scholarly journals Mortality inequalities by occupational status and type of job in men and women: results from the Rome Longitudinal Study

BMJ Open ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. e033776
Author(s):  
Lorenzo Paglione ◽  
Laura Angelici ◽  
Marina Davoli ◽  
Nera Agabiti ◽  
Giulia Cesaroni

ObjectivesSocioeconomic inequalities have a strong impact on population health all over the world. Occupational status is a powerful determinant of health in rich societies. We aimed at investigating the association between occupation and mortality in a large metropolitan study.DesignCohort study.SettingRome, capital of Italy.ParticipantsWe used the Rome Longitudinal Study, the administrative cohort of residents in Rome at the 2001 general census, followed until 2015. We selected residents aged 15–65 years at baseline. For each subject, we had information on sex, age and occupation (occupational status and type of job) according to the Italian General Census recognition.Main outcome measuresWe investigated all-cause, cancer, cardiovascular and accidental mortality, major causes of death in the working-age population. We used Cox proportional hazards models to investigate the association between occupation and all-cause and cause-specific mortality in men and women.ResultsWe selected 1 466 726 subjects (52.1% women). 42 715 men and 29 915 women died during the follow-up. In men, 47.8% of deaths were due to cancer, 26.7% to cardiovascular causes and 6.4% to accidents, whereas in women 57.8% of deaths were due to cancer, 19.3% to cardiovascular causes and 3.5% to accidents. We found an association between occupational variables and mortality, more evident in men than in women. Compared with employed, unemployed had a higher risk of mortality for all causes with an HR=1.99 (95% CI 1.92 to 2.06) in men and an HR=1.49 (95% CI 1.39 to 1.60) in women. Compared with high-qualified non-manual workers, non-specialised manual workers had a higher mortality risk (HR=1.68, 95% CI 1.59 to 1.77 and HR=1.30, 95% CI 1.20 to 1.40, for men and women, respectively).ConclusionsThis study shows the importance of occupational variables as social health determinants and provides evidence for policy-makers on the necessity of integrated and preventive policies aimed at improving the safety of the living and the working environment.

2021 ◽  
Author(s):  
Do Kyeong Song ◽  
Young Sun Hong ◽  
Yeon-Ah Sung ◽  
Hyejin Lee

Abstract Obesity is associated with cardiovascular diseases (CVD). However, body mass index (BMI) has a limited ability to measure abdominal obesity. We aimed to evaluate the associations between waist circumference (WC) and mortality or CVD incidence in a general Korean population. We analyzed a total of 204,068 adults older than 40 years of age who had undergone a national health examination in the Korean National Health Insurance Service Cohort. Hazard ratios for death and CVD incidence were calculated using Cox proportional hazards models after adjustment for age, smoking, alcohol consumption status, levels of physical activity, total cholesterol, hypertension, and diabetes mellitus status. In men, WC and overall mortality showed a reverse J-shaped association. For both men and women, WC was not associated with risk of cardiovascular mortality. Contrary to mortality trend, CVD incidence was positively associated with WC in both men and women, and risk of the CVD incidence was the lowest in subjects with a WC < 80 cm. WC exhibited a significant J-shaped association with overall mortality in men. The risk of incident CVD showed a positive association with central obesity, where the lowest risk was observed for subjects in the lowest WC group in a general Korean population.


2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
M. Mushfiqur Rahman ◽  
Jolanda Cibere ◽  
Aslam H. Anis ◽  
Charlie H. Goldsmith ◽  
Jacek A. Kopec

Objectives. Our aim was to determine the risk of diabetes among osteoarthritis (OA) cases in a prospective longitudinal study.Methods. Administrative health records of 577,601 randomly selected individuals from British Columbia, Canada, from 1991 to 2009, were analyzed. OA and diabetes cases were identified by checking physician’s visits and hospital records. From 1991 to 1996 we documented 19,143 existing OA cases and selected one non-OA individual matched by age, sex, and year of administrative records. Poisson regression and Cox proportional hazards models were fitted to estimate the effects after adjusting for available sociodemographic and medical factors.Results. At baseline, the mean age of OA cases was 61 years and 60.5% were women. Over 12 years of mean follow-up, the incidence rate (95% CI) of diabetes was 11.2 (10.90–11.50) per 1000 person years. Adjusted RRs (95% CI) for diabetes were 1.27 (1.15–1.41), 1.21 (1.08–1.35), 1.16 (1.04–1.28), and 0.99 (0.86–1.14) for younger women (age 20–64 years), older women (age ≥ 65 years), younger men, and older men, respectively.Conclusion. Younger adults and older women with OA have increased risks of developing diabetes compared to their age-sex matched non-OA counterparts. Further studies are needed to confirm these results and to elucidate the potential mechanisms.


