Family affluence and cultural capital as indicators of social inequalities in adolescent’s eating behaviours: a population-based survey

BMC Public Health

Torbjørn Torsheim²  Oddrun Samdal¹  Anne-Siri Fismen¹ 

[1]Department of health promotion and development, University of Bergen, Christiesgate 13, Bergen, 5015, Norway

[2]Department of psychosocial science, University of Bergen, Christiesgate 12, Bergen, 5015, Norway

关键词: Meal frequency;    Soft drinks;    Sweets;    Vegetables;    Fruit;    Healthy eating;    Adolescents;    Cultural capital;    Material capital;    FAS;    Social inequality;   

Others  :  1162772
DOI  :  10.1186/1471-2458-12-1036

 received in 2012-02-22, accepted in 2012-11-23,  发布年份 2012

【 摘 要 】

Background

Dietary inequality, via socio-economic inequality, may involve several mechanisms. Different aspects of adolescents’ socio-economic circumstances should therefore be considered in order to make effective interventions to promote healthy eating in the young population. Indicators designed to tap socio-economic status among adolescents in particular will facilitate a better understanding of the concept of socio-economic status and how it influences health behaviour among young people. The purpose of this study was to evaluate if material capital and cultural capital individually and independently contribute to the prediction of eating habits in the Norwegian adolescent population.

Methods

The analysis is based on survey data from the Health Behaviour in School-Aged Children study. The Family Affluence Scale (number of cars, holidays, PC and bedrooms) and number of books in the household were used as indicators of socio-economic status, respectively measuring material capital and cultural capital. Their influence on adolescent’s consumption of fruit, vegetables, sweets, soft drinks, and consumption of breakfast and dinner was evaluated. Pearson’s correlation, logistic regression and ridit transformation analysis were used to analyse the data.

Results

Higher family affluence was shown to predict consumption of more fruit (OR 1.52) and vegetables (OR 1.39) and consumption of breakfast (OR 1.61) and dinner (1.35). Cultural capital was significantly associated to consumption of fruit (OR 1.85), vegetables (OR 2.38) sweets (OR .45), sugary soft drinks (OR .26), breakfast (OR 2.13) and dinner (OR 1.54). Cultural capital was the strongest predictor to healthy eating among adolescents in Norway.

Conclusions

Material capital and cultural capital individually and independently contributed to the prediction of healthy eating patterns among adolescents in Norway. Cultural capital is an understudied dimension of the socio-economic status concept and the influence on health behaviour needs to be explored in future studies. Initiatives to promote healthy eating should focus on education, habits and consciousness of a healthy diet, but also at reducing the high cost of fruit and vegetables. There is further a need for developing appropriate indicators for adolescent socio-economic status.

