scholarly journals Dementia Prevalence, Comorbidities, and Lifestyle Among Jatinangor Elders

2021 ◽  
Vol 12 ◽  
Author(s):  
Paulus Anam Ong ◽  
Febby Rosa Annisafitrie ◽  
Novita Purnamasari ◽  
Chandra Calista ◽  
Noveline Sagita ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Risk ◽  
Leisure Activities ◽  
Age Groups ◽  
Health Risk Factors ◽  
Dementia Prevalence ◽  
Dementia Risk ◽  
Lower Education Level ◽  
Related Risk ◽  
Prevalence Of Dementia

Introduction: Research on dementia prevalence and the potentially related risk factors from Indonesia is scarce. We sought to identify the prevalence of dementia, health risk factors, and lifestyle in Jatinangor elders.Methods: A total of 686 participants completed questionnaires on lifestyle, health risk factors, and cognitive and functional tests from September 2013 to December 2013. We determined the prevalence of dementia; and the associations between health, leisure activities, dietary pattern, and dementia were analyzed using logistic regression.Results: The prevalence of dementia was 29.15%. The risk factors differed between age groups. Those aged 60–74 years and who have a lower education level, lower occupational attainment, and less active intellectual and recreational activities were associated with higher dementia risk. Those aged > 75 years living in a rural area and who take less fruit were associated with a higher risk of dementia.Conclusions: The prevalence of dementia in Jatinangor is high. The identified modifiable risk factors are a potential target for intervention and valuable for designing public health policies.

scholarly journals Prevalence of Diabetes and Associated Health Risk Factors among Adults in Dubai, United Arab Emirates: Results from Dubai Household Survey 2019

2020 ◽  
pp. 1-10
Author(s):  
Fatheya Al Awadi ◽  
Mohamed Hassanein ◽  
Hamid Y. Hussain ◽  
Heba Mohammed ◽  
Gamal Ibrahim ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Risk ◽  
Marital Status ◽  
United Arab Emirates ◽  
Health Survey ◽  
Physical Inactivity ◽  
Age Groups ◽  
World Health ◽  
Health Risk Factors ◽  
The Impact

<b><i>Background:</i></b> The health and social burdens of diabetes mellitus (DM) are steadily increasing worldwide, reflecting the impact of urbanization, industrial transitions, and shifting to nonhealthy, sedentary life patterns’, as well as the high sugar, low-fiber food consumptions. All these factors have contributed to the global increase in the prevalence of DM and metabolic disorders. <b><i>Objectives:</i></b> The objective is to study the prevalence of DM among adult cohorts in Dubai and the extent of behavioral health risk factors associations. <b><i>Methodology:</i></b> A cross-sectional household health survey with multistage, stratified cluster random sample of 9,630 participants including 2,496 households was carried out in Dubai 2019. About 5,371 non-United Arab Emirates (UAE) national, 2,245 UAE-nationals, of different age-groups, gender, education, nationality, smoking, and marital status were included in the survey. The survey questionnaire was adapted from the one used in the World Bank’s Living Standards Measurement Surveys (LSMSs) and the WHO’s World Health Surveys (WHSs). Self-reported diabetes was considered as well as newly diagnosed diabetes based on HbA1C results. About 75 well-trained surveyors, 25 well-trained nurses, and other laboratory technicians conducted the survey. SPSS 21 and Stata 12 software was used for data management. <b><i>Results:</i></b> The data indicate that the prevalence of diabetes among Dubai Emiratis is much higher than Dubai expats (19.3 vs. 12.4% <i>p</i> = 0.000). The association between diabetes and age was evident regardless of nationality. Rates of diabetes were higher in males (15.4%) compared to females (11.8%) (<i>p</i> &#x3c; 0.001). About 11.2% of those considered overweight have DM, while the prevalence is 21.5% in obese people (<i>p</i> = 0.000). Physical inactivity, smoking, and hypertension (HTN) were strongly associated with higher rates of DM. Regardless of nationality, lower levels of education were statistically significantly associated with the prevalence of DM (<i>p</i> = 0.000), while single marital status was associated with the lowest rate of DM. <b><i>Conclusions:</i></b> Dubai household health survey 2019 indicated that the prevalence of DM among Dubai adults was still high as an overall estimation. Higher rates of diabetes were significantly associated with Emirati nationality, older age-groups, male gender, physical inactivity, high BMI, HTN, smoking<b>,</b> marital status of divorced, separated or divorced as well as low educational level groups.

