Health-related behaviour in context: a multilevel modelling approach

Different roles of interpersonal trust and institutional trust in motivating older adults to receive COVID-19 vaccines in Singapore

Since the approvals of several vaccines against COVID-19 by the World Health Organization, a large body of research has studied the determinants of individuals' intention to be vaccinated against COVID-19 in a variety of societies. Vaccine intention is a complex construct rooted in the social context that informs the decision-making process. The underlying reasons for older adults' intention to receive the vaccination is even more important to health authorities in societies with large proportions of older adults. In this paper, we interview 27 women over age 55 in Singapore about their COVID-19 vaccine decision-making. Using a social-ecological framework of trust, we identify factors at both individual and institutional levels that build or undermine trust and underlie older women's decisions to receive COVID-19 vaccinations in an authoritarian regime. Findings show that both interpersonal trust and institutional trust contribute to vaccine uptake, however, trust can also contribute to delays in vaccination. Moreover, a sizable minority of respondents report that they were vaccinated not because of institutional trust, but because they felt compelled to do so. The results shed light on directions for future vaccination campaigns.

Housing Instability and Socioeconomic Disparities in Health: Evidence from the U.S. Economic Recession

While a number of studies have observed the effects of housing instability on health outcomes, fewer have emphasized pre-existing socioeconomic disparities in health and the influence of housing instability on subsequent health outcomes in the wake of the economic recession. Using national data on six adult health indictors and foreclosure data aggregated by census tract, this study examines the association between neighborhood housing insecurity and health outcomes, particularly focusing on various income levels and racial groups in about 200 U.S. metropolitan areas after the 2008 housing crisis. Results suggest that high levels of housing instability induced by high levels of foreclosed properties in certain neighborhoods were strongly associated with more health problems among residents, but the results varied according to the income level and the dominant racial group in these neighborhoods. With regard to income levels, adverse health conditions in lower income neighborhoods remained longer and became stronger than those in higher income neighborhoods. The findings also show variation among racial groups: While multiple health problems plagued all income levels in white tracts, more severe and worsening pre-existing health problems appeared in lower income minority tracts. In addition, neighborhood housing instability generated by mortgage foreclosures was strongly associated with heart-related diseases, particularly in middle-income White neighborhoods, and mental health problems, particularly in upper-income Hispanic tracts. Finally, among multiple health indicators, mental health problems were the most common health conditions during the U.S. economic recession. In light of the socioeconomic disparities in health, policy makers should establish effective policy tools that integrate health and urban and housing planning.

School and community drivers of child diets in two Arab cities: The SCALE protocol and innovative tools to assess children’s food environments

Background

In the context of the rapid nutrition transition experienced by middle-income countries of the Arab region, children and adolescent’s food choices and dietary behaviors are early risk factors for the development of non-communicable diseases. Assessment of factors influencing food choices among this age group is challenging and is usually based on self-reported data, which are prone to information and recall bias. As the popularity of technologies and video gaming platforms increases, opportunities arise to use these tools to collect data on variables that affect food choice, dietary intake, and associated outcomes. This protocol paper describes the SCALE study (School and community drivers of child diets in Arab cities; identifying levers for intervention) which aims to explore the environments at the level of households, schools and communities in which children’s food choices are made and consequently identify barriers and enablers to healthy food choices within these environments.

Methods

Field studies are being conducted in primary schools, among children aged 9–12 years, in Greater Beirut, Lebanon and Greater Tunis, Tunisia. A stratified random sample of 50 primary schools (public and private) are selected and 50 children are randomly selected from grades 4-5-6 in each school. The study includes surveys with children, parents/caregivers, school directors, teachers, and nutrition/health educators to assess individual diets and the contextual factors that influence children’s food choices. Innovative locally adapted tools and methods such as game-based choice experiments, wearable cameras and neighborhood mapping are used to describe the environments in which children’s food choices are made.

Discussion

The SCALE study will generate contextual knowledge on factors in school and neighborhood environments that influence child dietary behaviors and will inform multi-level interventions and policies to address childhood malnutrition (under-and over-nutrition). By integrating methods from various disciplines, including economics, data science, nutrition, and public health and by considering factors at various levels (home, school, and neighborhood), the study will identify levers for intervention with the potential to improve children’s dietary behaviors. This will help fill existing gaps in research on food systems and consequently guide positive change in Lebanon and Tunisia, with the potential for replicability in other contexts.

The diurnal pattern and social context of screen behaviours in adolescents: a cross-sectional analysis of the Millennium Cohort Study

Background

Screen behaviours are highly prevalent in young people and excessive screen use may pose a risk to physical and mental health. Understanding the timing and social settings in which young people accumulate screen time may help to inform the design of interventions to limit screen use. This study aimed to describe diurnal patterns in adolescents’ screen-based behaviours and examine the association of social context with these behaviours on weekdays and weekend days.

Methods

Time use diary data are from the sixth wave (2015/2016) of the Millennium Cohort Study, conducted when participants were aged 14 years. Outcome variables were electronic games/Apps, TV-viewing, phone calls and emails/texts, visiting social networking sites and internet browsing. Social context was categorised as alone only, parents only, friends only, siblings only, parents and siblings only. Multilevel multivariable logistic regression was used to examine the association between social contexts and screen activities.

Results

Time spent in TV-viewing was greatest in the evening with a peak of 20 min in every hour between 20:00 and 22:00 in both sexes on weekdays/weekend days. Time spent using electronic games/Apps for boys and social network sites for girls was greatest in the afternoon/evening on weekdays and early afternoon/late evening on weekend days. Screen activities were mainly undertaken alone, except for TV-viewing. Compared to being alone, being with family members was associated with (Odds Ratio (95% Confidence Interval)) more time in TV-viewing in both boys and girls throughout the week (Weekdays: Boys, 2.84 (2.59, 3.11); Girls, 2.25 (2.09, 2.43); Weekend days: Boys, 4.40 (4.16, 4.67); Girls, 5.02 (4.77, 5.27)). Being with friends was associated with more time using electronic games on weekend days in both sexes (Boys, 3.31 (3.12, 3.51); Girls, 3.13 (2.67, 3.67)).

