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The literature on neighbourhood effects suggests that the lack of social mobility of some groups has a spatial dimension. It is thought that those living in the most deprived neighbourhoods are the least likely to achieve upward mobility because of a range of negative neighbourhood effects. Most studies investigating such effects only identify correlations between individual outcomes and their residential environment and do not take into account that selection into neighbourhoods is a non-random mechanism. This paper investigates occupational mobility between 1991 and 2001 for those who were employed in Scotland in 1991 by using unique longitudinal data from Scottish Longitudinal Study (SLS). We add to the existing literature by investigating neighbourhood effects on occupational mobility separately for social renters, private renters and home owners. We find that ‘neighbourhood effects’ are strongest for home owners, which is an unexpected finding. We argue that the correlation between characteristics of the residential environment and occupational mobility can be explained by selection effects: homeowners with the least resources, who are least likely to experience upward mobility, are also most likely to sort into the most deprived neighbourhoods. Social housing tenants experience less selective sorting across neighbourhoods as other than market forces are responsible for the neighbourhood sorting mechanism.

The research reported in this paper examines the nature and extent of socio-spatial mobility in the United Kingdom. In contrast with previous studies, we do not only investigate who moves out of deprived neighbourhoods, but our models cover the entire spectrum of neighbourhoods and provide a more complete interpretation of the process of mobility across socio-spatial structures. We use the Index of Multiple Deprivation (IMD) to classify neighbourhoods defined as small areas containing approximately 1500 people. We use the data from all available waves of the British Household Panel Survey (BHPS) to trace moves between these neighbourhoods, classified into deprivation deciles. We define upward sociospatial mobility as moving to neighbourhoods with lower levels of deprivation. The focus on residential choices and the outcomes – residential sorting – allows us to measure the fluidity of the British social structure. We show that restricted ability to compete for the better neighbourhoods combines with residence in neighbourhoods with relatively high degrees of deprivation to limit opportunities for social mobility. The analysis shows that education and income play critical roles in the ability of individuals to make neighbourhood and decile gains when they move. There are also powerful roles of being unemployed and being (and becoming) a social renter. Both these latter effects combine to seriously restrict the possibilities for socio-spatial movement for certain groups. The results suggest serious structural barriers to socio-spatial mobility in British society, barriers which are directly related to the organisation of the housing market.

Most studies investigating residential segregation of ethnic minorities ignore the fact that the majority of adults live in couples. In recent years there has been a growth in the number of mixed ethnic unions that involve a minority member and a white member. To our knowledge, hardly any research has been undertaken to explicitly examine whether the ethnic mix within households has an impact on the residential choices of households in terms of the ethnic mix of destination neighbourhoods. Our study addresses this research gap and examines the tendencies of migration among mixed ethnic unions in comparison with their co-ethnic peers. We used data from the Longitudinal Study for England and Wales. Our statistical analysis supports the spatial assimilation theory: ethnic minorities move towards less deprived areas and to a lesser extent also towards less ethnically concentrated areas. However, the types of destination neighbourhood of minority people living in mixed ethnic unions varied greatly with the ethnicity of the ethnic minority partner.

The research reported in this paper examines the nature and extent of socio-spatial mobility in the United Kingdom. In contrast with previous studies, we do not only investigate who moves out of deprived neighbourhoods, but our models cover the entire spectrum of neighbourhoods and provide a more complete interpretation of the process of mobility across socio-spatial structures. We use the Index of Multiple Deprivation (IMD) to classify neighbourhoods defined as small areas containing approximately 1500 people. We use the data from all available waves of the British Household Panel Survey (BHPS) to trace moves between these neighbourhoods, classified into deprivation deciles. We define upward sociospatial mobility as moving to neighbourhoods with lower levels of deprivation. The focus on residential choices and the outcomes – residential sorting – allows us to measure the fluidity of the British social structure. We show that restricted ability to compete for the better neighbourhoods combines with residence in neighbourhoods with relatively high degrees of deprivation to limit opportunities for social mobility. The analysis shows that education and income play critical roles in the ability of individuals to make neighbourhood and decile gains when they move. There are also powerful roles of being unemployed and being (and becoming) a social renter. Both these latter effects combine to seriously restrict the possibilities for socio-spatial movement for certain groups. The results suggest serious structural barriers to socio-spatial mobility in British society, barriers which are directly related to the organisation of the housing market.

