Body mass index and the risk of disability retirement: a systematic review and meta-analysis

The cost of obesity and related NCDs in Brazil: An analysis of hospital admissions, disability retirement benefits, and statutory sick pay

OBJECTIVES

This study analyses the prevalence of overweight/obesity in Brazil, and its costs regarding hospital admissions (HA), disability retirement benefits (DRB), and statutory sick pay (SSP) associated with obesity-related non-communicable diseases (NCDs).

STUDY DESIGN

Time-series study.

METHODS

This study analyses data from the VIGITEL system (2010-2019) to calculate the body-mass index (BMI) of adult residents in Brazil's state capitals. Data on HA, DRB, and SSP were obtained from Brazil's SIH/SUS and AEPS Infologo systems. Pearson's correlation and linear regression models were applied. The study selected 23 diseases of the International Classification of Disease (ICDs) belonging to chapters C; E; I; and K. Cost values in BRL were deflated using IPCA.

RESULTS

The results showed a significant increase in overweight and obesity rates in Brazil, with BMI rising by 0.09 kg/m2 annually. Regression analysis revealed that each 1-point increase in the average BMI of the population is associated with an increase of 81,772 (BRL 237.51 million/year) new HA per year, 5541 (BRL 18.8 million/year) new DRB granted per year, and 42,360 (BRL 131 million/year) new SSP per year. Also, every 1 % increase in the share of the Brazilian population with obesity is associated with an increase of 16,973 (BRL 48.8 million/year) new HA per year, 1202 (BRL 3.97 million/year) new DRB granted per year, and 8686 (BRL 26.8 million/year) new SSP per year. Regressions for deflated values showed lower significance, suggesting a strong impact of inflation on health costs in Brazil.

CONCLUSIONS

Obesity prevalence in Brazil implies high direct and indirect costs for the Brazilian government, especially considering circulatory system diseases.

Assessing the Fiscal Burden of Overweight and Obesity in Japan through Application of a Public Economic Framework

Introduction: Obesity continues to represent a significant public health concern, with a broad impact from both a health and economic perspective. Objective: This analysis assesses the fiscal consequences of overweight and obesity (OAO) in Japan by capturing obesity-attributable lost tax revenue and increased government transfers using a government perspective. Methods: The fiscal burden of OAO was estimated using an age-specific prevalence model, which tracked the Japanese population across different body mass index (BMI) categories. The model was populated with fiscal data for Japan, including employment activity and government spending, to calculate tax revenue and transfer costs. A targeted literature review was conducted to identify data estimating the impact of OAO on employment, income, sick leave, retirement, and mortality. These modifiers were applied to Japanese epidemiological and fiscal projections to calculate government tax revenue and spending. The incremental impact of reducing OAO in the general population was subsequently calculated. Results were estimated based on the 2023 Japanese working-age population aged 18 to 70 years. Results: The total fiscal burden of OAO in Japan, defined as BMI of at least 25, is estimated at US 13.41 b i l l i o n ( ¥ 1925 b i l l i o n ) , r e p r e s e n t i n g 0.4 6.3 billion (¥901 billion) and 1.2 b i l l i o n ( ¥ 179 b i l l i o n ) i n d i r e c t a n d i n d i r e c t t a x r e v e n u e , r e s p e c t i v e l y , d u e t o l o w e r e m p l o y m e n t a n d i n c o m e c o m b i n e d w i t h h i g h e r s i c k l e a v e . E x c e s s O A O - a t t r i b u t a b l e h e a l t h c a r e c o s t s w e r e 5.4 billion (¥769 billion), while additional pension payment spending of $0.5 billion (¥77 billion) was estimated, due to higher levels of early retirement. Conclusions: While the health implications of OAO are well documented, this fiscal analysis demonstrates the significant economic burden of OAO both to the healthcare system and broader government accounts. Policies aimed at reducing population-level obesity have the potential to benefit government accounts through increasing employment and reducing public spending, which can offset the cost of implementing these policies.

Level of and Changes in Perceived Work Ability Among Partial Disability Pensioners and the Risk of Full Disability Pension-A Register-Linked Cohort Study

PURPOSE

To examine how the level of perceived work ability and its changes over time are associated with the risk of full disability pension (DP) among those receiving partial DP.

METHODS

We retrieved survey data on perceived work ability and covariates (sociodemographic factors and health behaviors) from a cohort study of Finnish public sector employees at two time points: 2008 and 2012 and linked them with register data on DP obtained from the Finnish Centre for Pensions up to the end of 2018. Participants had begun receiving partial DP in 2008 and responded to either the 2008 survey (n = 159) or both surveys (n = 80). We used Cox regression for the analyses.

