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Wen J, Wang Y, Mao X, Lei R, Zhou J, Zhang J, Liu H, Cheng Q. Prolonged exposure to leisure screen time notably accelerates biological aging: Evidence from observational studies and genetic associations. Neurotherapeutics 2025:e00599. [PMID: 40350326 DOI: 10.1016/j.neurot.2025.e00599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2024] [Revised: 02/21/2025] [Accepted: 04/12/2025] [Indexed: 05/14/2025] Open
Abstract
LST is steadily increasing and is associated with various health issues. However, its impact on aging remains unclear. A total of 7212 participants from NHANES 1999-2002 were included. LTL, ALM, and FI were selected as aging phenotypes. Observational association between LST and aging traits was analyzed using linear regression models. MR analyses based on 112 genetic variants were performed to test the causal estimates from LST on aging. TWAS and PPI analyses were conducted to investigate underlying biological mechanisms. After adjusting for physical activity, per 1 h increase in LST, participants had a shorter LTL (β = -1.39, 95 % CI: -2.47 to -0.30), a lower ALM (β = -1.09, 95 % CI: -1.39 to -0.70), and an increased FI (β = 8.22, 95 % CI: 4.29 to 12.30). Likewise, TSMR analyses indicated that genetically increased LST was significantly associated with shorter LTL (β = -2.63, 95 % CI: -4.86 to -0.35), lower ALM (β = -6.56, 95 % CI: -9.43 to -3.60), and increased FI (β = 20.16, 95 % CI: 15.73 to 24.77). The trend remained robust after tests for pleiotropy and heterogeneity, consistent with the results of MVMR. 4 hub genes and 15 co-localized genes are identified, respectively, from PPI networks and TWAS. Pathways related to immune reactions, oxidative stress, and protein metabolism were significantly enriched. This study revealed that increased LST is significantly associated with adverse aging phenotypes. Reducing LST may help alleviate the burden of aging.
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Affiliation(s)
- Jie Wen
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China; Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Yuchen Wang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China; Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Xueyi Mao
- Xiangya School of Medicine, Central South University, Changsha, China
| | - Ruoyan Lei
- Xiangya School of Public Health, Central South University, Changsha, China
| | - Jinglin Zhou
- Department of Immunology and Inflammation, Cancer Cell Protein Metabolism, The Hugh and Josseline Langmuir Centre for Myeloma Research, Centre for Haematology, Imperial College London, London, United Kingdom
| | - Jingwei Zhang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China; Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
| | - Hongwei Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China; Hypothalamic Pituitary Research Centre, Xiangya Hospital, Central South University, Changsha, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
| | - Quan Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
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Sheikh-Wu SF, Liang Z, Downs CA. The Relationship Between Telomeres, Cognition, Mood, and Physical Function: A Systematic Review. Biol Res Nurs 2023; 25:227-239. [PMID: 36222081 DOI: 10.1177/10998004221132287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose: Cognitive, affective, and physical symptoms and alterations in their function are seen across chronic illnesses. Data suggest that environmental, psychological, and physiological factors contribute to symptom experience, potentially through loss of telomeres (telomere attrition), structures at the ends of chromosomes. Telomere length is affected by many factors including environmental (e.g., exercise, diet, smoking) and physiological (e.g., response to stress), as well as from oxidative damage and inflammation that occurs in many disease processes. Moreover, telomere attrition is associated with chronic disease (cancer, cardiovascular disease, Alzheimer's disease) and predicts higher morbidity and mortality rates. However, findings are inconsistent among telomere roles and relationships with health outcomes. This article aims to synthesize the current state-of-the-science of telomeres and their relationship with cognitive, affective, and physical function and symptoms. Method: A comprehensive literature search was performed in two databases: CINAHL and PUBMED. A total of 33 articles published between 2000 and 2022 were included in the final analysis. Results: Telomere attrition is associated with various changes in cognitive, affective, and physical function and symptoms. However, findings are inconsistent. Interventional studies (e.g., meditation and exercise) may affect telomere attrition, potentially impacting health outcomes. Conclusion: Nursing research and practice are at the forefront of furthering the understanding of telomeres and their relationships with cognitive, affective, and physical function and symptoms. Future interventions targeting modifiable risk factors may be developed to improve health outcomes across populations.
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Affiliation(s)
| | - Zhan Liang
- 5452University of Miami, Coral Gables, FL, USA
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Prieto-Botella D, Martens DS, Valera-Gran D, Subiza-Pérez M, Tardón A, Lozano M, Casas M, Bustamante M, Jimeno-Romero A, Fernández-Somoano A, Llop S, Vrijheid M, Nawrot TS, Navarrete-Muñoz EM. Sedentary Behaviour and Telomere Length Shortening during Early Childhood: Evidence from the Multicentre Prospective INMA Cohort Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:5134. [PMID: 36982042 PMCID: PMC10048855 DOI: 10.3390/ijerph20065134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 03/10/2023] [Accepted: 03/13/2023] [Indexed: 06/18/2023]
Abstract
Sedentary behaviour (SB) may be related to telomere length (TL) attrition due to a possible pro-inflammatory effect. This study examined the association between parent-reported sedentary behaviour (SB) and leukocyte TL at the age of 4 and telomere tracking from 4 to 8 years. In the Spanish birth cohort Infancia y Medio Ambiente (INMA) project, we analysed data from children who attended follow-up visits at age 4 (n = 669) and 8 (n = 530). Multiple robust regression models were used to explore the associations between mean daily hours of SB (screen time, other sedentary activities, and total SB) at 4 years categorised into tertiles and TL at 4 years and difference in TL rank between age 4 and 8, respectively. At the age of 4, the results showed that children with the highest screen time (1.6-5.0 h/day) had a shorter TL of -3.9% (95% CI: -7.4, -0.4; p = 0.03) compared with children in the lowest tertile (0.0-1.0 h/day). Between 4 and 8 years, a higher screen time (highest tertile group vs. lowest tertile) was associated with a decrease in the LTL rank of -1.9% (95% CI: -3.8, -0.1; p = 0.03) from 4 to 8 years. Children exposed to a higher screen time at 4 years were more prone to have shorter TL at 4 and between 4 and 8 years of age. This study supports the potential negative effect of SB during childhood on cellular longevity.
