scholarly journals Impact of Behavioral Risk Factors on Mortality Risk in Older Korean Women

2022 ◽  
Author(s):  
Shinuk Kim ◽  
Hyunsik Kang
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Behavioral Risk ◽  
Korean Women ◽  
Lifestyle Risk Factors ◽  
Premature Deaths ◽  
Lifestyle Risk ◽  
The Impact ◽  
Cvd Mortality

Background: To investigate the impact of lifestyle risk factors on all-cause and cardiovascular disease (CVD) mortality in Korean women aged 60 yr and older. Methods: Data (n = 3,034) obtained from the Korean longitudinal study of aging were analyzed. Exposures included lifestyle risk factors, such as smoking, alcohol abuse, underweight/obesity, physical inactivity, and unintentional weight loss. Primary outcomes were premature deaths from specific and all-causes. Results: During 9.6±2.0 yr of follow-up, there were 628 cases (20.7%) of death from all causes, of which 137 cases (4.5%) were from CVD. Compared to zero risk factor (hazard ratio, HR=1), crude HR of all-cause mortality was 2.277 (95% confidence interval, CI, 1.712 ~ 3.030, P < 0.001) for one risk factor, 2.977 (95% CI, 2.124 ~ 4.003, P < 0.001) for two risk factors, and 5.154 (95% CI, 3.515 ~ 7.557, P < 0.001) for three or more risk factors. Compared to zero risk factor (HR=1), crude HR of CVD mortality was 2.035 (95% CI, 1.422 ~ 2.913, P < 0.001) for one risk factor, 2.468 (95% CI, 1.708 ~ 3.567, P < 0.001) for two risk factor, and 4.484 (95% CI, 2.830 ~ 7.102, P < 0.001) for three or more risk factors. Adjusted HRs of all-cause (P = 0.016) and CVD (P = 0.050) for three or more risk factors only remained significant for three or more risk factors. Conclusion: The current findings showed that individual and combined lifestyle risk factors were significantly associated with increased risks of all-cause and CVD mortality in older Korean women.  

scholarly journals Lifestyle Risk Factors and All-Cause and Cardiovascular Disease Mortality: Data from the Korean Longitudinal Study of Aging

2019 ◽  
Vol 16 (17) ◽  
pp. 3040 ◽  
Author(s):  
Inhwan Lee ◽  
Shinuk Kim ◽  
Hyunsik Kang
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Risk Factor ◽  
Physical Inactivity ◽  
Mortality Data ◽  
Lifestyle Risk Factors ◽  
Disease Mortality ◽  
Increased Risk ◽  
Lifestyle Risk ◽  
Cvd Mortality

This study examined the association between lifestyle risk factors and all-cause and cardiovascular disease (CVD) mortality in 9945 Korea adults (56% women) aged 45 years and older. Smoking, heavy alcohol intake, underweight or obesity, physical inactivity, and unintentional weight loss (UWL) were included as risk factors. During 9.6 ± 2.0 years of follow-up, there were a total of 1530 cases of death from all causes, of which 365 cases were from CVD. Compared to a zero risk factor (hazard ratio, HR = 1), the crude HR of all-cause mortality was 1.864 (95% CI, 1.509–2.303) for one risk factor, 2.487 (95% confidence interval, CI, 2.013–3.072) for two risk factors, and 3.524 (95% CI, 2.803–4.432) for three or more risk factors. Compared to a zero risk factor (HR = 1), the crude HR of CVD mortality was 2.566 (95% CI, 1.550–4.250) for one risk factor, 3.655 (95% CI, 2.211–6.043) for two risk factor, and 5.416 (95% CI, 3.185–9.208) for three or more risk factors. The HRs for all-cause and CVD mortality remained significant even after adjustments for measured covariates. The current findings showed that five lifestyle risk factors, including smoking, at-risk alcohol consumption, underweight/obesity, physical inactivity, and UWL, were significantly associated with an increased risk of all-cause and CVD mortality in Korean adults.

scholarly journals Lifestyle Risk Factors for Cardiovascular Disease in Relation to COVID-19 Hospitalization: A Community-Based Cohort Study of 387,109 Adults in UK

