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Shao Z, Wei Z, Wang M, Chen Y, Qi Y, Zhou Z, Zhong Y, Qin A, Xu Y, Wang K, Wang W, Sun L. Longitudinal associations between Big Five personality and insomnia: evidence based on a 4-year perspective cohort study among community residents. Front Psychol 2025; 16:1569036. [PMID: 40417016 PMCID: PMC12098598 DOI: 10.3389/fpsyg.2025.1569036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2025] [Accepted: 04/18/2025] [Indexed: 05/27/2025] Open
Abstract
Introduction While the association between personality traits and insomnia has been confirmed, the longitudinal relationship between them remains unclear. Methods This is a 4-year longitudinal cohort study conducted among rural community residents (N = 482) in Shandong Province, China. Results This study found that neuroticism (β = 0.175, p < 0.001), extraversion (β = -0.146, p < 0.001), and conscientiousness (β = -0.168, p < 0.001) at baseline had statistically significant longitudinal associations with insomnia at follow-up. In addition, insomnia at baseline had statistically significant longitudinal correlations with neuroticism (β = 0.142, p < 0.01), extraversion (β = -0.209, p < 0.001), and agreeableness (β = -0.122, p < 0.01) at follow-up. Discussion This study showed that both neuroticism and extraversion had a bidirectional relationship with insomnia. Insomnia had a one - way longitudinal correlation with agreeableness, and conscientiousness had a one - way longitudinal correlation with insomnia. The longitudinal correlation between openness and insomnia was not supported in this study.
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Affiliation(s)
- Ziming Shao
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- National Health Commission of China (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, China
| | - Zhen Wei
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- National Health Commission of China (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, China
| | - Meiqi Wang
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- National Health Commission of China (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, China
| | - Yifan Chen
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- National Health Commission of China (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, China
| | - Yazhuo Qi
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- National Health Commission of China (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, China
| | - Zihan Zhou
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- National Health Commission of China (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, China
| | - Yunxi Zhong
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- National Health Commission of China (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, China
| | - Afei Qin
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- National Health Commission of China (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, China
| | - Yingyue Xu
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- National Health Commission of China (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, China
| | - Kaixian Wang
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- National Health Commission of China (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, China
| | - Wenyu Wang
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- National Health Commission of China (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, China
| | - Long Sun
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- National Health Commission of China (NHC) Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan, China
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Altunalan T, Arslan E, Ocakoglu AO. The relationship between physical activity level and timing and sleep quality and hygiene in healthy individuals: a cross-sectional study. BMC Public Health 2024; 24:3261. [PMID: 39581962 PMCID: PMC11587700 DOI: 10.1186/s12889-024-20708-1] [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: 05/29/2024] [Accepted: 11/12/2024] [Indexed: 11/26/2024] Open
Abstract
The current study focused on investigating the relationship between level and timing of physical activity and sleep quality and hygiene in healthy individuals. This cross-sectional study design recruited 175 participants (male: 98, 56%, female: 77, 44%, and BMI: 23.87 ± 3.92) aged between 18 and 65, 157 of whom were physically active and 18 of whom were physically inactive. The study recruited healthy participants from various sports facilities, fitness centers, and walking parks to ensure a diverse sample of physically active individuals in a metropolitan city. The study excluded people with sleep disorders, rheumatoid arthritis, heart or neurological problems, and those who had shift work. The study employed the Demographic Information Form, International Physical Activity Questionnaire (Short Form), Pittsburgh Sleep Quality Scale, and Sleep Hygiene Questionnaire. A one-way MANOVA was employed to compare sleep quality and hygiene in different physical activity levels. A second MANOVA compared sleep quality and hygiene in different physical activity timing, including only the minimally active and very active participants. One-way MANOVA showed a significant difference F (4, 171) = 7.532, Pillai's trace = 0.161, partial eta squared = 0.081 between sleep quality and hygiene scores among inactive, minimally active, and very active participants. A post hoc analysis showed sleep quality was significantly better in minimal active (6.42 ± 2.55, p = 0.002, Cohen's d = 0.867) and very active participants (5.99 ± 2.29, p < 0.001, Cohen's d = 1.092) than inactive (8.61 ± 2.50) participants. Also, sleep hygiene was significantly better in minimal active (28.50 ± 6.74, p = 0.001, Cohen's d = 0.867) and very active participants (29.52 ± 6.56, p < 0.001, Cohen's d = 0.992) than inactive (36.05 ± 8.39) participants. The one-way MANOVA revealed no statistically significant differences in sleep quality and hygiene scores based on physical activity time. Our study showed that physically active individuals had significantly better sleep quality and hygiene scores, while there was no difference based on the timing of physical activity. Healthy individuals may be encouraged to participate in physical activity in the morning, afternoon, or evening to improve sleep parameters.
