Newly diagnosed disease and job loss: a nationwide longitudinal study among middle-aged Japanese

2020 ◽  
pp. oemed-2020-106685
Author(s):  
Midori Takada ◽  
Takahiro Tabuchi ◽  
Hiroyasu Iso

ObjectivesSince previous studies have only used past or current medical history of disease, there is no information on newly diagnosed disease in relation to job loss. Our objective was therefore to investigate whether newly diagnosed chronic disease increased job loss among middle-aged Japanese.MethodsWe analysed data on 31 403 Japanese workers aged 50–59 years from a nationally representative longitudinal study. We defined two types of job loss; later job loss (within 1 year of disease diagnosis) and concurrent/later job loss (at around the time of diagnosis and within 1 year of diagnosis). Generalised estimating equation models were used to calculate ORs for job loss among current workers after a new-diagnosis of chronic disease (diabetes, hypertension, hyperlipidaemia, heart disease, stroke and cancer), using a discrete-time design and adjusting for demographic, socioeconomic and health behavioural factors. We used inverse probability weighting to account for non-response at follow-up.ResultsORs for concurrent/later job loss were 1.17 (95% CI 1.03–1.31) for diabetes, 1.01 (95% CI 0.93–1.09) for hypertension, 1.01 (95% CI 0.94–1.09) for hyperlipidaemia, 1.21 (95% CI 1.06–1.40) for heart disease, 1.48 (95% CI 1.21–1.81) for stroke and 1.38 (95% CI 1.17–1.62) for cancer diagnosed patients. The corresponding ORs for later job loss were 1.14 (95% CI 0.96–1.35), 1.00 (95% CI 0.90–1.12), 0.98 (95% CI 0.88–1.08), 1.24 (95% CI 1.02–1.49), 1.16 (95% CI 0.86–1.55) and 1.39 (95% CI 1.11–1.73).ConclusionsNew diagnosis of diabetes, heart disease, cancer and stroke increased the risk of job loss; loss was concurrent for diabetes mellitus and stroke, and concurrent/later for cancer and heart disease. Our results provide fundamental information for employment support for patients with chronic disease.

2021 ◽  
pp. 135910532199591
Author(s):  
Samuel Akyirem ◽  
Angus Forbes ◽  
Julie Lindberg Wad ◽  
Mette Due-Christensen

While the need for psychosocial interventions in the early formative period of chronic disease diagnosis is widely acknowledged, little is known about the currently available interventions and what they entail. This review sought to collate existing interventions to synthesize their active ingredients. A systematic search on five electronic databases yielded 2910 records, 12 of which were eligible for this review. Evidence synthesis revealed three broad categories of interventions which used at least two out of eight active techniques. Future studies should adhere to known frameworks for intervention development, and focus on developing core outcome measures to enhance evidence synthesis


2019 ◽  
Vol 10 ◽  
pp. 204201881986582 ◽  
Author(s):  
Batholomew Chireh ◽  
Carl D’Arcy

Objective: The objective of this study was to examine shared and unique risk factors for incident depression and diabetes mellitus in a national longitudinal population-based survey. Methods: Canadian National Population Health Survey (NPHS) longitudinal study was used. A subsample of the initial NPHS sample ( n = 4845), free of depression or diabetes mellitus at baseline was tracked over a 10-year period. Univariate and multivariate modified Poisson regression models were used to estimate the relative risk (RR). Stratified analyses by sex were conducted to measure its moderating role. The goodness-of-fit of the various models was tested. Results: The cumulative incidence rate of major depressive disorder and incident diabetes mellitus at 10-year follow-up were 4.1% and 10.1% respectively. Hypertension, daily smoking, physical inactivity and being overweight or obese were shared risk factors for major depressive episode and diabetes mellitus. Being female, family stress, traumatic events, having any chronic disease or heart disease were uniquely associated with depression while increasing age and ethnicity (non-white) were unique risk factors for diabetes mellitus. Also, underweight, family stress, chronic disease, and heart disease were risk factors for major depressive disorder in both sexes. Six risk factors, age, ethnicity (non-white), high blood pressure, daily smoking, physical inactivity, and body mass index were associated with incident diabetes mellitus in both sexes. Conclusion: We found common risk behaviors/conditions not specific to either diabetes mellitus or depression. These risks have also been implicated in the development of a variety of chronic diseases. These findings underline the importance of public health prevention programs targeting generic risk behaviors.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sarah Soyeon Oh ◽  
Eunhee Cho ◽  
Bada Kang

AbstractRecent findings suggest that social disengagement in later life may result in cognitive decline and increase risk of Alzheimer’s and related dementias. However, little is known regarding the gender-specific longitudinal association between social engagement and cognition among middle-aged and older adults. Using data from a nationally representative sample of 2707 men and 5196 women from the Korean longitudinal study of aging, we examined the gender-specific association between social activity and cognitive function. Results from the generalized estimating equation model showed that compared to individuals with consistent social engagement (religious, senior center, sport, reunion, voluntary, political), individuals with inconsistent engagement had lower cognitive function. Transitioning from engagement to non-engagement was associated with lower cognitive function among men only. Not being part of a senior center was associated with decreased cognitive function among both genders, while not being part of a religious group was significant for women only. While marital status was a significant predictor of cognitive ability for women, depression was a significant predictor for men. These findings have implications for policy-makers as interventions targeting improved cognitive function among middle-aged and older adults may be more effective when gender-specific predictors are taken into consideration.


Diabetes ◽  
1997 ◽  
Vol 46 (8) ◽  
pp. 1354-1359 ◽  
Author(s):  
S. Lehto ◽  
T. Ronnemaa ◽  
S. M. Haffner ◽  
K. Pyorala ◽  
V. Kallio ◽  
...  

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