RESULTS

During the follow-up, 61 (38%) of those receiving partial DP transitioned to full DP. Those with perceived poor work ability were at a higher risk of full DP (HR 1.93; 95% CI 1.11-3.38) than those with at least moderate work ability, after adjustment for covariates. During four years of receiving partial DP, perceived work ability decreased among 36% of the participants, and remained unchanged or improved among 64%. Change in work ability was not associated with a risk of full DP.

CONCLUSION

Among those receiving partial DP, perceived poor work ability was a risk factor for full DP. Our findings highlight the importance of monitoring the level of perceived work ability of those receiving partial DP to enable identifying individuals at an increased risk of full DP.

Number of children and disability pension due to mental and musculoskeletal disorders: A longitudinal register-based study in Norway

Earlier research has documented a relationship between parity and all-cause mortality, as well as parity and cause-specific mortality (e.g. cancer and cardiovascular disease mortality). Less is known about the relationship between parity and two very common (but less deadly) types of disorder: mental and musculoskeletal. We examine the association between parity and risk of disability pensioning from all causes and due to mental or musculoskeletal disorders, using Norwegian register data. In addition to controlling for adult socio-demographic characteristics, we control for unobserved confounding from family background by estimating sibling fixed-effects models. We find a higher risk of disability pensioning among the childless and those with one child than for parents with two children, both for all causes combined and for mental disorders. Childless men and fathers with one child also experience excess risk of being pensioned due to musculoskeletal disorders. For mental disorders, we find a positive association with high parity, particularly for men.

Can a Healthy Lifestyle Prevent Disability Pension among Female Healthcare Workers with Good and Poor Self-Rated Health? Prospective Cohort Study with 11-Year Register Follow-Up

BACKGROUND

Our purpose was to investigate whether healthy lifestyle habits prevent disability pension among female healthcare workers.

METHODS

We conducted a prospective cohort study with an 11-year register follow-up in which 8159 female healthcare workers from Denmark completed a questionnaire concerning self-rated health, work environment, leisure-time physical activity (LTPA), smoking, and body mass index (BMI). Data on disability benefit payments were obtained from the Danish Register for Evaluation of Marginalization during an 11-year follow-up. Potential confounders included age, occupational education, psychosocial work factors, and physical exertion during work.

RESULTS

Among workers in good health at baseline, smoking, obesity, and low levels of LTPA were risk factors for disability pension during 11-year follow-up. Among workers with poor health, only low levels of physical activity were a risk factor for disability pension.

CONCLUSIONS

This underscores the importance of a healthy lifestyle, specially being physically active, for preventing premature exit from the labor market in female healthcare workers.

Development and validation of a prediction model for unemployment and work disability among 55 950 Dutch workers

Background

This study developed prediction models for involuntary exit from paid employment through unemployment and disability benefits and examined if predictors and discriminative ability of these models differ between five common chronic diseases.

Methods

Data from workers in the Lifelines Cohort Study (n = 55 950) were enriched with monthly information on employment status from Statistics Netherlands. Potential predictors included sociodemographic factors, chronic diseases, unhealthy behaviours and working conditions. Data were analyzed using cause-specific Cox regression analyses. Models were evaluated with the C-index and the positive and negative predictive values (PPV and NPV, respectively). The developed models were externally validated using data from the Study on Transitions in Employment, Ability and Motivation.

Results

Being female, low education, depression, smoking, obesity, low development possibilities and low social support were predictors of unemployment and disability. Low meaning of work and low physical activity increased the risk for unemployment, while all chronic diseases increased the risk of disability benefits. The discriminative ability of the models of the development and validation cohort were low for unemployment (c = 0.62; c = 0.60) and disability benefits (c = 0.68; c = 0.75). After stratification for specific chronic diseases, the discriminative ability of models predicting disability benefits improved for cardiovascular disease (c = 0.81), chronic obstructive pulmonary disease (c = 0.74) and diabetes mellitus type 2 (c = 0.74). The PPV was low while the NPV was high for all models.

Conclusion

Taking workers’ particular disease into account may contribute to an improved prediction of disability benefits, yet risk factors are better examined at the population level rather than at the individual level.

