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Killick R, Stranks L, Hoyos CM. Sleep Deficiency and Cardiometabolic Disease. Sleep Med Clin 2024; 19:653-670. [PMID: 39455184 DOI: 10.1016/j.jsmc.2024.07.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2024]
Abstract
Epidemiologic studies have demonstrated that short sleep duration is associated with an increased risk of cardio-metabolic health outcomes including cardiovascular disease mortality, coronary heart disease, type 2 diabetes mellitus, hypertension, and metabolic syndrome. Experimental sleep restriction studies have sought to explain these findings. This review describes the main evidence of these associations and possible mechanisms explaining them. Whether sleep extension reverses these now widely acknowledged adverse health effects and the feasibility of implementing such strategies on a public health level is discussed.
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Affiliation(s)
- Roo Killick
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, University of Sydney, Sydney, Australia
| | - Lachlan Stranks
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, University of Sydney, Sydney, Australia; The University of Adelaide, Faculty of Health and Medical Sciences, Adelaide, Australia
| | - Camilla M Hoyos
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, University of Sydney, Sydney, Australia; The University of Sydney, Faculty of Science, School of Psychology and Brain and Mind Centre, Sydney, Australia.
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Chen P, Lam MI, Si TL, Zhang L, Balbuena L, Su Z, Cheung T, Ungvari GS, Sha S, Xiang YT. The prevalence of poor sleep quality in the general population in China: a meta-analysis of epidemiological studies. Eur Arch Psychiatry Clin Neurosci 2024; 274:1-14. [PMID: 38429554 DOI: 10.1007/s00406-024-01764-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 01/13/2024] [Indexed: 03/03/2024]
Abstract
BACKGROUND The high prevalence of poor sleep quality (PSQ) in the general population leads to negative health outcomes. Since estimates of PSQ prevalence in the Chinese general population vary widely, this meta-analysis aimed to refine these estimates and to identify moderating factors. METHODS A comprehensive literature search was undertaken in both international (PubMed, PsycINFO, Web of Science, and EMBASE) and Chinese (Wanfang, and the China National Knowledge Infrastructure databases) databases from inception to 23 November 2023. Studies were required to have used standard scales such as the Chinese version of the Pittsburgh Sleep Quality Index (PSQI). The pooled prevalence of PSQ and 95% confidence intervals (CIs) were calculated using a random-effects model. Subgroup and meta-regression analyses were performed to identify sources of heterogeneity. RESULTS In 32 studies with a combined 376,824 participants, the pooled prevalence of PSQ was 19.0% (95% CI 15.8-22.8%; range 6.6-43.6%). Across 22 studies that reported PSQI data, the pooled mean score was 4.32 (95%CI 3.82-4.81; SD = 0.502). The pooled mean sleep duration across 8 studies was 7.62 (95% CI 7.23-8.00; SD = 0.194) hours. Subgroup analyses showed that lower education (Q = 4.12, P = 0.042), living in less developed regions (Q = 60.28, P < 0.001), and lower PSQI cutoff values (Q = 9.80, P = 0.007) were significantly associated with PSQ. Meta-regression analyses showed that study quality was inversely associated with estimated PSQ prevalence (β = - 0.442, P = 0.004). LIMITATIONS Although measures such as subgroup and meta-regression analyses were performed, substantial heterogeneity remained. Information related to sleep quality, such as comorbid physical diseases or psychiatric disorders, substance use, occupational types, and employment status, were not reported in most studies. CONCLUSION One in five people in the general population of China may have PSQ and people with lower education or living in western regions may be more susceptible.