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Affiliation(s)
- Daniel Prieto-Botella
- Department of Surgery and Pathology, Miguel Hernandez University, 03550 Alicante, Spain
| | - Dries S. Martens
- Centre for Environmental Sciences, Hasselt University, Agoralaan Gebouw D, BE-3590 Hasselt, Belgium
| | - Desiree Valera-Gran
- Department of Surgery and Pathology, Miguel Hernandez University, 03550 Alicante, Spain
- Grupo de Investigación en Terapia Ocupacional (InTeO), Miguel Hernández University, 03550 Alicante, Spain
- Alicante Institute for Health and Biomedical Research (ISABIAL-FISABIO Foundation), 03010 Alicante, Spain
| | - Mikel Subiza-Pérez
- Biodonostia Health Research Institute, Group of Environmental Epidemiology and Child Development, 20014 San Sebastian, Spain
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
- Department of Clinical and Health Psychology and Research Methods, University of the Basque Country (UPV/EHU), 20018 Donostia-San Sebastián, Spain
- Bradford Institute for Health Research, Temple Bank House, Bradford Royal Infirmary, Duckworth Lane, Bradford BD9 6RJ, UK
| | - Adonina Tardón
- Unidad de Epidemiología Molecular del Cáncer, Departamento de Medicina, Instituto Universitario de Oncología del Principado de Asturias (IUOPA), Universidad de Oviedo, Julián Clavería Street s/n, 33006 Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Roma Avenue s/n, 33001 Oviedo, Spain
| | - Manuel Lozano
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, 46020 Valencia, Spain
- Preventive Medicine and Public Health, Food Sciences, Toxicology and Forensic Medicine Department, Universitat de València, 46100 Valencia, Spain
| | - Maribel Casas
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
- ISGlobal, Institute for Global Health, 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
| | - Mariona Bustamante
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
- ISGlobal, Institute for Global Health, 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
| | - Alba Jimeno-Romero
- Department of Preventive Medicine and Public Health, Faculty of Medicine, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain
| | - Ana Fernández-Somoano
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
- Unidad de Epidemiología Molecular del Cáncer, Departamento de Medicina, Instituto Universitario de Oncología del Principado de Asturias (IUOPA), Universidad de Oviedo, Julián Clavería Street s/n, 33006 Oviedo, Spain
- Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Roma Avenue s/n, 33001 Oviedo, Spain
| | - Sabrina Llop
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, 46020 Valencia, Spain
| | - Martine Vrijheid
- Spanish Consortium for Research on Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
- ISGlobal, Institute for Global Health, 08003 Barcelona, Spain
- Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
| | - Tim S. Nawrot
- Centre for Environmental Sciences, Hasselt University, Agoralaan Gebouw D, BE-3590 Hasselt, Belgium
- Department of Public Health & Primary Care, University of Leuven (KU Leuven), BE-3000 Leuven, Belgium
| | - Eva-María Navarrete-Muñoz
- Department of Surgery and Pathology, Miguel Hernandez University, 03550 Alicante, Spain
- Grupo de Investigación en Terapia Ocupacional (InTeO), Miguel Hernández University, 03550 Alicante, Spain
- Alicante Institute for Health and Biomedical Research (ISABIAL-FISABIO Foundation), 03010 Alicante, Spain
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Effect of Physical Activity, Smoking, and Sleep on Telomere Length: A Systematic Review of Observational and Intervention Studies. J Clin Med 2021; 11:jcm11010076. [PMID: 35011817 PMCID: PMC8745211 DOI: 10.3390/jcm11010076] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Revised: 12/14/2021] [Accepted: 12/21/2021] [Indexed: 12/12/2022] Open
Abstract
Aging is a risk factor for several pathologies, restricting one’s health span, and promoting chronic diseases (e.g., cardiovascular and neurodegenerative diseases), as well as cancer. Telomeres are regions of repetitive DNA located at chromosomal ends. Telomere length has been inversely associated with chronological age and has been considered, for a long time, a good biomarker of aging. Several lifestyle factors have been linked with telomere shortening or maintenance. However, the consistency of results is hampered by some methodological issues, including study design, sample size, measurement approaches, and population characteristics, among others. Therefore, we aimed to systematically review the current literature on the effects of three relevant lifestyle factors on telomere length in human adults: physical activity, smoking, and sleep. We conducted a qualitative systematic review of observational and intervention studies using the Preferred Reporting Item for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. The systematic literature search covered articles published in MEDLINE and EMBASE databases (from 2010 to 2020). A total of 1400 studies were identified; 83 were included after quality control. Although fewer sedentary activities, optimal sleep habits, and non- or ex-smoker status have been associated with less telomere shortening, several methodological issues were detected, including the need for more targeted interventions and standardized protocols to better understand how physical activity and sleep can impact telomere length and aging. We discuss the main findings and current limitations to gain more insights into the influence of these lifestyle factors on the healthy aging process.
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Rackova L, Mach M, Brnoliakova Z. An update in toxicology of ageing. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2021; 84:103611. [PMID: 33581363 DOI: 10.1016/j.etap.2021.103611] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 01/17/2021] [Accepted: 02/03/2021] [Indexed: 06/12/2023]
Abstract
The field of ageing research has been rapidly advancing in recent decades and it had provided insight into the complexity of ageing phenomenon. However, as the organism-environment interaction appears to significantly affect the organismal pace of ageing, the systematic approach for gerontogenic risk assessment of environmental factors has yet to be established. This puts demand on development of effective biomarker of ageing, as a relevant tool to quantify effects of gerontogenic exposures, contingent on multidisciplinary research approach. Here we review the current knowledge regarding the main endogenous gerontogenic pathways involved in acceleration of ageing through environmental exposures. These include inflammatory and oxidative stress-triggered processes, dysregulation of maintenance of cellular anabolism and catabolism and loss of protein homeostasis. The most effective biomarkers showing specificity and relevancy to ageing phenotypes are summarized, as well. The crucial part of this review was dedicated to the comprehensive overview of environmental gerontogens including various types of radiation, certain types of pesticides, heavy metals, drugs and addictive substances, unhealthy dietary patterns, and sedentary life as well as psychosocial stress. The reported effects in vitro and in vivo of both recognized and potential gerontogens are described with respect to the up-to-date knowledge in geroscience. Finally, hormetic and ageing decelerating effects of environmental factors are briefly discussed, as well.
