scholarly journals The impact of risk factors for dementia in China

2020 ◽  
Vol 49 (5) ◽  
pp. 850-855 ◽  
Author(s):  
Yingxu Liu ◽  
Shu Zhang ◽  
Yasutake Tomata ◽  
Dieta Nurrika ◽  
Yumi Sugawara ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Chinese Population ◽  
Physical Inactivity ◽  
Population Attributable Fraction ◽  
Cross Sectional ◽  
National Surveys ◽  
Low Education ◽  
The Impact ◽  
Incidence Of Dementia

Abstract Brief summary We evaluated the impact of seven risk factors for dementia in China. Physical inactivity, midlife hypertension and low education are proposed to be the largest fraction contributors to dementia. 55% of dementia were attributable to one or more of the seven risk factors. Background Previous studies have highlighted the impact of seven risk factors (midlife obesity, physical inactivity, smoking, low education, diabetes mellitus, midlife hypertension and depression) against dementia. However, the impact of these risk factors on dementia has not been evaluated among the Chinese population. Objective To clarify the impact of seven major risk factors on the incidence of dementia in China. Design The prevalence of risk factors was derived from the latest national surveys. Relative risks of corresponding risk factors were derived from the latest cohort or cross-sectional studies. Setting and subjects Three national surveys were included in the present study to obtain prevalence data of seven risk factors: the China Chronic Disease and Risk Factor Surveillance Survey (CCDRFSS) (2013), which covered about 170,000 adults (aged ≥18 years) from 31 provinces; (2) China National Survey of Chronic Kidney Disease (CNSCKD) (2010), which covered about 50,000 adults (aged ≥18 years) from 13 provinces; and (3) China Family Panel Studies Survey (CFPSS) (2012), which covered about 30,000 adults (aged ≥18 years) from 25 provinces. Methods Levin’s formula was used to calculate the population attributable fraction (PAF) for each risk factor for dementia. The combined PAF of the seven risk factors was calculated assuming the independence of each risk factor. Results Physical inactivity (PAF, 24.3%), midlife hypertension (PAF, 22.1%) and low education (PAF: 11.9%) were the top three factors that contributed to dementia. The total PAF of the seven risk factors was 55% in the Chinese population. Conclusions promotion of physical activity, control of hypertension and improvement of nationwide educational level may be helpful public health strategies to decrease the incidence of dementia in China.

scholarly journals The Risk Factors for Diabetic Retinopathy in a Chinese Population: A Cross-Sectional Study

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Qingmin Sun ◽  
Yali Jing ◽  
Bingjie Zhang ◽  
Tianwei Gu ◽  
Ran Meng ◽  
...  
Keyword(s):  
Risk Factors ◽  
Diabetic Retinopathy ◽  
Risk Factor ◽  
Chinese Population ◽  
Independent Risk Factor ◽  
Diabetes Duration ◽  
Sex Hormone Binding Globulin ◽  
Fundus Photography ◽  
Cross Sectional ◽  
Serum Lh

Aims. Epidemiological data on diabetic retinopathy (DR) in Chinese population is still rather scarce, and risk factors for diabetic retinopathy are inconsistent because of study designs, grading standards, and population samples. Materials and Methods. This hospital-based retrospective study included 1052 type 2 diabetes patients. Diabetic retinopathy was diagnosed by nonmydriatic fundus photography and/or fundus examination apparatus. Logistic regression analysis was performed to evaluate the risk of diabetic retinopathy. Results. A total of 352 (33.5% prevalence) subjects were diagnosed with diabetic retinopathy based on our population. The patients in the DR group not only had significantly higher hemoglobin A1c (HbA1c), fasting plasma glucose (FPG), urinary microalbumin-creatinine ratio (ACR), and systolic blood pressure but also had higher follicle-stimulating hormone (FSH), luteinizing hormone (LH), and sex hormone-binding globulin (SHBG) levels compared to those in the non-DR group. Moreover, we confirmed that diabetes duration and HbA1c are strongly associated with DR risk. We also found that serum LH was an independent risk factor in male diabetic retinopathy patients ( OR = 1.086 , 95% CI 1.024–1.152), and the levels of LH were significantly associated with diabetic retinopathy prevalence ( P = 0.018 ). Conclusions. Our study strengthens the argument that diabetes duration and HbA1c are risk factors for patients with DR. Additionally; we firstly confirmed that serum LH was an independent risk factor in male diabetic retinopathy patients.