2020 ◽  
Author(s):  
Mark Hamer ◽  
Mika Kivimaki ◽  
Catharine R Gale ◽  
George David Batty
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Cohort Study ◽  
Hospital Admission ◽  
Physical Inactivity ◽  
Alcohol Intake ◽  
Lifestyle Risk Factors ◽  
Wide Range ◽  
Lifestyle Risk ◽  
The Impact

Aims: It is important to identify characteristics of people who may be most at risk of COVID19 to inform policy and intervention. Little is known about the impact of unhealthy lifestyles including smoking, physical inactivity, obesity, and excessive alcohol intake. We conducted the first large scale general population study on lifestyle risk factors for COVID19. Methods: Prospective cohort study with national registry linkage to hospitalisation for COVID19. Participants were 387,109 men and women (56.4, SD 8.8 yr; 55.1% women) residing in England from UK Biobank study. Physical activity, smoking, and alcohol intake, were assessed by questionnaire at baseline (2006 to 2010). Body mass index, from measured height and weight, was used as an indicator of overall obesity. Outcome was cases of COVID19 serious enough to warrant a hospital admission from 16 March 2020 to 26 April 2020. Results: There were 760 COVID19 cases. After adjustment for age, sex and mutually for each lifestyle factor, physical inactivity (Relative risk, 1.32, 95% confidence interval, 1.10, 1.58), smoking (1.42;1.12, 1.79) and obesity (2.05 ;1.68, 2.49) but not heavy alcohol consumption (1.12; 0.93, 1.35) were all related to COVID19. We also found a dose dependent increase in risk of COVID19 with less favourable lifestyle scores, such that participants in the most adverse category had four fold higher risk (4.41; 2.52, 7.71) compared to people with the most optimal lifestyle. This gradient was little affected after adjustment for a wide range of covariates. Based on UK risk factor prevalence estimates, unhealthy behaviours in combination accounted for up to 51% of the population attributable fraction of severe COVID19. Conclusions and Relevance: Our findings suggest that an unhealthy lifestyle synonymous with an elevated risk of non-communicable disease is also a risk factor for COVID19 hospital admission, accounting for up to half of severe cases. Adopting simple lifestyle changes could lower the risk of severe infection.

scholarly journals Influence of lifestyle risk factors on work ability and sick leave in a general working population in Norway: a 5-year longitudinal study

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e045678
Author(s):  
Marit Müller De Bortoli ◽  
Inger M. Oellingrath ◽  
Anne Kristin Moeller Fell ◽  
Alex Burdorf ◽  
Suzan J. W. Robroek
Keyword(s):  
Risk Factors ◽  
Longitudinal Study ◽  
Sick Leave ◽  
Work Ability ◽  
Working Population ◽  
Short Term ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

ObjectivesThe aim of this study is to assess (1) whether lifestyle risk factors are related to work ability and sick leave in a general working population over time, and (2) these associations within specific disease groups (ie, respiratory diseases, cardiovascular disease and diabetes, and mental illness).SettingTelemark county, in the south-eastern part of Norway.DesignLongitudinal study with 5 years follow-up.ParticipantsThe Telemark study is a longitudinal study of the general working population in Telemark county, Norway, aged 16 to 50 years at baseline in 2013 (n=7952) and after 5-year follow-up.Outcome measureSelf-reported information on work ability (moderate and poor) and sick leave (short-term and long-term) was assessed at baseline, and during a 5-year follow-up.ResultsObesity (OR=1.64, 95% CI: 1.32 to 2.05) and smoking (OR=1.62, 95% CI: 1.35 to 1.96) were associated with long-term sick leave and, less strongly, with short-term sick leave. An unhealthy diet (OR=1.57, 95% CI: 1.01 to 2.43), and smoking (OR=1.67, 95% CI: 1.24 to 2.25) were associated with poor work ability and, to a smaller extent, with moderate work ability. A higher lifestyle risk score was associated with both sick leave and reduced work ability. Only few associations were found between unhealthy lifestyle factors and sick leave or reduced work ability within disease groups.ConclusionLifestyle risk factors were associated with sick leave and reduced work ability. To evaluate these associations further, studies assessing the effect of lifestyle interventions on sick leave and work ability are needed.

