A comparison of the dietary patterns derived by principal component analysis and cluster analysis in older Australians

BACKGROUND: Despite increased use of dietary pattern methods in nutritional epidemiology, there have been few direct comparisons of methods. Older adults are a particularly understudied population in the dietary pattern literature. This study aimed to compare dietary patterns derived by principal component analysis (PCA) and cluster analysis (CA) in older adults and to examine their associations with socio-demographic and health behaviours. METHODS: Men (n = 1888) and women (n = 2071) aged 55-65 years completed a 111-item food frequency questionnaire in 2010. Food items were collapsed into 52 food groups and dietary patterns were determined by PCA and CA. Associations between dietary patterns and participant characteristics were examined using Chi-square analysis. The standardised PCA-derived dietary patterns were compared across the clusters using one-way ANOVA. RESULTS: PCA identified four dietary patterns in men and two dietary patterns in women. CA identified three dietary patterns in both men and women. Men in cluster 1 (fruit, vegetables, wholegrains, fish and poultry) scored higher on PCA factor 1 (vegetable dishes, fruit, fish and poultry) and factor 4 (vegetables) compared to factor 2 (spreads, biscuits, cakes and confectionery) and factor 3 (red meat, processed meat, white-bread and hot chips) (mean, 95 % CI; 0.92, 0.82-1.02 vs. 0.74, 0.63-0.84 vs. -0.43, -0.50- -0.35 vs. 0.60 0.46-0.74, respectively). Women in cluster 1 (fruit, vegetables and fish) scored highest on PCA factor 1 (fruit, vegetables and fish) compared to factor 2 (processed meat, hot chips cakes and confectionery) (1.05, 0.97-1.14 vs. -0.14, -0.21- -0.07, respectively). Cluster 3 (small eaters) in both men and women had negative factor scores for all the identified PCA dietary patterns. Those with dietary patterns characterised by higher consumption of red and processed meat and refined grains were more likely to be Australian-born, have a lower level of education, a higher BMI, smoke and did not meet physical activity recommendations (all P < 0.05). CONCLUSIONS: PCA and CA identified comparable dietary patterns within older Australians. However, PCA may provide some advantages compared to CA with respect to interpretability of the resulting dietary patterns. Older adults with poor dietary patterns also displayed other negative lifestyle behaviours. Food-based dietary pattern methods may inform dietary advice that is understood by the community

Dairy foods and dairy protein consumption is inversely related to markers of adiposity in obese men and women

A number of intervention studies have reported that the prevalence of obesity may be in part inversely related to dairy food consumption while others report no association. We sought to examine relationships between energy, protein and calcium consumption from dairy foods (milk, yoghurt, cheese, dairy spreads, ice-cream) and adiposity including body mass index (BMI), waist (WC) and hip circumference (HC), and direct measures of body composition using dual energy X-ray absorptiometry (% body fat and abdominal fat) in an opportunistic sample of 720 overweight/obese Australian men and women. Mean (SD) age, weight and BMI of the population were 51 ± 10 year, 94 ± 18 kg and 32.4 ± 5.7 kg/m2, respectively. Reduced fat milk was the most commonly consumed dairy product (235 ± 200 g/day), followed by whole milk (63 ± 128 g/day) and yoghurt (53 ± 66 g/day). Overall dairy food consumption (g/day) was inversely associated with BMI, % body fat and WC (all p < 0.05). Dairy protein and dairy calcium (g/day) were both inversely associated with all adiposity measures (all p < 0.05). Yoghurt consumption (g/day) was inversely associated with % body fat, abdominal fat, WC and HC (all p < 0.05), while reduced fat milk consumption was inversely associated with BMI, WC, HC and % body fat (all p < 0.05). Within a sample of obese adults, consumption of dairy products, dairy protein, and calcium was associated with more favourable body composition

Influence of health locus of control on recovery of function in recently hospitalized frail older adults

