107 research outputs found
The influence of depression on risk development of acute cardiovascular diseases in the female population aged 25–64 in Russia
Background. Recent studies showed that depression was an independent predictor of mortality from cardio-vascular disease in healthy women. Objective. To explore the effect of depression (D) on relative risk (RR) of myocardial infarction (MI) and stroke for 16 years (1995–2010) in the female population aged 25–64 years from Novosibirsk, Russia. Materials and methods. Under the third screening of the WHO “MONICA-psychosocial” (MOPSY) programme, a cohort of women aged 25–64 years (N=560) was surveyed. Women were followed for 16 years for the incidence of MI and stroke (1995–2010). D was measured at the baseline examination by means of test “MOPSY”. Participants having stroke, MI, arterial hypertension, coronary artery diseases and diabetes in their medical history at the baseline were excluded from this analysis. Results. The prevalence of D in women aged 25–64 years was 55.2%. With the growth of D levels, positive self-rated health reduced and almost 100% of those women have complaints about their health, but considered the care of their health insufficient. Women with major D significantly extended negative behavioural habits: smoking and unsuccessful attempts to give up, low physical activity, and less likely to follow a diet (healthy food). Major D associated with high job strain and family stress. Relative risk (RR) of MI development in women with D during 16 years of study was higher in 2.53 cases (p<0.05) and risk of stroke was higher in 4.63 cases (p<0.05). Conclusions. The prevalence of D in women aged 25–64 years was >50%. Women with D had a 2.53-fold risk of MI and 4.63-fold risk of stroke during the 16 years of follow-up
Dementia as a determinant of social and health service use in the last two years of life 1996-2003
<p>Abstract</p> <p>Background</p> <p>Dementia is one of the most common causes of death among old people in Finland and other countries with high life expectancies. Dementing illnesses are the most important disease group behind the need for long-term care and therefore place a considerable burden on the health and social care system. The aim of this study was to assess the effects of dementia and year of death (1998-2003) on health and social service use in the last two years of life among old people.</p> <p>Methods</p> <p>The data were derived from multiple national registers in Finland and comprise all those who died in 1998, 2002 or 2003 and 40% of those who died in 1999-2001 at the age of 70 or over (n = 145 944). We studied the use of hospitals, long-term care and home care in the last two years of life. Statistics were performed using binary logistic regression analyses and negative binomial regression analyses, adjusting for age, gender and comorbidity.</p> <p>Results</p> <p>The proportion of study participants with a dementia diagnosis was 23.5%. People with dementia diagnosis used long-term care more often (OR 9.30, 95% CI 8.60, 10.06) but hospital (OR 0.33, 95% CI 0.31, 0.35) and home care (OR 0.50, 95% CI 0.46, 0.54) less often than people without dementia. The likelihood of using university hospital and long-term care increased during the eight-year study period, while the number of days spent in university and general hospital among the users decreased. Differences in service use between people with and without dementia decreased during the study period.</p> <p>Conclusions</p> <p>Old people with dementia used long-term care to a much greater extent and hospital and home care to a lesser extent than those without dementia. This difference persisted even when controlling for age, gender and comorbidity. It is important that greater attention is paid to ensuring that old people with dementia have equitable access to care.</p
Placebo Adherence and Its Association with Morbidity and Mortality in the Studies of Left Ventricular Dysfunction
A provocative finding from several double-blind clinical trials has been the association between greater adherence to placebo study medication and better health outcomes. We used data from the Studies of Left Ventricular Dysfunction (SOLVD) Treatment Trial (SOLVD-TT) and the SOLVD Prevention Trial (SOLVD-PT) to examine whether such associations could be validated and to examine several sources of bias and potential confounding.
Survival analytic methods were used to estimate the association between placebo adherence and several health outcomes, employing a number of modeling techniques to test for the existence of alternative explanations for the association. Higher adherence was defined as having taken ≥75% of prescribed study medication.
Higher placebo adherence was associated with improved overall survival in both SOLVD-TT and SOLVD-PT [hazard ratio (HR) = 0.52, 95% confidence interval (CI): 0.35 to 0.79 and HR = 0.52, 95%CI: 0.38 to 0.71, respectively]. Associations were similar for fatal or non-fatal cardiovascular or coronary heart disease events. Adjustment for both modifiable and non-modifiable cardiac risk factors (including age, gender, diabetes, blood pressure, smoking, weight, alcohol use, and levels of education) had minimal effect on the strength of the association. Little evidence of bias was found as an explanation for this relationship.