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Affiliation(s)
- Pan Chen
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, 1/F, Building E12, Macao SAR, China
- Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China
| | - Mei Ieng Lam
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, 1/F, Building E12, Macao SAR, China
- Kiang Wu Nursing College of Macau, Macau SAR, China
| | - Tong Leong Si
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, 1/F, Building E12, Macao SAR, China
| | - Ling Zhang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China
| | - Lloyd Balbuena
- Department of Psychiatry, University of Saskatchewan, Saskatoon, SK, Canada
| | - Zhaohui Su
- School of Public Health, Southeast University, Nanjing, China
| | - Teris Cheung
- School of Nursing, Hong Kong Polytechnic University, Hong Kong SAR, China
| | - Gabor S Ungvari
- Psychiatry Section, University of Notre Dame Australia, Fremantle, Australia
- Division of Psychiatry, School of Medicine, University of Western Australia, Perth, Australia
| | - Sha Sha
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China.
| | - Yu-Tao Xiang
- Unit of Psychiatry, Department of Public Health and Medicinal Administration, & Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, 1/F, Building E12, Macao SAR, China.
- Centre for Cognitive and Brain Sciences, University of Macau, Macao SAR, China.
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Lefebvre L, Grunemwald T, Hamrene K, Roda C, Momas I. Unsupervised identification of cardiometabolic profiles among adolescents: findings from the PARIS birth cohort study. Eur J Pediatr 2024; 183:715-725. [PMID: 37979049 PMCID: PMC10912260 DOI: 10.1007/s00431-023-05311-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 10/11/2023] [Accepted: 10/25/2023] [Indexed: 11/19/2023]
Abstract
Metabolic syndrome (MetS) is known as a risk factor in cardiometabolic morbidity but there is no consensus on its definition for teenagers. We aimed to identify cardiometabolic health profiles and which parameters best discriminate them. K-means partitioning identified cardiometabolic profiles by sex using data on health measurements of 530 adolescents from the PARIS birth cohort. A discriminant analysis was performed. Cardiometabolic risk score and handgrip strength were also measured. Depending on definitions, MetS prevalence ranged from 0.2% to 1.3%. Two profiles were identified for the entire group and by sex: "healthy" and "at cardiometabolic risk." Weight and waist-to-height ratio or waist circumference explained more than 87% of the variance in the profile differentiation. The "at cardiometabolic risk" profiles included adolescents with overweight, a waist-to-height ratio over 0.5, and prehypertension. They had higher cardiometabolic risk scores and parents who were more likely to be overweight and have cardiometabolic diseases themselves. They also had higher birthweights, earlier adiposity-rebound and puberty ages, and lower relative handgrip strength. Conclusion: The two profiles identified, based on cardiometabolic health, were associated with early indicators and handgrip strength. Results suggest that the waist-to-height ratio is a useful clinical tool for screening individuals at cardiometabolic risk and who therefore require clinical follow-up. What is Known: • Although there is a need for tools to assess cardiometabolic health during adolescence, there is no consensus on the definition of metabolic syndrome for this age group. What is Knew: • The findings suggest that waist-to-height ratio can serve as a simple and valuable clinical tool for screening individuals at cardiometabolic risk who may require clinical monitoring for early prevention of cardiovascular diseases.
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Affiliation(s)
- Léa Lefebvre
- Université Paris Cité, Sorbonne Paris-Nord, INRAe, INSERM, UMR 1153-CRESS, HERA Team, Paris, France
- ADEME - Agence de la transition écologique, Angers, France
| | - Thomas Grunemwald
- Centre d'Examens de Santé de la Caisse Primaire d'Assurance Maladie, Paris, France
| | - Karima Hamrene
- Centre d'Examens de Santé de la Caisse Primaire d'Assurance Maladie, Paris, France
| | - Céline Roda
- Université Paris Cité, Sorbonne Paris-Nord, INRAe, INSERM, UMR 1153-CRESS, HERA Team, Paris, France.