"This is the peer reviewed version of the following article: [Milte, C. M., Luszcz, M. A., Ratcliffe, J., Masters, S. and Crotty, M. (2015), Influence of health locus of control on recovery of function in recently hospitalized frail older adults. Geriatrics & Gerontology International, 15: 341–349.], which has been published in final form at [http://dx.doi.org/10.1111/ggi.12281]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. http://olabout.wiley.com/WileyCDA/Section/id-820227.html#terms"AIM: To investigate the influence of health locus of control on physical function, quality of life, depression and satisfaction with care transition in a sample of older adults after a hospital admission. METHODS: A total of 230 older adults referred for transition care after a hospital admission (mean length of stay 25.7 days, SD 17.2) were recruited into a randomized controlled intervention trial investigating the effect of specialized coaching compared with usual care. Older adults completed the multidimensional health locus of control (MHLC) survey at baseline. Self-rated quality of life, depression and physical function were assessed at baseline and 12 months using the EuroQol five-dimension, Geriatric Depression Scale (GDS) and Modified Barthel Index (MBI), respectively. RESULTS: Results from hierarchical multiple regression analysis in 136 participants (70 usual care and 66 specialized care) with complete data showed that higher scores on the MHLC internal subscale were related to better quality of life, and better physical function in the usual care group at 12 months, but not depression or transition process satisfaction at 3 months. No relationships between MHLC subscales and outcome measures were observed in the specialized care group, where the coaching intervention might have precluded any relationship observed. CONCLUSIONS: A stronger sense of personal control over health was associated with better maintenance of quality of life and physical function at 12 months in older adults undergoing usual care transition after acute hospitalization. Modification of control beliefs has the potential to promote resilience and impact on health outcomes in older adults during care transitions

Associations of diet quality with health-related quality of life in older Australian men and women

This study investigated associations between diet quality measures and quality of life two years later. Adults 55-65 years participating in the Wellbeing, Eating and Exercise for a Long Life (WELL) study in Victoria, Australia (n = 1150 men and n = 1307 women) completed a postal survey including a 111-item food frequency questionnaire in 2010. Diet quality in 2010 was assessed via the dietary guideline index (DGI), recommended food score (RFS) and Mediterranean diet score (MDS). The RAND 36-item survey assessed health-related quality of life in 2012. Associations were assessed using logistic regression adjusted for covariates. In men, DGI and RFS were associated with better reported energy (OR = 1.79, CI: 1.25, 2.55 and OR = 1.56, CI: 1.11, 2.19 respectively), and DGI was additionally associated with better general health (OR = 1.54, 95% CI: 1.08, 2.20), and overall mental component summary scale (OR = 1.51, CI: 1.07, 2.15) in the fully adjusted model. In women, associations between two indices of diet quality (DGI, RFS) physical function (OR = 1.66, CI: 1.19, 2.31 and OR = 1.70, CI: 1.21, 2.37 respectively) and general health (OR = 1.83, CI: 1.32, 2.54 and OR = 1.54, CI: 1.11, 2.14 respectively) were observed. DGI was also associated with overall physical component summary score (OR = 1.56, CI: 1.12, 2.17). Additional associations between emotional wellbeing and DGI (OR = 1.40, CI: 1.01, 1.93) and RFS (OR = 1.44, CI: 1.04, 1.99), and MDS and energy (OR = 1.53, CI: 1.11, 2.10) were observed in the fully adjusted model, in women only. Older adults with better quality diets report better health-related quality of life, with additional associations with emotional wellbeing observed in women

What\u27s important in defining quality of life for older people? An exploratory study of the views of older South Australians

