Regional differences in multidimensional aspects of health: findings from the MRC cognitive function and ageing study

The geographic pattern of Belgian mortality: can socio-economic characteristics explain area differences?

Background

Country averages for health outcomes hide important within-country variations. This paper probes into the geographic Belgian pattern of all-cause mortality and wishes to investigate the contribution of individual and area socio-economic characteristics to geographic mortality differences in men aged 45–64 during the period 2001–2011.

Methods

Data originate from a linkage between the Belgian census of 2001 and register data on mortality and emigration during the period 2001–2011. Mortality rate ratios (MRRs) are estimated for districts and sub-districts compared to the Belgian average mortality level using Poisson regression modelling. Individual socio-economic position (SEP) indicators are added to examine the impact of these characteristics on the observed geographic pattern. In order to scrutinize the contribution of area-level socio-economic characteristics, random intercepts Poisson modelling is performed with predictors at the individual and the sub-district level. Random intercepts and slopes models are fitted to explore variability of individual-level SEP effects.

Results

All-cause MRRs for middle-aged Belgian men are higher in the geographic areas of the Walloon region and the Brussels-Capital Region (BCR) compared to those in the Flemish region. The highest MRRs are observed in the inner city of the BCR and in several Walloon cities. Their disadvantage can partially be explained by the lower individual SEP of men living in these areas. Similarly, the relatively low MRRs observed in the districts of Halle-Vilvoorde, Arlon and Virton can be related to the higher individual SEP. Among the area-level characteristics, both the percentage of men employed and the percentage of labourers in a sub-district have a protective effect on the individual MRR, regardless of individual SEP. Variability in individual-level SEP effects is limited.

Conclusions

Individual SEP partly explains the observed mortality gap in Belgium for some areas. The percentage of men employed and the percentage of labourers in a sub-district have an additional effect on the individual MRR aside from that of individual SEP. However, these socio-economic factors cannot explain all of the observed differences. Other mechanisms such as public health policy, cultural habits and environmental influences contribute to the observed geographic pattern in all-cause mortality among middle-aged men.

Electronic supplementary material

The online version of this article (doi:10.1186/s13690-016-0135-y) contains supplementary material, which is available to authorized users.

What does age-comparative self-rated health measure? A cross-sectional study from the Northern Sweden MONICA Project

AIMS

Self-rated health comprehensively accounts for many health domains. Using self-ratings and a knowledge of associations with health domains might help personnel in the health care sector to understand reports of ill health. The aim of this paper was to investigate associations between age-comparative self-rated health and disease, risk factors, emotions and psychosocial factors in a general population.

METHODS

We based our study on population-based cross-sectional surveys performed in 1999, 2004 and 2009 in northern Sweden. Participants were 25-74 years of age and 5314 of the 7500 people invited completed the survey. Comparative self-rated health was measured on a three-grade ordinal scale by the question 'How would you assess your general health condition compared to persons of your own age?' with the alternatives 'better', 'worse' or 'similar'. The independent variables were sex, age, blood pressure, cholesterol, body mass index, self-reported myocardial infarction, stroke, diabetes, physical activity, smoking, risk of unemployment, satisfaction with economic situation, anxiety and depressive emotions, education and Karasek scale of working conditions. Odds ratios using ordinal regression were calculated.

RESULTS

Age, sex, stroke, myocardial infarction, diabetes, body mass index, physical activity, economic satisfaction, anxiety and depressive emotions were associated with comparative self-rated health. The risk of unemployment, a tense work situation and educational level were also associated with comparative self-rated health, although they were considerably weaker when adjusted for the the other variables. Anxiety, depressive emotions, low economic satisfaction and a tense work situation were common in the population.

CONCLUSIONS

Emotions and economic satisfaction were associated with comparative self-rated health as well as some medical variables. Utilization of the knowledge of these associations in health care should be further investigated.

A Systematic Literature Review of Studies Analyzing Inequalities in Health Expectancy among the Older Population

Aim

To collect, organize and appraise evidence of socioeconomic and demographic inequalities in health and mortality among the older population using a summary measure of population health: Health Expectancy.

Methods

A systematic literature review was conducted. Literature published in English before November 2014 was searched via two possible sources: three electronic databases (Web of Science, Medline and Embase), and references in selected articles. The search was developed combining terms referring to outcome, exposure and participants, consisting in health expectancy, socioeconomic and demographic groups, and older population, respectively.