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Affiliation(s)
- Lucia Rackova
- Institute of Experimental Pharmacology and Toxicology, Centre of Experimental Medicine, Slovak Academy of Sciences, Dubravska cesta 9, 841 04 Bratislava, Slovakia.
| | - Mojmir Mach
- Institute of Experimental Pharmacology and Toxicology, Centre of Experimental Medicine, Slovak Academy of Sciences, Dubravska cesta 9, 841 04 Bratislava, Slovakia
| | - Zuzana Brnoliakova
- Institute of Experimental Pharmacology and Toxicology, Centre of Experimental Medicine, Slovak Academy of Sciences, Dubravska cesta 9, 841 04 Bratislava, Slovakia
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Xue H, Zhang X, Li D, Chen M, Luo J, Gong Y, Lv X, Quan L, He F, Zhang L, Cheng G. Relevance of Physical Activities, Sedentary Behaviors, and Genetic Predisposition in Body Fatness: Population-Based Study on Chinese Adults. Obes Facts 2021; 14:346-356. [PMID: 34247171 PMCID: PMC8406243 DOI: 10.1159/000515380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Accepted: 02/18/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Little attention has been paid to the interacting effect of specific intensities of physical activities (PAs) and sedentary lifestyle, like television watching, and genetic predisposition on body composition indices among Chinese adults. Herein, we aimed to examine whether specific types of PAs and sedentary behaviors (SBs) were associated with body composition indices among Chinese adults and to further explore whether these associations interacted with the genetic predisposition to high BMI. METHODS Cross-sectional data regarding PAs and time spent on SBs and dietary intake of 3,976 Chinese adults (54.9% women) aged 25-65 years in Southwest China were obtained via questionnaires in 2013-2015. Weight, height, and waist circumference (WC) were measured, and BMI, percentage of body fat (%BF), fat mass index (FMI), and fat-free mass index (FFMI) of the participants were calculated. Genetic risk score (GRS) was calculated on 9 established BMI-associated SNPs among Chinese adults. RESULTS When the participants were stratified by GRS for BMI, significant associations were only found for adults with high GRS for BMI: moderate-to-vigorous physical activity (MVPA) was negatively associated with WC and %BF and positively related to FFMI. The adjusted positive relationship of time spent watching television with BMI, WC, %BF, and FMI were also just found between adults with high weighted GRS for high BMI: for every 1 h increment in television watching, the BMI, WC, %BF, and FMI of the participants increased by 0.2 kg/m2, 0.9 cm, 0.3%, and 0.1 kg/m2, respectively (p < 0.02). CONCLUSION MVPA may be a protective factor against obesity, and prolonged television watching may accentuate adiposity. These putative effects may be more pronounced among individuals with a high genetic risk of a high BMI.
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Affiliation(s)
- Hongmei Xue
- College of Public Health, Hebei University, Key Laboratory of Public Health Safety of Hebei University, Baoding, China
- West China School of Public Health, Sichuan University, Chengdu, China
- *Correspondence to: Hongmei Xue,
| | - Xiao Zhang
- West China School of Public Health, Sichuan University, Chengdu, China
| | - Danting Li
- West China School of Public Health, Sichuan University, Chengdu, China
| | - Mengxue Chen
- West China School of Public Health, Sichuan University, Chengdu, China
| | - Jiao Luo
- West China School of Public Health, Sichuan University, Chengdu, China
| | - Yunhui Gong
- West China Second University Hospital, Sichuan University, Chengdu, China
| | - Xiaohua Lv
- West China School of Public Health, Sichuan University, Chengdu, China
| | - Liming Quan
- West China School of Public Health, Sichuan University, Chengdu, China
| | - Fang He
- West China School of Public Health, Sichuan University, Chengdu, China
| | - Lishi Zhang
- West China School of Public Health, Sichuan University, Chengdu, China
| | - Guo Cheng
- West China School of Public Health, Sichuan University, Chengdu, China
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Zhang X, Chen M, Duan R, Xue H, Luo J, Lv X, Jia H, He F, Zhang L, Cheng G. The Nutrition and Health in Southwest China (NHSC) study: design, implementation, and major findings. Eur J Clin Nutr 2020; 75:299-306. [PMID: 32801308 PMCID: PMC7872891 DOI: 10.1038/s41430-020-00703-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 06/17/2020] [Accepted: 08/04/2020] [Indexed: 11/09/2022]
Abstract
BACKGROUND There are few studies of nutritional and genetic factors and their interactions on the risk of noncommunicable diseases (NCDs) among Chinese adults. OBJECTIVE Our aim for the Nutrition and Health in Southwest China (NHSC) study is to investigate the impact of diet, lifestyle, genetic background, and their interactions on NCDs among adults in Southwest China. METHODS The NSHC is a prospective cohort study initiated in winter 2013. The baseline data collection was completed in December 2018, and follow-ups are conducted every 2 years. Information on genomics, anthropometry, nutrition, eating behaviors, physical activity, depression and mental disorders, clinical and biochemical examinations, and lifestyles was collected. RESULTS 7926 adults completed the baseline questionnaire. The average age of participants was 42.6 (9.8) years at study enrollment. More than half were female, 37.2% had achieved more than 12 years of education, and 49.3% of them came from family income >35,000 Yuan. Our analyses of the baseline data suggested that adults with greater dietary energy density appeared to have greater body mass index, fat mass index, fat-free mass index and percentage body fat, and that participants with a higher level of dietary glycemic index, glycemic load, or serum 25(OH)D had a less favorable glucose homeostasis. In addition, spending less time watching television and having a healthy eating pattern may play significant roles in later cellular aging. CONCLUSIONS In conclusion, the NHSC cohort provides valuable data for investigations of the relevance of gene, nutrition, lifestyles, and their interactions on NCDs among southwestern Chinese adults.
