scholarly journals Medication adherence, biological and lifestyle risk factors in patients with myocardial infarction: a ten-year follow-up on socially differentiated cardiac rehabilitation

2019 ◽  
Vol 37 (2) ◽  
pp. 182-190 ◽  
Author(s):  
Kathrine Hald ◽  
Finn Breinholt Larsen ◽  
Kirsten Melgaard Nielsen ◽  
Lucette Kirsten Meillier ◽  
Martin Berg Johansen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Myocardial Infarction ◽  
Medication Adherence ◽  
Cardiac Rehabilitation ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

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.

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.

Abstract P259: Genetic Risk Score, Lifestyle Cardiovascular Risk Score, and Myocardial Infarction in Hispanics

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Mercedes Sotos-Prieto ◽  
Ana Baylin ◽  
Hannia Campos ◽  
Lu Qi ◽  
Josiemer Mattei
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Myocardial Infarction ◽  
Socioeconomic Status ◽  
Risk Score ◽  
Genetic Risk ◽  
Genetic Risk Score ◽  
Lifestyle Risk Factors ◽  
Cardiovascular Risk Score ◽  
Lifestyle Risk

Background: A genetic risk score (GRS) and a lifestyle cardiovascular risk score (LCRS) have been independently associated with myocardial infarction (MI) in Hispanics. However, it is unknown if there is an interaction or a joint association between these scores. Objectives: To assess the interactive and joint associations between a GRS and a LCRS, as well as each individual lifestyle risk factor on the likelihood of MI. Methods: Data included 1534 Costa Rican adults with nonfatal acute MI and 1534 without MI participating in a case-control study. The GRS was calculated by summing the number of the top three MI-associated risk alleles. The LCRS was calculated using the estimated coefficients as weights for each lifestyle risk factors (diet, physical activity, smoking, waist:hip ratio, low or high alcohol intake, and low socioeconomic status). Conditional logistic regression was used to calculate odds ratios (OR), adjusting for age, sex, and area of residence (matching condition), and to test for interaction and joint association. Results: The multivariable OR for MI was 1.14 (95% CI 1.07, 1.22) per GRS unit and 2.72 (2.33, 3.91) per LCRS unit. Participants in the highest tertile of the GRS and highest tertile of the LCRS had higher odds of MI (5.43 [3.80, 7.76]) compared to those in the lowest category. A significant joint association was detected (p <0.0001), while the interaction term was non-significant (p=0.44). Similar results were found for the joint association between GRS and each individual lifestyle component: joint odds for highest risk category vs. lowest was 2.16 (1.53, 3.04) for diet, 1.85 (1.33, 2.59) for physical activity, 3.31 (2.45, 4.48) for smoking, 1.32 (0.92, 1.89) for alcohol, 2.84 (1.82, 4.42) for waist:hip ratio, and 1.86 (1.29, 2.69) for socioeconomic status. Conclusion: Although lifestyle risk factors and genetics contribute independently and in combination to the odds of MI, lifestyle risk factors were stronger among Costa Ricans. Efforts to improve lifestyle behaviors in this population, regardless of genetic susceptibility, may help prevent MI and related heart conditions.

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.  

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