There is compelling evidence for gradient effects of household income on school readiness. Potential mechanisms are described, yet the growth curve trajectory of maternal mental health in a child's early life has not been thoroughly investigated. We aimed to examine the relationships between household incomes, maternal mental health trajectories from antenatal to the postnatal period, and school readiness.

Prospective data from 505 mother–child dyads in a birth cohort in Singapore were used, including household income, repeated measures of maternal mental health from pregnancy to 2-years postpartum, and a range of child behavioural, socio-emotional and cognitive outcomes from 2 to 6 years of age. Antenatal mental health and its trajectory were tested as mediators in the latent growth curve models.

Household income was a robust predictor of antenatal maternal mental health and all child outcomes. Between children from the bottom and top household income quartiles, four dimensions of school readiness skills differed by a range of 0.52 (95% Cl: 0.23, 0.67) to 1.21 s.d. (95% CI: 1.02, 1.40). Thirty-eight percent of pregnant mothers in this cohort were found to have perinatal depressive and anxiety symptoms in the subclinical and clinical ranges. Poorer school readiness skills were found in children of these mothers when compared to those of mothers with little or no symptoms. After adjustment of unmeasured confounding on the indirect effect, antenatal maternal mental health provided a robust mediating path between household income and multiple school readiness outcomes (χ2 126.05, df 63, p < 0.001; RMSEA = 0.031, CFI = 0.980, SRMR = 0.034).

Pregnant mothers with mental health symptoms, particularly those from economically-challenged households, are potential targets for intervention to level the playing field of their children.

Although several studies in Western countries show that higher socioeconomic status is associated with higher diet quality, no study has observed this association in Japan. In the current study, we examined the association between diet quality and the combinations of age, sex, and household income, and also compared the dietary intake between diet quality levels according to household income.

Cross-sectional study.

National Health and Nutrition Survey, Japan in 2014.

2785 men and 3215 women.

Higher Japanese Food Guide Spinning Top scores (better diet quality) were observed in older women, especially those with higher household income, whereas lower scores were observed in younger men with lower household income. Those having low quality diet, especially in low income households, had higher odds of not meeting the recommended amounts of the Japanese dietary guidelines, than those having high quality diet.

Diet quality in Japanese adults differed by age and sex as well as by household income level. A different approach to diet quality improvement is needed according to population characteristics including not only age and sex but also social economic status.

To evaluate the quality of food choices according to adolescent individual earnings in Brazil.

Adolescents were classified according to their individual earnings as having or not having spending power for their own expenses. Food records from two non-consecutive days of the Brazilian National Dietary Survey (NDS 2008–2009) were used to estimate food intake. Quality of food choices was based on two approaches: (i) the NOVA classification, which classifies processed and ultra-processed foods and drinks as unhealthy food groups; and (ii) traditional classification, with beans, milk, fruits and vegetables as healthy food groups, and soft drinks, sweets, snacks and crackers classified as unhealthy. We compared mean food intake (g/kJ or ml/kJ) according to per capita household income (tertiles) and adolescent individual earnings, with adolescent earnings adjusted for household income, using multiple linear regression.

Brazilian households (n 13 569).

Adolescents aged 14–18 years (n 3673).

Males without individual earnings had higher per capita household income than those with individual earnings. Household income was associated with all three food groups of the NOVA classification and seven of the eight groups of the traditional classification. However, only beans and snacks were consumed in significantly greater quantities by adolescents with individual earnings compared with those without earnings.

Adolescent individual earnings were not the main driver of food choices; however, per capita household income was associated with food choices. The consumption of both healthy and unhealthy items increased with increasing household income.

The present study aimed to examine the association between household income and the intake of foods and nutrients by Japanese schoolchildren, and any differences between days with and without school lunch.

This was a cross-sectional study. Children, with the support of their parents, kept dietary records with photographs for 4 d (2 d with school lunch and 2 d without). The socio-economic status of each family was obtained from a questionnaire completed by the parents.

Japan.

All students in 5th grade (10–11 years old) at nineteen schools in four prefectures and their parents (1447 pairs of students and parents) were invited to take part in the study; 836 pairs of complete data sets were analysed.

The average results of four days of dietary records showed that lower income level was associated with a lower intake of fish/shellfish, green vegetables and sugar at the food group level, a lower intake of protein and several micronutrients, and a higher energy intake from carbohydrates at the nutrient level among the children. These associations between income and food/nutrient intake were not significant on days with school lunches, but were significant on days without school lunch.

Our study confirmed an association between household income and the amount of foods and nutrients consumed by Japanese schoolchildren, and suggested that school lunches play a role in reducing disparities in the diets of children from households with various incomes.

Suicide rates are high among elderly individuals experiencing socioeconomic insecurity. Socioeconomic security is of critical importance for elderly individuals and directly affects mental health, including suicidal behavior. Thus, we investigated the relationship between socioeconomic status and suicidal ideation in elderly individuals.

We conducted a cross-sectional study using data on 58,590 individuals 65 years of age or older from the Korean Community Health Survey 2013. Logistic regression analysis was used to identify relationships between socioeconomic factors (food insecurity, household income, and living arrangement) and suicidal ideation in the elderly population.

The study included 58,590 participants (24,246 males and 34,344 females). Of those, 2,847 males and 6,418 females experienced suicidal ideation. Participants with food insecure were more likely to experience suicidal ideation than were those who were food secure (males: OR = 1.60; 95% CI, 1.34–1.90; females: OR = 1.54; 95% CI, 1.38–1.72). We found a similar pattern among participants with a low household income and those living alone. Additionally, male and female subjects who were food insecure and living alone or food insecure and had a low household income showed a marked increase in suicidal ideation.

Our findings suggest that low socioeconomic status is associated with an increased risk of suicidal ideation among the elderly. Furthermore, intervention programs that address the prevalence of elderly suicide, particularly among those who are socioeconomically disadvantaged, are needed.

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 assess which socio-economic indicator best predicts overweight in the European Union: educational attainment, occupational class or household income.

The prevalence of overweight is strongly related to socio-economic position. The relative importance of different socio-economic dimensions is uncertain, and might vary between countries.

Cross-sectional self-report data of the European Community Household Panel were obtained from nine countries (n 52 855; age 25–64 years). Uni- and multivariate regression analyses were employed to predict overweight (BMI ≥ 25 kg/m2) in relationship to socio-economic indicators. Occupational class was measured using the new European Socioeconomic Classification.

Large socio-economic differences in overweight were observed in all countries, especially for women. For both sexes, a low educational attainment was the strongest predictor of overweight. After controlling for education, overweight was negatively related to household income in women, but positively in men. Similar patterns were found for occupational class. For women, but not for men, educational inequalities in overweight were generally greater in Southern European countries. A similar pattern of inequalities in overweight was observed for all ages between 25 and 64 years.

Across Europe, overweight was more strongly and more consistently related to educational attainment than to occupational class or household income. People with lower educational attainment should be a specific target group for programmes and policies that aim to prevent overweight.