scholarly journals Associations of common chronic non-communicable diseases and medical conditions with sleep-related problems in a population-based health examination study

Sleep Science ◽  
2016 ◽  
Vol 9 (3) ◽  
pp. 249-254 ◽  
Author(s):  
Syaron Basnet ◽  
Ilona Merikanto ◽  
Tuuli Lahti ◽  
Satu Männistö ◽  
Tiina Laatikainen ◽  
...  
BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e041755
Author(s):  
Srinivas Marmamula ◽  
Satya Brahmanandam Modepalli ◽  
Thirupathi Reddy Kumbham ◽  
Rajesh Challa ◽  
Jill E Keeffe

ObjectivesTo assess the prevalence of disabilities (vision, hearing, mobility, cognitive, self-care and communication) and non-communicable diseases (NCDs) among the elderly population in two districts in Telangana, India.DesignPopulation-based cross-sectional study using a cluster random sampling method to select the study clusters.SettingElderly population in Khammam and Warangal districts were recruited. Detailed interviews were conducted by trained community health workers. Personal and demographic information such as age, gender, level of education and a self-report of NCDs was collected. The Washington Disability Questionnaire was administered to assess the presence of disabilities.Participants1821 participants aged ≥60 years, 54.5% were women, and 73.3% had no education.Primary outcome measurePrevalence of disabilities and NCDs.ResultsOverall, the prevalence of at least disability was 20.3% (95% CI 16.3 to 24.9). The prevalence of self- reported disabilities were: seeing (5.9%; 95% CI 4.4 to 7.8), mobility (12.8%; 95% CI 9.7 to 16.8), hearing (3.6%; 95% CI 2.7 to 4.8), cognition (4.8%; 95% CI 3.5 to 6.7), self-care (3.3%; 95% CI 2.3 to 4.7) and communication (1.8%; 95% CI 1.2 to 2.6). Overall, the prevalence of at least one NCD was 34.2% (95% CI 30.9 to 37.7). Hypertension was the most common systemic condition (25.4%; 95% CI 22.4 to 28.7), followed by diabetes (9.0%; 95% CI 7.3 to 11.0), and body pains (muscle-skeletal) (9.9%; 95% CI 8.1 to 12.2).ConclusionEvery fifth elderly person in the districts of Khammam and Warangal in Telangana had at least one self-reported disability. Besides, a third of the elderly had at least one NCD. There is a definite need to develop comprehensive public health strategies to address disabilities and NCDs in Telangana.


2021 ◽  
Vol 10 (17) ◽  
pp. e18101724202
Author(s):  
Saulo Vasconcelos Rocha ◽  
Sabrina Correia de Oliveira ◽  
Hector Luiz Rodrigues Munaro ◽  
Camila Fabiana Rossi Squarcini ◽  
Bruna Maria Palotino Ferreira ◽  
...  

Negative health behaviors incorporated into lifestyle are considered the main risk factors for chronic non-communicable diseases (NCDs) in adults and the elderly. However, the relationship between the aggregation of these factors and the sociodemographic conditions of the elderly needs to be better elucidated. The aim of this study was to analyze the simultaneity of the five risk factors for NCDs in the elderly with low economic status living in a rural city in Brazil, and their association with sociodemographic variables. Cross-sectional study was conducted with elderly people from Family Health Units of the city of Ibicui-Bahia, Brazil, where 310 elderly were enrolled. Rates of physical inactivity in leisure (PIL), alcohol consumption, sedentary behavior, overweight/obesity and tobacco consumption were collected through a questionnaire in an individual interview. The average age among participants was 71.62 (± 8.16) years. The group presenting the five behaviors had high scores in both sexes (men O/E = 242.5; women O/E = 161.7). Among men and women, the highest scores found through clustering of simultaneous NCD risk factors were for the consumption of alcohol with smoking, and physical inactivity with smoking. When analyzing the association between groups and sociodemographic characteristics, men were more physically inactive than women (OR = 0.96, CI = 0.92-0.98) and concomitantly had unhealthy habits (smoking). In conclusion, the elderly are exposed to health risk factors for concurrent CNCDs and the accumulation of these risk factors was not associated with sociodemographic variables, it is suggested that further studies be carried out with the prevalent variables as well as to analyze why the elderly population presents these levels.


2017 ◽  
Vol 34 (4) ◽  
pp. 462-470 ◽  
Author(s):  
Syaron Basnet ◽  
Ilona Merikanto ◽  
Tuuli Lahti ◽  
Satu Männistö ◽  
Tiina Laatikainen ◽  
...  

2021 ◽  
Author(s):  
Vanessa Natalie Frey ◽  
Patrick Langthaler ◽  
Emanuel Raphaelis ◽  
Susanne Ring-Dimitriou ◽  
Ludmilla Kedenko ◽  
...  

Abstract Paracelsus 10,000 is a prospective cohort study with the objective to investigate the health status of the population in and around the city of Salzburg. The focus lies on common non-communicable diseases, mainly cardiovascular and cerebrovascular diseases, and their risk factors in a population-based cohort aged between 40 and 70 years. Between the years 2013 and 2020, 10,062 randomly selected participants (w: 5,187, m: 4,875) were investigated, of whom 2,620 underwent an intensified examination. The program consists not only of medical examinations, but was extended to inventories on mental disorders, lifestyle including nutrition and physical activity. From all study participants biological samples were stored in a biobank at -80°C enabling future investigations of biomarkers and utilization of the whole spectrum of multi-omics. The first follow-up phase of the study has started in late 2020 and will allow us to investigate the development of common non-communicable diseases occurring over time in the cohort of the Paracelsus 10,000 study. This gives the study a unique position within the framework of Austrian epidemiological research with the potential to gain new insight into the role of interaction between genetic predisposition and lifestyle factors for disease development in the Salzburg population. Obtaining high-quality epidemiological data is also of particular relevance for the development of evidence-based prevention strategies. This report describes rationale, objectives and design of the study and provides insight into the main characteristics of the study cohort.


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