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Lifestyle Factors and Chronic Diseases

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Disease Prevention".

Deadline for manuscript submissions: closed (30 April 2022) | Viewed by 10170

Special Issue Editors


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Guest Editor
School of Public Health & Key Laboratory of Public Health Safety & NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
Interests: genetic and social epidemiology on chronic diseases including diabetes, hypertension and COPD; health policy and care on mediciens and vaccines; mental health

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Guest Editor
School of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai 200032, China
Interests: chronic non infectious epidemiology
School of Public Health, Key Laboratory of Public Health Safety, NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
Interests: chronic disease epidemiology

Special Issue Information

Dear Colleagues,

Chronic diseases (including cancer, cardiovascular disease, chronic respiratory disease, diabetes, and so on) are the leading cause of disability-adjusted life years and responsible for more than two-thirds of death worldwide. Unhealthy and modifiable lifestyle factors such as cigarette smoking, alcohol drinking, unhealthy diet, and physical inactivity are very important to investigate to reduce the burden of chronic diseases. It is also important to understand the different socioeconomic factors that may modify associations between lifestyle factors and chronic diseases, highlighting the groups that need to be focused on further.

In this Special Issue, we look forward to receiving original research studies (longitudinal, case-control, randomized control trials, mixed-methods, meta-analyses) focused on the impact of lifestyle factors on the incidence and progression of chronic diseases. 

Potential topics include but are not limited to:

  • Associations between lifestyle factors and chronic diseases;
  • Interactive effects of socioeconomic and lifestyle factors to chronic diseases;
  • Impacts of effectiveness and safety lifestyle interventions on incidence and progression of chronic diseases;
  • New statistical methods or analytic models to assess the relationship between lifestyle factors and chronic diseases;
  • Mechanisms of different lifestyle factors to determine causal associations between life-course exposure and incidence or progression of chronic diseases;
  • Screening and disease burden for chronic diseases among populations in the context of lifestyle changes.

Prof. Dr. Chaowei Fu
Dr. Na Wang
Dr. Kelin Xu
Guest Editors

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • lifestyle factor
  • chronic disease
  • socioeconomic factor
  • incidence
  • progression
  • intervention
  • screening
  • disease burden

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Published Papers (4 papers)

