1
|
Li D, Chua T, Chen M, Li X, Chia M. Effects of replacing sedentary time with alterations in physical activity or sleep on mood states in Chinese young adults during the pandemic. BMC Public Health 2024; 24:2184. [PMID: 39135153 PMCID: PMC11320779 DOI: 10.1186/s12889-024-19714-0] [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: 12/03/2023] [Accepted: 08/07/2024] [Indexed: 08/15/2024] Open
Abstract
BACKGROUND Poor mood states pose the most frequent mental health, creating a considerable burden to global public health. Sedentary behavior is an essential factor affecting mood states, however, previous measures to reduce sedentary time in Chinese young adults have focused only on increasing physical activity (PA). Sedentary, PA, and sleep make up a person's day from the standpoint of time use. It is not known whether reallocating sedentary time to different types of PA (e.g. daily PA and structured PA) or sleep during an epidemic has an effect on mood states. Therefore, this study aimed to examine the association between replacing sedentary time with different types of PA or sleep during the pandemic and the mood states of Chinese young adults and to further examine whether this association varies across sleep populations and units of replacement time. METHOD 3,579 young adults aged 18 to 25 years living in China and self-isolating at home during the COVID-19 outbreak were invited to complete an online questionnaire between February from 23 to 29, 2020. Subjects' PA, sedentary time, and mood states were assessed using the International Physical Activity Questionnaire and the Chinese version of the Profile of Mood States, respectively. Participants also reported sleep duration and some sociodemographic characteristics. Participants were divided into short sleepers (< 7 h/d), normal sleepers (7-9 h/d), and long sleepers (> 9 h/d) based upon their reported sleep duration. Relevant data were analyzed using Pearson correlation analysis and isotemporal substitution model (ISM). RESULTS Sedentary time was negatively associated with mood states in Chinese young adults during the pandemic (r = 0.140) and correlated strongest among short sleepers (r = 0.203). Substitution of sedentary time with structured PA was associated with good mood states (β=-0.28, 95% CI: -0.49, -0.08). Additionally, substituting sedentary time with daily PA (e.g. occupational PA, household PA) was also associated with good mood states among normal sleepers (β=-0.24, 95% CI: -0.46, -0.02). The substitution of sedentary time with sleep could bring mood benefits (β=-0.35, 95% CI: -0.47, -0.23). This benefit was particularly prominent among short sleepers. Furthermore, for long sleepers, replacing sedentary time with sleep time also resulted in significant mood benefits (β=-0.41, 95% CI: -0.69, -0.12). The longer the duration of replacing sedentary behavior with different types of PA or sleep, the greater the mood benefits. CONCLUSIONS A reallocation of as little as 10 min/day of sedentary time to different types of PA or sleep is beneficial for the mood states of young adults. The longer the reallocation, the greater the benefit. Our results demonstrate a feasible and practical behavior alternative for improving mood states of Chinese young adults.
Collapse
Affiliation(s)
- Dan Li
- School of Physical Education, Hunan Normal University, 529 Lushan South Road, Changsha, 410012, China
| | - Terence Chua
- National Institute of Education, Nanyang Technological University, Singapore, 637616, Singapore
| | - Meiyuan Chen
- College of Physical Education & Health, East China Normal University, 500 Dongchuan Road, Shanghai, 200241, China
| | - Xianxiong Li
- School of Physical Education, Hunan Normal University, 529 Lushan South Road, Changsha, 410012, China.
| | - Michael Chia
- National Institute of Education, Nanyang Technological University, Singapore, 637616, Singapore.
