Educational inequalities in cardiometabolic diseases (CMD) are globally recognised; nonetheless, the evidence on potential explanatory mechanisms and effective strategies for CMD prevention and inequality reduction is relatively scarce in Asia. Therefore, the current study examined the extent and potential mediators of the association of education level with CMD conditions (i.e., hypertension and diabetes) in an advanced economy in Asia.

A cross-sectional study.

This territory-wide cross-sectional Population Health Survey in 2014–2015 was performed in Hong Kong. Demographic, socio-economic and lifestyle factors were collected via questionnaire, while clinical data on blood pressure and glucose levels, lipid profiles and anthropometric measures were obtained during health examination. Hypertension and diabetes statuses were objectively defined by both clinical data and the use of relevant medications.

2297 community-dwelling adults aged between 15–84 years recruited via systematic replicated sampling of living quarters.

Multivariable binary logistic regression analysis showed that lower education level was significantly associated with hypertension among women but not men, whereas similar pattern was also observed for diabetes and other related clinical risk factors. Also, general and abdominal obesity were independently associated with hypertension and diabetes among both women and men, and substantially mediated the observed inequalities across education levels among women. Specifically, abdominal obesity was a particularly strong risk factor and mediator for diabetes.

Educational patterning of CMD was more apparent among women in Hong Kong. Obesity control appears to be important for both overall CMD prevention and reduction of educational inequalities in CMD among women.

To investigate the socio-economic differentials underlying minimum dietary diversity (MDD) among children aged 6–23 months in three economically diverse South-East Asian countries.

The outcome variable MDD was defined as the proportion of children aged 6–23 months who received foods from four of the seven recommended food groups within the 24 h prior to interview. The association between socio-economic factors and MDD, adjusting for relevant characteristics, was examined using logistic regression.

We used cross-sectional population data from recent Demographic and Health Surveys from Cambodia (2014), Myanmar (2015–16) and Indonesia (2012).

Total of 8364 children aged 6–23 months.

Approximately half of all children met the MDD, varying from 47·7 % in Cambodia (n 1023) to 58·2 % in Indonesia (n 2907) and 24·6 % in Myanmar (n 301). The likelihood (adjusted OR; 95 % CI) of meeting MDD increased for children in the richest households (Cambodia: 2·4; 1·7, 3·4; Myanmar: 1·8; 1·1, 3·0; Indonesia: 2·0; 1·6, 2·5) and those residing in urban areas (Cambodia: 1·4; 1·1, 1·9; Myanmar: 1·7; 1·2, 2·4; Indonesia: 1·7; 1·5, 1·9). MDD deprivation was most severe among children from the poorest households in rural areas. The association between mother’s labour force participation and MDD was positive in all three countries but reached significance only in Indonesia (1·3; 1·1, 1·5).

MDD deprivation among young children was significantly high in socio-economically disadvantaged families in all three study settings. MDD requirements are not being met for approximately half of young children in these three South-East Asian countries.

To investigate the associations of household and neighbourhood socio-economic position (SEP) with indicators of both under- and overnutrition in adolescents and to explore sex differences.

Analysis of anthropometric, household and neighbourhood SEP data from the Birth to Twenty Plus cohort born in 1990. Anthropometric outcomes were BMI (thinness, overweight and obesity) and percentage body fat (%BF; low, high). Associations between these and the household wealth index, caregiver education and neighbourhood SEP tertile measures were examined using binary logistic regression.

Johannesburg–Soweto, South Africa.

Adolescents aged 17–19 years (n 2019; 48·2 % men).

Women had a significantly higher combined prevalence of overweight/obesity (26·2 %) than men (8·2 %) whereas men had a significantly higher prevalence of thinness than women (22·2 % v. 10·6 %, respectively). Having a low neighbourhood social support index was associated with higher odds of high %BF in women (OR=1·59; 95 % CI 1·03, 2·44). A low household wealth index was associated with lower odds of both overweight (OR=0·31; 95 % CI 0·12, 0·76) and high %BF in men (OR=0·28; 95 % CI 0·10, 0·78). A low or middle household wealth index was associated with higher odds of being thin in men (OR=1·90; 95 % CI 1·09, 3·31 and OR=1·80; 95 % CI 1·03, 3·15, respectively). For women, a low household wealth index was associated with lower odds of being thin (OR=0·49; 95 % CI 0·25, 0·96).