Most studies investigating residential segregation of ethnic minorities ignore the fact that the majority of adults live in couples. In recent years there has been a growth in the number of mixed ethnic unions that involve a minority member and a white member. To our knowledge, hardly any research has been undertaken to explicitly examine whether the ethnic mix within households has an impact on the residential choices of households in terms of the ethnic mix of destination neighbourhoods. Our study addresses this research gap and examines the tendencies of migration among mixed ethnic unions in comparison with their co-ethnic peers. We used data from the Longitudinal Study for England and Wales. Our statistical analysis supports the spatial assimilation theory: ethnic minorities move towards less deprived areas and to a lesser extent also towards less ethnically concentrated areas. However, the types of destination neighbourhood of minority people living in mixed ethnic unions varied greatly with the ethnicity of the ethnic minority partner.

Background Using Newcastle 85+ Study data, we investigated transitions between frailty states from age 85 to 90 years and whether multi-morbidities and socioeconomic status (SES) modify transitions. Methods The Newcastle 85+ Study is a prospective, longitudinal cohort study of all people born in 1921 in Newcastle and North Tyneside. Data included: a multidimensional health assessment; general practice record review (GPRR) and date of death. Using the Fried phenotype (participants defined as robust, pre-frail or frail), frailty was measured at baseline, 18, 36 and 60 months. Results Frailty scores were available for 82% (696/845) of participants at baseline. The prevalence of frailty was higher in women (29.7%, 123/414) than men (17.7%, 50/282) at baseline and all subsequent time points. Of those robust at baseline, 44.6% (50/112) remained robust at 18 months and 28% (14/50) at age 90. Most (52%) remained in the same state across consecutive interviews; only 6% of the transitions were recovery (from pre-frail to robust or frail to pre-frail), and none were from frail to robust. Four or more diseases inferred a greater likelihood of progression from robust to pre-frail even after adjustment for SES. SES did not influence the likelihood of moving from one frailty state to another. Conclusions Almost half the time between age 85 and 90, on average, was spent in a pre-frail state; multi-morbidity increased the chance of progression from robust and to frail; greater clinical intervention at the onset of a first chronic illness, to prevent transition to multi-morbidity, should be encouraged.

Persistently low employment of women in some countries can still be ascribed to a traditional perception of women’s role in society. According to observed data and prevailing social and cultural norms, women have been bearing the primary burdens of housework, childcare, and other family responsibilities. The unequal share of care responsibilities between women and men further worsens the disadvantages of women in balancing public and private life, with an impact on their employment and health outcomes. In this paper we investigate the role of family responsibilities in shaping employment and health outcomes by gender, in Italy and France, during and after the economic downturn. We use data from the European Union Statistics on Income and Living Conditions for the time windows of 2007–2010 and 2011–2014. Our results support that gender differences in the share of responsibilities roles in the public and private sphere influence the employability and health perception of women.

