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Effects of sleep deprivation and user interface on complex performance: a multilevel analysis of compensatory control.

This study was carried out to test the compensatory control model, which predicts performance maintenance under stress at the expense of effort and increased selectivity. It examined the effects of sleep deprivation on performance in an automated process control task based on a simplified life support system with two types of operator control panel interface: machine centered (M-C), in which access to the system was scheduled by the computer, and human-centered (H-C), in which access was ad-lib. The task environment also permitted the analysis of changes in strategy and in subsidiary activities (alarm reaction time, prospective memory). In a 2 x 2 repeated-measures design, 16 participants carried out the task with each interface after both normal sleep and one night of sleep deprivation (SD). No effects of SD were observed on primary task performance. As predicted, SD effects were confined to strategy changes and subsidiary task impairment and occurred only under the (low control) M-C interface. Subjective effort was increased under SD, with greater increases of effort associated with high levels of performance protection. The findings provide strong evidence in favor of the compensatory control model and argue for the use of complex, multilevel tasks in the analysis of performance under stress. Actual or potential applications include the development of more sensitive performance-testing systems based on multilevel analysis of decrement, and the design of interfaces for shift work and other suboptimal work conditions.

Adult↗

A brief conceptual tutorial on multilevel analysis in social epidemiology: investigating contextual phenomena in different groups of people.

STUDY OBJECTIVE: (1) To provide a didactic and conceptual (rather than mathematical) link between multilevel regression analysis (MLRA) and social epidemiological concepts. (2) To develop an epidemiological vision of MLRA focused on measures of health variation and clustering of individual health status within areas, which is useful to operationalise the notion of "contextual phenomenon". The paper shows how to investigate (1) whether there is clustering within neighbourhoods, (2) to which extent neighbourhood level differences are explained by the individual composition of the neighbourhoods, (3) whether the contextual phenomenon differs in magnitude for different groups of people, and whether neighbourhood context modifies individual level associations, and (4) whether variations in health status are dependent on individual level characteristics. DESIGN AND PARTICIPANTS: Simulated data are used on systolic blood pressure (SBP), age, body mass index (BMI), and antihypertensive medication (AHM) ascribed to 25 000 subjects in 39 neighbourhoods of an imaginary city. Rather than assessing neighbourhood variables, the paper concentrated on SBP variance between individuals and neighbourhoods as a function of individual BMI. RESULTS: The variance partition coefficient (VPC) showed that clustering of SBP within neighbourhoods was greater for people with a higher BMI. The composition of the neighbourhoods with respect to age, AHM use, and BMI explained about one fourth of the neighbourhood differences in SBP. Neighbourhood context modified the individual level association between BMI and SBP. Individual level differences in SBP within neighbourhoods were larger for people with a higher BMI. CONCLUSIONS: Statistical measures of multilevel variations can effectively quantify contextual effects in different groups of people, which is a relevant issue for understanding health inequalities.

Adult↗

Racial disparities in context: a multilevel analysis of neighborhood variations in poverty and excess mortality among black populations in Massachusetts.

OBJECTIVES: We analyzed neighborhood heterogeneity in associations among mortality, race/ethnicity, and area poverty. METHODS: We performed a multilevel statistical analysis of Massachusetts all-cause mortality data for the period 1989 through 1991 (n=142836 deaths), modeled as 79813 cells (deaths and denominators cross-tabulated by age, gender, and race/ethnicity) at level 1 nested within 5532 block groups at level 2 within 1307 census tracts (CTs) at level 3. We also characterized CTs by percentage of the population living below poverty level. RESULTS: Neighborhood variation in mortality across CTs and block groups was not accounted for by these areas' age, gender, and racial/ethnic composition. Neighborhood variation in mortality was much greater for the Black population than for the White population, largely because of CT-level variation in poverty rates. CONCLUSIONS: Neighborhood heterogeneity in the relationship between mortality and race/ethnicity in Massachusetts is statistically significant and is closely related to CT-level variation in poverty.

Adolescent↗

A brief conceptual tutorial on multilevel analysis in social epidemiology: interpreting neighbourhood differences and the effect of neighbourhood characteristics on individual health.