2007 ◽  
Vol 53 (5) ◽  
pp. 940-946 ◽  
Author(s):  
Lili Kazemi-Shirazi ◽  
Georg Endler ◽  
Stefan Winkler ◽  
Thomas Schickbauer ◽  
Oswald Wagner ◽  
...  

Abstract Background: Increased gamma glutamyltransferase (GGT) is associated with cardiovascular disease. To date, however, few studies with sufficient sample size and follow-up have investigated the association of GGT with all-cause mortality. Methods: The relation of GGT to the risk of death was examined in a cohort of 283 438 first attendants (inpatients or outpatients) of the Vienna General Hospital with request for GGT analysis as part of a routine screening panel and was monitored for up to 13 years. To evaluate GGT as a predictor, Cox proportional hazards models were calculated, which were adjusted for age and sex. Results: In both men and women, GGT above the reference category (GGT ≥9 U/L in women, ≥14 U/L in men) was significantly (P &lt;0.001) associated with all-cause, cancer, hepatobiliary, and vascular mortalities. Hazard ratios (HRs) for men and women were similar in all categories. Among patients who presented with GGT above the reference category, those younger than 30 years had higher all-cause mortality rates than did older individuals (HR 1.5–3.3 vs HR 1–1.3 &gt;80 years, respectively). Conclusions: GGT is associated with mortality in both men and women, especially in patients younger than 30 years, and even high-normal GGT is a risk factor for all-cause mortality.


2019 ◽  
Vol 28 (1) ◽  
pp. 73-81 ◽  
Author(s):  
Takuro Okamura ◽  
Yoshitaka Hashimoto ◽  
Masahide Hamaguchi ◽  
Akihiro Obora ◽  
Takao Kojima ◽  
...  

Background & Aims: Previous cross-sectional studies revealed that short sleep duration has a close relationship with the presence of non-alcoholic fatty liver disease (NAFLD). We aimed to investigate the association between sleep duration and incident NAFLD.Methods: In this historical cohort study of 12,306 participants (5,848 men and 6,458 women), we investigated the effect of sleep duration on incident NAFLD. NAFLD was defined as having fatty liver diagnosed by abdominal ultrasonography in the participants who consumed ethanol less than 30 g/day for men and 20 g/day for women. We divided the participants into four groups according to sleep duration: >7, >6-7, >5-6, and ≤5h. Cox proportional hazards models were performed to investigate the effect of sleep duration on incident NAFLD, adjusting for age, body mass index categories, alanine aminotransferase, triglycerides, high density lipoprotein-cholesterol, fasting plasma glucose, smoking status, alcohol consumption, systolic blood pressure, exercise.Results: During the median 6.8-year follow-up for men and the 7.0-year follow-up duration for women, 2,280 participants (1,581 men and 699 women) developed NAFLD. In Cox proportional hazards models, sleep duration of ≤5 h in both men and women were revealed to be a significant risk for incident NAFLD, compared to men and women with a sleep duration of >7 h (men: hazard ratio 1.39, 95% confidence interval 1.13-1.72, p=0.002; women; 1.46, 1.05-2.04, p=0.023).Conclusion: This is the first study showing that short sleep duration was a risk factor for incident NAFLD.


2021 ◽  
Vol 21 (2) ◽  
pp. 45-55
Author(s):  
Sinhyung Lee ◽  
Hyeon Ho Choi ◽  
Seung Hee Kim ◽  
Jungun Lee