BackgroundCost-effectiveness analyses of interventions for older adults have traditionally focused on health status. There is&nbsp;increasing recognition of the need to develop new instruments to capture quality of life in a broader sense in the face&nbsp;of age-associated increasing frailty and declining health status, particularly in the economic evaluation of aged and&nbsp;social care interventions which may have positive benefits beyond health.&nbsp;ObjectiveTo explore the relative importance of health and broader quality of life domains for defining quality of life from the&nbsp;perspective of older South Australians.MethodsOlder adults (n=21) from a day rehabilitation facility in Southern Adelaide, South Australia attended one of two audiorecorded&nbsp;focus groups. A mixed methods (qualitative and quantitative) approach was adopted. The study included&nbsp;three main components. Firstly, a general group discussion on quality of life and the factors of importance in defining&nbsp;quality of life. Secondly, a structured ranking exercise in which individuals were asked to rank domains from the brief&nbsp;Older People&rsquo;s Quality of Life questionnaire (OPQOL-brief) and Adult Social Care Outcomes Toolkit (ASCOT) in&nbsp;order of importance. Thirdly, participants were asked to self-complete the Euroqol (EQ-5D) a measure of health&nbsp;status, and two broader quality of life measures: the OPQOL-brief and ASCOT.ResultsMean scores on the EQ-5D, OPQOL-brief and ASCOT were 0.71 (SD 0.20, range 0.06-1.00), 54.6 (SD 5.5, range&nbsp;38-61) and 0.87 (SD 0.13, range 0.59-1.00) respectively, with higher scores reflecting better ratings of QOL. EQ-5D&nbsp;scores were positively associated with OPQOL-brief (rho: .730, p&lt;.01), but not ASCOT. Approximately half (52.4%)&nbsp;of the respondents ranked either &ldquo;health&rdquo; or &ldquo;psychological and emotional well- being&rdquo; as the domain most important&nbsp;to their quality of life. However, one-third (33.3%) of the total sample ranked a non-health domain from the ASCOT or&nbsp;OPQOL-brief (safety, dignity, independence) as the most important contributing factor to their overall quality of life.&nbsp;Qualitative analysis of focus group transcripts supported the high value of both health-related (health, psychological&nbsp;well-being) and social (independence, safety) domains to quality of life.ConclusionsOlder adults value both health and social domains as important to their overall quality of life. Future economic&nbsp;evaluations of health, community and aged-care services for older adults should include assessment of both healthrelated&nbsp;and broader aspects quality of life.</div

Family meetings for older adults in intermediate care settings: the impact of patient cognitive impairment and other characteristics on shared decision making

"This is the peer reviewed version of the following article: [Milte CM, Ratcliffe J, Davies O, Whitehead C, Masters S, Crotty M. Family meetings for older adults in intermediate care settings: the impact of patient cognitive impairment and other characteristics on shared decision making. Health Expectations. 2015 Oct;18(5):1030-40. ], which has been published in final form at [http://dx.doi.org/10.1111/hex.12076]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. http://olabout.wiley.com/WileyCDA/Section/id-820227.html#terms"BACKGROUND: Clinicians, older adults and caregivers frequently meet to make decisions around treatment and lifestyle during an acute hospital admission. Patient age, psychological status and health locus of control (HLC) influence patient preference for consultation involvement and information but overall, a shared-decision-making (SDM) approach is favoured. However, it is not known whether these characteristics and the presence of cognitive impairment influence SDM competency during family meetings. OBJECTIVE: To describe meetings between older adults, caregivers and geriatricians in intermediate care and explore patient and meeting characteristics associated with a SDM communication style. METHODS: Fifty-nine family meetings involving geriatricians, patients in an intermediate care setting following an acute hospital admission and their caregivers were rated using the OPTION system for measuring clinician SDM behaviour. The geriatric depression scale and multidimensional HLC scale were completed by patients. The mini-mental state exam (MMSE) assessed patient's level of cognitive impairment. RESULTS: Meetings lasted 38 min (SD 13) and scored 41 (SD 17) of 100 on the OPTION scale. Nine (SD 2.2) topics were discussed during each meeting, and most were initiated by the geriatrician. Meeting length was an important determinant of OPTION score, with higher SDM competency displayed in longer meetings. Patient characteristics, including MMSE, HLC and depression did not explain SDM competency. CONCLUSION: Whilst SDM can be achieved during consultations frail older patients and their caregivers, an increased consultation time is a consequence of this approach

