Predicting health-related quality of life in cancer patients receiving chemotherapy: a structural equation approach using the self-control model View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-11-09

AUTHORS

Yu-Ri Park, Eun-Young Park, Jung-Hee Kim

ABSTRACT

BACKGROUND: According to the self-control model, self-control works as a protective factor and a psychological resource. Although an understanding of the effect(s) of peripheral neuropathy on quality of life is important to healthcare professionals, previous studies do not facilitate broad comprehension in this regard. The purpose of this cross-sectional study was to test the multidimensional assumptions of quality of life of patients with cancer, with focus on their self-control. METHODS: A structural equation model was tested on patients with cancer at the oncology clinic of a university hospital where patients received chemotherapy. A model was tested using structural equation modeling, which allows the researcher to find the empirical evidence by testing a measurement model and a structural model. The model comprised three variables, self-control, health related quality of life, and chemotherapy-induced peripheral neuropathy. Among the variables, self-control was the endogenous and mediating variable. RESULTS: The proposed models showed good fit indices. Self-control partially mediated chemotherapy-induced peripheral neuropathy and quality of life. It was found that the physical symptoms of peripheral neuropathy influenced health-related quality of life both indirectly and directly. CONCLUSIONS: Self-control plays a significant role in the protection and promotion of physical and mental health in various stressful situations, and thus, as a psychological resource, it plays a significant role in quality of life. Our results can be used to develop a quality of life model for patients receiving chemotherapy and as a theoretical foundation for the development of appropriate nursing interventions. More... »

PAGES

710

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12913-017-2675-4

DOI

http://dx.doi.org/10.1186/s12913-017-2675-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1092614849

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29121913


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0807", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Library and Information Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1110", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Nursing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cross-Sectional Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Forecasting", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Health Status", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Psychological", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Statistical", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Quality of Life", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Self-Control", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Stress, Psychological", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Surveys and Questionnaires", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Dankook University Hospital, 201 Manghyang-ro, Dongnam-gu, Cheonan, Chung Nam 31116 South Korea", 
          "id": "http://www.grid.ac/institutes/grid.411983.6", 
          "name": [
            "Dankook University Hospital, 201 Manghyang-ro, Dongnam-gu, Cheonan, Chung Nam 31116 South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Park", 
        "givenName": "Yu-Ri", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Secondary Special Education, College of Education, Jeonju University, 45 Baengma-gil, Wansan-gu, Jeonju, 560-759 South Korea", 
          "id": "http://www.grid.ac/institutes/grid.411845.d", 
          "name": [
            "Department of Secondary Special Education, College of Education, Jeonju University, 45 Baengma-gil, Wansan-gu, Jeonju, 560-759 South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Park", 
        "givenName": "Eun-Young", 
        "id": "sg:person.014630456575.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014630456575.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "College of Nursing, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591 South Korea", 
          "id": "http://www.grid.ac/institutes/grid.411947.e", 
          "name": [
            "College of Nursing, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591 South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Jung-Hee", 
        "id": "sg:person.01255264117.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255264117.69"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00520-014-2255-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016775495", 
          "https://doi.org/10.1007/s00520-014-2255-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12094-010-0474-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019562558", 
          "https://doi.org/10.1007/s12094-010-0474-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:qure.0000021692.81214.70", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049431077", 