Background: As the course of depression and depressive symptoms over a lifetime varies between individuals, we used trajectory models based on the Korean Longitudinal Study of Aging to repeatedly measure symptoms over a follow-up period of 12 years to reveal the association with mortality.Methods: Three thousand five hundred sixty-one (1,483 men and 2,078 women) subjects aged over 65 years were included. Using the 10-item Center for Epidemiological Studies Depression Scale (CES-D 10), a trajectory model was classified into different depressive symptom groups by gender. Cox proportional hazards models were used to investigate the association between depression trajectory and all-cause mortality.Results: We identified four trajectories of depressive symptoms in both men and women characterized by low CES-D 10 scores throughout the study: Low trajectory (LT), Moderate high trajectory (MHT), High, but increasing trajectory (HIT), and High, but decreasing trajectory (HDT). The adjusted hazard ratios of the HIT, HDT, and MHT compared with LT in men were 2.12 (95% confidence interval [CI], 1.43-3.16), 1.52 (95% CI, 0.96-2.40), and 1.58 (95% CI, 1.10-2.26), respectively. In women, ratios of each group were 1.62 (95% CI, 1.25-2.10), 0.84 (95% CI, 0.61-1.16), and 1.20 (95% CI, 0.99-1.46).Conclusions: Highly depressive symptoms that increased over the 12 years period were associated with the highest risk of mortality in the Korean elderly population. The trajectory group with remitting depressive symptoms (HDT), despite having a similar baseline level of mood symptoms as the high increasing group (HIT) experienced a lower mortality risk in both men and women.


JAMIA Open ◽  
2020 ◽  
Author(s):  
Spiros Denaxas ◽  
Anoop D Shah ◽  
Bilal A Mateen ◽  
Valerie Kuan ◽  
Jennifer K Quint ◽  
...  

Abstract Objectives The UK Biobank (UKB) is making primary care electronic health records (EHRs) for 500 000 participants available for COVID-19-related research. Data are extracted from four sources, recorded using five clinical terminologies and stored in different schemas. The aims of our research were to: (a) develop a semi-supervised approach for bootstrapping EHR phenotyping algorithms in UKB EHR, and (b) to evaluate our approach by implementing and evaluating phenotypes for 31 common biomarkers. Materials and Methods We describe an algorithmic approach to phenotyping biomarkers in primary care EHR involving (a) bootstrapping definitions using existing phenotypes, (b) excluding generic, rare, or semantically distant terms, (c) forward-mapping terminology terms, (d) expert review, and (e) data extraction. We evaluated the phenotypes by assessing the ability to reproduce known epidemiological associations with all-cause mortality using Cox proportional hazards models. Results We created and evaluated phenotyping algorithms for 31 biomarkers many of which are directly related to COVID-19 complications, for example diabetes, cardiovascular disease, respiratory disease. Our algorithm identified 1651 Read v2 and Clinical Terms Version 3 terms and automatically excluded 1228 terms. Clinical review excluded 103 terms and included 44 terms, resulting in 364 terms for data extraction (sensitivity 0.89, specificity 0.92). We extracted 38 190 682 events and identified 220 978 participants with at least one biomarker measured. Discussion and conclusion Bootstrapping phenotyping algorithms from similar EHR can potentially address pre-existing methodological concerns that undermine the outputs of biomarker discovery pipelines and provide research-quality phenotyping algorithms.


Cancers ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 1177
Author(s):  
In Young Choi ◽  
Sohyun Chun ◽  
Dong Wook Shin ◽  
Kyungdo Han ◽  
Keun Hye Jeon ◽  
...  

Objective: To our knowledge, no studies have yet looked at how the risk of developing breast cancer (BC) varies with changes in metabolic syndrome (MetS) status. This study aimed to investigate the association between changes in MetS and subsequent BC occurrence. Research Design and Methods: We enrolled 930,055 postmenopausal women aged 40–74 years who participated in a biennial National Health Screening Program in 2009–2010 and 2011–2012. Participants were categorized into four groups according to change in MetS status during the two-year interval screening: sustained non-MetS, transition to MetS, transition to non-MetS, and sustained MetS. We calculated multivariable-adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for BC incidence using the Cox proportional hazards models. Results: At baseline, MetS was associated with a significantly increased risk of BC (aHR 1.11, 95% CI 1.06–1.17) and so were all of its components. The risk of BC increased as the number of the components increased (aHR 1.46, 95% CI 1.26–1.61 for women with all five components). Compared to the sustained non-MetS group, the aHR (95% CI) for BC was 1.11 (1.04–1.19) in the transition to MetS group, 1.05 (0.96–1.14) in the transition to non-MetS group, and 1.18 (1.12–1.25) in the sustained MetS group. Conclusions: Significantly increased BC risk was observed in the sustained MetS and transition to MetS groups. These findings are clinically meaningful in that efforts to recover from MetS may lead to reduced risk of BC.


Author(s):  
Laurie Grieshober ◽  
Stefan Graw ◽  
Matt J. Barnett ◽  
Gary E. Goodman ◽  
Chu Chen ◽  
...  