STUDY OBJECTIVE: Using a conceptual rather than a mathematical approach, this article proposed a link between multilevel regression analysis (MLRA) and social epidemiological concepts. It has been previously explained that the concept of clustering of individual health status within neighbourhoods is useful for operationalising contextual phenomena in social epidemiology. It has been shown that MLRA permits investigating neighbourhood disparities in health without considering any particular neighbourhood characteristic but only information on the neighbourhood to which each person belongs. This article illustrates how to analyse cross level (neighbourhood-individual) interactions, how to investigate associations between neighbourhood characteristics and individual health, and how to use the concept of clustering when interpreting those associations and geographical differences in health. DESIGN AND PARTICIPANTS: A MLRA was performed using hypothetical data pertaining to systolic blood pressure (SBP) from 25 000 subjects living in the 39 neighbourhoods of an imaginary city. Associations between individual characteristics (age, body mass index (BMI), use of antihypertensive drug, income) or neighbourhood characteristic (neighbourhood income) and SBP were analysed. RESULTS: About 8% of the individual differences in SBP were located at the neighbourhood level. SBP disparities and clustering of individual SBP within neighbourhoods increased along individual BMI. Neighbourhood low income was associated with increased SBP over and above the effect of individual characteristics, and explained 22% of the neighbourhood differences in SBP among people of normal BMI. This neighbourhood income effect was more intense in overweight people. CONCLUSIONS: Measures of variance are relevant to understanding geographical and individual disparities in health, and complement the information conveyed by measures of association between neighbourhood characteristics and health.

Antihypertensive Agents↗

Covariation in the socioeconomic determinants of self rated health and happiness: a multivariate multilevel analysis of individuals and communities in the USA.

OBJECTIVE: To investigate individual level determinants of self rated health and happiness, as well as the extent of community level covariation in health and happiness. DESIGN: Multivariate multilevel regression analysis of self rated poor health and unhappiness at level 1, nested within 24 118 people at level 2, nested within 36 communities at level 3. Data were obtained from the 2000 social capital benchmark survey. SETTING: USA communities. PARTICIPANTS: 24 118 adults. MAIN OUTCOME MEASURES: Self reported fair/poor health; and a single item measure of subjective wellbeing. RESULTS: Controlling for demographic markers, a strong income and education gradient was seen for self rated poor health and unhappiness, with the gradient being stronger for poor health. Community level correlations between self rated poor health and happiness were stronger (0.65) than the individual level correlations (0.16) between the two outcomes. CONCLUSION: Poor health and unhappiness are highly positively correlated within individuals, and communities that are healthier tend to be happier and vice versa.

Adolescent↗

Why are uneducated women in India using contraception? A multilevel analysis.

While women's education continues to be strongly associated with lower fertility in India, an important feature of India's current fertility transition is the spread of contraceptive use among uneducated women. Indeed, changes in their fertility are now making the major contribution to the country's overall fertility decline. We use multilevel statistical procedures to investigate the variation in contraceptive use among uneducated women across India. The analysis suggests that, while many of the expected socio-economic variables play their part, there are also considerable diffusion effects in progress, many of which operate at levels beyond the uneducated women's own individual circumstances. For example, we find significant relationships with others' use of contraception and others' education. Mass media exposure also emerges as an important diffusion channel. The multilevel analysis also reveals significant clustering of contraceptive use at different levels, much of which is accounted for by the variables included in the models.

Contraception↗

Mental health, places and people: a multilevel analysis of economic inactivity and social deprivation.

Using data on 24,975 respondents to the Welsh Health Survey 1998 aged 17-74 years, we investigated associations between individual mental health status measured using the SF-36 instrument, social class, economic inactivity and the electoral division Townsend deprivation score. In a multilevel modelling analysis, we found mental health was significantly associated with the Townsend score after adjusting for composition, and this effect was strongest in respondents who were economically inactive. Further contextual effects were shown by significant random variability in the slopes of the relation between mental health and economic inactivity at the electoral division level. Our results suggest that the places in which people live affect their mental health, supporting NHS policy that multi-agency planning to reduce inequalities in mental health status should address the wider determinants of health, as well as services for individual patients.