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Affiliation(s)
- Xiao Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, PR China
| | - Mengxue Chen
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, PR China
| | - Ruonan Duan
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, PR China
| | - Hongmei Xue
- West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, PR China.,College of Public Health, Hebei University, Baoding, PR China
| | - Jiao Luo
- West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, PR China
| | - Xiaohua Lv
- West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, PR China
| | - Hong Jia
- Department of Epidemiology and Biostatistics, School of Public Health, Southwest Medical University, Luzhou, PR China
| | - Fang He
- West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, PR China
| | - Lishi Zhang
- West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, PR China
| | - Guo Cheng
- Laboratory of Molecular Translational Medicine, Center for Translational Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, PR China. .,West China School of Nursing, Sichuan University, Chengdu, Sichuan, PR China.
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Bao R, Chen ST, Wang Y, Xu J, Wang L, Zou L, Cai Y. Sedentary Behavior Research in the Chinese Population: A Systematic Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:3576. [PMID: 32443711 PMCID: PMC7277100 DOI: 10.3390/ijerph17103576] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Revised: 05/12/2020] [Accepted: 05/17/2020] [Indexed: 12/11/2022]
Abstract
Background: The negative effects of sedentary behavior (SB) on public health have been extensively documented. A large number of studies have demonstrated that high prevalence of SB is a critical factor of all-cause mortality. Globally, the frequency of SB research has continued to rise, but little is known about SB in the Chinese population. Therefore, this review was conducted to scope the research situation and to fill the gaps related to the effects of SB in the Chinese population. Methods: Using a scoping review based on York methodology, a comprehensive search of published journal articles and grey literature was carried out through 12 databases. The literature research was conducted by two authors in July 2019, and included journal articles that targeted on the Chinese population were published between 1999 and 2019. The two authors screened the records independently and included those research topics related to SB in the Chinese population. Results: The number of included studies increased from 1 to 29 per year during the analyzed period, during which, a remarkable climb happened from 8 in 2013 to 19 in July 2019. Out of the 1303 screened studies, a total of 162 studies (81 English and 81 Chinese journal articles) met the inclusion criteria in this review. Most of the included studies (66.0%) reported the overall estimated prevalence of SB, in which, 43.2% of studies reported the average time of SB, and 40.0% of studies reported the cutoff point of SB. Besides this, 54.9% and 23.5% of studies focused on the outcomes and correlates/determinants of SB, and the proportions of studies based on testing the validation of measurement tools and on interventions were 3.7% and 4.9%, respectively. Nearly all of the reviewed articles used data from cross-sectional studies (75.9%) and longitudinal studies (13.6%), while intervention trials are less developed. The majority of the studies (64.8%) used self-reported surveys, and only 3.7% studies used device-based measurement tools. Furthermore, 35.8% of the included studies were focused on children and adolescents, while only a few studies investigated infants/toddlers and older adults. Both female and male were examined in most studies, and non-clinical populations were investigated in the context of SB in a relatively large number of studies. Conclusions: The number of research articles on SB in the Chinese population published per year has increased year by year, indicating a growing interest in this research area. More studies using population subgroup samples are needed, particularly among infants/toddlers, older adults, and clinical populations. To provide stronger evidence of the determinants and outcomes of SB, longitudinal studies using device-based measures of SB are required.
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Affiliation(s)
- Ran Bao
- School of Physical Education and Sport Training, Shanghai University of Sport, Shanghai 200438, China; (R.B.); (J.X.); (L.W.)
| | - Si-Tong Chen
- Institute for Health and Sport, Victoria University, Melbourne 3000, Australia;
| | - Yanlei Wang
- Harbin Institute of Physical Education, Harbin 150006, China;
| | - Jun Xu
- School of Physical Education and Sport Training, Shanghai University of Sport, Shanghai 200438, China; (R.B.); (J.X.); (L.W.)
| | - Lei Wang
- School of Physical Education and Sport Training, Shanghai University of Sport, Shanghai 200438, China; (R.B.); (J.X.); (L.W.)
| | - Liye Zou
- Exercise and Mental Health Laboratory, Shenzhen Key Laboratory of Affective and Social Cognitive Science, Shenzhen University, Shenzhen 518060, China;
| | - Yujun Cai
- School of Physical Education and Sport Training, Shanghai University of Sport, Shanghai 200438, China; (R.B.); (J.X.); (L.W.)
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Prevalence and Predictors of Obesity and Overweight among Adults Visiting Primary Care Settings in the Southwestern Region, Saudi Arabia. BIOMED RESEARCH INTERNATIONAL 2019; 2019:8073057. [PMID: 30949511 PMCID: PMC6425323 DOI: 10.1155/2019/8073057] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/08/2018] [Revised: 02/03/2019] [Accepted: 02/19/2019] [Indexed: 12/14/2022]
Abstract
Introduction Obesity is becoming the most common health problem of the 21st century, as it will contribute significantly to the high prevalence of cardiovascular disease in developing countries. The main objective of our study was to estimate the prevalence of obesity and overweight among adults attending primary health care settings, southwestern region of the Kingdom of Saudi Arabia. Methods The studied population was composed of adults visiting primary health care centres in the southwestern region of Saudi Arabia. A cross-sectional study was carried out on a representative sample of 1681 adult patients. Obesity and overweight were defined according to the WHO standards. Statistical analysis was conducted using the statistical package SPSS 17.0. Logistic regression analysis was used to identify independent predictors of obesity and overweight in the studied population. Results Data on body mass index (BMI) measurement was recorded for 1649 out of 1681 participants (98.1%). The overall mean weight was 74.1 ± 15.81 kg; and that for men was 77.69 ± 16.14 kg vs. 69.37 ± 14.02 kg for women with significant statistical difference of p < 0.001. The overall prevalence of overweight and obesity was, respectively, 38.3% and 27.6%. Smoking was not significantly associated with obesity, whereas hypertension was significantly associated with obesity. The risk of overweight or obesity significantly increased from the highest to the lowest monthly income; it passed from 1.67 CI 95% = [1.24-2.25] within the category 5000-7000 SAR to 2.23 CI 95% = [1.71-2.90] within the category less than 5000 SAR. Conclusion Our study showed high prevalence of overweight and obesity which should be considered as a public health concern to be followed by specific interventions at the community level with multidisciplinary activities starting from childhood as a primordial prevention program.