- Faculté de Pharmacie, 4 Avenue de l'Observatoire, 75006, Paris, France.
| | - Isabelle Momas
- Université Paris Cité, Sorbonne Paris-Nord, INRAe, INSERM, UMR 1153-CRESS, HERA Team, Paris, France
- Faculté de Pharmacie, 4 Avenue de l'Observatoire, 75006, Paris, France
- Cellule Cohorte, Mairie de Paris, Direction de la Santé Publique, Paris, France
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Abstract
Epidemiologic studies have demonstrated that short sleep duration is associated with an increased risk of cardio-metabolic health outcomes including cardiovascular disease mortality, coronary heart disease, type 2 diabetes mellitus, hypertension, and metabolic syndrome. Experimental sleep restriction studies have sought to explain these findings. This review describes the main evidence of these associations and possible mechanisms explaining them. Whether sleep extension reverses these now widely acknowledged adverse health effects and the feasibility of implementing such strategies on a public health level is discussed.
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Affiliation(s)
- Roo Killick
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, University of Sydney, Sydney, Australia
| | - Lachlan Stranks
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, University of Sydney, Sydney, Australia; The University of Adelaide, Faculty of Health and Medical Sciences, Adelaide, Australia
| | - Camilla M Hoyos
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, University of Sydney, Sydney, Australia; The University of Sydney, Faculty of Science, School of Psychology and Brain and Mind Centre, Sydney, Australia.
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Arora A, Arora A. Machine learning models trained on synthetic datasets of multiple sample sizes for the use of predicting blood pressure from clinical data in a national dataset. PLoS One 2023; 18:e0283094. [PMID: 36928534 PMCID: PMC10019654 DOI: 10.1371/journal.pone.0283094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Accepted: 03/01/2023] [Indexed: 03/18/2023] Open
Abstract
INTRODUCTION The potential for synthetic data to act as a replacement for real data in research has attracted attention in recent months due to the prospect of increasing access to data and overcoming data privacy concerns when sharing data. The field of generative artificial intelligence and synthetic data is still early in its development, with a research gap evidencing that synthetic data can adequately be used to train algorithms that can be used on real data. This study compares the performance of a series machine learning models trained on real data and synthetic data, based on the National Diet and Nutrition Survey (NDNS). METHODS Features identified to be potentially of relevance by directed acyclic graphs were isolated from the NDNS dataset and used to construct synthetic datasets and impute missing data. Recursive feature elimination identified only four variables needed to predict mean arterial blood pressure: age, sex, weight and height. Bayesian generalised linear regression, random forest and neural network models were constructed based on these four variables to predict blood pressure. Models were trained on the real data training set (n = 2408), a synthetic data training set (n = 2408) and larger synthetic data training set (n = 4816) and a combination of the real and synthetic data training set (n = 4816). The same test set (n = 424) was used for each model. RESULTS Synthetic datasets demonstrated a high degree of fidelity with the real dataset. There was no significant difference between the performance of models trained on real, synthetic or combined datasets. Mean average error across all models and all training data ranged from 8.12 To 8.33. This indicates that synthetic data was capable of training equally accurate machine learning models as real data. DISCUSSION Further research is needed on a variety of datasets to confirm the utility of synthetic data to replace the use of potentially identifiable patient data. There is also further urgent research needed into evidencing that synthetic data can truly protect patient privacy against adversarial attempts to re-identify real individuals from the synthetic dataset.
