Individual and Collective Factors Predicting Change in Diet Quality over 3 years in a Subset of Older Men and Women from the NuAge Cohort

Overview

Journal Eur J Nutr

Specialty Nutritional Sciences

Date 2015 Jul 15

PMID 26169872

Citations 10

Authors

Bryna Shatenstein

Lise Gauvin

Heather Keller

Lucie Richard

Pierrette Gaudreau

Francine Giroux

Mira Jabbour

Jose A Morais

Helene Payette

Affiliations

Soon will be listed here.

Abstract

Purpose: This study examined individual and collective factors as predictors of change in global diet quality (DQ).

Methods: Subjects were 373 older adults (57 % female) aged 68-82 years at recruitment (T1) into the NuAge Cohort Study, and followed for three years. Data were collected by questionnaires, physical performance tests and anthropometric measurements. Diet was assessed at T1 and T4 using three non-consecutive 24-h diet recalls (24HR) and DQ (Canadian Healthy Eating Index), and was computed on the means of the 24HR. DQ change over three years was determined as "DQT4-DQT1". Baseline (T1) measures significantly correlated with DQ at T1 were entered into backward stepwise linear regression analyses along with selected theoretical constructs and controlled for baseline DQ to determine predictors of change in DQ over 3 years.

Results: Among men, education (p = .009) and sensations of hunger (p = .01) were positive predictors of DQ change over time, while DQ at T1 (p < .0001), cognition (p = .003) and social network (p = .019) were negative predictors (adjusted R (2) = 30.4 %). Finally, among women, diet knowledge (p = .044) was a positive predictor of DQ change, while DQ at T1 (p < .0001) and social network (p = .033) were negative predictors of DQ change over 3 years (adjusted R (2) = 24.1 %).

Conclusions: These results can inform dietary intervention programmes targeting gender-specific determinants of diet quality in older adults.

Citing Articles

Risk of Social Isolation as a Contributing Factor to Diet Quality in Community-Dwelling Older Persons Living in the Australian Capital Territory-A Pilot Study.

Low E, DCunha N, Georgousopoulou E, Naumovski N, Bacon R, Isbel S Healthcare (Basel). 2024; 12(5).

PMID: 38470650 PMC: 10930706. DOI: 10.3390/healthcare12050539.

Diet Quality Changes by Educational Level among Adults in Spain from 2017 to 2021.

Romero I, Diez J, Del Cura I, Franco M, Gullon P, The Heart Healthy Hoods Study Group Nutrients. 2023; 15(4).

PMID: 36839216 PMC: 9961002. DOI: 10.3390/nu15040858.

Multidimensional associations between nutrient intake and healthy ageing in humans.

Senior A, Legault V, Lavoie F, Presse N, Gaudreau P, Turcot V BMC Biol. 2022; 20(1):196.

PMID: 36050730 PMC: 9438070. DOI: 10.1186/s12915-022-01395-z.

Beyond the Individual -A Scoping Review and Bibliometric Mapping of Ecological Determinants of Eating Behavior in Older Adults.

Montez De Sousa I, Bergheim I, Brombach C Public Health Rev. 2022; 43:1604967.

PMID: 35992753 PMC: 9381692. DOI: 10.3389/phrs.2022.1604967.

Psychometric evaluation of three-factor eating questionnaire -R18 in aging Finnish men with increased risk for type 2 diabetes.

Malkki-Keinanen K, Lankinen M, Karhunen L, Schwab U Nutr Health. 2022; 30(2):279-290.

PMID: 35816365 PMC: 11141102. DOI: 10.1177/02601060221112178.