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Gielen M, Hageman GJ, Antoniou EE, Nordfjall K, Mangino M, Balasubramanyam M, de Meyer T, Hendricks AE, Giltay EJ, Hunt SC, Nettleton JA, Salpea KD, Diaz VA, Farzaneh-Far R, Atzmon G, Harris SE, Hou L, Gilley D, Hovatta I, Kark JD, Nassar H, Kurz DJ, Mather KA, Willeit P, Zheng YL, Pavanello S, Demerath EW, Rode L, Bunout D, Steptoe A, Boardman L, Marti A, Needham B, Zheng W, Ramsey-Goldman R, Pellatt AJ, Kaprio J, Hofmann JN, Gieger C, Paolisso G, Hjelmborg JBH, Mirabello L, Seeman T, Wong J, van der Harst P, Broer L, Kronenberg F, Kollerits B, Strandberg T, Eisenberg DTA, Duggan C, Verhoeven JE, Schaakxs R, Zannolli R, dos Reis RMR, Charchar FJ, Tomaszewski M, Mons U, Demuth I, Iglesias Molli AE, Cheng G, Krasnienkov D, D'Antono B, Kasielski M, McDonnell BJ, Ebstein RP, Sundquist K, Pare G, Chong M, Zeegers MP. Body mass index is negatively associated with telomere length: a collaborative cross-sectional meta-analysis of 87 observational studies. Am J Clin Nutr 2018; 108:453-475. [PMID: 30535086 PMCID: PMC6454526 DOI: 10.1093/ajcn/nqy107] [Citation(s) in RCA: 119] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Accepted: 04/27/2018] [Indexed: 12/12/2022] Open
Abstract
Background Even before the onset of age-related diseases, obesity might be a contributing factor to the cumulative burden of oxidative stress and chronic inflammation throughout the life course. Obesity may therefore contribute to accelerated shortening of telomeres. Consequently, obese persons are more likely to have shorter telomeres, but the association between body mass index (BMI) and leukocyte telomere length (TL) might differ across the life span and between ethnicities and sexes. Objective A collaborative cross-sectional meta-analysis of observational studies was conducted to investigate the associations between BMI and TL across the life span. Design Eighty-seven distinct study samples were included in the meta-analysis capturing data from 146,114 individuals. Study-specific age- and sex-adjusted regression coefficients were combined by using a random-effects model in which absolute [base pairs (bp)] and relative telomere to single-copy gene ratio (T/S ratio) TLs were regressed against BMI. Stratified analysis was performed by 3 age categories ("young": 18-60 y; "middle": 61-75 y; and "old": >75 y), sex, and ethnicity. Results Each unit increase in BMI corresponded to a -3.99 bp (95% CI: -5.17, -2.81 bp) difference in TL in the total pooled sample; among young adults, each unit increase in BMI corresponded to a -7.67 bp (95% CI: -10.03, -5.31 bp) difference. Each unit increase in BMI corresponded to a -1.58 × 10(-3) unit T/S ratio (0.16% decrease; 95% CI: -2.14 × 10(-3), -1.01 × 10(-3)) difference in age- and sex-adjusted relative TL in the total pooled sample; among young adults, each unit increase in BMI corresponded to a -2.58 × 10(-3) unit T/S ratio (0.26% decrease; 95% CI: -3.92 × 10(-3), -1.25 × 10(-3)). The associations were predominantly for the white pooled population. No sex differences were observed. Conclusions A higher BMI is associated with shorter telomeres, especially in younger individuals. The presently observed difference is not negligible. Meta-analyses of longitudinal studies evaluating change in body weight alongside change in TL are warranted.
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Affiliation(s)
| | - Geja J Hageman
- Toxicology, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht University, Netherlands
| | - Evangelia E Antoniou
- Department of Clinical Psychological Science, Faculty of Psychology and Neuroscience, Maastricht University, Netherlands
| | | | - Massimo Mangino
- Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
- NIHR Biomedical Research Center at Guy's and St. Thomas’ Foundation Trust, London, United Kingdom
| | | | - Tim de Meyer
- Department of Mathematical Modeling, Statistics, and Bioinformatics, Ghent University, Ghent, Belgium
| | - Audrey E Hendricks
- Population Sciences Branch of the National Heart, Lung, and Blood Institute (NHLBI), NIH, NHLBI's Framingham Heart Study, Framingham, MA
- Department of Mathematical and Statistical Sciences, University of Colorado–Denver, Denver, CO
| | - Erik J Giltay
- Department of Psychiatry, Leiden University Medical Center, Leiden, Netherlands
| | - Steven C Hunt
- Cardiovascular Genetics Division, Department of Medicine, University of Utah, Salt Lake City, UT
| | - Jennifer A Nettleton
- Division of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Science Center, Houston, TX
| | - Klelia D Salpea
- Department of Molecular Biology and Genetics, BSRC “Alexander Fleming,” Athens, Greece
| | - Vanessa A Diaz
- Department of Family Medicine, Medical University of South Carolina, Charleston, SC
| | - Ramin Farzaneh-Far
- Division of Cardiology, San Francisco General Hospital, San Francisco, CA
| | - Gil Atzmon
- Department of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY, and Department of Biology, Faculty of Natural Science, University of Haifa, Haifa, Israel
| | - Sarah E Harris
- Center for Cognitive Aging and Cognitive Epidemiology and Medical Genetics Section and Center for Genomics and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Lifang Hou
- Department of Preventive Medicine and Robert H Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - David Gilley
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN
| | - Iiris Hovatta
- Department of Biosciences, University of Helsinki, Helsinki, Finland
- Department of Health, National Institute for Health and Welfare, Helsinki, Finland
| | - Jeremy D Kark
- Epidemiology Unit, Hebrew University–Hadassah School of Public Health and Community Medicine, Jerusalem, Israel
| | - Hisham Nassar
- Department of Cardiology, Hadassah University Medical Center, Jerusalem, Israel
| | - David J Kurz
- Department of Cardiology, Triemli Hospital, Zurich, Switzerland
| | - Karen A Mather
- Centre for Healthy Brain Ageing, Psychiatry, UNSW Australia, Sydney, Australia
| | - Peter Willeit
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria, and Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Yun-Ling Zheng
- Department of Oncology, Georgetown University Medical Center, Georgetown University, Washington, DC
| | - Sofia Pavanello
- Department of Cardiac, Thoracic, and Vascular Sciences, Unit of Occupational Medicine, University of Padova, Padova, Italy
| | - Ellen W Demerath
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN
| | - Line Rode
- The Copenhagen General Population Study, Department of Clinical Biochemistry, Copenhagen University Hospital, Herlev and Gentofte Hospital, Copenhagen, Denmark