Aims - Genoa is a city hit by a strong economic, demographic and social involution. The changes in the demographic and socio-economic (SE) situation were analysed and the capacity of two Socio-Economic and Health Deprivation Indices (SEHDI) in describing the evolutions of the recent period were verified. Material and Methods – The data about the evolution of demographic and SE situation in Genoa came from publications of Statistics Offices of Genoa Municipality and Liguria Region and from published analyses of Bank of Italy. The two SEHDIs, referring to 2001 and 2011 population, were computed at census tract level by linear regression, factor and clusters analyses and had been already validated and published. Results – Wide transformations in aging and population composition by age groups and gender occurred in Genoa between 1951 and 2016. Internal (from other Italian regions) and external (from other countries) migrations concurred to change the profile of Genoese population. These changes followed the industrial history of city and its deindustrialization occurred since 2001. A progressive SE involution, worsened by the Italian and international crises, carried out the recent impoverishment of the city. Between 2001 and 2011 the population at medium-high deprivation increased and the SEHDIs 2001 and 2011 contributed to describe the population distribution by deprivation groups, either geographically, and by groups of citizenships (Italians and Foreigners). The first identified in 2001 some aspects of a well-off society regarding education, labour market and characteristics of the family and housing structure. The second depicted in 2011 an impoverished society in aging, lack of family support and of property of the main house, diminishing of educational level. Discussion - Genoa city demonstrated an its own specific decline. Starting from the deindustrialization, a worsening of welfare, independently from the national and international economic troubles, was evident. The aging and the changed equilibria among age groups testified the growing difficulties of society in keeping up with the deep social and economic changes. The results demonstrated that specific deprivation indices aid to better define the populations under analysis, because they identify the subpopulations that could have the maximum benefit from investments of resources targeted to the correction of inequalities., Journal of Preventive Medicine and Hygiene, Vol. 62 No. 3 (2021): 2021623

Background Behavioral mitigation strategies to slow the spread of COVID-19 have resulted in sweeping lifestyle changes, with short- and long-term psychological, well-being, and quality of life implications. The Attitudes About COVID-19 and Health (ATTACH) study focuses on understanding attitudes and beliefs while considering the impact on mental and physical health and the influence of broader demographic and geographic factors on attitudes, beliefs, and mental health burden. Objective In this assessment of our first wave of data collection, we provide baseline cohort description of the ATTACH study participants in the United Kingdom, the United States, and Mexico. Additionally, we assess responses to daily poll questions related to COVID-19 and conduct a cross-sectional analysis of baseline assessments collected in the UK between June 26 and October 31, 2020. Methods The ATTACH study uses smartphone app technology and online survey data collection. Participants completed poll questions related to COVID-19 2 times daily and a monthly survey assessing mental health, social isolation, physical health, and quality of life. Poll question responses were graphed using 95% Clopper–Pearson (exact) tests with 95% CIs. Pearson correlations, hierarchical linear regression analyses, and generalized linear models assessed relationships, predictors of self-reported outcomes, and group differences, respectively. Results By October 31, 2020, 1405, 80, and 90 participants had consented to participate in the UK, United States, and Mexico, respectively. Descriptive data for the UK daily poll questions indicated that participants generally followed social distancing measures, but worry and negative impacts on families increased as the pandemic progressed. Although participants generally reported feeling that the reasons for current measures had been made clear, there was low trust that the government was doing everything in its power to meet public needs. In the UK, 1282 participants also completed a monthly survey (94.99% [1326/1396] White, 72.22% [1014/1404] female, and 20.12% [277/1377] key or essential workers); 18.88% (242/1282) of UK participants reported a preexisting mental health disorder, 31.36% (402/1282) reported a preexisting chronic medical illness, and 35.11% (493/1404) were aged over 65; 57.72% (740/1282) of participants reported being more sedentary since the pandemic began, and 41.89% (537/1282) reported reduced access to medical care. Those with poorer mental health outcomes lived in more deprived neighborhoods, in larger households (Ps Conclusions Communities who have been exposed to additional harm during the COVID-19 pandemic were experiencing worse mental outcomes. Factors including having a medical condition, or living in a deprived neighborhood or larger household were associated with heightened risk. Future longitudinal studies should investigate the link between COVID-19 exposure, mental health, and sociodemographic and residential characteristics.