Conclusions

Reductions in screen behaviours may be targeted throughout the day but should be sensitive to differing context. Family members, friends, and adolescent themselves may be important target groups in behaviour change interventions. Future research to address the complex interplay between social context, content and quality of screen behaviours will aid the design of behaviour change interventions.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13552-8.

Moderating Effect of a Cross-Level Social Distancing Policy on the Disparity of COVID-19 Transmission in the United States

Currently, coronavirus disease 2019 (COVID-19) remains a global pandemic, but the prevention and control of the disease in various countries have also entered the normalization stage. To achieve economic recovery and avoid a waste of resources, different regions have developed prevention and control strategies according to their social, economic, and medical conditions and culture. COVID-19 disparities under the interaction of various factors, including interventions, need to be analyzed in advance for effective and precise prevention and control. Considering the United States as the study case, we investigated statistical and spatial disparities based on the impact of the county-level social vulnerability index (SVI) on the COVID-19 infection rate. The county-level COVID-19 infection rate showed very significant heterogeneity between states, where 67% of county-level disparities in COVID-19 infection rates come from differences between states. A hierarchical linear model (HLM) was adopted to examine the moderating effects of state-level social distancing policies on the influence of the county-level SVI on COVID-19 infection rates, considering the variation in data at a unified level and the interaction of various data at different levels. Although previous studies have shown that various social distancing policies inhibit COVID-19 transmission to varying degrees, this study explored the reasons for the disparities in COVID-19 transmission under various policies. For example, we revealed that the state-level restrictions on the internal movement policy significantly attenuate the positive effect of county-level economic vulnerability indicators on COVID-19 infection rates, indirectly inhibiting COVID-19 transmission. We also found that not all regions are suitable for the strictest social distancing policies. We considered the moderating effect of multilevel covariates on the results, allowing us to identify the causes of significant group differences across regions and to tailor measures of varying intensity more easily. This study is also necessary to accomplish targeted preventative measures and to allocate resources.

Concentrated Poverty in U.S. Schools and Adolescents' Risk of Being Overweight

The economic segregation of U.S. schools undermines the academic performance of students, particularly students from low-income families who are often concentrated in high-poverty schools. Yet it also fuels the reproduction of inequality by harming their physical health. Integrating research on school effects with social psychological and ecological theories on how local contexts shape life course outcomes, we examined a conceptual model linking school poverty and adolescent students' weight. Applying multilevel modeling techniques to the first wave of data (1994-1995) from the National Longitudinal Study of Adolescent to Adult Health (Add Health; n = 18,924), the results revealed that individual students' likelihood of being overweight increased as the concentration of students from low-income families in their schools increased, net of their own background characteristics. This linkage was connected to a key contextual factor: the exposure of students in high-poverty schools to other overweight students. This exposure may partly matter because of the lower prevalence of dieting norms in such schools, although future research should continue to examine potential mechanisms.

The Moderating Effect of Community-Level Deprivation on the Association between Individual Characteristics and Smoking Behavior among Chinese Adults: A Cross-Level Study

China joined the World Health Organization (WHO) Framework Convention on Tobacco Control in 2006; however, the overall Chinese smoking rate is still high. The aim of this study is to provide new evidence for the direct effects of community-level deprivation, and the effects of interactions between community-level deprivation and individual characteristics, on smoking intensity, by using cross-sectional data from the 2015 China Health and Nutrition Survey (CHNS). The results show that there is a strong association between community-level deprivation and individual smoking intensity, and that community deprivation moderates the relationship between individual perceived stress and smoking intensity. The findings imply that adequate interventions should be conducted in the context of deprived neighborhoods, and should consider differences between levels of individual perceived stress and between sexes, especially focusing on highly stressed women who live in deprived communities.

Fruit and vegetable consumption, leisure-time physical activity and binge drinking in Belo Horizonte, Brazil, according to the Health Vulnerability Index

OBJECTIVE

To estimate the prevalence of fruit and vegetable consumption, practice of leisure time physical activity (LTPA) and binge drinking for small areas of Belo Horizonte, Minas Gerais.

METHODS

Ecological study conducted with data from the Surveillance System for Risk and Protection Factors for Noncommunicable Diseases by Telephone Survey (Sistema de Vigilância de Fatores de Risco e Proteção para Doenças Crônicas por Inquérito Telefônico - Vigitel). The prevalence of risk and protection factors from 2006 to 2013 were estimated and the 95% confidence intervals calculated. "Small areas" corresponded to the municipality division into four strata of health risk classification given by the Health Vulnerability Index 2012 (Índice de Vulnerabilidade à Saúde - IVS).

RESULTS

The mean prevalences for the period were: about 42% of regular intake of fruit and vegetable, 34.7% of leisure time activity and 20.4% of binge drinking. The prevalence of fruit and vegetable consumption was higher in low-risk areas (58.5%; 95%CI 56.8 - 60.2) and lower in very high-risk areas (32.3%; 95%CI 27.7 - 36.9). The practice of LTPA was higher in low-risk areas (40.8%; 95%CI 38.9 - 42.8) and lower in very high risk (25.2%; 95%CI 20.6 - 29.9). Binge drinking was higher in low-risk areas (22.9%; 95%CI 21.7 - 24.2) compared to very high-risk areas (14.3%; 95%CI 11.4 - 17.3).

CONCLUSION

It was identified a gradient in the distribution of risk and protection factors for noncommunicable diseases in Belo Horizonte according to the risk classification. This information can support programs aimed at reducing health inequalities, especially in the most vulnerable areas.

Establishment of a multilevel linear model to analyse the factors affecting piglet litter performance at birth

This study aimed to establish a feasible model for analysing factors affecting piglet litter performance at birth. Data of 61,984 litters were collected from 16 herds, and general linear model (GLM), multilevel Poisson regression model (MPM) and multilevel linear model (MLM) were established to compare their goodness of fit for these data. Influencing factors of piglet litter performance at birth were analysed using the established optimal model. Results showed the intraclass correlation coefficients of total born piglets (TBP), piglets born alive (PBA), low-birth-weight piglets (LBW), and average birth weight of piglets (ABW) reached 27.89%, 23.88%, 24.66% and 22.27%, respectively (p < .05). Akaike's information criterion and Bayesian information criterion in MLM of TBP, PBA, LBW and ABW were lower than those in GLM. Pearson residuals in MPM increased to nearly 1 after introduction of a discrete scale factor, and the p values in MPM were similar to those in MLM. Analyses of MLM indicated crossbred sows with good management supplemented with oregano essential oil and farrowing at warm season had higher TBA, PBA and ABW, but lower LBW than other sows (p < .05). In conclusion, MLM is superior to GLM and can replace MPM in analysing discrete data with hierarchical structure in pig production. More importantly, other potential influencing factors of litter performance at birth can be analysed using the established MLM in the future.