In these two trials, better adherence to placebo was associated with markedly superior health outcomes, including total in-study mortality and incident cardiovascular events. No important confounders were identified. These data suggest there may exist strong but unrecognized determinants of health outcomes for which placebo adherence is a marker
All-cause mortality and risk factors in a cohort of retired military male veterans, Xi'an, China: an 18-year follow up study
<p>Abstract</p> <p>Background</p> <p>Risk factors of all-cause mortality have not been reported in Chinese retired military veterans. The objective of the study was to examine the risk factors and proportional mortality in a Chinese retired military male cohort.</p> <p>Methods</p> <p>A total of 1268 retired military men aged 55 or older were examined physically and interviewed using a standard questionnaire in 1987. The cohort was followed up every two years and the study censored date was June30, 2005 with a follow-up of up to 18 years. Death certificates were obtained from hospitals and verified by two senior doctors. Data were entered (double entry) by Foxbase, and analysis was carried out by SAS for Windows 8.2. Multivariate Cox proportional hazard regression model was used to compute hazard ratio (HR) and 95% confidence interval (CI).</p> <p>Results</p> <p>The total person-years of follow-up was 18766.28. Of the initial cohort of 1268 men, 491 had died, 748 were alive and 29 were lost to follow up. Adjusted mortality (adjusted for age, blood pressure, body mass index, cholesterol, triglycerides, alcohol, exercise, and existing disease) was 2,616 per 100,000 person years. The proportional mortality of cancer, vascular disease and Chronic Obstructive Pulmonary Disease (COPD) were 39.71%, 28.10% and 16.90% respectively. Multivariate analysis showed that age, cigarettes per day, systolic blood pressure, triglyceride, family history of diseases (hypertension, stroke and cancer), existing diseases (stroke, diabetes and cancer), body mass index, and age of starting smoking were associated with all-cause mortality, HR (95%CI) was1.083(1.062–1.104), 1.026(1.013–1.039), 1.009(1.003–1.015), 1.002(1.001–1.003), 1.330(1.005–1.759), 1.330(1.005–1.759), 1.444(1.103–1.890), 2.237(1.244–4.022), 1.462(1.042–2.051), 2.079(1.051–4.115), 0.963(0.931–0.996)and 0.988(0.978–0.999)respectively. Compared with never-smokers, current smokers had increased risks of total mortality [HR 1.369(1.083–1.731)], CHD [HR 1.805 (1.022–3.188)], and lung cancer [HR 2.939 (1.311–6.585)].</p> <p>Conclusion</p> <p>The three leading causes of diseases were cancer, CHD and stroke, and COPD. Aging, cigarette smoking, high systolic blood pressure, high triglyceride, family history of cancer, hypertension and stroke, existing cases recovering from stroke, diabetes and cancer, underweight, younger age of smoking were risk factors for all-cause mortality. Quitting cigarette smoking, maintaining normal blood pressure, triglyceride and weight are effect control strategies to prevent premature mortality in this military cohort.</p
Analysis of job stress in workers employed by three public organizations in Serbia
Objectives: The present study analyzes job stress in terms of education, age and the presence of cardiovascular and endocrine/metabolic diseases. Material and Methods: A total of 411 workers employed by three public organizations completed the Job Content Questionnaire to classify their jobs based on the job strain model. Data about health condition, education and habits was obtained by the use of medical examinations and an interview. Results: The analysis of the completed Job Content Questionnaires indicates that workers with high education have significantly higher decision latitude (DL) than low-educated workers (one-way ANOVA, p < 0.0001). DL was also different between age groups (one-way ANOVA, p < 0.0001) - the highest DL values were observed in the oldest group, while the lowest DL mean was found in the youngest group. Psychological job demands (PJD) and social support (SS) were not significantly different between educational and age groups. The frequency of job stress categories was significantly different between low and highly-educated workers (χ2 test, df = 3, p < 0.0001) and also between different age groups (χ2 test, df = 6, p < 0.0001). The majority of highly-educated men were exposed to "active" jobs (high PJD and high DL). Most frequently, men older than 45 years experienced jobs with high DL ("active" and "low strain"), men aged 35 to 45 years were exposed to jobs with high PJD ("high strain" and "active") while the majority of men younger than 35 years were exposed to jobs with low DL ("high strain" and "passive"). No association between cardiovascular and endocrine/metabolic disorders and different job stress categories was observed. Conclusion: "High strain" and "passive" jobs were most frequently identified among low-educated and young men. Despite the absence of association between job stress and cardiovascular and endocrine/metabolic diseases, we recommend prevention of work stress, particularly in the case of low-educated workers and workers younger than 45 years exposed to unfavorable job stress categories