scholarly journals Health Across Generations: Findings From the Australian Longitudinal Study on Women’s Health

2010 ◽  
Vol 12 (2) ◽  
pp. 162-170 ◽  
Author(s):  
Jayne C. Lucke ◽  
Wendy Brown ◽  
Leigh Tooth ◽  
Deborah Loxton ◽  
Julie Byles ◽  
...  
Keyword(s):  
Risk Factors ◽  
Longitudinal Study ◽  
Health Status ◽  
Health Risk ◽  
Life Span ◽  
Age Groups ◽  
Demographic Factors ◽  
Health Status Indicators ◽  
Health Risk Factors ◽  
Australian Longitudinal Study

Interpretation of changes in health and health care utilization patterns across the life span depends on an understanding of the effects of age, period, and cohort. The purpose of this article is to illustrate differences among three generations of women in demographic factors, health risk factors, and health status indicators from 1996 to 2008. The article examines data from the Australian Longitudinal Study on Women’s Health, a broad-ranging project funded by the Australian Government Department of Health and Ageing (DoHA) and involving three age groups of women (born in the periods 1973—1978, 1946—1951, and 1921—1926) who were first surveyed in 1996 and will be surveyed every 3 years until at least 2015. Patterns in selected demographic factors (marital status and level of educational qualification), health risk factors (smoking, alcohol consumption, physical activity, and body mass index [BMI]), and health status indicators (asthma, hypertension, diabetes and depression; physical functioning and mental health scores from the SF-36) were examined to illustrate examples of biological age, generational differences, or period effects that affect all age groups and generations simultaneously. The results can be used to inform the development of responsive and effective models for both prevention and management of chronic disease, including health and aged-care systems that will meet the needs of different generations of women across their life span.

Age and Sex-Specific Associations in Health Risk Factors for Chronic Disease: Evidence from the Atlantic Partnership for Tomorrow’s Health (PATH) Cohort

2021 ◽  
pp. 1-12
Author(s):  
Vanessa DeClercq ◽  
Ellen Sweeney
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Chronic Disease ◽  
Health Risk ◽  
Age Groups ◽  
Current Smoker ◽  
Health Risk Factors ◽  
Logistic Regression Models ◽  
Risk Factor Data ◽  
Age And Sex

Abstract The objective of this study was to discern health risk factors for chronic disease by age and sex in a Canadian cohort. Participants of the Atlantic Partnership for Tomorrow’s Health (PATH) cohort with health risk factor data (physical activity, smoking, alcohol consumption, diet, body mass index [BMI]) were included (n = 16,165). Multivariable logistic regression models were used to evaluate the relationship among health risk factors, age, and sex. Regression analysis revealed that the odds of engaging in high levels of physical activity and having a BMI ≥ 25 was lower for females than males across all age groups, whereas the odds of abdominal obesity was substantially higher for females of all ages than for males. The odds of habitually consuming alcohol was lower for females of all ages than for males, and the odds of being a former/current smoker was lower for older (57–74 years of age) females than for males. The odds of consuming five or more servings of fruit and vegetables per day was higher for females of all ages than for males. There are evident differences in health risk factors for males and for females, as well as across age groups, and public health efforts need to account for the role played by sex and age in addressing chronic disease burden in Canadian adults.

A Study of the Effects of Exercise on Stress, Depression Levels, and Health Risk Factors

2000 ◽  
Author(s):  
Paul A. Thomas ◽  
Jen Hanley ◽  
Christy Tomczak ◽  
Jennifer Wuchteil ◽  
Nathan Underwood ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Risk ◽  
Health Risk Factors

Behavioral Health Risk Factors for Nonmedical Use of Prescription Opioids in Adolescence

2020 ◽  
Author(s):  
Junhan Cho ◽  
Lorraine I. Kelley-Quon ◽  
Jessica L. Barrington-Trimis ◽  
Afton Kechter ◽  
Sarah Axeen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Health Risk ◽  
Behavioral Health ◽  
Prescription Opioids ◽  
Health Risk Factors ◽  
Nonmedical Use

Consumption of carbonated soft drinks among Ghanaian adolescents: associations with socio-demographic factors, health risk factors and psychological distress

2021 ◽  
pp. 026010602199693
Author(s):  
Prince Atorkey ◽  
Mariam Akwei ◽  
Winifred Asare-Doku
Keyword(s):  
Risk Factors ◽  
Psychological Distress ◽  
Health Risk ◽  
Soft Drink ◽  
Demographic Factors ◽  
Soft Drinks ◽  
Health Risk Factors ◽  
Soft Drink Consumption ◽  
Carbonated Soft Drinks ◽  
Socio Demographic Factors