HIV stigma beliefs in context: Country and regional variation in the effects of instrumental stigma beliefs on protective sexual behaviors in Latin America, the Caribbean, and Southern Africa

Does the relationship between the expression of HIV stigma beliefs and the practice of protective sexual behaviors vary by social context? To answer this question, we apply multilevel techniques to Demographic and Health Survey data from seven low HIV prevalence Latin American and Caribbean countries and seven high HIV prevalence Southern African countries to examine contextual variation in this relationship. We examine whether the relationship between stigma beliefs and sexual behaviors differs across these two sets of countries and across regions within each set of countries. We first find that in high prevalence Southern African countries, one unit increases in HIV stigma beliefs are associated with 8% declines in the odds of practicing protective sexual behaviors. Conversely, in low prevalence Latin American and Caribbean countries, unit increases in HIV stigma beliefs are associated with 8% increases in the odds of those same sexual behaviors. Second, the relationship between stigma beliefs and protective sexual behaviors varies across regions within each set of countries, with a wider variance in regional stigma effects located in Southern Africa than in Latin America and the Caribbean. Third, in Southern Africa, the negative effect of stigma beliefs is even more negative in regions where conservative stigma beliefs are pronounced. Overall, our findings demonstrate the importance of taking country and regional context into account when examining the degree to which HIV beliefs affect personal sexual behaviors, which in turn, can contribute to the spread of HIV. Importantly, the implications of our results offer potential guidance to experts who wish to design policies and programs aimed at reducing the expression of negative HIV beliefs towards those infected with HIV.

Ecological factors associated with Emergency Department use by older people in Italy

BACKGROUND

Many studies investigated factors associated with overuse of Emergency Department (ED) by older people. However, there is little evidence of how a better access to long-term care services can affect ED visit rates. Therefore, we estimated the association between ED use and contextual (distance to closest ED), need (priority level at admission and care deprivation), predisposing (socio-economic conditions) and enabling factors (availability of health services) at the municipal level.

METHODS

We investigated ED visit rates by comparing the older population (aged 75 and more) to those aged less than 75 years among 233 municipalities and 13 health districts in the Marche Region, Central Italy. Administrative data were enriched by spatial dimensions. The outcomes were analysed using t-tests and ANOVA, while OLS and multilevel regressions have been used to identify independent correlates of ED visit rates.

RESULTS

Mean ED visit rate was 56.3% and 25.3% among older people and the rest of the population (< 75 years), respectively. The multivariate analysis for older people showed that the presence of an ED within the municipality and living alone were positively associated with ED use, whereas greater availability of nursing homes was negatively associated. For general population (< 75 years), distance to closest ED, economic deprivation and bigger hospitals were negatively associated with ED visits.

CONCLUSIONS

Our study shows that interventions to reduce frequent ED use by older people should include the availability of long-term care facilities in the area. As population ageing is progressing, our results suggest that investing in alternative care options for older people with long-term care needs might have the beneficial impact of reducing the overall ED rates and improving quality and appropriateness of care.

Extending multilevel spatial models to include spatially varying coefficients

Multilevel models have long been used by health geographers working on questions of space, place, and health. Similarly, health geographers have pursued interests in determining whether or not the effect of an exposure on a health outcome varies spatially. However, relatively little work has sought to use multilevel models to explore spatial variability in the effects of a contextual exposure on a health outcome. Methodologically, extending multilevel models to allow intercepts and slopes to vary spatially is straightforward. The purpose of this paper, therefore, is to show how multilevel spatial models can be extended to include spatially varying covariate effects. We provide an empirical example on the effect of agriculture on malaria risk in children under 5 years of age in the Democratic Republic of Congo.

Variation in Chronic Diseases Across Households, Communities, Districts, and States in India

INTRODUCTION

Globally, chronic noncommunicable diseases are the leading cause of death and accounted for 6 million deaths in India in 2016. However, the extent to which variation in chronic disease can be attributed to different population levels in India is unknown, as is whether variation in individual-level factors explains outcome variation at different population levels.

METHODS

Cross-sectional data from the District Level Household and Facility Survey 2012-2013 conducted across 21 states, 275 districts, 14,235 villages, 378,487 households, and 1,098,940 individuals aged ≥18 years in India were analyzed in 2018‒2019. Multilevel logistic models were used to partition variation in outcomes and attribute it to individual, household, village, district and state population levels. Outcomes included experiencing respiratory, cardiovascular, musculoskeletal, or eye symptoms; reporting a positive diagnosis by a doctor for chronic heart disease, hypertension, diabetes, or vision problems; and objectively assessed real-time measures of hypertension and diabetes.

RESULTS

For reported diagnosis of hypertension or diabetes, a much larger percentage of variation in these outcomes was attributed to differences among households as compared to differences among units within other population levels. However, for objectively measured hypertension and diabetes, variation in these outcomes was important at the village level, followed by variation at the household level. Wealth status was positively associated with respiratory and cardiovascular symptoms, as well as all reported diagnoses and real-time measurements except for vision problems. Inclusion of individual-level sociodemographic variables explained 0%-30% of variation attributed to the household level for most chronic disease symptoms and diagnoses, but almost none at the higher levels.

CONCLUSIONS

These findings imply that household- and village-level factors explain substantial variation in the prevalence of chronic disease symptoms and reported diagnoses in India.

Multilevel linear modelling of the response-contingent learning of young children with significant developmental delays

AIM

The purpose of the study was to isolate the sources of variations in the rates of response-contingent learning among young children with multiple disabilities and significant developmental delays randomly assigned to contrasting types of early childhood intervention.

METHOD

Multilevel, hierarchical linear growth curve modelling was used to analyze four different measures of child response-contingent learning where repeated child learning measures were nested within individual children (Level-1), children were nested within practitioners (Level-2), and practitioners were nested within the contrasting types of intervention (Level-3).