| |
Collapse
|
2
|
Rong F, Li X, Jia L, Liu J, Li S, Zhang Z, Wang R, Wang D, Wan Y. Substitutions of physical activity and sedentary behavior with negative emotions and sex difference among college students. PSYCHOLOGY OF SPORT AND EXERCISE 2024; 72:102605. [PMID: 38346583 DOI: 10.1016/j.psychsport.2024.102605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 02/02/2024] [Accepted: 02/06/2024] [Indexed: 02/25/2024]
Abstract
BACKGROUND A growing number of studies have found that physical activity (PA) benefits mental health, and sedentary behavior (SB) increases the risk of psychological symptoms, but it remains unclear whether substituting the duration of different activities may affect the association, and whether sex difference exists among college students. METHODS A longitudinal survey was conducted in three colleges in Anhui province, China. A total of 8049 participants validly answered the questionnaire, which included demographic variables, PA, SB and negative emotions (depressive, anxiety, and stress symptoms). RESULTS Substituting 30 min per day of SB with equivalent walking was associated with lower scores of depressive symptoms. Stress symptoms were reduced when SB was substituted by moderate intensity PA (MPA) and walking. Substituting 30 min per day of MPA in place of walking and SB was associated with an amelioration of depressive and stress symptoms in females, and a reallocation of 30 min walking was associated with lower depressive and stress symptom scores when SB was replaced in males. CONCLUSIONS Replacing SB with walking and MPA ameliorates the depressive and stress symptoms in young adults. The results suggest a reallocation of time from SB or walking to MPA in females while from SB to walking in males may markedly reduce the depressive and stress symptoms in college population.
Collapse
Affiliation(s)
- Fan Rong
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenices, Anhui, China
| | - Xin Li
- School of Clinical Medical, Anqing Medical College, Anhui, China
| | - Liyuan Jia
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenices, Anhui, China
| | - Jing Liu
- School of Clinical Medical, Huainan Union University, Huainan, China
| | - Shuqin Li
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenices, Anhui, China
| | - Zhixian Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenices, Anhui, China
| | - Rui Wang
- Teaching Affairs Office, Anqing Medical College, Anhui, China
| | - Danni Wang
- Department of Health Promotion and Behavioral Sciences, School of Public Health, Anhui Medical University, Anhui, China.
| | - Yuhui Wan
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenices, Anhui, China.
| |
Collapse
|
3
|
Ikram MA, Kieboom BCT, Brouwer WP, Brusselle G, Chaker L, Ghanbari M, Goedegebure A, Ikram MK, Kavousi M, de Knegt RJ, Luik AI, van Meurs J, Pardo LM, Rivadeneira F, van Rooij FJA, Vernooij MW, Voortman T, Terzikhan N. The Rotterdam Study. Design update and major findings between 2020 and 2024. Eur J Epidemiol 2024; 39:183-206. [PMID: 38324224 DOI: 10.1007/s10654-023-01094-1] [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: 07/21/2023] [Accepted: 12/14/2023] [Indexed: 02/08/2024]
Abstract
The Rotterdam Study is a population-based cohort study, started in 1990 in the district of Ommoord in the city of Rotterdam, the Netherlands, with the aim to describe the prevalence and incidence, unravel the etiology, and identify targets for prediction, prevention or intervention of multifactorial diseases in mid-life and elderly. The study currently includes 17,931 participants (overall response rate 65%), aged 40 years and over, who are examined in-person every 3 to 5 years in a dedicated research facility, and who are followed-up continuously through automated linkage with health care providers, both regionally and nationally. Research within the Rotterdam Study is carried out along two axes. First, research lines are oriented around diseases and clinical conditions, which are reflective of medical specializations. Second, cross-cutting research lines transverse these clinical demarcations allowing for inter- and multidisciplinary research. These research lines generally reflect subdomains within epidemiology. This paper describes recent methodological updates and main findings from each of these research lines. Also, future perspective for coming years highlighted.
Collapse
Affiliation(s)
- M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands.