Results

Of 256 references identified, 90 met the inclusion criteria. Six references were added after searching reference lists of included articles. Thirty-three studies were focused only on gender-based inequalities; the remaining sixty-three considered gender along with other exposures. Findings were organized according to two leading perspectives: the type of inequalities considered and the health indicators chosen to measure health expectancy. Evidence of gender-based differentials and a socioeconomic gradient were found in all studies. A remarkable heterogeneity in the choice of health indicators used to compute health expectancy emerged as well as a non-uniform way of defining same health conditions.

Conclusions

Health expectancy is a useful and convenient measure to monitor and assess the quality of ageing and compare different groups and populations. This review showed a general agreement of results obtained in different studies with regard to the existence of inequalities associated with several factors, such as gender, education, behaviors, and race. However, the lack of a standardized definition of health expectancy limits its comparability across studies. The need of conceiving health expectancy as a comparable and repeatable measure was highlighted as fundamental to make it an informative instrument for policy makers.

Gender differences in mental health expectancies in early- and midlife in six European countries

BACKGROUND

Health expectancies, taking into account both quality and quantity of life, have generally been based on disability and physical functioning.

AIMS

To compare mental health expectancies at age 25 and 55 based on common mental disorders both across countries and between males and females.

METHOD

Mental health expectancies were calculated by combining mortality data from population life tables and the age-specific prevalence of selected common mental disorders obtained from the European Study of the Epidemiology of Mental Disorders (ESEMeD).

RESULTS

For the male population aged 25 (all countries combined) life expectancy was 52 years and life expectancy spent with a common mental disorder was 1.8 years (95% CI 0.7-2.9), 3.4% of overall life expectancy. In comparison, for the female population life expectancy at age 25 was higher (57.9 years) as was life expectancy spent with a common mental disorder (5.1 years, 95% CI 3.6-6.6) and as a proportion of overall life expectancy, 8.8%. By age 55 life expectancy spent with a common mental disorder had reduced to 0.7 years (males) and 2.3 years (females).

CONCLUSIONS

Age and gender differences underpin our understanding of years spent with common mental disorders in adulthood. Greater age does not mean living relatively more years with common mental disorder. However, the female population spends more years with common mental disorders and a greater proportion of their longer life expectancy with them (and with each studied separate mental disorder).

Self-perceived health status in older adults: regional and sociodemographic inequalities in Spain

OBJECTIVE

To assess regional and sociodemographic differences in self-perceived health status among older adults.

METHODS

A face-to-face quality of life survey was conducted in a representative sample of the Spanish population comprising 1,106 non-institutionalized elderly aged 60 or more in 2008. Logistic regression models were used to explain self-perceived health status according to the EuroQol Group Visual Analogue Scale (EQ-VAS). Independent variables included sociodemographic and health characteristics as well as the nomenclature of territorial units for statistics level 1 (NUTS1: group of autonomous regions) and level 2 (NUTS 2: autonomous regions).

RESULTS

Younger and better off respondents were more likely to have a positive self-perceived health status. Having no chronic conditions, independence in performing daily living activities and lower level of depression were also associated with positive self-perceived health status. People living in the south of Spain showed a more negative self-perceived health status than those living in other regions.

CONCLUSION

The study results point to health inequality among Spanish older adults of lower socioeconomic condition and living in the south of Spain. The analysis by geographic units allows for international cross-regional comparisons.

Neighbourhood deprivation and regional inequalities in self-reported health among Canadians: are we equally at risk?

Individual-level data from the Canadian Community Health Survey was combined with area-level data from the 2001 Canada Census to explore the relationship between neighbourhood deprivation and regional inequalities in self-reported health (n=120,290). While neighbourhood deprivation was a significant predictor of fair/poor health in all geographic regions (OR=1.11; 95% CI: 1.08, 1.14), living on the Atlantic and Pacific coasts exacerbated the detrimental effects of neighbourhood deprivation on the perceived health of respondents (OR=1.21; 1.28). By failing to explore regional variations in risk, we could fail to identify areas where provincial policies may interact with neighbourhood factors to reinforce health inequalities amongst deprived communities.

Are gaps in disability free life expectancies diminishing in Italy?