Abstract Purpose The neutrophil-to-lymphocyte ratio (NLR) is a marker of systemic inflammation that has been reported to be associated with survival after chronic disease diagnoses, including lung cancer. We hypothesized that the inflammatory profile reflected by pre-diagnosis NLR, rather than the well-studied pre-treatment NLR at diagnosis, may be associated with increased mortality after lung cancer is diagnosed in high-risk heavy smokers. Methods We examined associations between pre-diagnosis methylation-derived NLR (mdNLR) and lung cancer-specific and all-cause mortality in 279 non-small lung cancer (NSCLC) and 81 small cell lung cancer (SCLC) cases from the β-Carotene and Retinol Efficacy Trial (CARET). Cox proportional hazards models were adjusted for age, sex, smoking status, pack years, and time between blood draw and diagnosis, and stratified by stage of disease. Models were run separately by histotype. Results Among SCLC cases, those with pre-diagnosis mdNLR in the highest quartile had 2.5-fold increased mortality compared to those in the lowest quartile. For each unit increase in pre-diagnosis mdNLR, we observed 22–23% increased mortality (SCLC-specific hazard ratio [HR] = 1.23, 95% confidence interval [CI]: 1.02, 1.48; all-cause HR = 1.22, 95% CI 1.01, 1.46). SCLC associations were strongest for current smokers at blood draw (Interaction Ps = 0.03). Increasing mdNLR was not associated with mortality among NSCLC overall, nor within adenocarcinoma (N = 148) or squamous cell carcinoma (N = 115) case groups. Conclusion Our findings suggest that increased mdNLR, representing a systemic inflammatory profile on average 4.5 years before a SCLC diagnosis, may be associated with mortality in heavy smokers who go on to develop SCLC but not NSCLC.


2021 ◽  
Vol 147 (5) ◽  
pp. 1407-1419
Author(s):  
Manuela Limam ◽  
Katarina Luise Matthes ◽  
Giulia Pestoni ◽  
Eleftheria Michalopoulou ◽  
Leonhard Held ◽  
...  

Abstract Background Colorectal cancer (CRC) is among the three most common incident cancers and causes of cancer death in Switzerland for both men and women. To promote aspects of gender medicine, we examined differences in treatment decision and survival by sex in CRC patients diagnosed 2000 and 2001 in the canton of Zurich, Switzerland. Methods Characteristics assessed of 1076 CRC patients were sex, tumor subsite, age at diagnosis, tumor stage, primary treatment option and comorbidity rated by the Charlson Comorbidity Index (CCI). Missing data for stage and comorbidities were completed using multivariate imputation by chained equations. We estimated the probability of receiving surgery versus another primary treatment using multivariable binomial logistic regression models. Univariable and multivariable Cox proportional hazards regression models were used for survival analysis. Results Females were older at diagnosis and had less comorbidities than men. There was no difference with respect to treatment decisions between men and women. The probability of receiving a primary treatment other than surgery was nearly twice as high in patients with the highest comorbidity index, CCI 2+, compared with patients without comorbidities. This effect was significantly stronger in women than in men (p-interaction = 0.010). Survival decreased with higher CCI, tumor stage and age in all CRC patients. Sex had no impact on survival. Conclusion The probability of receiving any primary treatment and survival were independent of sex. However, female CRC patients with the highest CCI appeared more likely to receive other therapy than surgery compared to their male counterparts.


2020 ◽  
pp. 073346482096720
Author(s):  
Woojung Lee ◽  
Shelly L. Gray ◽  
Douglas Barthold ◽  
Donovan T. Maust ◽  
Zachary A. Marcum

Informants’ reports can be useful in screening patients for future risk of dementia. We aimed to determine whether informant-reported sleep disturbance is associated with incident dementia, whether this association varies by baseline cognitive level and whether the severity of informant-reported sleep disturbance is associated with incident dementia among those with sleep disturbance. A longitudinal retrospective cohort study was conducted using the uniform data set collected by the National Alzheimer’s Coordinating Center. Older adults without dementia at baseline living with informants were included in analysis. Cox proportional hazards models showed that participants with an informant-reported sleep disturbance were more likely to develop dementia, although this association may be specific for older adults with normal cognition. In addition, older adults with more severe sleep disturbance had a higher risk of incident dementia than those with mild sleep disturbance. Informant-reported information on sleep quality may be useful for prompting cognitive screening.


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