期刊论文详细信息
BMC Public Health
Assessment of selection bias in a health survey of children and families – the IDEFICS Sweden-study
Staffan Mårild4  Wolfgang Ahrens1  Tatiana Zverkova Sandström5  Sabrina Hense1  Lauren Lissner3  Gabriele Eiben3  Masuma Novak2  Susann Regber5 
[1] Department of Epidemiological Methods and Etiologic Research, Institute for Epidemiology and Prevention Research (BIPS), Bremen, Germany;Department of Molecular and Clinical Medicine, the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden;Department of Public Health and Community Medicine, Public Health Epidemiology Unit Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden;Department of Paediatrics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden;Nordic School of Public Health NHV, Box 12 133, SE- 402 42, Gothenburg, Sweden
关键词: Registers;    Health survey;    Obesity;    Children;    Selection bias;   
Others  :  1162263
DOI  :  10.1186/1471-2458-13-418
 received in 2012-12-05, accepted in 2013-04-08,  发布年份 2013
PDF
【 摘 要 】

Background

A health survey was performed in 2007–2008 in the IDEFICS/Sweden study (Identification and prevention of dietary- and lifestyle-induced health effects in children and infants) in children aged 2–9 years. We hypothesized that families with disadvantageous socioeconomic and -demographic backgrounds and children with overweight and obesity were underrepresented.

Methods

In a cross-sectional study, we compared Swedish IDEFICS participants (N=1,825) with referent children (N=1,825) using data from Statistics Sweden population registers. IDEFICS participants were matched for age and gender with a referent child living in the same municipality. Longitudinal weight and height data from birth to 8 years was collected for both populations (n=3,650) from the children’s local health services. Outcome measures included the family’s socioeconomic and demographic characteristics, maternal body mass index (BMI) and smoking habits before pregnancy, the children’s BMI standard deviation score (SDS) at the age of inclusion in the IDEFICS study (BMISDS-index), and the children’s BMI-categories during the age-span. Comparisons between groups were done and a multiple logistic regression analysis for the study of determinants of participation in the IDEFICS study was performed.

Results

Compared with IDEFICS participants, referent families were more likely to have lower education and income, foreign backgrounds, be single parents, and have mothers who smoked before pregnancy. Maternal BMI before pregnancy and child’s BMISDS-index did not differ between groups. Comparing the longitudinal data-set, the prevalence of obesity was significantly different at age 8 years n= 45 (4.5%) versus n= 31 (2.9%) in the referent and IDEFICS populations, respectively. In the multivariable adjusted model, the strongest significant association with IDEFICS study participation was parental Swedish background (odds ratio (OR) = 1.91, 95% confidence interval (CI) (1.48–2.47) followed by parents having high education OR 1.80, 95% CI (1.02-3.16) and being married or co-habiting OR 1.75 95% CI (1.38-2.23).

Conclusion

Families with single parenthood, foreign background, low education and income were underrepresented in the IDEFICS Sweden study. BMI at inclusion had no selection effect, but developing obesity was significantly greater among referents.

【 授权许可】

   
2013 Regber et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20150413060822298.pdf 260KB PDF download
Figure 1. 35KB Image download
【 图 表 】

Figure 1.

