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Wannamethee SG. Napping and Obesity in Adults - What do we Know? Curr Diab Rep 2024:10.1007/s11892-024-01551-5. [PMID: 39145893 DOI: 10.1007/s11892-024-01551-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/29/2024] [Indexed: 08/16/2024]
Abstract
PURPOSE OF REVIEW To review the evidence on the relationship between daytime napping and obesity. RECENT FINDINGS There is concern that napping may be harmful to metabolic health. Prospective studies have shown long time daytime napping (> 1 h) is associated with increased diabetes risk which may be partly associated with obesity. Evidence from numerous cross-sectional studies and meta-analyses of cross-sectional studies have shown that long time napping (> 1 h) but not short time napping is associated with increased risk of obesity, and this is seen worldwide. Inference regarding the nature of association from cross-sectional studies is limited; it is suggested the association is bidirectional. Prospective studies on the association between daytime napping and obesity are few and results unclear. Large longitudinal studies integrating daytime napping duration and night-time sleep behaviour and detailed information on lifestyle influences is needed to help elucidate further the associations of long time napping with obesity.
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Affiliation(s)
- Sasiwarang Goya Wannamethee
- Department Primary Care and Population Health, University College London, Royal Free Campus, London, NW32PF, UK.
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2
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Lee DB, Yoon DW, Baik I. Association of insomnia and daytime napping with metabolic syndrome and its components in a Korean population: an analysis of data from the Korean Genome and Epidemiology Study. Epidemiol Health 2024; 46:e2024031. [PMID: 38453335 PMCID: PMC11099594 DOI: 10.4178/epih.e2024031] [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] [Received: 08/08/2023] [Accepted: 01/24/2024] [Indexed: 03/09/2024] Open
Abstract
OBJECTIVES We investigated the association between metabolic syndrome (MetS) and the coexistence of insomnia and daytime napping, because limited data have been reported regarding this association. METHODS The study population was 8,440 participants aged 40-65 years, who were from the Korean Genome and Epidemiology Study. Self-reported information on insomnia symptoms and nap duration was used to define exposure variables. Data on waist circumference (WC), blood pressure (BP), and fasting blood glucose (FBG), triglyceride (TG), and high-density lipoprotein cholesterol levels in blood were used to define MetS. Multivariate logistic regression analysis was performed to obtain odds ratio (OR) and 95% confidence interval (CI). RESULTS In multivariate logistic regression analysis, the coexistence of insomnia and napping was not significantly associated with MetS. However, the insomnia and non-napping group showed higher ORs of high TG (OR, 1.19; 95% CI, 1.02 to 1.39) and high BP (OR, 1.28; 95% CI, 1.10 to 1.49) than the non-insomnia and non-napping group. The combination of non-insomnia and napping and that of insomnia and napping showed higher ORs of high TG (OR, 1.13; 95% CI, 1.00 to 1.29) and high FBG (OR, 1.59; 95% CI, 1.14 to 2.21), respectively. In analyses of insomnia symptoms, only the combination of difficulty in maintaining sleep (DMS) and non-napping showed a higher OR for MetS (OR, 1.25; 95% CI, 1.03 to 1.52) than the non-DMS and non-napping group. CONCLUSIONS Individuals with insomnia, particularly those who do not take naps, were disproportionately likely to have MetS components, especially TG or BP. Information on these variables may help predict individuals' vulnerability to specific MetS components.
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Affiliation(s)
- Da-Been Lee
- Department of Health and Environmental Science, Korea University, Seoul, Korea
- Sleep Medicine Institute, Jungwon University, Goesan, Korea
| | - Dae-Wui Yoon
- Sleep Medicine Institute, Jungwon University, Goesan, Korea
- Department of Biomedical Laboratory Science, Jungwon University, Goesan, Korea
| | - Inkyung Baik
- Department of Foods and Nutrition, Kookmin University College of Natural Sciences, Seoul, Korea
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Pirzada A, Cai J, Cordero C, Gallo LC, Isasi CR, Kunz J, Thyagaragan B, Wassertheil-Smoller S, Daviglus ML. Risk Factors for Cardiovascular Disease: Knowledge Gained from the Hispanic Community Health Study/Study of Latinos. Curr Atheroscler Rep 2023; 25:785-793. [PMID: 37773246 DOI: 10.1007/s11883-023-01152-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/11/2023] [Indexed: 10/01/2023]
Abstract
PURPOSE OF REVIEW The Hispanic Community Health Study/Study of Latinos (HCHS/SOL) has made important contributions on the prevalence of and factors associated with cardiovascular disease (CVD) risk factors among diverse Hispanic/Latino adults in the US. This article summarizes the knowledge gained thus far on major CVD risk factors from this landmark study. RECENT FINDINGS HCHS/SOL demonstrated the sizeable burdens of CVD risk in all major Hispanic/Latino groups in the US, as well as the marked variations in prevalence of hypertension, hypercholesterolemia, diabetes, obesity, and smoking by sex and background. It also identified sociodemographic, lifestyle, and sociocultural characteristics associated with risk factors. HCHS/SOL has yielded an expanding body of literature on characteristics associated with adverse CVD risk factors in this population. Long-term follow-up of this cohort will shed further light on the observed heterogeneity in CVD risk across Hispanic/Latino groups and identify specific risk/protective factors driving these variations.
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Affiliation(s)
- Amber Pirzada
- Institute for Minority Health Research, University of Illinois Chicago, 1819 W. Polk Street, Suite 246, Chicago, IL, 60612, USA.
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Linda C Gallo
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Carmen R Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - John Kunz
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Bharat Thyagaragan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | | | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois Chicago, 1819 W. Polk Street, Suite 246, Chicago, IL, 60612, USA
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Song Y, Gong L, Lou X, Zhou H, Hao Y, Chen Q, Zhao Y, Jiang X, Li L, Wang X. Sleep-Body Composition Relationship: Roles of Sleep Behaviors in General and Abdominal Obesity in Chinese Adolescents Aged 17-22 Years. Nutrients 2023; 15:4130. [PMID: 37836414 PMCID: PMC10574676 DOI: 10.3390/nu15194130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 09/17/2023] [Accepted: 09/22/2023] [Indexed: 10/15/2023] Open
Abstract
This study aimed to investigate the association between sleep behaviors and body composition, which was measured by bioelectrical impedance analysis (BIA) among Chinese adolescents. Overall, 444 students (65.3% females, 19.12 ± 1.177 years) completed questionnaires describing sleep characteristics. Sleep characteristics were derived from subjective means. Body composition was obtained from BIA by InBody 720 (Biospace Co. Ltd., Seoul, Republic of Korea). Regression models tested relationships between sleep and body composition after adjustment for covariates. Students with weekday nap duration (>30 min/d) exerted higher waist-height ratio (WHtR) (B = 0.013, FDR-corrected p = 0.080). Average sleep duration (≤7 h/d) was linked to more WHtR (B = 0.016, FDR-corrected p = 0.080). People with high social jetlag showed gained visceral fat area (B = 7.475), WHtR (B = 0.015), waist to hip ratio (B = 0.012), fat mass index (B = 0.663) and body fat percentage (B = 1.703) (all FDR-corrected p < 0.1). Individuals with screen time before sleep (>0.5 h) exhibited higher visceral fat area (B = 7.934, FDR-corrected p = 0.064), WHtR (B = 0.017, FDR-corrected p = 0.080), waist to hip ratio (B = 0.016, FDR-corrected p = 0.090), fat mass index (B = 0.902, FDR-corrected p = 0.069) and body fat percentage (B = 2.892, FDR-corrected p = 0.018). We found poor sleep characteristics were closely related to general and abdominal obesity.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Xian Wang
- College of Public Health, Zhengzhou University, No. 100 Science Avenue, Zhengzhou 450001, China; (Y.S.); (L.G.); (X.L.); (H.Z.); (Y.H.); (Q.C.); (Y.Z.); (X.J.); (L.L.)