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Affiliation(s)
- Anmol Arora
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Ananya Arora
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
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Lee K. Relationship Between Sleep Duration and Metabolic Health in Adolescents. Metab Syndr Relat Disord 2023; 21:169-175. [PMID: 36848255 DOI: 10.1089/met.2022.0104] [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: 03/01/2023] Open
Abstract
Purpose: This study analyzed the gender differences in the cross-sectional relationship between sleep duration and metabolic health in Korean adolescents. Materials and Methods: Adolescents (1234 males, 1073 females) aged 12-19 years who provided their metabolic syndrome score (MetZscore) and sleep duration were included from the Korea National Health and Nutrition Examination Survey 2016-2020 data. Waist circumference (WC), blood pressure (BP), glucose, triglycerides (TGs), and high-density lipoprotein cholesterol (HDL) were combined to create a standardized MetZscore. Gender-specific linear or quadratic relationships between sleep durations (weekday or difference between weekend and weekday sleep) and MetZscore were analyzed after adjusting for age, family affluence, and self-rated health. Results: Male adolescents displayed an inverse linear relationship between weekday sleep duration and MetZscore [B, -0.037 (confidence interval, 95% CI: -0.054 to -0.019)], whereas females showed a nonsignificant relationship. In male adolescents, the standardized scores of WC, BP, and TG decreased linearly as weekday sleep duration increased. In females, weekday sleep duration had an inverse linear association with WC score and a positive quadratic association with glucose score. MetZscore declined linearly as the difference in sleep durations between weekends and weekdays increased [B, -0.078 (95% CI: -0.123 to -0.034) in males; B, -0.042 (95% CI: -0.080 to -0.005) in females]. Although the scores of WC and HDL in males and the scores of WC and glucose in females had inverse linear relationships with the difference in sleep durations, the BP score in males had a positive quadratic association. Conclusions: According to this study, metabolic health benefited from longer weekend sleep durations than weekdays in both male and female adolescents and longer weekdays sleep durations in male adolescents.
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Affiliation(s)
- Kayoung Lee
- Department of Family Medicine, Busan Paik Hospital, College of Medicine, Inje University, Busan, Republic of Korea
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Winpenny EM, Rowthorn H, Hollidge S, Westgate K, Goodyer IM, Brage S, van Sluijs EMF. Shorter sleep among adolescents is associated with lower fruit and vegetable consumption the following day. Int J Behav Nutr Phys Act 2023; 20:12. [PMID: 36750845 PMCID: PMC9906927 DOI: 10.1186/s12966-023-01420-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 01/27/2023] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND Insufficient sleep has been associated with weight gain and metabolic dysregulation, with one suggested mechanism being through reduction in diet quality. Experimental evidence supports a causal effect of sleep timings on diet but this may not be applicable to a free-living adolescent population. In this analysis we use daily measures of sleep timings and diet quality, to examine the effect of sleep duration and timing on diet quality the following day among free-living adolescents. METHODS The ROOTS study is a prospective cohort recruited from secondary schools in Cambridgeshire and Suffolk (UK). Participants (n = 815) at mean age 15.0y (SD 0.3y) completed a diet diary and wore a combined heart rate and accelerometer device over 4 consecutive days. Sleep duration and timing (midpoint) were derived from acceleration and heart rate traces, while daily energy density and fruit and vegetable intake were calculated from dietary data. Analyses were performed at day-level (1815 person-days). Multilevel random effects models were used to test associations between sleep each night and subsequent day diet, with daily sleep and diet measures nested within individuals and schools, and adjusted for day-level and individual-level confounding variables. RESULTS Adolescents slept a mean of 7.88 hrs (SD 1.10) per night, reporting a mean energy density of 2.12 kcal/g (SD 0.48) and median energy-adjusted daily fruit and vegetable intake of 137.3 g (IQR 130.4). One hour shorter sleep duration was associated with lower intake of fruit and vegetables (-6.42 g, 95%CI -1.84, -10.99) the following day. An association with higher dietary energy density (0.016 kcal/g, 95%CI 0.034, -0.002) the following day was observed but did not reach statistical significance. Sleep timing was not associated with either fruit and vegetable intake (-2.52 g/d, 95%CI -7.66, 2.62) or dietary energy density (-0.001 kcal/g, 95%CI -0.022, 0.020). CONCLUSIONS Our observational findings from a free-living adolescent population support the experimental evidence for a causal role of sleep on diet, with shorter sleep duration at night leading to a small decrease in diet quality the following day. These findings support experimental evidence to suggest inclusion of sleep duration as one component of interventions designed to improve diet quality and weight status in adolescents.
