Social class differences in food consumption The explanatory value of permissiveness and health and cost considerations CHRISTIANNE L.H HUPKENS, RONALD A. KNIBBE, MARIA J. DROP * Background: Middle-class people generally have healthier diets than lower-class people. Considerations that underlie choices of foodstuffs may explain this class difference in eating habits. Qualitative studies on food beliefs show that lower-class mothers consider health less frequently in their choice of food, while they take the preferences of family members and expenses more often into account than their middle-class counterparts. In this paper quantitative survey data are used to explore the explanatory power of these factors. Methods: Data on 849 women living with a partner and at least one child in three European cities (Maastricht, The Netherlands, Liege, Belgium and Aachen, Germany) were analysed. Results: Regarding food consumption, most but not all class differences were in line with expectations. Class differences in food choice considerations corresponded with the findings of other studies. Middle-class mothers were less permissive and they considered health more often and costs less often than lower-class mothers. However, regression analyses indicated that these considerations scarcely explain class patterns in food consumption. Conclusions: This study shows that social class differences in food consumption are hardly explained by permissiveness, hearth or cost considerations. Keywords: costs, food consumption, health considerations, permissiveness, social class M any studies in Western countries have reported social inequalities in food consumption. Social epidemiological and qualitative studies on food consumption patterns show that diets in the higher social classes are more often in line with dietary recommendations than those in the lower classes.1"12 The study reported here explores class differences in food consumption of women and aims to explain these class differences. Most studies on class differences in food choice considerations have a qualitative design. These studies confirm that there is a class difference in the extent to which mothers take health, costs and the taste preferences of their family into account when buying and preparing food. Middle-class mothers mention the 'goodness' or health value of foods more often as their primary consideration, while lower-class mothers mention the cost of food and the preferences of their partner and children more often as important considerations in their choice of food. 101113 - 15 The present study aims to bridge the gap between the large-scale population studies showing class differences in food consumption and the mainly qualitative sociological studies on class differences in food beliefs. This study uses survey data on food consumption and food considerations of mothers in three cities: Maastricht, The Netherlands, Liege, Walloon part of Belgium and Aachen, Germany. * C L H . Hupkens', R.A. Knlbbe'. M J Drop1 1 Department of Medical Sociology, Maastricht University, Maastricht, The Netherlands Correspondence: Dr. Christianne Hupkens, Statistics Netherlands, P.O. Box 4481, 6401 CZ Heerlen, The Netherlands Compared to qualitative studies, the present study allows an assessment of the extent to which class differences in food choice considerations are replicated in a relatively large sample. In addition, whereas studies of food considerations are predominantly British, the present study is conducted in three countries on the European continent. Furthermore, this study examines the explanatory value of food considerations systematically for the consumption of a wide range of foods and snacks. This paper explores three topics: class differences in food consumption, class differences in food considerations and the extent to which food considerations explain class differences in consumption. For the analysis of class differences in food consumption, foods and snacks were selected which contribute largely to the intake of fat and fibre. These nutrients are most likely associated with healthy eating, as health promotion campaigns in the three countries have recommended that people consume less fat and more fibre for several years. We hypothesize that middle-class women consume fewer snacks and foods that contribute primarily to the intake of fat and more foods that contain fibre than lower-class women. With respect to the food considerations, we expected that, in line with the outcomes of the studies mentioned earlier, middle-class mothers consider health more often in their choice of food, while lower-class mothers take costs and the food preferences of their family into account more often. We subsequently analysed whether class differences in these considerations explain class differences in food consumption. Finally, we examined whether the associations between social class, considerations and food consumption are similar or different in the three cities. Class differences in food consumption DATA AND METHODS Survey Data on dietary and eating habits were collected from 849 women in Maastricht (n=304), Liege (n=316) and Aachen (n=229) who lived with a male partner and at least one child aged 4-14 years. The response rate was highest in Maastricht (79%), followed by Liege (78%) and lowest in Aachen (67%). On average, die women were approximately 36 years old, the majority had two or three children, the average age of their children was 8 years and nearly half of the women had a paid or unpaid job. More detailed information on die composition of the samples in the three cities has been described elsewhere.' 6 Questionnaire The questionnaire consisted of two parts: a food frequency questionnaire and a questionnaire on food practices. The semi-quantitative food frequency questionnaire was validated on die ability to rank subjects. This questionnaire was developed by Bausch-Goldbohm et a l . " for a large cohort study on diet and cancer in The Netherlands. Bodi the validity and reproducibility were tested and appeared to be satisfactory.' 8 '' 9 The questionnaire on food practices was based on the results of a qualitative study of Van Otterloo and Van Ogtrop. 