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Epidemiology of Lifestyle-Related Diseases

Special Issue Editor

Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC 3004, Australia
Interests: biostatistics; epidemiology; cardiology; cancer

Special Issue Information

Dear Colleagues,

Non-communicable diseases (NCDs), such as cardiovascular disease, cancer, diabetes and chronic respiratory disease, are still posing a great threat to both the health of human beings and the health systems. These diseases are heavily associated with modifiable lifestyle factors, including smoking, physical activity, dietary pattern and alcohol consumption. Although many studies have examined the associations between lifestyle factors and NCDs, quite a few issues on this broad topic are to be addressed.

Here are some examples of topics that could be addressed in this Special Issue: 

  1. The individual and combined effects of lifestyle factors on NCDs;
  2. The short-term and long-term associations and contributions of lifestyle factors to NCDs;
  3. The temporal trends on the associations and contributions between lifestyle factors and NCDs;
  4. The contributions of lifestyle factors on the demographic and socioeconomic inequalities in NCD risk;
  5. The lifestyle modifications following an NCD and patients’ prognosis;
  6. Distribution of lifestyle factors. 

Dr. Yang Peng
Guest Editor

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Keywords

  • epidemiology
  • lifestyle factors
  • cardiovascular disease
  • cancer
  • diabetes
  • chronic respiratory disease
  • longitudinal studies
  • cross-sectional studies
  • prognosis
  • incidence

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Published Papers (3 papers)