This paper studies gender differences in disability free life expectancy (DFLE), taking into account mortality and disability contributions. After analysing the types of disability that account for such differences, it goes on to examine temporal variability and age contributions to mortality and disability variation. The method used is an extension of Arriaga's model proposed by Nusselder. In 2005, disability free life expectancy at age 30 was 46.23 years for men and 48.74 years for women, with a gender difference of 2.51 years. Decomposing this difference we find that the mortality effect is 3.70 years, while the disability effect is negative and equal to -1.19 years. Ten years earlier, in 1994, DFLE at age 30 was 43.24 years for men and 46.55 years for women, with a difference between genders of 3.32 years. This broke down to a mortality effect of 4.33 years and a disability effect of -1.02 years. In conclusion, the gap in DFLE between men and women is narrowing, thanks to the more rapid drop in mortality rates in men. With respect to disabilities women are disadvantaged, although the difference (in both total disability and different types of disability) has been almost stable in recent years.

Regional variations in and correlates of disability-free life expectancy among older adults in China

Background

Considerable socioeconomic and health inequalities have been reported in China. However, because of a lack of appropriate data, limited research has been conducted on variations in disability-free life expectancy (DFLE) among older adults. This study aimed to use the most up-to-date disability survey data to explore geographical variations in DFLE at age 60 in China and to identify the socioeconomic and health care factors that partially account for these variations.

Methods

This study used 2006 mortality data extrapolated from the 1990 and 2000 Census and disability data from a national disability survey conducted in 2006. Disability was performance based and was diagnosed by trained physicians. DFLE was calculated by region using the Sullivan method. Multiple linear regression models by gender were conducted to explore correlates of DFLE.

Results

DFLE at age 60 varied widely by region, from 11.2 to 20.8 years in 2006. Per capita gross domestic product, proportion of urban residents, and access to health care were the primary factors associated with geographical variations in DFLE.

Conclusion

The pattern of differences in DFLE by region mirrors the pattern of regional economic development in China. Countermeasures to decrease regional differences in DFLE include accelerating regional economic development and improving health care distribution.

Estimating stroke-free and total life expectancy in the presence of non-ignorable missing values

A continuous time three-state model with time-dependent transition intensities is formulated to describe transitions between healthy and unhealthy states before death. By using time continuously, known death times can be taken into account. To deal with possible non-ignorable missing states, a selection model is proposed for the joint distribution of both the state and whether or not the state is observed. To estimate total life expectancy and its subdivision into life expectancy in health and ill health, the three-state model is extrapolated beyond the follow-up of the study. Estimation of life expectancies is illustrated by analysing data from a longitudinal study of aging where individuals are in a state of ill health if they have ever experienced a stroke. Results for the selection model are compared with results for a model where states are assumed to be missing at random and with results for a model that ignores missing states.

Education differences in life expectancy with cognitive impairment

Background

Low education has an impact on life expectancy and level of cognition, but little is known on its effect on life expectancy with cognitive impairment.

Methods

The Medical Research Council Cognitive Function and Ageing Study (MRC CFAS) collected population-based longitudinal data on people aged 65 years and older including measures of education and cognitive impairment, using the Mini-Mental State Examination (MMSE), for five geographically diverse areas around England and Wales interviewed between 1991 and 2003. Transitions between health states were calculated using Markov chain methods. Life expectancy in different states of cognitive function as measured by MMSE were further explored for different education groups. The effect of fixed and educationally based cut points for cognitive impairment are investigated.

Results

Life expectancy spent with cognitive impairment is fairly constant with increasing age at around 1.4 years in men and 2.5 years in women, though this reflects a large increase in the proportion of life spent with cognitive impairment. The differences seen between education groups for the proportion of total life with cognitive impairment (men 13% and women 22% of life lived for low education vs men 7% and women 12% in high education group) disappear when education-adjusted cut points are used (10% in men and 17% in women at age 65 for all education groups).

Conclusions

The results show that there is a substantial amount of life expectancy with cognitive impairment in both men and women. The impairment burden is just as great for those with high education as the lowest educated group.

Determinants of Self-Rated Health Items With Different Points of Reference

Objective: This study assessed whether three commonly used self-rated health (SRH) items (global, age-comparative, and self-comparative) are equivalent measures of health perception for older adults. Method: Regression analyses were used to simultaneously contrast the associations between physical, psychological, and social factors relating to health for three SRH items, in a large ( N = 2,034) population-based sample of older adults (65 years and older) from the Australian Longitudinal Study of Aging. Results: Health perceptions were more positive for the age-comparative SRH measure, compared to the pessimistic ratings of the self-comparative measure, particularly for the oldest-old adults. Different patterns of associations between the health factors and SRH measures were found. Discussion: These results show the three SRH items are not equivalent measures of health and cannot be used interchangeably. The reference point of the SRH item has a considerable influence on health perceptions of older adults as it encapsulates unique health information.