The study highlights that even within a relatively small urban area the nutrition transition manifests itself differently in men and women and across SEP indicators. Understanding the challenges for different sexes at different ages is vital in helping to plan public health services.

To assess socio-economic differences in three components of nutrition knowledge, i.e. knowledge of (i) the relationship between diet and disease, (ii) the nutrient content of foods and (iii) dietary guideline recommendations; furthermore, to determine if socio-economic differences in nutrition knowledge contribute to inequalities in food purchasing choices.

The cross-sectional study considered household food purchasing, nutrition knowledge, socio-economic and demographic information. Household food purchasing choices were summarised by three indices, based on self-reported purchasing of sixteen groceries, nineteen fruits and twenty-one vegetables. Socio-economic position (SEP) was measured by household income and education. Associations between SEP, nutrition knowledge and food purchasing were examined using general linear models adjusted for age, gender, household type and household size.

Brisbane, Australia in 2000.

Main household food shoppers (n 1003, response rate 66·4 %), located in fifty small areas (Census Collectors Districts).

Shoppers in households of low SEP made food purchasing choices that were less consistent with dietary guideline recommendations: they were more likely to purchase grocery foods comparatively higher in salt, sugar and fat, and lower in fibre, and they purchased a narrower range of fruits and vegetables. Those of higher SEP had greater nutrition knowledge and this factor attenuated most associations between SEP and food purchasing choices. Among nutrition knowledge factors, knowledge of the relationship between diet and disease made the greatest and most consistent contribution to explaining socio-economic differences in food purchasing.

Addressing inequalities in nutrition knowledge is likely to reduce socio-economic differences in compliance with dietary guidelines. Improving knowledge of the relationship between diet and disease appears to be a particularly relevant focus for health promotion aimed to reduce socio-economic differences in diet and related health inequalities.

To provide the evidence base for targeted nutrition policies to reduce the risk of micronutrient/diet-related diseases among disadvantaged populations in Europe, by focusing on: folate, vitamin B12, Fe, Zn and iodine for intake and status; and vitamin C, vitamin D, Ca, Se and Cu for intake.

MEDLINE and Embase databases were searched to collect original studies that: (i) were published from 1990 to 2011; (ii) involved >100 subjects; (iii) had assessed dietary intake at the individual level; and/or (iv) included best practice biomarkers reflecting micronutrient status. We estimated relative differences in mean micronutrient intake and/or status between the lowest and highest socio-economic groups to: (i) evaluate variation in intake and status between socio-economic groups; and (ii) report on data availability.

Europe.

Children, adults and elderly.

Data from eighteen publications originating primarily from Western Europe showed that there is a positive association between indicators of socio-economic status and micronutrient intake and/or status. The largest differences were observed for intake of vitamin C in eleven out of twelve studies (5–47 %) and for vitamin D in total of four studies (4–31 %).

The positive association observed between micronutrient intake and socio-economic status should complement existing evidence on socio-economic inequalities in diet-related diseases among disadvantaged populations in Europe. These findings could provide clues for further research and have implications for public health policy aimed at improving the intake of micronutrients and diet-related diseases.

To investigate the sociodemographic determinants of diet quality of the elderly in four EU countries.

Cross-sectional study. For each country, a regression was performed of a multidimensional index of dietary quality v. sociodemographic variables.

In Finland, Finnish Household Budget Survey (1998 and 2006); in Sweden, SNAC-K (2001–2004); in the UK, Expenditure & Food Survey (2006–07); in Italy, Multi-purpose Survey of Daily Life (2009).

One- and two-person households of over-50s (Finland, n 2994; UK, n 4749); over-50 s living alone or in two-person households (Italy, n 7564); over-60 s (Sweden, n 2023).