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Research

11 pages, 2289 KiB  
Article
Combined Effects of Obesity and Dyslipidaemia on the Prevalence of Diabetes Amongst Adults Aged ≥45 Years: Evidence from a Nationally Representative Cross-Sectional Study
by Simin Zhang, Donghan Sun, Xiaoyi Qian, Li Li and Wenwen Wu
Int. J. Environ. Res. Public Health 2022, 19(13), 8036; https://doi.org/10.3390/ijerph19138036 - 30 Jun 2022
Cited by 4 | Viewed by 1632
Abstract
Objectives: This study aimed to explore the combined effects of different types of obesity and dyslipidaemia on the prevalence of diabetes in middle-aged and elderly residents. Methods: Data were obtained from the 2015 China Health and Retirement Longitudinal Studydatabase, and 5023 valid participants [...] Read more.
Objectives: This study aimed to explore the combined effects of different types of obesity and dyslipidaemia on the prevalence of diabetes in middle-aged and elderly residents. Methods: Data were obtained from the 2015 China Health and Retirement Longitudinal Studydatabase, and 5023 valid participants were included after excluding those with missing data. A Chi-square test was used to test the difference in the prevalence of diabetes between the groups. Binary logistic regression was used to analyse the relationship between different types of obesity combined with dyslipidaemia and the prevalence of diabetes. Results: Multivariate logistic regression analysis showed that, compared with those with a body mass index <24/ortholiposis, the subgroup with systemic obesity/dyslipidaemia had 4.37 times the risk of diabetes (OR = 4.37, 95% CI = 2.36–8.10, p < 0.001). In addition, compared with those with a normal waist circumference (WC)/ortholiposis, the subgroup with abdominal obesity/dyslipidaemia had 3.58 times the risk of diabetes (OR = 3.58, 95% CI = 2.49–5.13, p < 0.001). Conclusions: The coexistence of obesity and dyslipidaemia can significantly increase the risk of diabetes, suggesting that the strict control of weight, WC and lipid level is beneficial to the prevention of diabetes. Full article
(This article belongs to the Special Issue Lifestyle Factors and Chronic Diseases)
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13 pages, 894 KiB  
Article
Path Analysis Reveals the Direct Effect of PCB28 Exposure on Cognitive Dysfunction in Older Chinese Females
by Chenwei Pan, Huijuan Zhao, Qiaoling Du, Yong Xu, Dajun Tian, Shuo Xiao, Haiyin Wang, Xiao Wei, Chunfeng Wu, Yuanyuan Ruan, Chunhua Zhao, Gonghua Tao and Weiwei Zheng
Int. J. Environ. Res. Public Health 2022, 19(12), 6958; https://doi.org/10.3390/ijerph19126958 - 7 Jun 2022
Cited by 1 | Viewed by 1825
Abstract
Background: Research indicates that exposure to polychlorinated biphenyls (PCBs) can cause neurobehavioral impairments in neonates and adults, but the way specific PCBs’ congeners impact cognition functions at a low exposure level in a real-life co-exposure system remains poorly understood. This study aimed to [...] Read more.
Background: Research indicates that exposure to polychlorinated biphenyls (PCBs) can cause neurobehavioral impairments in neonates and adults, but the way specific PCBs’ congeners impact cognition functions at a low exposure level in a real-life co-exposure system remains poorly understood. This study aimed to investigate the association of PCBs burden with cognition function among elderly adults. Methods: Based on the Weitang Geriatric Diseases study (2014–2015), the current study measured the plasma concentrations of six indicator-PCBs by GC-MS/MS and assessed the cognitive dysfunction (CoD) via an Abbreviated Mental Test in 266 participants (ages 61–90). Sequential logistic regression was used to analyze the effects of PCBs on cognition functions. Female participants aged less than or equal to 80 years were selected, and path analysis was used to determine the direct or indirect impacts of co-exposure PCBs on CoD by structural equation modeling. Results: After sequential adjustments to potential confounding factors and correction by the Bonferroni, no statistically significant correlation between PCBs exposure and CoD was found in participants (p > 0.05). However, in the co-exposure system, after controlling for co-exposures and confounders, exposure to PCB28 had a direct effect on CoD in females aged between 61 and 80, with a factor load of 0.670. Conclusions: After adjusting for the co-exposures and confounders, exposure to PCB28 can directly increase the risk of cognitive impairment in older Chinese females. Full article
(This article belongs to the Special Issue Lifestyle Factors and Chronic Diseases)
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20 pages, 2639 KiB  
Article
Association between Drinking Patterns and Incident Hypertension in Southwest China
by Yawen Wang, Yuntong Yao, Yun Chen, Jie Zhou, Yanli Wu, Chaowei Fu, Na Wang, Tao Liu and Kelin Xu
Int. J. Environ. Res. Public Health 2022, 19(7), 3801; https://doi.org/10.3390/ijerph19073801 - 23 Mar 2022
Cited by 9 | Viewed by 2563
Abstract
Based on a prospective cohort study of adults from southwest China with heterogeneity in their demographical characteristics and lifestyles, we aimed to explore the association between drinking patterns and incident hypertension under the interaction of these confounding factors. The Cox proportional hazard model [...] Read more.
Based on a prospective cohort study of adults from southwest China with heterogeneity in their demographical characteristics and lifestyles, we aimed to explore the association between drinking patterns and incident hypertension under the interaction of these confounding factors. The Cox proportional hazard model was used to estimate the hazard ratios (HR) and 95% confidence intervals (95% CI). Subgroup analysis was performed according to sex, ethnicity, area, occupation, smoking, and exercise to compare the differences in the association between drinking patterns and the incidence of hypertension. Blood pressure was higher in participants with a high drinking frequency than those with a low drinking frequency (p < 0.001). We found that total drinking frequency, liquor drinking frequency, rice wine drinking frequency, and alcohol consumption were significantly associated with an increased risk of hypertension. Compared with the non-drinking group, a heavy drinking pattern was positively correlated with hypertension. Drinking can increase the risk of hypertension, especially heavy drinking patterns, with a high frequency of alcohol intake and high alcohol consumption. From the analysis results of the longitudinal data, drinking alcohol is still an important risk factor for hypertension among Chinese subjects, especially for men, the rural population, the employed, the Han nationality, smokers, and certain exercise populations. Full article
(This article belongs to the Special Issue Lifestyle Factors and Chronic Diseases)
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10 pages, 1146 KiB  
Article
Gender Disparities of Heart Disease and the Association with Smoking and Drinking Behavior among Middle-Aged and Older Adults, a Cross-Sectional Study of Data from the US Health and Retirement Study and the China Health and Retirement Longitudinal Study
by Yifei Li, Yuanan Lu, Eric L. Hurwitz and Yanyan Wu
Int. J. Environ. Res. Public Health 2022, 19(4), 2188; https://doi.org/10.3390/ijerph19042188 - 15 Feb 2022
Cited by 6 | Viewed by 2448
Abstract
Heart disease remains the leading cause of death globally by gender and region. Smoking and alcohol drinking are known modifiable health behaviors of heart disease. Utilizing data from the US Health and Retirement Study and the China Health and Retirement Longitudinal Study, this [...] Read more.
Heart disease remains the leading cause of death globally by gender and region. Smoking and alcohol drinking are known modifiable health behaviors of heart disease. Utilizing data from the US Health and Retirement Study and the China Health and Retirement Longitudinal Study, this study examines heart disease disparities and the association with smoking and drinking behavior among men and women in the US and China. Smoking and drinking behavior were combined to neither, smoke-only, drink-only, and both. In the US, the prevalence was higher in men (24.5%, 95% CI: 22.5–26.6%) than in women (20.6%, 95% CI: 19.3–22.1%) and a higher prevalence was found in the smoke-only group for both genders. In contrast, women in China had higher prevalence (22.9%, 95% CI: 21.7–24.1%) than men (16.1%, 95% CI: 15.1–17.2%), and the prevalence for women who smoked or engaged in both behaviors were ~1.5 times (95% CI: 1.3–1.8, p < 0.001) those who did not smoke or drink, but no statistical difference were found in men. The findings might be due to differences in smoking and drinking patterns and cultures by gender in the two countries and gender inequality among older adults in China. Culturally tailored health promotion strategies will help reduce the burden of heart disease. Full article
(This article belongs to the Special Issue Lifestyle Factors and Chronic Diseases)
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