Heart Rate Variability Characteristics in Sedentary Postmenopausal Women Following Six Months of Exercise Training: The DREW Study
Article on heart rate variability characteristics in sedentary postmenopausal women following six months of exercise training
Geographic and Racial Variation in Premature Mortality in the U.S.: Analyzing the Disparities
Life expectancy at birth, estimated from United States period life tables, has been shown to vary systematically and widely by region and race. We use the same tables to estimate the probability of survival from birth to age 70 (S70), a measure of mortality more sensitive to disparities and more reliably calculated for small populations, to describe the variation and identify its sources in greater detail to assess the patterns of this variation. Examination of the unadjusted probability of S70 for each US county with a sufficient population of whites and blacks reveals large geographic differences for each race-sex group. For example, white males born in the ten percent healthiest counties have a 77 percent probability of survival to age 70, but only a 61 percent chance if born in the ten percent least healthy counties. Similar geographical disparities face white women and blacks of each sex. Moreover, within each county, large differences in S70 prevail between blacks and whites, on average 17 percentage points for men and 12 percentage points for women. In linear regressions for each race-sex group, nearly all of the geographic variation is accounted for by a common set of 22 socio-economic and environmental variables, selected for previously suspected impact on mortality; R2 ranges from 0.86 for white males to 0.72 for black females. Analysis of black-white survival chances within each county reveals that the same variables account for most of the race gap in S70 as well. When actual white male values for each explanatory variable are substituted for black in the black male prediction equation to assess the role explanatory variables play in the black-white survival difference, residual black-white differences at the county level shrink markedly to a mean of −2.4% (+/−2.4); for women the mean difference is −3.7% (+/−2.3)
Social Relationships and Mortality Risk: A Meta-analytic Review
In a meta-analysis, Julianne Holt-Lunstad and colleagues find that individuals' social relationships have as much influence on mortality risk as other well-established risk factors for mortality, such as smoking
Job stress and mortality in older age
Objectives: This paper aims to assess the relationship between the determinants of the psychosocial work environment, as expressed in terms of JDC or ERI models, and all-cause mortality in older individuals. Materials and Methods: The baseline study was conducted on a cohort comprising a random sample of 65-year-old community-dwelling citizens of Kraków, Poland. All of the 727 participants (410 women, 317 men) were interviewed in their households in the period between 2001 and 2003; a structured questionnaire was used regarding their occupational activity history, which included indexes measuring particular dimensions of their psychosocial work environment based on Karasek's Job Demand-Control model and Siegrist's Effort-Reward Imbalance model, as well as health-related quality of life and demographic data. Mortality was ascertained by monitoring City Vital Records for 7 years. Analyses were conducted separately for men and women, with the multivariate Cox proportional hazard model. Results: During a 7-year follow-up period, 59 participants (8.1%) died, including 21 women (5.1% of total women) and 38 men (12%) (p < 0.05). Significant differences in the number of deaths occurred regarding disproportion between physical demands and control in men: those with low physical demands and low control died three times more often than those with high control, regardless of the level of demands. The multivariate Cox proportional hazard model showed that significantly higher risk of death was observed only in men with low physical demands and low control, compared to those with low physical demands and high control (Exp(B) = 4.65, 95% CI: 1.64-13.2). Conclusions: Observed differences in mortality patterns are similar to the patterns of relationships observed in health-related quality of life (HRQoL) level at the beginning of old age; however, the relationship between efforts and rewards or demands and control and mortality was not fully confirmed
- …