Background: Carbonated soft drinks consumption is associated with weight gain and other chronic diseases. Aim: To examine whether socio-demographic factors, health risk factors and psychological distress are associated with carbonated soft drink consumption among adolescents in selected senior high schools in Ghana. Methods: Data were obtained from the 2012 Ghana Global School-based Student Health Survey (GSHS). Participants consisted of 1756 school-going adolescents sampled using a two-stage cluster sampling method. Binomial logistic regression was used to determine whether socio-demographic factors, health risk factors and psychological distress were associated with consumption of soft drinks. Results: The prevalence of carbonated soft drinks consumption was 34.9%. Males (odds ratio (OR) = 0.73 (95% confidence intervals (CI) 0.59–0.92); p = 0.007), and participants with high socio-economic status (OR = 0.76 (95% CI 0.48–0.97); p = 0.033) had smaller odds for consumption of soft drinks. Also, adolescents in Senior High School (SHS) 3 (OR = 0.72 (95% CI 0.53–0.97); p = 0.034) and SHS 4 (OR = 0.63 (95% CI 0.43–0.91); p = 0.014) had smaller odds for soft drinks intake compared to those in SHS 1. Health risk factors associated with greater odds of high soft drink consumption were tobacco use (OR = 1.68, (95% CI 1.07–2.65); p = 0.025), fast food consumption (OR = 1.88, (95% CI 1.47–2.41); p = 0.011) and alcohol consumption (OR = 1.43, (95% CI 1.02–1.99); p = 0.039). Consuming adequate fruit (OR = 0.19 (95% CI 0.15–0.24); p = 0.000) and adequate vegetable (OR = 0.55 (95% CI 0.34–0.87); p = 0.011) were associated with lower odds for soft drink consumption. Adolescents who reported feeling anxious had smaller odds for soft drink intake (OR = 0.65, (95% CI 0.47–0.91); p = 0.011). Conclusions: The findings from this study show that socio-demographic characteristics, health risk factors and psychological distress are associated with the soft drink consumption among adolescents in Ghana. Interventions aimed at reducing soft drink consumption and other health risk factors are needed.

Cannabis use among early adolescents and transdiagnostic mental health risk factors

2021 ◽  
pp. 135910452199463
Author(s):  
Sara Moreno-Mansilla ◽  
Jorge J Ricarte ◽  
David J Hallford
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Health Risk ◽  
Suicide Attempts ◽  
Intolerance Of Uncertainty ◽  
Cannabis Use ◽  
Health Risk Factors ◽  
Symptoms Of Depression ◽  
Modifiable Factors ◽  
Wide Range

Introduction: Cannabis is the most widely used psychoactive substance among adolescents worldwide, and the age at which consumption begins to decrease. Cannabis use in adolescents is associated with a wide range of adverse consequences in adulthood including increased vulnerability to psychosis and other mental disorders, as well as suicidal ideation and attempt. The aim of this study is to extend understanding of the link between cannabis use and mental illness by examining whether cannabis use at early ages predicts transdiagnostic variables that are precursors to severe clinical diagnoses. Methods: A descriptive cross-sectional study was conducted. The sample was made up of 605 adolescents from 7th to 9th grades, with a mean age of 13.2 years ( SD = 1.0, 47% girls). The variables evaluated were: anomalous perception of reality, intolerance of uncertainty, rumination, suicide attempt, hopelessness, and symptoms of depression and anxiety. The administration of the questionnaires was carried out in groups of 20 participants under the supervision of a researcher in a unique session of 1 hour. Results: Adolescent cannabis users scored higher on all variables assessed: anomalous perception of reality (Cohen’s d = .60), rumination ( d = .48), intolerance of uncertainty ( d = .11), suicidal attempt (affirmative answer: 25.9% of users vs 7.7% of non-users), hopelessness ( d = .85), symptoms of depression ( d = .80), and anxiety ( d = .39). A binary logistic regression showed that the only variable uniquely related to cannabis use was hopelessness (Wald = 4.560, OR: 1.159, p = .033). Conclusions: Among some mental health risk factors, hopelessness appears uniquely related to cannabis use. Adolescents may use cannabis as a coping strategy for negative thoughts and emotions, or it may be a consequence of cannabis use. Future prevention programs should focus on preventing/treating modifiable factors such as hopelessness, and delaying cannabis use in specific subgroups of adolescents who experience pathologies such as depression or suicide attempts.

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