Socio-demographic inequalities in the diets of mid-aged Australian women

Objectives: This study reports on the distributions of food and nutrient intakes by socio-demographic factors for a large population sample of mid-aged Australian women participating in the Australian Longitudinal Study on Women's Health.
Design: This cross-sectional population-based study used the Cancer Council of Victoria food frequency questionnaires to derive estimates of food and nutrient intakes.
Setting: Nationwide community-based survey.
Subjects: A total of 10561 women aged 50-55 y, at the time of the survey in 2001.
Results: Analysis showed favourable patterns of food intake, with frequent consumption of many foods that are promoted as components of a healthy diet (eg, fresh fruit, leafy green and other vegetables, bread, cereals, milk and meat). Intakes of both foods and nutrients varied significantly across socio-demographic groups, with unmarried women, and women in 'labouring' occupations (eg, cleaner, factory worker, kitchenhand) having poorer nutrient intake.
Conclusions: Although many mid-aged women in this sample had generally healthful diets, women in certain socio-demographic groups (particularly unmarried women and those in labouring occupations) had nutrient intakes of concern. As well as helping to address the dearth of current data on dietary intakes in the Australian population, the results highlight the need for continued targeted public health strategies aimed at improving diet of women from the various socio-economic backgrounds.

Socio-demographic variations in walking for transport for recreation or exercise among adult Australians.

Background: Walking is integral to strategies to promote physical activity. We identified socio-demographic variations in walking for transport, and for recreation or exercise. Methods: Representative population data (n = 3392) from Australia were collected using computer assisted telephone interviewing, to examine adults’ participation in moderate- or brisk-paced walking for transport and walking for recreation or exercise; walking “sufficient” to meet the current public health guideline (> 150 min/wk); and, the contributions of total walking to meeting the guideline for total physical activity. Results: Rates of sufficient walking for transport (10% for men, 9% for women) were lower than those for walking for recreation or exercise (14% for both genders). Few socio-demographic differences emerged. Men over age 60 y were significantly less likely (OR = 0.40) to walk for transport; men age 45 to 59 y were more likely (OR = 1.56) to walk for recreation or exercise. Walking contributed more toward meeting the current public health guideline among women (15% to 21%) than among men (6% to 8%). Conclusions: There is potential for socially equitable increases in participation, through a focus on both walking for transport and on walking for recreation or exercise; attention to gender differences would be helpful.

Socio-demographic constraints to travel behavior

Purpose – This study aims to ascertain the effect of socio-demographic constraints on dimension of travel choice. This study also seeks to derive personal ecological explanations for variation in travel preference, travel intention and travel choice behavior of a wide range of destinations.

Design/methodology/approach – A large representative sample of 49,105 Australian respondents is utilized. Binary logistic regression is used to determine the impact of constraint variables.

Findings – Age, income and life stage have significant differential and interactive effects on travel behavior. Socio-demographic variables act in different ways to constrain/free different types of travel behavior. However there are significant levels of travel by even the most constrained groups as well as significant amounts of non-travel by the least constrained sectors of our society. These impacts are country specific.

Research limitations/implications – The travel motivations of constraint groups need to be considered to order better understand travel behavior. Investigation of psychological and ecological facilitators and constraints to travel is needed.

Practical implications – This information is most useful for market segmentation and the development of constraint group destination marketing plans. Managers can use utilize such results to minimize the barriers to travel by particular groups.

Originality/value – This paper utilizes a large database to provide insights into the personal ecological constraints to travel.

A practitioner's report on the interactive effects of socio-demographic barriers to travel

Researchers have viewed constraints as a subset of reasons for not engaging in a particular behavior. This study investigates the impact of two-way interactions between age, income, and life stage (forming groups of more and less constrained respondents) on dependent variables comprising intentions held by Australian residents to travel intrastate, interstate or overseas for a vacation. A representative sample of 49,105 Australian respondents is utilized. Binary logistic regression is used to profile respondents who intend to take a domestic or an overseas holiday of more than three days duration. This paper finds that the interactions between the constraint variables of age, income and life stage are important in explaining travel preferences. Constraint groups are then formed by combining the important constraint variables. There are significant levels of vacation travel by even the most constrained groups as well as significant amounts of non-travel by the least constrained sectors of our society. Marketing insights and recommendations are provided for the most constrained travel group and the least constrained travel group.