Diet quality among the EU elderly is both low on average and heterogeneous across individuals. The regression models explained a small but significant part of the observed heterogeneity in diet quality. Resource availability was associated with diet quality either negatively (Finland and UK) or in a non-linear or non-statistically significant manner (Italy and Sweden), as was the preference for food parameter. Education, not living alone and female gender were characteristics positively associated with diet quality with consistency across the four countries, unlike socio-professional status, age and seasonality. Regional differences within countries persisted even after controlling for the other sociodemographic variables.

Poor dietary choices among the EU elderly were not caused by insufficient resources and informational measures could be successful in promoting healthy eating for healthy ageing. On the other hand, food habits appeared largely set in the latter part of life, with age and retirement having little influence on the healthiness of dietary choices.

A low socio-economic status (SES) is related to less healthy dietary habits, but the reasons for this remain unclear. We examined whether the absolute or relative importance of various food choice motives contributed to SES disparities in vegetable/fruit and energy-dense food intake.

We analysed cross-sectional data from the FINRISK Study 2007 by means of structural equation modelling and used a shortened version of the Food Choice Questionnaire to assess the absolute importance of health, pleasure, convenience, price, familiarity and ethicality motives. We calculated the relative importance of each motive by dividing the participant's rating of it by his/her mean score on all motives. Dietary intake was measured with an FFQ.

A population-based survey in Finland.

Men (n 1691) and women (n 2059) aged 25–64 years.

Higher education and income were related to a greater vegetable/fruit intake (β = 0·12, P < 0·001), while education was associated negatively with the consumption of energy-dense foods (β = −0·09, P < 0·001). Socio-economically disadvantaged individuals considered price and/or familiarity more important in their food choices in both absolute and relative terms. A higher income was related to a greater relative importance of health considerations. Relative motives were more strongly associated with vegetable/fruit and energy-dense food consumption than absolute motives and the relative importance of price, familiarity and health partly mediated the effects of the SES indicators on the consumption of these food items.

Individual priorities in food choice motives, rather than the absolute importance of single motives, play a role in producing SES disparities in diet.

To describe breakfast habits at food group level in European adolescents and to investigate the associations between these habits and sociodemographic factors.

Cross-sectional study.

Secondary schools from nine European cities participating in the HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence) Study. Breakfast habits were assessed twice using a computer-based 24 h dietary recall. Adolescents who consumed breakfast on at least one recall day were classified as ‘breakfast consumers’ and adolescents who did not have anything for breakfast on either of the two recall days were considered ‘breakfast skippers’. A ‘breakfast quality index’ to describe breakfast quality was created based on the consumption or non-consumption of cereals/cereal products, dairy products and fruits/vegetables. The sociodemographic factors studied were sex, age, region of Europe, maternal and paternal education, family structure and family affluence.

Adolescents (n 2672, 53 % girls) aged 12–17 years.

The majority of the adolescents reported a breakfast that scored poorly on the breakfast quality index. Older adolescents, adolescents from the southern part of Europe and adolescents from families with low socio-economic status were more likely to consume a low-quality breakfast.

The study highlights the need to promote the consumption of a high-quality breakfast among adolescents, particularly in older adolescents, adolescents from southern Europe and adolescents from families with low socio-economic status, in order to improve public health.

The purpose of this paper is to review methods and tools for mapping, visualising and exploring geographic information to aid in primary health care (PHC) research and development.

Mapping and spatial analysis of indicators of locality health profiles and healthcare needs assessment are well-established facets of health services research and development. However, while there are a range of different methods and tools used for these purposes, non-specialists responsible for managing the use of such information systems may find knowing where to start and what can be done a relatively steep learning curve. In this review, health and sociodemographic datasets are used to illustrate some key methods, tools and organisational issues, and builds upon two recent reviews in this journal, respectively, focusing on geographic data sources and geographic concepts. Those familiar with mapping and spatial analysis should find this a useful review of current matters.

