Currently there is little research investigating awareness or use of dietary guidelines in Saudi Arabia. This study aims to investigate Saudi Arabian mother’s knowledge of current dietary guidelines regarding food groups and portion sizes and to investigate its relation to the sociodemographic factors. This cross-sectional study used community-based family events to recruit mothers and children. Health stands offering nutrition information and advice were used at these events for study recruitment and nutritional advices to attract them. A short online questionnaire was used to interview mothers during the events to measure their knowledge of dietary guideline and portion sizes. The questionnaire included questions to assess knowledge of dietary guidelines and portion sizes. Questions about the serving size of each food groups and the dietary guideline ‘MyPlate’ were included; the study recruited a convenience sample of 101 participants. Quantitative analysis using Chi-square and Kruksan-Wallis tests. We found 29.1 % of the participants were aware of the MyPlate guidelines and 51.5 % said that they are affected by healthy plate choices. Being married was significantly associated with knowing about the MyPlate Image (P= 0.004). Correct identification of food groups on the MyPlate Image and correct identification of serving sizes of food group was less than 50% for most food groups. A significantly greater percentage of those with a postgraduate education were accurate about the correct servings of fruit, vegetables and grains (P=0.049). Nutrition knowledge of food groups and serving sizes was poor in the sample of Saudi Arabian women. This research provides evidence that nutrition education is needed in the Saudi Arabia and the finding are relevant for future health promotion strategies. The study has also identified sociodemographic groups that possibly may need to be targeted with more attention in future nutrition education programs such as those with low income, lower education level and unmarried women.
Knowledge and awareness of dietary guidelines has been linked to having a healthier diet and better diet quality 1, 2, 3, 4. Nutrition knowledge is also an important factor in overall health literacy where low health literacy is linked to unhealthy outcomes 5. Although there are some basic dietary guidelines on the website of the Ministry of Health since 2012-these are not widely disseminated and there is no data showing implementation or results of implementation of these guidelines 6. There is high quality research (a cohort study of 10 735 nationally representative participants) indicating that only a small percentage of the Saudi population meet the dietary recommendations (2% for fruit and 7.5% for vegetables for example) and thus there is an urgent need for programs to improve dietary behavior to reduce the burden of disease 7. This study intends to design a nutrition education program for mothers as it has been shown that mothers can influence children’s food intakes through shopping, feeding practices and attitudes 8, 9. Before designing such a program, we wanted to characterize the current level of knowledge so that we could target where to focus our efforts in future educational interventions. The American ‘MyPlate’ guidelines developed by the United States Department of Agriculture (USDA), which is a nutrition guide include 5 food groups with different colours and sizes developed in 2011. It is well known and user friendly 10. It is the image of a plate with food groups on it, as shown in Figure 1. The Saudi guidelines are a one-page written description of what people should eat, as they have not been disseminated, we chose to use the more accessible MyPlate image to investigate knowledge and awareness of dietary guidelines. This image has also been successfully used in nutrition education and therefore will be of use in any future nutrition education interventions that might be designed. The image represents dietary guidelines in a meal setting that is helpful to for meal composition that has been used by products manufacturers for food promotion, and by nutrition educators to improve eating habit of children and adults 2. They are also used in research studies and clinical settings as a teaching tool, and guidance for assessing diet quality 11, 12, 13, 14. In addition, many registered dietitians/nutritionists use this tool in delivering information to patients 15. The main aim of the image when it was developed was for it to be a usable tool for consumers 16.
Currently there is little research investigating awareness or use of dietary guidelines in Saudi Arabia. The novelty of this research is measuring the nutritional knowledge of Saudi mothers and testing their background of MyPlate and serving sizes guidelines. In addition, we wanted to investigate if knowledge and awareness was linked to the socioeconomic factors of income, education, employment and marital status in the Saudi population. This study will allow us to understand the level of awareness of dietary guideline in Saudi Arabian mothers. This information could help the community to target different population groups when implementing future educational programs. This study was therefore designed to assess how aware Saudi mothers were of current dietary guidelines regarding food groups and portion sizes and to investigate if this awareness was related to sociodemographic factors.