scholarly journals The Effect of Sex and Wealth on Population Attributable Risk Factors for Dementia in South Africa

2021 ◽  
Vol 12 ◽  
Author(s):  
Kirsten Bobrow ◽  
Tina Hoang ◽  
Deborah E. Barnes ◽  
Raquel C. Gardner ◽  
Isabel E. Allen ◽  
...  
Keyword(s):  
Risk Factors ◽  
South Africa ◽  
Risk Factor ◽  
Social Determinants Of Health ◽  
Social Isolation ◽  
Social Determinants ◽  
Physical Inactivity ◽  
Modifiable Risk Factors ◽  
Dementia Risk ◽  
Low Education

Background and Aims: South Africa is a middle-income country with high levels of income inequality and a rapidly aging population and increasing dementia prevalence. Little is known about which risk factors for dementia are important and how they differ by social determinants of health as well as key demographic characteristics such as sex and wealth. We sought to calculate the population attributable risks (PARs) for established potentially modifiable risk factors for dementia among these different groups.Methods: We obtained risk factor prevalence from population-based surveys for established dementia risk factors (diabetes, midlife hypertension, midlife obesity, physical inactivity, depression, smoking, low educational attainment, social isolation). We used relative risk estimates reported in previous meta-analyses and estimated PARs using Levin's formula and accounting for communality. We tested for one-way and two-way interactions by sex and wealth using Pearson's χ2. In stratified analyses, we performed tests for trend using logistic regression.Results: The prevalence of established risk factors for dementia ranged from 5% for depression to 64% for low education. After accounting for communality, the risk factors contributing the greatest PAR were low education (weighted PAR 12%, 95% CI 7% to 18%), physical inactivity (9, 5–14%), and midlife hypertension (6, 5–14%). Together, 45% of dementia cases may be attributable to modifiable risk factors (95% CI 25–59%). We found significant interactions (p < 0.005) between sex, wealth, or both (sex * wealth) and each risk factor except social isolation and physical activity. Low education was inversely associated with wealth in both male and female. The PAR for midlife hypertension, obesity, and diabetes was associated with increasing wealth, and was higher in female. In contrast, the PAR for smoking was higher in male (8% vs. 2%) and was associated with increasing wealth among female only. We found that either a strategy of large reductions in selected risk factors with the highest PAR (midlife hypertension, smoking, physical inactivity) or small reductions across all risk factors could potentially reduce dementia cases by as many as 250,000 by 2050.Discussions: The potential impact on dementia risk by decreasing exposure to established dementia risk factors is large and differs by sex and social determinants of health like wealth. Risk factor PAR should inform national and local health policy dementia initiatives in South Africa including which risk factors to target in the whole population and which to target in high-risk groups for maximum public health benefit.

scholarly journals Burden of cancers attributable to modifiable risk factors in Malaysia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
H. S. Teh ◽  
Y. L. Woon
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Tobacco Smoking ◽  
Physical Inactivity ◽  
Alcohol Intake ◽  
Population Attributable Fraction ◽  
Excess Weight ◽  
Modifiable Risk Factors ◽  
Systematic Assessment ◽  
Two Parameters

Abstract Background This is a systematic assessment of the burden of cancers in Malaysia in 2018 using epidemiologic approach. The purpose of this study was to identify the proportion of cancers in Malaysia that were attributable to the modifiable risk factors of excess weight, alcohol intake, physical inactivity, tobacco smoking and to estimate the number of cancer cases that could be prevented if the exposure to the modifiable risk factor was reduced. Methods We estimated the Population Attributable Fraction (PAF) of the modifiable risk factors to cancers incidences in Malaysia. The two parameters used for the estimation were exposure prevalence from national representative surveys and the relative risk of getting the cancers from worldwide literature review. Results Among 38,426 cancer incidences in 2018 from Globocan data, we estimated that 22.2% (95% confidence interval (CI):14.9 to 29.6%) of the cancer incidences included in this study were attributable to the investigated modifiable risk factors. 39.1% (95% CI:27.2 to 49.7%) and 10.5% (95% CI:5.8 to 15.7%) of cancers in male and female respectively, were attributable to the studied modifiable risk factors. The top main cancers attributed by the risk factors were lung cancer (65.1%; 95% CI:56.4 to 72.9%), laryngeal cancer (63.6%; 95% CI:39.9 to 80.5%), and oesophageal cancer (51.5%; 95% CI:39.9 to 62.0%). For each risk factor studied across genders, tobacco smoking contributed the most (14.3%; 95% CI:9.9 to 17.3%), followed by excess weight (7.0%; 95% CI:4.1 to 10.2%), physical inactivity (1.0%; 95% CI:0.4 to 1.7%) and alcohol intake (0.6%; 95% CI:0.2 to 1.0%). Conclusion Findings from this study suggests that tobacco smoking and excess weight are the two predominant factors out of the four studied risk factors for cancer cases in Malaysia. Nationwide public health prevention campaigns tailored to these risk factors are recommended. However, the other risk factors such as physical inactivity and alcohol intake shall not be neglected. PAFs are estimated based on the best available data that we have currently. Regular collection of other risk factor exposure prevalence data is vital for future analyses.