          "https://doi.org/10.1023/b:qure.0000021692.81214.70"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11136-006-9106-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039956938", 
          "https://doi.org/10.1007/s11136-006-9106-z"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-11-09", 
    "datePublishedReg": "2017-11-09", 
    "description": "BACKGROUND: According to the self-control model, self-control works as a protective factor and a psychological resource. Although an understanding of the effect(s) of peripheral neuropathy on quality of life is important to healthcare professionals, previous studies do not facilitate broad comprehension in this regard. The purpose of this cross-sectional study was to test the multidimensional assumptions of quality of life of patients with cancer, with focus on their self-control.\nMETHODS: A structural equation model was tested on patients with cancer at the oncology clinic of a university hospital where patients received chemotherapy. A model was tested using structural equation modeling, which allows the researcher to find the empirical evidence by testing a measurement model and a structural model. The model comprised three variables, self-control, health related quality of life, and chemotherapy-induced peripheral neuropathy. Among the variables, self-control was the endogenous and mediating variable.\nRESULTS: The proposed models showed good fit indices. Self-control partially mediated chemotherapy-induced peripheral neuropathy and quality of life. It was found that the physical symptoms of peripheral neuropathy influenced health-related quality of life both indirectly and directly.\nCONCLUSIONS: Self-control plays a significant role in the protection and promotion of physical and mental health in various stressful situations, and thus, as a psychological resource, it plays a significant role in quality of life. Our results can be used to develop a quality of life model for patients receiving chemotherapy and as a theoretical foundation for the development of appropriate nursing interventions.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s12913-017-2675-4", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1327417", 
        "issn": [
          "1472-6963"
        ], 
        "name": "BMC Health Services Research", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "17"
      }
    ], 
    "keywords": [
      "quality of life", 
      "chemotherapy-induced peripheral neuropathy", 
      "health-related quality", 
      "peripheral neuropathy", 
      "cross-sectional study", 
      "appropriate nursing interventions", 
      "lives of patients", 
      "oncology clinic", 
      "cancer patients", 
      "University Hospital", 
      "nursing interventions", 
      "patients", 
      "physical symptoms", 
      "neuropathy", 
      "chemotherapy", 
      "protective factors", 
      "mental health", 
      "cancer", 
      "stressful situations", 
      "good fit indices", 
      "health", 
      "psychological resources", 
      "previous studies", 
      "significant role", 
      "clinic", 
      "hospital", 
      "symptoms", 
      "life", 
      "fit indices", 
      "intervention", 
      "study", 
      "role", 
      "quality", 
      "professionals", 
      "self-control model", 
      "variables", 
      "evidence", 
      "index", 
      "factors", 
      "promotion", 
      "protection", 
      "regard", 
      "purpose", 
      "development", 
      "model", 
      "structural equation modeling", 
      "structural equation model", 
      "equation model", 
      "focus", 
      "results", 
      "understanding", 
      "equation modeling", 
      "situation", 
      "approach", 
      "structural equation approach", 
      "resources", 
      "researchers", 
      "comprehension", 
      "empirical evidence", 
      "measurement model", 
      "life model", 
      "foundation", 
      "theoretical foundation", 
      "structural model", 
      "equation approach", 
      "broader comprehension", 
      "modeling", 
      "assumption", 
      "multidimensional assumptions"
    ], 
    "name": "Predicting health-related quality of life in cancer patients receiving chemotherapy: a structural equation approach using the self-control model", 
    "pagination": "710", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1092614849"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12913-017-2675-4"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29121913"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12913-017-2675-4", 
      "https://app.dimensions.ai/details/publication/pub.1092614849"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-12-01T19:39", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_738.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s12913-017-2675-4"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12913-017-2675-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12913-017-2675-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12913-017-2675-4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12913-017-2675-4'


