Youth not in education, employment, or training (NEET) refers to the most vulnerable group in the transition from school to work. While much research focuses on institutional factors behind the NEET ...incidence, the current study approaches the problem of the NEET youth from the perspective of non-cognitive skills. For measuring non-cognitive skills, the Big Five personality characteristics (openness, conscientiousness, extraversion, agreeableness, neuroticism) as well as grit were analyzed. The analysis was carried out using propensity score matching based on the data of the Russian Longitudinal Monitoring Survey (RLMS HSE) for 2016. This study shows that the majority of young people in the NEET group come from the poorest families. Nearly half of the NEET youth are not only not working, but they are also not looking for a job either. The analysis revealed that NEET youth fall behind in different non-cognitive abilities, with statistically significant differences in conscientiousness, extraversion, and grit, as well as a greater severity of neuroticism.
It has commonly been suggested (including by this author) that individual or household deprivation (for example, low income) is amplified by area level deprivation (for example, lack of affordable ...nutritious food or facilities for physical activity in the neighbourhood).
The idea of deprivation amplification has some intuitive attractiveness and helps divert attention away from purely individual determinants of diet and physical activity, and towards health promoting or health damaging features of the physical and social environment. Such environmental features may be modifiable, and environmental changes may help promote healthier behaviors. However, recent empirical examination of the distribution of facilities and resources shows that location does not always disadvantage poorer neighbourhoods. This suggests that we need: a) to ensure that theories and policies are based on up-to-date empirical evidence on the socio-economic distribution of neighbourhood resources, and b) to engage in further research on the relative importance of, and interactions between, individual and environmental factors in shaping behavior.
In this debate paper I suggest that it may not always be true that poorer neighbourhoods are more likely to lack health promoting resources, and to be exposed to more health damaging resources. The spatial distribution of environmental resources by area socioeconomic status may vary between types of resource, countries, and time periods. It may also be that the presence or absence of resources is less important than their quality, their social meaning, or local perceptions of their accessibility and relevance.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Abstract
Substantial gaps in national healthcare spending and disparities in cancer mortality rates are noted across counties in the US. In this cross-sectional analysis, we investigated whether ...differences in local county-level social vulnerability impacts cancer-related mortality. We linked county-level age-adjusted mortality rates (AAMR) from the Centers for Disease Control and Prevention (CDC) Wide-ranging Online Data for Epidemiologic Research database, to county-level Social Vulnerability Index (SVI) from the CDC Agency for Toxic Substances and Disease Registry. SVI is a metric comprising 15 social factors including socioeconomic status, household composition and disability, minority status and language, and housing type and transportation. AAMRs were compared between least and most vulnerable counties using robust linear regression models. There were 4 107 273 deaths with an overall AAMR of 173 per 100 000 individuals. Highest AAMRs were noted in older adults, men, non-Hispanic Black individuals, and rural and Southern counties. Highest mortality risk increases between least and most vulnerable counties were noted in Southern and rural counties, individuals aged 45-65, and lung and colorectal cancers, suggesting that these groups may face highest risk for health inequity. These findings inform ongoing deliberations in public health policy at the state and federal level and encourage increased investment into socially disadvantaged counties.
Gaps in national healthcare spending and disparities in cancer mortality rates are noted across counties in the US. This study investigated whether differences in local county-level social vulnerability impacts cancer-related mortality.
Although overall air quality has improved in the United States, air pollution remains unevenly distributed across neighborhoods, producing disproportionate environmental burdens for minoritized and ...socioeconomically disadvantaged residents for whom greater exposure to other structurally rooted neighborhood stressors is also more frequent. These interrelated dynamics and layered vulnerabilities each have well-documented associations with physical and psychological health outcomes; however, much remains unknown about the joint effects of environmental hazards and neighborhood socioeconomic factors on self-reported health status.
We examined the nexus of air pollution exposure, neighborhood socioeconomic disadvantage, and self-rated health (SRH) among adults in the United States.
This observational study used individual-level data from the Panel Study of Income Dynamics merged with contextual information, including neighborhood socioeconomic and air pollution data at the census tract and census block levels, spanning the period of 1999-2015. We estimated ordinary least squares regression models predicting SRH by 10-y average exposures to fine particulate matter particles
in aerodynamic diameter (
) and neighborhood socioeconomic disadvantage while controlling for individual-level correlates of health. We also investigated the interaction effects of air pollution and neighborhood socioeconomic disadvantage on SRH.
On average, respondents in our sample rated their health as 3.41 on a scale of 1 to 5. Respondents in neighborhoods with higher 10-y average
concentrations or socioeconomic disadvantage rated their health more negatively after controlling for covariates
(95% CI:
,
);
(95% CI:
,
), respectively. We also found that the deleterious associations of
exposure with SRH were weaker in the context of greater neighborhood socioeconomic disadvantage (
; 95% CI: 0.002, 0.011).