| | - Brenda C T Kieboom
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Willem Pieter Brouwer
- Department of Hepatology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Guy Brusselle
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
- Department of Pulmonology, University Hospital Ghent, Ghent, Belgium
| | - Layal Chaker
- Department of Epidemiology, and Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - André Goedegebure
- Department of Otorhinolaryngology and Head & Neck Surgery, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - M Kamran Ikram
- Department of Epidemiology, and Department of Neurology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Rob J de Knegt
- Department of Hepatology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Joyce van Meurs
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Luba M Pardo
- Department of Dermatology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Fernando Rivadeneira
- Department of Medicine, and Department of Oral & Maxillofacial Surgery, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Frank J A van Rooij
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, and Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Natalie Terzikhan
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| |
Collapse
|
4
|
Liu BP, Huxley RR, Schikowski T, Hu KJ, Zhao Q, Jia CX. Exposure to residential green and blue space and the natural environment is associated with a lower incidence of psychiatric disorders in middle-aged and older adults: findings from the UK Biobank. BMC Med 2024; 22:15. [PMID: 38221612 PMCID: PMC10789017 DOI: 10.1186/s12916-023-03239-1] [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: 07/01/2023] [Accepted: 12/19/2023] [Indexed: 01/16/2024] Open
Abstract
BACKGROUND There is increasing evidence for the role of environmental factors and exposure to the natural environment on a wide range of health outcomes. Whether exposure to green space, blue space, and the natural environment (GBN) is associated with risk of psychiatric disorders in middle-aged and older adults has not been prospectively examined. METHODS Longitudinal data from the UK biobank was used. At the study baseline (2006-2010), 363,047 participants (women: 53.4%; mean age 56.7 ± 8.1 years) who had not been previously diagnosed with any psychiatric disorder were included. Follow-up was achieved by collecting records from hospitals and death registers. Measurements of green and blue space modeled from land use data and natural environment from Land Cover Map were assigned to the residential address for each participant. Cox proportional hazard models with adjustment for potential confounders were used to explore the longitudinal associations between GBN and any psychiatric disorder and then by specific psychiatric disorders (dementia, substance abuse, psychotic disorder, depression, and anxiety) in middle-aged and older adults. RESULTS During an average follow-up of 11.5 ± 2.8 years, 49,865 individuals were diagnosed with psychiatric disorders. Compared with the first tertile (lowest) of exposure, blue space at 300 m buffer [hazard ratio (HR): 0.973, 95% confidence interval (CI): 0.952-0.994] and natural environment at 300 m buffer (HR: 0.970, 95% CI: 0.948-0.992) and at 1000 m buffer (HR: 0.975, 95% CI: 0.952-0.999) in the third tertile (highest) were significantly associated with lower risk of incident psychiatric disorders, respectively. The risk of incident dementia was statistically decreased when exposed to the third tertile (highest) of green space and natural environment at 1000 m buffer. The third tertile (highest) of green space at 300 m and 1000 m buffer and natural environment at 300 m and 1000 m buffer was associated with a reduction of 30.0%, 31.8%, 21.7%, and 30.3% in the risk of developing a psychotic disorder, respectively. Subgroup analysis suggested that the elderly, men, and those living with some comorbid conditions may derive greater benefits associated with exposure to GBN. CONCLUSIONS This study suggests that GBN has significant benefits for lowering the risk of psychiatric disorders in middle-aged and older adults. Future studies are warranted to validate these findings and to understand the potential mechanistic pathways underpinning these novel findings.
Collapse
Affiliation(s)
- Bao-Peng Liu
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Rachel R Huxley
- Faculty of Health, Deakin University, Melbourne, VIC, 3000, Australia
| | - Tamara Schikowski
- Department of Epidemiology, IUF-Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Ke-Jia Hu
- Department of Big Data in Health Science, School of Public Health, Zhejiang University, Zijingang Campus, Hangzhou, 310058, China
| | - Qi Zhao
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
- Faculty of Health, Deakin University, Melbourne, VIC, 3000, Australia.
- Shandong University Climate Change and Health Center, Shandong University, Jinan, 250012, Shandong, China.
| | - Cun-Xian Jia
- Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
| |
Collapse
|
5
|
Jiang W, Sun L, He Y, Liu W, Hua Y, Zheng X, Huang C, Liu Q, Xiong L, Guo L. Association between physical activity and depressive symptoms in adolescents: A prospective cohort study. Psychiatry Res 2023; 329:115544. [PMID: 37852160 DOI: 10.1016/j.psychres.2023.115544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 10/11/2023] [Accepted: 10/13/2023] [Indexed: 10/20/2023]
Abstract
It remains uncertain whether a protective association between physical activity and depression exists among adolescents and what the optimal level of physical activity might be. This study aimed to estimate the associations of physical activity levels with depressive symptoms and new-onset depression, while identifying potential modifying factors influencing the relationships. In this cohort study, we initially enrolled 1957 participants at baseline and followed up with 1738 of them after two years. Our analysis focused on data from 1482 students who provided complete information on both physical activity and depressive symptoms. Generalized linear regression and restricted cubic spline regression models were performed. Our adjusted models revealed that engaging in 4-7 h/week of moderate-to-vigorous physical activity (MVPA) at baseline was negatively associated with subsequent depressive symptoms and new-onset depression compared to the non-MVPA group. However, exceeding 7 h/week of MVPA did not provide substantial benefits. Furthermore, drinking and screen time potentially modified the relationship between MVPA and new-onset depression. Our findings suggest that 4-7 h of MVPA per week may be an appropriate level to reduce depressive symptoms in adolescents. Moreover, individual behaviors (e.g., drinking and screen time) warrant heightened attention in interventions targeting the reduction of depression in this population.