All subjects were recruited from local community events such as fairs or social events at schools targeted at middle to high income. At these events a stand was held where activities and games were present for children. Mothers were attracted by health advices and opportunity to answer their question related to nutrition and health. Mothers were interviewed to answer online questionnaire to fill in on a tablet. The investigator team helped mothers to explain anything unclear in the survey. For this study we used a convenience sample of 101 women as there was no previous research in Saudi Arabia to use as a basis for sample size calculations but also because this study was considered to be pre-liminary and as a precursor for larger more complex studies. Ethical approval from the University’s ethical committee have been approved prior to the study conduction and consent forms have been signed by the mothers prior to the survey responses.
2.2. MeasurementsThe study questionnaire was designed for the purpose of the study although some items were adapted from previous study 18. The knowledge of dietary guideline questionnaire consists of two sections: demographics which include educational background, marital status and income level and dietary guidelines & portion size questions. The survey contains questions asking about subject’s knowledge of the recommended serving amount of each food group based on US recommendation for healthy adults which is supposed to be grain 6-11, vegetables 3-5 serving, fruit 2-4, meat and milk groups 2-3 serving per day based on 2000 calories need per day. Subjects have been asked if they know MyPlate and if they follow it for their dietary intake, colorful picture of the plate have been provided in the survey and finally subjects have been tested their knowledge to recognize MyPlate with appropriate food group. These questions have been adapted form USDA choose my plate quiz to test the knowledge how much of the person’s plate should be each food group 16.
2.3. Statistical AnalysisAnalyses were conducted using IBM SPSS Statistics 21.0 (Armonk, NY, USA). Associations between sociodemographic variables and correct identification of the food groups on My Plate and correct knowledge of recommended of food servings of food groups and whether or not the MyPlate image affected eating choices were examined using the Chi-square statistic. The association between socioeconomic factors and the response to “Do you know about MyPlate” was tested using the Kruksan-Wallis test as there were three possible responses (yes, No or Maybe). For all analyses, significance level was set at alpha level ≤ 0.05.
Sample characteristics are shown in Table 1. The mean age of participants was 33 years old. 70% of the mothers had a college education or higher but only 32% were employed. 41.4% had an income of 10 000 SAR and 58.5 had an income of 10 000 or more. 72.3 % of the women were married. Only 29.1 % of people were aware of the MyPlate guidelines with 41.7 % responding “maybe” they were aware of the guidelines. 51.5 % said the healthy plate always or mostly affected their eating choices.
Table 2 shows the amount of people that correctly identified food groups on the MyPlate image. Figure 1 represent the image that were represented without showing the name groups. Vegetables and milk were food groups that were identified well (58.4 and 61.8 respectively). The other 3 groups were poorly identified (33% or less).
The number of people correctly identifying serving sizes was also low as shown in Table 3. Fruit was the food group that had the highest percentage of people responding correctly (59.8%) and grains was the food group the most poorly identified (8.5 %).
Table 4 - Table 6 show the associations between socioeconomic actors and the knowledge and awareness questions. Education was associated with whether or not MyPlate affected eating choices with those who educated much more likely to have healthy plate influence their eating choices compared to those not college educated. (P=0.001 for Bachelors and above and P = 0.011 for Postgraduate). A significantly greater percentage of those with a postgraduate education were accurate about the correct servings of fruit, vegetables and grains compared to those without a postgraduate education. (P=0.049).
Married women were much more likely to know what MyPlate was (P=0.004) and for it to affect their eating choices compared with unmarried women (P=0.000). There was a significant association between being married and correctly identifying the food group vegetables on the MyPlate image and a significantly greater number of married women also had correct knowledge of the serving size for fruit and milk compared to unmarried women. Having a high income was significantly associated with MyPlate influencing food choices (P=0.053) but otherwise was not associated with any other of the knowledge questions.