RESULTS

Findings showed that sources of variations in rates of child response-contingent learning were associated almost entirely with type of intervention after the variance associated with differences in practitioners nested within groups were accounted for. Rates of child learning were greater among children whose existing behaviour were used as the building blocks for promoting child competence (asset-based practices) compared to children for whom the focus of intervention was promoting child acquisition of missing skills (needs-based practices).

IMPLICATIONS

The methods of analysis illustrate a practical approach to clustered data analysis and the presentation of results in ways that highlight sources of variations in the rates of response-contingent learning among young children with multiple developmental disabilities and significant developmental delays.

Safety in stigmatizing? Instrumental stigma beliefs and protective sexual behavior in Sub-Saharan Africa

How are people's expression of HIV stigma beliefs connected to their own personal decisions concerning safe sexual practices? Does this relationship vary across countries and by the national context in which people reside? To answer these questions, we develop and test individual, contextual, and cross-level interactional hypotheses of the impact of instrumental HIV stigma attitudes on several measures of protective sexual behavior. Using Demographic and Health Survey data from 467,656 unpartnered individuals across 34 sub-Saharan African countries, we first find that counterintuitively, conservative HIV stigma attitudes are associated with lower likelihoods of participating in all types of protective sexual behaviors. Second, this negative relationship is most pronounced in the Southern and Eastern regions of Africa, where HIV prevalence is highest. Together, these findings suggest that stigma beliefs can shape private behaviors in counterintuitive yet important ways that have profound implications for current epidemiological and public health approaches to slowing the spread of HIV.

Associations of cause-specific mortality with area level deprivation and travel time to health care in France from 1990 to 2007, a multilevel analysis

Background

It is now widely accepted that social and physical environment participate in shaping health. While mortality is used to guide public health policies and is considered as a synthetic measure of population health, few studies deals with the contextual features potentially associated with mortality in a representative sample of an entire country. This paper investigates the possible role of area deprivation (FDep99) and travel time to health care on French cause-specific mortality in a proper multilevel setting.

Methods

The study population was a 1% sample representative of the French population aged from 30 to 79 years in 1990 and followed up until 2007. A frailty Cox model was used to measure individual, contextual effects and spatial variances for several causes of death. The chosen contextual scale was the Zone d’Emploi of 1994 (348 units) which delimits the daily commute of people. The geographical accessibility to health care score was constructed with principal component analysis, using 40 variables of hospital specialties and health practitioners’ travel time.

Results

The outcomes highlight a positive and significant association between area deprivation and mortality for all causes (HR = 1.24), cancers, cerebrovascular diseases, ischemic heart diseases, and preventable and amenable diseases (HR from 1.14 to 1.29). These contextual associations exhibit no substantial differences by sex except for premature ischemic heart diseases mortality which was much greater in women. Unexpectedly, mortality decreased as the time to reach health care resources increased. Only geographical disparities in cerebrovascular and ischemic heart diseases mortality were explained by compositional and contextual effects.

Discussion

The findings suggest the presence of confounding factors in the association between mortality and travel time to health care, possibly owing to population density and health-selected migration. Although the spatial scale considered to define the context of residence was relatively large, the associations with area deprivation were strong in comparison to the existing literature and significant for almost all the causes of deaths investigated.

Conclusion

The broad spectrum of diseases associated with area deprivation and individual education support the idea of a need for a global health policy targeting both individual and territories to reduce social and socio-spatial inequalities.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-017-4562-7) contains supplementary material, which is available to authorized users.

The demography of words: The global decline in non-numeric fertility preferences, 1993-2011

This paper examines the decline in non-numeric responses to questions about fertility preferences among women in the developing world. These types of response-such as 'don't know' or 'it's up to God'-have often been interpreted through the lens of fertility transition theory as an indication that reproduction has not yet entered women's 'calculus of conscious choice'. However, this has yet to be investigated cross-nationally and over time. Using 19 years of data from 32 countries, we find that non-numeric fertility preferences decline most substantially in the early stages of a country's fertility transition. Using country-specific and multilevel models, we explore the individual- and contextual-level characteristics associated with women's likelihood of providing a non-numeric response to questions about their fertility preferences. Non-numeric fertility preferences are influenced by a host of social factors, with educational attainment and knowledge of contraception being the most robust and consistent predictors.

Cryptosporidiosis Risk in New Zealand Children Under 5 Years Old is Greatest in Areas with High Dairy Cattle Densities

The public health risks associated with dairy farming intensification are an emerging concern. We examine the association between dairy cattle density and cryptosporidiosis risk in children <5 years old in New Zealand from 1997 to 2008, a period of rapid intensification of the dairy industry. Multi-level Poisson regression was used to model reported cryptosporidiosis (N = 3869 cases) incidence in relation to dairy cattle densities across urban and rural areas separately, after controlling for microbiological quality of public drinking water supplies and neighbourhood socio-economic factors using the Census Area Unit of residence. Within urban areas, the risk of cryptosporidiosis in children less than 5 years old was significantly, positively associated with medium and high dairy cattle density IRR 1.3 (95% CI 1.2, 1.5) and 1.5 (95% CI 1.2, 1.9) respectively, when compared to areas with no dairy cattle. Within rural areas, the incidence risk of cryptosporidiosis in children less than 5 years old were significantly, positively associated with medium and high dairy cattle density: IRR 1.7 (95% CI 1.3, 2.3) and 2.0 (95% CI 1.5, 2.8) respectively, when compared to areas with no dairy cattle. These results have public health implications for children living on and in proximity to intensively stocked dairy cattle farms.