| | - Daniel Bunout
- Institute of Nutrition and Food Technology University of Chile, Santiago, Chile
| | - Andrew Steptoe
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Lisa Boardman
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic College of Medicine, Rochester, MN
| | - Amelia Marti
- Department of Nutrition, Food Science, and Physiology, University of Navarra, Pamplona, Spain
- Instituto de Investigación Sanitaria de Navarra, Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición, (CIBERobn), Instituto de Salud Carlos III, Madrid, Spain
| | - Belinda Needham
- Department of Epidemiology, University of Michigan, Ann Arbor, MI
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
| | | | | | - Jaakko Kaprio
- Department of Public Health
- Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland
| | - Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD
| | - Christian Gieger
- Research Unit of Molecular Epidemiology and Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Giuseppe Paolisso
- Department of Medical, Surgical, Neurological, Metabolic, and Geriatric Sciences, Second University of Naples, Naples, Italy
| | - Jacob B H Hjelmborg
- Department of Epidemiology, Biostatistics, and Biodemography, Institute of Public Health, University of Southern Denmark, Odense C, Denmark
| | - Lisa Mirabello
- Department of Medical, Surgical, Neurological, Metabolic, and Geriatric Sciences, Second University of Naples, Naples, Italy
| | - Teresa Seeman
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA
| | - Jason Wong
- Stanford University School of Medicine, Stanford, CA
| | - Pim van der Harst
- Department of Cardiology, University Medical Center Groningen, Groningen, Netherlands
| | - Linda Broer
- Department of Internal Medicine, Erasmus MC, Rotterdam, Netherlands
| | - Florian Kronenberg
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular, and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Barbara Kollerits
- Division of Genetic Epidemiology, Department of Medical Genetics, Molecular, and Clinical Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Timo Strandberg
- University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland; Center for Life Course Epidemiology, University of Oulu, Oulu, Finland
| | - Dan T A Eisenberg
- Department of Anthropology and Center for Studies in Demography and Ecology, University of Washington, Seattle, WA
| | | | - Josine E Verhoeven
- Department of Psychiatry, VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Roxanne Schaakxs
- Department of Psychiatry, VU University Medical Center, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Raffaela Zannolli
- Pediatrics Unit, Azienda Ospedaliera Universitaria, Senese/University of Siena, Policlinico Le Scotte, Siena, Italy
| | - Rosana M R dos Reis
- Department of Gynecology and Obstetrics, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Fadi J Charchar
- School of Science and Technology, Federation University Australia, Department of Physiology, University of Melbourne, Melbourne, Australia, and Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
| | - Maciej Tomaszewski
- Division of Cardiovascular Sciences, Faculty of Medicine, Biology, and Health, University of Manchester, Manchester, United Kingdom
- Division of Medicine, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Ute Mons
- Division of Clinical Epidemiology and Aging Research
- Cancer Prevention Unit, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Ilja Demuth
- Charité–Universitätsmedizin Berlin (corporate member of Freie Universität Berlin), Humboldt-Universität zu Berlin, and Berlin Institute of Health, Lipid Clinic at the Interdisciplinary Metabolism Center, Berlin, Germany
| | - Andrea Elena Iglesias Molli
- CONICET-Universidad de Buenos Aires. Instituto de Inmunología, Genética y Metabolismo (INIGEM). Laboratorio de Diabetes y Metabolismo, Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
| | - Guo Cheng
- Department of Nutrition, Food Safety, and Toxicology, West China School of Public Health, Sichuan University, Chengdu, China
| | - Dmytro Krasnienkov
- Department of Epigenetics, DF Chebotarev State Institute of Gerontology NAMS of Ukraine, Kyiv, Ukraine
| | - Bianca D'Antono
- Research Center, Montreal Heart Institute, and Psychology Department, University of Montreal, Montreal, Quebec, Canada
| | - Marek Kasielski
- Bases of Clinical Medicine Teaching Center, Medical University of Lodz, Lodz, Poland
| | - Barry J McDonnell
- Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, United Kingdom
| | | | - Kristina Sundquist
- Center for Primary Health Care Research, Lund University, Region Skåne, Lund, Sweden
| | - Guillaume Pare
- Population Health Research Institute and McMaster University, Hamilton, Canada
| | - Michael Chong
- Population Health Research Institute and McMaster University, Hamilton, Canada
| | - Maurice P Zeegers
- Departments of Complex Genetics
- CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, Netherlands
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Wilson JJ, Adlakha D, Cunningham C, Best P, Cardwell CR, Stephenson A, Murphy MH, Tully MA. Brief Standing Desk Intervention to Reduce Sedentary Behavior at a Physical Activity Conference in 2016. Am J Public Health 2018; 108:1197-1199. [PMID: 30024796 DOI: 10.2105/ajph.2018.304515] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
OBJECTIVES To examine the impact of environmental restructuring on attendees at a physical activity conference when provided with standing tables and given point-of-decision prompts (PODPs; e.g., health messages). METHODS This randomized controlled trial took place at the Health-Enhancing Physical Activity Europe 2016 conference in Belfast, United Kingdom, September 2016. We randomly allocated 14 oral sessions to either the intervention group (standing tables + PODPs; n = 7) or the control group (PODPs only; n = 7). Conference volunteers discreetly recorded the number of attendees standing and sitting and estimated the number of women and attendees aged 40 years or older. RESULTS There was a significant difference (P = .04) in the proportion of attendees standing during the intervention (mean = 16.8%; SD = 9.5%) than during control sessions (mean = 6.0%; SD = 5.8%). There was no differential response between gender and age groups in the proportion standing during intervention sessions (P > .05). CONCLUSIONS Providing standing tables may be a feasible and effective strategy to reduce sitting at physical activity conferences.
