Theoretical explanations for socioeconomic inequalities in multimorbidity: a scoping review

Educational gradients in the quality of mortality data: a nationwide, registry-based study on heart failure listed incorrectly as underlying cause of death in Norway

AIM

In the context of mortality, heart failure (HF) represents an intermediate factor and should not be used to describe underlying cause of death (UCoD). We explored the potential educational gradients in use of HF to describe UCoD using national data spanning more than 30 years from Norway.

METHODS

Using a cross-sectional design, we linked data from the Cause of Death Registry and the National Education Database. Logistic regression models were used to analyze the association between highest attained education and the odds of HF being listed as the UCoD: odds ratios (ORs) and corresponding 95% confidence intervals (CIs) are reported.

RESULTS

HF was listed as UCoD in 46,331 (3.7%) of 1,254,249 deaths analyzed. Compared to primary education, secondary and tertiary education were associated with 10% (OR = 0.90, 95% CI: 0.88-0.92) and 17% (OR = 0.83, 95% CI: 0.80-0.86) lower odds of HF incorrectly listed as UCoD, respectively. We observed no significant differences for the association between education and study outcomes between men and women and across place of death categories. However, educational gradients were greater among younger compared to older individuals (pinteraction, = 0.002). Similar educational gradients were observed in the analyses restricted to cardiovascular deaths (OR = 0.93; 95% CI: 0.91-0.94 for secondary vs. primary education, and OR = 0.91; 95% CI: 0.88-0.95 for tertiary vs. primary education).

CONCLUSIONS

Education was inversely associated with the use of HF to incorrectly describe UCoD. Addressing the observed educational gradients, would improve the quality of mortality data and allow for less biased descriptions of cause-specific mortality.

Younger but sicker? Cohort trends in disease accumulation among middle-aged and older adults in Scotland using health-linked data from the Scottish Longitudinal Study

BACKGROUND

In the United Kingdom, rising prevalence of multimorbidity-the co-occurrence of two or more chronic conditions- is coinciding with stagnation in life expectancy. We investigate patterns of disease accumulation and how they vary by birth cohort, social and environmental inequalities in Scotland, a country which has long suffered from excess mortality and poorer health outcomes relative to its neighbours.

METHODS

Using a dataset which links census data from 1991, 2001 and 2011 to disease registers and hospitalization data, we follow cohorts of adults aged 30-69 years for 18 years. We model physical and mental disease accumulation using linear mixed-effects models.

RESULTS

Recent cohorts experience higher levels of chronic disease accumulation compared to their predecessors at the same ages. Moreover, in more recently born cohorts we observe socioeconomic status disparities emerging earlier in the life course, which widen over time and with every successive cohort. Patterns of chronic conditions are also changing, and the most common diseases suffered by later born cohorts are cancer, hypertension, asthma, drug and alcohol problems and depression.

CONCLUSION

We recommend policies which target prevention of chronic disease in working age adults, considering how and why certain conditions are becoming more prevalent across time and space.

Living on low-incomes with multiple long-term health conditions: A new method to explore the complex interaction between finance and health

People on low-incomes in the UK develop multiple long-term health conditions over 10 years earlier than affluent individuals. Financial diaries -new to public health- are used to explore the lived experiences of financially-vulnerable individuals, diagnosed with at least one long-term condition, living in two inner-city London Boroughs. Findings show that the health status of these individuals is a key barrier to work opportunities, undermining their income. Their precarious and uncertain financial situation, sometimes combined with housing issues, increased stress and anxiety which, in turn, contributed to further deteriorate participants' health. Long-term health conditions limited the strategies to overcome moments of financial crisis and diarists frequently used credit to cope. Restrictions to access reliable services and timely support were connected to the progression of multiple long-term conditions. Models that integrate healthcare, public health, welfare and financial support are needed to slow down the progression from one to many long-term health conditions.

Social Disadvantage and Multimorbidity Including Oral Conditions in the United States

Existing studies on multimorbidity have largely excluded oral diseases in multimorbidity prevalence estimates. The reason behind this is somewhat unclear, as chronic oral conditions are highly prevalent, affecting over half the global population. To address this gap, we examined the relationship between social disadvantage and multimorbidity, stratifying by the inclusion and exclusion of oral conditions. For participants aged 30 y and over (n = 3,693), cross-sectional analysis was carried out using the US National Health and Nutrition Survey (2013-2014). Multimorbidity was defined as having 2 or more chronic conditions. Five medical conditions were examined: diabetes, asthma, arthritis, cardiovascular disease, and depression, as well as 4 oral health conditions: caries, periodontal disease, number of teeth, and edentulousness. Education and income poverty ratio were selected as measures of social disadvantage. Multimorbidity prevalence estimates according to social disadvantage were analyzed on an absolute and relative scale using inverse probability treatment weighting (IPTW), adjusting for age, sex, and ethnicity. The inclusion of oral health conditions in the assessment of multimorbidity increased the overall prevalence of multimorbidity from 20.8% to 53.4%. Findings from IPTW analysis demonstrated clear social gradients for multimorbidity estimates stratified by the exclusion of oral conditions. Upon inclusion of oral conditions, the prevalence of multimorbidity was higher across all social groups for both education and income. Stratifying by the inclusion of oral conditions, the mean probability of multimorbidity was 27% (95% confidence interval [CI], 23%-30%) higher in the low-education group compared to the high-education group. Similarly, the mean probability of multimorbidity was 44% (95% CI, 40%-48%) higher in the low-income group. On a relative scale, low education was associated with a 1.52 times (95% CI, 1.44-1.61) higher prevalence of multimorbidity compared to high education. Low income was associated with a 2.18 (95% CI, 1.99-2.39) higher prevalence of multimorbidity. This novel study strongly supports the impact of chronic oral conditions on multimorbidity prevalence estimates.