Abstract 141: Impact of an Aggressive Medical Management Protocol on Early Risk Factor Measures in the Stenting and Aggressive Medical Management for Preventing Recurrent stroke in Intracranial Stenosis (SAMMPRIS) Trial

Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Tanya N Turan ◽  
Azhar Nizam ◽  
Michael J Lynn ◽  
Colin P Derdeyn ◽  
David Fiorella ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Medical Management ◽  
Intracranial Stenosis ◽  
Patient Specific ◽  
Early Risk ◽  
Aggressive Medical Management ◽  
The Impact ◽  
Early Risk Factor

Purpose: SAMMPRIS is the first stroke prevention trial to include protocol-driven aggressive management of multiple vascular risk factors. We sought to determine the impact of this protocol on early risk factor control in the trial. Materials and Methods: SAMMPRIS randomized 451 patients with symptomatic 70%-99% intracranial stenosis to aggressive medical management or stenting plus aggressive medical management at 50 USA sites. For the primary risk factor targets (SBP < 140 mm/Hg (<130 if diabetic) and LDL < 70 mg/dL), the study neurologists follow medication titration algorithms and risk factor medications are provided to the patients. Secondary risk factors (diabetes, non-HDL, weight, exercise, and smoking cessation) are managed with assistance from the patient’s primary care physician and a lifestyle modification program (provided). Sites receive patient-specific recommendations and feedback to improve performance. Follow-up continues, but the 30-day data are final. We compared baseline to 30-day risk factor measures using paired t-tests for means and McNemar tests for percentages. Results: The differences in risk factor measures between baseline and 30 days are shown in Table 1. Conclusions: The SAMMPRIS protocol resulted in major improvements in controlling most risk factors within 30 days of enrollment, which may have contributed to the lower than expected 30 day stroke rate in the medical group (5.8%). However, the durability of this approach over time will be determined by additional follow-up.

Abstract 183: Depressive Symptoms and Incident Stroke in Black and White Participants in the REGARDS Study

Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Audrey L Austin ◽  
Michael G Crowe ◽  
Martha R Crowther ◽  
Virginia J Howard ◽  
Abraham J Letter ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Depressive Symptoms ◽  
Racial Differences ◽  
Stroke Risk ◽  
Depression Scale ◽  
Stroke Incidence ◽  
Blacks And Whites ◽  
The Impact

Background and Purpose: Research suggests that depression may contribute to stroke risk independent of other known risk factors. Most studies examining the impact of depression on stroke have been conducted with predominantly white cohorts, though blacks are known to have higher stroke incidence than whites. The purpose of this study was to examine depressive symptoms as a risk factor for incident stroke in blacks and whites, and determine whether depressive symptomatology was differentially predictive of stroke among blacks and whites. Methods: The REasons for Geographic and Racial Differences in Stroke (REGARDS), is a national, population-based longitudinal study designed to examine risk factors associated with black-white and regional disparities in stroke incidence. Among 30,239 participants (42% black) accrued from 2003-2007, excluding those lacking follow-up or data on depressive symptoms, 27,557 were stroke-free at baseline. As of the January 2011 data closure, over an average follow-up of 4.6 years, 548 incident stroke cases were verified by study physicians based on medical records review. The association between baseline depressive symptoms (assessed via the Center for Epidemiological Studies Depression scale, 4-item version) and incident stroke was analyzed with Cox proportional hazards models adjusted for demographic factors (age, race, and sex), stroke risk factors (hypertension, diabetes, smoking, atrial fibrillation, and history of heart disease), and social factors (education, income, and social network). Results: For the total sample, depressive symptoms were predictive of incident stroke. The association between depressive symptoms and stroke did not differ significantly based on race (Wald X 2 = 2.38, p = .1229). However, race-stratified analyses indicated that the association between depressive symptoms and stroke was stronger among whites and non-significant among blacks. Conclusions: Depressive symptoms were an independent risk factor for incident stroke among a national sample of blacks and whites. These findings suggest that assessment of depressive symptoms may warrant inclusion in stroke risk scales. The potential for a stronger association in whites than blacks requires further study.