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Affiliation(s)
- Jason J Wilson
- Jason J. Wilson, Conor Cunningham, Chris R. Cardwell, and Mark A. Tully are with the UK Clinical Research Collaboration Centre of Excellence for Public Health, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, United Kingdom. Deepti Adlakha is with the School of Natural and Built Environment, Queen's University Belfast. Paul Best is with the Centre for Evidence and Social Innovation, School of Social Sciences, Education and Social Work, Queen's University Belfast. Aoife Stephenson and Marie H. Murphy are with the Sport and Exercise Sciences Research Institute, School of Sport, Ulster University, Newtownabbey, United Kingdom
| | - Deepti Adlakha
- Jason J. Wilson, Conor Cunningham, Chris R. Cardwell, and Mark A. Tully are with the UK Clinical Research Collaboration Centre of Excellence for Public Health, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, United Kingdom. Deepti Adlakha is with the School of Natural and Built Environment, Queen's University Belfast. Paul Best is with the Centre for Evidence and Social Innovation, School of Social Sciences, Education and Social Work, Queen's University Belfast. Aoife Stephenson and Marie H. Murphy are with the Sport and Exercise Sciences Research Institute, School of Sport, Ulster University, Newtownabbey, United Kingdom
| | - Conor Cunningham
- Jason J. Wilson, Conor Cunningham, Chris R. Cardwell, and Mark A. Tully are with the UK Clinical Research Collaboration Centre of Excellence for Public Health, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, United Kingdom. Deepti Adlakha is with the School of Natural and Built Environment, Queen's University Belfast. Paul Best is with the Centre for Evidence and Social Innovation, School of Social Sciences, Education and Social Work, Queen's University Belfast. Aoife Stephenson and Marie H. Murphy are with the Sport and Exercise Sciences Research Institute, School of Sport, Ulster University, Newtownabbey, United Kingdom
| | - Paul Best
- Jason J. Wilson, Conor Cunningham, Chris R. Cardwell, and Mark A. Tully are with the UK Clinical Research Collaboration Centre of Excellence for Public Health, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, United Kingdom. Deepti Adlakha is with the School of Natural and Built Environment, Queen's University Belfast. Paul Best is with the Centre for Evidence and Social Innovation, School of Social Sciences, Education and Social Work, Queen's University Belfast. Aoife Stephenson and Marie H. Murphy are with the Sport and Exercise Sciences Research Institute, School of Sport, Ulster University, Newtownabbey, United Kingdom
| | - Chris R Cardwell
- Jason J. Wilson, Conor Cunningham, Chris R. Cardwell, and Mark A. Tully are with the UK Clinical Research Collaboration Centre of Excellence for Public Health, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, United Kingdom. Deepti Adlakha is with the School of Natural and Built Environment, Queen's University Belfast. Paul Best is with the Centre for Evidence and Social Innovation, School of Social Sciences, Education and Social Work, Queen's University Belfast. Aoife Stephenson and Marie H. Murphy are with the Sport and Exercise Sciences Research Institute, School of Sport, Ulster University, Newtownabbey, United Kingdom
| | - Aoife Stephenson
- Jason J. Wilson, Conor Cunningham, Chris R. Cardwell, and Mark A. Tully are with the UK Clinical Research Collaboration Centre of Excellence for Public Health, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, United Kingdom. Deepti Adlakha is with the School of Natural and Built Environment, Queen's University Belfast. Paul Best is with the Centre for Evidence and Social Innovation, School of Social Sciences, Education and Social Work, Queen's University Belfast. Aoife Stephenson and Marie H. Murphy are with the Sport and Exercise Sciences Research Institute, School of Sport, Ulster University, Newtownabbey, United Kingdom
| | - Marie H Murphy
- Jason J. Wilson, Conor Cunningham, Chris R. Cardwell, and Mark A. Tully are with the UK Clinical Research Collaboration Centre of Excellence for Public Health, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, United Kingdom. Deepti Adlakha is with the School of Natural and Built Environment, Queen's University Belfast. Paul Best is with the Centre for Evidence and Social Innovation, School of Social Sciences, Education and Social Work, Queen's University Belfast. Aoife Stephenson and Marie H. Murphy are with the Sport and Exercise Sciences Research Institute, School of Sport, Ulster University, Newtownabbey, United Kingdom
| | - Mark A Tully
- Jason J. Wilson, Conor Cunningham, Chris R. Cardwell, and Mark A. Tully are with the UK Clinical Research Collaboration Centre of Excellence for Public Health, Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, United Kingdom. Deepti Adlakha is with the School of Natural and Built Environment, Queen's University Belfast. Paul Best is with the Centre for Evidence and Social Innovation, School of Social Sciences, Education and Social Work, Queen's University Belfast. Aoife Stephenson and Marie H. Murphy are with the Sport and Exercise Sciences Research Institute, School of Sport, Ulster University, Newtownabbey, United Kingdom
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12
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Xu X, Liu D, Rao Y, Zeng H, Zhang F, Wang L, Xie Y, Sharma M, Zhao Y. Prolonged Screen Viewing Times and Sociodemographic Factors among Pregnant Women: A Cross-Sectional Survey in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15030403. [PMID: 29495439 PMCID: PMC5876948 DOI: 10.3390/ijerph15030403] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Revised: 02/10/2018] [Accepted: 02/19/2018] [Indexed: 11/28/2022]
Abstract