A significantly higher percentage of employed people said that healthy plate affected their eating choices compared to unemployed people (P=0.039). Employment did not make a difference to correctly identifying food groups on the MyPlate image or to correctly identifying the serving sizes for food groups apart from the food group protein/meat where a higher percentage of employed people correctly identified serving sizes compared to unemployed people (P=0.059).
This sample of Saudi mothers was young and highly educated with almost 60 % having a high household income and over 70 % were married. The knowledge and awareness of MyPlate was low with only 29.1 % saying they were definitely aware of MyPlate and a further 41.7 responding that they were “maybe” aware of MyPlate. Only 11.2 and 39.8 % of the women said that MyPlate always or mostly affected their eating choices respectively. The number of women correctly identifying food groups on the plate and correctly identifying serving sizes was also low-under 50% for most of the food groups. These finding are in line with the literature 2, 10 including the findings of Scwartz et al who found only 29.6 % of the population in the US was using MyPlate 3. These finding are also in line with the finding that only a very small percentage of Saudi people follow dietary guidelines 7.
Education was not associated with knowledge of Myplate, this may be because overall the Saudi population is not familiar with the MyPlate image. However, educated mothers were much more likely to say that dietary guidelines influenced their choices and a significantly greater percentage of those with a postgraduate education were accurate about the correct servings of fruit, vegetables and grains compared to those without a postgraduate education. Our finding indicate that education is an important factor and merits further exploration. It is well known that education and other socio demographic factors affect health outcomes though less is known about specific nutrition education versus general education level. One study has found that nutrition knowledge was important for healthy food intake independently of education level 19 and some studies have found educated people to have healthier dietary behaviors 20, 21, 22.
Married women were much more likely to know what MyPlate was and for it to affect their eating choices. There was a significant association between being married and correctly identifying the food group vegetables on the MyPlate image and a significantly greater number of married women also had correct knowledge of the serving size for fruit and milk compared to unmarried women. This is consistent with studies that show that being married is linked to eating more fruit and vegetables 22, 23. It has been shown that marriage positively affects health outcomes over the life course 24, 25. The protective effects of marriage include availability of partner’s support; better regulation of health-related behaviors, which may be particularly important for men; and economic benefits, such as partner’s resources support, which may be particularly important for women or pooling of resource 26, 27. It is inconclusive how diet changes with marriage and what effect marriage and having children has on diet and how diet may mediate the protective effects of being married 28, 29. As a high proportion of this sample was married (72%) and the percentage of women married in in Saudi Arabia is not known our findings cannot be generalized to the general population; however further research should include marital status, marital history and changes in marital status and investigate how this impact dietary intake and health so that educational programs can be designed effectively.
Having a high income was significantly associated with MyPlate influencing food choices but otherwise was not associated with any other of the knowledge questions. Some studies have found higher income to be associated with healthier diets 30 and healthier diets cost more. Being able to afford a healthier diet has been shown to be an independent predictor of eating a healthier diet, 21 this may be one reason why those with a higher income were more likely to say MyPlate influenced their food choices; they may have healthier diets and their dietary voices reflect the guidelines presented in MyPlate. It has also been shown that those on welfare in the US would find it hard to afford the diet recommended by MyPlate 31.
Being employed was also significantly associated with Myplate influencing their eating choices compared to unemployed people; it was also significantly associated with correctly identifying the serving size for the food groups Protein Meat. This may be a chance finding and needs to be replicated in future studies. Employment is associated with income and also with socioeconomic class therefore our findings regarding food choices is consistent with the literature. It has been shown that unemployed people, people on benefits/welfare and those of a lower socioeconomic class have a lower intake of fruit and vegetables 23 and less healthy diets overall and worse health related behaviors 32, 33, 34. Furthermore, it has been shown that maternal employments are linked to better infant and young child feeding 35.
