scholarly journals Lifestyle risk Factors for early versus late onset dementia: A systematic review and meta-analysis

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
N Berselli ◽  
G Adani ◽  
T Filippini ◽  
M Vinceti
Keyword(s):  
Risk Factors ◽  
Brain Injuries ◽  
Age Of Onset ◽  
Late Onset ◽  
Meta Analysis ◽  
Lifestyle Risk Factors ◽  
Modifiable Factors ◽  
Lifestyle Risk ◽  
The Impact ◽  
Late Onset Dementia

Abstract Background Dementia is a widely prevalent and growing condition, affecting nearly 10% of people aged 60 years and older. It is a leading cause of disability entailing important economic and social costs for the population, so much so that it has been defined as a “global public health priority' from WHO in 2016. Dementia can be divided into two forms according to age of onset of the first symptoms: Early Onset Dementia (EOD - < 65 years) and Late Onset Dementia (LOD, ≥ 65 years). The differences between the two forms, and if they could be considered as separate diseases, are still not well understood. The aim of this meta-analysis was to determine if environmental-lifestyle risk factors of dementia may differ between EOD and LOD. Methods Literature databases were searched to June 2020, to retrieve studies assessing the impact of modifiable factors in patients who had developed the first symptoms of dementia before (for EOD) or after (for LOD) 65 years. Data were then meta-analysed in order to understand the overall impact of the single factors on EOD and LOD separately. Results The results show different effects for some risk factors as alcohol consumption (OR 2.8, 95%CI: 2.2-3.4 for EOD and OR 1.2, 95%CI: 0.9-1.5 for LOD) and brain injuries (OR 1.4, 95%CI: 1.2-1.6 for EOD, and OR 1, 95%CI: 0.6-1.4 for LOD), which appear to have more impact on EOD compared with LOD. No association with smoking for both forms of dementia emerged. The other factors considered, such as low educational attainment, socio-economic status, closeness of magnetic field, appear to have similar impact on the two forms of dementia. Conclusions These results suggest that there may be a difference, in terms of modifiable risk factors, between the two forms of dementia, even if more research is needed on this issue. Key messages There may be different risk factors determining EOD versus LOD onset. By modifying some environmental and lifestyle factors we could delay or prevent the onset of dementia.

scholarly journals Attributable risk fraction of four lifestyle risk factors of thyroid cancer: a meta-analysis

2017 ◽  
Vol 40 (2) ◽  
pp. e91-e98 ◽  
Author(s):  
Hajar Sadeghi ◽  
Mohammad Rafei ◽  
Masoud Bahrami ◽  
AliAkbar Haghdoost ◽  
Yazdan Shabani
Keyword(s):  
Risk Factors ◽  
Thyroid Cancer ◽  
Meta Analysis ◽  
Attributable Risk ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk

scholarly journals Risk Factors for Gestational Diabetes Mellitus in a Large Population of Women Living in Spain: Implications for Preventative Strategies

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Ana M. Ramos-Leví ◽  
Natalia Pérez-Ferre ◽  
M. Dolores Fernández ◽  
Laura del Valle ◽  
Elena Bordiu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intervention Studies ◽  
Large Population ◽  
Behavioral Characteristics ◽  
Risk Appraisal ◽  
Processed Meats ◽  
Factors Associated ◽  
Lifestyle Risk Factors ◽  
Modifiable Factors ◽  
Lifestyle Risk

The aim of this study is to establish a risk appraisal model for GDM by identifying modifiable factors that can help predict the risk of GDM in a large population of 2194 women living in Spain. They were recruited between 2009-2010 when screening for GDM was performed. Participants completed a questionnaire on socio-demographic, anthropomorphic and behavioral characteristics, and reproductive and medical history. A total of 213 (9.7%) women were diagnosed as having GDM. Age, pregestational body weight (BW) and body mass index (BMI), and number of events of medical, obstetric and family history were significantly associated with GDM. After logistic regression model, biscuits and pastries intake <4 times/week, red and processed meats intake <6 servings/week, sugared drinks <4 servings/week, light walking >30 minutes/day, and 30 minutes/day of sports at least 2 days/week, compared with opposite consumption, was associated with less GDM risk. Our study identified several pregestational modifiable lifestyle risk factors associated with an increase in the risk of developing GDM. This may represent a promising approach for the prevention of GDM and subsequent complications. Further intervention studies are needed to evaluate if this appraisal model of risk calculation can be useful for prevention and treatment of GDM.