Objectives: This study aimed to assess the prevalence of prolonged television, computer, and mobile phone viewing times and examined related sociodemographic factors among Chinese pregnant women. Methods: In this study, a cross-sectional survey was implemented among 2400 Chinese pregnant women in 16 hospitals of 5 provinces from June to August in 2015, and the response rate of 97.76%. We excluded women with serious complications and cognitive disorders. The women were asked about their television, computer, and mobile phone viewing during pregnancy. Prolonged television watching or computer viewing was defined as spending more than two hours on television or computer viewing per day. Prolonged mobile phone viewing was watching more than one hour on mobile phone per day. Results: Among 2345 pregnant women, about 25.1% reported prolonged television viewing, 20.6% reported prolonged computer viewing, and 62.6% reported prolonged mobile phone viewing. Pregnant women with long mobile phone viewing times were likely have long TV (Estimate = 0.080, Standard Error (SE) = 0.016, p < 0.001) and computer viewing times (Estimate = 0.053, SE = 0.022, p = 0.015). Pregnant women with long TV (Estimate = 0.134, SE = 0.027, p < 0.001) and long computer viewing times (Estimate = 0.049, SE = 0.020, p = 0.015) were likely have long mobile phone viewing times. Pregnant women with long TV viewing times were less likely to have long computer viewing times (Estimate = -0.032, SE = 0.015, p = 0.035), and pregnant women with long computer viewing times were less likely have long TV viewing times (Estimate = -0.059, SE = 0.028, p = 0.035). Pregnant women in their second pregnancy had lower prolonged computer viewing times than those in their first pregnancy (Odds Ratio (OR) 0.56, 95% Confidence Interval (CI) 0.42-0.74). Pregnant women in their second pregnancy were more likely have longer prolonged mobile phone viewing times than those in their first pregnancy (OR 1.25, 95% CI 1.01-1.55). Conclusions: The high prevalence rate of prolonged TV, computer, and mobile phone viewing times was common for pregnant women in their first and second pregnancy. This study preliminarily explored the relationship between sociodemographic factors and prolonged screen time to provide some indication for future interventions related to decreasing screen-viewing times during pregnancy in China.
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Affiliation(s)
- Xianglong Xu
- School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China.
- Collaborative Innovation Center of Social Risks Governance in Health, Chongqing Medical University, Chongqing 400016, China.
| | - Dengyuan Liu
- School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China.
- Collaborative Innovation Center of Social Risks Governance in Health, Chongqing Medical University, Chongqing 400016, China.
| | - Yunshuang Rao
- School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China.
- Collaborative Innovation Center of Social Risks Governance in Health, Chongqing Medical University, Chongqing 400016, China.
| | - Huan Zeng
- School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China.
- Collaborative Innovation Center of Social Risks Governance in Health, Chongqing Medical University, Chongqing 400016, China.
| | - Fan Zhang
- School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China.
- Collaborative Innovation Center of Social Risks Governance in Health, Chongqing Medical University, Chongqing 400016, China.
| | - Lu Wang
- School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China.
- Collaborative Innovation Center of Social Risks Governance in Health, Chongqing Medical University, Chongqing 400016, China.
| | - Yaojie Xie
- School of Nursing, The Hong Kong Polytechnic University, Hong Kong 999077, China.
| | - Manoj Sharma
- Department of Behavioral and Environmental Health, Jackson State University, Jackson, MS 39213, USA.
| | - Yong Zhao
- School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China.
- Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China.
- Collaborative Innovation Center of Social Risks Governance in Health, Chongqing Medical University, Chongqing 400016, China.
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13
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Saberi F, Adib-Hajbaghery M, Zohrehie J. The effects of public education through Short Message Service on the time from symptom onset to hospital arrival in patients with myocardial infarction: A field trial. ARYA ATHEROSCLEROSIS 2017; 13:97-102. [PMID: 29147118 PMCID: PMC5677325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
BACKGROUND Patients' early hospital arrival is among the most important factors in minimizing the complications of myocardial infarction (MI). One of the measures which can reduce prehospital delay in these patients is public education. The aim of the present study was to investigate the effects of public education through Short Message Service (SMS) on the time from symptom onset to hospital arrival (or onset-to-door time) in patients with MI in Kashan, Iran. METHODS This field trial was done on 131 patients with definite diagnosis of myocardial infarction. Intervention included sending an educational short message about the symptoms of MI and the necessity of referring to hospital immediately. Logistic regression analysis was performed to evaluate the predictors of the onset-to-door time. RESULTS The results showed no significant difference in demographic characteristics, clinical variables and past medical history between the participants in the two groups. The onset-to-door time was significantly shorter in the intervention group than the control group (240.53 ± 156.60 vs. 291.70 ± 251.23, P= 0.003). Moreover, the onset-to-call time was significantly shorter in the intervention group than the control group (127.06 ± 202.62 vs. 44.32 ± 81.26, P = 0.002). The odds of arrival at hospital in the first 120 minutes after the onset of MI manifestations was 5.8 (2.04-16.8) times higher in the group that received the educational SMS. CONCLUSION As both the onset-to-door and onset-to-call times were shorter in the intervention group, it is suggested to use this method to raise the public awareness of MI symptoms and the need for early referral.
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Affiliation(s)
- Farzaneh Saberi
- Lecturer, Department of Midwifery, School of Nursing and Midwifery, Kashan University of Medical Sciences, Kashan, Iran
| | - Mohsen Adib-Hajbaghery
- Professor, Trauma Nursing Research Center AND School of Nursing and Midwifery, Kashan University of Medical Sciences, Kashan, Iran,Correspondence to: Mohsen Adib-Hajbaghery,
| | - Javad Zohrehie
- Nurse, Emergency Medical Services, Kashan University of Medical Sciences, Kashan, Iran
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