scholarly journals Erratum to: Increased risk of tumor in DM1 is not related to exposure to common lifestyle risk factors

2016 ◽  
Vol 263 (3) ◽  
pp. 499-499 ◽  
Author(s):  
Maria Laura Ester Bianchi ◽  
Emanuele Leoncini ◽  
Marcella Masciullo ◽  
Anna Modoni ◽  
Shahinaz M. Gadalla ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lifestyle Risk Factors ◽  
Increased Risk ◽  
Lifestyle Risk

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.

Interaction of Apolipoprotein E Genotypes, Lifestyle Factors and Future Risk of Dementia-Related Mortality: The Cohort of Norway (CONOR)

2015 ◽  
Vol 40 (3-4) ◽  
pp. 137-147 ◽  
Author(s):  
Bjørn Heine Strand ◽  
Tor Atle Rosness ◽  
Knut Engedal ◽  
Per Magnus ◽  
Astrid Liv Mina Bergem ◽  
...  
Keyword(s):  
Risk Factors ◽  
Apolipoprotein E ◽  
Healthy Lifestyle ◽  
Lifestyle Risk Factors ◽  
Increased Risk ◽  
Apolipoprotein E Genotypes ◽  
Lifestyle Risk ◽  
Apoe Genotypes ◽  
Nested Case Control ◽  
Related Mortality

Background/Aims: Our aims were two-fold: firstly, to investigate the association and interaction between apolipoprotein E (ApoE), lifestyle risk factors and dementia-related mortality and, secondly, to examine if using dementia-related mortality yielded comparable risk estimates for the ApoE genotypes as reported in studies using a clinical dementia diagnosis as the end point. Methods: We used a nested case-control study with 561 cases drawn from dementia deaths in the Cohort of Norway (CONOR) and 584 alive controls. Results: ApoE ε4 carriers were at increased risk of dementia-related mortality compared to noncarriers [odds ratio (OR) 2.46, 95% confidence interval (CI) 1.93-3.13], and ε4 homozygotes were at particularly high risk (OR 7.86, 95% CI 3.80-13.8), while the ε2 type was associated with a lower risk. The highest risk of dementia-related mortality was found among ε4 carriers with more lifestyle risk factors (ε4 carriers who were smokers, hypertensive, physically inactive and diabetics) versus ε4 noncarriers without lifestyle risk factors (OR 15.4, 95% CI 4.37-52.4). The increased risk was additive, not multiplicative. Conclusions: Ensuring a healthy lifestyle is important to be able to prevent dementia in populations at large, but especially for ε4 carriers. Using dementia mortality gives comparable results for the ApoE-dementia association as studies using clinical dementia diagnoses.

High antibody levels against human herpesvirus-6A interact with lifestyle factors in multiple sclerosis development

2021 ◽  
pp. 135245852110220
Author(s):  
Jing Wu ◽  
Elin Engdahl ◽  
Rasmus Gustafsson ◽  
Anna Fogdell-Hahn ◽  
Tim Waterboer ◽  
...  
Keyword(s):  
Risk Factors ◽  
Multiple Sclerosis ◽  
Human Herpesvirus ◽  
Environmental Exposures ◽  
Lifestyle Factors ◽  
Lifestyle Risk Factors ◽  
Increased Risk ◽  
Lifestyle Risk ◽  
Antibody Levels ◽  
Potential Interactions

Background: Infection with human herpesvirus 6A (HHV-6A) has been suggested to increase multiple sclerosis (MS) risk. However, potential interactions between HHV-6A and environmental/lifestyle risk factors for MS have not previously been studied. Methods: We used two Swedish population-based case-control studies comprising 5993 cases and 5995 controls. Using logistic regression models, subjects with different HHV-6A antibody levels, environmental exposures, and lifestyle habits were compared regarding MS risk, by calculating odds ratios (ORs) with 95% confidence intervals (CIs). Potential interactions between high HHV-6A antibody levels and common environmental exposures and lifestyle factors were evaluated on the additive scale. Results: High HHV-6A antibody levels were associated with increased risk of developing MS (OR = 1.5, 95% CI = 1.4–1.6). Regarding MS risk, significant interactions were observed between high HHV-6A antibody levels and both smoking (attributable proportion (AP) = 0.2, 95% CI = 0.1–0.3), low ultraviolet radiation (UVR) exposure (AP = 0.3, 95% CI = 0.1–0.4), and low vitamin D levels (AP = 0.3, 95% CI = 0.0–0.6). Conclusion: High HHV-6A antibody levels are associated with increased MS risk and act synergistically with common environmental/lifestyle risk factors for MS. Further research is needed to investigate potential mechanisms underlying the interactions presented in this study.