Study results indicate that the effects of air pollution on SRH may be less salient in socioeconomically disadvantaged neighborhoods compared with more advantaged areas, perhaps owing to the presence of other more proximate structurally rooted health risks and vulnerabilities in disinvested areas (e.g., lack of economic resources, health access, healthy food options). This intersection may further underscore the importance of meaningful involvement and political power building among community stakeholders on issues concerning the nexus of environmental and socioeconomic justice, particularly in structurally marginalized communities. https://doi.org/10.1289/EHP11268.
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CEKLJ, DOBA, IZUM, KILJ, NUK, OILJ, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK, VSZLJ
Based on a participatory research project on the practices and representations of young people in distressed neighborhoods, this article examines the contributions and limitations of a participatory ...approach in terms of scientific production. How does participation affect social science research? How does it challenge methodological and epistemological principles, knowledge building, and the nature of that knowledge? To what extent is it heuristically stimulating from this point of view?
To investigate the relationship between social deprivation and incident diabetes-related foot disease (DFD) in newly diagnosed patients with type 2 diabetes.
A population-based open retrospective ...cohort study using The Health Improvement Network (1 January 2005 to 31 December 2019) was conducted. Patients with type 2 diabetes free of DFD at baseline were stratified by Townsend deprivation index, and risk of developing DFD was calculated. DFD was defined as a composite of foot ulcer (FU), Charcot arthropathy, lower-limb amputation (LLA), peripheral neuropathy (PN), peripheral vascular disease (PVD), and gangrene.
A total of 176,359 patients were eligible (56% men; mean age 62.9 SD 13.1 years). After excluding 26,094 patients with DFD before/within 15 months of type 2 diabetes diagnosis, DFD incidentally developed in 12.1% of the study population over 3.27 years (interquartile range 1.41-5.96). Patients in the most deprived Townsend quintile had increased risk of DFD compared with those in the least deprived (adjusted hazard ratio aHR 1.22; 95% CI 1.16-1.29) after adjusting for sex, age at type 2 diabetes diagnosis, ethnicity, smoking, BMI, HbA
, cardiovascular disease, hypertension, retinopathy, estimated glomerular filtration rate, insulin, glucose/lipid-lowering medication, and baseline foot risk. Patients in the most deprived Townsend quintile had higher risk of PN (aHR 1.18; 95% CI 1.11-1.25), FU (aHR 1.44; 95% CI 1.17-1.77), PVD (aHR 1.40; 95% CI 1.28-1.53), LLA (aHR 1.75; 95% CI 1.08-2.83), and gangrene (aHR 8.49; 95% CI 1.01-71.58) compared with those in the least.
Social deprivation is an independent risk factor for the development of DFD, PN, FU, PVD, LLA, and gangrene in newly diagnosed patients with type 2 diabetes. Considering the high individual and economic burdens of DFD, strategies targeting patients in socially deprived areas are needed to reduce health inequalities.
Abstract
Background
Physical activity has numerous health benefits, but participation is lower in disadvantaged communities. ‘parkrun’ overcomes one of the main barriers for disadvantaged ...communities, the cost of activities, by providing a free, regular community-based physical activity event for walkers, runners and volunteers. This study assesses equity of access (in terms of distance to the nearest parkrun) stratified by socioeconomic deprivation, and identifies the optimal location for 100 new events to increase equity of access.
Methods
We combined information about population location and socioeconomic deprivation, with information about the location of 403 existing parkrun events, to assess the current level of access by deprivation quintile. We then used a two-step location-allocation analysis (minimising the sum of deprivation-weighted distances) to identify optimal regions, then optimal towns within those regions, as the ideal locations for 100 new parkrun events.
Results
Currently, 63.1% of the Australian population lives within 5 km of an event, and the average distance to an event is 14.5 km. A socioeconomic gradient exists, with the most deprived communities having the largest average distance to an event (27.0 km), and the least deprived communities having the best access (living an average 6.6 km from an event). Access improves considerably after the introduction of new event locations with around 68% of the population residing within 5 km of an event, and the average distance to the nearest event approximately 8 km. Most importantly, the improvement in access will be greatest for the most deprived communities (now an average 11 km from an event).
Conclusions
There is a socioeconomic gradient in access to parkrun events. Strategic selection of new parkrun locations will improve equity of access to community physical activity events, and could contribute to enabling greater participation in physical activity by disadvantaged communities.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
'Culturally And Linguistically Diverse (CALD)' populations have diverse languages, ethnic backgrounds, societal structures and religions. CALD populations have not experienced the same oral health ...benefits as non-CALD groups in Australia. However, the socio-demographic profile of Australian CALD populations is changing. This study examined how household income modifies the oral health of CALD and non-CALD adults in Australia.
Data were from two National Surveys of Adult Oral Health (NSAOH) conducted in 2004-06 (NSAOH 2004-06) and 2017-18 (NSAOH 2017-18). The outcome was self-reported number of missing teeth. CALD status was identified based on English not the primary language spoken at home and country of birth not being Australia. Social disadvantage was defined by total annual household income. Effect-measure modification was used to verify differences on effect sizes per strata of CALD status and household income. The presence of modification was indicated by Relative Excess Risk due to Interactions (RERIs).
