Why do women of low socioeconomic status have poorer dietary behaviours than women of higher socioeconomic status? A qualitative exploration

In developed countries, persons of low socioeconomic status (SES) are generally less likely to consume diets consistent with dietary guidelines. Little is known about the mechanisms that underlie SES differences in eating behaviours. Since women are often responsible for dietary choices within households, this qualitative study investigated factors that may contribute to socioeconomic inequalities in dietary behaviour among women. Semi-structured interviews were conducted with 19 high-, 19 mid- and 18 low- SES women, recruited from Melbourne, Australia, using an area-level indicator of SES. An ecological framework, in which individual, social and environmental level influences on diet were considered, was used to guide the development of interview questions and interpretation of the data. Thematic analysis was undertaken to identify the main themes emerging from the data. Several key influences varied by SES. These included food-related values such as health consciousness, and a lack of time due to family commitments (more salient among higher SES women), as well as perceived high cost of healthy eating and lack of time due to work commitments (more important for low SES women). Reported availability of and access to good quality healthy foods did not differ strikingly across SES groups. Public health strategies aimed at reducing SES inequalities in diet might focus on promoting healthy diets that are low cost, as well as promoting time-efficient food preparation strategies for all women.

Reframing 'the problem': students from low socioeconomic status backgrounds transitioning to university

At the heart of this book are people enrolling at university for the first time and entering into the broad variety of social relations and contexts entailed in their ‘coming to know’ at, of and through university.

Teaching students using technology: Facilitating success for students from low socioeconomic status backgrounds in Australian universities

Australian higher education has adopted a widening participation agenda with a focus on the participation of disadvantaged students, particularly those from low socioeconomic status (LSES) backgrounds. As these students begin to enter university in greater number and proportion than ever before, there is increasing interest in how best to facilitate their success. A recent national study employed semi-structured interviews to ask 89 successful LSES students what had helped them succeed. Twenty-six staff experienced in effectively teaching and supporting LSES students were also interviewed about what approaches they used in their work. Analysis of the study's findings indicates a strong theme related to the use of technology in effectively teaching and supporting LSES students. In particular, the use of a range of resources and media, facilitating interactive and connected learning, enabling personalised learning and assuring high academic standards were found to contribute to student success. The implications of these findings are discussed with a specific focus on promoting effective teaching practice and informing related policy. At a time when the diversity of the student cohort in Australian higher education institutions is increasing, the findings reported in this paper are both timely and critical for educators and institutions.

Whose socioeconomic status influences a women's obesity risk: her mother's, her father's, or her own?

Background Evidence on the relative influence of childhood vs adulthood socioeconomic conditions on obesity risk is limited and equivocal. The objective of this study was to investigate associations of several indicators of mothers', fathers', and own socioeconomic status, and intergenerational social mobility, with body mass index (BMI) and weight change in young women.

Methods This population-based cohort study used survey data provided by 8756 women in the young cohort (aged 18–23 years at baseline) of the Australian Longitudinal Study on Women's Health. In 1996 and 2000, women completed mailed surveys in which they reported their height and weight, and their own, mother's, and father's education and occupation.

Results Multiple linear regression models showed that both childhood and adulthood socioeconomic status were associated with women's BMI and weight change, generally in the hypothesized (inverse) direction, but the associations varied according to socioeconomic status and weight indicator. Social mobility was associated with BMI (based on father's socioeconomic status) and weight change (based on mother's socioeconomic status), but results were slightly less consistent.

Conclusions Results suggest lasting effects of childhood socioeconomic status on young women's weight status, independent of adult socioeconomic status, although the effect may be attenuated among those who are upwardly socially mobile. While the mechanisms underlying these associations require further investigation, public health strategies aimed at preventing obesity may need to target families of low socioeconomic status early in children's lives.

Characteristics of physically active and inactive men from low socioeconomic communities and housing estates : a qualitative study using the socioecological model

This qualitative study compares experiences of men from low socioeconomic status (SES) communities who achieved sufficient physical activity (PA) with those who did not. The socioecological model of health guided interviews with men (n=25) and community health workers (n=4) to explore individual, interpersonal, organizational, community, environmental and policy influences on PA participation. Men generally reported that they had poor health, financial barriers, were unfamiliar with community PA facilities and programs, had limited social support, and lived in unsafe neighbourhoods. There were clear differences between active and inactive men. Inactive men described their inability to cope with poor health, and consequent perceptions of disconnection. They did not identify positive PA outcomes and seemed consumed by stressful life situations. Active men identified barriers to existing programs such as the exclusive culture of PA facilities. It is important that personal circumstances are understood, and financial and cultural barriers addressed to promote PA among men from low SES communities.