BACKGROUND: Excess deaths during the COVID-19 pandemic compared with those expected from historical trends have been unequally distributed, both geographically and socioeconomically. Not all excess deaths have been directly related to COVID-19 infection. We investigated geographical and socioeconomic patterns in excess deaths for major groups of underlying causes during the pandemic.METHODS: Weekly mortality data from 27/12/2014 to 2/10/2020 for England and Wales were obtained from the Office of National Statistics. Negative binomial regressions were used to model death counts based on pre-pandemic trends for deaths caused directly by COVID-19 (and other respiratory causes) and those caused indirectly by it (cardiovascular disease or diabetes, cancers, and all other indirect causes) over the first 30 weeks of the pandemic (7/3/2020-2/10/2020).FINDINGS: There were 62,321 (95% CI: 58,849 to 65,793) excess deaths in England and Wales in the first 30 weeks of the pandemic. Of these, 46,221 (95% CI: 45,439 to 47,003) were attributable to respiratory causes, including COVID-19, and 16,100 (95% CI: 13,410 to 18,790) to other causes. Rates of all-cause excess mortality ranged from 78 per 100,000 in the South West of England and in Wales to 130 per 100,000 in the West Midlands; and from 93 per 100,000 in the most affluent fifth of areas to 124 per 100,000 in the most deprived. The most deprived areas had the highest rates of death attributable to COVID-19 and other indirect deaths, but there was no socioeconomic gradient for excess deaths from cardiovascular disease/diabetes and cancer.INTERPRETATION: During the first 30 weeks of the COVID-19 pandemic there was significant geographic and socioeconomic variation in excess deaths for respiratory causes, but not for cardiovascular disease, diabetes and cancer. Pandemic recovery plans, including vaccination programmes, should take account of individual characteristics including health, socioeconomic status and place of residence.FUNDING: None.

It is often stated that sleep deprivation is on the rise, with work suggested as a main cause. However, the evidence for increasing sleep deprivation comes from surveys using habitual sleep questions. An alternative source of information regarding sleep behaviour is time-use studies. This paper investigates changes in sleep time in the UK using the two British time-use studies that allow measuring "time in bed not asleep" separately from "actual sleep time". Based upon the studies presented here, people in the UK sleep today 43 min more than they did in the 1970s because they go to bed earlier (~30 min) and they wake up later (~15 min). The change in sleep duration is driven by night sleep and it is homogeneously distributed across the week. The former results apply to men and women alike, and to individuals of all ages and employment status, including employed individuals, the presumed major victims of the sleep deprivation epidemic and the 24/7 society. In fact, employed individuals have experienced a reduction in short sleeping of almost 4 percentage points, from 14.9% to 11.0%. There has also been a reduction of 15 percentage points in the amount of conflict between workers work time and their sleep time, as measured by the proportion of workers that do some work within their "ideal sleep window" (as defined by their own chronotype). ispartof: JOURNAL OF SLEEP RESEARCH vol:28 issue:1 ispartof: location:England status: published