 

This table displays all metadata directly associated to this object as RDF triples.

241 TRIPLES      22 PREDICATES      118 URIs      103 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12913-017-2675-4 schema:about N082e891efec84cc0984884a44611c0f9
2 N13c251cb798045d88bc4fe92635cdfa5
3 N1bfd93f7ce8043a0b041663e2e26f966
4 N33df2e7b90aa4b18956398199f298ca4
5 N58a0ec0605224457977149f606917a9f
6 N65223d987354443c9e1e5dcd2642c18d
7 N778ac1e11e25474e8f1e52854ba8b1c4
8 N80ff07f11e1f4c5ba8707965ec56e4a9
9 N8678de49490343f08e8662a0eeadd827
10 N9c7bf832d6cd414ea3bc3bb4ba46c1d7
11 Nac467c35133a44108de6170775716da5
12 Nbebea1912bb449eba64ef1f9f807cea7
13 Nc2b19474928f43a586bd64e6048acb79
14 Nca288897dd504a01807f5456b80388e9
15 Ncfd754ae0f4b4a09b4fbc3b591f03fc3
16 Ne2111d29c5844ce98a9a5934692cb6a2
17 anzsrc-for:08
18 anzsrc-for:0807
19 anzsrc-for:11
20 anzsrc-for:1110
21 anzsrc-for:1117
22 schema:author N5da1f3b69fb847898414c352983c5104
23 schema:citation sg:pub.10.1007/s00520-014-2255-7
24 sg:pub.10.1007/s11136-006-9106-z
25 sg:pub.10.1007/s12094-010-0474-z
26 sg:pub.10.1023/b:qure.0000021692.81214.70
27 schema:datePublished 2017-11-09
28 schema:datePublishedReg 2017-11-09
29 schema:description BACKGROUND: According to the self-control model, self-control works as a protective factor and a psychological resource. Although an understanding of the effect(s) of peripheral neuropathy on quality of life is important to healthcare professionals, previous studies do not facilitate broad comprehension in this regard. The purpose of this cross-sectional study was to test the multidimensional assumptions of quality of life of patients with cancer, with focus on their self-control. METHODS: A structural equation model was tested on patients with cancer at the oncology clinic of a university hospital where patients received chemotherapy. A model was tested using structural equation modeling, which allows the researcher to find the empirical evidence by testing a measurement model and a structural model. The model comprised three variables, self-control, health related quality of life, and chemotherapy-induced peripheral neuropathy. Among the variables, self-control was the endogenous and mediating variable. RESULTS: The proposed models showed good fit indices. Self-control partially mediated chemotherapy-induced peripheral neuropathy and quality of life. It was found that the physical symptoms of peripheral neuropathy influenced health-related quality of life both indirectly and directly. CONCLUSIONS: Self-control plays a significant role in the protection and promotion of physical and mental health in various stressful situations, and thus, as a psychological resource, it plays a significant role in quality of life. Our results can be used to develop a quality of life model for patients receiving chemotherapy and as a theoretical foundation for the development of appropriate nursing interventions.
30 schema:genre article
31 schema:inLanguage en
32 schema:isAccessibleForFree true
33 schema:isPartOf N8b9f9e313e44404babd1dc3a23ddc5b6
34 Ndf30322bb8d74b6d8a32ae4fcc70ba81
35 sg:journal.1327417
36 schema:keywords University Hospital
37 approach
38 appropriate nursing interventions
39 assumption
40 broader comprehension
41 cancer
42 cancer patients
43 chemotherapy
44 chemotherapy-induced peripheral neuropathy
45 clinic
46 comprehension
47 cross-sectional study
48 development
49 empirical evidence
50 equation approach
51 equation model
52 equation modeling
53 evidence
54 factors
55 fit indices
56 focus
57 foundation
58 good fit indices
59 health
60 health-related quality
61 hospital
62 index
63 intervention
64 life
65 life model
66 lives of patients
67 measurement model
68 mental health
69 model
70 modeling
71 multidimensional assumptions
72 neuropathy
73 nursing interventions
74 oncology clinic
75 patients
76 peripheral neuropathy
77 physical symptoms
78 previous studies
79 professionals
80 promotion
81 protection
82 protective factors
83 psychological resources
84 purpose
85 quality
86 quality of life
87 regard
88 researchers
89 resources
90 results
91 role
92 self-control model
93 significant role
94 situation
95 stressful situations
96 structural equation approach
97 structural equation model
98 structural equation modeling
99 structural model
100 study
101 symptoms
102 theoretical foundation
103 understanding
104 variables
105 schema:name Predicting health-related quality of life in cancer patients receiving chemotherapy: a structural equation approach using the self-control model
106 schema:pagination 710
107 schema:productId N141eb53a7a6d4f8e8050574e091b6bce
108 Neec79866423f4cf89f9d7460581a6d4e
109 Nf710d279907144549958b308a646d545
110 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092614849
111 https://doi.org/10.1186/s12913-017-2675-4
112 schema:sdDatePublished 2021-12-01T19:39
113 schema:sdLicense https://scigraph.springernature.com/explorer/license/
114 schema:sdPublisher N04938f84637442779c6f58fd174800cc
115 schema:url https://doi.org/10.1186/s12913-017-2675-4
116 sgo:license sg:explorer/license/
117 sgo:sdDataset articles
118 rdf:type schema:ScholarlyArticle