Impact Of Obesity On Cardiac Structural And Functional Changes

The urgency of obesity issue is undeniable. Obesity is now considered the most important risk factor of cardiovascular diseases. Numerous studies have demonstrated the negative effect of excessive adipose tissue on structural and functional changes in the heart that lead to development of left ventricular hypertrophy, arrhythmias and conduction abnormalities, as well as progression of diastolic and systolic heart failure. High prevalence of obesity – so high that it can be called a pandemic – greatly contributes to the increased incidence of cardiovascular diseases. Studying the problem of obesity is a priority area of focus for modern medicine. This article describes hormonal, metabolic and hemodynamic features of obesity impact on cardiovascular system and describes pathogenetic mechanisms of cardiovascular pathology development.

Aberrant DNA Methylation Mediates the Transgenerational Risk of Metabolic and Chronic Disease Due to Maternal Obesity and Overnutrition

Maternal obesity is a rapidly evolving universal epidemic leading to acute and long-term medical and obstetric health issues, including increased maternal risks of gestational diabetes, hypertension and pre-eclampsia, and the future risks for offspring's predisposition to metabolic diseases. Epigenetic modification, in particular DNA methylation, represents a mechanism whereby environmental effects impact on the phenotypic expression of human disease. Maternal obesity or overnutrition contributes to the alterations in DNA methylation during early life which, through fetal programming, can predispose the offspring to many metabolic and chronic diseases, such as non-alcoholic fatty liver disease, obesity, diabetes, and chronic kidney disease. This review aims to summarize findings from human and animal studies, which support the role of maternal obesity in fetal programing and the potential benefit of altering DNA methylation to limit maternal obesity related disease in the offspring.

Body weight and premature retirement: population-based evidence from Finland

BACKGROUND

Health status is a principal determinant of labour market participation. In this study, we examined whether excess weight is associated with withdrawal from the labour market owing to premature retirement.

METHODS

The analyses were based on nationally representative data from Finland over the period 2001-15 (N ∼ 2500). The longitudinal data included objective measures of body weight (i.e. body mass index and waist circumference) linked to register-based information on actual retirement age. The association between the body weight measures and premature retirement was modelled using cubic b-splines via logistic regression. The models accounted for other possible risk factors and potential confounders, such as smoking and education.

RESULTS

Excess weight was associated with an increased risk of premature retirement for both men and women. A closer examination revealed that the probability of retirement varied across the weight distribution and the results differed between sexes and weight measures.

CONCLUSION

Body weight outside a recommended range elevates the risk of premature retirement.

Indicators and determinants of the years of working life lost: a narrative review

Objective:

This narrative review summarizes the available indicators for working life expectancy and years of working life lost (YWLL) and their determinants.

Methods:

We searched PubMed and Embase databases from their inception until August 2020 and screened all studies proposing an indicator for working life expectancy or YWLL. We also reviewed studies focusing on sociodemographic, lifestyle and work-related determinants of working life expectancy and YWLL. The results were synthesized narratively.

Results:

We identified 13 different indicators for the length of working life or YWLL. The most frequently used indicators were ‘working life expectancy’, ‘healthy working life expectancy’, and YWLL. Working life expectancy and healthy working life expectancy are longer for men than women. Working life expectancy at the age of 50 has been increasing since the mid-90s, and the increase has been larger for women, reducing the sex difference. Working life is shorter for people with a low level of education, in lower occupational classes, for people exposed to high physical work demands, those living in the most socioeconomically deprived areas, people with overweight or obesity, smokers, people who are inactive during leisure time and in people with a chronic health problem.

Conclusions:

Despite increasing interest in understanding the determinants of YWLL, only a few studies have simultaneously considered multiple exit routes from the labour market. We propose a new measure for total YWLL considering all relevant exit routes from employment. This comprehensive measure can be used to assess the effect of given policy changes on prolonging working life.

Prevalence of work related musculoskeletal disorders in Italian workers: is there an underestimation of the related occupational risk factors?

Background

Work-related musculoskeletal disorders (WMSDs) represent an important socio-economic burden. The current risk assessment and management involved in the ethiopathogenesis of WMSDs is based on observational tools and checklists, which have some limitations in terms of accuracy and reliability. The aim of this study was to assess WMSD prevalence and identify possible correlations with several socio-demographic and work-related variables in a large cohort representative of Italian workers in order to improve our understanding of the WMSD phenomenon.

Methods

This study includes data from INSuLa, a cross-sectional nationally representative survey of health and safety at work, developed by the Italian Workers’ Compensation Authority. A total of 8000 Italian workers were included. Multivariate logistic regression analyses were performed to evaluate the association of independent variables, such as workers’ perceptions of exposure to biomechanical/ergonomic and video display unit (VDU) risks (Risk Perceived) and the actual risk exposure (Risk Detected) on Back, Lower and Upper limb pain. Socio-demographic, occupational and other health-related variables were included to investigate possible association with musculoskeletal disorders.

Results

Workers perceiving a significant exposure to biomechanical/ergonomic and VDU risks but not included in a health surveillance program for them (Risk Perceived/No Risk Detected) have had significantly higher odds of reporting musculoskeletal disorders. Regarding the biomechanical/ergonomic risk these workers are in the 19–24 age range (39.9%), transportation, warehousing/information and communication sectors (38.9%) and are employed in companies with more than 250 workers (35.8%). Regarding VDU risk, workers are in the 45–54 age range (24.5%), professional, financial and business services (38.0%) and come from companies with more than 250 employees (25.6%).

Conclusions

Within the occupational safety and health management systems an appropriate assessment of occupational risk factors correlated to musculoskeletal disorders (mainly biomechanical/ergonomic and VDU) and the correct definition of their exposure levels is essential to adequately prevent the onset of WMSDs. In this regard, our findings provide useful information to design novel approaches, aimed at improving our understanding of emerging risks, identifying gaps in current risk assessment strategies and enhancing workplace interventions are mandatory to improve the occupational risk assessment and management process and therefore implement the subsequent health surveillance systems.

Disability assessment in an Italian cohort of patients with obesity using an International Classification of Functioning, Disability and Health (ICF)-derived questionnaire

BACKGROUND

Obesity is a clinical condition that contributes to the development of related disability in different areas (physical, psychological and social). Multidisciplinary treatment calls for specific instruments able to evaluate all related functional problems. We have developed a tool (an ICF-based assessment instrument, the ICF-OB schedule) to evaluate obesity-related disability, composed of an inventory of 71-items from the WHO International Classification of Functioning, Disability and Health (ICF).

AIM

The aim of the present study was to validate this new tool for the definition of obesity-related disability. We also sought to examine the relationship between obesity disability, an index of multimorbidity (Cumulative Illness Rating Scale [CIRS]) and a well-validated score of perceived obesity-related disability (Italian Obesity Society Test for Obesity-Related Disability [TSD-OC]).

DESIGN

Process validation of the ICF-OB schedule.

SETTING

Baseline conditions of out- and in-patients.

POPULATION

A large cohort of obese patients recruited from 9 multidisciplinary centers belonging to the Italian Obesity Society (SIO) network, which provide specialized obesity care.

METHODS

A total of 353 patients (F: 70%, age: 50.2±12.7yrs, BMI: 41.4±8.3kg/m²) were enrolled between January 2017 and June 2018. The ICF-OB was used to define patients' functioning and disability profiles in order to set and appraise rehabilitation goals.

RESULTS

We described the distribution of body functions (BF), body structures (BS) and activities and participations (A&P) categories and the agreement rates were significant for the majority of these. The ICF-OB was more often significantly associated, and with stronger coefficients, with patients' comorbidities as described by the CIRS rather than with Body Mass Index (BMI). The TSD-OC also presented a strong association with A&P indexes.

CONCLUSIONS

The complexity of clinical condition, that generates disability in obesity might be well identified with the use of this new instrument that appear significant related to the perceived disability for each patients and also with their multimorbidity.

CLINICAL REHABILITATION IMPACT

The ICF-OB shows great promise as a tool for goal setting in the rehabilitation of obese patients.

Work participation and physicality of work in young adulthood and the development of unhealthy lifestyle habits and obesity later in life: a prospective cohort study

OBJECTIVE

To determine the effects of early entry into the labour market and physicality of work in young adulthood on the development of obesity and unhealthy lifestyle habits later in life.

METHODS

This study is a part of the Young Finns Study. Entry into the labour market and physicality of work were measured at baseline, when participants were aged 18, 21, or 24 years in 1986 or 18 years in 1989. Follow-up of lifestyle habits were conducted in 2001, 2007 and 2011. The outcomes were obesity (n=5558 observations), abdominal obesity (n=4060 observations), daily smoking (n=5628) and leisure time physical activity (n=5946) and analysed with generalised estimating equation.

RESULTS

Compared with sedentary work, physicality of work in young adulthood increased the odds of future obesity (adjusted OR=1.32, 95% CI 1.01 to 1.74 for light/moderate work and OR=1.44, 95% CI 0.99 to 2.08 for heavy manual work (particularly in women OR=2.03, 95% CI 1.07 to 3.84)) and future smoking (OR=1.79, 95% CI 1.39 to 2.30 for light/moderate work and OR=2.01, 95% CI 1.47 to 2.76 for heavy manual work (particularly in women OR=2.81, 95% CI 1.60 to 4.91)). For those who entered the labour market at ages 18-21 or younger, the odds of smoking was 1.85 times (95% CI 1.26 to 2.73) and that of obesity 1.45 times (95% CI 1.01 to 2.10) higher, and the rate of leisure time physical activity was 0.73 times (95% CI 0.58 to 0.93) lower compared with those who entered the labour market at ages 22-24 years.

CONCLUSION

Early entry into the labour market and physicality of work in young adulthood shape the development of obesity and unhealthy behaviours in later adulthood.

The influence of unhealthy behaviours on early exit from paid employment among workers with a chronic disease: A prospective study using the Lifelines cohort

OBJECTIVES

This study examined the risk of unhealthy behaviours and the additive effects of multiple unhealthy behaviours on exit from paid employment among workers with a chronic disease and investigated effect modification by gender and educational level.

METHODS

Data from the Lifelines cohort, collected between 2006 and 2013, were enriched with registry data from Statistics Netherlands with up to 11 years follow-up. Workers with a chronic disease were selected (n = 11,467). The influence of unhealthy behaviours (physical inactivity, smoking, unhealthy diet, high alcohol intake, and obesity) on exit from paid employment (unemployment, disability benefits, early retirement, and economic inactivity) was examined using competing risk models. To examine effect modification by gender and educational level, interaction terms were added.

RESULTS

Smoking and low fruit intake increased the risk to exit paid employment through unemployment and disability benefits. Low vegetable intake increased the risk of unemployment, obesity the risk of receiving disability benefits, and high alcohol intake the risk of early retirement. Physical inactivity was not associated with any exit from paid employment. Having multiple unhealthy behaviours increased the risk of both unemployment and of receiving disability. No consistent effect modification for gender or educational level was found.

CONCLUSIONS

Unhealthy behaviours increased the risk to exit paid employment through unemployment and disability benefits among workers with a chronic disease, and this risk increased when having multiple unhealthy behaviours. Health promotion to support workers with chronic diseases to make healthier choices may help to extend their working life.

Occupational Lead Exposure and Brain Tumors: Systematic Review and Meta-Analysis

(1) Background: Due to inconsistencies in epidemiological findings, there has been uncertainty regarding the association of lead compounds with brain tumors. We performed a meta-analysis of published case-control and cohort studies exploring lead compound exposure and brain tumor risk. (2) Methods: We searched PubMed, Embase^®, and Cochrane to find eligible studies. Eighteen studies were selected for assessment of occupational exposure to lead compound and brain tumor. Pooled estimates of odds ratios (ORs) were obtained using random effects models. We assessed the differences through subgroup analysis according to tumor type, study design, measurements of exposure, and tumor outcome. Statistical tests for publication bias, heterogeneity, and sensitivity analysis were applied. (3) Results: Our systematic review and meta-analysis showed a not significant association with lead exposure and risk of benign and malignant brain tumors (pooled OR = 1.11, 95% Confidence Interval (CI): 0.95–1.29). Including only malignant brain tumors, the risk of brain tumor was significantly increased (pooled OR = 1.13, 95% CI: 1.04–1.24). (4) Conclusions: This meta-analysis provides suggestive evidence for an association between lead compound exposure and brain tumor. In future studies, it will be necessary to identify the effect of lead compounds according to the types of brain tumor.

Body Mass Index (BMI) and Work Ability in Older Workers: Results from the Health and Employment after Fifty (HEAF) Prospective Cohort Study

This study explores associations between BMI and prolonged sickness absence; cutting down at work; and health-related job loss (HRJL) over two years of follow-up among workers aged ≥50 years. A cohort of 2299 men and 2425 women (aged 50–64 years) self-reported height and weight at baseline and provided information about work ability at 12 and 24 months for the Health and Employment after Fifty (HEAF) Study. Associations between BMI and work ability were assessed by logistic regression and HRJL by multiple-record Cox’s proportional hazards models, with adjustment for other risk factors. The prevalence of obesity/severe obesity was 22.6%/1.2% amongst men and 21.4%/2.6% amongst women, respectively. In men and women, obesity and severe obesity predicted having to cut down at work for health over two years. In women, severe obesity predicted prolonged sickness absence, and also HRJL even after adjustment for age, proximity to retirement, financial difficulties, and lifestyle factors (hazard ratio [HR] 2.93, 95% CI 1.38, 6.23), and additional adjustment for health conditions (HR 2.52, 95% CI 1.12, 5.67). Obesity, and particularly severe obesity, negatively impacts work ability amongst people aged 50–64 years, with greatest effects in women. Obesity can be expected to hinder attempts to encourage work to older ages.