Adolescent↗

Variation in requests for imaging investigations by general practitioners: a multilevel analysis.

OBJECTIVES: To describe the variation in the numbers of imaging investigations requested by general practitioners (GPs) and to find likely explanations for this variation. METHODS: Cross-sectional survey of the use of eight imaging investigations by 229 GPs collaborating in 40 local GP groups from five regions in the Netherlands during 1997. A multivariable, multilevel regression analysis was used to link these data with survey data on professional characteristics such as knowledge about and attitude towards test ordering, and with data on contextual factors such as practice type or experience with feedback on test-ordering data. RESULTS: Data for 221 GPs (97%) were available. After adjustment for practice size and working time, the median number of imaging investigations ordered per GP was 148 (interquartile range 71 to 300), with large differences (up to twofold) between the regions (P<0.001). Overall, chest X-rays were the largest single category (median = 48 interquartile range 17 to 100). GPs working in a group practice requested, on average, 34% fewer investigations than their colleagues working in single-person practices (95% confidence interval 17 to 48%). CONCLUSIONS: Only practice type was found to be associated with the number of imaging investigations requested, adjusted for practice size and working time factor. No further explanations were found for the inter-regional differences. Future studies on the ordering of imaging investigations by GPs should attempt to delineate contextual from regional factors.

Diagnostic Imaging↗

Linking social capital and self-rated health: a multilevel analysis of 11,175 men and women in Sweden.

This multilevel study included 11,175 participants interviewed 2000-2002 in Sweden. The association between neighbourhood linking social capital (voting in national elections) and self-rated health was analysed. Individuals living in neighbourhoods with the lowest levels of linking social capital exhibited a significantly higher risk of poor health than individuals living in neighbourhoods with the highest levels of linking social capital, after adjustment for individual characteristics, including individual voting. The neighbourhood variance indicated significant differences in self-rated health between neighbourhoods. Both individuals and neighbourhoods need to be targeted in order to enhance people's health in neighbourhoods with low linking social capital.

Adult↗

Multilevel analysis of systolic blood pressure and ACE gene I/D polymorphism in 438 Swedish families--a public health perspective.

BACKGROUND: Individuals belonging to the same family share a number of genetic as well as environmental circumstances that may condition a common SBP level. Among the genetic factors, the angiotensin converting enzyme (ACE) gene I/D polymorphism appears as a possible candidate as it might influence both SBP and the pharmacological effect of ACE inhibitors. We aimed to combine genetic epidemiology with public health ideas concerning life-course and multilevel epidemiology in order to understand the role of familial factors regarding individual SBP. METHODS: We applied multilevel regression analysis on 1926 individuals nested within 438 families from South Sweden. Modelling familial SBP variance as a function of age and use of ACE inhibitors we calculates a variance partition coefficient and the proportional change in familial SBP variance attributable to differences in ACE gene I/D polymorphism RESULTS: Our results suggest the existence of genetic or environmental circumstances that produce a considerable familial clustering of SBP, especially among individuals using ACE-inhibitors. However, ACE gene I/D polymorphism seems to play a minor role in this context. In addition, familial factors--genetic, environmental or their interaction--shape SBP among non-users of ACE inhibitors but their effect is expressed later in the life-course. CONCLUSION: Strategies directed to prevent hypertension should be launched in younger rather than in older ages and both prevention of hypertension and its treatment with ACE inhibitors should be focused on families rather than on individuals.

Angiotensin-Converting Enzyme Inhibitors↗

The prognostic value of several periodontal factors measured as radiographic bone level variation: a 10-year retrospective multilevel analysis of treated and maintained periodontal patients.