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Yang L, Han S, Miao C, Lou H, Gao G, Lou X, Hao C, Wang X. Associations of multiple sleep dimensions with overall and abdominal obesity among children and adolescents: a population-based cross-sectional study. Int J Obes (Lond) 2023; 47:817-824. [PMID: 37179449 DOI: 10.1038/s41366-023-01324-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 04/22/2023] [Accepted: 05/02/2023] [Indexed: 05/15/2023]
Abstract
BACKGROUND The relationship of insufficient sleep with the increased risk of obesity has been reported, but less is known about other sleep dimensions in the sleep-obesity associations. OBJECTIVES To assess the associations of multiple sleep dimensions with overall and abdominal obesity among Chinese students. METHODS This was a cross-sectional study involving 10,686 Han students aged 9-18 from Chinese National Survey on Students' Constitution and Health (CNSSCH). We collected sex, age, regions, parental educational levels, physical activity duration and sleep-related information by questionnaire survey, and also conducted anthropometric measurements including height, weight and waist circumference (WC). Unadjusted and adjusted binary logistic regression models were used to estimate the associations of sleep-related dimensions with obesity-related indicators. RESULTS Short sleep duration was associated with higher body mass index (BMI), larger WC and higher waist-to-height ratio (WHtR) in 9-12 and 16-18 age groups, whereas prolonged sleep duration on weekday was associated with higher BMI in 13-15 age group. Non-habitual midday napping and midday napping ≤0.5 h/d (vs 0.5 to 1 h/d) increased the risk of higher BMI in 13-15 age group, and the former was also associated with larger WC in 9-12 age group. Late bedtime was associated with larger WC and higher WHtR in 9-12 age group and with higher BMI and WHtR in 13-15 age group. Students aged 9-12 with social jet lag ≥2 h were found to have greater BMI after adjustment (Odds Ratio: 1.421; 95% confidence interval: 1.066-1.894). CONCLUSIONS Short or overlong sleep duration, late bedtime and great social jet lag were associated with higher prevalence of overall or abdominal obesity, while moderate midday napping can effectively decrease the risk. Those findings may assist in developing preventive strategies to combat obesity epidemic.
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Affiliation(s)
- Liu Yang
- College of Public Health, Zhengzhou University, No.100 Science Avenue, Zhengzhou, 450001, Henan, P. R. China
| | - Shuo Han
- College of Public Health, Zhengzhou University, No.100 Science Avenue, Zhengzhou, 450001, Henan, P. R. China
| | - Chengyuan Miao
- College of Public Health, Zhengzhou University, No.100 Science Avenue, Zhengzhou, 450001, Henan, P. R. China
| | - Hao Lou
- Department of Nosocomial Infection Management, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, P. R. China
| | - Genli Gao
- The Education Department of Henan Province, Zhengzhou, 450018, Henan, P. R. China
| | - Xiaomin Lou
- College of Public Health, Zhengzhou University, No.100 Science Avenue, Zhengzhou, 450001, Henan, P. R. China
| | - Changfu Hao
- College of Public Health, Zhengzhou University, No.100 Science Avenue, Zhengzhou, 450001, Henan, P. R. China
| | - Xian Wang
- College of Public Health, Zhengzhou University, No.100 Science Avenue, Zhengzhou, 450001, Henan, P. R. China.
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Cai Z, Yang Y, Zhang J, Liu Y. The relationship between daytime napping and obesity: a systematic review and meta-analysis. Sci Rep 2023; 13:12124. [PMID: 37495671 PMCID: PMC10372090 DOI: 10.1038/s41598-023-37883-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 06/29/2023] [Indexed: 07/28/2023] Open
Abstract
Daytime napping, a habit widely adopted globally, has an unclear association with obesity. In this study, we executed a meta-analysis to explore the relationship between daytime napping and obesity. We conducted a comprehensive search of the PubMed, Embase, Cochrane Library, Scopus, PsycINFO, and Web of Science databases for pertinent articles published up to April 2023. Random-effects models were utilized to calculate odds ratios (ORs) with 95% confidence intervals (CIs), and we assessed the heterogeneity of the included studies using the I2 statistic. To explore potential sources of heterogeneity, subgroup analyses were performed. The methodological quality of the studies was evaluated using the Newcastle-Ottawa Scale (NOS), and funnel plots were employed to detect any publication bias. Sensitivity analyses were conducted by sequentially omitting each study. We conducted a meta-analysis of twelve studies that included one each from the UK and Spain, five from the USA, and five from China, totalling 170,134 participants, to probe the association between napping and obesity. The pooled analysis suggested a higher risk of obesity in individuals who nap (OR: 1.22 [1.10-1.35], p < 0.001, I2 = 87%) compared to non-nappers. The meta-analysis results revealed variations in the summary ORs for studies conducted in China, Spain, the USA, and the UK. The ORs for China, Spain, the USA, and the UK were 1.05 (95% CI 0.90-1.23), 9.36 (95% CI 4.74-18.45), 1.27 (95% CI 1.10-1.47), and 1.39 (95% CI 1.32-1.47), respectively. A subgroup analysis based on age within the American population disclosed that napping in both adults and children heightened obesity incidence. A subgroup analysis based on nap duration found a significant rise in obesity occurrence when nap duration exceeded one hour, but no clear relationship emerged when nap duration was less than 1 h. In a subgroup analysis based on the definition of obesity, napping did not demonstrate a significant relationship with obesity when diagnostic criteria set obesity at a BMI of 25 or above. However, when the criteria were set at a BMI of 28 or 30 or more, napping significantly increased obesity risk. Our meta-analysis indicates a positive association between daytime napping and the risk of obesity. However, given the limited number of included studies, potential confounding factors might not have been fully addressed. Future well-designed prospective studies are required to further investigate this relationship. Large-scale studies are necessary to confirm our findings and elucidate the underlying mechanisms that drive these associations and causation.
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Affiliation(s)
- Zixin Cai
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Yan Yang
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Jingjing Zhang
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China
| | - Yu Liu
- National Clinical Research Center for Metabolic Diseases, Metabolic Syndrome Research Center, Key Laboratory of Diabetes Immunology, Ministry of Education, and Department of Metabolism and Endocrinology, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
- Department of Nephrology, Hunan Key Laboratory of Kidney Disease and Blood Purification, The Second Xiangya Hospital at Central South University, Changsha, 410011, China.