Collapse
Affiliation(s)
- Weiqing Jiang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Lili Sun
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510080, China
| | - Yitong He
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Weijia Liu
- Faculty of School Health, Guangzhou Centre for Disease Control and Prevention, Guangzhou 510080, China
| | - Yilin Hua
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xinyu Zheng
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Cuihong Huang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Qianyu Liu
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Lihua Xiong
- Guangzhou Center for Disease Control and Prevention, Guangzhou 510080, China.
| | - Lan Guo
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
| |
Collapse
|
6
|
Miatke A, Olds T, Maher C, Fraysse F, Mellow ML, Smith AE, Pedisic Z, Grgic J, Dumuid D. The association between reallocations of time and health using compositional data analysis: a systematic scoping review with an interactive data exploration interface. Int J Behav Nutr Phys Act 2023; 20:127. [PMID: 37858243 PMCID: PMC10588100 DOI: 10.1186/s12966-023-01526-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 10/02/2023] [Indexed: 10/21/2023] Open
Abstract
BACKGROUND How time is allocated influences health. However, any increase in time allocated to one behaviour must be offset by a decrease in others. Recently, studies have used compositional data analysis (CoDA) to estimate the associations with health when reallocating time between different behaviours. The aim of this scoping review was to provide an overview of studies that have used CoDA to model how reallocating time between different time-use components is associated with health. METHODS A systematic search of four electronic databases (MEDLINE, Embase, Scopus, SPORTDiscus) was conducted in October 2022. Studies were eligible if they used CoDA to examine the associations of time reallocations and health. Reallocations were considered between movement behaviours (sedentary behaviour (SB), light physical activity (LPA), moderate-to-vigorous physical activity (MVPA)) or various activities of daily living (screen time, work, household chores etc.). The review considered all populations, including clinical populations, as well as all health-related outcomes. RESULTS One hundred and three studies were included. Adiposity was the most commonly studied health outcome (n = 41). Most studies (n = 75) reported reallocations amongst daily sleep, SB, LPA and MVPA. While other studies reported reallocations amongst sub-compositions of these (work MVPA vs. leisure MVPA), activity types determined by recall (screen time, household chores, passive transport etc.) or bouted behaviours (short vs. long bouts of SB). In general, when considering cross-sectional results, reallocating time to MVPA from any behaviour(s) was favourably associated with health and reallocating time away from MVPA to any behaviour(s) was unfavourably associated with health. Some beneficial associations were seen when reallocating time from SB to both LPA and sleep; however, the strength of the association was much lower than for any reallocations involving MVPA. However, there were many null findings. Notably, most of the longitudinal studies found no associations between reallocations of time and health. Some evidence also suggested the context of behaviours was important, with reallocations of leisure time toward MVPA having a stronger favourable association for health than reallocating work time towards MVPA. CONCLUSIONS Evidence suggests that reallocating time towards MVPA from any behaviour(s) has the strongest favourable association with health, and reallocating time away from MVPA toward any behaviour(s) has the strongest unfavourable association with health. Future studies should use longitudinal and experimental study designs, and for a wider range of outcomes.
Collapse
Affiliation(s)
- Aaron Miatke
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, GPO box, Adelaide, S.A, 2471, 5001, Australia.