One limitation of this study is the low sample size, future studies with a larger sample size can provide greater statistical power and reduce likelihood of type 2 error. Another weakness is the narrow age range and over 70 percent of the women were married so these findings cannot be generalized to the whole Saudi population. Future studies should have a sample that is nationally representative and include different population groups, with diverse sociodemographic characteristics. Another limitation is the use of the American MyPlate logo which Saudi nationals may not be familiar with therefore the assessment of their knowledge of food groups may not be accurate; although using the Saudi written guidelines may have yielded the same results as these are not widely disseminated. A major strength of this study is that is the first study investigating nutrition knowledge in the Saudi population and therefore is highly original research.
In summary, in this sample of Saudi women, nutrition knowledge of food groups and serving sizes was poor. Being educated and being married were associated with greater knowledge. Being married, highly educated, having a high income or being employed were all associated with women saying the MyPlate image influenced food choices. This research provides evidence that nutrition education is needed in the Saudi Arabia and the finding are relevant for future health promotion strategies. The study has also identified sociodemographic groups that possibly may need to be targeted with more attention in future nutrition education programs such as those with low income, lower education level and unmarried women. This study needs to be replicated in a larger sample size in a more nationally representative sample. Future research needs to focus on implementation of nutrition education programs and measuring their effectiveness as well as investigating further the barriers to adopting healthy eating habits in Saudi Arabia.
The authors are very thankful to all the associated personnel in any reference that contributed in/for the purpose of this research.
The authors have no competing interests
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In article | View Article PubMed | ||
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In article | View Article PubMed | ||
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In article | View Article PubMed | ||
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In article | |||
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In article | View Article PubMed | ||
[8] | Lively, K., et al., “Mothers’ self-reported grocery shopping behaviours with their 2- to 7-year-old children: relationship between feeding practices and mothers’ willingness to purchase child-requested nutrient-poor, marketed foods, and fruits and vegetables”, Public Health Nutrition, 20(18): 3343-3348. 2017. | ||
In article | View Article PubMed | ||
[9] | Johnson, C.M., et al., “It's who I am and what we eat. Mothers' food-related identities in family food choice”, Appetite, 57(1): 220-8. 2011. | ||
In article | View Article PubMed | ||
[10] | Uruakpa, F.O., et al., “Awareness and use of MyPlate Guidelines in Making Food Choices”, Procedia Food Science, 2: 180-186. 2013. | ||
In article | View Article | ||
[11] | Brown, O.N., L.E. O'Connor, and D. Savaiano, “Mobile MyPlate: a pilot study using text messaging to provide nutrition education and promote better dietary choices in college students”, J Am Coll Health. 62(5): 320-7. 2014. | ||
In article | View Article PubMed | ||
[12] | D'Adamo, C.R., et al., “Spice MyPlate: Nutrition Education Focusing Upon Spices and Herbs Improved Diet Quality and Attitudes Among Urban High School Students”, Am J Health Promot, 30(5): 346-56. 2016. | ||
In article | View Article PubMed | ||
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In article | View Article PubMed | ||