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Zhou R, Chen HW, Huang YN, Zhong Q, Li FR, Huang RD, Liu HM, Zheng JZ, Xu JW, Wu XB. The association between daytime napping and risk of type 2 diabetes is modulated by inflammation and adiposity: Evidence from 435 342 UK-Biobank participants. J Diabetes 2023. [PMID: 37052293 DOI: 10.1111/1753-0407.13387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 01/07/2023] [Accepted: 03/20/2023] [Indexed: 04/14/2023] Open
Abstract
BACKGROUND Existing evidence concerning the relationship between daytime napping and type 2 diabetes (T2D) is inconsistent, and whether the effects of napping differ by body fat percentage (BFP) and C-reactive protein (CRP) is unclear. We aimed to investigate the association between daytime napping frequency and T2D risk and whether such an association was modified by BFP and CRP. METHODS We included 435 342 participants free of diabetes from the UK Biobank. Participants were categorized as nonnappers, occasional nappers, and frequent nappers based on napping frequency, and BFP/CRP was divided into quartiles. Cox proportional hazards models were used. RESULTS During a median follow-up of 9.2 years, 17 592 T2D cases occurred. Higher frequency of daytime napping was significantly associated with an increased risk of T2D. Compared with nonnappers, the adjusted hazard ratios (HRs) for occasional nappers and habitual nappers were 1.28 (95% confidence interval [CI]: 1.24-1.32) and 1.49 (95% CI: 1.41-1.57), respectively. There was a significant additive and multiplicative interaction (relative excess risk due to interaction [RERI] = 0.490, 95% CI 0.307-0.673; p for multiplicative interaction <.001) between napping and BFP, whereby a higher hazard of T2D associated with more frequent napping was greatest among participants in the highest BFP quartile (HR = 4.45, 95% CI: 3.92-5.06). The results for CRP were similar (RERI = 0.266, 95% CI: 0.094-0.439; p for multiplicative interaction <.001). CONCLUSIONS Higher daytime napping frequency is associated with an increased T2D risk, and such relationships are modified by BFP and CRP. These findings underscore the importance of adiposity and inflammation control to mitigate diabetes risk.
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Affiliation(s)
- Rui Zhou
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, China
| | - Hao-Wen Chen
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, China
| | - Yi-Ning Huang
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, China
| | - Qi Zhong
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, China
| | - Fu-Rong Li
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, China
- School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Rui-Dian Huang
- Public Health Division, Hospital of Zhongluotan Town Baiyun District, Guangzhou, China
| | - Hua-Min Liu
- Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Jia-Zhen Zheng
- Bioscience and Biomedical Engineering Thrust, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China
- Bioscience and Biomedical Engineering Thrust, Systems Hub, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Jia-Wen Xu
- School of Public Health, Southern Medical University, Guangzhou, China
| | - Xian-Bo Wu
- Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, China
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Sun J, Ma C, Zhao M, Magnussen CG, Xi B. Daytime napping and cardiovascular risk factors, cardiovascular disease, and mortality: A systematic review. Sleep Med Rev 2022; 65:101682. [PMID: 36027794 DOI: 10.1016/j.smrv.2022.101682] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 07/20/2022] [Accepted: 07/26/2022] [Indexed: 10/15/2022]
Abstract
Associations between night sleep duration and cardiovascular risk factors in adults have been well documented. However, the associations for daytime napping remain unclear. In this review, six databases were searched for eligible publications to April 8, 2022. A total of 11 articles were identified for umbrella review on the association of daytime napping with diabetes, metabolic syndrome (MetS), cardiovascular disease (CVD), and mortality in adults, 97 for systematic review on the association with CVD and several CVD risk factors. Our umbrella review showed that the associations of daytime napping with diabetes, MetS, CVD, and mortality in most meta-analyses were mainly supported by weak or suggestive evidence. Our systematic review showed that long daytime napping (≥1 h/d) was associated with higher odds of several CVD risk factors, CVD, and mortality, but no significant association was found between short daytime napping and most of the abovementioned outcomes. Our dose-response meta-analyses showed that daytime napping <30 min/d was not significantly associated with higher odds of most CVD risk factors and CVD among young and middle-aged adults. However, among older adults aged >60 years, we observed significant dose-response associations of daytime napping with higher odds of diabetes, dyslipidemia, MetS, and mortality starting from 0 min/d.
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Affiliation(s)
- Jiahong Sun
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Chuanwei Ma
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, Australia; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
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Roncoroni J, Okun M, Hudson A. Systematic review: sleep health in the US Latinx population. Sleep 2022; 45:zsac092. [PMID: 35460556 DOI: 10.1093/sleep/zsac092] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 04/10/2022] [Indexed: 09/19/2023] Open
Abstract
Sleep disturbances are a common and unmet health problem in Latinx. While Latinx report similar sleep disturbances as non-Hispanic Whites [NHW], Latinx suffer from these disturbances to a greater degree than their NHW counterparts. Sleep disturbances are associated with increased risk of chronic health conditions, which Latinx experience at high rates. Research also points to significant sleep differences within Latinx. Given that Latinx are a rapidly growing population in the United States, sleep disparities between Latinx and NHWs and sleep differences within Latinx warrant further investigation. While research on Latinx sleep is growing, the last narrative review on US Latinx sleep health was published by Loredo and colleagues in 2010. Our narrative review expands on Loredo et al.'s work, adding the literature on Latinx sleep published since 2010 (N = 70). A total of 78 peer-reviewed articles related to young to middle-aged (i.e., 18-65 years) healthy Latinx adult sleep were identified in three databases-PsycInfo, PubMed/Medline, and Web of Science. With the socioecological model as framework, this review (1) summarizes current evidence pertaining to sleep health in healthy, community dwelling, urban Latinx adults; (2) discusses measurement challenges related to investigating Latinx sleep disparities and differences; and (3) discusses potential contributors to Latinx sleep. The prevalence of short sleep duration, long sleep duration, and poor sleep quality is high among Latinx; there are differences by Latinx subgroup. Our review identifies several multi-level influences associated with poor sleep: SES, sexual minority status, racial discrimination, access to care, neighborhood environment, and shift work. N = 250/250.
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Affiliation(s)
- Julia Roncoroni
- Department of Counseling Psychology, University of Denver, Denver, CO, USA
| | - Michele Okun
- Psychology Department University of Colorado, Colorado Springs, CO, USA
| | - Amy Hudson
- Department of Counseling Psychology, University of Denver, Denver, CO, USA
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10
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S.V M, Nitin K, Sambit D, Nishant R, Sanjay K. ESI Clinical Practice Guidelines for the Evaluation and Management of Obesity In India. Indian J Endocrinol Metab 2022; 26:295-318. [PMID: 36185955 PMCID: PMC9519829 DOI: 10.4103/2230-8210.356236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Affiliation(s)
- Madhu S.V
- Department of Endocrinology, Centre for Diabetes, Endocrinology and Metabolism, University College of Medical Sciences and Guru Teg Bahadur Hospital, New Delhi, India
| | - Kapoor Nitin
- Department of Endocrinology, Diabetes and Metabolism, Christian Medical College, Vellore, Tamil Nadu, India
| | - Das Sambit
- Department of Endocrinology, Hi Tech Medical College and Hospital, Bhubaneshwar, Odisha, India
| | - Raizada Nishant
- Department of Endocrinology, Bharti Hospital, Karnal, Haryana, India
| | - Kalra Sanjay
- Department of Endocrinology, Bharti Hospital, Karnal, Haryana, India
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11
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Xiao JY, Zhang WS, Jiang CQ, Jin YL, Zhu F, Cheng KK, Lam TH, Xu L. Obesity indicators as mediators of association between daytime napping and type 2 diabetes mellitus: the Guangzhou Biobank Cohort Study. BMC Public Health 2022; 22:56. [PMID: 35012516 PMCID: PMC8744231 DOI: 10.1186/s12889-021-12451-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 12/21/2021] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE To examine the mediating effect of obesity indicators on the association between daytime napping and type 2 diabetes mellitus (T2DM) qualitatively and quantitatively using baseline data from the Guangzhou Biobank Cohort Study. METHODS Twenty-nine thousand three hundred fifty-five participants aged 50+ years were included in this cross-sectional study. Mediation analysis was used to assess the mediating effect of body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) on the association between daytime napping and T2DM after adjustment for sex, age, education, occupation, smoking status, alcohol use and physical activity. RESULTS The mean (standard deviation) age of participants was 61.5 ( 7.1) years. The prevalence of T2DM and daytime napping was 12.5% and 65.2%, respectively. After adjustment for potential confounders, WC, WHR and WHtR showed partial mediating effects on the association between daytime napping and T2DM, with the proportion (95% confidence interval) of mediation effect being 10.17% (8.14-14.43%), 14.91% (11.95-21.24%) and 9.36% (7.49-13.29%), respectively. No mediating effect of BMI or HC on the association between daytime napping and T2DM was found. CONCLUSIONS Our results showed significant mediating effects of WC, WHR and WHtR on the association between daytime napping and T2DM, suggesting that waist circumference management could be important in daytime nappers.
