Dietary patterns and socioeconomic status in the very old: The newcastle 85+ study

PLoS ONE

Volumn 10, Issue 10, 2015, Pages

  Granic, Antoneta ^a   Davies, Karen ^a   Adamson, Ashley ^a   Kirkwood, Thomas ^a   Hill, Tom R ^a,b   Siervo, Mario ^a   Mathers, John C ^a   Jagger, Carol ^a  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b NEWCASTLE UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; BODY MASS; BUTTER; DIET; DISABLED PERSON; EDUCATION; HUMAN; LIFESTYLE; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MENTAL CAPACITY; MODEL; RECALL; RED MEAT; SOCIAL STATUS; VERY ELDERLY; AGE; BLOOD; COHORT ANALYSIS; FEMALE; FOOD PREFERENCE; MALE; MEAT; PROSPECTIVE STUDY; SOCIAL CLASS; SOCIOECONOMICS;

LIPID;

AGE FACTORS; AGED, 80 AND OVER; COHORT STUDIES; DIET; FEMALE; FOOD PREFERENCES; HUMANS; LIFE STYLE; LIPIDS; MALE; MEAT; PROSPECTIVE STUDIES; SOCIAL CLASS; SOCIOECONOMIC FACTORS;

EID: 84949680547     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0139713     Document Type: Article

References (54)