Derivation of irrigation requirements for radiological impact assessments

When assessing the radiological impacts of radioactive waste disposal, irrigation using groundwater contaminated with releases from the disposal system is a principal means of crop and soil contamination. In spite of their importance for radiological impact assessments, irrigation data are scarce and often associated with considerable uncertainty for several reasons including limited obligation to measure groundwater abstraction and differences in measuring methodologies. Further uncertainty arises from environmental (e.g. climate and landscape) change likely to occur during the assessment long time frame. In this paper, we derive irrigation data using the crop growth AquaCrop model relevant to a range of climates, soils and crops for use in radiological impact assessments. The AquaCrop estimates were compared with actual irrigation data reported in the literature and with estimates obtained from simple empirical methods proposed for use in radiological impact assessments. Further, the AquaCrop irrigation data were analysed using mixed effects modelling to investigate the effects of climate, soil and crop type on the irrigation requirement. Irrigation estimates from all models were within a reasonable range of the measured values. The AquaCrop estimates, however, were at the higher end of the range and higher than those from the empirical methods. Nevertheless, they may be more appropriate for conservative radiological assessments. The use of mixed effects modelling allowed for the characterisation of crop-specific variability in the irrigation data, and in contrast to the empirical methods, the AquaCrop and the mixed effects models accounted for the soil effect on the irrigation requirement. The approach presented in this paper is relevant for obtaining irrigation data for a specific site under different climatic conditions as well as for generic dose assessments. To the best of our knowledge, this is one of the most comprehensive analyses of irrigation data in the context of radiological impact assessment currently available.

Attitudes Regarding Palliative Sedation and Death Hastening Among Swiss Physicians: A Contextually Sensitive Approach

In Switzerland, where assisted suicide but not euthanasia is permitted, the authors sought to understand how physicians integrate palliative sedation in their practice and how they reflect on existential suffering and death hastening. They interviewed 31 physicians from different care settings. Five major attitudes emerged. Among specialized palliative care physicians, convinced, cautious and doubtful attitudes were evident. Within unspecialized settings, palliative sedation was more likely to be considered as death hastening: clinicians either avoid it with an inexperienced attitude or practice it with an ambiguous attitude, raising the issue of unskilled and abusive uses of sedatives at the end of life.

Suicide in the City: Do Characteristics of Place Really Influence Risk?

OBJECTIVE

This article investigates the role of social context on individual suicide mortality with attention paid to the possibility that contextual effects are simply the sum of individual characteristics associated with suicide.

METHODS

We use restricted data from the 1986-2006 National Health Interview Survey-Linked Mortality Files, which include nearly one million records and 1,300 suicides, to examine the role of familial and socioeconomic context on adult suicide.

RESULTS

Results show that adults living in cities with more socioeconomic disadvantage and fewer families living together have higher odds of suicidal death than adults living in less disadvantaged cities and cities with more families living together, respectively, after controlling for individual-level socioeconomic status, marital status, and family size.

CONCLUSION

The findings support classic sociological arguments that the risk of suicide is indeed influenced by the social milieu and cannot simply be explained by the aggregation of individual characteristics.

Unmet needs for cardiovascular care in Indonesia

BACKGROUND

In the past twenty years the heaviest burden of cardiovascular diseases has begun to shift from developed to developing countries. However, little is known about the real needs for cardiovascular care in these countries and how well those needs are being met. This study aims to investigate the prevalence and determinants of unmet needs for cardiovascular care based on objective assessment.

METHODS AND FINDINGS

Multilevel analysis is used to analyse the determinants of met needs and multilevel multiple imputation is applied to manage missing data. The 2008 Indonesian Family Life Survey (IFLS4) survey is the source of the household data used in this study, while district data is sourced from the Ministry of Health and Ministry of Finance. The data shows that nearly 70% of respondents with moderate to high cardiovascular risk failed to receive cardiovascular care. Higher income, possession of health insurance and residence in urban areas are significantly associated with met needs for cardiovascular care, while health facility density and physician density show no association with them.

CONCLUSIONS

The prevalence of unmet needs for cardiovascular care is considerable in Indonesia. Inequality persists as a factor in meeting needs for cardiovascular care as the needs of people with higher incomes and those living in urban areas are more likely to be met. Alleviation of poverty, provision of health care insurance for the poor, and improvement in the quality of healthcare providers are recommended in order to meet this ever-increasing need.

Tobacco use, smoking quit rates, and socioeconomic patterning among men and women: a cross-sectional survey in rural Andhra Pradesh, India

BACKGROUND

Tobacco use is common in India and a majority of users are in rural areas. We examine tobacco use and smoking quit rates along gender and socioeconomic dimensions in rural Andhra Pradesh.

DESIGN AND METHODS

Data come from a cross-sectional survey. Markers of socioeconomic status (SES) were education, occupation, and income. Regression analyses were undertaken to examine determinants of current smoking, smoking quit rates, tobacco use by type (cigarettes, bidis, and chewing), and quantity consumed (number per day, pack-years).

RESULTS

The weighted prevalence of current smoking and tobacco chewing was higher in men (50.3%, 95% confidence interval, CI, 48.1-52.6 and 5.0%, 95% CI 4.1-5.9, respectively) compared with women (4.8%, 95% CI 3.9-5.7 and 1.0%, 95% CI 0.6-1.4, respectively) and higher among older age groups. The quit rate was higher in women (45.5%, 95% CI 38.7-52.2) compared to men (18.8%, 95% CI 16.7-20.9). Illiterate individuals were more likely to be current smokers of any type compared to those with secondary/higher education (odds ratio, OR, 3.25, 95% CI 2.54-4.16), although cigarette smoking was higher in men of high SES. Smoking quit rates were positively associated with SES (OR 2.56, 95% CI 1.76-3.71) for secondary/higher education vs. illiterates. Level of consumption increased with SES and those with secondary/higher education smoked an additional 1.93 (95% CI 1.08-2.77) cigarettes or bidis per day and had an additional 1.87 (95% CI 0.57-3.17) pack-years vs. illiterates.

CONCLUSIONS

The social gradients in cigarette smoking and level of consumption contrasted those for indigenous forms of tobacco (bidi smoking and chewing). International prevention and cessation initiatives designed at modifying Western-style cigarette usage will need to be tailored to the social context of rural Andhra Pradesh to effectively influence the use of cigarettes and equally harmful indigenous forms of tobacco.

Do local unemployment rates modify the effect of individual labour market status on psychological distress?

This study investigates whether the unemployment rate of the area in which an individual lives affects their level of psychological distress, and the extent to which this is dependent on their own labour market status. Data were taken from the British Household Panel Survey (1991-2008) and longitudinal multiple membership multilevel modelling was carried out in order to account for the complex hierarchical structure of the data. The results suggest that living in an area with a high unemployment rate, defined by the claimant count, confers a degree of protection against the negative psychological effects of unemployment. However, psychological distress levels among unemployed people were still significantly and substantially higher than among their securely employed counterparts.