BACKGROUND: Assigning a prognosis to a periodontal patient is one of the greatest challenges in clinical practice. Many different factors can affect the result of periodontal therapy. The purpose of this study was to evaluate the prognostic value of some clinical, genetic, and radiographic variables in predicting bone level variation in periodontal patients (aged 40 to 60) treated and maintained for 10 years. METHODS: Sixty consecutive non-smoking patients (mean age 46.77 +/- 4.96) with moderate to severe chronic periodontitis were treated with scaling and root planing (SRP). Some patients also underwent additional surgical treatments. All patients were maintained in the same private practice for 10 years. At baseline (T0) and at least 10 years later (T2), the following clinical variables were evaluated: probing depth (PD), tooth mobility (TM), presence of prosthetic restorations (PR), and molar teeth (MT). In addition, radiographic measurements were taken of the mesial and distal distances from the cemento-enamel junction (CEJ) to the bottom of the defect (BD), to the bone crest (BC), and to the root apex (RA). At T2, a genetic test to determine the IL-1 genotype and genetic susceptibility for severe periodontal disease was performed for all 60 patients. Based on the results of this assay, the patients were categorized as IL-1 genotype positive (G+) or negative (G-). The differences between the bone levels measured at T0 and T2 (ABD), indicating the bone level variation, was used as the outcome variable. Different predictor variables were then tested using a 3-level statistical model (multilevel statistical analysis; patient, tooth, and site level). At the patient level these were: age, gender, and interaction between mean bone loss and the IL-1 genotype (mean CEJ-BD(T0) x IL-1 genotype). At the tooth level the variables were: TM(T0), PR(T0), MT(T0); and at the site level the evaluated factors were: the infrabony component of the defect (CEJ-BD(T0) - CEJ-BC(T0), PD(T0), bone level (CEJ-BD(T0)), and the residual supporting bone (BD-RA(T0)). RESULTS: Among the considered predictor parameters, the following were significantly associated with the outcome variable: 1) mean CEJ-BD(T0) x IL-1 genotype (P = 0.0019); 2) TM(T0) (P < 0.0000); 3) CEJ-BD(T0) (P < 0.0000); 4) CEJ-BD(T0) - CEJ-BC(T0) (P < 0.0000); 5) PD(T0) (P = 0.0010). Deeper probing depths at a site and tooth mobility at baseline were associated with worst prognosis. Greater CEJ-BD(T0) distance and infrabony component at a site at baseline were associated with a better prognosis. The interaction between mean CEJ-BD measurement at baseline and IL-1 genotype was significantly associated both with a good or a poor prognosis. The other parameters evaluated - age, gender, presence of molars and prosthetic restorations, and residual supporting bone - were not significantly associated with bone level variation. CONCLUSIONS: Within the scope of this study design, many traditional prognostic factors were ineffective in predicting future bone level variation and therefore were of no prognostic value. Conversely, a few specific factors at each level emerged as valuable prognostic factors. At the patient level, the prognostic factor was initial mean bone level in conjunction with a positive IL-1 genotype. At the tooth level, the prognostic factor was tooth mobility. At the site level, the significant prognostic factors were initial bone level at a site, the infrabony component of a defect, and initial probing depth at a site. The use of these factors may be of value to clinicians as predictors of bone level variation when assigning a prognosis to a patient, a tooth, or a site.

Adult↗

The effects of regional characteristics on alcohol-related mortality-a register-based multilevel analysis of 1.1 million men.

The aim of this study is to assess to what extent selected characteristics of functional regions affect alcohol-related mortality among men in Finland after adjusting for individual-level characteristics. The study was conducted as a multilevel Poisson regression analysis, with individuals (n = 1.1 million) as the first level and functional regions of Finland (n = 84) as the second level. The analysis covered men aged 25-64. The data are based on the 1990 census records, which were linked to death records in 1991-1996. The outcome measure was alcohol-related mortality, which was defined using information on the underlying and contributory causes of death. The individual-level covariates included age, education, socioeconomic status, marital status and mother tongue. The area-level variables considered were the proportion of manual workers, unemployment level, median household income, Gini coefficient of income, family cohesion, voting turnout, level of urbanisation and proportion of Swedish-speaking inhabitants. A high proportion of manual workers and of unemployed and low social cohesion (family cohesion and voting turnout) were found to produce adverse effects on alcohol-related mortality, and the independent effects of these variables remained after adjustment for all individual-level and area-level characteristics. The protective effect of high level of urbanisation was revealed after adjustment for other individual- and area-level characteristics. Neither mean income nor income inequality were related to alcohol-related mortality. Adjusting for individual-level variables diminished the average relative deviation of alcohol-related mortality among the functional regions by 41%. The inclusion of area-level characteristics in the model resulted in a total diminution of variation of 79%. The area characteristics considered in this study had a notable effect on alcohol-related mortality, although these effects were smaller than those of the individual-level characteristics. Fuller understanding of the mechanisms underlying the effects of area measures of social structure and cohesion on risky alcohol consumption and alcohol-related mortality is needed.