A piecewise-constant Markov model and the effects of study design on the estimation of life expectancies in health and ill health

Multi-state models are frequently applied to describe transitions over time between three states: healthy, not healthy and death. The three-state model can be used to estimate life expectancies in health and ill health. In this article, continuous-time Markov models are specified for the transitions between the three states. Transition intensities are regressed on age as a time-dependent covariate. The covariate is handled in a piecewise-constant fashion where the time interval between two consecutive observations is divided into subintervals of fixed and equal lengths. Study design choices such as sample size, length of follow-up, and time intervals between observations are investigated in a simulation study. The effects on parameter estimation are discussed as well as the effects on the estimation of life expectancies. In addition, data taken from the UK Cognitive Functioning and Ageing Study are analysed.

Cohort changes in cognitive function among Danish centenarians. A comparative study of 2 birth cohorts born in 1895 and 1905

BACKGROUND/AIM

The objective was to examine cohort changes in cognitive function in 2 cohorts of centenarians born 10 years apart.

METHODS

The Longitudinal Study of Danish Centenarians comprises all Danes reaching the age of 100 in the period April 1, 1995 through May 31, 1996. A total of 207 out of 276 persons participated (75%). The Danish 1905 Cohort Survey includes all individuals born in 1905. In total, 225 out of 364 persons who reached the age of 100 in the cohort participated in the most recent 2005 follow-up (62%). In both cohorts, cognitive function was assessed using the Mini-Mental State Examination.

RESULTS

There were no significant differences in cognitive score between the two centenarian birth cohorts. However, modest tendencies were seen towards better cognitive functioning for the centenarians in the 1905 cohort living at home compared to the home-dwelling ones in the 1895 cohort and worse cognitive performance for the centenarians in the 1905 group living in nursing homes compared to the nursing home dwellers in the 1895 cohort.

CONCLUSION

The increasing number of centenarians may not entail larger proportions of cognitively impaired individuals in this extreme age group.

Cohort differences in disease and disability in the young-old: findings from the MRC Cognitive Function and Ageing Study (MRC-CFAS)

Background

Projections of health and social care need are highly sensitive to assumptions about cohort trends in health and disability. We use a repeated population-based cross-sectional study from the Cambridgeshire centre of the UK Medical Research Council Cognitive Function and Ageing Study to investigate trends in the health of the young-old UK population

Methods

Non-overlapping cohorts of men and women aged 65–69 years in 1991/2 (n = 689) and 1996/7 (n = 687) were compared on: self-reported diseases and conditions; self-rated health; mobility limitation; disability by logistic regression and four-year survival by Cox Proportional Hazards Regression models, with adjustments for differences in socio-economic and lifestyle factors.

Results

Survival was similar between cohorts (HR: 0.91, 95% CI: 0.62 to 1.32). There was a significant increase in the number of conditions reported between cohorts, with more participants reporting 3 or more conditions in the new cohort (14.2% vs. 10.1%). When individual conditions were considered, there was a 10% increase in the reporting of arthritis and a significant increase in the reporting of chronic airways obstruction (OR: 1.36, 95% CI: 1.04 to 1.78).

Conclusion

This study provides evidence of rising levels of ill-health, as measured by the prevalence of self-reported chronic conditions, in the newer cohorts of the young-old. Though changes in diagnosis or reporting of disease cannot, as yet, be excluded, to better understand whether our findings reflect real increases in ill-health, investment should be made into improved population-based databases, linking self-report and objective measures of health and function, and including those in long-term care.

The Health Trade-off of Rural Residence for Impaired Older Adults: Longer Life, More Impairment

CONTEXT

Years lived with and without physical impairment are central measures of public health.

PURPOSE

We sought to determine whether these measures differed between rural and urban residents who were impaired at the time of a baseline measurement. We examined 16 subgroups defined by rural/urban residence, gender, race, and education.

METHODS

This is a 20-year retrospective cohort study, following 2,939 Americans who were aged 65-69 in 1982 and physically impaired at the time of the baseline measurement, with data from the National Long-Term Care Survey. Interpolated Markov chain analysis and microsimulation estimated life expectancy at age 65 and expected number of years with physical impairment. Impairment was defined as requiring help in 1 or more activities of daily living.

FINDINGS

Among older individuals with physical impairments at baseline, rural residents lived notably longer than urban residents. In all but 1 group, rural residents lived more years with physical impairment, and they also had a notably larger proportion of remaining life impaired.

CONCLUSIONS

Results suggest a notable public health impact of rural residence for impaired individuals, a longer expected period of impairment. Needs for services for people with impairments may be greater in rural areas.