13 In collaboration with Van Otterloo, questions were formulated on, for example, meal patterns, the preparation of meals, food regimes, health considerations and preferences. More information on the questionnaire is reported in anorJier publication. Data • Social class In general, social class is based on education, occupation and/or income. We decided to use die women's educational level as an indicator of social class for two reasons. First, studies which have compared these tJiree measures for rJieir power in predicting health behaviours reported that educational level is usually the most consistent and reliable measure. Secondly, in the present study the women's educational level appeared to be a better predictor of food consumption dian four other proxies for social class, namely the women's occupational status, rJieir partners' educational level or occupational status and die family's income source (a dichotomous variable: either salary or state benefit). We compared the explanatory value of diese proxies by regressing die food consumption variables on die five proxies (stepwise regression). As the women's educational level was most often included first in die analyses, we used this variable as an indicator of social class. Women were classified into diree social classes: lower educational class (i.e. elementary and lower vocational training for 12-16 years old), middle educational class and higher educational class (i.e. higher vocational training for >18 years old and university). • Food consumption We computed mean daily intakes of die 120 food items that were included in die food frequency questionnaire by multiplying consumption frequency, number of serving units and weight of a unit. Next, nutrient intake was calculated using Dutch, Belgian and German food composition tables. 2} ~ 25 We grouped the 120 food items into 30 food groups. For die present study we selected food groups which contributed considerably to die intake of fat and fibre, namely meat products, milk products, cheese, dietary oil and fats, brown bread (including wholemeal bread), grain, fruit and vegetables and potatoes. In addition, we chose three categories of snacks, namely chips, savoury snacks (such as nuts and crisps) and sweets (including cakes and biscuits). We analysed die average number of grams die women consumed per day for each food group. • Considerations Former studies on class differences in food considerations have generally had a qualitative design. Therefore, die formulation of die questions on considerations were based on one of these studies. The mothers were asked how often they took health into account when diey bought or prepared food. Answer possibilities ranged from never (1), dirough sometimes (2), regularly (3) and often (4) to always (5). Three questions were formulated to measure the extent to which the mothers considered expense when they bought bread, meat and vegetables, with similar answer categories as indicated above. The reliability of the answers to diese diree questions was satisfactory (Cronbach's a: Maastricht a = 0.85, Liege a = 0.70 and Aachen a = 0.81) and, therefore, these answers were combined to one five-point scale. Permissiveness concerning food preferences was assessed by how strictly die modiers controlled dieir children's consumption widi respect to foods children prefer, but which their parents generally consider less healthy, namely white bread, sweet sandwich fillings, chips, dessert, sweets, sweet yoghurt drinks and soft drinks. For each of these seven food groups modiers noted whedier diey restricted dieir children eating these foods or whedier their children were allowed to eat them whenever diey wanted. The number of foods diat the mothers restricted their children eating was used as a proxy for permissiveness: the more foods the modiers restricted, die less diey were inclined to indulge their children's preferences and, thus, die less permissive they were. Analysis We applied analyses of variance to test class differences in food consumption and in the number of foods mothers restricted their children eating and we used y} tests to test class differences in healdi and cost considerations. In order to examine die correlations between die diree food choice-related considerations and the food consumption variables, we calculated correlation coefficients. For food groups which showed an association with both educational level and one or more considerations, we examined whether class differences in consumption could be explained by die three considerations. Therefore, we regressed each food consumption variable on educational level, permissiveness and health and cost considerations using two regression models. The food variables were first EUROPEAN JOURNAL OF PUBLIC HEALTH VOL. 10 2000 NO. 2 regressed on two dummy variables for educational level: one for middle educational level and one for high educational level (regression model 1). Secondly, the three considerations were added to the regression equation (regression model 2). Comparison of these models gives insight into the explanatory power of the considerations. All analyses were performed for all respondents together and for each city separately. The results for all respondents are presented in table 3 and interesting exceptions in die different cities are described in the text. RESULTS Class differences in food consumption Table 1 shows that, for almost all foods, die expected class differences in consumption were found. Generally, differences in food consumption between lower-educated and middle-educated women were more pronounced than differences between middle-educated and highly-educated women. Regarding the consumption of foodstuffs which contribute to fat, it appeared diat highly-educated women consumed less meat and meat products, less milk and milk products and less edible oil and fats, but more cheese. With regard to the consumption of fibre-rich foods, highly-educated women consumed less potatoes, but more brown bread, grain and slightly more fruit and vegetables than lower-educated women. Middle-educated and