Socio-demographic correlates of prolonged television viewing time in Australian men and women : the AusDiab study

Background: Sedentary behaviors, particularly television viewing (TV) time, are associated with adverse health outcomes in adults, independent of physical activity levels. These associations are stronger and more consistent for women than for men. Methods: Multivariate regression models examined the sociodemographic correlates of 2 categories of TV time (≥2 hours/day and ≥4 hours/day); in a large, population-based sample of Australian adults (4950 men, 6001 women; mean age 48.1 years, range 25-91) who participated in the 1999/2000 Australian Diabetes, Obesity, and Lifestyle (AusDiab) study. Results: Some 46% of men and 40% of women watched ≥ 2 hours TV/day; 9% and 6% respectively watched ≥ 4 hours/day. For both men and women, ≥2 hours TV/day was associated with less than tertiary education, living outside of state capital cities, and having no paid employment. For women, mid and older age (45-64 and 65+) were also significant correlates of ≥2 hours TV/day. Similar patterns of association were observed in those viewing ≥4 hours/day. Conclusions: Prolonged TV time is associated with indices of social disadvantage and older age. These findings can inform the understanding of potential contextual influences and guide preventive initiatives.

Socio-demographic characteristics of children experiencing socioeconomic disadvantage who meet physical activity and screen-time recommendations : the READI study

Objective - To identify socio-demographic characteristics of children from socioeconomically disadvantaged neighbourhoods who meet physical activity and screen recommendations.
Method - Children aged 5–12 years (n = 373; 45% boys) were recruited in 2007 from socioeconomically disadvantaged urban and rural areas of Victoria, Australia. Children's physical activity, height and weight were objectively measured. Mothers reported their highest level of education, and proxy-reported their child's usual screen-time. Odds ratios (OR) and 95% confidence intervals (95% CI) examined odds of meeting physical activity (> 60 minutes/day) and screen (≤ 120 minutes/day) recommendations according to socio-demographic characteristics.
Results - Approximately 84% of children met physical activity and 43% met screen recommendations. Age was inversely associated with odds of meeting physical activity and screen recommendations, and overweight/obese status was associated with lower odds of meeting screen recommendations (boys: OR = 0.39, 95%CI = 0.16–0.95; girls: OR = 0.47, 95%CI = 0.26–0.83). Among boys, living in a rural area was positively associated with meeting screen recommendations (OR = 3.08, 95%CI = 1.42–6.64). Among girls, high levels of maternal education were positively associated with meeting screen recommendations (OR = 2.76, 95%CI = 1.33–5.75).
Conclusion - Specific socio-demographic characteristics were associated with odds of meeting physical activity and screen recommendations. Identifying factors associated with such ‘resilience’ among this group may provide important learnings to inform future physical activity promotion initiatives.

An examination of the mediating role of salt knowledge and beliefs on the relationship between socio-demographic factors and discretionary salt use: a cross-sectional study

Background Discretionary salt use varies according to socio-demographic factors. However, it is unknown whether salt knowledge and beliefs mediate this relationship. This study examined the direct and indirect effect of socio-demographic factors on salt knowledge and discretionary salt use in a sample of 530 Australian adults.

Methods An internet based cross-sectional survey was used to collect data for this study. Participants completed an online questionnaire which assessed their salt knowledge, beliefs and salt use behaviour. Mplus was used to conduct structural equation modelling to estimate direct and indirect effects.