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 Sex differences of cardiovascular risk factors in patients with symptomatic carotid disease

2013 ◽  
Vol 141 (11-12) ◽  
pp. 758-763 ◽  
Author(s):  
Milos Maksimovic ◽  
Hristina Vlajinac ◽  
Djordje Radak ◽  
Jelena Marinkovic ◽  
Jadranka Maksimovic ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sex Differences ◽  
Physical Inactivity ◽  
Serum Uric Acid Level ◽  
Anthropometric Parameters ◽  
Carotid Disease ◽  
Cross Sectional ◽  
Symptomatic Carotid ◽  
Low Education ◽  
Atherosclerotic Risk Factors

Introduction. Cardiovascular diseases, especially heart disease and stroke are the cause of more than a half of the total number of deaths in Serbia. Objectives. The aim of the present study was to determine sex differences of atherosclerotic risk factors in patients with symptomatic carotid disease. Methods. The cross-sectional study, involving 657 consecutive patients with verified carotid atherosclerotic disease, was performed in Belgrade, Serbia. Sex differences of anthropometric parameters and atherosclerotic risk factors were analyzed by means of the univariate logistic regression. Results. In comparison with men, lower education and physical inactivity were significantly more frequent in women, and the frequency of metabolic syndrome (MetS), lower high-density cholesterol, abdominal obesity, body mass index ?30.0 kg/m2, hypercholesterolemia and depression were also significantly higher in women. Smoking and high serum uric acid level were significantly more frequent in men than in women. Women had significantly higher number of MetS components per person, but there were no significant sex differences in the number of other risk factors. Out of all observed risk factors, including MetS components, physical inactivity and hypertension were most frequent in both sexes followed by ever smoking and low education in men and low education and dyslipidemia in women. Conclusion. There were significant sex differences in the distribution of some atherosclerotic risk factors, but not in their number per person. Only the number of MetS components was significantly higher in women.

scholarly journals AWARENESS OF RISK FACTORS OF DIABETES AND PRACTICES REGARDING ITS PREVENTION AMONG THE ADOLESCENTS

2014 ◽  
Vol 04 (01) ◽  
pp. 079-082
Author(s):  
Salman Ansari ◽  
Shreyas Samaga ◽  
Shrihari Rao ◽  
Suraj Gowda ◽  
Tariq Mohammed ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Physical Inactivity ◽  
Population Based ◽  
Early Age ◽  
Age Group ◽  
Community Based ◽  
Cross Sectional ◽  
The World ◽  
University Colleges

Abstract: Introduction: India leads the world with largest number of diabetic subjects, and hence also termed as the Diabetic Capital of the world. Education is the cornerstone of diabetes prevention. Because of lack of awareness, most people suffer from diabetes at an early age. Before population-based interventions can be implemented, an assessment of knowledge and awareness of risk factors for Diabetes and practices to prevent it among adolescents is needed. Aims & Objectives: To estimate the prevalence of risk factors of diabetes and the practices regarding its prevention among the adolescents Materials and Method: The study was community based cross sectional type. A reviewed, self-prepared questionnaire consisting of questions based on the awareness of the risk factors and the practices regarding its prevention was prepared. Data was collected from 600 adolescents of age group 16-18years. Students from 4 pre-university colleges in Mangalore, Dakshina Kannada district, were selected as the study group. Results: 433% were aware that smoking was a risk factor for diabetes. 48.33% of students said that consumption of sweets can lead to diabetes. 8.66% of students agreed that mental stress can lead to diabetes. Physical inactivity, as a risk factor for diabetes was known by 7.33% of them. Only 5.5% and 5.33% of students were aware that family history and obesity respectively, can lead to diabetes. 93.67% of the students have not had themselves tested for diabetes. 99.16% of subjects are non-smokers. 98.16% do not consume alcohol. 53.67% do not exercise regularly.