1. Sofi F, Macchi C, Abbate R, Gensini GF, Casini A. Mediterranean diet and health status: an updated meta-analysis and a proposal for a literature-based adherence score. Public Health Nutr 2014; 17: 2769-2782. doi: 10.1017/S1368980013003169 PMID: 24476641
2. Siervo M, Lara H, Chowdhury S, Ashor A, Oggioni C, Mathers JC. Effects of the Dietary Approach to Stop Hypertension (DASH) diet on cardiovascular risk factors: a systematic review and meta-analysis. Br J Nutr 2014 Nov 28: 1-15. doi: 10.1017/S0007114514003341
3. Atkins J, Whincup PH, Morris RW, Lennon LT, Papacosta O, Wannamethee SG. High diet quality is associated with a lower risk of cardiovascular disease and all-cause mortality in older men. J Nurt 2014; 144: 673-680.
4. Larsson SC, Akesson A, Wolk A. Healthy diet and lifestyle and risk of stroke in a prospective cohort of women. Neurology 2014; 83: 1699-1704. doi: 10.1212/WNL.0000000000000954 PMID: 25298305
5. Tangney CC, Li H, Wang Y, Barnes L, Schneider JA, Bennett DA, et al. Relation of DASH- and Mediterranean-like dietary patterns to cognitive decline in older persons. Neurology 2014; 83: 1410-1416. doi: 10.1212/WNL.0000000000000884 PMID: 25230996
6. Gu Y, Scarmeas N. Dietary patterns in Alzheimer's disease and cognitive aging. Curr Alzheimer Res 2011; 8: 510-519. PMID: 21605048
7. Reedy J, Krebs-Smith SM, Miller PE, Liese AD, Kahle LL, Park Y, et al. Higher diet quality is associated with decreased risk of all-cause, cardiovascular disease, and cancer mortality among older adults. J Nutr 2014; 144: 881-889. doi: 10.3945/jn.113.189407 PMID: 24572039
8. Jankovic N, Geelen A, Streppel MT, de Groot LC, Orfanos P, van den Hooven EH, et al. Adherence to a healthy diet according to the World Health Organization guidelines and all-cause mortality in elderly adults from Europe and the United States. Am J Epidemiol 2014; 180: 978-988. doi: 10.1093/aje/ kwu229 PMID: 25318818
9. Anderson AL, Harris TB, Tylavsky FA, Perry SE, Houston DK, Hue TF, et al. Dietary patterns and survival in older adults. J Am Diet Assoc 2011; 111: 84-91. doi: 10.1016/j.jada.2010.10.012 PMID: 21185969
10. Bamia C, Orfanos P, Ferrari P, Overvad K, Hundborg HH, Tjønneland A, et al. Dietary patterns among elderly Europeans: the EPIC-Elderly study. Br J Nutr 2005; 94: 100-113. PMID: 16115339
11. Willcox DC, Scapagnini G, Willcox BJ. Healthy aging diets other than the Mediterranean: a focus on the Okinawan diet. Mech Ageing Dev 2014; 136-137: 148-162. doi: 10.1016/j.mad.2014.01.002 PMID: 24462788
12. Hsiao PY, Mitchell DC, Coffman DL, Allman RM, Locher JL, Sawyer P, et al. Dietary patterns and diet quality among diverse older adults: The University of Alabama at Birmingham Study of Aging. J Nutr Health Aging 2013; 17: 19-25. doi: 10.1007/s12603-012-0082-4 PMID: 23299373
13. Corrêa Leite ML, Nicolosi A, Cristina S, Hauser WA, Pugliese P, Nappi G. Dietary and nutritional patterns in an elderly rural population in Northern and Southern Italy: (I). A cluster analysis of food composition. Eur J Clin Nutr 2003; 57: 1514-1521. PMID: 14647215
14. Shatenstein B, Gauvin L, Keller H, Richard L, Gaudreau P, Giroux F, et al. Baseline determinants of global diet quality in older men and women from the NuAge cohort. J Nutr Health Aging 2013; 17: 419-425. doi: 10.1007/s12603-012-0436-y PMID: 23636542
15. Payette H, Shatenstein B. Determinants of healthy eating in community-dwelling elderly people. Can J Public Health 2005; 96 Suppl 3: S27-31, S30-5. PMID: 16042161
16. Larrieu S, Letenneur L, Berr C, Dartigues JF, Ritchie K, Alperovitch A, et al. Sociodemographic differences in dietary habits in a population-based sample of elderly subjects: the 3C study. J Nutr Health Aging 2014; 8: 497-502.
17. Conklin AI, Forouhi, Surtees P, Khaw K-T, Wareham NJ, Monsivais P. Social relationship and healthful dietary behaviour: Evidence from over-50s in the EPIC cohort, UK. Soc Sci Med 2014; 100: 167-175. doi: 10.1016/j.socscimed.2013.08.018 PMID: 24035440
18. Hiza AB, Casavale KO, Guenther PM, Davis C. Diet quality of Americans differs by age, sex, race/ethnicity, income, and education level. J Acad Nutr Diet 2012; 113: 297-306. doi: 10.1016/j.jand.2012.08. 011 PMID: 23168270
19. Finger JD, Tylleskär T, Lampert T, Mensink GBM. Dietary behaviour and socioeconomic position: The role of physical activity patterns. PloS ONE 2013; 8: e78390. doi: 10.1371/journal.pone.0078390 PMID: 24223150
20. Deierlein AL, Morland KB, Scanlin K, Wong S, Spark A. Diet quality of urban older adults age 60 to 99 years: The Cardiovascular Seniors and Built Environment Study. J Acad Nutr Diet 2013; 114: 279-287. doi: 10.1016/j.jand.2013.09.002 PMID: 24262516
21. Lalluka T, Laaksonen M, Rahkonen O, Roos E, Lahelma E. Multiple socio-economic circumstances and healthy food habits. Eur J Clin Nutr 2007; 61: 701-710. PMID: 17180154
22. Mullie P, Clarys P, Hulens M, Vansant G. Dietary patters and socioeconomic position. Eur J Clin Nutr 2010; 64: 231-238. doi: 10.1038/ejcn.2009.145 PMID: 20087378
23. Dynesen AW, Haraldsdóttir J, Holm L, Astrup A. Sociodemographic differences in dietary habits described by food frequency questions-results from Denmark. Eur J Clin Nutr 2003; 57: 1586-1597. PMID: 14647224
24. Galobardes B, Morabia A, Bernstein MS. Diet and socioeconomic position: does the use of different indicators matter? Int J Epidemiol 2001; 30: 334-340. PMID: 11369739