Adult↗

Are state patterns of smoking different for different racial/ethnic groups? an application of multilevel analysis.

OBJECTIVES: Tobacco use research has often assumed "average" effects across place, race, and socioeconomic position. We explored and mapped the variation in smoking prevalence for racial/ethnic groups by gender and state after adjusting for demographic factors. METHODS: We executed a cross-sectional, weighted, two-level multilevel multiple regression analysis (individuals in states), with current smoking as the outcome, using the 1995-1996 Current Population Survey Tobacco Use Supplement, for non-Hispanic (NH) whites, NH blacks, and Hispanics. We also calculated adjusted smoking prevalence, 95% confidence intervals, Spearman correlations, and state residual-based maps to examine state patterns. RESULTS: We found different smoking patterns for each racial group. Black women's smoking rates were markedly lower than the national subgroup rate in six clustered states in the deep South. Smoking rates for whites were higher than the subgroup national rate in several Great Lakes states, Texas, Nevada, and North Carolina. For white women, several rural Midwest states displayed lower-than-expected smoking rates (Idaho, Utah, South Dakota, and Nebraska). We documented positive correlations for smoking prevalence between men and women within each racial group, but not between racial groups, indicating a race-specific pattern of smoking. We found that state tobacco variables (taxation and agriculture) did not account for remaining state smoking variance after inclusion of demographic variables. CONCLUSION: Multilevel modeling may enhance surveillance of tobacco use patterns. Focusing on race-specific state smoking patterns may illuminate why racial/ethnic minority groups exhibit lower smoking prevalence compared to their white counterparts, by examining context of smoking that may be race-specific.

Adolescent↗

Bonding versus bridging social capital and their associations with self rated health: a multilevel analysis of 40 US communities.

STUDY OBJECTIVE: Few studies have distinguished between the effects of different forms of social capital on health. This study distinguished between the health effects of summary measures tapping into the constructs of community bonding and community bridging social capital. DESIGN: A multilevel logistic regression analysis of community bonding and community bridging social capital in relation to individual self rated fair/poor health. SETTING: 40 US communities. PARTICIPANTS: Within community samples of adults (n = 24 835), surveyed by telephone in 2000-2001. MAIN RESULTS: Adjusting for community sociodemographic and socioeconomic composition and community level income and age, the odds ratio of reporting fair or poor health was lower for each 1-standard deviation (SD) higher community bonding social capital (OR = 0.86; 95% = 0.80 to 0.92) and each 1-SD higher community bridging social capital (OR = 0.95; 95% CI = 0.88 to 1.02). The addition of indicators for individual level bonding and bridging social capital and social trust slightly attenuated the associations for community bonding social capital (OR = 0.90, 95% CI = 0.84 to 0.97) and community bridging social capital (OR = 0.96, 95% CI = 0.89 to 1.03). Individual level high formal bonding social capital, trust in members of one's race/ethnicity, and generalised social trust were each significantly and inversely related to fair/poor health. Furthermore, significant cross level interactions of community social capital with individual race/ethnicity were seen, including weaker inverse associations between community bonding social capital and fair/poor health among black persons compared with white persons. CONCLUSIONS: These results suggest modest protective effects of community bonding and community bridging social capital on health. Interventions and policies that leverage community bonding and bridging social capital might serve as means of population health improvement.

Adult↗

Patient satisfaction with nursing care: a multilevel analysis.

Although prior research has suggested that satisfaction with nursing care is affected by multilevel factors (e.g., patient characteristics, episode-of-care, the institution providing care), these studies typically focused only on a single level of analysis. The present study examines three levels of influence simultaneously to assess the relative effect each has on satisfaction. Results suggest that satisfaction is determined primarily by the patient and the episode of care; organization-level factors explained almost no additional variance.