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In article | View Article PubMed | ||
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In article | |||
[16] | United States Department of Agriculture, C.f.P.a. and Promotion., Development of 2010 Dietary Guidelines for Americans consumer messages and new food icon: Executive summary of formative research 2011. https://choosemyplateprod.azureedge.net/sites/default/files/printab lematerials/ExecutiveSummaryOfFormativeResearch.pdf. Accessed April 16, 2018. | ||
In article | |||
[17] | Farahat, F. M., El-Shafie, M. M., and Waly, I. M. “Food safety knowledge and practices among Saudi women”, Food Control, 47:427-435. 2015 | ||
In article | View Article | ||
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In article | View Article PubMed | ||
[19] | Turrell, G., et al., “Measuring socio-economic position in dietary research: is choice of socio-economic indicator important?” Public Health Nutr, 6(2): 191-200. 2003. | ||
In article | View Article PubMed | ||
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In article | View Article PubMed | ||
[21] | Cade, J., et al., “Costs of a healthy diet: analysis from the UK Women's Cohort Study”, Public Health Nutr, 2(4): 505-12. 1999. | ||
In article | View Article PubMed | ||
[22] | Pollard, J., et al., “Lifestyle factors affecting fruit and vegetable consumption in the UK Women's Cohort Study”, Appetite, 37(1): 71-9. 2001. | ||
In article | View Article PubMed | ||
[23] | Billson, H., J.A. Pryer, and R. Nichols, “Variation in fruit and vegetable consumption among adults in Britain. An analysis from the dietary and nutritional survey of British adults”, Eur J Clin Nutr, 53(12): 946-52. 1999. | ||
In article | View Article PubMed | ||
[24] | Newton, N.J., et al., “Cohort differences in the marriage-health relationship for midlife women”, Soc Sci Med, 116: 64-72. 2014. | ||
In article | View Article PubMed | ||
[25] | Murphy, M., E. Grundy, and S. Kalogirou, “The increase in marital status differences in mortality up to the oldest age in seven European countries, 1990-99”, Popul Stud (Camb), 61(3): 287-98. 2007. | ||
In article | View Article PubMed | ||
[26] | Wyke, S. and G. Ford, “Competing explanations for associations between marital status and health”, Soc Sci Med, 34(5):523-32. 1992. | ||
In article | View Article | ||
[27] | Wilmoth, J. and G. Koso, “Does Marital History Matter? Marital Status and Wealth Outcomes Among Preretirement Adults” Journal of Marriage and Family, 64(1):254-268. 2002. | ||
In article | View Article | ||
[28] | Smith, K.J., et al., “Associations between Partnering and Parenting Transitions and Dietary Habits in Young Adults”, J Acad Nutr Diet, 117(8): 1210-1221. 2017. | ||
In article | View Article PubMed | ||
[29] | Laroche, H.H., et al., “Changes in diet behavior when adults become parents”, J Acad Nutr Diet, 112(6):832-9. 2012. | ||
In article | View Article PubMed | ||
[30] | Lo, Y.T., et al., “Health and nutrition economics: diet costs are associated with diet quality”, Asia Pac J Clin Nutr, 18(4):598-604. 2009. | ||
In article | |||
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In article | View Article PubMed | ||
[32] | Smed, S., et al., “The consequences of unemployment on diet composition and purchase behaviour: a longitudinal study from Denmark”, Public Health Nutr, 21(3):580-592. 2018. | ||
In article | View Article PubMed | ||
[33] | Si Hassen, W., et al., “Socio-economic and demographic factors associated with snacking behavior in a large sample of French adults”, Int J Behav Nutr Phys Act, 15(1): 25. 2018. | ||
In article | View Article PubMed | ||
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In article | View Article PubMed | ||
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In article | View Article PubMed | ||
Published with license by Science and Education Publishing, Copyright © 2020 Noor Hakim, Najlaa Alsini, Hebah Kutbi, Rana Mosli, Noura Eid and UZ Mulla