highly-educated women hardly differed in dieir consumption of chips, savouries and sweets, but they consumed less dian lower-educated women. The class patterns in food choice were similar in the three cities, but not of die same magnitude. Generally, class differences were largest in Maastricht and smallest in Aachen. Class differences in food choice considerations Table 2 shows die proportion of mothers who considered healdi and costs often or very often in their choice of food and die average number of foods tiiat motxiers of different educational levels restricted their children eating. The class differences were as expected: highly-educated modiers considered health more often and costs less often dian lower-educated mothers, while die latter restricted fewer foods, indicating diat diey were more permissive. Before including diese variables in die regression analyses, die three correlation coefficients between die considerations were inspected. Only die correlation between healdi considerations and permissiveness was found to be statistically significant, though not strongly so (r=0.17 and p<0.01). Modiers who considered healdi more often were somewhat more likely to control their children's consumption more often. Explanation of class differences in food consumption In order to examine whether class differences in food consumption could be explained by die diree con- Table 1 Mean daily consumption of food groups by educational level (standard deviation in brackets) Food groups (g/day) Meat products Milk products Cheese Oil and fats Brown bread Grain Potatoes Fruit and vegetables Chips Savouries Sweets 113 307 28 42 107 26 98 279 3 12 20 Educational level Middle Low Total population (58) (304) (24) (22) (83) (30) (69) (155) 126 352 (9) (19) (25) 7 25 48 86 20 125 264 16 27 (64) (391) (28) (23) (83) (32) (86) 113 289 (161) (12) (25) (33) 276 2 9 (147) 16 (21) 28 41 112 28 92 (54) (271) (23) (21) (85) (30) (58) (6) (13) High 97 279 32 37 124 31 77 300 1 10 16 (53) (216) (22) (20) (72) ** ** ** ** ** (27) (47) (159) ** ** * ** (4) •* (17) (18) a. Analysis of variance, linearity of class differences. * 0.01<p<0.05, *• p<0.01 Table 2 Proportion of women who consider health and costs often or very often and average number of foods women restrict their children eating by educational level Health Restricted foods Mean (SD) n Costs Educational level Low Middle High 50 61 69 268 348 221 53 39 28 263 339 211 2.7 (1.8) 3.6 (1.7) 3.9 (1.6) 270 349 222 All 59**" 837 41' 813 3.4 (1.8)* 841 n. number of respondents a: X2 test, statistically significant class differences: * 0.01<p<0.O5, ** p<0.01 b: Analysis of variance, statistically significant class differences: • 0.01 <p<0 05, • • p<0 01 Class differences m food consumption siderations, all food consumption variables in table 1 were three considerations and food consumption did not vary included in the analysis, except in the case where the class considerably between the cities. Generally, in Maastricht differences in consumption were small (fruit and and Aachen educational level and the three convegetables) or when consumption was not related to any siderations predicted food consumption somewhat better of the three considerations (sweets). The nine remaining than in Liege. consumption variables were first regressed on educational level; subsequently, the considerations were added. DISCUSSION Table 3 shows two regression models for each food conMost class patterns in food consumption in the present sumption group (the dependent variable): the first model study corresponded with the results of social epiincludes two dummy variables for educational level and demiological studies and more qualitative studies.1"11 in the second model the three considerations are added. Middle-class women appeared to consume less snacks and Table 3 presents the standardized regression coefficients fewer foods which contribute to the intake of dietary fat of the independent variables. and more foods which contribute to the intake of fibre. Yet, there were two exceptions: they ate more cheese and Comparison of the standardized regression coefficients of less potatoes than lower-class women. They probably ate the dummy variables for educational level between more cheese instead of meat and more grain (like rice) models 1 and 2 shows that in most cases these regression instead of potatoes. In addition, the results on class differcoefficients decreased only slightly when the three conences in permissiveness and health and cost considerations were included in the regression analysis. The siderations were in line with the results of the studies on influence of educational level on all food consumption food beliefs.10'1 lll3>14 Middle-class mothers considered variables remained significant in model 2. This indicates health more frequently and costs less often and they that class differences in food choice were scarcely exapplied more food restrictions, indicating that they were plained by these considerations. less permissive than lower-class mothers. Apart from the class differences in food consumption, However, the results regarding the explanatory value of women who took health into consideration consumed these considerations for class differences in consumption more milk, cheese, brown bread and grain and less were not in line with expectations. Class differences in dietary oil and fats, potatoes and chips compared to the considerations hardly explained class patterns in food women who considered health less often. Women who consumption. This finding corresponded with the conclurestricted their children more often consumed less meat, sion of a study on determinants of health behaviour milk, potatoes and savouries and more brown bread. Comamong lower-class mothers in the UK26 that sociodemopared to women who did not consider costs, women who graphic variables such as housing tenure were dominant did so more often consumed more oil and fats and more factors rather than attitudes and beliefs. The main point potatoes. of discussion is why class differences in food consumption The associations of these variables with food consumpwere not explained