Lifestyle

2016 ◽  
Author(s):  
Jos Runhaar ◽  
Sita M. A. Bierma-Zeinstra
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Current Knowledge ◽  
Weight Bearing ◽  
Positive Influence ◽  
Lifestyle Risk Factors ◽  
Increased Risk ◽  
Prevalence Of Obesity ◽  
Sporting Activities ◽  
Lifestyle Risk

Modern lifestyles put a great burden on the human musculoskeletal system. Since 1980, the worldwide prevalence of obesity has tripled in many European countries. Obesity is known to affect both weight-bearing and non-weight-bearing joints due to a combination of mechanical overload and systemic inflammation. On the other hand, both to combat the obesity pandemic and to increase or maintain the quality of life, physical activity and sports are encouraged next to a healthy diet. Although both have a positive influence on cardiovascular risk factors, physical activity and especially sporting activities do lead to increased loading of the active joints and increased risk for joint injuries, which might lead to osteoarthritis development. This chapter provides an overview of the current knowledge on lifestyle risk factors for the development and progression of osteoarthritis as published in recent systematic reviews, complemented with several narrative reviews.

scholarly journals Increased risk of tumor in DM1 is not related to exposure to common lifestyle risk factors

2016 ◽  
Vol 263 (3) ◽  
pp. 492-498 ◽  
Author(s):  
Maria Laura Ester Bianchi ◽  
Emanuele Leoncini ◽  
Marcella Masciullo ◽  
Anna Modoni ◽  
Shahinaz M. Gadalla ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lifestyle Risk Factors ◽  
Increased Risk ◽  
Lifestyle Risk

Novel Machine-Learned Approach for COVID-19 Resource Allocation: A Tool for Evaluating Community Susceptibility (Preprint)

2020 ◽  
Author(s):  
Neil Kale
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Insurance Coverage ◽  
Premature Mortality ◽  
Health Insurance Coverage ◽  
Heart Attacks ◽  
Lifestyle Risk Factors ◽  
The People ◽  
Potential Risk Factors ◽  
Lifestyle Risk

BACKGROUND Despite worldwide efforts to develop an effective COVID vaccine, it is quite evident that initial supplies will be limited. Therefore, it is important to develop methods that will ensure that the COVID vaccine is allocated to the people who are at major risk until there is a sufficient global supply. OBJECTIVE The purpose of this study was to develop a machine-learning tool that could be applied to assess the risk in Massachusetts towns based on community-wide social, medical, and lifestyle risk factors. METHODS I compiled Massachusetts town data for 29 potential risk factors, such as the prevalence of preexisting comorbid conditions like COPD and social factors such as racial composition, and implemented logistic regression to predict the amount of COVID cases in each town. RESULTS Of the 29 factors, 14 were found to be significant (p < 0.1) indicators: poverty, food insecurity, lack of high school education, lack of health insurance coverage, premature mortality, population, population density, recent population growth, Asian percentage, high-occupancy housing, and preexisting prevalence of cancer, COPD, overweightness, and heart attacks. The machine-learning approach is 80% accurate in the state of Massachusetts and finds the 9 highest risk communities: Lynn, Brockton, Revere, Randolph, Lowell, New Bedford, Everett, Waltham, and Fitchburg. The 5 most at-risk counties are Suffolk, Middlesex, Bristol, Norfolk, and Plymouth. CONCLUSIONS With appropriate data, the tool could evaluate risk in other communities, or even enumerate individual patient susceptibility. A ranking of communities by risk may help policymakers ensure equitable allocation of limited doses of the COVID vaccine.

scholarly journals Changes in Health Behaviors, Mental and Physical Health among Older Adults under Severe Lockdown Restrictions during the COVID-19 Pandemic in Spain

2021 ◽  
Vol 18 (13) ◽  
pp. 7067
Author(s):  
Esther García-Esquinas ◽  
Rosario Ortolá ◽  
Iago Gine-Vázquez ◽  
José A. Carnicero ◽  
Asier Mañas ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
Older Adults ◽  
Social Isolation ◽  
Community Dwelling ◽  
Housing Conditions ◽  
Older Individuals ◽  
Lifestyle Risk Factors ◽  
Increased Risk ◽  
Lifestyle Risk

We used data from 3041 participants in four cohorts of community-dwelling individuals aged ≥65 years in Spain collected through a pre-pandemic face-to-face interview and a telephone interview conducted between weeks 7 to 15 after the beginning of the COVID-19 lockdown. On average, the confinement was not associated with a deterioration in lifestyle risk factors (smoking, alcohol intake, diet, or weight), except for a decreased physical activity and increased sedentary time, which reversed with the end of confinement. However, chronic pain worsened, and moderate declines in mental health, that did not seem to reverse after restrictions were lifted, were observed. Males, older adults with greater social isolation or greater feelings of loneliness, those with poorer housing conditions, as well as those with a higher prevalence of chronic morbidities were at increased risk of developing unhealthier lifestyles or mental health declines with confinement. On the other hand, previously having a greater adherence to the Mediterranean diet and doing more physical activity protected older adults from developing unhealthier lifestyles with confinement. If another lockdown were imposed during this or future pandemics, public health programs should specially address the needs of older individuals with male sex, greater social isolation, sub-optimal housing conditions, and chronic morbidities because of their greater vulnerability to the enacted movement restrictions.