scholarly journals Dysglycemic states and hypertension: A relationship dependent on low-grade inflammation

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 1953
Author(s):  
Juan Salazar ◽  
Valmore Bermúdez ◽  
Wheeler Torres ◽  
Víctor Arias ◽  
María Sofía Martínez ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Adult Population ◽  
Multiple Logistic Regression Analysis ◽  
Population Sample ◽  
High Sensitivity ◽  
Low Grade ◽  
Cross Sectional ◽  
The Impact ◽  
Low Grade Inflammation

Background: Hypertension (HTN) is a prominent cardiovascular risk factor, affecting over 1 billion people worldwide. Identification of closely associated cardiometabolic conditions may be crucial for its early detection. The objective of this study was to identify factors associated with HTN and prehypertension (PHT) in an adult population sample from Maracaibo City, Venezuela. Methods: A randomized multi-staged sampling cross-sectional study was performed in 2230 individuals from Maracaibo City Metabolic Syndrome Prevalence Study database. PHT and HTN were defined according to JNC-7 criteria. Multiple logistic regression analysis was used to assess the main risk factors for each condition. Results: 52.6% (n=1172) of the subjects were female, the prevalence of HTN was 32% (n=714), while the prevalence of PHT was 31.1% (n=693). The main risk factors for HTN were age ≥60 years (odds ratio [OR]: 40.99; 95%CI: 16.94-99.19; p<0.001) and the local indigenous ethnic group (OR: 3.06; 95%CI: 1.09-8.62; p=0.03). Adjustment for high sensitivity C-reactive protein levels increased the OR of these factors and diminished the impact of other factors. Meanwhile, age ≥60 years (OR: 3.39; 95%CI: 1.41-8.18; p=0.007) and alcohol consumption (OR: 1.49; 95%CI: 1.06-2.00; p=0.02) were the main risk factors for PHT. Conclusion: There are significant differences in the risk factor profiles for HTN and PHT. Additionally, low-grade inflammation appears to link multiple metabolic factors and preexisting vascular characteristics.

scholarly journals The prevalence of risk factors associated with non-communicable diseases in Afghan refugees in southern Iran: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Erfan Taherifard ◽  
Mohammad Javad Moradian ◽  
Ehsan Taherifard ◽  
Abdolrasool Hemmati ◽  
Behnaz Rastegarfar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Tobacco Smoking ◽  
Physical Inactivity ◽  
Vegetable Intake ◽  
Vegetable Consumption ◽  
Communicable Diseases ◽  
Cross Sectional ◽  
Non Communicable Diseases ◽  
Afghan Refugees ◽  
Southern Iran

Abstract Background Refugees are highly vulnerable to many health-related risks. Monitoring non-communicable diseases (NCDs) is of overriding importance in these populations. This study aimed to investigate the prevalence of risk factors for NCDs amongst Afghan refugees in a refugee camp located in southern Iran. Methods This cross-sectional sturdy was conducted in 2018. Risk factors such as inadequate nutrition, physical inactivity, tobacco smoking, obesity and overweight, hypertension (HTN), elevated fasting plasma glucose (FPG), and dyslipidaemia were assessed. Data were gathered with a modified WHO STEPS procedure. Prevalence and age-standardized prevalence and their 95% confidence intervals (CI) were estimated. Results The estimated prevalence were 94% for inadequate fruit/vegetable consumption, 18% for physical inactivity, 9% for tobacco smoking, 3% for FPG, 20% for HTN, 51% for central obesity, 24% for overweight, 19% for obesity, and 69% for dyslipidaemia. Conclusions Except for inadequate fruit and vegetable intake and dyslipidaemia, the prevalence of other NCD risk factors was low among Afghan refugees in Iran. Raising awareness about healthy diet and its importance and the provision of more affordable fruit and vegetables are two effective measures toward improving the health of refugees in Iran.

scholarly journals Poor Adherence to the Screening-Based Strategy of Group B Streptococcus Despite Colonization of Pregnant Women in Greece