25. Shahar D, Shai I, Vardi H, Shahar A, Fraser D. Diet and eating habits in high and low socioeconomic groups. Nutrition 2004; 21: 559-566.
26. Hu FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipid 2002; 13: 3-9.
27. Kant AK. Dietary patterns and health outcomes. J Am Diet Assoc 2004; 104: 615-635. PMID: 15054348
28. Slattery M. Analysis of dietary patterns in epidemiological research. Appl Physiol Nutr Metab 2010; 35: 207-210. doi: 10.1139/H10-006 PMID: 20383234
29. Newby PK, Tucker KL. Empirically derived eating patterns using factor or cluster analysis: A review. Nutr Rev 2004; 62: 177-203. PMID: 15212319
30. Collerton J, Barrass K, Bond J, Eccles M, Jagger C, James O, et al. The Newcastle 85+ study: biological, clinical and psychological factors associated with healthy ageing: study protocol. BMC Geriatrics 2007; 7: 14. PMID: 17594470
31. Collerton J, Davies K, Jagger C, Kingston A, Bond J, Eccles MP, et al. Health and disease in 85 year olds: baseline findings from the Newcastle 85+ cohort study. BMJ 2009; 339: b4904. doi: 10.1136/bmj. b4904 PMID: 20028777
32. Nelson M, Erens B, Bates B, Church S, Boshier T. Low Income Diet and Nutrition Survey. London: Food Standards Agency, HMSO; 2007.
33. Adamson AJ, Collerton J, Davies K, Foster E, Jagger C, Stamp E, et al. Nutrition in advanced age: dietary assessment in the Newcastle 85+ study. Eur J Clin Nutr 2009; 63 Suppl 1: S6-S18. doi: 10.1038/ ejcn.2008.60 PMID: 19190647
34. Moshfegh AJ, Rhodes DG, Baer DJ, Murayi T, Clemens JC, Rumpler WV, et al. The US Department of Agriculture Automated Multiple-Pass Method reduces bias in the collection of energy intakes. Am J Clin Nutr 2008; 88: 324-332. PMID: 18689367
35. Nelson M, Atkinson M, and Meyer J. A Photographic Atlas of Food Portions Sizes. London: MAFF publications; 1997.
36. Food Standards Agency. McCance and Widdowson's the composition of foods, sixth summary edition. Cambridge: Royal Society of Chemistry; 2002.
37. Chandola T, Jenkinson C. The new UK National Statistics Socio-Economic Classification (NS-SEC); investigating social class differences in self-reported health status. J Public Health Med 2000; 22: 182-190. PMID: 10912557
38. Noble M, Wright G, Dibben C, Smith GAN, McLennan D, Anttila C, et al. The English Indices of Deprivation 2004. London: Office of the Deputy Prime Minister. 2004. Available: www.communities.gov.uk/ publications/communities/englishindices. Accessed 12 October 2014.
39. Molloy DW, Standish TI. A guide to standardize Mini-Mental State Examination. Int Psychogeriatr 1997; 9: 87-94. PMID: 9447431
40. th ACM SIGKDD international conference on knowledge discovery and data mining; 2001. pp. 263-268.
41. Bacher J, Wenzig K, Vogler M. SPSS two-step cluster-a first evaluation. In: RC33 sixth international conference on social science methodology: Recent developments and applications in social research methodology. Amsterdam; 2004.
42. Everitt BS, Landau S, Leese M. Clustering analysis. London: Arnold; 2001.
43. Romesburg HC. Clustering analysis for researchers. Morrisville, NC: Lulu Press; 2004.
44. Martin-Ruiz C, Jagger C, Kingston A, Collerton J, Catt M, Davies K, et al. Assessment of a large panel of candidate biomarkers of ageing in the Newcastle 85+ study. Mech Ageing Dev 2011; 132: 496-502. doi: 10.1016/j.mad.2011.08.001 PMID: 21864562
45. Devlin UM, McNulty BA, Nugent AP, Gibney MJ. The use of cluster analysis to derive dietary patterns: methodological consideration, reproducibility, validity and the effect of energy mis-reporting. Proc Nutr Soc 2012; 71: 599-609. doi: 10.1017/S0029665112000729 PMID: 22863306
46. Pryer JA, Cook A, Shetty P. Identification of groups who report similar pattern of diet among a representative national sample of British adults aged 65 years of age and more. Public Health Nutr 2001; 4: 787-795. PMID: 11415486
47. 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 2001; 6: 191-200.
48. Dupre ME. Educational differences in age-related patterns of disease: reconsidering the cumulative disadvantage and age-as-leveler hypothesis. J Health Sci Behav 2007; 48: 1.
49. Mirowsky J, Ross CE. Education, personal control, lifestyle and health: A human capital hypothesis. Res Aging 1998; 20: 415-449.
50. Reynolds JR, Ross CE. Social stratification and health: Education's benefit beyond economic status and social origins. Soc Probl 1998; 45: 221-247.
51. Celis-Morales C, Lara J, Mathers JC. Personalising nutritional guidance for more effective behaviour change. Proc Nutr Soc 2014 Dec 12:1-9. doi: 10.1017/S0029665114001633
52. Lara J, McCrum LA, Mathers JC. Association of Mediterranean diet and other health behaviours with barriers to healthy eating and perceived health among British adults of retirement age. Maturitas 2014; 79: 292-298. doi: 10.1016/j.maturitas.2014.07.003 PMID: 25096829
53. Penn L, Boeing H, Boushey CJ, Dragsted LO, Kaput J, Scalbert A, et al. Assessment of dietary intake: NuGO symposium report. Genes Nutr 2010; 5: 205-213. doi: 10.1007/s12263-010-0175-9 PMID: 21052527
54. Beckmann M, Lloyd AJ, Haldar S, Favé G, Seal CJ, Brandt K, et al. Dietary exposure biomarker-lead discovery based on metabolomics analysis of urine samples. Proc Nutr Soc 72: 352-361. doi: 10. 1017/S0029665113001237 PMID: 23632011