【 参考文献 】
  • [1]de Onis M, Blossner M, Borghi E: Global prevalence and trends of overweight and obesity among preschool children. Am J Clin Nutr 2010, 92(5):1257-1264.
  • [2]World Health Organization: Obesity and overweight, Fact sheet No311. http://www.who.int/mediacentre/factsheets/fs311/en/ webcite
  • [3]Wilkinson RG, Pickett K: Jämlikhetsanden: därför är mer jämlika samhällen nästan alltid bättre samhällen (original title: The Spirit level: Why more equal societies almost always do better.). Karneval: Stockholm; 2010.
  • [4]Waters E, de Silva-Sanigorski A, Hall BJ, Brown T, Campbell KJ, Gao Y, Armstrong R, Prosser L, Summerbell CD: Interventions for preventing obesity in children. Cochrane Database Syst Rev 2011, 12(12):CD001871.
  • [5]World Health Organization, Health Metrics Network: Issues in health information: Integrating equity into health information systems. http://www.who.int/healthmetrics/documents/hmnissue_integratingequity.pdf webcite
  • [6]Ahrens W, Bammann K, de Henauw S, Halford J, Palou A, Pigeot I, Siani A, Sjostrom M: European Consortium of the IDEFICS Project: Understanding and preventing childhood obesity and related disorders–IDEFICS: a European multilevel epidemiological approach. Nutr Metab Cardiovasc Dis 2006, 16(4):302-308.
  • [7]Strandhagen E, Berg C, Lissner L, Nunez L, Rosengren A, Toren K, Thelle DS: Selection bias in a population survey with registry linkage: potential effect on socioeconomic gradient in cardiovascular risk. Eur J Epidemiol 2010, 25(3):163-172.
  • [8]Goodman A, Gatward R: Who are we missing? Area deprivation and survey participation. Eur J Epidemiol 2008, 23(6):379-387.
  • [9]Ahrens W, Bammann K, Siani A, Buchecker K, De Henauw S, Iacoviello L, Hebestreit A, Krogh V, Lissner L, Marild S, Molnar D, Moreno LA, Pitsiladis YP, Reisch L, Tornaritis M, Veidebaum T, Pigeot I, IDEFICS Consortium: The IDEFICS cohort: design, characteristics and participation in the baseline survey. Int J Obes (Lond) 2011, 35(Suppl 1):S3-S15.
  • [10]De Henauw S, Verbestel V, Marild S, Barba G, Bammann K, Eiben G, Hebestreit A, Iacoviello L, Gallois K, Konstabel K, Kovacs E, Lissner L, Maes L, Molnar D, Moreno LA, Reisch L, Siani A, Tornaritis M, Williams G, Ahrens W, De Bourdeaudhuij I, Pigeot I, IDEFICS Consortium: The IDEFICS community-oriented intervention programme: a new model for childhood obesity prevention in Europe? Int J Obes (Lond) 2011, 35(Suppl 1):S16-S23.
  • [11]Statistics Sweden: Statistics Sweden (Statistiska centralbyrån, SCB). http://www.scb.se webcite
  • [12]Ludvigsson JF, Otterblad-Olausson P, Pettersson BU, Ekbom A: The Swedish personal identity number: possibilities and pitfalls in healthcare and medical research. Eur J Epidemiol 2009, 24(11):659-667.
  • [13]Wallby T, Hjern A: Child health care uptake among low-income and immigrant families in a Swedish county. Acta Paediatr 2011, 100(11):1495-1503.
  • [14]Ministry of Education at the Swedish Government: 14 kap. 1 § skollagen (1985:1100) (Chapter 14 of the Education Act 1985:1100)
  • [15]The EpiData Association: EpiData Software, version 2.0. http://www.epidata.dk/downloads/epidataflyer_general.pdf webcite
  • [16]Cole TJ, Freeman JV, Preece MA: British 1990 growth reference centiles for weight, height, body mass index and head circumference fitted by maximum penalized likelihood. Stat Med 1998, 17(4):407-429.
  • [17]Cole TJ, Bellizzi MC, Flegal KM, Dietz WH: Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 2000, 320(7244):1240-1243.
  • [18]Socialstyrelsen: The National Board of Health and Welfare. The Medical Birth Register. http://www.socialstyrelsen.se/english webcite
  • [19]UNESCO: ISCED 1997, International standard classification of education. http://www.uis.unesco.org/Library/Documents/isced97-en.pdf webcite
