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Prospective associations between diet quality and health-related quality of life in the Australian Diabetes, Obesity and Lifestyle (AusDiab) study

Published online by Cambridge University Press:  21 September 2022

Leong-Hwee Ng
Affiliation:
Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3220, Australia
Michael Hart
Affiliation:
Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3220, Australia
Sara E. Dingle
Affiliation:
Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3220, Australia
Catherine M. Milte
Affiliation:
Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3220, Australia
Katherine M. Livingstone
Affiliation:
Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3220, Australia
Jonathan E. Shaw
Affiliation:
Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
Dianna J. Magliano
Affiliation:
Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
Sarah A. McNaughton
Affiliation:
Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3220, Australia
Susan J. Torres*
Affiliation:
Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC 3220, Australia
*
* Corresponding author: Dr S. J. Torres, email susan.torres@deakin.edu.au

Abstract

Changes between diet quality and health-related quality of life (HR-QoL) over 12 years were examined in men and women, in 2844 adults (46 % males; mean age 47·3 (sd 9·7) years) from the Australian Diabetes, Obesity and Lifestyle study with data at baseline, 5 and 12 years. Dietary intake was assessed with a seventy-four-item FFQ. Diet quality was estimated with the Dietary Guideline Index, Mediterranean-Dietary Approaches to Stop Hypertension Diet Intervention for Neurological Delay Index (MIND) and Dietary Inflammatory Index. HR-QoL in terms of global, physical component summary (PCS) and mental component summary (MCS) was assessed with the Short-Form Health Survey-36. Fixed effects regression models adjusted for confounders were performed. Mean MCS increased from baseline (49·0, sd 9·3) to year 12 (50·7, sd 9·1), whereas mean PCS decreased from baseline (51·7, sd 7·4) to year 12 (49·5, sd 8·6). For the total sample, an improvement in MIND was associated with an improvement in global QoL (β = 0·28, 95 % CI (0·007, 0·55)). In men, an improvement in MIND was associated with an improvement in global QoL (β = 0·28, 95 % CI (0·0004, 0·55)). In women, improvement in MIND was associated with improvements in global QoL (β = 0·62 95 % CI (0·38, 0·85)), MCS (β = 0·75, 95 % CI (0·29, 1·22)) and PCS (β = 0·75, 95 % CI (0·29, 1·22)). Positive changes in diet quality were associated with broad improvements in HR-QoL, and most benefits were observed in women when compared to men. These findings support the need for strategies to assist the population in consuming healthy dietary patterns to lead to improvements in HR-QoL.

Type
Research Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Nutrition Society

