Hubungan Kualitas Tidur Dengan Tekanan Darah Article Swipe
Widya Ratna Kusumaningrum
,
Rosalina Rosalina
,
Umi Setyoningrum
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.35473/ijnr.v3i2.901
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.35473/ijnr.v3i2.901
Good quality sleep gets fresh and healthy when awakened from sleep. Poor sleep quality is a risk factor for physical and psychological problems. The problem will arise activating the sympathetic nervous system which eventually causes an increase in blood pressure. So it is important to research because there are still many respondents who experience poor sleep quality with increasing blood pressure. To determine the correlation between sleep quality with blood pressure. Research design descriptive corellational with cross sectional approach. Population in this study is students of PSIK at Ngudi Waluyo University. The sample technique used purposive sampling. The number of samples is 78 respondents. Analysis of research data used the Spearman Rank Correlation test. The results showed that the students who experienced poor sleep quality were 70 respondents (89.7%). The highest blood pressure of the students was systolic blood pressure of 110 mmHg and diastolic blood pressure of 80 mmHg. On the relationship between sleep quality and systolic blood pressure with a coefficient (r) of 0.400, the strength of the relationship is interpreted at a low level. On the relationship between sleep quality and diastolic blood pressure with a coefficient (r) of 0.619, the strength of the relationship is interpreted at a high level. There was a significant correlation between sleep quality and blood pressure with p-value of 0,000 <0.05. It is expected that the respondents and the society should better regulate blood pressure in order to get good quality sleep.Key words: sleep qualityblood pressure
Related Topics
Concepts
Blood pressure
Spearman's rank correlation coefficient
Medicine
Sleep quality
Sleep (system call)
Rank correlation
Population
Correlation
Cardiology
Anesthesia
Physical therapy
Internal medicine
Statistics
Insomnia
Environmental health
Mathematics
Psychiatry
Operating system
Geometry
Computer science
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.35473/ijnr.v3i2.901
- OA Status
- hybrid
- Cited By
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3201259153
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W3201259153Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.35473/ijnr.v3i2.901Digital Object Identifier
- Title
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Hubungan Kualitas Tidur Dengan Tekanan DarahWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-03-30Full publication date if available
- Authors
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Widya Ratna Kusumaningrum, Rosalina Rosalina, Umi SetyoningrumList of authors in order
- Landing page
-
https://doi.org/10.35473/ijnr.v3i2.901Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
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https://doi.org/10.35473/ijnr.v3i2.901Direct OA link when available
- Concepts
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Blood pressure, Spearman's rank correlation coefficient, Medicine, Sleep quality, Sleep (system call), Rank correlation, Population, Correlation, Cardiology, Anesthesia, Physical therapy, Internal medicine, Statistics, Insomnia, Environmental health, Mathematics, Psychiatry, Operating system, Geometry, Computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1, 2023: 2Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.gets | 3 |
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| abstract_inverted_index.high | 202 |
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| abstract_inverted_index.cross | 76 |
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| abstract_inverted_index.0.619, | 192 |
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| abstract_inverted_index.design | 72 |
| abstract_inverted_index.factor | 17 |
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| abstract_inverted_index.sample | 92 |
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| abstract_inverted_index.showed | 116 |
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| abstract_inverted_index.system | 31 |
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| abstract_inverted_index.healthy | 6 |
| abstract_inverted_index.highest | 130 |
| abstract_inverted_index.nervous | 30 |
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| abstract_inverted_index.results | 115 |
| abstract_inverted_index.samples | 100 |
| abstract_inverted_index.society | 228 |
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| abstract_inverted_index.Analysis | 104 |
| abstract_inverted_index.Research | 71 |
| abstract_inverted_index.Spearman | 110 |
| abstract_inverted_index.awakened | 8 |
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| abstract_inverted_index.regulate | 231 |
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| abstract_inverted_index.strength | 167, 194 |
| abstract_inverted_index.students | 84, 119, 135 |
| abstract_inverted_index.systolic | 137, 157 |
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| abstract_inverted_index.determine | 62 |
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| abstract_inverted_index.sectional | 77 |
| abstract_inverted_index.sleep.Key | 240 |
| abstract_inverted_index.technique | 93 |
| abstract_inverted_index.Population | 79 |
| abstract_inverted_index.activating | 27 |
| abstract_inverted_index.eventually | 33 |
| abstract_inverted_index.experience | 53 |
| abstract_inverted_index.increasing | 58 |
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| abstract_inverted_index.University. | 90 |
| abstract_inverted_index.coefficient | 162, 189 |
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| abstract_inverted_index.descriptive | 73 |
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| abstract_inverted_index.interpreted | 172, 199 |
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| abstract_inverted_index.significant | 207 |
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| abstract_inverted_index.respondents. | 103 |
| abstract_inverted_index.corellational | 74 |
| abstract_inverted_index.psychological | 21 |
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| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/1 |
| sustainable_development_goals[0].score | 0.47999998927116394 |
| sustainable_development_goals[0].display_name | No poverty |
| citation_normalized_percentile.value | 0.78852703 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |