Stability and change of body mass index as a predictor of disability pension

Design of Key Technologies for Elderly Public Network Services Based on Intelligent Recommendations

As the world's population continues to increase, the proportion of elderly people is also rising. The existing elderly public service system is no longer able to meet the needs of the elderly for their daily lives. The elderly population is significantly less receptive to emerging matters than the younger population, resulting in the public elderly service system not being able to access the initial data of elderly users in a timely manner, which causes the system to make incorrect recommendations. Therefore, the elderly cannot enjoy all kinds of online services provided by the Internet platform. In order to solve this problem, an elderly intelligent recommendation method based on hybrid collaborative filtering is proposed. First, the data of elderly users and elderly service items are scored, and modelling is completed by a collaborative filtering algorithm. Then, the XGBoost model is combined to solve the optimal objective function, so that the recommended data set with the highest score in the nearest neighbour set is obtained. The experimental results show that the proposed hybrid algorithm effectively solves the cold start phenomenon that occurs when the elderly population uses the web to make recommendations for elderly services. In addition, the proposed hybrid algorithm has a higher recommendation footprint accuracy than other recommendation algorithms.

The role of familial confounding in the associations of physical activity, smoking and alcohol consumption with early exit from the labour market

We investigated the associations between health behaviors and sustainable working life outcomes including all-cause disability pension, disability pensions due to musculoskeletal and mental diagnoses and unemployment. The role of familial factors behind these associations was studied by analysing discordant twin pairs. Our data included Swedish twins born in 1925-1986 (51891 twin individuals). Baseline data based on two independent surveys in 1998-2003 and 2005-2006 for health behaviors were linked to national registers on disability pension and unemployment until 2016. Cox proportional hazards models for hazard ratios (HR) with 95% confidence intervals (CI) were estimated for the whole sample adjusting for covariates. Analyses of health behavior discordant twin pairs (n = 5903 pairs) were conducted using conditional Cox models. In the whole cohort, the combination of healthy behaviors was associated with lower risk for all-cause disability pension, disability pension due to musculoskeletal diagnoses or mental diagnoses, and for unemployment (HRs 0.56-0.86, 95% CIs 0.51-0.92) as did being physically active (HRs 0.69-0.87, 95% CI 0.65-0.92). The discordant pair analyses confirmed the lower risk among those having healthy behaviors (HR 0.70-0.86) or being physically active (HR 0.86-0.87) for all-cause disability pension, disability pension due to musculoskeletal diagnoses, and for unemployment. To conclude, controlling the effects of covariates or familial confounding (i.e. discordant twin pair analyses) shows that being physically active or having several healthy behaviors predict better working life outcomes. This points towards independent association between healthy behavior and longer working life.

Number of Pain Locations as a Predictor of Cause-Specific Disability Pension in Sweden-Do Common Mental Disorders Play a Role?

OBJECTIVE

The aim of this study was to investigate the associations between number of pain locations, common mental disorders (CMDs), and disability pension (DP).

METHODS

Survey data in 1998 to 2003 for 27,165 Swedish twins born in 1935 to 1958 were linked to national DP data until 2013. Pain locations were evaluated for back, low back, sciatica, shoulder, or neck pain, and CMDs for lifetime major depression and 1-month anxiety.

RESULTS

The number of pain locations was associated with DP in a dose-response manner. One pain location had a hazard ratio of 1.50 (95% confidence interval 1.35 to 1.68) and five pain locations hazard ratio 4.67 (95% confidence interval 4.11 to 5.30) for DP. Also, CMDs were associated with DP.

CONCLUSION

The number of pain locations has a dose-response association with the risk of DP. CMDs predict DP. In strategies to prevent DP, early signs of pain or CMDs should be taken into consideration.

Does lung function predict the risk of disability pension? An 11-year register-based follow-up study

Background

Spirometry is widely used in medical surveillance in occupational health and as a diagnostic test for obstructive and restrictive lung disease. We evaluated the effect of spirometry parameters on the risk of all-cause disability pension in a follow-up study of an occupationally active general population-based cohort.

Methods

We measured the pulmonary function of 3386 currently working participants of the Health 2000 Survey in the clinical phase at baseline using spirometry. We obtained the retirement events of the cohort from the nationwide register for 2000–2011. Cox proportional hazards models were used to determine disability pensions.

Results

At baseline, we identified 111 (3.3%) participants with obstructive spirometry, 95 (2.8%) with restrictive spirometry, and 3180 controls without restriction or obstruction. The age, sex, educational level, body-mass index, co-morbidities (1 or ≥ 2), and the smoking-adjusted hazard ratio of disability pension was 1.07 (95% confidence interval, CI 0.64–1.78) for those with obstructive spirometry, and 1.44 (95% CI 0.89–2.32) for those with restrictive spirometry. As continuous variables, and divided into quartiles, the risk of the lowest quartile of forced ventilation capacity (FVC)% of predicted was 1.49 (95%CI 1.10–2.01) and forced expiratory volume in one second (FEV₁)% of predicted 1.66 (95%CI: 1.23–2.24) in comparison to the highest quartile in the adjusted models.

Conclusions

Obstructive or restrictive spirometry did not predict disability pension when dichotomized classified variables (normal compared to abnormal) were used. As continuous variables and when divided into quartiles, lower lung volumes showed an increase in the risk of disability pension. Physicians should take this into account when they use spirometry as a prognostic factor of work disability.

Life events as predictors for disability pension due to musculoskeletal diagnoses: a cohort study of Finnish twins

Purpose

Musculoskeletal diagnoses (MSD) are one of the largest diagnostic groups for disability pensions (DP). This study investigated the associations between life events and DP due to MSD, considering sociodemographic, health, and familial factors.

Methods

The study sample included 18,530 Finnish twins, 24–64 years old at baseline, who responded to a questionnaire in 1981 including a 21-item life event inventory. Information on DP with diagnosis codes (ICD codes: M00–M99) were obtained from the official national pension registers. Life events were divided into family- and work-related events. “Positive change in life” was analyzed separately. Cox proportional hazards models were used to calculate hazard ratios (HR) with 95% confidence intervals (CI).

Results

During the follow-up of 23 years, 1273 (7%) individuals were granted DP due to MSD. In discordant pair analysis, family-related events (≥ 4 events) increased (HR 1.63, 95% CI 1.31, 2.03) and the absence of such events decreased (HR 0.68, 95% CI 0.48, 0.95) the risk of DP due to MSD. For work-related events (≥ 3 events), the risk estimates were non-significant when controlling for familial factors. Having had a positive change in life decreased the risk of DP due to MSD (HR 0.79, 95% CI 0.65, 0.96) while controlling for familial confounding, but were non-significant in the full model controlling for various covariates (HR 0.91, 95% CI 0.75, 1.12).

Conclusions

The associations between life events and the risk of DP due to MSD are complex and potentially affected by familial and other confounding factors including sociodemographics and health.

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

The aim of this study was to determine the associations of body mass index (BMI) with all-cause and cause-specific disability retirement. Literature searches were conducted in PubMed, Embase and Web of Science from their inception to May 2019. A total of 27 (25 prospective cohort and 2 nested case-control) studies consisting of 2 199 632 individuals qualified for a meta-analysis. Two reviewers independently assessed the methodological quality of the included studies. We used a random effects meta-analysis, assessed heterogeneity and publication bias, and performed sensitivity analyses. There were a large number of participants and the majority of studies were rated at low or moderate risk of bias. There was a J-shaped relationship between BMI and disability retirement. Underweight (hazard ratio (HR)/risk ratio (RR)=1.20, 95% CI 1.02 to 1.41), overweight (HR/RR=1.13, 95% CI 1.07 to 1.19) and obese individuals (HR/RR=1.52, 95% CI 1.36 to 1.71) were more commonly granted all-cause disability retirement than normal-weight individuals. Moreover, overweight increased the risk of disability retirement due to musculoskeletal disorders (HR/RR=1.26, 95% CI 1.15 to 1.39) and cardiovascular diseases (HR=1.73, 95% CI 1.24 to 2.41), and obesity increased the risk of disability retirement due to musculoskeletal disorders (HR/RR=1.66, 95% CI 1.42 to 1.94), mental disorders (HR=1.29, 95% CI 1.04 to 1.61) and cardiovascular diseases (HR=2.80, 95% CI 1.85 to 4.24). The association between excess body mass and all-cause disability retirement did not differ between men and women and was independent of selection bias, performance bias, confounding and adjustment for publication bias. Obesity markedly increases the risk of disability retirement due to musculoskeletal disorders, cardiovascular diseases and mental disorders. Since the prevalence of obesity is increasing globally, disease burden associated with excess body mass and disability retirement consequently are projected to increase. Reviewregistrationnumber: CRD42018103110.

Estimating the impact of obesity and metabolic phenotype on sickness absence. Results from the ICARIA study

BACKGROUND AND AIMS

To assess the impact of obesity and being overweight on sickness absence (SA) as a function of healthy/unhealthy metabolic phenotype.