The role of lifestyle factors in the association between education and self-reported fibromyalgia: a mediation analysis

BACKGROUND

Socioeconomic status as measured by education, income, or occupation, has been associated with fibromyalgia but the underlying mechanism and the role of lifestyle factors are unclear. Thus, we examine the role of modifiable lifestyle factors (body mass index, physical activity, alcohol consumption and smoking) in the association between education and self-reported fibromyalgia.

METHODS

We used data from 74,157 participants in the population-based prospective Norwegian Women and Cancer (NOWAC) study. Socioeconomic position, operationalized as years of educational attainment, and lifestyle factors were assessed via self-reported questionnaires. Multiple mediation analysis was used to decompose total effects into direct and indirect effects. Estimates were reported as hazard ratios (HRs) with 95% confidence intervals (CIs).

RESULTS

The cumulative incidence of fibromyalgia was 3.2% after a median follow up time of 13 years. Fibromyalgia was inversely associated with years of educational attainment for ≤ 9 years (HR = 2.56; 95% CI 2.32-2.91) and for 10-12 years (HR = 1.84; 95% CI 1.72-2.02), compared with ≥ 13 years of education. Overall, all lifestyle factors together jointly mediated 17.3% (95% CI 14.3-21.6) and 14.1% (95% CI 11.3-18.9) of the total effect for ≤ 9 years and 10-12 years of education, respectively. Smoking and alcohol consumption contributed the most to the proportion mediated, for ≤ 9 years (5.0% and 7.0%) and 10-12 years (5.6% and 4.5%) of education.

CONCLUSION

The association between education and self-reported fibromyalgia was partly explained through lifestyle factors, mainly smoking and alcohol consumption.

Socioeconomic and Ethnic Inequalities in the Progress of Multimorbidity and the Role of Health Behaviors

OBJECTIVES

To assess socioeconomic and ethnic inequalities in the progress of multimorbidity and whether behavioral factors explain these inequalities among older Americans.

DESIGN

Health and Retirement Study, a longitudinal survey of older American adults.

SETTING AND PARTICIPANTS

Data pooled from 2006 to 2018 (waves 8-14), which include 38,061 participants.

METHODS

We used 7 waves of the survey from 2006 to 2018. Socioeconomic factors were indicated by education, total wealth, poverty-income ratio (income), and race/ethnicity. Multimorbidity was indicated by self-reported diagnoses of 5 chronic conditions: diabetes, heart conditions, lung diseases, cancer, and stroke. Behavioral factors were smoking, excessive alcohol consumption, physical activity, and body mass index (BMI). Multilevel mixed effects generalized linear models were constructed to assess socioeconomic and ethnic inequalities in the progress of multimorbidity and the role of behavior. All variables included in the analysis were time-varying except gender, race/ethnicity, and education.

RESULTS

African American individuals had higher rates of multimorbidity than White individuals; however, after adjusting for income and education, the association was reversed. There were clear income, wealth, and education gradients in the progress of multimorbidity. After adjusting for behavioral factors, the relationships were attenuated. The rate ratio (RR) of multimorbidity attenuated by 9% among participants with the lowest level of education after accounting for behavior (RR 1.21; 95% CI 1.18-1.23 and 1.11; 95% CI 1.17-1.14) in the models unadjusted and adjusted for behaviors, respectively. Similarly, RR for multimorbidity among those in the lowest wealth quartile attenuated from 1.47 (95% CI 1.44-1.51) and 1.31 (95% CI 1.26-1.36) after accounting for behaviors.

CONCLUSION AND IMPLICATIONS

Ethnic inequalities in the progress of multimorbidity were explained by wealth, income, and education. Behavioral factors partially attenuated socioeconomic inequalities in multimorbidity. The findings are useful in identifying the behaviors that should be included in health promotion programs aiming at tackling inequalities in multimorbidity.

Substantial increase in perceived benefits over harms of COVID-19 outbreak but persistent socioeconomic disparities: Comparison of two cross-sectional surveys in Hong Kong from 2020 to 2021

Background

We have reported both perceived benefits and harms of the COVID-19 outbreak and their socioeconomic disparities amid the pandemic in Hong Kong. We further investigated whether such perceptions and disparities had changed after 10 months.

Methods

Under the Hong Kong Jockey Club SMART Family-Link Project, we conducted two cross-sectional surveys online on perceived personal and family benefits and harms of the COVID-19 outbreak in Hong Kong adults in May 2020 (after Wave 2 was under control; N = 4,891) and in February and March 2021 (after Wave 4 was under control; N = 6,013). We collected sociodemographic information, including sex, age, education, household income, and housing. Using multivariate models of analysis of covariance (MANCOVA), we compared perceived benefits and harms and socioeconomic disparities between the two surveys.

Results

Adjusting for sex and age, the prevalence of 17 out of 18 perceived personal and family benefits of COVID-19 outbreak increased (Ps < 0.001). Six of 11 perceived personal and family harms decreased (Ps < 0.001) and 4 increased (Ps < 0.001). The total number of perceived personal and family benefits increased substantially (Ps < 0.001), whereas that of perceived personal harms decreased (P = 0.01) and family harms remained stable (P > 0.05). Socioeconomic disparities, however, persisted-more perceived benefits in those with higher socioeconomic status (Ps < 0.001) and more perceived harms in those with lower (Ps ≤ 0.005).

Conclusion

We have first reported that perceived personal and family benefits of the COVID-19 outbreak increased substantially over 10 months amid the pandemic, while perceived personal and family harms were lower and stable, respectively. Socioeconomic disparities of the perceived benefits and harms persisted, which need to be monitored and addressed urgently.