This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit
https://creativecommons.org/licenses/by/4.0/
[1] | Dickson-Spillmann, M. and M. Siegrist., “Consumers' knowledge of healthy diets and its correlation with dietary behaviour”, J Hum Nutr Diet, 24(1): 54-60. 2011. | ||
In article | View Article PubMed | ||
[2] | Jahns, L., et al., “Recognition of Federal Dietary Guidance Icons Is Associated with Greater Diet Quality”, J Acad Nutr Diet, 118(11): 2120-2127. 2018. | ||
In article | View Article PubMed | ||
[3] | Schwartz, J.L. and J.A. Vernarelli, “Assessing the Public's Comprehension of Dietary Guidelines: Use of MyPyramid or MyPlate Is Associated with Healthier Diets among US Adults”, J Acad Nutr Diet, 119(3): 482-489. 2019. | ||
In article | View Article PubMed | ||
[4] | Wardle, J., K. Parmenter, and J. Waller, “Nutrition knowledge and food intake”, Appetite, 34(3): 269-75. 2000. | ||
In article | View Article PubMed | ||
[5] | Spronk, I., et al., “Relationship between nutrition knowledge and dietary intake”, Br J Nutr, 111(10): 1713-26. 2014. | ||
In article | View Article PubMed | ||
[6] | General Director of Nutrition, M.o.H. and Saudi Dietary Guideline (Healthy Diet Palm). Riyadh: Ministry of Health Publications, (2012). | ||
In article | |||
[7] | Moradi-Lakeh, M., et al., “Diet in Saudi Arabia: findings from a nationally representative survey”, Public Health Nutr, 20(6): 1075-1081. 2017. | ||
In article | View Article PubMed | ||
[8] | Lively, K., et al., “Mothers’ self-reported grocery shopping behaviours with their 2- to 7-year-old children: relationship between feeding practices and mothers’ willingness to purchase child-requested nutrient-poor, marketed foods, and fruits and vegetables”, Public Health Nutrition, 20(18): 3343-3348. 2017. | ||
In article | View Article PubMed | ||
[9] | Johnson, C.M., et al., “It's who I am and what we eat. Mothers' food-related identities in family food choice”, Appetite, 57(1): 220-8. 2011. | ||
In article | View Article PubMed | ||
[10] | Uruakpa, F.O., et al., “Awareness and use of MyPlate Guidelines in Making Food Choices”, Procedia Food Science, 2: 180-186. 2013. | ||
In article | View Article | ||
[11] | Brown, O.N., L.E. O'Connor, and D. Savaiano, “Mobile MyPlate: a pilot study using text messaging to provide nutrition education and promote better dietary choices in college students”, J Am Coll Health. 62(5): 320-7. 2014. | ||
In article | View Article PubMed | ||
[12] | D'Adamo, C.R., et al., “Spice MyPlate: Nutrition Education Focusing Upon Spices and Herbs Improved Diet Quality and Attitudes Among Urban High School Students”, Am J Health Promot, 30(5): 346-56. 2016. | ||
In article | View Article PubMed | ||
[13] | Johnson-Glenberg, M.C. and E.B. Hekler, “Alien Health Game: An Embodied Exergame to Instruct in Nutrition and MyPlate, Games Health J, 2(6): 354-61. 2013. | ||
In article | View Article PubMed | ||
[14] | Proscia, A., Patient education. “MyPlate for healthy eating with chronic kidney disease (MyPlate education for patients with chronic kidney disease receiving hemodialysis and peritoneal dialysis treatment)”, J Ren Nutr, 24(3): 23-5. 2014. | ||
In article | View Article PubMed | ||
[15] | Newswire., P., 15 Top diet trends for 2015. What’s trending in nutrition? Survey of nutrition experts predicts popular trends. 2014. https://www.prnewswire.com/news-releases/15-top-diet-trends- for-2015-300011670.html. 2014. Accessed April 16, 2018. | ||
In article | |||
[16] | United States Department of Agriculture, C.f.P.a. and Promotion., Development of 2010 Dietary Guidelines for Americans consumer messages and new food icon: Executive summary of formative research 2011. https://choosemyplateprod.azureedge.net/sites/default/files/printab lematerials/ExecutiveSummaryOfFormativeResearch.pdf. Accessed April 16, 2018. | ||
In article | |||