A thematic review is presented with illustrative case studies relevant to PHC. It begins with a section on visualising and interpreting geographic information. This is followed by a section critiquing analytical methods. Consideration is given to software and deployment issues in a third section. Content is based on domain knowledge of the authors as a team of geographic information scientists and a public health practitioner working in tandem, with its scope restricted to routine applications of mapping and analysis. Advanced techniques such as spatio-temporal modelling are not considered, neither are methodological technicalities, although guidance on further reading is provided.

Geographical perspectives are now playing a significant role in PHC delivery, and for those engaged in informatics and/or managing population-level care, understanding key geographic information systems methods and terminologies are important as is gaining greater familiarity with institutional aspects of implementation.

To document socio-economic differences in exposure to food advertising, including advertisements for foods high in fat, salt and sugar (HFSS) as defined by the UK Food Standards Agency's Nutrient Profiling Model.

A cross-sectional survey. Information (including product advertised and viewing figures) on all advertisements broadcast in one UK region over one week (6–12 July 2009) was obtained. Food advertisements were identified and linked to nutritional information on the content of advertised foods.

UK Tyne-Tees television region.

Data were sourced from a UK-wide television viewing panel.

Eleven per cent of advertising seen was for food and 63 % of food advertising seen was for HFSS foods. The proportion of all advertising seen that was for food was smaller among viewers in the least v. most affluent social grade (OR = 0·98, 99 % CI 0·95, 1·00). There was no difference in the proportion of food advertising seen that was for HFSS food between viewers in the most and least affluent social grades. Total exposure to both all food advertising and HFSS food advertising was 2·1 times greater among the least v. the most affluent viewers.

While the least affluent viewers saw relatively fewer food advertisements, their absolute exposure to all food and HFSS food advertisements was higher than that of the most affluent viewers. Current UK restrictions prohibit advertisements for HFSS foods during programmes with a high proportion of child viewers. Extending these to all programming may reduce socio-economic inequalities in exposure to these advertisements and in diet and obesity.

To examine socio-economic differences in the frequency and types of takeaway foods consumed.

A cross-sectional postal survey.

Participants were asked about their usual consumption of overall takeaway food (<4 times/month or ≥4 times/month) and of twenty-two specific takeaway food items (<1 time/month or ≥1 time/month); these latter foods were grouped into ‘healthy’ and ‘less healthy’ choices. Socio-economic position was measured on the basis of educational level and equivalised household income, and differences in takeaway food consumption were assessed by calculating prevalence ratios using log binomial regression.

Adults aged 25–64 years from Brisbane, Australia, were randomly selected from the electoral roll (n 903; 63·7 % response rate).

Compared with their more educated counterparts, the least educated were more regular consumers of overall takeaway food and fruit or vegetable juice and less regular consumers of sushi. For the ‘less healthy’ items, the least educated more regularly consumed potato chips, savoury pies, fried chicken and non-diet soft drinks; however, the least educated were less likely to consume curry. Household income was not associated with overall takeaway consumption. The lowest-income group was a more regular consumer of fruit or vegetable juice compared with the highest-income group. Among the ‘less healthy’ items, the lowest-income group was a more regular consumer of fried fish, ice cream and milk shakes, whereas curry was consumed less regularly.

The frequency and types of takeaway foods consumed by socio-economically disadvantaged groups may contribute to inequalities in overweight or obesity and to chronic disease.

To identify Greek families in which all members were overweight or obese (XXL families) and to describe their profile with regard to their socio-economic status and their eating behaviours and practices.

A prospective cohort study.

The metropolitan area of Kavala.

We recruited children aged 11 and 12 years from twelve primary schools, and their parents, from volunteers. Auxologic measurements of the children included height and weight. A structured questionnaire pertaining to information on the socio-economic status of the family, anthropometric values and educational status of parents, dietary habits and the availability of various food products and beverages at home, as well as dietary intake, physical activity, time spent sleeping and time spent watching television, was filled in by one of the parents of each child. A total of 331 families finally participated.

In sixty-one families (18·43 %) both parents and child were either overweight or obese (XXL family), and in seven of these families all members were obese. Only twenty-eight families (8·46 %) had all members with a normal BMI. The XXL family was associated with lower educational status of both parents, whereas a higher percentage of XXL families resided in rural areas and had lower income. Skipping breakfast and spending more than 3 h in front of a screen every day were more frequently observed in XXL families. With regard to the availability of various food products and beverages at home, no significant differences were observed between XXL families and the rest of the studied families.