Вхождение Российской Федерации в Евразийский экономический союз обусловило ужесточение требований, предъявляемых к показателям безопасности алкогольной продукции, в том числе к упаковочным средствам. Алкогольные напитки хранятся и даже выдерживаются в упаковке, поэтому укупорочный материал – корковая пробка может существенно влиять на качество напитка. В связи с этим к корковым пробкам предъявляются требования безопасности в форме контроля содержания формальдегида. Существующие способы его идентификации достаточно трудоемки и весьма затратны, а также предусматривают использование дорогостоящего оборудования. Предлагаемый метод определения содержания формальдегида, выделяющегося из корковых пробок в модельные среды, разработан на основе мицеллярной электрокинетической капиллярной хроматографии с использованием процесса дериватизации контролируемого соединения раствором 2,4-динитрофенилгидразин (2,4-ДНФГ) в ацетонитриле, содержащем 5% уксусной кислоты. Для исследования использовали систему Капель 105, снабженную УФ-детектором с переменной длиной волны, кварцевые капилляры диаметром 75 мкм и общей длиной 60 см (50,5 см до детектора). Рабочие растворы формальдегида готовили ежедневно путем соответствующего разбавления образцов исходного раствора водой. Калибровочные графики были рассчитаны для шести концентраций – 2, 5, 10, 20, 40 и 100 мг/л стандартов в двух повторностях. В образцы – модельные среды, полученные при исследовании образцов корковых пробок, добавляли определенное количество стандартного раствора формальдегида и проводили процедуру дериватизации. УФ-детектирование производных 2,4-ДНФГ проводили при длине волны 360 нм. Результаты апробации метода представлены на электрофореграммах. Получена линейная зависимость между площадью пика и концентрацией формальдегида (R2 = 0,99). Разработанный метод определения содержания формальдегида малозатратен, отличается простой и высокой точностью и может быть рекомендован в качестве инструмента контроля безопасности корковых пробок в соответствии со стандартами Евразийского экономического союза., The entry of the Russian Federation into the Eurasian economic Union has led to stricter requirements for the safety indicators of alcoholic beverages, including packaging products. Alcoholic beverages are stored and even aged in the packaging, so the corking material – cork plugs can significantly affect the quality of the drink. In this regard, cork plugs are subject to safety requirements in the form of formaldehyde control. Existing methods for identifying it are quite time-consuming and very expensive, and also involve the use of expensive equipment. The proposed method for determining the content of formaldehyde released from cortical plugs into model media was developed on the basis of micellar electrokinetic capillary chromatography using the process of derivatization of a controlled compound with a solution of 2,4-dinitrophenylhydrazine (2,4-DNPH) in acetonitrile containing 5% acetic acid. System Kapel 105 equipped with a UV-detector with a variable wavelength, quartz capillaries with a diameter of 75 microns and a total length of 60 cm (50,5 cm to the detector) were used for the study. Working solutions of formaldehyde were prepared daily by appropriately diluting the samples of the initial solution with water. Calibration graphs were calculated for six concentrations – 2, 5, 10, 20, 40 and 100 mg/l standards in two repetitions. A certain amount of standard formaldehyde solution was added to the sample – model media obtained during the study of cork plugs samples and a derivatization procedure was performed. UV detection of 2,4-DNPH derivatives was performed at a wavelength of 360 nm. The results of testing the method are presented on electrophoregrams. A linear relationship was obtained between the peak area and the formaldehyde concentration (R2 = 0,99). The developed method for determining the formaldehyde content is low-cost, simple and highly accurate, and can be recommended as a tool for monitoring the safety of cork plugs in accordance with the standards of the Eurasian economic Union., Известия вузов. Пищевая технология, Выпуск 5-6 (377) 2020

Purpose Urban areas are usually found to have higher rates of self-harm, with deprivation the strongest predictor at area-level. We use a disease mapping approach to examine how self-harm is patterned within an urban area and its associations with deprivation, urbanness and ethnicity. Methods Data from clinical records on individuals admitted for self-harm for 725 small areas in South East London were included. Bayesian hierarchical models explored the spatio-temporal patterns of self-harm admission rates and potential associations with proximity to city centre, population density, percentage greenspace and non-white ethnic-minority populations. All models were adjusted for area-level deprivation, social fragmentation and hospital of admission. Results There were 8327 first admissions for self-harm during the study period. Self-harm admission rates varied fourfold across the study area, with lower rates close to the city centre [adjusted standardised admission ratio, closest versus furthest quartile 0.71(95% CrI 0.54–0.96)]. Deprivation was associated with self-harm but partially masked rather than explained the spatial pattern, which strengthened after adjustment. After adjustment for deprivation, hospital of admission and social fragmentation, greenspace, population density and ethnicity were not associated with self-harm rates. Conclusion Proximity to the city centre was associated with lower rates of self-harm, but the usual operationalisations of urbanness, population density and greenspace, were not. Deprivation did not explain the spatial patterning, nor did ethnicity. While nationally self-harm rates are higher in urban and deprived areas, this cannot be extrapolated to mean that within cities the inner-city is the highest risk area nor that risk will be principally patterned according to deprivation. Electronic supplementary material The online version of this article (10.1007/s00127-018-1601-3) contains supplementary material, which is available to authorized users.