【 授权许可】

   
2012 Fismen et al.; licensee BioMed Central Ltd.

【 参考文献 】

• [1]Kvaavik E, Samdal O, Trygg K, Johansson L, Klepp KI: Fem for dagen - ti år etter [Five a day–ten years later]. Tidsskr Nor Laegeforen 2007, 127(17):2250-2253.
• [2]Bere E, Veierod MB, Klepp KI: The Norwegian school fruit programme: evaluating paid vs. no-cost subscriptions. Prev Med 2005, 41(2):463-470.
• [3]Rasmussen M, Krolner R, Klepp KI, Lytle L, Brug J, Bere E, Due P: Determinants of fruit and vegetable consumption among children and adolescents: a review of the literature. Part I: Quantitative studies. Int J Behav Nutr Phys Act 2006, 3:22.
• [4]Lien N, Lytle LA, Klepp KI: Stability in consumption of fruit, vegetables, and sugary foods in a cohort from age 14 to age 21. Prev Med 2001, 33(3):217-226.
• [5]Vereecken CA, Inchley J, Subramanian SV, Hublet A, Maes L: The relative influence of individual and contextual socio-economic status on consumption of fruit and soft drinks among adolescents in Europe. Eur J Public Health 2005, 15(3):224-232.
• [6]Lien N, Jacobs DR Jr, Klepp KI: Exploring predictors of eating behaviour among adolescents by gender and socio-economic status. Public Health Nutr 2002, 5(5):671-681.
• [7]James WP, Nelson M, Ralph A, Leather S: Socioeconomic determinants of health. The contribution of nutrition to inequalities in health. Bmj 1997, 314(7093):1545-1549.
• [8]Kelder SH, Perry CL, Klepp KI, Lytle LL: Longitudinal tracking of adolescent smoking, physical activity, and food choice behaviors. Am J Public Health 1994, 84(7):1121-1126.
• [9]Furstenberg FF: The intersections of social class and the transition to adulthood. New Dir Child Adolesc Dev 2008, 2008(119):1-10.
• [10]Swartz TT: Family capital and the invisible transfer of privilege: Intergenerational support and social class in early adulthood. New Dir Child Adolesc Dev 2008, 2008(119):11-24.
• [11]Nordic Concil of Ministers: Nordic plan of action on better health and quality of life through diet and physical activity. Copenhagen: Nordic Concil of Ministers; 2006.
• [12]Busselman KM, Holcomb CA: Reading skill and comprehension of the dietary guidelines by WIC participants. J Am Diet Assoc 1994, 94(6):622-625.
• [13]Macario E, Emmons KM, Sorensen G, Hunt MK, Rudd RE: Factors influencing nutrition education for patients with low literacy skills. J Am Diet Assoc 1998, 98(5):559-564.
• [14]Barratt J: The cost and availability of healthy food choices in southern Derbyshire. J Hum Nutr Diet 1997, 10(1):63-69.
• [15]Robinson N, Caraher M, Lang T: Access to shops: the views of low-income shoppers. Health Educ J 2000, 59(2):121-136.
• [16]Abel T: Cultural capital and social inequality in health. J Epidemiol Community Health 2008, 62(7):e13.
• [17]Khawaja M, Mowafi M: Cultural capital and self-rated health in low income women: evidence from the urban health study, Beirut, Lebanon. J Urban Health 2006, 83(3):444-458.
• [18]PaLW B: An invitation to reflexive sociology. Chicago: University of Chicago Press; 1992.
• [19]Swartz D: Culture and power: the sociology of Pierre Bourdieu. Chicago: University of Chicago Press; 1997.
• [20]Turrell G, Hewitt B, Patterson C, Oldenburg B: Measuring socio-economic position in dietary research: is choice of socio-economic indicator important? Public Health Nutr 2003, 6(2):191-200.
• [21]Roos E, Lahelma E, Virtanen M, Prattala R, Pietinen P: Gender, socioeconomic status and family status as determinants of food behaviour. Soc Sci Med 1998, 46(12):1519-1529.
• [22]Shimakawa T, Sorlie P, Carpenter MA, Dennis B, Tell GS, Watson R, Williams OD: Dietary intake patterns and sociodemographic factors in the atherosclerosis risk in communities study. ARIC Study Investigators. Prev Med 1994, 23(6):769-780.
• [23]Abramson JH, Gofin R, Habib J, Pridan H, Gofin J: Indicators of social class: A comparative appraisal of measures for use in epidemiological studies. Social Science & Medicine 1982, 16(20):1739-1746.
• [24]Geronimus AT, Bound J, Neidert LJ: On the validity of using census geocode characteristics to proxy individual socioeconomic characteristics. J Am Stat Assoc 1996, 91(434):529-537.