Greek XXL families have lower educational status and lower annual income.

To explore differences in the prevalence of outdoor food advertising, and the type and nutritional content of advertised foods, according to an area-based marker of socio-economic position (SEP) in a city in Northern England.

All outdoor advertisements in the city were identified during October–December 2009, their size (in m2) estimated and their location determined using a global positioning system device. Advertisements were classified as food or non-food. Food advertisements were classified into one of six food categories. Information on the nutritional content of advertised foods was obtained from packaging and manufacturer's websites. An area-based marker of SEP was assigned using the location of each advertisement, grouped into three affluence tertiles for analysis.

A city in Northern England.

None.

In all, 1371 advertisements were identified; 211 (15 %) of these were for food. The advertisements covered 6765 m2, of which 1326 m2 (20 %) was for food. Total advertising and food advertising space was largest in the least affluent tertile. There was little evidence of socio-economic trends in the type or nutritional content of advertised foods.

Despite an absence of socio-economic differences in the type and nutritional content of advertised foods, there were socio-economic differences in food advertising space. There may also be socio-economic differences in exposure to outdoor food advertising.

To assess the relationship between several socio-economic indicators and frequency of consumption of seven predefined healthy foods (consumption of fruit, vegetables, wholegrain bread, vegetable-fat spread, vegetable cooking fat, low-fat milk and low-fat cheese) in populations from Eastern, Central and Western Europe.

Analysis of baseline data collected in two cross-sectional cohort studies between 2000 and 2005: the Health, Alcohol and Psychosocial factors In Eastern Europe (HAPIEE) study and the Finnish Helsinki Health Study (HHS).

Urban populations in the Czech Republic, Russia, Poland and Finland.

In the HAPIEE study, random samples of men and women aged 45–69 years were drawn from population registers and electoral lists of selected cities. In the HHS, men and women aged 40–60 years employed by the City of Helsinki were recruited. Data on 21 326 working subjects from both cohorts were analysed.

Healthy food habits were, in general, positively associated with higher education, occupational position and fewer economic difficulties, but there were differences in the strength of the gradient by food and country. Fruit consumption showed the most consistent gradients, especially in relation to socio-economic status among men (country-specific relative index of inequality (RII) = 2·02–5·17) and women (RII = 2·09–3·57).

The associations between socio-economic indicators and healthy food habits showed heterogeneity between countries. Future studies of dietary behaviours should consider multiple measures of socio-economic position.

Parental characteristics influence the risk of offspring suicide. In this study we wanted to separate the hereditary from the environmental influence of such factors by comparing their effects in the adopted versus non-adopted.

A register study was conducted in a national cohort of 2 471 496 individuals born between 1946 and 1968, including 27 600 national adoptees, followed-up for suicide during 1987–2001. Cox regression was used to calculate hazard ratios (HR) for suicide of socio-economic indicators of the childhood household and biological parents' suicide, alcohol abuse and psychiatric morbidity separately in the adopted and non-adopted. Differences in effects were tested in interaction analyses.

Suicide and indicators of severe psychiatric disorder in the biological parents had similar effects on offspring suicide in the non-adopted and adopted (HR 1.5–2.3). Biological parents' alcohol abuse was a risk factor for suicide in the non-adopted group only (HR 1.8 v. 0.8, interaction effect: p=0.03). The effects of childhood household socio-economic factors on suicide were similar in adopted and non-adopted individuals, with growing up in a single parent household [HR 1.5 (95% confidence interval 1.4–1.5)] as the most important socio-economic risk factor for the non-adopted.

The main familial effects of parental suicide and psychiatric morbidity on offspring suicide are not mediated by the post-natal environment or imitation, in contrast to effects of parental alcohol abuse that are primarily mediated by the post-natal environment. Social drift over generations because of psychiatric disorders does not seem likely to explain the association of socio-economic living conditions in childhood to suicide.