Total physical activity but not diet quality associated with postnatal depressive symptoms amongst women living in socioeconomically disadvantaged neighborhoods.

Lifestyle behaviors such as healthy diet and some forms of physical activity have been linked to lower risk of depressive symptoms in the general population. However, little is known regarding their associations with postnatal depressive symptoms. Given that postnatal women (particularly those living in socioeconomically disadvantaged neighborhoods) are more likely to have poorer diet quality, lower physical activity levels and greater risk of depressive symptoms, this study sought to determine the associations between diet quality, total and domain specific physical activity and depressive symptoms amongst postnatal women from socioeconomically disadvantaged neighborhoods. It was hypothesized that higher diet quality and levels of leisure-time physical activity would be associated with lower depressive symptoms. In 2007-2008, cross-sectional data were collected from 246 women living in socioeconomically disadvantaged neighborhoods in Victoria, Australia. Participants completed self-report measures of diet (using a 17 item dietary questionnaire), domain specific physical activity (International Physical Activity Questionnaire), and depressive symptoms (Centre for Epidemiologic Studies Depression Scale). Linear regression analyses were used to determine the associations between diet quality, physical activity and postnatal depressive symptoms. There was a significant inverse association between total physical activity (B, -0.009; 95% CI, -0.016 to -0.001; P = .023) and postnatal depressive symptoms. No association was found between other domain-specific physical activity (i.e. leisure-time, domestic or transport-related physical activity), or diet quality and postnatal depressive symptoms. Acknowledging the cross-sectional nature of this study, these findings suggest that total physical activity may play a more important role than diet quality in the relationship with postnatal depressive symptoms.

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 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.

How important is health status in defining quality of life for older people? An exploratory study of the views of older South Australians.

BACKGROUND: Cost-effectiveness analyses of interventions for older adults have traditionally focused on health status. However, there is increasing recognition of the need to develop new instruments to capture quality of life in a broader sense in the face of age-associated increasing frailty and declining health status, particularly in the economic evaluation of aged and social care interventions that may have positive benefits beyond health. OBJECTIVE: To explore the relative importance of health and broader quality of life domains for defining quality of life from the perspective of older South Australians. METHODS: Older adults (n=21) from a day rehabilitation facility in Southern Adelaide, South Australia attended one of two audio-recorded focus groups. A mixed methods (qualitative and quantitative) study design was adopted. The study included three main components. First was a general group discussion on quality of life and the factors of importance in defining quality of life. Second was a structured ranking exercise in which individuals were asked to rank domains from the brief Older People's Quality of Life (OPQOL-brief) questionnaire and Adult Social Care Outcomes Toolkit (ASCOT) in order of importance. Third, participants were asked to self-complete the EuroQol five-dimension (EQ-5D), a measure of health status, and two broader quality-of-life measures: the OPQOL-brief and ASCOT. RESULTS: Mean scores on the EQ-5D, OPQOL-brief and ASCOT were 0.71 (standard deviation [SD] 0.20, range 0.06-1.00), 54.6 (SD 5.5, range 38-61) and 0.87 (SD 0.13, range 0.59-1.00), respectively, with higher scores reflecting better ratings. EQ-5D scores were positively associated with OPQOL-brief (Spearman's Rho: 0.730; p<0.01), but not ASCOT. Approximately half (52.4%) of the participants ranked either 'health' or 'psychological and emotional well-being' as the domain most important to their quality of life. However, one-third (33.3%) of the total sample ranked a non-health domain from the ASCOT or OPQOL-brief (safety, dignity, independence) as the most important contributing factor to their overall quality of life. Qualitative analysis of focus group transcripts supported the high value of both health-related (health, psychological well-being) and social (independence, safety) domains to quality of life. CONCLUSIONS: Older adults value both health and social domains as important to their overall quality of life. Future economic evaluations of health, community and aged-care services for older adults should include assessment of both health-related and broader aspects of quality of life.