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Affiliation(s)
- Jing Yi Xiao
- School of Public Health, Sun Yat-sen University, No. 74 Zhongshan 2nd Road, Guangzhou, Guangdong Province, China
| | - Wei Sen Zhang
- Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China
| | | | - Ya Li Jin
- Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China
| | - Feng Zhu
- Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China
| | - Kar Keung Cheng
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Tai Hing Lam
- School of Public Health, the University of Hong Kong, Hong Kong, Hong Kong
| | - Lin Xu
- School of Public Health, Sun Yat-sen University, No. 74 Zhongshan 2nd Road, Guangzhou, Guangdong Province, China. .,School of Public Health, the University of Hong Kong, Hong Kong, Hong Kong.
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Ogugu EG, Catz SL, Bell JF, Drake C, Bidwell JT, Gangwisch JE. Factors associated with habitual sleep duration in US adults with hypertension: a cross-sectional study of the 2015-2018 National Health and Nutrition Examination Survey. BMC Public Health 2022; 22:43. [PMID: 34991527 PMCID: PMC8739698 DOI: 10.1186/s12889-021-12465-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Accepted: 12/20/2021] [Indexed: 12/22/2022] Open
Abstract
Background The relationship between inadequate sleep duration and hypertension risk has been established in the general population, but there is a gap in the literature on predictors of habitual sleep duration in adults with hypertension. This study examined factors associated with habitual sleep duration among adults with hypertension in the United States (US). Methods Data of 5660 adults with hypertension were obtained by combining the 2015–2018 cycles of the National Health and Nutrition Examination Survey (NHANES). Survey weighted multinomial logistic regression models were fit to examine factors associated with short (< 7 h) and long (> 9 h) sleep duration with adequate sleep duration (7–9 h) as the reference. Results The prevalence of self-reported adequate sleep duration was 65.7%, while short sleep duration was 23.6%, and long sleep duration 10.7%. Short sleep duration (compared to adequate sleep duration) was positively associated with history of seeking help for sleeping difficulties (relative risk ratio [RRR], 1.25; 95% confidence interval [CI], 1.02–1.53), Non-Hispanic Black race/ethnicity (RRR, 2.08; 95% CI, 1.61–2.67), working ≥45 h/week (RRR, 1.81; 95% CI, 1.32–2.48), and negatively associated with older age ≥ 65 years (RRR, 0.63; 95% CI, 0.45–0.91) and female gender (RRR, 0.70; 95% CI, 0.56–0.88). Long sleep duration was positively associated with female gender (RRR, 1.24; 95% CI, 1.001–1.54), chronic kidney disease (RRR, 1.48; 95% CI, 1.14–1.92), moderate depressive symptoms (RRR, 1.62; 95% CI, 1.08–2.44), moderately severe to severe depressive symptoms (RRR, 1.89; 95% CI, 1.05–3.43), being in retirement (RRR, 3.46; 95% CI, 2.18–5.49), and not working due to health reasons (RRR, 4.87; 95% CI, 2.89–8.22) or other reasons (RRR, 3.29; 95% CI, 1.84–5.88). Conclusion This population-based study identified factors independently associated with habitual sleep duration in adults with hypertension. These included help-seeking for sleeping difficulty, gender, age, chronic kidney disease, depressive symptoms, race/ethnicity, and employment status. These findings can help in the development of tailored approaches for promoting adequate sleep duration in adults with hypertension. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-021-12465-2.
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Affiliation(s)
- Everlyne G Ogugu
- Betty Irene Moore School of Nursing, University of California, Davis 2570 48th Street, Sacramento, CA, 95817, USA.
| | - Sheryl L Catz
- Betty Irene Moore School of Nursing, University of California, Davis 2570 48th Street, Sacramento, CA, 95817, USA
| | - Janice F Bell
- Betty Irene Moore School of Nursing, University of California, Davis 2570 48th Street, Sacramento, CA, 95817, USA
| | - Christiana Drake
- Department of Statistics, University of California, Davis 399 Crocker Ln, Davis, CA, 95616, USA
| | - Julie T Bidwell
- Betty Irene Moore School of Nursing, University of California, Davis 2570 48th Street, Sacramento, CA, 95817, USA
| | - James E Gangwisch
- Department of Psychiatry, Columbia University, 1051 Riverside Drive, New York, NY, 10032, USA
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Li X, Chattopadhyay K, Qian X, Yu J, Xu M, Li L, Sun J, Li J. Association Between Sleep Duration and Albuminuria in Patients with Type 2 Diabetes: A Cross-Sectional Study in Ningbo, China. Diabetes Metab Syndr Obes 2022; 15:1667-1675. [PMID: 35669361 PMCID: PMC9166454 DOI: 10.2147/dmso.s366064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 05/24/2022] [Indexed: 11/23/2022] Open
Abstract
PURPOSE Type 2 diabetes mellitus (T2DM) can lead to microvascular complications including diabetic kidney disease. Albuminuria is an important marker to diagnose kidney injury in T2DM patients and healthy sleep duration is important for maintaining good health in patients with T2DM. However, the association between sleep duration and albuminuria in T2DM patients is unclear. Thus, this study aimed to investigate the association between sleep duration and albuminuria in patients with T2DM in Ningbo, China. METHODS A cross-sectional study was conducted at National Metabolic Management Centre (MMC) - Ningbo First Hospital from March 2018 to February 2021. Adult patients with T2DM were included in the study. The sleep duration (daytime and nocturnal) was self-reported. Albuminuria was defined as the presence of urinary albumin-creatinine ratio ≥30 mg/g. Logistic regression analyses were performed to identify the association. RESULTS There were 2688 T2DM patients in the study. In the unadjusted model (1), the odds of albuminuria increased with the daytime sleep duration (31-60 minutes: OR 1.36, 95% CI 1.09-1.71; ≥61 minutes: 1.73, 1.33-2.24). Similarly, after adjusting for age and sex (model 2), the odds of albuminuria increased with the daytime sleep duration (31-60 minutes: 1.34, 1.07-1.68; ≥61 minutes: 1.69, 1.30-2.20). After adjusting for age, sex, physical activity, smoking, alcohol drinking, overweight/obesity, hypertension, hyperuricaemia, duration of T2DM, glycated haemoglobin, angiotensin-converting enzyme inhibitors/angiotensin receptor blocker usage and nocturnal sleep duration (model 3), the odds of albuminuria increased with the daytime sleep duration (31-60 minutes: 1.33, 1.04-1.71; ≥61 minutes: 1.71, 1.29-2.26). However, no relationship was found between nocturnal sleep duration and albuminuria. CONCLUSION Longer daytime sleep is found to be associated with albuminuria in patients with T2DM in Ningbo, China but no association is found between nocturnal sleep duration and albuminuria. The findings are exploratory, and there is a need for longitudinal studies on this topic.
