Skip to main content Accessibility help
×
Home
Hostname: page-component-6c8bd87754-xvt4m Total loading time: 0.192 Render date: 2022-01-17T07:33:54.510Z Has data issue: true Feature Flags: { "shouldUseShareProductTool": true, "shouldUseHypothesis": true, "isUnsiloEnabled": true, "metricsAbstractViews": false, "figures": true, "newCiteModal": false, "newCitedByModal": true, "newEcommerce": true, "newUsageEvents": true }

Past food habit change is related to obesity, lifestyle and socio-economic factors in the Malmo Diet and Cancer Cohort

Published online by Cambridge University Press:  02 January 2007

Emily Sonestedt*
Affiliation:
Department of Clinical Sciences, Lund University, Malmö University Hospital, Malmo Diet and Cancer, Entrance 59, SE-205 02 Malmö, Sweden
Elisabet Wirfält
Affiliation:
Department of Clinical Sciences, Lund University, Malmö University Hospital, Malmo Diet and Cancer, Entrance 59, SE-205 02 Malmö, Sweden
Bo Gullberg
Affiliation:
Department of Clinical Sciences, Lund University, Malmö University Hospital, Malmo Diet and Cancer, Entrance 59, SE-205 02 Malmö, Sweden
Göran Berglund
Affiliation:
Department of Clinical Sciences, Lund University, Malmö University Hospital, Malmo Diet and Cancer, Entrance 59, SE-205 02 Malmö, Sweden
*
*Corresponding author: Email Emily.Sonestedt@med.lu.se
Rights & Permissions[Opens in a new window]

Abstract

HTML view is not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Objectives

To examine if obesity status and socio-economic and lifestyle factors are associated with self-reported past food habit change, and also whether the level of obesity depends on the reason for change.

Design

Cross-sectional analysis within the Malmo Diet and Cancer (MDC) study using data from the baseline examination and the extensive socio-economic and lifestyle questionnaire including questions of past food habit change. The risk of having changed food habits in the past was examined using logistic regression. Mean differences in obesity status across categories of reasons for past food habit change were examined using analysis of variance.

Setting

Malmö, the third largest city in Sweden.

Subjects

A sub-sample (15 282 women and 9867 men) from the MDC cohort recruited from 1992 to 1996.

Results

Individuals with body mass index (BMI) >30 kg m−2 had an increased risk of having reported past food habit change compared with individuals with BMI <25 kg m−2 (odds ratio (OR) = 1.63, 95% confidence interval (CI) = 1.48–1.83 for women; OR = 1.53, 95% CI = 1.32–1.76 for men). The highest level of obesity was observed among individuals who had changed their diet due to reasons related to the metabolic syndrome. Changers were more likely to be highly educated and to live alone, be retired, ex-smokers and non-drinkers at baseline.

Conclusions

Because past food habit change is related to obesity and other lifestyle and socio-economic factors, a complex confounding situation may exist that could seriously influence observed relationships between diet and disease. Studies need to collect information on past food habit change and take this information into account in the analysis and when interpreting study outcomes.