Objectively assessed recess physical activity in girls and boys from high and low socioeconomic backgrounds

Background
The school environment influences children’s opportunities for physical activity participation. The aim of the present study was to assess objectively measured school recess physical activity in children from high and low socioeconomic backgrounds.

Methods
Four hundred and seven children (6–11 years old) from 4 primary schools located in high socioeconomic status (high-SES) and low socioeconomic status (low-SES) areas participated in the study. Children’s physical activity was measured using accelerometry during morning and afternoon recess during a 4-day school week. The percentage of time spent in light, moderate, vigorous, very high and in moderate- to very high-intensity physical activity were calculated using age-dependent cut-points. Sedentary time was defined as 100 counts per minute.

Results
Boys were significantly (p < 0.001) more active than girls. No difference in sedentary time between socioeconomic backgrounds was observed. The low-SES group spent significantly more time in light (p < 0.001) and very high (p < 0.05) intensity physical activity compared to the high-SES group. High-SES boys and girls spent significantly more time in moderate (p < 0.001 and p < 0.05, respectively) and vigorous (p < 0.001) physical activity than low-SES boys.

Conclusions
Differences were observed in recess physical activity levels according to socioeconomic background and sex. These results indicate that recess interventions should target children in low-SES schools.

Is there an interaction between socioeconomic status and FRAX 10-year fracture probability determined with and without bone density measures? Data from the Geelong Osteoporosis Study of female cohort.

FRAX(©) evaluates 10-year fracture probabilities and can be calculated with and without bone mineral density (BMD). Low socioeconomic status (SES) may affect BMD, and is associated with increased fracture risk. Clinical risk factors differ by SES; however, it is unknown whether aninteraction exists between SES and FRAX determined with and without the BMD. From the Geelong Osteoporosis Study, we drew 819 females aged ≥50 years. Clinical data were collected during 1993-1997. SES was determined by cross-referencing residential addresses with Australian Bureau of Statistics census data and categorized in quintiles. BMD was measured by dual energy X-ray absorptiometry at the same time as other clinical data were collected. Ten-year fracture probabilities were calculated using FRAX (Australia). Using multivariable regression analyses, we examined whether interactions existed between SES and 10-year probability for hip and any major osteoporotic fracture (MOF) defined by use of FRAX with and without BMD. We observed a trend for a SES * FRAX(no-BMD) interaction term for 10-year hip fracture probability (p = 0.09); however, not for MOF (p = 0.42). In women without prior fracture (n = 518), we observed a significant SES * FRAX(no-BMD) interaction term for hip fracture (p = 0.03) and MOF (p = 0.04). SES does not appear to have an interaction with 10-year fracture probabilities determined by FRAX with and without BMD in women with previous fracture; however, it does appear to exist for those without previous fracture.

Which aspects of socioeconomic status are related to obesity among men and women?

OBJECTIVE: This study aimed to investigate the relationships between body weight and fat distribution, and four empirically derived domains of socioeconomic status: employment, housing, migration status and family unit.

DESIGN: A population-based study was used.

PARTICIPANTS: A total of 8667 randomly-selected adults (4167 men; 4500 women) who participated in the 1995 Australian National Health and Nutrition Surveys provided data on a range of health factors including objective height, weight and body fat distribution, and a range of sociodemographic indicators.

RESULTS: Results demonstrated associations for women, after controlling for age, between the employment domain, and body mass index and waist-to-hip ratio. Low status employed women were 1.4 times as likely to be overweight as high status employed women. There were less consistent relationships observed among these factors for men. Relationships between family unit and indicators of body weight and body fat distribution were observed for both men and women, with those who were married, particularly men (OR=1.6, 95% CI 1.4-2.0), at higher risk of overweight. The migration and housing socioeconomic status domains were not consistently associated with body mass index or waist-to-hip ratio.

CONCLUSIONS: These findings indicate that different components of socioeconomic status may be important in predicting obesity, and thus should be examined separately. Future research would benefit from investigating the underlying mechanisms governing the relationships between socioeconomic status domains further, particularly those related to employment and family unit and obesity

Socioeconomic status and weight change in adults: a review

In developed countries, obesity is inversely associated with socioeconomic status (SES) among women, and less consistently among men; whereas, in developing countries, the association is direct. However, the relationship of SES to weight change over time is unknown. This relationship was the focus of the present literature review. It was hypothesized that, compared with persons of higher SES, persons of low SES would show greater weight gain or risk of weight gain over time. A search of electronic databases identified 34 relevant articles from developed countries reporting on studies that assessed the relationship of various measures of SES with weight change over time in adults (there were too few papers from developing countries (n=1) to include). Results of the methodologically strongest studies (those which obtained objectively measured adiposity data and used a follow-up period of 4 years or more) showed that, among non-black samples, there were relatively consistent inverse associations between occupation and weight gain for men and women. When SES was assessed using education, evidence was slightly less consistent, but still provided some support for the hypothesized relationship. However, when income was used as the indicator of SES, findings were inconsistent, although there were fewer studies available. There was little support for a relationship between SES and weight gain for black samples. In the context of the worldwide epidemic of obesity, these findings suggest that in developed countries, weight gain prevention efforts might best be focused on those who are most socioeconomically disadvantaged, particularly those in lower status occupations.