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Affiliation(s)
- Xueyu Li
- Department of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, People’s Republic of China
- Medical School, Ningbo University, Ningbo, People’s Republic of China
| | - Kaushik Chattopadhyay
- Lifespan and Population Health Academic Unit, School of Medicine, University of Nottingham, Nottingham, UK
| | - Xingjun Qian
- Health Management Centre, Ningbo First Hospital, Ningbo, People’s Republic of China
| | - Jingjia Yu
- Department of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, People’s Republic of China
| | - Miao Xu
- Department of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, People’s Republic of China
| | - Li Li
- Department of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, People’s Republic of China
| | - Jing Sun
- School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia
- Menzies Health Institute Queensland, Griffith University, Gold Coast, Queensland, Australia
| | - Jialin Li
- Department of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, People’s Republic of China
- Correspondence: Jialin Li; Jing Sun, Email ;
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Gribble AK, Sayón-Orea C, Bes-Rastrollo M, Kales SN, Shirahama R, Martínez-González MÁ, Fernandez-Montero A. Risk of Developing Metabolic Syndrome Is Affected by Length of Daily Siesta: Results from a Prospective Cohort Study. Nutrients 2021; 13:nu13114182. [PMID: 34836438 PMCID: PMC8619148 DOI: 10.3390/nu13114182] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 11/17/2021] [Accepted: 11/19/2021] [Indexed: 11/19/2022] Open
Abstract
Background: Siesta has been associated with increased incidence of cardiovascular disease but the mechanism remains unclear. New studies into the relationship between siesta and metabolic syndrome have identified siesta length as a crucial differential, suggesting that siesta less than 40 min is associated with decreased risk of metabolic syndrome, while longer siesta is associated with increased risk. We aimed to investigate the effect of siesta duration on development of metabolic syndrome in a Mediterranean population using a prospective cohort study design. Methods: Our sample consisted of 9161 participants of the SUN cohort without components of metabolic syndrome at baseline. Siesta exposure was assessed at baseline and the development of metabolic syndrome components was assessed after an average 6.8 years of follow-up. We estimated odds ratios and fitted logistic regression models to adjust for potential cofounders including night-time sleep duration and quality, as well as other diet, health, and lifestyle factors. Results: We observed a positive association between average daily siesta >30 min and development of metabolic syndrome (aOR = 1.39 CI: 1.03–1.88). We found no significant difference in risk of developing metabolic syndrome between the group averaging ≤30 min of daily siesta and the group not taking siesta (aOR = 1.07 CI: 0.83–1.37). Further analysis suggested that average daily siesta <15 min may reduce risk of metabolic syndrome. Conclusions: Our study supports the J-curve model of the association between siesta and risk of metabolic syndrome, but suggests the protective effect is limited to a shorter range of siesta length than previously proposed.
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Affiliation(s)
- Anne Katherine Gribble
- School of Medicine, University of Sydney, Camperdown 2050, Australia;
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (C.S.-O.); (M.B.-R.); (M.Á.M.-G.)
- Illawarra and Shoalhaven Local Health District, NSW Health, Wollongong 2500, Australia
| | - Carmen Sayón-Orea
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (C.S.-O.); (M.B.-R.); (M.Á.M.-G.)
- Navarra Institute for Health Research (IdiSNa), 31008 Pamplona, Spain
- Navarra Public Health Institute, 31003 Pamplona, Spain
- CIBERobn, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (C.S.-O.); (M.B.-R.); (M.Á.M.-G.)
- Navarra Institute for Health Research (IdiSNa), 31008 Pamplona, Spain
- CIBERobn, Instituto de Salud Carlos III, 28029 Madrid, Spain
| | - Stefanos N. Kales
- Department of Environmental Health, Harvard T.H Chan School of Public Health, Boston, MA 02115, USA; (S.N.K.); (R.S.)
- Department of Occupational Medicine, Cambridge Health Alliance, Harvard Medical School, Cambridge, MA 02139, USA
| | - Ryutaro Shirahama
- Department of Environmental Health, Harvard T.H Chan School of Public Health, Boston, MA 02115, USA; (S.N.K.); (R.S.)
- Department of Public Health, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan
- Faculty of Science and Technology, Keio University, Kanagawa 223-8522, Japan
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (C.S.-O.); (M.B.-R.); (M.Á.M.-G.)
- Navarra Institute for Health Research (IdiSNa), 31008 Pamplona, Spain
- CIBERobn, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Nutrition, Harvard T.H Chan School of Public Health, Boston, MA 02115, USA
| | - Alejandro Fernandez-Montero
- Navarra Institute for Health Research (IdiSNa), 31008 Pamplona, Spain
- Department of Environmental Health, Harvard T.H Chan School of Public Health, Boston, MA 02115, USA; (S.N.K.); (R.S.)
- Department of Occupational Medicine, University of Navarra Clinic, Av. Pio XII, 36, 31008 Pamplona, Spain
- Correspondence: ; Tel.: +34-948-255400; Fax: +34-948-296500
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Wang N, Zou J, Fang S, Zhou J. Association between daytime napping and obesity in Chinese middle-aged and older adults. J Glob Health 2021; 10:020804. [PMID: 33312510 PMCID: PMC7719355 DOI: 10.7189/jogh.10.020804] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Background No studies have assessed the association between daytime napping and obesity in China. The study aimed to examine the association between daytime napping and obesity among Chinese middle-aged and older adults, and to evaluate the difference between the aforementioned association in men and women. Methods Overall, 14 685 participants aged 45 years and older were included by using data from China Health and Retirement Longitudinal Study (CHARLS) in 2015. A multivariable logistic regression model was used to investigate the relationship between daytime napping and obesity after adjusting for potential confounders. Stratified analyses were performed to examine the association differences by sex. Besides, the Cochran-Armitage test for trend was used to detect if there was a significant dose-response relationship between daytime napping and obesity. Results The mean age of participants was 60.32, and the mean daytime napping duration was 38.97 minutes. In the sample, compared with no daytime napping group, the risks of being obese were higher in both moderate daytime napping group (1-60 minute/d) (odds ratio OR = 1.27, 95% confidence interval (CI) = 1.13-1.44) and extend long daytime napping group (>60 minute/d) (OR = 1.34, 95% CI = 1.15-1.56). In sex stratification, these significant correlations only existed in women but not in men. Compared with no daytime napping, women who napped 1-60 minute/d and over 60 minute/d were more likely to be obese (OR = 1.37, 95% CI = 1.18-1.59 and OR = 1.49, 95% CI = 1.23-1.81, respectively). Besides, the Cochran-Armitage trend test revealed that the prevalence rate of obesity increased as the daytime napping duration increased (P < 0.001). Conclusions The study established the relationship between daytime napping and obesity in a general Chinese population. The association, however, was only detected among women. Furthermore, there was a dose-response relationship between daytime napping and obesity among women. Future studies may verify this association by using a longitudinal design and focus on the mechanisms behind such association.