  • [20]Källén B, Källén K, Otterblad Olausson P: The Swedish Medical Birth Register - A summary of content and quality. Centre for Epidemiology. Swedish National Board of Health and Welfare. 2003, 112:3. http://www.socialstyrelsen.se/Lists/Artikelkatalog/Attachments/10655/2003-112-3_20031123.pdf webcite
  • [21]Marsal K, Persson PH, Larsen T, Lilja H, Selbing A, Sultan B: Intrauterine growth curves based on ultrasonically estimated foetal weights. Acta Paediatr 1996, 85(7):843-848.
  • [22]Statistics Sweden: Population statistics the 1 of November after region, age and sex. Year 2002–2011. http://www.scb.se/Pages/SSD/SSD_SelectVariables.aspx?id=340487&rxid=a1626366-ae8f-42c4-9217-6840ff99a21a&px_tableid=ssd_extern%3aFolkmangdNov webcite
  • [23]Berger ML, Bingefors K, Hedblom EC, Pashos CL, Torrance GW: Health care costs, quality, and outcomes: ISPOR book of terms: Lawrenceville. NJ: International Society of Pharmacoeconomics and Outcomes Research; 2003.
  • [24]Pettersson C, Linden-Bostrom M, Eriksson C: Reasons for non-participation in a parental program concerning underage drinking: a mixed-method study. BMC Publ Health 2009, 9:478. BioMed Central Full Text
  • [25]Cunningham CE, Boyle M, Offord D, Racine Y, Hundert J, Secord M, McDonald J: Tri-ministry study: correlates of school-based parenting course utilization. J Consult Clin Psychol 2000, 68(5):928-933.
  • [26]Bauman KE, Ennett ST, Foshee VA, Pemberton M, Hicks K: Correlates of participation in a family-directed tobacco and alcohol prevention program for adolescents. Health Educ Behav 2001, 28(4):440-461.
  • [27]Hart JT: The inverse care law. Lancet 1971, 1(7696):405-412.
  • [28]Victora CG, Vaughan JP, Barros FC, Silva AC, Tomasi E: Explaining trends in inequities: evidence from Brazilian child health studies. Lancet 2000, 356(9235):1093-1098.
  • [29]Lissner L, Lanfer A, Gwozdz W, Olafsdottir S, Eiben G, Moreno LA, Santaliestra-Pasias AM, Kovacs E, Barba G, Loit HM, Kourides Y, Pala V, Pohlabeln H, De Henauw S, Buchecker K, Ahrens W, Reisch L: Television habits in relation to overweight, diet and taste preferences in European children: the IDEFICS study. Eur J Epidemiol 2012, 27(9):705-715.
  • [30]Latner JD, Stunkard AJ: Getting worse: the stigmatization of obese children. Obes Res 2003, 11(3):452-456.
  • [31]Regber S, Novak M, Eiben G, Bammann K, De Henauw S, Fernandez-Alvira JM, Gwozdz W, Kourides Y, Moreno LA, Molnar D, Pigeot I, Reisch L, Russo P, Veidebaum T, Borup I, Marild S: Parental perceptions of and concerns about child's body weight in eight European countries - the IDEFICS study. Pediatr Obes 2013, 8(2):118-129.
  • [32]Swinburn B, Egger G, Raza F: Dissecting obesogenic environments: the development and application of a framework for identifying and prioritizing environmental interventions for obesity. Prev Med 1999, 29(6 Pt 1):563-570.
  • [33]Thorn J, Waller M, Johansson M, Marild S: Overweight among Four-Year-Old Children in Relation to Early Growth Characteristics and Socioeconomic Factors. J Obes 2010. Epub 2010 Feb 28
  • [34]Blomquist HK, Bergstrom E: Obesity in 4-year-old children more prevalent in girls and in municipalities with a low socioeconomic level. Acta Paediatr 2007, 96(1):113-116.
  • [35]Novak M, Ahlgren C, Hammarstrom A: A life-course approach in explaining social inequity in obesity among young adult men and women. Int J Obes (Lond) 2006, 30(1):191-200.
  • [36]Schwartz MB, Puhl R: Childhood obesity: a societal problem to solve. Obes Rev 2003, 4(1):57-71.
  • [37]Koupil I, Toivanen P: Social and early-life determinants of overweight and obesity in 18-year-old Swedish men. Int J Obes (Lond) 2008, 32(1):73-81.
  • [38]Faskunger J, Eriksson U, Johansson SE, Sundquist K, Sundquist J: Risk of obesity in immigrants compared with Swedes in two deprived neighbourhoods. BMC Publ Health 2009, 9:304. BioMed Central Full Text
  文献评价指标  
  下载次数:18次 浏览次数:15次