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Research

11 pages, 1288 KiB  
Article
Prevalence of Elevated Blood Triglycerides and Associated Risk Factors: Findings from a Nationwide Health Screening in Mongolia
by Khangai Enkhtugs, Tumur-Ochir Tsedev-Ochir, Enkhtur Yadamsuren, Batzorig Bayartsogt, Bayarbold Dangaa, Otgonbat Altangerel, Oyuntugs Byambasukh and Oyunsuren Enebish
Int. J. Environ. Res. Public Health 2024, 21(12), 1559; https://doi.org/10.3390/ijerph21121559 - 25 Nov 2024
Viewed by 1086
Abstract
Background: This study aims to assess the demographic, lifestyle, and clinical characteristics associated with varying levels of triglycerides (TGs) in a large population sample. Methods: This cross-sectional study utilized data from a nationwide health screening program in Mongolia. A total of 125,330 participants [...] Read more.
Background: This study aims to assess the demographic, lifestyle, and clinical characteristics associated with varying levels of triglycerides (TGs) in a large population sample. Methods: This cross-sectional study utilized data from a nationwide health screening program in Mongolia. A total of 125,330 participants (mean age: 43.8 ± 15.3 years) were included. TG levels were categorized into normal, borderline high, high, and very high. Due to the small number of participants in the very high TG group, they were combined with the high TG category for analysis. Multivariate logistic regression was performed to identify independent predictors of elevated TG levels. Results: The majority of participants (80.3%) had normal TG levels, while 10.3% had borderline high, 8.7% had high, and 0.7% had very high TG levels. Significant predictors of elevated TG levels included age (OR 1.013, 95% CI 1.012–1.014), male (OR 2.328, 95% CI 2.251–2.408), obesity (OR 1.920, 95% CI 1.855–1.987), central obesity (OR 1.866, 95% CI 1.801–1.933), smoking (OR 1.399, 95% CI 1.347–1.453), alcohol use (OR 1.233, 95% CI 1.176–1.292), and non-regular exercise (OR 1.144, 95% CI 1.118–1.171). Sex-specific analysis revealed that elevated TG levels were more prevalent among males, regardless of other risk factors such as obesity and smoking. Conclusions: Male sex, obesity, and smoking were the strongest predictors of elevated TG levels. Full article
(This article belongs to the Special Issue Epidemiology of Lifestyle-Related Diseases)
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15 pages, 772 KiB  
Article
Use of Mobile Phones and Radiofrequency-Emitting Devices in the COSMOS-France Cohort
by Isabelle Deltour, Florence Guida, Céline Ribet, Marie Zins, Marcel Goldberg and Joachim Schüz
Int. J. Environ. Res. Public Health 2024, 21(11), 1514; https://doi.org/10.3390/ijerph21111514 - 14 Nov 2024
Viewed by 1433
Abstract
COSMOS-France is the French part of the COSMOS project, an international prospective cohort study that investigates whether the use of mobile phones and other wireless technologies is associated with health effects and symptoms (cancers, cardiovascular diseases, neurologic pathologies, tinnitus, headaches, or sleep and [...] Read more.
COSMOS-France is the French part of the COSMOS project, an international prospective cohort study that investigates whether the use of mobile phones and other wireless technologies is associated with health effects and symptoms (cancers, cardiovascular diseases, neurologic pathologies, tinnitus, headaches, or sleep and mood disturbances). Here, we provide the first descriptive results of COSMOS-France, a cohort nested in the general population-based cohort of adults named Constances. Methods: A total of 39,284 Constances volunteers were invited to participate in the COSMOS-France study during the pilot (2017) and main recruitment phase (2019). Participants were asked to complete detailed questionnaires on their mobile phone use, health conditions, and personal characteristics. We examined the association between mobile phone use, including usage for calls and Voice over Internet Protocol (VoIP), cordless phone use, and Wi-Fi usage with age, sex, education, smoking status, body mass index (BMI), and handedness. Results: The participation rate was 48.4%, resulting in 18,502 questionnaires in the analyzed dataset. Mobile phone use was reported by 96.1% (N = 17,782). Users reported typically calling 5–29 min per week (37.1%, N = 6600), making one to four calls per day (52.9%, N = 9408), using one phone (83.9%, N = 14,921) and not sharing it (80.4% N = 14,295), mostly using the phone on the side of the head of their dominant hand (59.1%, N = 10,300), not using loudspeakers or hands-free kits, and not using VoIP (84.9% N = 15,088). Individuals’ age and sex modified this picture, sometimes markedly. Education and smoking status were associated with ever use and call duration, but neither BMI nor handedness was. Cordless phone use was reported by 66.0% of the population, and Wi-Fi use was reported by 88.4%. Conclusion: In this cross-sectional presentation of contemporary mobile phone usage in France, age and sex were important determinants of use patterns. Full article
(This article belongs to the Special Issue Epidemiology of Lifestyle-Related Diseases)
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17 pages, 371 KiB  
Article
Prevalence and Psychosocial Correlates of Diabetes Mellitus in South Africa: Results from the South African National Health and Nutrition Examination Survey (SANHANES-1)
by Sibusiso Sifunda, Anthony David Mbewu, Musawenkosi Mabaso, Thabang Manyaapelo, Ronel Sewpaul, Justin Winston Morgan, Nigel Walsh Harriman, David R. Williams and Sasiragha Priscilla Reddy
Int. J. Environ. Res. Public Health 2023, 20(10), 5798; https://doi.org/10.3390/ijerph20105798 - 12 May 2023
Cited by 19 | Viewed by 4083
Abstract
In South Africa, there are a limited number of population estimates of the prevalence of diabetes and its association with psychosocial factors. This study investigates the prevalence of diabetes and its psychosocial correlates in both the general South African population and the Black [...] Read more.
In South Africa, there are a limited number of population estimates of the prevalence of diabetes and its association with psychosocial factors. This study investigates the prevalence of diabetes and its psychosocial correlates in both the general South African population and the Black South African subpopulation using data from the SANHANES-1. Diabetes was defined as a hemoglobin A1c (HbA1c) ≥6.5% or currently on diabetes treatment. Multivariate ordinary least squares and logistic regression models were used to determine factors associated with HbA1c and diabetes, respectively. The prevalence of diabetes was significantly higher among participants who identified as Indian, followed by White and Coloured people, and lowest among Black South Africans. General population models indicated that being Indian, older aged, having a family history of diabetes, and being overweight and obese were associated with HbA1c and diabetes, and crowding was inversely associated with HbA1c and diabetes. HbA1c was inversely associated with being White, having higher education, and residing in areas with higher levels of neighborhood crime and alcohol use. Diabetes was positively associated with psychological distress. The study highlights the importance of addressing the risk factors of psychological distress, as well as traditional risk factors and social determinants of diabetes, in the prevention and control of diabetes at individual and population levels. Full article
(This article belongs to the Special Issue Epidemiology of Lifestyle-Related Diseases)
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