A revised Australian dietary guideline index and its association with key sociodemographic factors, health behaviors and body mass index in peri-retirement aged adults

The Dietary Guideline Index, a measure of diet quality, was updated to reflect the 2013 Australian Dietary Guidelines. This paper describes the revision of the index (DGI-2013) and examines its use in older adults. The DGI-2013 consists of 13 components reflecting food-based daily intake recommendations of the Australian Dietary Guidelines. In this cross-sectional study, the DGI-2013 score was calculated using dietary data collected via an 111-item food frequency questionnaire and additional food-related behaviour questions. The DGI-2013 score was examined in Australian adults (aged 55-65 years; n = 1667 men; 1801 women) according to sociodemographics, health-related behaviours and BMI. Women scored higher than men on the total DGI-2013 and all components except for dairy. Those who were from a rural area (men only), working full-time (men only), with lower education, smoked, did not meet physical activity guidelines, and who had a higher BMI, scored lower on the DGI-2013, highlighting a group of older adults at risk of poor health. The DGI-2013 is a tool for assessing compliance with the Australian Dietary Guidelines. We demonstrated associations between diet quality and a range of participant characteristics, consistent with previous literature. This suggests that the DGI-2013 continues to demonstrate convergent validity, consistent with the original Dietary Guideline Index

Associations between major chain fast-food outlet availability and change in body mass index: a longitudinal observational study of women from Victoria, Australia

Objectives The residential neighbourhood fast-food environment has the potential to lead to increased levels of obesity by providing opportunities for residents to consume energy-dense products. This longitudinal study aimed to examine whether change in body mass index (BMI) differed dependent on major chain fast-food outlet availability among women residing in disadvantaged neighbourhoods. Setting Eighty disadvantaged neighbourhoods in Victoria, Australia. Participants Sample of 882 women aged 18–46 years at baseline (wave I: 2007/2008) who remained at the same residential location at all three waves (wave II: 2010/2011; wave III: 2012/2013) of the Resilience for Eating and Activity Despite Inequality study. Primary outcome BMI based on self-reported height and weight at each wave. Results There was no evidence of an interaction between time and the number of major chain fast-food outlets within 2 (p=0.88), 3 (p=0.66) or 5 km (p=0.24) in the multilevel models of BMI. Furthermore, there was no evidence of an interaction between time and change in availability at any distance and BMI. Conclusions Change in BMI was not found to differ by residential major chain fast-food outlet availability among Victorian women residing in disadvantaged neighbourhoods. It may be that exposure to fast-food outlets around other locations regularly visited influence change in BMI. Future research needs to consider what environments are the key sources for accessing and consuming fast food and how these relate to BMI and obesity risk

Diet quality and telomere length in older Australian men and women

PurposeTelomere length is a biomarker of cellular ageing, with longer telomeres associated with longevity and reduced risk of chronic disease in older age. Consumption of a healthy diet may contribute to longevity via its impact on cellular ageing, but studies on diet and telomere length to date have been limited and their findings equivocal. The aim of this study was to examine associations between three indices of diet quality and telomere length in older men and women.MethodsAdults aged 57&ndash;68 years participating in the Wellbeing, Eating and Exercise for a Long Life (WELL) study in Victoria, Australia (n = 679), completed a postal survey including an 111-item food frequency questionnaire in 2012. Diet quality was assessed via three indices: the Dietary Guideline Index, the Recommended Food Score, and the Mediterranean Diet Score. Relative telomere length was measured by quantitative polymerase chain reaction. Associations between diet quality and telomere length were assessed using linear regression adjusted for covariates.ResultsAfter adjustment for age, sex, education, smoking, physical activity, and body mass index (BMI), there were no significant associations between diet quality and relative telomere length.ConclusionsIn a sample of older adults residing in Victoria, Australia, men and women aged 57&ndash;68 years with better-quality diets did not have longer telomeres. Further investigation in longitudinal studies will determine whether diet can influence telomere length over time in an ageing population