- Centre for Adolescent Health, Murdoch Children's Research Institute, Melbourne, Australia.
| | - Tim Olds
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, GPO box, Adelaide, S.A, 2471, 5001, Australia
- Centre for Adolescent Health, Murdoch Children's Research Institute, Melbourne, Australia
| | - Carol Maher
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, GPO box, Adelaide, S.A, 2471, 5001, Australia
| | - Francois Fraysse
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, GPO box, Adelaide, S.A, 2471, 5001, Australia
| | - Maddison L Mellow
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, GPO box, Adelaide, S.A, 2471, 5001, Australia
| | - Ashleigh E Smith
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, GPO box, Adelaide, S.A, 2471, 5001, Australia
| | - Zeljko Pedisic
- Institute for Health and Sport, Victoria University, Melbourne, Australia
| | - Jozo Grgic
- Institute for Health and Sport, Victoria University, Melbourne, Australia
| | - Dorothea Dumuid
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, GPO box, Adelaide, S.A, 2471, 5001, Australia
- Centre for Adolescent Health, Murdoch Children's Research Institute, Melbourne, Australia
| |
Collapse
|
7
|
Monteagudo P, Beltran-Valls MR, Adelantado-Renau M, Moliner-Urdiales D. Observational longitudinal association between waking movement behaviours and psychological distress among adolescents using isotemporal analysis: DADOS study. J Sports Sci 2023; 41:1290-1298. [PMID: 37851923 DOI: 10.1080/02640414.2023.2268359] [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: 02/05/2023] [Accepted: 10/01/2023] [Indexed: 10/20/2023]
Abstract
This study aimed to examine the impact of reallocating time spent in waking movement behaviours at baseline on indicators of psychological distress at 24-month follow-up using isotemporal substitution regression models among a sample of Spanish adolescents. The DADOS (Deporte, ADOlescencia y Salud) study is a 3-year longitudinal observational research project carried out between years 2015-2017. The analyses included 197 adolescents (91 girls) aged 13.9 ± 0.3 years at baseline. Waking movement behaviours were assessed by a wrist-worn GENEActiv triaxial accelerometer and expressed as minutes/day of light physical activity (LPA), moderate-vigorous physical activity (MVPA) and time spent in sedentary behaviour (SB). The Behaviour Assessment System for Children and Adolescents (level 3 for adolescents) was used to assess psychological distress indicators (i.e., anxiety, social stress, and risk of depression). Results showed significant associations only for girls. The substitution of 10 min/day of SB or LPA at baseline with 10 min/day of MVPA was associated with lower levels of anxiety (both p ≤ 0.01) and social stress (both p < 0.05) at follow-up. The substitution of 10 min/day of SB with 10 min/day of LPA was associated with higher levels of anxiety at follow-up (p = 0.01). These findings highlight the need of specific physical activity recommendations for mental health paying special attention to sex-differences.
Collapse
Affiliation(s)
- Pablo Monteagudo
- LIFE Research Group, Faculty of Humanities and Social Sciences, Department of Education and Specific Didactics, Universitat Jaume I, Castellon, Spain
| | - Maria Reyes Beltran-Valls
- LIFE Research Group, Faculty of Humanities and Social Sciences, Department of Education and Specific Didactics, Universitat Jaume I, Castellon, Spain
| | - Mireia Adelantado-Renau
- LIFE Research Group, Faculty of Humanities and Social Sciences, Department of Education and Specific Didactics, Universitat Jaume I, Castellon, Spain
| | - Diego Moliner-Urdiales
- LIFE Research Group, Faculty of Humanities and Social Sciences, Department of Education and Specific Didactics, Universitat Jaume I, Castellon, Spain
| |
Collapse
|
8
|
Liu J, Cao S, Huo Y, Liu H, Wang Y, Zhang B, Xu K, Yang P, Zeng L, Dang S, Yan H, Mi B. Association of sleep behavior with depression: a cross-sectional study in northwestern China. Front Psychiatry 2023; 14:1171310. [PMID: 37426097 PMCID: PMC10327479 DOI: 10.3389/fpsyt.2023.1171310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 06/05/2023] [Indexed: 07/11/2023] Open
Abstract
Background This study aimed to examine the association between sleep duration, sleep problems, and depression in Northwest China. Method Depression was diagnosed at the hospital and self-reported by the participants in the baseline survey. Sleep duration and problems, including difficulty initiating and maintaining sleep, early morning awakening, daytime dysfunction, use of sleeping pills or drugs, and any sleep problems, were obtained by a self-reported questionnaire. Logistic regression was used to estimate odds ratios (ORs) with corresponding 95% confidence intervals (CIs) for exploring the association between sleep duration, sleep problems, and depression, adjusting for demographic and socioeconomic characteristics and health behaviors. The association between depression and sleep duration was also evaluated continuously with restricted cubic spline curves based on logistic models. Results 36,515 adults from Regional Ethnic Cohort Study in Northwest China were included. About 24.04% of participants reported short sleep duration (<7 h), and 15.64% reported long sleep duration (≥9 h). Compared with standard sleep duration (7-9 h), short sleep duration was associated with a higher risk of depression (OR: 1.69, 95%CI: 1.26-2.27, p = 0.001). Self-reported sleep problems were also related to four times depression risk increased (OR: 4.02, 95%CI: 3.03-5.35, p < 0.001) compared with no sleep problems. In addition, a nonlinear relationship was found between sleep duration and depression after adjusting covariates (p = 0.043). Conclusion Sleep duration and sleep problems are associated with depression. Enough sleep time and healthy sleep habits in life course might be a practical health promotion approach to reduce depression risk in Northwest Chinese adults. A further study from cohort study is needed to verify the temporal association.