• [25]Krieger N, Williams DR, Moss NE: Measuring social class in US public health research: concepts, methodologies, and guidelines. Annu Rev Public Health 1997, 18:341-378.
• [26]Galobardes B, Shaw M, Lawlor DA, Lynch JW, Davey Smith G: Indicators of socioeconomic position (part 1). J Epidemiol Community Health 2006, 60(1):7-12.
• [27]Wardle J, Robb K, Johnson F: Assessing socioeconomic status in adolescents: the validity of a home affluence scale. J Epidemiol Community Health 2002, 56(8):595-599.
• [28]Currie C, Elton RA, Todd J, Platt S: Indicators of socioeconomic status in adolescents: the validity of a home affluence scale. J Epidemiol Community Health 1997, 12(3):385-397.
• [29]Carstairs V, Morris R: Deprivation and health in Scotland. Health Bull 1990, 48(4):162-175.
• [30]Abel : Cultural capital in health promotion. In The role of theory in health promotion. edn edition. New York: Springer; 2007:43-73.
• [31]Bourdieu P: The forms of capital. In: Handbook of Theory and Research for the Sociology of Education. edn. New York; 1986:241-258.
• [32]Krange O, Pedersen W: Return of the marlboro Man? recreational smoking among young Norwegian adults. Journal of Youth Studies 2001, 4(2):155-174.
• [33]Bakken A: Nye tall om ungdom. Økt sosial ulikhet i skolen? (New data on adolescents. Increased inequality in school?). Tidskrift for ungdomsforskning 2004, 4(1):83-91.
• [34]Evans M, K J, Sikora J, Treiman D: Family scholary culture and educational success: Books and schooling in 27 nations. Research in Social Stratification and Mobility 2010, 28(2):171-197.
• [35]Krange O, Strandbu A: Ungdom, idrett og friluftsliv. Skillelinjer I ungdomsbefolkningen og endringer fra 1992 - 2002 (Adolescence, physical activity and outdoor activity. Differences and changes from 1992-2002). 16th edition. Oslo, NOVA report; 2004.
• [36]Martins L, Veiga P: Do inequalities in parents’ education play an important role in PISA students’ mathematics achievement test score disparities? Econ Educ Rev 2010, 29(6):1016-1033.
• [37]Schmidt FMC: The role of background factors for reading literacy: straight national scores in the pisa 2000 study. London: Centre for Economic Policy Research; 2002.
• [38]Strandbu , Aring , Skogen K: Environmentalism among Norwegian youth: different paths to attitudes and action? Journal of Youth Studies 2000, 3(2):189-209.
• [39]Roberts C, Freeman J, Samdal O, Schnohr CW, De Looze ME, Nic Gabhainn S, Iannotti R, Rasmussen M: The health behaviour in school-aged children (HBSC) study: methodological developments and current tensions. Int J Public Health 2009, 54(Suppl 2):140-150.
• [40]Townsend P: Deprivation. J Soc Policy 1987, 16(02):125-146.
• [41]Schnohr C, Kreiner S, Due EP, Currie C, Boyce W, Diderichsen F: Differential item functioning of a family affluence scale: validation study on data from HBSC 2001/02. Soc Indic Res 2008, 89(1):79-95.
• [42]Bross IDJ: How to use ridit analysis. Biometrics 1958, 3(2):189-209.
• [43]Mackenbach JP, Kunst AE: Measuring the magnitude of socio-economic inequalities in health: an overview of available measures illustrated with two examples from Europe. Soc Sci Med 1997, 44(6):757-771.
• [44]Manor O, Matthews S, Power C: Comparing measures of health inequality. Social Science & Medicine 1997, 45(5):761-771.
• [45]Torsheim T, Currie C, Boyce W, Kalnins I, Overpeck M, Haugland S: Material deprivation and self-rated health: a multilevel study of adolescents from 22 European and North American countries. Soc Sci Med 2004, 59(1):1-12.
• [46]Cavelaars AE, Kunst AE, Geurts JJ, Helmert U, Lundberg O, Mielck A, Matheson J, Mizrahi A, Rasmussen N, Spuhler T, et al.: Morbidity differences by occupational class among men in seven European countries: an application of the Erikson-Goldthorpe social class scheme. Int J Epidemiol 1998, 27(2):222-230.
• [47]Currie C, Molcho M, Boyce W, Holstein B, Torsheim T, Richter M: Researching health inequalities in adolescents: the development of the health behaviour in school-aged children (HBSC) family affluence scale. Soc Sci Med 2008, 66(6):1429-1436.