Type
Research Article
Copyright
Copyright © The Authors 2005

References

1World Cancer Research Fund/American Institute for Cancer Research (WCRF/AICR). Food, Nutrition and the Prevention of Cancer: a Global Perspective. London: WCRF/AICR, 1997.Google Scholar
2Hulshof, KF, Brussaard, JH, Kruizinga, AG, Telman, J, Lowik, MR. Socio-economic status, dietary intake and 10 y trends: the Dutch National Food Consumption Survey. European Journal of Clinical Nutrition 2003; 57: 128–37.CrossRefGoogle Scholar
3Mulder, M, Ranchor, AV, Sanderman, R, Bouma, J, van den Heuvel, WJ. The stability of lifestyle behaviour. International Journal of Epidemiology 1998; 27: 199207.CrossRefGoogle ScholarPubMed
4Contento, IR, Murphy, BM. Psycho-social factors differentiating people who reported making desirable changes in their diets from those who did not. Journal of Nutrition Education 1990; 22: 614.CrossRefGoogle Scholar
5Morabia, A, Bernstein, MS, Heritier, S, Beer-Borst, S. A Swiss population-based assessment of dietary habits before and after the March 1996 ‘mad cow disease’ crisis. European Journal of Clinical Nutrition 1999; 53: 158–63CrossRefGoogle ScholarPubMed
6Patterson, RE, Kristal, AR, White, E. Do beliefs, knowledge, and perceived norms about diet and cancer predict dietary change? American Journal of Public Health 1996; 86: 1394–400.CrossRefGoogle ScholarPubMed
7Harnack, LJ, Jeffery, RW, Boutelle, KN. Temporal trends in energy intake in the United States: an ecologic perspective. American Journal of Clinical Nutrition 2000; 71: 1478–84.CrossRefGoogle Scholar
8Southgate, DAT. Dietary change: changing patterns of eating. In: Meiselman, HL, MacFie, HJH, eds. Food Choice Acceptance and Consumption. London: Blackie Academic & Professional, 1996; 365–91.CrossRefGoogle Scholar
9Senauer, B, Asp, E, Kinsey, J. Food Trends and the Changing Consumer. St. Paul, MN: Eagan Press, 1991.Google Scholar
10Edwards, JSA, Meiselman, HL. Changes in dietary habits during the first year at university. Nutrition Foundation Nutrition Bulletin 2003; 28: 2134.CrossRefGoogle Scholar
11Wirfalt, E, Mattisson, I, Gullberg, B, Berglund, G. Food patterns defined by cluster analysis and their utility as dietary exposure variables: a report from the Malmo Diet and Cancer Study. Public Health Nutrition 2000; 3: 159–73.CrossRefGoogle Scholar
12Key, TJ, Schatzkin, A, Willett, WC, Allen, NE, Spencer, EA, Travis, RC. Diet, nutrition and the prevention of cancer. Public Health Nutrition 2004; 7: 187200.CrossRefGoogle ScholarPubMed
13Hill, JO, Melanson, EL, Wyatt, HT. Dietary fat intake and regulation of energy balance: implications for obesity. Journal of Nutrition 2000; 130: 284S–8S.CrossRefGoogle ScholarPubMed
14Berglund, G, Elmstahl, S, Janzon, L, Larsson, SA. The Malmo Diet and Cancer Study. Design and feasibility. Journal of Internal Medicine 1993; 233: 4551.CrossRefGoogle Scholar
15Manjer, J, Carlsson, S, Elmstahl, S, Gullberg, B, Janzon, L, Lindstrom, M, et al. The Malmo Diet and Cancer Study: representativity, cancer incidence and mortality in participants and non-participants. European Journal of Cancer Prevention 2001; 10: 489–99.CrossRefGoogle Scholar
16World Health Organization (WHO). Obesity: Preventing and Managing the Global Epidemic. Report of a WHO Consultation. Geneva: WHO, 2000.Google Scholar
17Lean, ME, Han, TS, Morrison, CE. Waist circumference as a measure for indicating need for weight management. British Medical Journal 1995; 311: 158–61.CrossRefGoogle ScholarPubMed
18Statistics Sweden. Occupations in Population and Housing Census 1985 (FoB 1985) According to Nordic Standard Occupation Classification and Swedish Socioeconomic Classification. Stockholm: Statistics Sweden, 1989.Google Scholar
19Wirfalt, E, Mattisson, I, Johansson, U, Gullberg, B, Wallstrom, P, Berglund, G. A methodological report from the Malmo Diet and Cancer study: development and evaluation of altered routines in dietary data processing. Nutrition Journal 2002; 1: 3.CrossRefGoogle Scholar
20Royal College of Psychiatrists. Alcohol: Our Favourite Drug. London: Tavistock, 1986.Google Scholar
21Kristal, AR, Hedderson, MM, Patterson, RE, Neuhouser, M, Neuhauser, ML. Predictors of self-initiated, healthful dietary change. Journal of the American Dietetic Association 2001; 101: 762–6.CrossRefGoogle ScholarPubMed
22Fagerli, RA, Wandel, M. Gender differences in opinions and practices with regard to a ‘healthy diet’. Appetite 1999; 32: 171–90.CrossRefGoogle Scholar
23Satia, JA, Kristal, AR, Curry, S, Trudeau, E. Motivations for healthful dietary change. Public Health Nutrition 2001; 4: 953–9.CrossRefGoogle ScholarPubMed