Co-variation in dimensions of smoking behaviour: a multivariate analysis of individuals and communities in Canada

We evaluated the effects of socioeconomic status on the prevalence of current smoking, number of cigarettes smoked per day and pack-years, and the extent to which prevalence and consumption co-vary across communities, health regions, and provinces in Canada between 2001 and 2010. Current smoking, cigarettes per day, and pack-years were considered as outcomes within individuals using a multilevel analytical framework. Markers of SES were education, income, and occupation. Residual covariance estimated at the different levels of geography was used to determine if areas high in current smoking were also high on levels of consumption. A strong inverse gradient was found between education and current smoking and level of consumption with large variation found in levels of consumption between individual smokers. The co-variation between current smoking and level of consumption was positive and statistically significant at the level of communities and health regions. Our findings suggest that novel policy efforts may be needed to encourage smoking prevention/cessation among certain population groups and in places with high levels of smoking prevalence and tobacco use intensity.

Patient-centred access to health care: conceptualising access at the interface of health systems and populations

Background

Access is central to the performance of health care systems around the world. However, access to health care remains a complex notion as exemplified in the variety of interpretations of the concept across authors. The aim of this paper is to suggest a conceptualisation of access to health care describing broad dimensions and determinants that integrate demand and supply-side-factors and enabling the operationalisation of access to health care all along the process of obtaining care and benefiting from the services.

Methods

A synthesis of the published literature on the conceptualisation of access has been performed. The most cited frameworks served as a basis to develop a revised conceptual framework.

Results

Here, we view access as the opportunity to identify healthcare needs, to seek healthcare services, to reach, to obtain or use health care services, and to actually have a need for services fulfilled. We conceptualise five dimensions of accessibility: 1) Approachability; 2) Acceptability; 3) Availability and accommodation; 4) Affordability; 5) Appropriateness. In this framework, five corresponding abilities of populations interact with the dimensions of accessibility to generate access. Five corollary dimensions of abilities include: 1) Ability to perceive; 2) Ability to seek; 3) Ability to reach; 4) Ability to pay; and 5) Ability to engage.

Conclusions

This paper explains the comprehensiveness and dynamic nature of this conceptualisation of access to care and identifies relevant determinants that can have an impact on access from a multilevel perspective where factors related to health systems, institutions, organisations and providers are considered with factors at the individual, household, community, and population levels.

Socioeconomic and geographic patterning of smoking behaviour in Canada: a cross-sectional multilevel analysis

OBJECTIVE

To describe the socioeconomic and geographic distribution of smoking behaviour in Canada among 19,383 individuals (51% women) aged 15-85 years.

METHODS

Current smoking and quitting were modeled using standard and multilevel logistic regression. Markers of socioeconomic status (SES) were education and occupation. Geography was defined by Canadian Provinces.

RESULTS

The adjusted prevalence of current smoking was 20.2% (95% confidence interval [CI]: 18.8-21.7) and 63.7% (95% CI: 61.1-66.3) of ever smokers had quit. Current smoking decreased and quitting increased with increasing SES. The adjusted prevalence of current smoking was 32.8% (95% CI: 28.4-37.5) among the least educated compared to 11.0% (95% CI: 8.9-13.4) for the highest educated. Among the least educated, 53.0% (95% CI: 46.8-59.2) had quit, rising to 68.7% (95% CI: 62.7-74.1) for the most educated. There was substantial variation in current smoking and quitting at the provincial level; current smoking varied from 17.9% in British Columbia to 26.1% in Nova Scotia, and quitting varied from 57.4% in Nova Scotia to 67.8% in Prince Edward Island. Nationally, increasing education and occupation level were inversely associated with current smoking (odds ratio [OR] 0.64, 95% CI: 0.60-0.68 for education; OR 0.82, 95% CI: 0.77-0.87 for occupation) and positively associated with quitting (OR 1.27, 95% CI: 1.16-1.40 for education; OR 1.20, 95% CI: 1.12-1.27 for occupation). These associations were consistent in direction across provinces although with some variability in magnitude.

CONCLUSION

Our findings indicate that socioeconomic inequalities in smoking have persisted in Canada; current smoking was less likely and quitting was more likely among the better off groups and in certain provinces. Current prevention and cessation policies have not been successful in improving the situation for all areas and groups. Future efforts to reduce smoking uptake and increase cessation in Canada will need consideration of socioeconomic and geographic factors to be successful.

Socioeconomic differences in mortality amenable to health care among Finnish adults 1992-2003: 12 year follow up using individual level linked population register data

BACKGROUND

Finland decentralised its universal healthcare system and introduced market reforms in the 1990s. Despite a commitment to equity, previous studies have identified persistent socio-economic inequities in healthcare, with patterns of service use that are more pro-rich than in most other European countries. To examine whether similar socio-economic patterning existed for mortality amenable to intervention in primary or specialist care, we investigated trends in amenable mortality by income group from 1992-2003.

METHODS

We analysed trends in all cause, total disease and mortality amenable to health care using individual level data from the National Causes of Death Register for those aged 25 to 74 years in 1992-2003. These data were linked to sociodemographic data for 1990-2002 from population registers using unique personal identifiers. We examined trends in causes of death amenable to intervention in primary or specialist healthcare by income quintiles.

RESULTS

Between 1992 and 2003, amenable mortality fell from 93 to 64 per 100,000 in men and 74 to 54 per 100,000 in women, an average annual decrease in amenable mortality of 3.6% and 3.1% respectively. Over this period, all cause mortality declined less, by 2.8% in men and 2.5% in women. By 2002-2003, amenable mortality among men in the highest income group had halved, but the socioeconomic gradient had increased as amenable mortality reduced at a significantly slower rate for men and women in the lowest income quintile. Compared to men and women in the highest income quintile, the risk ratio for mortality amenable to primary care had increased to 14.0 and 20.5 respectively, and to 8.8 and 9.36 for mortality amenable to specialist care.