• [48]Iversen A, Holsen I: Inequality in health, psychosocial resources and health behavior in early adolescence: the influence of different indicators of socioeconomic position. Child Indicators Research 2008, 1(3):291-302.
• [49]Torsheim T, Leversen I, Samdal O: Sosial ulikhet i ungdoms helse: Er helseadferd viktig? Norsk Epidemiologi 2007, 17(1):79-86.
• [50]Vereecken C, Dupuy M, Rasmussen M, Kelly C, Nansel TR, Al Sabbah H, Baldassari D, Jordan MD, Maes L, Niclasen BV, et al.: Breakfast consumption and its socio-demographic and lifestyle correlates in schoolchildren in 41 countries participating in the HBSC study. Int J Public Health 2009, 54(Suppl 2):180-190.
• [51]Lareau A, Weininger EB: Cultural capital in educational research: a critical assessment. Theory and Society 2003, 32(5):567-606.
• [52]Hibel FGJ: Being unready for school: Factors affecting risk and resilience. In Disparities in school readiness how families contributes to transitions to school Edited by Crouter BAA. 2000.
• [53]Ball K, MacFarlane A, Crawford D, Savige G, Andrianopoulos N, Worsley A: Can social cognitive theory constructs explain socio-economic variations in adolescent eating behaviours? A mediation analysis. Health Educ Res 2009, 24(3):496-506.
• [54]Johansen A, Rasmussen S, Madsen M: Health behaviour among adolescents in Denmark: influence of school class and individual risk factors. Scand J Public Health 2006, 34(1):32-40.
• [55]Cox D, Anderson AS, McKellar S, Reynolds J, Lean MEJ, Mela DJ: Vegetables and fruits: barriers and opportunities for greater consumption. Nutr Food Sci 1996, 5:44-47.
• [56]Drewnowski A, Darmon N: The economics of obesity: dietary energy density and energy cost. Am J Clin Nutr 2005, 82(1 Suppl):265S-273S.
• [57]Drewnowski A, Darmon N, Briend A: Replacing fats and sweets with vegetables and fruits–a question of cost. Am J Public Health 2004, 94(9):1555-1559.
• [58]John JH, Ziebland S: Reported barriers to eating more fruit and vegetables before and after participation in a randomized controlled trial: a qualitative study. Health Educ Res 2004, 19(2):165-174.
• [59]Yeh MC, Ickes SB, Lowenstein LM, Shuval K, Ammerman AS, Farris R, Katz DL: Understanding barriers and facilitators of fruit and vegetable consumption among a diverse multi-ethnic population in the USA. Health Promot Int 2008, 23(1):42-51.
• [60]Dibsdall LA, Lambert N, Bobbin RF, Frewer LJ: Low-income consumers' attitudes and behaviour towards access, availability and motivation to eat fruit and vegetables. Public Health Nutr 2003, 6(2):159-168.
• [61]Brug J, Tak NI, te Velde SJ, Bere E, de Bourdeaudhuij I: Taste preferences, liking and other factors related to fruit and vegetable intakes among schoolchildren: results from observational studies. Br J Nutr 2008, 99(Suppl 1):S7-S14.
• [62]Øygard L: Studying food tastes among young adults using Bourdieu's theory. Journal of Consumer Studies & Home Economics 2000, 24(3):160-169.
• [63]Vereecken CA, Maes L: A Belgian study on the reliability and relative validity of the health behaviour in school-aged children food-frequency questionnaire. Public Health Nutr 2003, 6(6):581-588.
• [64]Bere E, Hilsen M, Klepp KI: Effect of the nationwide free school fruit scheme in Norway. Br J Nutr 2010, 104(4):589-594.
• [65]Hilsen M, van Stralen MM, Klepp KI, Bere E: Changes in 10-12 year old's fruit and vegetable intake in Norway from 2001 to 2008 in relation to gender and socioeconomic status - a comparison of two cross-sectional groups. Int J Behav Nutr Phys Act 2011, 8:108. BioMed Central Full Text
• [66]French SA: Pricing effects on food choices. J Nutr 2003, 133(3):841S-843S.
• [67]Jeffery RW, French SA, Raether C, Baxter JE: An environmental intervention to increase fruit and salad purchases in a cafeteria. Prev Med 1994, 23(6):788-792.
• [68]Powell LM, Zhao Z, Wang Y: Food prices and fruit and vegetable consumption among young American adults. Health Place 2009, 15(4):1064-1070.