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.

scholarly journals The Prevalence of Some Lifestyle Risk Factors, Negatively Affecting the Health of High School Students

2018 ◽  
Vol 9 (2) ◽  
pp. 49-54 ◽  
Author(s):  
Vadim K. Iurev ◽  
Pavel G. Zhirkov
Keyword(s):  
Risk Factors ◽  
High School ◽  
High School Students ◽  
Health Workers ◽  
Healthy Lifestyle ◽  
School Students ◽  
Prolonged Stay ◽  
Lifestyle Risk Factors ◽  
Lifestyle Risk ◽  
The Impact

Important role in shaping the health of adolescents is played by the environmental factors and lifestyle, the influence of which they are exposed to a greater degree than adults. At the same time, adolescents have not yet formed attitudes to conscious attitude to their health, extremely low medical activity, which exacerbates the impact of risk factors on their health. The aim of the study was to assess the awareness of high school students about the risk factors of lifestyle that adversely affect health, and their prevalence among adolescents. To achieve this goal on a specially designed statistical forms conducted an anonymous survey of 325 boys enrolled in high school four secondary schools in the city of Yakutsk. It was found that high school students are quite well informed about most lifestyle risk factors that have an impact on health. At the same time, in the way of life of many young men (73,9 ± 2,4 of 100) there is at least one risk factor that adversely affects health. Among the risk factors for health in high school students of Yakutsk are more common: prolonged stay at the computer, sleep, excessive consumption of food with high carbohydrate content, small stay in the fresh air, long additional classes, low physical activity. In this regard, it is now a very important task of school, family, health workers is to create in adolescents’ belief in the need to maintain a healthy lifestyle, the formation of a cult of health.

O-186 From knowing to helping-seeking: An examination of FertiSTAT and infertility-related treatment behaviours among Chinese female in Hong Kong

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Y K G So ◽  
C H Y Chan
Keyword(s):  
Risk Factors ◽  
Hong Kong ◽  
Health Risks ◽  
Perceived Susceptibility ◽  
Lifestyle Risk Factors ◽  
Age Related ◽  
Lifestyle Risk ◽  
Reproductive Aged Women ◽  
The Impact ◽  
Underlying Risk

Abstract Study question Do fertility health risks predict Hong Kong Chinese women’s perceived susceptibility to infertility and engagement in treatment behaviours? Summary answer Presence of age-related, medical and lifestyle risk factors did not translate into actual infertility-related treatment behaviours among reproductive-aged women. What is known already The Health Belief Model posits that perceived susceptibility to a health condition determines whether one would engage in risk-reducing behaviour. There is yet to be large-scale studies that investigate the rate of fertility health risks among Hong Kong Chinese women. FertiSTAT is an empirically-derived tool that assesses risks to female fertility and provides personalised guidance on risk reduction. Using a Chinese version of the FertiSTAT, this study investigates the fertility risk profile of reproductive-aged women, for whom timely treatment-seeking would be especially pertinent. Additionally, we explore whether fertility health risks translate into awareness of personal susceptibility and actual treatment behaviours. Study design, size, duration This is a cross-sectional online survey conducted in Hong Kong between July and August 2020. Participants/materials, setting, methods Five-hundred twenty-nine childless women (mean age = 29±6.6) were recruited to the study through community network and social media. Respondents completed the fertility status awareness tool (FertiSTAT) and questions relating to reproductive intention and help-seeking behaviour. Logistic regression analyses were conducted to explore the impact of lifestyle-, medical- and age-related fertility health risks on perceived susceptibility and infertility-related treatment behaviours. Main results and the role of chance The fertility health risks most frequently reported by this sample of women were menstrual cycle irregularity (35%) and having stress one cannot cope with (26%). Among women who were trying to conceive (n = 67), 40% had been trying for over 12 months, exceeding the critical threshold for risks of infertility. More than one third of women suspected that they had an underlying risk of infertility, however only a small minority had ever taken steps to investigate the issue further by seeking medical support. Binary logistic regression revealed that women who experienced severe menstrual pains (B=-2.70, P&lt;.05) or who had excessive caffeine consumption (B=-3.27, P&lt;.05) were less likely to suspect that they had an underlying risk of infertility compared to when they had other risk factors. Prolonged time trying to conceive (B = 1.52, P&lt;.05) significantly predicted seeking gynaecological exam; whereas none of the fertility health risks had an impact on seeking medical consultation from a TCM practitioner. Limitations, reasons for caution Recruitment through social media may bias the sample towards women with greater access to online fertility-related information, posing questions on how generalizable the current findings are to less resourceful individuals. The relatively young age of the sample may also underestimate the rate of fertility health risks in the population. Wider implications of the findings Targeted public education initiatives are needed to raise awareness of the impact of not only age-related, but also medical and lifestyle risk factors on reproductive potential. Reproductive-aged women with fertility health risks should be alarmed of suspected infertility and be encouraged to seek proper medical examinations and treatments. Trial registration number not applicable

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