scholarly journals Characteristics of Patients in Treatment for Alcohol and Drug Addiction Who Succeed in Changing Smoking, Weight, and Physical Activity: A Secondary Analysis of an RCT on Combined Lifestyle Interventions

2020 ◽  
pp. 1-8
Author(s):  
Mette Rasmussen ◽  
Karen Hovhannisyan ◽  
Johanna Adami ◽  
Hanne Tønnesen
Keyword(s):  
Risk Factors ◽  
Drug Addiction ◽  
Addiction Treatment ◽  
Secondary Analysis ◽  
Lifestyle Changes ◽  
Successful Outcome ◽  
Lifestyle Interventions ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

<b><i>Introduction:</i></b> Patients addicted to alcohol or drug often have additional unhealthy lifestyles, adding to the high mortality and morbidity in this patient group. Therefore, it is important to consider lifestyle interventions as part of the usual addiction treatment. <b><i>Objective:</i></b> The aim was to identify predictors of successful changes in lifestyle risk factors among patients in treatment for alcohol or drug addiction. <b><i>Methods:</i></b> We conducted a secondary analysis of a trial using a 6-week intensive integrated lifestyle intervention: The very integrated program (VIP). Patients were recruited in Addiction Centres Malmö and Psychiatry Skåne, Sweden. The primary outcome was successful changes in lifestyle, measured as quitting tobacco, exercising 30 min per day, and not being over- or underweight after 6 weeks and 12 months. <b><i>Results:</i></b> A total of 212 patients were included in the RCT, and 128 were included in this secondary analysis: 108 at 6 weeks and 89 at 12 months of follow-up. A total of 69 patients were respondents at both follow-ups. The follow-up rates were 51 and 42%, respectively. More education, having at least 2 lifestyle risk factors and having a high quality of life were predictors of a successful change in lifestyle after 6 weeks. After 12 months, the predictors for a successful outcome were having 3 or more risk factors, while an education level up to 3 years was a negative predictor. <b><i>Conclusions:</i></b> Having several unhealthy lifestyles in addition to alcohol and drug addiction was a significant predictor of successful lifestyle changes in the short- and long term after the VIP for lifestyle interventions. Likewise, education was significant. The results should be considered in future development and research among this vulnerable group of patients.

P3850Impact of sex and risk factors for venous thromboembolism on the clinical course of first acute venous thromboembolism. Insights from the PREFER in VTE

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M Giustozzi ◽  
S Barco ◽  
L Valerio ◽  
F A Klok ◽  
M C Vedovati ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Venous Thromboembolism ◽  
Baseline Risk ◽  
Major Surgery ◽  
First Episode ◽  
Risk Of Recurrence ◽  
Recurrent Vte ◽  
The Impact