by class differences in these contion appeared to explain only a small part of the variance siderations, as suggested by almost all studies on food (R2 = 3-11%). Regression analyses of the cities separately beliefs. Three possible reasons are considered here: showed that the associations between social class, the Table 3 Multiple regression analyses of educational level (model 1) and of educational level and considerations regarding health, number of restricted foods and costs (model 2) on nine food groups (standardized regression coefficients) Independent variables Model 1 Middle educational level High educational level Adjusted R2 (xlOO) Model 2 Middle educational level High educational level Health considerations Number of restricted foods Costs considerations Adjusted Rz (xlOO) 4 0.01<p<005, **p<0.01 Meat Milk Cheese Oil and fats -0.10* -0.10* 0.05 -0.15** 0.16** -0.22** 3.50 -0.12** 1.00 0.11** 0.70 -0.24" 4.00 -0.07 -0.10* 0.04 -0.19" -0.12** 0.04 0.14** -0.11** 0.05 4.50 -0.07* 0.01 2.80 Brown bread Potatoes Chips Savouries 0.12" -0.22** -0.29* -0.17** 0.21** 3.30 0.14** 1.40 -0.31** 7.50 -0.33" 9.40 -0.13** 2.20 -0.12" 0.09* 0.09* -0.17** -0.26** -0.14" 0.09* -0.19** 0.12" 0.10* -0.25** -0.29** -0.09* 0.16** -0.13** 0.11** 0.14** -0.13" -0.09* -0.02 0.02 0.05 -0.04 0.08* 6.00 0.21** -0.06 9.00 0.05 0.01 3.40 -0.10** 0.10** 10.70 -0.04 0.06 10.50 -0.09* 0.07 3.20 3.40 Grain EUROPEAN JOURNAL OF PUBLIC HEALTH VOL. 10 2000 NO. 2 • the measurement of food-related considerations, • the impact of social desirability and • die extent to which the present sample allows generalization. Widi regard to die first point, there are no validated instruments available to measure considerations regarding health, taste and costs with the help of a questionnaire. As studies on class differences in food-related considerations are mainly sociological studies, we based the instruments on the findings of a qualitative study on food regimes.13 We did not apply social psychological instruments ' such as attitudes, beliefs and perceived norms as we were interested in behavioural norms. Analysis of die association between the women's food consumption and their health and taste considerations supports the validity of these measures. Women who took healdi into account more often and women who were less permissive had healthier food consumption patterns: they consumed less fat and more fibre. Secondly, social desirability may have biased the results. The women may have reported opinions and practices diey aspire to, but are not (yet) able to accomplish. Insofar as the results of the women of bodi social classes were coloured by social desirability, it probably would hardly affect social class differences in food consumption and considerations. Van Otterloo reported diat, in an ethnographic study on food regimes, the interviewers noted that lower-class women in particular 'felt the urge to present themselves as competent mothers and housewives' (p. 113). If this was also die case in die present study, die social class differences may have been underestimated. Thirdly, die selection of die sample may have influenced the results. In all surveys it appears to be very difficult to reach the upper classes and the lowest segment of the lower social classes. In addition, in the present study the class contrasts were not very large. More than 80% of the lower-class families in die three cities earned an income and the working-class women and their partners were mainly semi-skilled and skilled workers. A Dutch study on class differences in food regimes13 showed diat mothers who diemselves or dieir partner were skilled or semiskilled labourers had more in common with highermiddle-class women than motiiers from a socially more deprived background. Therefore, die conclusions cannot be generalized to include the most deprived and most well-off people, but diey are valid for the majority of lower and higher-middle social class families living in Maastricht, Liege and Aachen. Anotiier explanation for die discrepancy between the findings of the present study and die literature on class differences in food choice is diat die majority of die studies cited have been conducted in the UK. In this country die stronger hierarchy of social classes may have a larger impact on life style dian on die continent. As income inequalities and the number of households living in poverty are larger in the UK than in The Netherlands, Belgium and Germany, it seems that class differences in terms of material resources are larger in die UK.29 Only further empirical research can show to what extent die outcomes of die present study can be replicated in societies differing in class structure and/or cultural variations between social classes. The final question is what odier factors may explain die class patterns in food consumption. The study of Van Otterloo and Van Ogtrop13 indicated diat die women's own upbringing differed between the social classes and diat working-class women in particular took on die eating habits diey learned at home when diey were young. Possibly, class differences in die women's own backgrounds explain class differences in food choice. Anodier explanatory factor was described in a recent Finnish study.30 This study suggested diat not only healdi considerations but also the status of different foods are explanatory factors. Higher-class people distinguish themselves by choosing modem foods (which are not always healthy) while lower-class people adhere more to traditional foods (which are not always unhealdiy). These explanations for class differences in food choice deserve further study. We would like to thank all the women who completed the questionnaires for their cooperation and the Dutch, Belgian and German dietitians and researchers who advised us on the questionnaire and the design of the study for their constructive comments. We are particularly grateful to Dr A H. Van Otterloo and Dr R.A. BauschGoldbohm for their valuable contributions to die development of the questionnaire. 1 PrSttala R. Social class and food in the Nordic countries. 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