We investigated disparities in the clinical management of self-harm following hospital presentation with self-harm according to level of socio-economic deprivation (SED) in England.

108 092 presentations to hospitals (by 57 306 individuals) after self-harm in the Multicenter Study of Self-harm spanning 17 years. Area-level SED was based on the English Index of Multiple Deprivation. Information about indicators of clinical care was obtained from each hospital's self-harm monitoring systems. We assessed the associations of SED with indicators of care using mixed effect models.

Controlling for confounders, psychosocial assessment and admission to a general medical ward were less likely for presentations by patients living in more deprived areas relative to presentations by patients from the least deprived areas. Referral for outpatient mental health care was less likely for presentations by patients from the two most deprived localities (most deprived: adjusted odd ratio [aOR] 0.77, 95% CI 0.71–0.83, p < 0.0001; 2nd most deprived: aOR 0.80, 95% CI 0.74–0.87, p < 0.0001). Referral to substance use services and ‘other’ services increased with increased SED. Overall, referral for aftercare was less likely following presentations by patients living in the two most deprived areas (most deprived: aOR 0.85, 95% CI 0.78–0.92, p < 0.0001; 2nd most deprived: aOR 0.86, 95% CI 0.79–0.94, p = 0.001).

SED is associated with differential care for patients who self-harm in England. Inequalities in care may exacerbate the risk of adverse outcomes in this disadvantaged population. Further work is needed to understand the reasons for these differences and ways of providing more equitable care.

To compare the distribution of malnutrition by socio-economic indicators (SEI) in Peruvian children under 5 years and women of reproductive age (WRA).

We analysed data from the National Demographic and Family Health Survey. WHO criteria were used to define malnutrition indicators (overweight/obesity combined (OW); wasting/underweight; stunting/short stature; anaemia). Linear combination test was used to compare the prevalence of malnutrition by SEI (wealth index as a proxy of socio-economic status (SES); education; ethnicity). Prevalence ratio (PR) was used to describe disparities and associations between malnutrition and SEI.

Peru (2015).

Children (n 22 833) under 5 years and WRA (n 33 503; 5008 adolescents and 28 495 adults).

The most prevalent form of malnutrition was anaemia (32·0 %) in children and OW in adolescent and adult WRA (31·3 and 65·1 %, respectively). Adjusted models showed that stunting and anaemia were significantly lower among children with high SES (PR = 0·25, 0·67), high-educated mothers (PR = 0·26, 0·76) and higher in indigenous children (PR = 1·3, 1·2); conversely, OW was higher among those with high SES and high-educated mothers (PR = 1·8, 1·6) compared with their lowest counterparts. In WRA, stunting/short stature was lower among those with high SES, high education and higher in indigenous adult women. OW in adolescents and adults was higher in high SES (PR = 1·4, 1·1), lower in indigenous adult women (PR = 0·84) and lower in high-educated adult women (PR = 0·86).

In the studied population, the distribution of malnutrition was associated with SEI disparities. Effective policies that integrate actions to overcome the double burden of malnutrition and reduce disparities are needed.

While economic crises can increase socio-economic disparities in health, little is known about the impact of the 2008–09 Great Recession on obesity prevalence among children, especially low-income children. The present study examined whether socio-economic disparities in obesity among children of pre-school age participating in a federal nutrition assistance programme have changed since the recession.

A pre–post observational study using administrative data of pre-school-aged programme participants from 2003 to 2014. Logistic regression was used to examine whether the relationship between obesity prevalence (BMI≥95th percentile of the Centers for Disease Control and Prevention’s growth charts) and three measures of socio-economic status (household income, household educational attainment, neighbourhood-level median household income) changed after the recession by examining the interaction between each socio-economic status measure and a 5-year time-period variable (2003–07 v. 2010–14), stratified by child’s age and adjusted for child’s sociodemographic characteristics.

Los Angeles County, California, USA.

Children aged 2–4 years (n 1 637 788) participating in the Special Supplemental Nutrition Program for Women, Infants, and Children.

The magnitude of the association of household income and household education with obesity increased after 2008–09 among 3- and 4-year-olds and 2- and 3-year-olds, respectively. However, the magnitude of the association of neighbourhood-level median household income with obesity did not change after 2008–09.

Disparities in obesity by household-level socio-economic status widened after the recession, while disparities by neighbourhood-level socio-economic status remained the same. The widening household-level socio-economic disparities suggest that obesity prevention efforts should target the most vulnerable low-income children.