Episode of Care↗

Does place matter for cancer survival in Norway? A multilevel analysis of the importance of hospital affiliation and municipality socio-economic resources.

Multilevel discrete-time hazard models for cancer mortality in cancer patients were estimated from register and census data to find out whether hospital affiliation and municipality socio-economic resources had an impact on cancer survival in Norway in the 1990s. Affiliation to a small local hospital was a disadvantage in only one health region. There were also other differences between health regions. Most notably, those who lived in Oslo and Southern Norway had a relatively poor survival, given the size of the nearest hospital. In addition to confirming the better prognosis for patients who themselves had high education, it was found that survival improved with increasing average education. This was primarily a result of earlier diagnosis. The impact of the economic situation was less clear. While a high average income was unrelated to mortality, as opposed to the beneficial impact of high individual income, a high unemployment rate, picking up also effects of individual unemployment, had an adverse effect.

Adult↗

Senior student smoking at school, student characteristics, and smoking onset among junior students: a multilevel analysis.

BACKGROUND: Current research on the etiology of tobacco use has largely focused on identifying the influential psychosocial characteristics of individual students; the influences of characteristics in the school environment are generally ignored. The purpose of this study was to simultaneously examine how school and individual student characteristics were related to smoking onset. METHOD: Multilevel logistic regression analysis was used to examine how the senior student smoking rate at a school and the psychosocial characteristics of students were able to differentiate tried-once smokers from experimental smokers in a sample of 4850 grade 9, 10, and 11 students from the School Smoking Profile (SSP) project. RESULTS: Each 1% increase in smoking rate among high school seniors increased the odds that a junior student was an experimental smoker vs. a tried-once smoker (OR 1.07, 95% CI 1.03-1.12). A significant contextual interaction was identified where the senior student smoking rate at a school moderates the negative influence of having close friends who smoke. Influential student characteristics were also identified. CONCLUSIONS: The smoking prevalence of older students at a school is directly related to smoking onset among younger students at that school. Prevention programs should target schools that put students at-risk.

Adolescent↗

The role country of birth plays in receiving disability pensions in relation to patterns of health care utilisation and socioeconomic differences: a multilevel analysis of Malmo, Sweden.

BACKGROUND: People of low socioeconomic status have worse health and a higher probability of being granted a disability pension than people of high socioeconomic status. It is also known that public and private general physicians and public and private specialists have varying practices for issuing sick leave certificates (which, if longstanding, may become the basis of disability pensions). However, few studies have investigated the influence of a patient's country of birth in this context. METHODS: We used multilevel logistic regression analysis with individuals (first level) nested within countries of birth (second level). We analysed the entire population between the ages of 40 and 64 years (n = 80,212) in the city of Malmo, Sweden, in 2003, and identified 73% of that population who had visited a physician at least once during that year. We studied the associations between individuals and country of birth socioeconomic characteristics, as well as individual utilisation of different kinds of physicians in relation to having been granted a disability pension. RESULTS: Living alone (ORwomen = 1.72, 95% CI: 1.62-1.82; ORmen = 2.64, 95% CI: 2.46-2.83) and having limited educational achievement (ORwomen = 2.14, 95% CI: 2.00-2.29; ORmen = 2.12, 95% CI: 1.98-2.28) were positively associated with having a disability pension. Utilisation of public specialists was associated with a higher probability (ORwomen = 2.11, 95% CI: 1.98-2.25; ORmen = 2.16, 95% CI: 2.01-2.32) and utilisation of private GPs with a lower probability (ORmen = 0.76, 95% CI: 0.69-0.83) of having a disability pension. However, these associations differed by countries of birth. Over and above individual socioeconomic status, men from middle income countries had a higher probability of having a disability pension (ORmen = 1.61, 95% CI: 1.06-2.44). CONCLUSION: The country of one's birth appears to play a significant role in understanding how individual socioeconomic differences bear on the likelihood of receiving a disability pension and on associated patterns of health care utilisation.

Adult↗