Pathogens ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 418
Author(s):  
Maria Maroudia Berikopoulou ◽  
Aikaterini Pana ◽  
Theodota Liakopoulou-Tsitsipi ◽  
Nikos F. Vlahos ◽  
Vasiliki Papaevangelou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Pregnant Women ◽  
Late Onset ◽  
Group B Streptococcus ◽  
Culture Collection ◽  
Carrier Status ◽  
Cross Sectional ◽  
Screening Guidelines ◽  
Group B

Group B streptococcus (GBS) is a leading cause of serious neonatal infections. Maternal GBS colonization is associated with early- and late-onset neonatal disease (EOD/LOD). In Greece, a screening-based strategy is recommended, in which concurrent vaginal-rectal cultures should be obtained between 36 0/7 and 37 6/7 weeks’ gestation. We sought to examine the level of adherence to the GBS screening guidelines and estimate the prevalence of GBS colonization among pregnant women. Although in Greece the screening-based strategy is followed, we also examined known EOD risk factors and linked them to GBS colonization. A cross-sectional study of 604 women postpartum in three hospitals and maternity clinics was conducted. Following written informed consent, data were collected via a short self-completed questionnaire and review of patients’ records. In 34.6% of the enrolled pregnant women, no culture had been taken. Of the remaining, 12.8% had proper vaginal-rectal sample collections. The overall maternal colonization rate was 9.6%. At least one risk factor for EOD was identified in 12.6% of participants. The presence of risk factors was associated with positive cultures (p = 0.014). The rate of culture collection did not differ between women with or without an EOD risk factor. Adherence to a universal screening of pregnant women with vaginal-rectal cultures was poor. Despite probable underestimation of GBS carrier status, almost 1 in 10 participants were GBS positive during pregnancy. Screening of women with risk factors for EOD should, at least, be prioritized to achieve prevention and prompt intervention of EOD.

scholarly journals Estimating the burden of cardiovascular risk in community dwellers over 40 years old in South Africa, Kenya, Burkina Faso and Ghana

2021 ◽  
Vol 6 (1) ◽  
pp. e003499
Author(s):  
Ryan G Wagner ◽  
Nigel J Crowther ◽  
Lisa K Micklesfield ◽  
Palwende Romauld Boua ◽  
Engelbert A Nonterah ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
South African ◽  
Sub Saharan Africa ◽  
African Countries ◽  
Cvd Risk ◽  
Genomic Studies ◽  
Sub Saharan ◽  
Context Specific ◽  
The Impact

IntroductionCardiovascular disease (CVD) risk factors are increasing in sub-Saharan Africa. The impact of these risk factors on future CVD outcomes and burden is poorly understood. We examined the magnitude of modifiable risk factors, estimated future CVD risk and compared results between three commonly used 10-year CVD risk factor algorithms and their variants in four African countries.MethodsIn the Africa-Wits-INDEPTH partnership for Genomic studies (the AWI-Gen Study), 10 349 randomly sampled individuals aged 40–60 years from six sites participated in a survey, with blood pressure, blood glucose and lipid levels measured. Using these data, 10-year CVD risk estimates using Framingham, Globorisk and WHO-CVD and their office-based variants were generated. Differences in future CVD risk and results by algorithm are described using kappa and coefficients to examine agreement and correlations, respectively.ResultsThe 10-year CVD risk across all participants in all sites varied from 2.6% (95% CI: 1.6% to 4.1%) using the WHO-CVD lab algorithm to 6.5% (95% CI: 3.7% to 11.4%) using the Framingham office algorithm, with substantial differences in risk between sites. The highest risk was in South African settings (in urban Soweto: 8.9% (IQR: 5.3–15.3)). Agreement between algorithms was low to moderate (kappa from 0.03 to 0.55) and correlations ranged between 0.28 and 0.70. Depending on the algorithm used, those at high risk (defined as risk of 10-year CVD event >20%) who were under treatment for a modifiable risk factor ranged from 19.2% to 33.9%, with substantial variation by both sex and site.ConclusionThe African sites in this study are at different stages of an ongoing epidemiological transition as evidenced by both risk factor levels and estimated 10-year CVD risk. There is low correlation and disparate levels of population risk, predicted by different risk algorithms, within sites. Validating existing risk algorithms or designing context-specific 10-year CVD risk algorithms is essential for accurately defining population risk and targeting national policies and individual CVD treatment on the African continent.

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