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Affiliation(s)
- Eleanor M. Winpenny
- grid.5335.00000000121885934MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Harriet Rowthorn
- grid.5335.00000000121885934MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Stefanie Hollidge
- grid.5335.00000000121885934MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Kate Westgate
- grid.5335.00000000121885934MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Ian M. Goodyer
- grid.5335.00000000121885934Developmental Psychiatry, Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Soren Brage
- grid.5335.00000000121885934MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
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He J, Hong C, Zhang L, Li C, Wang Y, Fan Y, Guo P, Zhang B, Qi X, Chen S, Niu YJ, Liu F, Zhang R, Li Q, Ma S, Zhang M, Zhang M. Associations between night-time sleep duration and fasting glucose and ratio of triglyceride to high-density lipoprotein cholesterol among adults free of type 2 diabetes or without diagnosed type 2 diabetes: a multicentre, cross-sectional study in China. BMJ Open 2022; 12:e062239. [PMID: 35906046 PMCID: PMC9345048 DOI: 10.1136/bmjopen-2022-062239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVES We aimed to assess the associations between night-time sleep duration and fasting glucose (FG), triglyceride (TG) to high-density lipoprotein cholesterol (HDL-C) ratio and body mass index (BMI) among adults free of type 2 diabetes (T2D) or without diagnosed T2D. DESIGN Cross-sectional study. SETTING Medical examination centres at six hospitals in Beijing-Tianjin-Hebei region, China. PARTICIPANTS Participants were recruited via multistage, stratified cluster sampling. We included adults free of T2D or without diagnosed T2D who attended for physical examination and completed the validated questionnaire. 32 497 participants were included in the study, of whom 52.50% were men. PRIMARY AND SECONDARY OUTCOME MEASURES FG, TG, HDL-C, height and weight were measured. RESULTS Overall, 12.80% and 9.67% reported night sleep duration <7 hours and ≥9 hours, respectively; 6.91% had elevated FG and 3.57% had undiagnosed T2D. Sleep duration had an independent, U-shaped associated with FG (β1 (linear term)=-0.111, p=0.047; β2 (quadratic term)=0.008, p=0.026) with 6.9 hours of sleep associated with the lowest FG and a negative association with BMI (β=-0.154, p<0.001). BMI mediated a U-shaped association of sleep duration with TG/HDL-C (β1=-0.040, p=0.017; β2=0.003, p=0.023). CONCLUSIONS Both short and long night-time sleep was associated with elevated FG, and short sleep duration was associated with increased BMI. BMI mediated a U-shaped association between sleep duration and TG/HDL-C.
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Affiliation(s)
- Jiangshan He
- School of Medicine, Nankai University, Tianjin, China
| | - Chenglin Hong
- Department of Social Welfare, University of California, Los Angeles, California, USA
| | - Li Zhang
- Tianjin First Central Hospital, Tianjin, China
| | - Chunjun Li
- Tianjin People's Hospital Tianjin Union Medical Center, Tianjin, China
| | - Yuxue Wang
- School of Medicine, Nankai University, Tianjin, China
| | - Yaqi Fan
- School of Medicine, Nankai University, Tianjin, China
| | - Pei Guo
- School of Medicine, Nankai University, Tianjin, China
| | - Binbin Zhang
- School of Medicine, Nankai University, Tianjin, China
| | - Xin Qi
- Tianjin People's Hospital Tianjin Union Medical Center, Tianjin, China
| | - Shuo Chen
- Beijing Physical Examination Center, Beijing, China
| | - Yu-Jie Niu
- Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, Hebei, China
- Department of Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang City, Hebei, China
| | - Feng Liu
- Beijing Physical Examination Center, Beijing, China
| | - Rong Zhang
- Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, Hebei, China
- Department of Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang City, Hebei, China
| | - Qiang Li
- Beijing Physical Examination Center, Beijing, China
| | - Shitao Ma
- Hebei Key Laboratory of Environment and Human Health, Shijiazhuang, Hebei, China
- Department of Occupational Health and Environmental Health, Hebei Medical University, Shijiazhuang City, Hebei, China
| | - Mianzhi Zhang