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Affiliation(s)
- Nan Wang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Junyi Zou
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Shu Fang
- Department of Medicine, The University of Hong Kong, Hong Kong
| | - Junmin Zhou
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
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Zhao B, Sun S, He X, Yang J, Ma X, Yan B. Sleep fragmentation and the risk of obesity: The Sleep Heart Health Study. Obesity (Silver Spring) 2021; 29:1387-1393. [PMID: 34196121 DOI: 10.1002/oby.23193] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 03/06/2021] [Accepted: 04/02/2021] [Indexed: 12/30/2022]
Abstract
OBJECTIVE Sleep disturbances have been recognized as a risk factor for obesity. This study used polysomnography records to investigate associations between sleep fragmentation and obesity. METHODS Objectively measured sleep fragmentation data recorded by in-home polysomnography, including total arousal index (ArI-total), ArI in rapid eye movement (REM) sleep (ArI-REM), ArI in non-REM sleep (ArI-NREM), sleep fragmentation index, sleep efficiency (SE), and wake after sleep onset (WASO), were based on the Sleep Heart Health Study (2,835 men and 2,888 women with a mean [SD] age of 63.2 [11.2] years). Multivariable regression analyses were used to examine the relationship between sleep fragmentation and obesity. RESULTS Multinomial logistic regression showed that participants with obesity have a significantly higher ArI-total (odds ratio [OR] 1.018; 95% CI: 1.010-1.026, p < 0.001), ArI-REM (OR 1.010; 95% CI: 1.002-1.018, p = 0.009), ArI-NREM (OR 1.017; 95% CI: 1.009-1.024, p < 0.001), and WASO (OR 1.003; 95% CI: 1.001-1.005, p = 0.007) compared with those with normal weight. Furthermore, multiple linear regression analyses showed an obvious correlation between ArI-total, ArI-REM, ArI-NREM, SE, WASO, and BMI. CONCLUSIONS The results revealed that ArI-total, ArI-REM, ArI-NREM, SE, and WASO were associated with obesity. The improvement of sleep fragmentation may contribute to decreasing the risk of obesity.
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Affiliation(s)
- Binbin Zhao
- Department of Psychiatry, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Shuliu Sun
- Department of Obstetrics and Gynecology, Northwest Women's and Children's Hospital, Xi'an, China
- Department of Clinical Research Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Xiaoyan He
- Department of Psychiatry, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jian Yang
- Department of Psychiatry, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Department of Clinical Research Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Xiancang Ma
- Department of Psychiatry, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Bin Yan
- Department of Psychiatry, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
- Department of Clinical Research Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
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Kaur SS, Tarraf W, Wu B, Gonzalez KA, Daviglus M, Shah N, Sotres-Alvarez D, Gallo LC, Wohlgemuth W, Redline S, Gonzalez HM, Ramos AR. Modifying pathways by age and sex for the association between combined sleep disordered breathing and long sleep duration with neurocognitive decline in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Alzheimers Dement 2021; 17:1950-1965. [PMID: 34032354 DOI: 10.1002/alz.12361] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 02/09/2021] [Accepted: 04/07/2021] [Indexed: 12/10/2022]
Abstract
INTRODUCTION We aimed to determine whether obesity or metabolic syndrome (MetS) modify associations between sleep-disordered breathing (SDB), self-reported sleep duration (SD), and phenotypes of combined SDB/SD with 7-year neurocognitive decline (ND) in a community based-cohort of U.S. Hispanic/Latinos (N = 5500) in different age and sex groups. METHODS The exposures were baseline SDB (respiratory event index ≥ 15), sleepiness (Epworth Sleepiness Scale ≥ 10), SD (< 6 hours, 6-9 hours, ≥ 9 hours). The outcome was 7-year ND. RESULTS Mean age was 56.0 years, 54.8% were females. Obesity modified the association between SDB/SD and ND in memory (F = 21.49, P < 0.001) and global cognition (F = 9.14, P < 0.001) in the oldest age group. Women without MetS with combined long sleep/SDB exhibited most pronounced decline in global cognition (F = 3.07, P = 0.010). DISCUSSION The association between combined SDB/long sleep and declines in memory and global cognition was most pronounced in obese older adults. Among women, MetS status modified the association between long sleep/SDB and decline in global cognition.
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Affiliation(s)
- Sonya S Kaur
- University of Miami Miller School of Medicine, Miami, Florida, USA.,Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
| | | | - Benson Wu
- University of California San Diego, San Diego, California, USA
| | | | | | - Neomi Shah
- Mount Sinai Icahn School of Medicine, New York, New York, USA
| | | | - Linda C Gallo
- San Diego State University, San Diego, California, USA
| | | | - Susan Redline
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Alberto R Ramos
- University of Miami Miller School of Medicine, Miami, Florida, USA.,Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, Florida, USA
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The association of sleep duration and feeling rested with health in U.S. Hispanic women. Sleep Med 2021; 83:54-62. [PMID: 33990067 DOI: 10.1016/j.sleep.2021.03.044] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 03/11/2021] [Accepted: 03/30/2021] [Indexed: 02/05/2023]
Abstract
This study aims to understand the health correlates of sleep deficiencies in non-elderly U.S. Hispanic1 women. Data from a sample of U.S. Hispanic women (n = 1531; ages 18-65 [M = 39.98; SD = 12.85]) who completed the 2017 National Health Interview Survey were analyzed to understand (1) sleep duration and quality; (2) the association of sleep patterns with key health indicators; and (3) whether these relationships are mediated by health behaviors (ie, healthy eating and physical activity). Shorter sleep duration was associated with a higher likelihood of often feeling anxious and having hypertension. Worse sleep quality was associated with a higher likelihood of being overweight, having fair or poor health status, often feeling depressed, often feeling anxious, having high cholesterol, and having asthma. Doctor's recommendation to engage in physical activity and to decrease calorie intake served as mediators in some of these relationships. Results indicate that among Hispanic women: (1) sleep is an important determinant of a variety of health outcomes and (2) the association of sleep and many health outcomes are mediated by healthy eating and physical activity. Further research on the association of sleep and risk of chronic disease among Hispanic women is needed.
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Paixão TM, Teixeira LR, Cozendey-Silva EN, Siqueira CEG. Nocturnal awakenings of Brazilian immigrants in Massachusetts. Sleep Sci 2021; 14:39-46. [PMID: 34104336 PMCID: PMC8157785 DOI: 10.5935/1984-0063.20200040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 07/20/2020] [Indexed: 11/20/2022] Open
Abstract
OBJECTIVE The purpose of this study was to assess the relationship between the quantity of jobs and nocturnal awakenings of Brazilians living in Massachusetts. MATERIAL AND METHODS We sampled of 48 documented Brazilians around the age of 45.5 years old. 52.1% of them were women. Data gathering occurred for three weeks, using the Pittsburgh Sleep Quality Index. Participants also wore wrist actigraph and filled sleep/wake diary for a week. RESULTS The sleep quality of immigrants with one job (mean=8.58, SD=4.16) is better when compared to immigrants with 2-3 jobs (mean=12.7, SD=3.57) according to the PSQI scores. Immigrants with 2-3 jobs reported dissatisfaction on three components of the scale: sleep duration, sleep efficiency and sleep quality. DISCUSSION There is a positive relationship between the quantity of jobs and nocturnal awakenings and between nocturnal awakenings and complaints related to sleep apnea among Brazilians in Massachusetts. The assessment of systemic morbidities associated with sleep pattern changes should be considered in future research.