METHODS AND RESULTS

A total of 173 120 healthy workers who underwent a routine check-up, consisting of a structured interview, anthropometric measurements and blood pressure and fasting blood analysis, were included as the study sample (67.1% males; 49.2% manual workers; mean age 40.6 ± 21.9 years). Workers were classified according to their body mass index (BMI) and metabolic phenotype. A metabolically unhealthy phenotype was defined as the presence of three or more of the following criteria: glycaemia ≥110 mg/dL or previously diagnosed type I/II diabetes or treatment for diabetes; triglycerides ≥150 mg/dL or lipid-lowering therapy; HDL <40/50 mg/dL M/F; blood pressure ≥130/85 mmHg or previously diagnosed hypertension or antihypertensive therapy; waist circumference >102/88 cm M/F. A one-year follow-up was conducted to evaluate the incidence of work-related and non-work-related SA (WRSA/NWRSA). The association of BMI with SA was tested using Poisson regression (standard error correction), segmenting on the basis of metabolic phenotype. The overall percentages of workers who were overweight, obese and/or had a metabolically unhealthy phenotype were 37.7%, 16.3% and 8.8%, respectively. BMI was associated with increased incidence of NWRSA in both phenotypes. It was also associated with WRSA in subjects with a BMI in the range of 35-39.99 kg/m² and in metabolically healthy individuals. WRSA was lower in subjects with a BMI ≥40 kg/m² and among metabolically unhealthy individuals.

CONCLUSION

Obesity is associated with health problems that have a significant impact on SA.

Joint Association of Overweight and Common Mental Disorders With Diagnosis-Specific Disability Retirement: A Follow-Up Study Among Female and Male Employees

OBJECTIVE

We examined the joint association of overweight and CMDs (common mental disorders) with diagnosis-specific disability retirement among midlife employees.

METHODS

Baseline surveys (n = 8960, response rate 67%) were linked with registers of the Finnish Centre of Pensions. We calculated the hazard ratios (HRs) for disability retirement due to any, musculoskeletal, and mental diagnoses according to the International Classification of Diseases (ICD-10) with Cox regression analysis (mean follow-up 8.3 years) among normal-weight (body mass index 18.5 to 25 kg/m) and overweight (≥25 kg/m) participants with or without CMD (General Health Questionnaire-12 score ≥3).

RESULTS

Overweight was associated with disability retirement due to any and musculoskeletal diagnoses and CMD with any and mental diagnoses. The risk for disability retirement was additively higher for those with both overweight and CMD.

CONCLUSION

Preventing overweight and CMD, and especially considering those with both conditions simultaneously, likely helps maintain work ability.

Muscular weakness in adolescence is associated with disability 30 years later: a population-based cohort study of 1.2 million men

Objective

To investigate the associations of muscular strength in adolescence with later disability pension (DP), across different body mass index (BMI) categories and in combination with aerobic fitness.

Method

This prospective cohort study consisted of males aged 16–19 years, recruited from the Swedish military conscription register between 1969 and 1994. A total of 1 212 503 adolescents met all the inclusion criteria and were therefore included in the analyses. Knee extension, handgrip and elbow flexion strength and aerobic fitness (bicycle ergometer test) were measured during conscription. Causes of DP were retrieved from the Social Insurance Office between years 1971 and 2012 (average follow-up time: 29.6 years).

Results

Knee extension strength in adolescence was inversely associated with men’s risk of obtaining DP due to all causes (HR 1.40, 95% CI 1.36 to 1.44 for lowest vs highest strength quintile). Thus, muscular weakness was associated with DP. The risk associated with low muscular strength differed between specific causes of DP and the strongest associations were found for psychiatric, nervous system and other causes (HRs between 1.47 and 1.90 for lowest vs highest quintile). Being strong was associated with lower DP risk across BMI categories and being unfit, weak and obese was associated with the highest DP risk (HR 3.70, 95% CI 2.99 to 4.58).

Conclusion

There was a strong association between muscular weakness and disability. A combination of muscular weakness and low aerobic fitness was an especially important risk factor for disability. This adds weight to call for muscular strength and fitness enhancing exercise for adolescents in all BMI categories.

The Impact of Obesity in the Workplace: a Review of Contributing Factors, Consequences and Potential Solutions

This narrative review summarized findings from previous reviews and the most recently published studies, regarding the following: (1) the association between two occupational risk factors-shift work and sedentary work-and obesity, (2) the effects of obesity on workplace productivity and (3) the effectiveness of workplace interventions aimed at preventing or reducing obesity. Despite some inconsistencies in findings, there is convincing evidence that shift work increases the risk of obesity, while most studies did not show a significant association between sedentary work and obesity. Overweight and obesity were found to be associated with absenteeism, disability pension and overall work impairment, whilst evidence of their relationship with presenteeism, unemployment and early retirement was not consistent. Due to the vast heterogeneity in the types of workplace-based interventions to prevent or treat obesity, no sound conclusions can as yet be drawn about their overall effectiveness and best practice recommendations for their implementation.