Promoting children's social and emotional wellbeing in childcare centers within low socioeconomic areas: strategies, facilitators and challenges

Althought childcare centres have a vital role to play in the social and emotional development of children, the strategies used to promote children’s wellbeing in such settings are not well researched. This study aimed to identify the strategies, facilitators and key challenges for promoting children’s social and emotional wellbeing as reported by childcare directors and workers during semi-structured interviews. They reported mainly informal strategies with few formalised policies, curricula or strategies. Staff reported frequent difficulties communicating with parents and/or children due to many families speaking little or no English. Lack of staff training and inadequate resources for activities were other key challenges they identified. Perceived facilitators included staff having strong relationships with each other and sharing a common philosophy, as well as having an open door policy for parents. Systematic development of skills to promote children’s social and emotional wellbeing could help leverage childcare staff’s potential to promote children’s wellbeing during a crucial stage of child development.

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.

Socioeconomic status and risk factors for obesity and metabolic disorders in a population-based sample of adult females

Objectives : The association between lower socioeconomic status (SES), obesity, lifestyle choices and adverse health consequences are well documented, however to date the relationship between these variables and area-based SES (equivalised for advantage and disadvantage) has not been examined simultaneously in one population or with more than tertiary divisions of SES. We set out to examine the risk factors for obesity and metabolic disorders in the same population across quintiles of area-based SES.

Methods : We performed a descriptive cross-sectional study using existing data from a population-based random selection of women aged 20–92 years (n = 1110) recruited from the Barwon Statistical Division, South Eastern Australia.

Results : All measures of adiposity were inversely associated with SES, and remained significant after adjusting for age. Lifestyle choices associated with adiposity and poorer health, including smoking, larger serving sizes of foods, and reduced physical activity, were significantly associated with individuals from lower SES groups.

Conclusions : Greater measures of adiposity and less healthy lifestyle choices were observed in individuals from lower SES. Significant differences in body composition were identified between quintiles 1 and 5, whereas subjects in the mid quintiles had relatively similar measures. The inverse relationship between SES, obesity and less healthy lifestyle underscores the possibility that these associations may be causal and should be investigated further.

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.

Socioeconomic status and bone mineral density in a population-based sample of men

Overall, socioeconomic status (SES) is inversely associated with poorer health outcomes. However, current literature provides conflicting data of the relationship between SES and bone mineral density (BMD) in men. In an age-stratified population-based randomly selected cross-sectional study of men (n = 1467) we assessed the association between SES and lifestyle exposures in relation to BMD. SES was determined by matching the residential address for each subject with Australian Bureau of Statistics 2006 census data for the study region. BMD was measured at the spine and femoral neck by dual energy X-ray absorptiometry. Lifestyle variables were collected by self-report. Regression models were age-stratified into younger and older groups and adjusted for age, weight, dietary calcium, physical activity, and medications known to affect bone. Subjects with spinal abnormalities were excluded from analyses of BMD at the spine. In younger men, BMD was highest at the spine in the mid quintiles of SES, where differences were observed compared to quintile 1 (1–7%, p < 0.05). In older men, the pattern of BMD across SES quintiles was reversed, and subjects from mid quintiles had the lowest BMD, with differences observed compared to quintile 5 (1–7%, p < 0.05). Differences in BMD at the spine across SES quintiles represent a potential 1.5-fold increase in fracture risk for those with the lowest BMD. There were no differences in BMD at the femoral neck. Further research is warranted which examines the mechanisms that may underpin differences in BMD across SES quintiles and to address the current paucity of data in this field of enquiry.

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.

The association between socioeconomic status and osteoporotic fracture in population-based adults : a systematic review

Summary : Although socioeconomic status (SES) is inversely related to most diseases, this systematic review showed a paucity of good quality data examining influences of SES on osteoporotic fracture to confirm this relationship. Further research is required to elucidate the issue and any underlying mechanisms as a necessary precursor to considering intervention implications.

Introduction : The association between socioeconomic status (SES) and musculoskeletal disease is little understood, despite there being an inverse relationship between SES and most causes of morbidity. We evaluated evidence of SES as a risk factor for osteoporotic fracture in population-based adults.

Methods : Computer-aided search of Medline, EMBASE, CINAHL, and PsychINFO from January 1966 until November 2007 was conducted. Identified studies investigated the relationship between SES parameters of income, education, occupation, type of residence and marital status, and occurrence of osteoporotic fracture. A best-evidence synthesis was used to summarize the results.