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Affiliation(s)
- Talita Monsores Paixão
- Oswaldo Cruz Foundation, National School of Public Health Sergio Arouca - Rio de Janeiro - RJ - Brazil
| | - Liliane Reis Teixeira
- Oswaldo Cruz Foundation, National School of Public Health Sergio Arouca - Rio de Janeiro - RJ - Brazil
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Savin KL, Patel SR, Clark TL, Bravin JI, Roesch SC, Sotres-Alvarez D, Mossavar-Rahmani Y, Evenson KR, Daviglus M, Ramos AR, Zee PC, Gellman MD, Gallo LC. Relationships of Sleep Duration, Midpoint, and Variability with Physical Activity in the HCHS/SOL Sueño Ancillary Study. Behav Sleep Med 2021; 19:577-588. [PMID: 32946277 PMCID: PMC7969471 DOI: 10.1080/15402002.2020.1820335] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE/BACKGROUND Short and long sleep duration, later sleep midpoint, and greater intra-individual sleep variability are associated with lower physical activity, but previous research lacks objective and concurrent assessment of sleep and physical activity. This cross-sectional study examined whether sleep duration, midpoint, and variability in duration and midpoint were related to wrist actigraphy-measured physical activity. PARTICIPANTS Participants were 2156 Hispanics/Latinos in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Sueño Ancillary Study. METHODS Participants wore Actiwatch devices to measure sleep and physical activity via the wrist for ≥5 days. Physical activity was defined as minutes/day in the upper quartile of the sampling distribution's non-sleep activity, capturing light to vigorous physical activity. RESULTS An inverse linear relationship between sleep duration and physical activity was found such that each additional sleep hour related to 29 fewer minutes of physical activity (B = -28.7, SE = 3.8), p < .01). Variability in sleep midpoint was also associated with physical activity; with each 1-hr increase in variability there were 24 more minutes of physical activity (B = 24.2, SE = 5.6, p < .01). In contrast, sleep midpoint and variability in duration were not associated with physical activity. Sensitivity analyses identified an association of short sleep duration and greater variability in sleep duration with greater accelerometry-derived moderate-to-vigorous physical activity measured at the HCHS/SOL baseline (M = 2.1 years before the sleep assessment). CONCLUSIONS Findings help clarify inconsistent prior research associating short sleep duration and sleep variability with greater health risks but also contribute novel information with simultaneous objective assessments.
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Affiliation(s)
- Kimberly L. Savin
- San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego
| | - Sanjay R. Patel
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh
| | - Taylor L. Clark
- San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego
| | - Julia I. Bravin
- San Diego State University/University of California, San Diego Joint Doctoral Program in Clinical Psychology, San Diego
| | - Scott C. Roesch
- Department of Psychology, San Diego State University, San Diego
| | - Daniela Sotres-Alvarez
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill
| | | | - Kelly R. Evenson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill
| | - Martha Daviglus
- Department of Preventive Medicine, University of Illinois at Chicago, Chicago
| | | | - Phyllis C. Zee
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago
| | | | - Linda C. Gallo
- Department of Psychology, San Diego State University, San Diego;,Correspondence to: Linda C. Gallo. ; Mail: 780 Bay Boulevard, Suite 200, Chula Vista, CA, USA
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Berdina ON, Madaeva IM, Bolshakova SE, Tsykunova MV, Sholokhov LF, Rashidova MA, Bugun OV, Rychkova LV. Circadian Melatonin Secretion In Obese Adolescents With Or Without Obstructive Sleep Apnea. RUSSIAN OPEN MEDICAL JOURNAL 2020. [DOI: 10.15275/rusomj.2020.0402] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Objective — To compare melatonin levels in saliva during a 24-hr day in order to identify the specificities of circadian melatonin secretion in obese adolescents with or without obstructive sleep apnea (OSA). Material and Methods — We examined 18 obese adolescents with OSA, 12 obese adolescents without OSA, and 15 healthy adolescents with a normal body weight, from whom saliva was sampled four time during the 24-hr day. Polysomnography was used to diagnose OSA. Saliva samples (n=180) were subjected to enzyme-linked immunosorbent assay. Results — Obese adolescents with OSA had higher evening melatonin levels than obese adolescents without OSA. For example, this indicator in OSA patients was 5.3 times higher than in participants without OSA, who had the lowest evening melatonin level among all groups. In both obese groups, nighttime melatonin levels were significantly lower than in the control group. A positive correlation was detected between the levels of morning and afternoon melatonin and body mass index only in obese adolescents without OSA (r=0.58; p=0.03 and r=0.68; p=0.01, respectively). It was found that evening melatonin correlated with minimum blood oxygen saturation (SaO2) in the entire sample of adolescents with OSA (r=-0.69; p=0.008), and it also correlated with time with SaO2 <90% in the group with clinical manifestations of OSA (r=0.76; p=0.003). Nighttime melatonin levels negatively correlated with the minimum SaO2 value solely in the group with clinical manifestations of OSA (r=-0.58; p=0.035). Conclusion — The circadian melatonin secretion in obese adolescents differed, depending on the presence or absence of OSA, and correlated with the level of oxygen desaturation in OSA patients, to a greater extent – in the presence of clinical manifestations.
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Affiliation(s)
- Olga N. Berdina
- Scientific Centre for Family Health and Human Reproduction Problems
| | - Irina M. Madaeva
- Scientific Centre for Family Health and Human Reproduction Problems
| | | | - Maria V. Tsykunova
- Clinic of Scientific Centre for Family Health and Human Reproduction Problems
| | | | | | - Olga V. Bugun
- Scientific Centre for Family Health and Human Reproduction Problems
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Cooper AR, Loeb KL, McGlinchey EL. Sleep and eating disorders: current research and future directions. Curr Opin Psychol 2020; 34:89-94. [DOI: 10.1016/j.copsyc.2019.11.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 11/03/2019] [Accepted: 11/20/2019] [Indexed: 11/28/2022]
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Neighborhoods to Nucleotides - Advances and gaps for an obesity disparities systems epidemiology model. CURR EPIDEMIOL REP 2019; 6:476-485. [PMID: 36643055 PMCID: PMC9839192 DOI: 10.1007/s40471-019-00221-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Purpose of Review Disparities in obesity rates in the US continue to increase. Here we review progress and highlight gaps in understanding disparities in obesity with a focus on the Hispanic/Latino population from a systems epidemiology framework. We review seven domains: environment, behavior, biomarkers, nutrition, microbiome, genomics, and epigenomics/transcriptomics. We focus on recent advances that include at least two or more of these domains, and then provide a real world example of data collection efforts that reflect these domains. Recent Findings Research into DNA methylation related to discrimination and microbiome relating to eating behaviors and food content is furthering understanding of why disparities in obesity persist. Environmental and neighborhood level research is uncovering the importance of exposures such as air and noise pollution and systematic or structural racism for obesity and related outcomes through behaviors such as sleep.