- Tianjin Academy of Traditional Chinese Medicine Affiliated Hospital, Tianjin, China
- Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Minying Zhang
- School of Medicine, Nankai University, Tianjin, China
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Vicente BM, Neto JV, Quaresma MVLDS, Vasconcelos JS, Espíndola Bauchiunas R, Dos Santos ECM, Picone CM, Ibrahim KY, Avelino-Silva VI, de Melo CM, Segurado AC, Lima Ribeiro SM. Covid-19 Social Distancing, Lifestyle and Health Outcomes Among Persons Living with HIV (PLWH): A Web-based Survey. AIDS Behav 2022; 26:4144-4155. [PMID: 35699860 PMCID: PMC9194884 DOI: 10.1007/s10461-022-03740-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/26/2022] [Indexed: 11/24/2022]
Abstract
We investigated changes in lifestyle, depressive symptoms, self-perception of health, and body weight changes of persons living with HIV (PLWH) during the COVID-19 social distancing (SD). In a Web-based cross-sectional survey, participants (n = 406) were questioned about lifestyle and health status before and during SD. Most responders were men, 50 + years old, high education level; 49.8% had their income reduced during SD. About 9% were diagnosed with COVID-19, of whom 13.5% required hospitalization. During SD: - most participants did not change their food intake, although 25% replaced healthy foods with unhealthy ones; -more than half mentioned poor sleep quality; -about 50% increased their sedentary behavior. Depressive symptoms (reported by 70.9%) were associated with sedentary behavior, poor sleep quality, and reduced income. About one-third had a negative perception of their health status, which was inversely associated with practicing physical exercises and positively associated with sedentarism and poor sleep quality. More than half increased their body weight, which was associated with a lower intake of vegetables. The older age reduced the odds of the three outcomes. Carefully monitoring PLWH regarding SD will enable early interventions toward health.
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Affiliation(s)
- Beatriz M Vicente
- Department of Nutrition, School of Public Health, University of São Paulo, Av Dr Arnaldo, 715- São Paulo, CEP 01246-904, São Paulo, Brazil
| | - João Valentini Neto
- Department of Nutrition, School of Public Health, University of São Paulo, Av Dr Arnaldo, 715- São Paulo, CEP 01246-904, São Paulo, Brazil
| | | | - Janaína Santos Vasconcelos
- Department of Nutrition, School of Public Health, University of São Paulo, Av Dr Arnaldo, 715- São Paulo, CEP 01246-904, São Paulo, Brazil
| | - Roseli Espíndola Bauchiunas
- Department of Nutrition, School of Public Health, University of São Paulo, Av Dr Arnaldo, 715- São Paulo, CEP 01246-904, São Paulo, Brazil
| | - Elisabete C M Dos Santos
- Division of Infectious Diseases, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Camila M Picone
- Division of Infectious Diseases, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Karim Y Ibrahim
- Division of Infectious Diseases, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Vivian I Avelino-Silva
- Division of Infectious Diseases, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Camila M de Melo
- Department of Nutrition, Federal University of Lavras, Lavras, Minas Gerais, Brazil
| | - Aluísio C Segurado
- Division of Infectious Diseases, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Sandra Maria Lima Ribeiro
- Department of Nutrition, School of Public Health, University of São Paulo, Av Dr Arnaldo, 715- São Paulo, CEP 01246-904, São Paulo, Brazil. .,School of Arts, Sciences and Humanities, University of São Paulo, São Paulo, Brazil.
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10
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Abstract
Epidemiologic studies have demonstrated that short sleep duration is associated with an increased risk of cardio-metabolic health outcomes including cardiovascular disease mortality, coronary heart disease, type 2 diabetes mellitus, hypertension, and metabolic syndrome. Experimental sleep restriction studies have sought to explain these findings. This review describes the main evidence of these associations and possible mechanisms explaining them. Whether sleep extension reverses these now widely acknowledged adverse health effects and the feasibility of implementing such strategies on a public health level is discussed.