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References

Cosco, TD, Howse, K & Brayne, C (2017) Healthy ageing, resilience and wellbeing. Epidemiol Psychiatr Sci 26, 579583.CrossRefGoogle ScholarPubMed
The WHOQOL Group (1995) The World Health Organization quality of life assessment (WHOQOL): position paper from the World Health Organization. Soc Sci Med 41, 14031409.CrossRefGoogle Scholar
Hu, FB (2002) Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 13, 39.CrossRefGoogle ScholarPubMed
Wirt, A & Collins, CE (2009) Diet quality – what is it and does it matter? Public Health Nutr 12, 24732492.CrossRefGoogle ScholarPubMed
Newby, PK & Tucker, KL (2004) Empirically derived eating patterns using factor or cluster analysis: a review. Nutr Rev 62, 177203.CrossRefGoogle ScholarPubMed
Burggraf, C, Teuber, R, Brosig, S, et al. (2018) Review of a priori dietary quality indices in relation to their construction criteria. Nutr Rev 76, 747764.CrossRefGoogle ScholarPubMed
McNaughton, SA, Ball, K, Crawford, D, et al. (2008) An index of diet and eating patterns is a valid measure of diet quality in an Australian population. J Nutr 138, 8693.CrossRefGoogle Scholar
Lee, JE, Kim, YJ, Park, HJ, et al. (2019) Association of recommended food score with depression, anxiety, and quality of life in Korean adults: the 2014–2015 national fitness award project. BMC Public Health 19, 956.CrossRefGoogle ScholarPubMed
Morris, MC, Tangney, CC, Wang, Y, et al. (2015) MIND diet slows cognitive decline with aging. Alzheimers Dement 11, 10151022.CrossRefGoogle ScholarPubMed
Cherian, L, Wang, Y, Holland, T, et al. (2021) DASH and Mediterranean-dash intervention for neurodegenerative delay (MIND) diets are associated with fewer depressive symptoms over time. J Gerontol A Biol Sci Med Sci 76, 151156.CrossRefGoogle ScholarPubMed
Hosking, DE, Eramudugolla, R, Cherbuin, N, et al. (2019) MIND not Mediterranean diet related to 12-year incidence of cognitive impairment in an Australian longitudinal cohort study. Alzheimers Dement 15, 581589.CrossRefGoogle ScholarPubMed
Parletta, N, Milte, CM & Meyer, BJ (2013) Nutritional modulation of cognitive function and mental health. J Nutr Biochem 24, 725743.CrossRefGoogle ScholarPubMed
Milte, CM, Thorpe, MG, Crawford, D, et al. (2015) Associations of diet quality with health-related quality of life in older Australian men and women. Exp Gerontol 64, 816.CrossRefGoogle ScholarPubMed
Baden, MY, Kino, S, Liu, X et al. (2020) Changes in plant-based diet quality and health-related quality of life in women. Br J Nutr 124, 960970.CrossRefGoogle ScholarPubMed
Dunstan, DW, Zimmet, PZ, Welborn, TA, et al. (2002) The Australian diabetes, obesity and lifestyle study (AusDiab) – methods and response rates. Diabetes Res Clin Pract 57, 119129.CrossRefGoogle ScholarPubMed
Peeters, A, Magliano, DJ, Backholer, K, et al. (2014) Changes in the rates of weight and waist circumference gain in Australian adults over time: a longitudinal cohort study. BMJ Open 4, e003667.CrossRefGoogle Scholar
Ware, JE, Snow, KK, Kosinski, M, et al. (1993) SF-36 Health Survey Manual and Interpretation Guide. Boston, MA: The Health Institute, New England Medical Center.Google Scholar
Australian Bureau of Statistics (1995) National Health Survey. SF-36 Population Norms. Canberra: Commonwealth of Australia.Google Scholar
Ware, JE & Kosinski, M (2001) Physical & Mental Health Summary Scales: A Manual for Users of Version 1, 2nd ed. Lincoln, RI: QualityMetric.Google Scholar
Ware, JE Jr & Sherbourne, CD (1992) The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care 30, 473483.CrossRefGoogle ScholarPubMed
McHorney, CA, Ware, JE Jr, Rogers, W, et al. (1992) The validity and relative precision of MOS short- and long-form health status scales and Dartmouth COOP charts. Results from the medical outcomes study. Med Care 30, MS253MS265.CrossRefGoogle Scholar
Brazier, JE, Harper, R, Jones, NM, et al. (1992) Validating the SF-36 health survey questionnaire: new outcome measure for primary care. BMJ 305, 160164.CrossRefGoogle ScholarPubMed
Hodge, A, Patterson, AJ, Brown, WJ, et al. (2000) The Anti Cancer Council of Victoria FFQ: relative validity of nutrient intakes compared with weighed food records in young to middle-aged women in a study of iron supplementation. Aust N Z J Public Health 24, 576583.CrossRefGoogle Scholar
Lewis, J & Milligan, G (1995) NUTTAB1995 Nutrient Data Table for Use in Australia. Canberra: Australian Government Publishing Service.Google Scholar