Results : Eleven studies were identified for inclusion, which suggested a lack of literature in the field. Best evidence analysis identified strong evidence for an association between being married/living with someone and reduced risk of osteoporotic fracture. Limited evidence exists of the relationship between occupation type or employment status and fracture, or for type of residence and fracture. Conflicting evidence exists for the relationship between osteoporotic fracture and level of income and education.

Conclusion : Limited good quality evidence exists of the role SES might play in osteoporotic fracture. Further research is required to identify whether a relationship exists, and to elucidate underlying mechanisms, as a necessary precursor to considering intervention implications.

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.

Play, language and social skills of children attending a play-based curriculum school and a traditionally structured classroom curriculum school in low socioeconomic areas

Aim and method: A comparison study of four six-year-old children attending a school with a play-based curriculum and a school with a traditionally structured classroom from low socioeconomic areas was conducted in Victoria, Australia. Children’s play,
language and social skills were measured in February and again in August. At baseline assessment there was a combined sample of 31 children (mean age 5.5 years, SD 0.35 years; 13 females and 18 males). At follow-up there was a combined sample of 26
children (mean age 5.9 years, SD 0.35 years; 10 females, 16 males).
Results: There was no significant difference between the school groups in play, language, social skills, age and sex at baseline assessment. Compared to norms on a standardised assessment, all the children were beginning school with delayed play ability. At follow-up assessment, children at the play-based curriculum school had made significant gains in all areas assessed (p values ranged from 0.000 to 0.05). Children at the school with the traditional structured classroom had made significant positive gains in use of symbols in play (p < 0.05) and semantic language (p < 0.05). At follow-up, there were significant differences between schools in elaborate play (p < 0.000), semantic language (p < 0.000), narrative language (p < 0.01) and social connection (p < 0.01), with children in the play-based curriculum school having significantly higher scores in play, narrative language and language and lower scores in social disconnection.
Implications: Children from low SES areas begin school at risk of failure as skills in play, language and social skills are delayed. The school experience increases children’s skills, with children in the play-based curriculum showing significant improvements in all areas assessed. It is argued that a play-based curriculum meets children’s developmental and learning needs more effectively. More research is needed to replicate these results.

Projected socioeconomic disparities in the prevalence of obesity among Australian adults

Objective: To project prevalence of normal weight, overweight and obesity by educational attainment, assuming a continuation of the observed individual weight change in the 5-year follow-up of the national population survey, the Australian Diabetes, Obesity and Lifestyle study (AusDiab; 2000–2005).

Methods: Age-specific transition probabilities between BMI categories, estimated using logistic regression, were entered into education-level-specific, incidence-based, multi-state life tables. Assuming a continuation of the weight change observed in AusDiab, these life tables estimate the prevalence of normal weight, overweight and obesity for Australian adults with low (secondary), medium (diploma) and high (degree) levels of education between 2005 and 2025.

Results: The prevalence of obesity among individuals with secondary level educational attainment is estimated to increase from 23% in 2000 to 44% in 2025. Among individuals with a degree qualification or higher, it will increase from 14% to 30%. If all current educational inequalities in weight change could be eliminated, the projected difference in the prevalence of obesity by 2025 between the highest and lowest educated categories would only be reduced by half (to a 6 percentage point difference from 14 percentage points).

Conclusion: We predict that almost half of Australian adults with low educational status will be obese by 2025. Current trends in obesity have the potential to drive an increase in the absolute difference in obesity prevalence between educational categories in future years.

Implications: Unless obesity prevention and management strategies focus specifically on narrowing social inequalities in obesity, inequalities in health are likely to widen.

Cancer survival in Australia 1992–1997 : geographic categories and socioeconomic status

Cancer Survival in Australia 1992-1997 is the first national analysis of how cancer survival varies by socioeconomic status and geographic region. It presents an analysis of five-year relative survival proportions by geographic category and socioeconomic status for persons diagnosed with cancer during the years 1992-1997.This analysis is presented by age and sex for all cancers (Excluding non-melanocytic skin cancers) combined and for the following National Health Priority Area cancers - colorectal cancer, cancer of the lung, melanoma, cancer of the breast (females only), cancer of the cervix, cancer of the prostate, and non-Hodgkin's lymphoma.This report is the third in a series of three reports on relative survival after being diagnosed with cancer. It is an important reference for all those interested in the health of Australians.