scholarly journals The Prevalence of Insulin Resistance and the Associated Risk Factors in a Sample of 14–18-Year-Old Slovak Adolescents

2021 ◽  
Vol 18 (3) ◽  
pp. 909
Author(s):  
Jana Jurkovičová ◽  
Katarína Hirošová ◽  
Diana Vondrová ◽  
Martin Samohýl ◽  
Zuzana Štefániková ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Insulin Resistance ◽  
Venous Blood ◽  
Significant Risk ◽  
Lifestyle Changes ◽  
Skewed Distribution ◽  
Model Assessment ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

The prevalence of cardiometabolic risk factors has increased in Slovakian adolescents as a result of serious lifestyle changes. This cross-sectional study aimed to assess the prevalence of insulin resistance (IR) and the associations with cardiometabolic and selected lifestyle risk factors in a sample of Slovak adolescents. In total, 2629 adolescents (45.8% males) aged between 14 and 18 years were examined in the study. Anthropometric parameters, blood pressure (BP), and resting heart rate were measured; fasting venous blood samples were analyzed; and homeostasis model assessment (HOMA)-insulin resistance (IR) was calculated. For statistical data processing, the methods of descriptive and analytical statistics for normal and skewed distribution of variables were used. The mean HOMA-IR was 2.45 ± 1.91, without a significant sex differences. IR (cut-off point for HOMA-IR = 3.16) was detected in 18.6% of adolescents (19.8% males, 17.6% females). IR was strongly associated with overweight/obesity (especially central) and with almost all monitored cardiometabolic factors, except for total cholesterol (TC) and systolic BP in females. The multivariate model selected variables such as low level of physical fitness, insufficient physical activity, breakfast skipping, a small number of daily meals, frequent consumption of sweetened beverages, and low educational level of fathers as significant risk factors of IR in adolescents. Recognizing the main lifestyle risk factors and early IR identification is important in terms of the performance of preventive strategies. Weight reduction, regular physical activity, and healthy eating habits can improve insulin sensitivity and decrease the incidence of metabolic syndrome, type 2 diabetes, and cardiovascular disease (CVD).

scholarly journals Smoking, drinking, diet and physical activity—modifiable lifestyle risk factors and their associations with age to first chronic disease

2019 ◽  
Vol 49 (1) ◽  
pp. 113-130 ◽  
Author(s):  
Ryan Ng ◽  
Rinku Sutradhar ◽  
Zhan Yao ◽  
Walter P Wodchis ◽  
Laura C Rosella
Keyword(s):  
Risk Factors ◽  
Chronic Disease ◽  
Chronic Diseases ◽  
Lifestyle Factors ◽  
Competing Risk ◽  
Chronic Obstructive ◽  
Common Disease ◽  
Heavy Smoking ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

AbstractBackgroundThis study examined the incidence of a person’s first diagnosis of a selected chronic disease, and the relationships between modifiable lifestyle risk factors and age to first of six chronic diseases.MethodsOntario respondents from 2001 to 2010 of the Canadian Community Health Survey were followed up with administrative data until 2014 for congestive heart failure, chronic obstructive respiratory disease, diabetes, lung cancer, myocardial infarction and stroke. By sex, the cumulative incidence function of age to first chronic disease was calculated for the six chronic diseases individually and compositely. The associations between modifiable lifestyle risk factors (alcohol, body mass index, smoking, diet, physical inactivity) and age to first chronic disease were estimated using cause-specific Cox proportional hazards models and Fine-Gray competing risk models.ResultsDiabetes was the most common disease. By age 70.5 years (2015 world life expectancy), 50.9% of females and 58.1% of males had at least one disease and few had a death free of the selected diseases (3.4% females; 5.4% males). Of the lifestyle factors, heavy smoking had the strongest association with the risk of experiencing at least one chronic disease (cause-specific hazard ratio = 3.86; 95% confidence interval = 3.46, 4.31). The lifestyle factors were modelled for each disease separately, and the associations varied by chronic disease and sex.ConclusionsWe found that most individuals will have at least one of the six chronic diseases before dying. This study provides a novel approach using competing risk methods to examine the incidence of chronic diseases relative to the life course and how their incidences are associated with lifestyle behaviours.

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