National Health and Medical Research Council (2013) Australian Dietary Guidelines. Canberra: National Health and Medical Research Council.Google Scholar
Thorpe, MG, Milte, CM, Crawford, D, et al. (2016) A revised Australian dietary guideline index and its association with key sociodemographic factors, health behaviors and body mass index in peri-retirement aged adults. Nutrients 8, 160.CrossRefGoogle ScholarPubMed
Shivappa, N, Steck, SE, Hurley, TG, et al. (2014) Designing and developing a literature-derived, population-based dietary inflammatory index. Public Health Nutr 17, 16891696.CrossRefGoogle ScholarPubMed
Australian Institute of Health and Welfare (2003) The Active Australia Survey: A Guide and Manual for Implementation, Analysis and Reporting. Canberra: AIHW.Google Scholar
Gunasekara, FI, Richardson, K, Carter, K, et al. (2014) Fixed effects analysis of repeated measures data. Int J Epidemiol 43, 264269.CrossRefGoogle ScholarPubMed
Textor, J, van der Zander, B, Gilthorpe, MS, et al. (2016) Robust causal inference using directed acyclic graphs: the R package ‘dagitty’. Int J Epidemiol 45, 18871894.Google ScholarPubMed
Truthmann, J, Mensink, GBM, Bosy-Westphal, A, et al. (2017) Physical health-related quality of life in relation to metabolic health and obesity among men and women in Germany. Health Qual Life Outcomes 15, 122.CrossRefGoogle ScholarPubMed
Xu, F, Cohen, SA, Lofgren, IE, et al. (2018) Relationship between diet quality, physical activity and health-related quality of life in older adults: findings from 2007–2014 national health and nutrition examination survey. J Nutr Health Aging 22, 10721079.CrossRefGoogle ScholarPubMed
Godos, J, Castellano, S & Marranzano, M (2019) Adherence to a Mediterranean dietary pattern is associated with higher quality of life in a cohort of Italian adults. Nutrients 11, 981.CrossRefGoogle Scholar
Bonaccio, M, Di Castelnuovo, A, Bonanni, A, et al. (2013) Adherence to a Mediterranean diet is associated with a better health-related quality of life: a possible role of high dietary antioxidant content. BMJ Open 3, e003003.CrossRefGoogle ScholarPubMed
Munoz, MA, Fito, M, Marrugat, J, et al. (2009) Adherence to the Mediterranean diet is associated with better mental and physical health. Br J Nutr 101, 18211827.CrossRefGoogle Scholar
Samieri, C, Sun, Q, Townsend, MK, et al. (2013) The association between dietary patterns at midlife and health in aging: an observational study. Ann Intern Med 159, 584591.CrossRefGoogle ScholarPubMed
Plaisted, CS, Lin, PH, Ard, JD, et al. (1999) The effects of dietary patterns on quality of life: a substudy of the dietary approaches to stop hypertension trial. J Am Diet Assoc 99, S84S89.CrossRefGoogle ScholarPubMed
Jacka, FN, Mykletun, A, Berk, M, et al. (2011) The association between habitual diet quality and the common mental disorders in community-dwelling adults: the Hordaland health study. Psychosom Med 73, 483490.CrossRefGoogle ScholarPubMed
Arganini, C, Saba, A, Comitato, R, et al. (2012) Gender differences in food choice and dietary intake in modern western societies. In Public Health-Social and Behavioral Health, pp. 8495 [Maddock, PJ, editor]. Rome: Istituto Nazionale di Ricerca per gli Alimenti e la Nutrizione, National Research Institute for Food and Nutrition.Google Scholar
Australian Bureau of Statistics (2018) National Health Survey. First Results. Australia 2017–2018. Canberra: Commonwealth of Australia.Google Scholar
Watzl, B, Kulling, SE, Moseneder, J, et al. (2005) A 4-week intervention with high intake of carotenoid-rich vegetables and fruit reduces plasma C-reactive protein in healthy, nonsmoking men. Am J Clin Nutr 82, 10521058.CrossRefGoogle Scholar
Rooney, C, McKinley, MC & Woodside, JV (2013) The potential role of fruit and vegetables in aspects of psychological well-being: a review of the literature and future directions. Proc Nutr Soc 72, 420432.CrossRefGoogle ScholarPubMed
Singh, RK, Chang, HW, Yan, D, et al. (2017) Influence of diet on the gut microbiome and implications for human health. J Transl Med 15, 17.CrossRefGoogle ScholarPubMed
Tönnies, T, Kahl, S & Kuss, O (2022) Collider bias in observational studies. Dtsch Arztebl Int 119, 107122.Google ScholarPubMed
Shim, JS, Oh, K & Kim, HC (2014) Dietary assessment methods in epidemiologic studies. Epidemiol Health 36, e2014009.CrossRefGoogle ScholarPubMed
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