Objective: Sleep complaints are clinically expected in children exposed to alcohol during pregnancy. We aim to reveal patterns of association among sleep–wake behaviors that are challenging in the life of children with fetal alcohol spectrum disorders (FASD). Methods: Through text-mining analyses, we numericized the transcripts of 59 caregiver’s informal, conversational interviews. That is, the relative frequencies-of-occurrences of words as well as their semantic specificities (italic) were clustered, categorized, and visualized for patterns. Results: A total of 4008 words were indexed where sleep took the 91st place of most important words. Sleep and wake were however not associatively conversed throughout the interviews. Sleep-related words conversed were: night, nap, apnea, asleep, awake, bed, bedroom, bedtime, mattress, melatonin, overnight, and wake-up. Among some FASD-characteristic words describing the challenges were: huge, alcohol, manage*, stop, adopt, crazy*. The semantic space reflecting these challenges experienced in caring for children with FASD was divided into two axes: child-oriented vs. other-oriented words, and day-related and night-related words. The position of sleep shows that problematic sleep was expressed as a ‘family’ issue. Clumsy* was interrelated with problematic sleeping and waking. Despite that mostly night was associatively conversed, the association of Routines, Managing, and Planning with sleep underscores the challenges faced. Conclusion: When conversing caregivers of children with FASD seldom interrelate ‘sleep’ but rather ‘night’ with FASD-characteristics. Increased sleep awareness combined with educational initiatives regarding sleep are advocated.

Summary Background Disparities in mortality rates according to socioeconomic position (SEP) have been rising in England. We describe the association between recent changes in socioeconomic inequality and trends in mortality disparities for different age and sex groups at small-area level in England. Methods Vital registration data from the Office for National Statistics on resident population size and number of deaths in each Lower Super Output Area (LSOA) in England from 2002 to 2018 were stratified by sex and 5-year age group. We grouped LSOA into ventiles of the Index of Multiple Deprivation (IMD), our indicator of SEP. We examined time trends in smoothed mortality rates, using 3 year moving averages for the period 2003-2017, by age across the IMD distribution. We measured mortality inequalities using the ratio of mortality rates between different deprivation groups. We calculated mortality rate ratios between the most and the least deprived 10% of areas (Total Inequality) and between the median and least deprived (Lower Inequality) 10% of areas by year, gender and age group, to examine where in the distribution of deprivation trends in mortality inequality arose. Findings Among

Purpose There is consistent evidence that socio-environmental factors measured at an area-level, such as ethnic density, urban environment and deprivation are associated with psychosis risk. However, whether area-level socio-environmental factors are associated with outcomes following psychosis onset is less clear. This study aimed to examine whether the number of inpatient days used by people presenting to mental health services for psychosis was associated with five key area-level socio-environmental factors: deprivation, ethnic density, social capital, population density and social fragmentation. Methods Using a historical cohort design based on electronic health records from the South London and Maudsley NHS Trust Foundation electronic Patient Journey System, people who presented for the first time to SLAM between 2007 and 2010 with psychosis were included. Structured data were extracted on age at presentation, gender, ethnicity, residential area at first presentation and number of inpatient days over 5 years of follow-up. Data on area-level socio-environmental factors taken from published sources were linked to participants’ residential addresses. The relationship between the number of inpatient days and each socio-environmental factor was investigated in univariate negative binomial regression models with time in contact with services treated as an offset variable. Results A total of 2147 people had full data on area level outcomes and baseline demographics, thus, could be included in the full analysis. No area-level socio-environmental factors were associated with inpatient days. Conclusion Although a robust association exists between socio-environmental factors and psychosis risk, in this study we found no evidence that neighbourhood deprivation was linked to future inpatient admissions following the onset of psychosis. Future work on the influence of area-level socio-environmental factors on outcome should examine more nuanced outcomes, e.g. recovery, symptom trajectory, and should account for key methodological challenges, e.g. accounting for changes in address. Electronic supplementary material The online version of this article (10.1007/s00127-018-1534-x) contains supplementary material, which is available to authorized users.