Abstract Introduction The interaction between sex and specific provoking risk factors for venous thromboembolism (VTE) may influence initial presentation and prognosis. Purpose We investigated the impact of sex on the risk of recurrence across subgroups of patients with first VTE classified according to baseline risk factors. Methods PREFER in VTE was an international, non-interventional registry (2013–2015) including patients with a first episode of acute symptomatic objectively diagnosed VTE. We studied the risk of recurrence in patients classified according to baseline provoking risk factors for VTE consisted of i) major transient (major surgery/trauma, >5 days in bed), ii) minor transient (pregnancy or puerperium, estroprogestinic therapy, prolonged immobilization, current infection or bone fracture/soft tissue trauma); iii) unprovoked events, iv) active cancer-associated VTE. Results A total of 3,455 patients diagnosed with first acute VTE were identified, of whom 1,623 (47%) were women. The percentage of patients with a major transient risk factor was 22.2% among women and 19.7% among men. Minor transient risk factors were present in 21.3% and 12.4%, unprovoked VTE in 51.6% and 61.6%, cancer-associated VTE in 4.9% of women and 6.3% of men, respectively. The proportions of cases treated with Vitamin-K antagonists (VKAs) and direct oral anticoagulants (DOACs) were similar between sexes. Median length of treatment of VKAs was 181.5 and 182.0 days and of DOACs was 113.0 and 155.0 days in women and men, respectively. At 12-months of follow-up, VTE recurrence was reported in 74 (4.8%) women and 80 (4.5%) men. Table 1 shows the sex-specific proportion of recurrences by VTE risk factor categories. Table 1 Major Transient (n=722) Minor transient (n=573) Cancer-associated (n=195) Unprovoked (1965) Women (361) Men (361) OR (95% CI) Women (346) Men (227) OR (95% CI) Women (79) Men (116) OR (95% CI) Women (837) Men (1128) OR (95% CI) One-year follow-up, n (N%)   Recurrent VTE, 21 (6.2) 10 (2.9) 0.46 (0.2; 0.9) 9 (2.7) 12 (5.4) 2.09 (0.9; 5.0) 6 (8.0) 5 (4.5) 0.54 (0.2; 1.9) 38 (4.7) 53 (4.7) 1.03 (0.7; 1.6)   Major bleeding, 6 (1.8) 5 (1.5) 0.83 (0.3; 2.7) 5 (1.5) 1 (0.5) 0.30 (0.1; 2.6) 1 (1.3) 3 (2.7) 2.07 (0.2; 20) 10 (1.2) 15 (1.4) 1.11 (0.6; 2.4)   All-cause death, 37 (10.2) 31 (8.5) 0.82 (0.5; 1.4) 10 (2.9) 14 (6.2) 2.21 (0.9; 5.1) 26 (32.9) 49 (42.2) 1.49 (0.8; 2.7) 33 (3.9) 30 (2.7) 0.66 (0.4; 1.1) Conclusions The proportion of patients with recurrent VTE events after first acute symptomatic VTE provoked by transient risk factors was not negligible during the first year of follow-up during in both women and men. These results may have implications on the decision whether to consider extended anticoagulant therapy in selected patients with provoked events. Acknowledgement/Funding This study was funded by Daiichi Sankyo.

The impact of heart health promotion on coronary heart disease lifestyle risk factors in schoolchildren

Public Health ◽  
1997 ◽  
Vol 111 (4) ◽  
pp. 231-237
Author(s):  
AP Baxter ◽  
PC Milner ◽  
S Hawkins ◽  
M Leaf ◽  
C Simpson ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Promotion ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Heart Health ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk ◽  
The Impact

scholarly journals Is lifestyle change around retirement associated with better physical performance in older age?: insights from a longitudinal cohort

2021 ◽  
Author(s):  
Sian M. Robinson ◽  
Leo D. Westbury ◽  
Kate Ward ◽  
Holly Syddall ◽  
Rachel Cooper ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Physical Performance ◽  
Leisure Time Physical Activity ◽  
Lifestyle Change ◽  
Performance Outcomes ◽  
Older Age ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk ◽  
The Impact

AbstractA growing evidence base links individual lifestyle factors to physical performance in older age, but much less is known about their combined effects, or the impact of lifestyle change. In a group of 937 participants from the MRC National Survey of Health and Development, we examined their number of lifestyle risk factors at 53 and 60–64 years in relation to their physical performance at 60–64, and the change in number of risk factors between these ages in relation to change in physical performance. At both assessments, information about lifestyle (physical activity, smoking, diet) was obtained via self-reports and height and weight were measured. Each participant’s number of lifestyle risk factors out of: obesity (body mass index ≥ 30 kg/m2); inactivity (no leisure time physical activity over previous month); current smoking; poor diet (diet quality score in bottom quarter of distribution) was determined at both ages. Physical performance: measured grip strength, chair rise and standing balance times at both ages and conditional change (independent of baseline) in physical performance outcomes from 53 to 60–64 were assessed. There were some changes in the pattern of lifestyle risk factors between assessments: 227 (24%) participants had fewer risk factors by age 60–64; 249 (27%) had more. Reductions in risk factors were associated with better physical performance at 60–64 and smaller declines over time (all p < 0.05); these associations were robust to adjustment. Strategies to support reduction in number of lifestyle risk factors around typical retirement age may have beneficial effects on physical performance in early older age.

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