References

Donkin A, Johnson A, Morgan K, Neale R, Page R, Silburn R . Gender and living alone as determinants of fruit and vegetable consumption among the elderly living at home in urban Nottingham. Appetite. 1998; 30(1):39-51. DOI: 10.1006/appe.1997.0110. View

de Groot L, Verheijden M, de Henauw S, Schroll M, van Staveren W . Lifestyle, nutritional status, health, and mortality in elderly people across Europe: a review of the longitudinal results of the SENECA study. J Gerontol A Biol Sci Med Sci. 2005; 59(12):1277-84. DOI: 10.1093/gerona/59.12.1277. View

Parrott M, Shatenstein B, Ferland G, Payette H, Morais J, Belleville S . Relationship between diet quality and cognition depends on socioeconomic position in healthy older adults. J Nutr. 2013; 143(11):1767-73. DOI: 10.3945/jn.113.181115. View

Shatenstein B, Gauvin L, Keller H, Richard L, Gaudreau P, Giroux F . Baseline determinants of global diet quality in older men and women from the NuAge cohort. J Nutr Health Aging. 2013; 17(5):419-25. DOI: 10.1007/s12603-012-0436-y. View

Cullen P, Abid F, Patel A, Coope B, Ballard C . Eating disorders in dementia. Int J Geriatr Psychiatry. 1997; 12(5):559-62. View

Sahyoun N, Zhang X . Dietary quality and social contact among a nationally representative sample of the older adult population in the United States. J Nutr Health Aging. 2005; 9(3):177-83. View

Shatenstein B, Nadon S, Ferland G . Determinants of diet quality among Quebecers aged 55-74. J Nutr Health Aging. 2004; 8(2):83-91. View

Deierlein A, Morland K, Scanlin K, Wong S, Spark A . Diet quality of urban older adults age 60 to 99 years: the Cardiovascular Health of Seniors and Built Environment Study. J Acad Nutr Diet. 2013; 114(2):279-287. PMC: 3946974. DOI: 10.1016/j.jand.2013.09.002. View

Vesnaver E, Keller H . Social influences and eating behavior in later life: a review. J Nutr Gerontol Geriatr. 2013; 30(1):2-23. DOI: 10.1080/01639366.2011.545038. View

10.

Jones C, Rikli R, Beam W . A 30-s chair-stand test as a measure of lower body strength in community-residing older adults. Res Q Exerc Sport. 1999; 70(2):113-9. DOI: 10.1080/02701367.1999.10608028. View

11.

Laukkanen P, Heikkinen E, Kauppinen M . Muscle strength and mobility as predictors of survival in 75-84-year-old people. Age Ageing. 1995; 24(6):468-73. DOI: 10.1093/ageing/24.6.468. View

12.

Mercille G, Richard L, Gauvin L, Kestens Y, Shatenstein B, Daniel M . Associations between residential food environment and dietary patterns in urban-dwelling older adults: results from the VoisiNuAge study. Public Health Nutr. 2012; 15(11):2026-39. PMC: 10271342. DOI: 10.1017/S136898001200273X. View

13.

Riviere S, Gillette-Guyonnet S, Voisin T, Reynish E, Andrieu S, Lauque S . A nutritional education program could prevent weight loss and slow cognitive decline in Alzheimer's disease. J Nutr Health Aging. 2001; 5(4):295-9. View

14.

Holmes B, Roberts C . Diet quality and the influence of social and physical factors on food consumption and nutrient intake in materially deprived older people. Eur J Clin Nutr. 2011; 65(4):538-45. DOI: 10.1038/ejcn.2010.293. View

15.

Drewnowski A, Shultz J . Impact of aging on eating behaviors, food choices, nutrition, and health status. J Nutr Health Aging. 2001; 5(2):75-9. View

16.

Slade G, Spencer A . Development and evaluation of the Oral Health Impact Profile. Community Dent Health. 1994; 11(1):3-11. View

17.

Washburn R, McAuley E, Katula J, Mihalko S, Boileau R . The physical activity scale for the elderly (PASE): evidence for validity. J Clin Epidemiol. 1999; 52(7):643-51. DOI: 10.1016/s0895-4356(99)00049-9. View

18.

Shatenstein B, Ferland G, Belleville S, Gray-Donald K, Kergoat M, Morais J . Diet quality and cognition among older adults from the NuAge study. Exp Gerontol. 2012; 47(5):353-60. DOI: 10.1016/j.exger.2012.02.002. View

19.

Ware Jr J, Sherbourne C . The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992; 30(6):473-83. View

20.

Plouffe L . Addressing social and gender inequalities in health among seniors in Canada. Cad Saude Publica. 2003; 19(3):855-60. DOI: 10.1590/s0102-311x2003000300018. View