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24
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Papandreou C, Díaz-López A, Babio N, Martínez-González MA, Bulló M, Corella D, Fitó M, Romaguera D, Vioque J, Alonso-Gómez ÁM, Wärnberg J, Martínez AJ, Serra-Majem L, Estruch R, Fernández-García JC, Lapetra J, Pintó X, Tur JA, Garcia-Rios A, Bueno-Cavanillas A, Delgado-Rodríguez M, Matía-Martín P, Daimiel L, Martín-Sánchez V, Vidal J, Vázquez C, Ros E, Buil-Cosiales P, Becerra-Tomas N, Martinez-Lacruz R, Schröder H, Konieczna J, Garcia-de-la-Hera M, Moreno-Rodriguez A, Barón-López J, Pérez-Farinós N, Abete I, Bautista-Castaño I, Casas R, Muñoz-Garach A, Santos-Lozano JM, Trias F, Gallardo-Alfaro L, Ruiz-Canela M, Barragan R, Goday A, Galmés-Panadés AM, González-Botella A, Vaquero-Luna J, Toledo E, Castañer O, Salas-Salvadó J. Long Daytime Napping Is Associated with Increased Adiposity and Type 2 Diabetes in an Elderly Population with Metabolic Syndrome. J Clin Med 2019; 8:jcm8071053. [PMID: 31330940 PMCID: PMC6678571 DOI: 10.3390/jcm8071053] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Revised: 07/03/2019] [Accepted: 07/08/2019] [Indexed: 12/16/2022] Open
Abstract
Research examining associations between objectively-measured napping time and type 2 diabetes (T2D) is lacking. This study aimed to evaluate daytime napping in relation to T2D and adiposity measures in elderly individuals from the Mediterranean region. A cross-sectional analysis of baseline data from 2190 elderly participants with overweight/obesity and metabolic syndrome, in the PREDIMED-Plus trial, was carried out. Accelerometer-derived napping was measured. Prevalence ratios (PR) and 95% confidence intervals (CI) for T2D were obtained using multivariable-adjusted Cox regression with constant time. Linear regression models were fitted to examine associations of napping with body mass index (BMI) and waist circumference (WC). Participants napping ≥90 min had a higher prevalence of T2D (PR 1.37 (1.06, 1.78)) compared with those napping 5 to <30 min per day. Significant positive associations with BMI and WC were found in those participants napping ≥30 min as compared to those napping 5 to <30 min per day. The findings of this study suggest that longer daytime napping is associated with higher T2D prevalence and greater adiposity measures in an elderly Spanish population at high cardiovascular risk.
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Affiliation(s)
- Christopher Papandreou
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició,Universitat Rovira i Virgili, 43201 Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, 43201 Reus, Spain
| | - Andrés Díaz-López
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició,Universitat Rovira i Virgili, 43201 Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, 43201 Reus, Spain
| | - Nancy Babio
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició,Universitat Rovira i Virgili, 43201 Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, 43201 Reus, Spain
| | - Miguel A Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31009 Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Mónica Bulló
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició,Universitat Rovira i Virgili, 43201 Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, 43201 Reus, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Montse Fitó
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Cardiovascular Risk and Nutrition research group (CARIN), Hospital del Mar Research Institute (IMIM), 08003 Barcelona, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Clinical Epidemiology and Public Health Department, Health Research Institute of the Balearic Islands (IdISBa), 07122 Palma de Mallorca, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28009 Madrid, Spain
- Universidad Miguel Hernández, ISABIAL-FISABIO, 03202 Alicante, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Cardiology, Organización Sanitaria Integrada (OSI) ARABA, University Hospital Araba, 01009 Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Nursing, School of Health Sciences, University of Málaga-IBIMA, 29016 Málaga, Spain
| | - Alfredo J Martínez
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Nutrition, Food Science and Physiology, University of Navarra, IDISNA, 43204 Pamplona, Spain
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Lluís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- University of Las Palmas de Gran Canaria, Research Institute of Biomedical and Health Sciences (IUIBS), Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35001 Las Palmas, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - José C Fernández-García
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Virgen de la Victoria Hospital, Department of Endocrinology. Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29016 Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands & Health Research Institute of the Balearic Islands (IdISBa), 07122 Palma de Mallorca, Spain
| | - Antonio Garcia-Rios
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14071 Cordoba, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28009 Madrid, Spain
- Department of Preventive Medicine, University of Granada, 18071 Granada, Spain
| | - Miguel Delgado-Rodríguez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28009 Madrid, Spain
- Division of Preventive Medicine, Faculty of Medicine, University of Jaén, 23071 Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Vicente Martín-Sánchez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28009 Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain
| | - Josep Vidal
- CIBER Diabetes y enfermedades Metabólicos (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Endocrinology and Nutrition Department, Hospital Clinic Universitari, 08036 Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), 08036 Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Endocrinology and Nutrition, University Hospital Fundación Jimenez Díaz, 28040 Madrid, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Lipid Clinic, Endocrinology and Nutrition Service, Institut d'Investigacions Biomediques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08007 Barcelona, Spain
| | - Pilar Buil-Cosiales
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31009 Pamplona, Spain
| | - Nerea Becerra-Tomas
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició,Universitat Rovira i Virgili, 43201 Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, 43201 Reus, Spain
| | - Raul Martinez-Lacruz
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Helmut Schröder
- Cardiovascular Risk and Nutrition research group (CARIN), Hospital del Mar Research Institute (IMIM), 08003 Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28009 Madrid, Spain
| | - Jadwiga Konieczna
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Clinical Epidemiology and Public Health Department, Health Research Institute of the Balearic Islands (IdISBa), 07122 Palma de Mallorca, Spain
| | - Manoli Garcia-de-la-Hera
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28009 Madrid, Spain
- Universidad Miguel Hernández, ISABIAL-FISABIO, 03202 Alicante, Spain
| | - Anai Moreno-Rodriguez
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Cardiology, Organización Sanitaria Integrada (OSI) ARABA, University Hospital Araba, 01009 Vitoria-Gasteiz, Spain
| | - Javier Barón-López
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Public Health, University of Málaga-IBIMA, 29016 Málaga, Spain
| | - Napoleón Pérez-Farinós
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Public Health, University of Málaga-IBIMA, 29016 Málaga, Spain
| | - Itziar Abete
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Nutrition, Food Science and Physiology, University of Navarra, IDISNA, 43204 Pamplona, Spain
| | - Inmaculada Bautista-Castaño
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- University of Las Palmas de Gran Canaria, Research Institute of Biomedical and Health Sciences (IUIBS), Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35001 Las Palmas, Spain
| | - Rosa Casas
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Araceli Muñoz-Garach
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Virgen de la Victoria Hospital, Department of Endocrinology. Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29016 Málaga, Spain
| | - José M Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Ferran Trias
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain
- Fundación para la Investigación y Prevención de Enfermedades Cardiovasculares (FIPEC), 08021 Barcelona, Spain
| | - Laura Gallardo-Alfaro
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands & Health Research Institute of the Balearic Islands (IdISBa), 07122 Palma de Mallorca, Spain
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31009 Pamplona, Spain
| | - Rocio Barragan
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Alberto Goday
- Cardiovascular Risk and Nutrition research group (CARIN), Hospital del Mar Research Institute (IMIM), 08003 Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28009 Madrid, Spain
| | - Aina M Galmés-Panadés
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Clinical Epidemiology and Public Health Department, Health Research Institute of the Balearic Islands (IdISBa), 07122 Palma de Mallorca, Spain
| | - Andrés González-Botella
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28009 Madrid, Spain
- Centro de Salud el Raval-Elx, 03203 Elche, Alicante, Spain
| | - Jessica Vaquero-Luna
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Cardiology, Organización Sanitaria Integrada (OSI) ARABA, University Hospital Araba, 01009 Vitoria-Gasteiz, Spain
| | - Estefanía Toledo
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, 31009 Pamplona, Spain
| | - Olga Castañer
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
- Cardiovascular Risk and Nutrition research group (CARIN), Hospital del Mar Research Institute (IMIM), 08003 Barcelona, Spain
| | - Jordi Salas-Salvadó
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició,Universitat Rovira i Virgili, 43201 Reus, Spain.
- Institut d'Investigació Sanitària Pere Virgili (IISPV), 43201 Reus, Spain.
- Centro de Investigación Biomédica en Red Fisiopatologia de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain.
- Nutrition Unit, University Hospital of Sant Joan de Reus, 43201 Reus, Spain.
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