A total of 14,123 participants took part in NSAOH 2004-06. The proportion identifying as CALD was 11.7% and 56.7% were in the low-income group, and the mean number of missing teeth was 6.9. A total of 15,731 participants took part in NSAOH 2017-18. The proportion identifying as CALD was 18.5% and 38.0% were in the low-income group, and the mean number of missing teeth was 6.2. In multivariable modelling, the mean ratio (MR) for CALD participants with low household income in 2004-06 was 2% lower than the MR among non-CALD participants with high household income, with the RERI being - 0.23. Non-CALD participants from lower income households had a higher risk of having a higher number of missing teeth than low income CALD individuals (MR = 1.66, 95%CI 1.57-1.74 vs. MR = 1.43 95%CI 1.34-1.52, respectively). In 2017-18, the MR for CALD participants with low household income was 3% lower than the MR among non-CALD participants with high household income, with the RERI being - 0.11. Low income CALD participants had a lower risk of missing teeth compared to their non-CALD counterparts (MR = 1.43, 95% CI 1.34-1.52 vs. MR = 1.57, 95% CI 1.50-1.64).
The negative RERI values indicate that the effect-measure modification operates in a negative direction, that is, there is a protective element to being CALD among low income groups with respect to mean number of missing teeth.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Despite the emerging literature on multigenerational stratification beyond two-generation models, our understanding of how disadvantages are transmitted over multiple generations at the bottom of the ...socioeconomic hierarchy is limited, with the lack of data on the extremely disadvantaged. We fill this research gap by investigating the legacy of the nobi system, a system by which individuals were treated as property and owned by the government or private individuals, upon social mobility across four generations. The formal abolition of the nobi system in 1801 provides an opportunity to assess the extent to which nobi great-grandfathers still mattered for great-grandsons’ upward mobility, more than six decades after the dismantling of the system. Korean household registers, which were compiled every three years during 1765–1894 in two villages on Jeju Island and incorporated a variety of individual demographic and social status information, allow us to link families across generations. We identify the social status of adult males recorded in 1864–94 registers as well as that of their fathers, grandfathers, and great-grandfathers. Logistic regression results show that the odds of attaining high status were substantially lower for adult males whose great-grandfathers were nobis than for those whose great-grandfathers held high- or middle-status positions, even after controlling for the social statuses of fathers and grandfathers. Despite the abolition of the nobi system and the rapid expansion of high-status positions throughout the nineteenth century, the upward mobility of descendants of nobi great-grandfathers was considerably restricted, revealing the continuity of disadvantages over multiple generations.
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BFBNIB, DOBA, INZLJ, IZUM, KILJ, NMLJ, NUK, ODKLJ, PILJ, PNG, PRFLJ, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK, ZRSKP
Background There is growing recognition of the contribution of the social determinants of health to the burden of many infectious diseases. However, the relationship between socioeconomic status and ...the incidence and outcome of melioidosis is incompletely defined. Methods All residents of Far North Queensland, tropical Australia with culture-proven melioidosis between January 1998 and December 2020 were eligible for the study. Their demographics, comorbidities and socioeconomic status were correlated with their clinical course. Socioeconomic status was determined using the Socio-Economic Indexes for Areas (SEIFA) Index of Relative Socio-economic Disadvantage score, a measure of socioeconomic disadvantage developed by the Australian Bureau of Statistics. Socioeconomic disadvantage was defined as residence in a region with a SEIFA score in the lowest decile in Australia. Results 321 eligible individuals were diagnosed with melioidosis during the study period, 174 (54.2%) identified as Indigenous Australians; 223/321 (69.5%) were bacteraemic, 85/321 (26.5%) required Intensive Care Unit (ICU) admission and 37/321 (11.5%) died. 156/321 (48.6%) were socioeconomically disadvantaged, compared with 56603/269002 (21.0%) of the local general population (p<0.001). Socioeconomically disadvantaged patients were younger, more likely to be female, Indigenous, diabetic or have renal disease. They were also more likely to die prior to hospital discharge (26/156 (16.7%) versus 11/165 (6.7%), p = 0.002) and to die at a younger age (median (IQR) age: 50 (38-68) versus 65 (59-81) years, p = 0.02). In multivariate analysis that included age, Indigenous status, the presence of bacteraemia, ICU admission and the year of hospitalisation, only socioeconomic disadvantage (odds ratio (OR) (95% confidence interval (CI)): 2.49 (1.16-5.35), p = 0.02) and ICU admission (OR (95% CI): 4.79 (2.33-9.86), p<0.001) were independently associated with death. Conclusion Melioidosis is disease of socioeconomic disadvantage. A more holistic approach to the delivery of healthcare which addresses the social determinants of health is necessary to reduce the burden of this life-threatening disease.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
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