Results The mean age of the participants was 49.2 years, and about a third had tertiary education. Discretionary salt use was inversely related to age (r=-0.11; p<0.05), and declarative salt knowledge (knowledge of factual information) scores (r = -0.17; p<0.01), but was positively correlated with misconceptions about salt (r = 0.09; p<0.05) and beliefs about the taste of salt (r = 0.51; p<0.001). Structural equation modelling showed age, education and gender were indirectly associated with the use of discretionary salt through three mediating pathways; declarative salt knowledge, misconceptions about salt and salt taste beliefs.

Conclusions Inequalities observed between socio-demographic groups in their use of discretionary salt use can potentially be reduced through targeted salt knowledge and awareness campaigns.

Socio-demographic lifestyle and psychological predictors of benzodiazepine and z-hypnotic use patterns

Aims : Risk and demographic factors for benzodiazepine and z-hypnotic use are incompletely understood. The aim of the paper was therefore to investigate socio-demographic, lifestyle and psychological factors predicting onset and differential pattern of prescribed benzodiazepine and z-hypnotic use in a Norwegian population sample.

Methods : This retrospective cohort study obtained socio-demographic, psychological and lifestyle variables from the Nord-Trøndelag Health Study. Information about benzodiazepine prescriptions from the Norwegian prescription database were linked to epidemiological questionnaire data. Benzodiazepine use was classified into single-period, intermittent and chronic use, and high dose use was defined as being prescribed a yearly average above 180 daily defined doses.

Results : Older age, sleep difficulties and smoking were positively associated with all patterns of benzodiazepine use. Male gender was related to a reduced risk of all patterns of use, whereas educational achievement was negatively associated with single-period use. Alcohol consumption, anxiety and tension were positively related to intermittent and chronic use, while exercise was negatively related to chronic use. Smoking, sleep difficulties and old age were positively associated with prescriptions of high benzodiazepine doses, while exercise was associated with lower doses.

Conclusions : Patterns of prescribed benzodiazepine use are linked to demographic, lifestyle and clinical variables. Non-pharmacological treatment for sleep difficulties and smoking cessation may reduce the risk of chronic benzodiazepine use.

Socio-demographic and work setting correlates of poor mental health in a population sample of working Victorians: application in evidence-based intervention priority setting

Interventions to promote mental health in the workplace are rapidly gaining acceptability as a means to prevent, screen, treat and effectively manage the growing disease burden of depression and anxiety among working people. The objective of this study was to identify socio-demographic and work setting correlates of poor mental health to consider alongside other evidence in priority setting for workplace mental health promotion (MHP). Multiple logistic regression was used to model the probability of poor mental health (SF-12) in relation to socio-demographic (gender, age, education, marital status and occupational skill level) and employment factors (workplace size and type, industrial sector, employment arrangement and working hours) in a population-based cross-sectional survey of 1051 working Victorians. As a result, poor mental health was (21% prevalence overall) higher in working females than in males and decreased with increasing age. Only one employment factor was significant in demographically adjusted multivariate analyses, showing an increase in the odds of poor mental health with increasing working hours. It is concluded that based on the prevalence of poor mental health, Victorian work settings with high proportions of younger workers, and younger working women in particular, should be prioritized for workplace MHP. Thus, together with other research demonstrating particularly poor psychosocial working conditions for young working women, sectors with an over-representation of this group (e.g. service sector) could be prioritized for workplace MHP alongside young and blue-collar males (also a priority due to low mental healthcare service use).

Do sedentary behaviors mediate associations between socio-demographic characteristics and BMI in women living in socio-economically disadvantaged neighborhoods?

Women living in deprived neighborhoods are a risk group for overweight and obesity, particularly during the childbearing years. Several socio-demographic characteristics may compound this risk, but little is known about why this might be the case. Sedentary behaviors are emerging as a socio-demographically patterned risk factor for obesity. The purpose of the present study was to assess socio-demographic differences in sedentary behaviors, and to examine whether these behaviors could explain the relation between socio-demographic variables and BMI (BMI) in this risk group.