24Hankey, CR, Leslie, WS, Lean, ME. Why lose weight? Reasons for seeking weight loss by overweight but otherwise healthy men. International Journal of Obesity and Related Metabolic Disorders 2002; 26: 880–2.CrossRefGoogle ScholarPubMed
25Klem, ML, Wing, RR, McGuire, MT, Seagle, HM, Hill, JO. A descriptive study of individuals successful at long-term maintenance of substantial weight loss. American Journal of Clinical Nutrition 1997; 66: 239–46.CrossRefGoogle ScholarPubMed
26Parmenter, K, Waller, J, Wardle, J. Demographic variation in nutrition knowledge in England. Health Education Research 2000; 15: 163–74.CrossRefGoogle ScholarPubMed
27Groth, MV, Fagt, S, Brondsted, L. Social determinants of dietary habits in Denmark. European Journal of Clinical Nutrition 2001; 55: 959–66.CrossRefGoogle ScholarPubMed
28Lopez-Azpiazu, I, Martinez-Gonzalez, MA, Leon-Mateos, A, Kearney, J, Gibney, M, Martinez, JA. Stages of dietary change and nutrition attitudes in the Spanish population. Public Health 2000; 114: 183–9.CrossRefGoogle ScholarPubMed
29Kearney, M, Kearney, J, Dunne, A, Gibney, M. Sociodemographic determinants of perceived influences on food choice in a nationally representative sample of Irish adults. Public Health Nutrition 2000; 3: 219–26.CrossRefGoogle Scholar
30Kocturk, T. Structure and change in food habits. Scandinavian Journal of Nutrition/Näringsforskning 1996; 40: S108–10.Google Scholar
31Laaksonen, M, Prattala, R, Karisto, A. Patterns of unhealthy behaviour in Finland. European Journal of Public Health 2001; 11: 294300.CrossRefGoogle ScholarPubMed
32Berrigan, D, Dodd, K, Troiano, RP, Krebs-Smith, SM, Barbash, RB. Patterns of health behavior in US adults. Preventive Medicine 2003; 36: 615–23.CrossRefGoogle Scholar
33Wardle, J, Johnson, F. Weight and dieting: examining levels of weight concern in British adults. International Journal of Obesity and Related Metabolic Disorders 2002; 26: 1144–9.CrossRefGoogle ScholarPubMed
34Lissner, L. Measuring food intake in studies of obesity. Public Health Nutrition 2002; 5: 889–92.CrossRefGoogle ScholarPubMed
35Patterson, RE, Neuhouser, ML, Hedderson, MM, Schwartz, SM, Standish, LJ, Bowen, DJ. Changes in diet, physical activity, and supplement use among adults diagnosed with cancer. Journal of the American Dietetic Association 2003; 103: 323–8.Google ScholarPubMed
36Maskarinec, G, Murphy, S, Shumay, DM, Kakai, H. Dietary changes among cancer survivors. European Journal of Cancer Care 2001; 10: 1220.CrossRefGoogle ScholarPubMed
37Newens, AJ, McColl, E, Bond, S. Changes in reported dietary habit and exercise levels after an uncomplicated first myocardial infarction in middle-aged men. Journal of Clinical Nursing 1997; 6: 153–60.CrossRefGoogle ScholarPubMed
38Dye, CJ, Haley-Zitlin, V, Willoughby, D. Insights from older adults with type 2 diabetes: making dietary and exercise changes. Diabetes Education 2003; 29: 116–27.CrossRefGoogle ScholarPubMed
39Franz, MJ, Bantle, JP, Beebe, CA, Brunzell, JD, Chiasson, JL, Garg, A, et al. Nutrition principles and recommendations in diabetes. Diabetes Care 2004; 27(Suppl. 1): S3646.Google ScholarPubMed
40Tamm, A. Management of lactose intolerance. Scandinavian Journal of Gastroenterology Supplement 1994; 202: 5563.CrossRefGoogle ScholarPubMed
41Arnold, MS, Funnell, MM, Herman, WH, Brown, MB, Merritt, JH, Fogler, JM, et al. Discrepancies between perceived dietary changes and 4-day food records in older adults with diabetes. Journal of the American Dietetic Association 1996; 96: 705–7.CrossRefGoogle ScholarPubMed
42Wirfalt, E, Mattisson, I, Gullberg, B, Johansson, U, Olsson, H, Berglund, G. Postmenopausal breast cancer is associated with high intakes of omega6 fatty acids (Sweden). Cancer Causes & Control 2002; 13: 883–93.CrossRefGoogle Scholar
You have Access
36
Cited by

Send article to Kindle

To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Past food habit change is related to obesity, lifestyle and socio-economic factors in the Malmo Diet and Cancer Cohort
Available formats
×

Send article to Dropbox

To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

Past food habit change is related to obesity, lifestyle and socio-economic factors in the Malmo Diet and Cancer Cohort
Available formats
×

Send article to Google Drive

To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

Past food habit change is related to obesity, lifestyle and socio-economic factors in the Malmo Diet and Cancer Cohort
Available formats
×
×

Reply to: Submit a response

Please enter your response.

Your details

Please enter a valid email address.

Conflicting interests

Do you have any conflicting interests? *