CONCLUSIONS

Our findings demonstrate an increasing socioeconomic gradient in mortality amenable to intervention in primary and specialist care. This is consistent with the existing evidence of inequity in healthcare use in Finland and provides supporting evidence of changes in the socioeconomic gradient in health service use and in important outcomes. The potential adverse effect of healthcare reform on timely access to effective care for people on low incomes provides a plausible explanation that deserves further attention.

Neighborhood context and racial/ethnic differences in young children's obesity: structural barriers to interventions

Numerous studies in the last ten years have investigated racial/ethnic disparities in obesity for young children. Increasing attention is paid to the influence of neighborhood environments - social and physical-on a variety of young children's health outcomes. This work identifies resource-based and community-based mechanisms that impede on the maintenance of healthy weights for young children in socioeconomically depressed areas, and shows consistently higher rates of obesity in more deprived areas. None of this work, however, has explored whether area deprivation or the race/nativity composition of neighborhoods contributes to racial/ethnic disparities in young children's obesity. Utilizing restricted geo-coded data from the Early Childhood Longitudinal Study (Kindergarten) (N = 17,540), we utilize multilevel logistic regression models to show that neighborhood level measures do little to explain racial and ethnic differences in childhood obesity. However, living in neighborhoods with higher levels of poverty, lower levels of education, and a higher proportion of black residents is associated with increased child obesity risk after considering a host of relevant individual level factors. In addition, living in neighborhoods with a higher proportion of foreign-born residents is associated with reduced child obesity risk. Although well-intentioned childhood obesity intervention programs aimed at changing individual-level behaviors are important, our results highlight the importance of considering neighborhood structural factors for child obesity prevention.

Bringing the individual back to small-area variation studies: a multilevel analysis of all-cause mortality in Andalusia, Spain

We performed a multilevel analysis (including individuals, households, census tracts, municipalities and provinces) on a 10% sample (N=230,978) from the Longitudinal Database of the Andalusian Population (LDAP). We aimed to investigate place effects on 8-year individual mortality risk. Moreover, besides calculating association (yielding odds ratios, ORs) between area socio-economic circumstances and individual risk, we wanted to estimate variance and clustering using the variance partition coefficient (VPC). We explicitly proclaim the relevance of considering general contextual effects (i.e. the degree to which the context, as a whole, affects individual variance in mortality risk) under at least two circumstances. The first of these concerns the interpretation of specific contextual effects (i.e. the association between a particular area characteristic and individual risk) obtained from multilevel regression analyses. The second involves the interpretation of geographical variance obtained from classic ecological spatial analyses. The so-called "ecological fallacy" apart, the lack of individual-level information renders geographical variance unrelated to the total individual variation and, therefore, difficult to interpret. Finally, we stress the importance of considering the familial household in multilevel analyses. We observed an association between percentage of people with a low educational level in the census tract and individual mortality risk (OR, highest v. lowest quintile=1.14; 95% confidence interval, CI 1.08-1.20). However, only a minor proportion of the total individual variance in the probability of dying was at the municipality (M) and census tract (CT) levels (VPC(M)=0.2% and VPC(CT)=0.3%). Conversely, the household (H) level appeared much more relevant (VPC(H)=18.6%) than the administrative geographical areas. Without considering general contextual effects, both multilevel analyses of specific contextual effects and ecological studies of small-area variation may provide a misleading picture that overstates the role of administrative areas as contextual determinants of individual differences in mortality.

Introduction: Understanding and influencing multilevel factors across the cancer care continuum

Health care in the United States is notoriously expensive while often failing to deliver the care recommended in published guidelines. There is, therefore, a need to consider our approach to health-care delivery. Cancer care is a good example for consideration because it spans the continuum of health-care issues from primary prevention through long-term survival and end-of-life care. In this monograph, we emphasize that health-care delivery occurs in a multilevel system that includes organizations, teams, and individuals. To achieve health-care delivery consistent with the Institute of Medicine's six quality aims (safety, effectiveness, timeliness, efficiency, patient-centeredness, and equity), we must influence multiple levels of that multilevel system. The notion that multiple levels of contextual influence affect behaviors through interdependent interactions is a well-established ecological view. This view has been used to analyze health-care delivery and health disparities. However, experience considering multilevel interventions in health care is much less robust. This monograph includes 13 chapters relevant to expanding the foundation of research for multilevel interventions in health-care delivery. Subjects include clinical cases of multilevel thinking in health-care delivery, the state of knowledge regarding multilevel interventions, study design and measurement considerations, methods for combining interventions, time as a consideration in the evaluation of effects, measurement of effects, simulations, application of multilevel thinking to health-care systems and disparities, and implementation of the Affordable Care Act of 2010. Our goal is to outline an agenda to proceed with multilevel intervention research, not because it guarantees improvement in our current approach to health care, but because ignoring the complexity of the multilevel environment in which care occurs has not achieved the desired improvements in care quality outlined by the Institute of Medicine at the turn of the millennium.

Rural - urban inequalities in late-stage breast cancer: spatial and social dimensions of risk and access

Rural - urban inequalities in health and access to health care have long been of concern in health-policy formulation. Understanding these inequalities is critically important in efforts to plan a more effective geographical distribution of public health resources and programs. Socially and ethnically diverse populations are likely to exhibit different rural - urban gradients in health and well-being because of their varying experiences of place environments, yet little is known about the interplay between social and spatial inequalities. Using data from the Illinois State Cancer Registry, we investigate rural - urban inequalities in late-stage breast cancer diagnosis both for the overall population and for African-Americans, and the impacts of socioeconomic deprivation and spatial access to health care. Changes over time are analyzed from 1988 - 92 to 1998 - 2002, periods of heightened breast cancer awareness and increased access to screening. In both time periods, the risk of late-stage diagnosis is highest among patients living in the most urbanized areas, an indication of urban disadvantage. Multilevel modeling results indicate that rural - urban inequalities in risk are associated with differences in the demographic characteristics of area populations and differences in the social and spatial characteristics of the places in which they live. For African-American breast cancer patients, the rural - urban gradient is reversed, with higher risks among patients living outside the city of Chicago, suggesting a distinct set of health-related risks and place experiences that inhibit early breast cancer detection. Findings emphasize the need for combining spatial and social targeting in locating cancer prevention and treatment programs.