Severely compromised quality of life in women and those of lower socioeconomic status waiting for joint replacement surgery

Objective
To determine health-related quality of life (HRQOL), psychological distress, physical function, and self efficacy in persons waiting for lower-limb joint replacement surgery.

Methods
A total of 214 patients on a waiting list for unilateral primary total knee or hip replacement at a large Australian public teaching hospital completed questionnaires after entry to the list. HRQOL and psychological distress were compared with available population norms.

Results
Average HRQOL was extremely poor (mean ± SD 0.39 ± 0.24) and much lower (>2 SD) than the population norm. Near death-equivalent HRQOL or worse than death-equivalent HRQOL were reported by 15% of participants. High or very high psychological distress was up to 5 times more prevalent in the waiting list sample (relative risk 5.4 for participants ages 75 years and older; 95% confidence interval 3.3, 9.0). Women had significantly lower HRQOL, self efficacy, and physical function scores than men. After adjusting for age and sex, significant socioeconomic disparities were also found. Participants who received the lowest income had the poorest HRQOL; those with the least education or the lowest income had the highest psychological distress. Low self efficacy was moderately associated with poor HRQOL (r = 0.49, P < 0.001) and more strongly associated with high psychological distress (r = -0.55, P < 0.001).

Conclusion
Patients waiting for joint replacement have very poor HRQOL and high psychological distress, especially women and those from lower socioeconomic backgrounds. Lengthy waiting lists mean patients can experience extended and potentially avoidable morbidity. Interventions to address psychological distress and self efficacy could reduce this burden and should target women and lower socioeconomic groups.

Socioeconomic status, obesity and lifestyle in men : the Geelong Osteoporosis Study

Background : Although the association between lower socioeconomic status (SES) and obesity in women in developed countries is well-documented, current evidence regarding the relationship between obesity in men and area-based SES (equivalised for advantage and disadvantage) is inconsistent. Therefore, we aimed to examine obesity, lifestyle behaviours, physical activity in different domains and demographics in men using area-based SES.

Methods : We performed a descriptive cross-sectional study of 1467 randomly selected white men (mean age 56 year (inter-quartile range (IQR) = 39–73 year)) recruited from the Barwon Statistical Division, South Western Victoria, Australia between 2001–06.

Results : Age-adjusted BMI, waist circumference, % fat and lean mass and blood pressure were inversely associated with SES, with differences between low and upper SES (P for difference <0.05), independent of country of birth. Age-adjusted lifestyle behaviours associated with obesity and/or adverse health (especially cardiovascular disease), were also associated with lower SES.

Conclusions : Subjects from lower SES had greater measures of obesity despite being more physically active at work, but were less likely to be physically active in the domains of sports and/or leisure. These findings suggest the possible influence of lifestyle behaviours and occupation upon obesity in men and should be investigated further.

BMD in population-based adult women is associated with socioeconomic status

With few exceptions, an inverse relationship exists between social disadvantage and disease. However, there are conflicting data for the relationship between socioeconomic status (SES) and BMD. The aim of this study was to assess the association between SES and lifestyle exposures in relation to BMD. In a cross-sectional study conducted using 1494 randomly selected population-based adult women, we assessed the association between SES and lifestyle exposures in relation to BMD. BMD was measured at multiple anatomical sites by DXA. SES was determined by cross-referencing residential addresses with Australian Bureau of Statistics 1996 census data for the study region and categorized in quintiles. Lifestyle variables were collected by self-report. Regression models used to assess the relationship between SES and BMD were adjusted for age, height, weight, dietary calcium, smoking, alcohol consumption, physical activity, hormone therapy, and calcium/vitamin D supplements. Unadjusted BMD differed across SES quintiles (p < 0.05). At each skeletal site and SES index, a consistent peak in adjusted BMD was observed in the mid-quintiles. Differences in adjusted BMD were observed between SES quintiles 1 and 4 (3-7%) and between quintiles 5 and 4 (2-7%). At the spine, the maximum difference was observed (7.5%). In a subset of women, serum 25(OH)D explained a proportion of the association between SES and BMD (difference remained up to 4.2%). Observed differences in BMD across SES quintiles, consistent across both SES indices, suggest that low BMD may be evident for both the most disadvantaged and most advantaged.