Collapse
Affiliation(s)
- Jingchun Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Suixia Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Yating Huo
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Huimeng Liu
- Department of Occupational and Environmental Health, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Yutong Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Binyan Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Kun Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Peiying Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Lingxia Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Shaonong Dang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Hong Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| | - Baibing Mi
- Department of Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Global Health Institute, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
- Shaanxi Open Sharing Platform of Critical Disease Prevention and Big Health Data Science, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, Shaanxi, China
| |
Collapse
|
9
|
Luo L, Cao Y, Hu Y, Wen S, Tang K, Ding L, Song N. The Associations between Meeting 24-Hour Movement Guidelines (24-HMG) and Self-Rated Physical and Mental Health in Older Adults-Cross Sectional Evidence from China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:13407. [PMID: 36293984 PMCID: PMC9603641 DOI: 10.3390/ijerph192013407] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 10/11/2022] [Accepted: 10/12/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND This study determined the prevalence of older adults (aged 60-80 years) meeting the Canadian 24-HMG alone and in combination, and their association with the self-rated physical health and mental health of older adults. METHODS Participants were drawn from 4134 older adults aged 60-80 years (age, 67.37 ± 0.08 years; 46.87% male) from the China Health and Nutrition Survey (CHNS) 2015 database. Mental health and physical health scores were obtained based on self-rated mental health questionnaires and physical health of older adults. The criteria for meeting the 24-HMG were: physical activity time ≥ 150 min/week, sedentary time ≤ 480 min/day, screen time ≤ 180 min/day, sleep time 7-9 h (60-64 years) and sleep time 7-8 h (65 years and above). Logistic regression models were used to examine the association between meeting the 24-HMG guidelines number and category and older adults' self-rated mental and physical health. RESULTS The proportion of older people meeting three of the 24-HMG guidelines was 1.16%, the proportion meeting two guidelines was 38.19% and the proportion meeting one guideline was 49.14%. The number of people meeting 24-HMG was closely related to the self-rated physical health and mental health of older people. The category meeting 24-HMG was closely related to the self-rated physical health and mental health of older people. CONCLUSIONS Meeting more guidelines in the 24-HMG was strongly associated with older people's self-rated mental health and physical health. However, only a small proportion of older people met all the recommendations, highlighting the need to promote and support adherence to these movement behaviours.
Collapse
Affiliation(s)
- Lin Luo
- College of Physical Education, Guizhou Normal University, Guiyang 550001, China
- Basic Education Research Center, Southwest University, Chongqing 400715, China
| | - Yunxia Cao
- College of Physical Education, Guizhou Normal University, Guiyang 550001, China
| | - Yulong Hu
- College of Physical Education, Guizhou Normal University, Guiyang 550001, China
| | - Shaojing Wen
- College of Physical Education, Guizhou Normal University, Guiyang 550001, China
| | - Kaiqi Tang
- College of Physical Education, Guizhou Normal University, Guiyang 550001, China
| | - Lina Ding
- College of Physical Education, Guizhou Normal University, Guiyang 550001, China
| | - Naiqing Song
- Basic Education Research Center, Southwest University, Chongqing 400715, China
| |
Collapse
|