Statistical synthesis of contextual knowledge to increase the effectiveness of theory-based behaviour change interventions

Tailored implementation strategies targeting health professionals' adoption of evidence-based recommendations are currently being developed. Research has focused on how to select an appropriate theoretical base, how to use that theoretical base to explore the local context, and how to translate theoretical constructs associated with the key factors found to influence innovation adoption into feasible and tailored implementation strategies. The reasons why an intervention is thought not to have worked are often cited as being: inappropriate choice of theoretical base; unsystematic development of the implementation strategies; and a poor evidence base to guide the process. One area of implementation research that is commonly overlooked is how to synthesize the data collected in a local context in order to identify what factors to target with the implementation strategies. This is suggested to be a critical process in the development of a theory-based intervention. The potential of multilevel modelling techniques to synthesize data collected at different hierarchical levels, for example, individual attitudes and team level variables, is discussed. Future research is needed to explore further the potential of multilevel modelling for synthesizing contextual data in implementation studies, as well as techniques for synthesizing qualitative and quantitative data.

The male-to-female ratio and multiple sexual partners: multilevel analysis with patients from an STD clinic

Sexual partner concurrency plays an important role in HIV and STD transmission. The shortage of African-American men may facilitate partner concurrency. This study evaluated whether the male-to-female ratio was associated with African-American participants' number of recent sexual partners, and whether this association differed by gender. Multilevel modeling was used to determine the influence of individual (i.e., gender) and population-level (i.e., sex ratio) variables on the number of recent sexual partners. African-American patients (N = 915; 52% male) were recruited from an STD clinic. Patients reported their number of sexual partners; the male-to-female ratio per census tract was obtained from the U.S. Census Bureau. There were fewer men than women in nearly all census tracts. The interaction between gender and the male-to-female ratio was significant. For men, there was no association between the sex ratio and their number of sexual partners. For women, as the sex ratio increased, their number of sexual partners increased; however, this association was driven by participants who reported trading sex. We found no evidence that fewer African-American men in a census tract was associated with men having more sexual partners.

Relationship between inflammatory cytokines and self-report measures of training overload

It has been purported that inflammatory cytokines may be responsible for the aetiology of overtraining. The aim of the present study was to investigate the relationship between self-reported measures of overtraining and inflammatory cytokines. Eight elite male rowers were monitored in their natural training environment for 8 weeks prior to the 2007 Rowing World Championships. During this period of intense endurance training, self-report measures of overtraining and inflammatory cytokines (Interleukin (IL)-1beta, IL-6, IL-8, IL-10, IL-12p70, and Tumor Necrosis Factor (TNF)-alpha) were assessed fortnightly. Consistent with previous findings, proinflammatory cytokines IL-1beta and TNF-alpha were significantly associated (p <or= 0.05) with measures of depressed mood, sleep disturbances, and stress. Similarly, IL-6 was significantly associated (p <or= 0.01) with measures of depressed mood, sleep disturbances, and fatigue. These results are consistent with previous hypotheses describing how overtraining may be caused by excessive cytokine release, and lend further support for a cytokine hypothesis of overtraining.

Social inequalities in alcohol consumption in the Czech Republic: a multilevel analysis

Czech Republic traditionally ranks among the countries with the highest alcohol, consumption. This paper examines both risk and protective factors for frequent of alcohol, consumption in the Czech population using multilevel analysis. Risk factors were measured at the, individual level and at the area level. The individual-level data were obtained from a survey for a, sample of 3526 respondents aged 18-64 years. The area-level data were obtained from the Czech, Statistical Office. The group most inclinable to risk alcohol consumption and binge drinking are mainly, men, who live as single, with low education and also unemployed. Only the variable for divorce rate, showed statistical significance at both levels, thus the individual and the aggregated one. No cross-level interactions were found to be statistically significant.

Secular changes in mortality disparities in New York City: a reexamination

Previously published analyses showed that inequalities in mortality rates between residents of poor and wealthy neighborhoods in New York City (NYC) narrowed between 1990 and 2000, but these trends may have been influenced by population in-migration and gentrification. The NYC public housing population has been less subject to these population shifts than those in other NYC neighborhoods. We compared changes in mortality rates (MRs) from 1989-1991 to 1999-2001 among residents of NYC census blocks consisting entirely of public housing residences with residents of nonpublic housing low-income and higher-income blocks. Public housing and nonpublic housing low-income blocks were those in census block groups with > or =50% of residents living at <1.5 times the federal poverty level (FPL); nonpublic housing higher-income blocks were those in census block groups with <50% of residents living at <1.5 times the FPL. Information on deaths was obtained from NYC's vital registry, and US Census data were used for denominators. Age-standardized all-cause MRs in public housing, low-income, and higher-income residents decreased between the decades by 16%, 28%, and 22%, respectively. While mortality rate ratios between low-income and higher-income residents narrowed by 8%, the relative disparity between public housing and low-income residents widened by 21%. Diseases amenable to prevention including malignancies, diabetes, and chronic lung disease contributed to the increased overall mortality disparity between public housing and lower-income residents. These findings temper previous findings that inequalities in the health of poor and wealthier NYC neighborhood residents have narrowed. NYC public housing residents should be a high-priority population for efforts to reduce health disparities.

Rural reversal? Rural-urban disparities in late-stage cancer risk in Illinois

BACKGROUND

Differences in late-stage cancer risk between urban and rural residents are a key component of cancer disparities. Using data from the Illinois State Cancer Registry from 1998 through 2002, the authors investigated the rural-urban gradient in late-stage cancer risk for 4 major types of cancer: breast, colorectal, lung, and prostate.

METHODS

Multilevel modeling was used to evaluate the role of population composition and area-based contextual factors in accounting for rural-urban variation. Instead of a simple binary rural-urban classification, a finer grained classification was used that differentiated the densely populated City of Chicago from its suburbs and from smaller metropolitan areas, large towns, and rural settings.

RESULTS

For all 4 cancers, the risk was highest in the most highly urbanized area and decreased as rurality increases, following a J-shaped progression that included a small upturn in risk in the most isolated rural areas. For some cancers, these geographic disparities were associated with differences in population age and race; for others, the disparities remained after controlling for differences in population composition, zip code socioeconomic characteristics, and spatial access to healthcare.

CONCLUSIONS

The observed pattern of urban disadvantage emphasized the need for more extensive urban-based cancer screening and education programs.