation and suicidal ideation and attempts among students in France and the U.S. Int J Public Health 2012, 57:95-105.
  • [26]Hibell B, Andersson B, Bjarnason T, Ahlström S, Balakireva O, Kokkevi A, Morgan M: The Espad Report 2003. Alcohol and other drug use among students in 35 European Countries. Stockholm: The Swedish council for information on alcohol and other drugs (CAN); 2004.
  • [27]Kalmijn S, Van Boxtel MPJ, Verschuren MWM, Jolles J, Launer LJ: Cigarette smoking and alcohol consumption in relation to cognitive performance in middle age. Am J Epidemiol 2002, 156:936-944.
  • [28]Kim JS, Lee K: The relationship of weight-related attitudes with suicidal behaviors in Korean adolescents. Obesity 2010, 18:2145-2151.
  • [29]Crow S, Eisenberg ME, Story M, Neumark-Sztainer D: Suicidal behavior in adolescents: relationship to weight status, weight control behaviors, and body dissatisfaction. Int J Eat Disord 2008, 41:82-87.
  • [30]Eaton DK, Lowry R, Brener ND, Galuska DA, Crosby AE: Associations of body mass index and perceived weight with suicide ideation and suicide attempts among US high school students. Arch Pediatr Adolesc Med 2005, 159:513-519.
  • [31]Ansari WE, Clausen SV, Mabhala A, Stock C: How do i look? body image perceptions among university students from England and Denmark. Int J Environ Res Public Health 2010, 7:583-595.
  • [32]Skevington SM, Lotfy M, O' Connell KA: The World Health Organization's WHOQOL-BREF quality of life assessment: psychometric properties and results of the international field trial. A report from the WHOQOL group. Qual Life Res 2004, 13:299-310.
  • [33]Leplège A, Réveillère C, Ecosse E, Caria A, Rivière H: Propriétés psychométriques d’un nouvel instrument d’évaluation de la qualité de vie, le WHOQOL-26, à partir d’une population de malades neuromusculaires. Encéphale 2000, 26:13-22.
  • [34]Messer LC, Laraia BA, Kaufman JS, Eyster J, Holzman C, Culhane J, Elo I, Burke JG, O'Campo P: The development of a standardized neighborhood deprivation index. J Urban Health 2006, 83:1041-1062.
  • [35]Baumann M, Spitz E, Guillemin F, Ravaud JF, Choquet M, Falissard B, Chau N: Associations of social and material deprivation with tobacco, alcohol, and psychotropic drug use, and gender differentials: a population-based study. Int J Health Geogr 2007, 6:50. BioMed Central Full Text
  • [36]Chau K, Kabuth B, Baumann M, Chau N: School difficulties in immigrant adolescent students and roles of socioeconomic factors, unhealthy behaviours, and physical and mental health. BMC Publ Health 2012, 12:453. BioMed Central Full Text
  • [37]Rolland-Cachera MF, Cole TJ, Sempé M, Tichet J, Rossignol C, Charraud A: Body mass index variations: centiles from birth to 87 years. Eur J Clin Nutr 1991, 45:13-21.
  • [38]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, 10:345-350.
  • [39]Lynch JW, Kaplan GA, Cohen RD, Tuomilehto J, Salonen JT: Do cardiovascular risk factors explain the relation between socioeconomic status, risk of all-cause mortality, cardiovascular mortality, and acute myocardial infarction? Am J Epidemiol 1996, 144:934-942.
  • [40]Brestoff JR, Perry IJ, den Broeck JV: Challenging the role of social norms regarding body weight as an explanation for weight, height, and BMI misreporting biases: development and application of a new approach to examining misreporting and misclassification bias in surveys. BMC Publ Health 2011, 11:331. BioMed Central Full Text
  • [41]Shiely F, Perry IJ, Lutomski J, Harrington J, Kelleher CC, McGee H, Hayes K: Temporal trends in misclassification patterns of measured and self-report based body mass index categories - findings from three population surveys in Ireland. BMC Publ Health 2010, 10:560. BioMed Central Full Text
  • [42]Groesz L, McCoy S, Carl J, Saslow L, Stewart J, Adler N, Laraia B, Epel E: What is eating you? stress and the drive to eat. Appetite 2012, 58:717-721.
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