[17] | Farahat, F. M., El-Shafie, M. M., and Waly, I. M. “Food safety knowledge and practices among Saudi women”, Food Control, 47:427-435. 2015 | ||
In article | View Article | ||
[18] | Schwartz, J. L. and Vernarelli J. A. “Assessing the Public's Comprehension of Dietary Guidelines: Use of MyPyramid or MyPlate Is Associated with Healthier Diets among US Adults”, J Acad Nutr Diet,119(3): 482- 489. 2019. | ||
In article | View Article PubMed | ||
[19] | Turrell, G., et al., “Measuring socio-economic position in dietary research: is choice of socio-economic indicator important?” Public Health Nutr, 6(2): 191-200. 2003. | ||
In article | View Article PubMed | ||
[20] | Thornton, L.E., J.R. Pearce, and K. Ball, “Sociodemographic factors associated with healthy eating and food security in socio-economically disadvantaged groups in the UK and Victoria, Australia”, Public Health Nutr,17(1): 20-30. 2014. | ||
In article | View Article PubMed | ||
[21] | Cade, J., et al., “Costs of a healthy diet: analysis from the UK Women's Cohort Study”, Public Health Nutr, 2(4): 505-12. 1999. | ||
In article | View Article PubMed | ||
[22] | Pollard, J., et al., “Lifestyle factors affecting fruit and vegetable consumption in the UK Women's Cohort Study”, Appetite, 37(1): 71-9. 2001. | ||
In article | View Article PubMed | ||
[23] | Billson, H., J.A. Pryer, and R. Nichols, “Variation in fruit and vegetable consumption among adults in Britain. An analysis from the dietary and nutritional survey of British adults”, Eur J Clin Nutr, 53(12): 946-52. 1999. | ||
In article | View Article PubMed | ||
[24] | Newton, N.J., et al., “Cohort differences in the marriage-health relationship for midlife women”, Soc Sci Med, 116: 64-72. 2014. | ||
In article | View Article PubMed | ||
[25] | Murphy, M., E. Grundy, and S. Kalogirou, “The increase in marital status differences in mortality up to the oldest age in seven European countries, 1990-99”, Popul Stud (Camb), 61(3): 287-98. 2007. | ||
In article | View Article PubMed | ||
[26] | Wyke, S. and G. Ford, “Competing explanations for associations between marital status and health”, Soc Sci Med, 34(5):523-32. 1992. | ||
In article | View Article | ||
[27] | Wilmoth, J. and G. Koso, “Does Marital History Matter? Marital Status and Wealth Outcomes Among Preretirement Adults” Journal of Marriage and Family, 64(1):254-268. 2002. | ||
In article | View Article | ||
[28] | Smith, K.J., et al., “Associations between Partnering and Parenting Transitions and Dietary Habits in Young Adults”, J Acad Nutr Diet, 117(8): 1210-1221. 2017. | ||
In article | View Article PubMed | ||
[29] | Laroche, H.H., et al., “Changes in diet behavior when adults become parents”, J Acad Nutr Diet, 112(6):832-9. 2012. | ||
In article | View Article PubMed | ||
[30] | Lo, Y.T., et al., “Health and nutrition economics: diet costs are associated with diet quality”, Asia Pac J Clin Nutr, 18(4):598-604. 2009. | ||
In article | |||
[31] | Mulik, K. and L. Haynes-Maslow, “The Affordability of MyPlate: An Analysis of SNAP Benefits and the Actual Cost of Eating According to the Dietary Guidelines”, J Nutr Educ Behav, 49(8): 623-631. 2017. | ||
In article | View Article PubMed | ||
[32] | Smed, S., et al., “The consequences of unemployment on diet composition and purchase behaviour: a longitudinal study from Denmark”, Public Health Nutr, 21(3):580-592. 2018. | ||
In article | View Article PubMed | ||
[33] | Si Hassen, W., et al., “Socio-economic and demographic factors associated with snacking behavior in a large sample of French adults”, Int J Behav Nutr Phys Act, 15(1): 25. 2018. | ||
In article | View Article PubMed | ||
[34] | Stait, E. and M. Calnan, “Are differential consumption patterns in health-related behaviours an explanation for persistent and widening social inequalities in health in England?” Int J Equity Health, 15(1): 171. 2016. | ||
In article | View Article PubMed | ||
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