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Affiliation(s)
- Roo Killick
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, University of Sydney, Sydney, Australia
| | - Lachlan Stranks
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, University of Sydney, Sydney, Australia; The University of Adelaide, Faculty of Health and Medical Sciences, Adelaide, Australia
| | - Camilla M Hoyos
- Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, University of Sydney, Sydney, Australia; The University of Sydney, Faculty of Science, School of Psychology and Brain and Mind Centre, Sydney, Australia.
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11
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Li W, Kondracki AJ, Sun N, Gautam P, Kalan ME, Jebai R, Gbadamosi SO, Sun W. Nighttime sleep duration, daytime napping, and metabolic syndrome: findings from the China Health and Retirement Longitudinal Study. Sleep Breath 2021; 26:1427-1435. [PMID: 34729674 DOI: 10.1007/s11325-021-02487-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 08/27/2021] [Accepted: 09/08/2021] [Indexed: 12/20/2022]
Abstract
PURPOSE This study aimed to assess the association between nighttime sleep, daytime napping, and metabolic syndrome (MetS) in an elderly Chinese population. METHODS A cross-sectional study was conducted using data from the 2011 China Health and Retirement Longitudinal Study (CHARLS) to examine the association between nighttime sleep, daytime napping, and MetS (defined according to the Chinese Diabetes Society criteria). Sleep duration was assessed by a self-reported questionnaire. Binary logistic regression models were used to estimate odds ratios and 95% confidence intervals of the associations adjusting for covariates. RESULTS Among 4785 elderly Chinese aged over 65 years old, there was no association between short-time sleep duration (< 7 h/day) and MetS. However, long-time sleep duration (> 8 h/day) decreased the odds of MetS by 53% (aOR= 0.47; 95% CI 0.23-0.96) compared to normal sleep duration (7-8 h/day). Compared to no daytime napping, short-time napping (≤ 30 min/day) was associated with increased odds of MetS (aOR = 1.55, 95% CI 1.02-2.36) and long-time napping (> 30 min/day) was associated with even higher odds of MetS (aOR = 1.77, 95%CI 1.24-2.53). Individuals who were over 75 years old, with elementary school education, and good health status had lower odds of MetS, while women, individuals living in rural areas, and those who reported poor health status had higher odds of MetS. CONCLUSION Long-time sleep duration decreased and daytime napping increased the risk of MetS among the elderly Chinese population. We speculate that increasing nighttime sleep duration and decreasing daytime napping may help reduce the risk of MetS.
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Affiliation(s)
- Wei Li
- Department of Epidemiology, Robert Stempel College of Public Health, Florida International University, AHC5, 4th floor, 11200 SW 8th St, Miami, FL, 33199, USA.
| | - Anthony J Kondracki
- School of Medicine, Department of Community Medicine, Mercer University, Savannah, GA, USA
| | - Ning Sun
- Department of Biostatistics, Robert Stempel College of Public Health, Florida International University, Miami, FL, USA
| | - Prem Gautam
- Department of Epidemiology, Robert Stempel College of Public Health, Florida International University, AHC5, 4th floor, 11200 SW 8th St, Miami, FL, 33199, USA
| | | | - Rime Jebai
- Department of Epidemiology, Robert Stempel College of Public Health, Florida International University, AHC5, 4th floor, 11200 SW 8th St, Miami, FL, 33199, USA
| | - Semiu O Gbadamosi
- Department of Epidemiology, Robert Stempel College of Public Health, Florida International University, AHC5, 4th floor, 11200 SW 8th St, Miami, FL, 33199, USA
| | - Wenjie Sun
- The Second Affiliated Hospital, Fujian University of Traditional Chinese Medicine, Fuzhou, , Fujian Province, China. .,School of Public Health and Tropical Medicine, Tulane University, 1440 Canal St, Suite 2100 , New Orleans, LA, 70112, USA.
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