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Affiliation(s)
- Turgay Altunalan
- Turgay Altunalan,Department of Physical Therapy and Rehabilitation, Karadeniz Technical University, Farabi Street, Trabzon, 61080, Turkey.
| | - Eda Arslan
- Department of Physical Therapy and Rehabilitation, Uskudar University, İstanbul, Turkey
| | - Ahsen Oztel Ocakoglu
- Department of Physical Therapy and Rehabilitation, Uskudar University, İstanbul, Turkey
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Jackson R, Gu C, Haszard J, Meredith-Jones K, Galland B, Camp J, Brown D, Taylor R. The Effect of Prebedtime Behaviors on Sleep Duration and Quality in Children: Protocol for a Randomized Crossover Trial. JMIR Res Protoc 2024; 13:e63692. [PMID: 39163119 PMCID: PMC11372319 DOI: 10.2196/63692] [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: 06/26/2024] [Revised: 07/10/2024] [Accepted: 07/11/2024] [Indexed: 08/21/2024] Open
Abstract
BACKGROUND It is recommended that children should avoid eating dinner, being physically active, or using screens in the hour before bed to ensure good sleep health. However, the evidence base behind these guidelines is weak and limited to cross-sectional studies using questionnaires. OBJECTIVE The aim of this randomized crossover trial was to use objective measures to experimentally determine whether recommendations to improve sleep by banning electronic media, physical activity, or food intake in the hour before bed, impact sleep quantity and quality in the youth. METHODS After a baseline week to assess usual behavior, 72 children (10-14.9 years old) will be randomized to four conditions, which are (1) avoid all 3 behaviors, (2) use screens for at least 30 minutes, (3) be physically active for at least 30 minutes, and (4) eat a large meal, during the hour before bed on days 5 to 7 of weeks 2 to 5. Families can choose which days of the week they undertake the intervention, but they must be the same days for each intervention week. Guidance on how to undertake each intervention will be provided. Interventions will only be undertaken during the school term to avoid known changes in sleep during school holidays. Intervention adherence and shuteye latency (time from getting into bed until attempting sleep) will be measured by wearable and stationary PatrolEyes video cameras (StuntCams). Sleep (total sleep time, sleep onset, and wake after sleep onset) will be measured using actigraphy (baseline, days 5 to 7 of each intervention week). Mixed effects regression models with a random effect for participants will be used to estimate mean differences (95% CI) for conditions 2 to 4 compared with condition 1. RESULTS Recruitment started in March 2024, and is anticipated to finish in April 2025. Following data analysis, we expect that results will be available later in 2026. CONCLUSIONS Using objective measures, we will be able to establish if causal relationships exist between prebedtime behaviors and sleep in children. Such information is critical to ensure appropriate and achievable sleep guidelines. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ACTRN12624000206527; https://tinyurl.com/3kcjmfnj. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/63692.
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Affiliation(s)
- Rosie Jackson
- Department of Medicine, University of Otago, Dunedin, New Zealand
| | - Chao Gu
- Department of Medicine, University of Otago, Dunedin, New Zealand
| | | | | | - Barbara Galland
- Department of Women's and Children's Health, University of Otago, Dunedin, New Zealand
| | - Justine Camp
- Department of Medicine, University of Otago, Dunedin, New Zealand
| | - Deirdre Brown
- Department of Psychological Medicine, University of Otago, Dunedin, New Zealand
| | - Rachael Taylor
- Department of Medicine, University of Otago, Dunedin, New Zealand
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Wang Z, Zeng Z. Association between personality characteristics and sleep quality among Chinese middle-aged and older adults: evidence from China family panel studies. BMC Public Health 2023; 23:2427. [PMID: 38053067 PMCID: PMC10699122 DOI: 10.1186/s12889-023-17352-6] [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: 08/04/2023] [Accepted: 11/27/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Poor sleep quality will have adverse effects on physical and mental health, quality of life and other aspects of middle-aged and older adults. Sleep quality is affected by many factors. Whether the sleep quality measures of the participants had changed in the previous or subsequent time period is not easily taken into account. Moreover, there have been no studies on this topic in Chinese middle-aged and older adults. The objective of this study was to mitigate the bias of sleep quality assessment, and analyze the association between personality traits and sleep quality in Chinese middle-aged and older adults. METHODS The data came from the China Family Panel Studies (CFPS). A total of 6031 participants aged ≥ 45 years were included in this study. Personality characteristics were evaluated based on the scores of each dimension of Big Five personality traits. Sleep duration and sleep perception were used as indicators to measure sleep quality. Logistic models were used to analyze the relationship between personality traits and sleep duration or sleep perception, respectively. RESULTS 4.5% of the participants had abnormal sleep duration, and 14.4% had a pessimistic sleep perception. Conscientiousness was rated the highest among the personality traits (3.97 ± 0.6). Participants with higher scores for extraversion personality traits had more normal sleep duration (OR = 0.77, 95% CI: 0.64-0.93) and more optimistic sleep perception (OR = 0.86, 95% CI: 0.76-0.96). Using the Internet and feeling unwell in the past week have a moderating effect on the impact of conscientiousness personality characteristics on sleep duration or sleep perception, respectively (but not overall sleep quality). In addition, participants with a spouse or no recent physical discomfort tended to have a normal sleep duration and a more optimistic sleep perception. CONCLUSIONS The higher the score of extraversion personality traits, the better the overall sleep quality of middle-aged and older adults. Having a spouse and feeling unwell were the important factors affecting their sleep quality. Specific personality traits intervention should be carried out for middle-aged and older adults with poor sleep quality to make their personality traits are closer to extraversion. In addition, middle-aged and older adults without spouses should be encouraged to marry or remarry. We will strengthen health management and medical expenditures for middle-aged and older adults.
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Affiliation(s)
- Zhen Wang
- School of Public Health, Hubei University of Medicine, Hubei, China
| | - Zhi Zeng
- School of Public Health, Hubei University of Medicine, Hubei, China.
- Center of Health Administration and Development Studies, Hubei University of Medicine, Hubei, China.
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