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<div><p>The psychological and physiological health of undergraduates was correlated with the sleep quality, which can be improved through increasing physical activity. However, the correlations between physical activity and sleep quality are subject to various factors. In this study, we...
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2024
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| _version_ | 1852024251787247616 |
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| author | Zhonggen Yin (20454841) |
| author2 | Chengbo Yang (2935950) Tong Liu (107783) Jialiang Yu (14362755) Xiaomei Yu (603755) Shuting Huang (2938800) Yanhong Zhang (15518) |
| author2_role | author author author author author author |
| author_facet | Zhonggen Yin (20454841) Chengbo Yang (2935950) Tong Liu (107783) Jialiang Yu (14362755) Xiaomei Yu (603755) Shuting Huang (2938800) Yanhong Zhang (15518) |
| author_role | author |
| dc.creator.none.fl_str_mv | Zhonggen Yin (20454841) Chengbo Yang (2935950) Tong Liu (107783) Jialiang Yu (14362755) Xiaomei Yu (603755) Shuting Huang (2938800) Yanhong Zhang (15518) |
| dc.date.none.fl_str_mv | 2024-12-19T18:33:29Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pone.0315930.s001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/S1_Data_-/28064572 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Neuroscience Physiology Biotechnology Science Policy Mental Health Chemical Sciences not elsewhere classified mobile phone addiction including descriptive statistics regression analysis shows promote physical activity increasing physical activity study utilized scales chain mediation model undergraduates &# 8217 control &# 8594 physical activity &# 8211 correlation analysis xlink "> various factors sleep quality quantitatively evaluate physiological health hypothesis tests convenient sample confidence tests college students behavioral levels 274 students 001 ). 001 ), |
| dc.title.none.fl_str_mv | S1 Data - |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <div><p>The psychological and physiological health of undergraduates was correlated with the sleep quality, which can be improved through increasing physical activity. However, the correlations between physical activity and sleep quality are subject to various factors. In this study, we investigated the effects of self-control and mobile phone addiction on the correlations between physical activity on undergraduates’ sleep quality at the psychological and behavioral levels. Data was collected through a survey with a convenient sample of 2,274 students in China. The study utilized scales of physical activity, sleep quality, self-control, and mobile phone addiction to quantitatively evaluate the impact of physical activity on the sleep quality of undergraduates. The correlations were analyzed using SPSS 26.0, including descriptive statistics, confidence tests, common method bias tests, correlation analysis, and hypothesis tests. Pearson correlation analysis shows that physical activity was significantly correlated with sleep quality (r = -0.541, p < 0.001), and that physical activity and sleep quality were significantly correlated with self-control and mobile phone addiction. Regression analysis shows that physical activity had a significant positive regression effect on self-control (standardized regression coefficient β = 0.234, p < 0.001), a significant negative regression effect on mobile phone addiction (β = –0.286, p < 0.001), and a significant negative regression effect on sleep quality (β = –0.351, p < 0.001). Further, a chain mediation model of physical activity → self-control → mobile phone addiction → sleep quality was proposed. The findings provide basic data for college students to promote physical activity and improve sleep quality.</p></div> |
| eu_rights_str_mv | openAccess |
| id | Manara_ee7a64bf07f20be657cf5f7da47b3ca8 |
| identifier_str_mv | 10.1371/journal.pone.0315930.s001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/28064572 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | S1 Data - Zhonggen Yin (20454841)Chengbo Yang (2935950)Tong Liu (107783)Jialiang Yu (14362755)Xiaomei Yu (603755)Shuting Huang (2938800)Yanhong Zhang (15518)NeurosciencePhysiologyBiotechnologyScience PolicyMental HealthChemical Sciences not elsewhere classifiedmobile phone addictionincluding descriptive statisticsregression analysis showspromote physical activityincreasing physical activitystudy utilized scaleschain mediation modelundergraduates &# 8217control &# 8594physical activity&# 8211correlation analysisxlink ">various factorssleep qualityquantitatively evaluatephysiological healthhypothesis testsconvenient sampleconfidence testscollege studentsbehavioral levels274 students001 ).001 ),<div><p>The psychological and physiological health of undergraduates was correlated with the sleep quality, which can be improved through increasing physical activity. However, the correlations between physical activity and sleep quality are subject to various factors. In this study, we investigated the effects of self-control and mobile phone addiction on the correlations between physical activity on undergraduates’ sleep quality at the psychological and behavioral levels. Data was collected through a survey with a convenient sample of 2,274 students in China. The study utilized scales of physical activity, sleep quality, self-control, and mobile phone addiction to quantitatively evaluate the impact of physical activity on the sleep quality of undergraduates. The correlations were analyzed using SPSS 26.0, including descriptive statistics, confidence tests, common method bias tests, correlation analysis, and hypothesis tests. Pearson correlation analysis shows that physical activity was significantly correlated with sleep quality (r = -0.541, p < 0.001), and that physical activity and sleep quality were significantly correlated with self-control and mobile phone addiction. Regression analysis shows that physical activity had a significant positive regression effect on self-control (standardized regression coefficient β = 0.234, p < 0.001), a significant negative regression effect on mobile phone addiction (β = –0.286, p < 0.001), and a significant negative regression effect on sleep quality (β = –0.351, p < 0.001). Further, a chain mediation model of physical activity → self-control → mobile phone addiction → sleep quality was proposed. The findings provide basic data for college students to promote physical activity and improve sleep quality.</p></div>2024-12-19T18:33:29ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.1371/journal.pone.0315930.s001https://figshare.com/articles/dataset/S1_Data_-/28064572CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/280645722024-12-19T18:33:29Z |
| spellingShingle | S1 Data - Zhonggen Yin (20454841) Neuroscience Physiology Biotechnology Science Policy Mental Health Chemical Sciences not elsewhere classified mobile phone addiction including descriptive statistics regression analysis shows promote physical activity increasing physical activity study utilized scales chain mediation model undergraduates &# 8217 control &# 8594 physical activity &# 8211 correlation analysis xlink "> various factors sleep quality quantitatively evaluate physiological health hypothesis tests convenient sample confidence tests college students behavioral levels 274 students 001 ). 001 ), |
| status_str | publishedVersion |
| title | S1 Data - |
| title_full | S1 Data - |
| title_fullStr | S1 Data - |
| title_full_unstemmed | S1 Data - |
| title_short | S1 Data - |
| title_sort | S1 Data - |
| topic | Neuroscience Physiology Biotechnology Science Policy Mental Health Chemical Sciences not elsewhere classified mobile phone addiction including descriptive statistics regression analysis shows promote physical activity increasing physical activity study utilized scales chain mediation model undergraduates &# 8217 control &# 8594 physical activity &# 8211 correlation analysis xlink "> various factors sleep quality quantitatively evaluate physiological health hypothesis tests convenient sample confidence tests college students behavioral levels 274 students 001 ). 001 ), |