119 N04938f84637442779c6f58fd174800cc schema:name Springer Nature - SN SciGraph project
120 rdf:type schema:Organization
121 N082e891efec84cc0984884a44611c0f9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Health Status
123 rdf:type schema:DefinedTerm
124 N13c251cb798045d88bc4fe92635cdfa5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Stress, Psychological
126 rdf:type schema:DefinedTerm
127 N141eb53a7a6d4f8e8050574e091b6bce schema:name dimensions_id
128 schema:value pub.1092614849
129 rdf:type schema:PropertyValue
130 N1bfd93f7ce8043a0b041663e2e26f966 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Surveys and Questionnaires
132 rdf:type schema:DefinedTerm
133 N33df2e7b90aa4b18956398199f298ca4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Humans
135 rdf:type schema:DefinedTerm
136 N58a0ec0605224457977149f606917a9f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Middle Aged
138 rdf:type schema:DefinedTerm
139 N5da1f3b69fb847898414c352983c5104 rdf:first N7cf6678e6ab244f8b35f8f68b3a7dd7e
140 rdf:rest Neb244584fa73455d92e009c11cbaf643
141 N65223d987354443c9e1e5dcd2642c18d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Neoplasms
143 rdf:type schema:DefinedTerm
144 N778ac1e11e25474e8f1e52854ba8b1c4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Aged
146 rdf:type schema:DefinedTerm
147 N7cf6678e6ab244f8b35f8f68b3a7dd7e schema:affiliation grid-institutes:grid.411983.6
148 schema:familyName Park
149 schema:givenName Yu-Ri
150 rdf:type schema:Person
151 N80ff07f11e1f4c5ba8707965ec56e4a9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Quality of Life
153 rdf:type schema:DefinedTerm
154 N8678de49490343f08e8662a0eeadd827 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Female
156 rdf:type schema:DefinedTerm
157 N8b9f9e313e44404babd1dc3a23ddc5b6 schema:issueNumber 1
158 rdf:type schema:PublicationIssue
159 N9c7bf832d6cd414ea3bc3bb4ba46c1d7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Forecasting
161 rdf:type schema:DefinedTerm
162 Nac467c35133a44108de6170775716da5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Adult
164 rdf:type schema:DefinedTerm
165 Nbebea1912bb449eba64ef1f9f807cea7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Models, Psychological
167 rdf:type schema:DefinedTerm
168 Nc2b19474928f43a586bd64e6048acb79 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
169 schema:name Models, Statistical
170 rdf:type schema:DefinedTerm
171 Nca288897dd504a01807f5456b80388e9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
172 schema:name Male
173 rdf:type schema:DefinedTerm
174 Ncfd754ae0f4b4a09b4fbc3b591f03fc3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
175 schema:name Cross-Sectional Studies
176 rdf:type schema:DefinedTerm
177 Ndf30322bb8d74b6d8a32ae4fcc70ba81 schema:volumeNumber 17
178 rdf:type schema:PublicationVolume
179 Ne2111d29c5844ce98a9a5934692cb6a2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
180 schema:name Self-Control
181 rdf:type schema:DefinedTerm
182 Ne69b714f97b04114a4d8e4376b0ae1dc rdf:first sg:person.01255264117.69
183 rdf:rest rdf:nil
184 Neb244584fa73455d92e009c11cbaf643 rdf:first sg:person.014630456575.21
185 rdf:rest Ne69b714f97b04114a4d8e4376b0ae1dc
186 Neec79866423f4cf89f9d7460581a6d4e schema:name doi
187 schema:value 10.1186/s12913-017-2675-4
188 rdf:type schema:PropertyValue
189 Nf710d279907144549958b308a646d545 schema:name pubmed_id
190 schema:value 29121913
191 rdf:type schema:PropertyValue
192 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
193 schema:name Information and Computing Sciences
194 rdf:type schema:DefinedTerm
195 anzsrc-for:0807 schema:inDefinedTermSet anzsrc-for:
196 schema:name Library and Information Studies
197 rdf:type schema:DefinedTerm
198 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
199 schema:name Medical and Health Sciences
200 rdf:type schema:DefinedTerm
201 anzsrc-for:1110 schema:inDefinedTermSet anzsrc-for:
202 schema:name Nursing
203 rdf:type schema:DefinedTerm
204 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
205 schema:name Public Health and Health Services
206 rdf:type schema:DefinedTerm
207 sg:journal.1327417 schema:issn 1472-6963
208 schema:name BMC Health Services Research
209 schema:publisher Springer Nature
210 rdf:type schema:Periodical
211 sg:person.01255264117.69 schema:affiliation grid-institutes:grid.411947.e
212 schema:familyName Kim
213 schema:givenName Jung-Hee
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255264117.69
215 rdf:type schema:Person
216 sg:person.014630456575.21 schema:affiliation grid-institutes:grid.411845.d
217 schema:familyName Park
218 schema:givenName Eun-Young
219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014630456575.21
220 rdf:type schema:Person
221 sg:pub.10.1007/s00520-014-2255-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016775495
222 https://doi.org/10.1007/s00520-014-2255-7
223 rdf:type schema:CreativeWork
224 sg:pub.10.1007/s11136-006-9106-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1039956938
225 https://doi.org/10.1007/s11136-006-9106-z
226 rdf:type schema:CreativeWork
227 sg:pub.10.1007/s12094-010-0474-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1019562558
228 https://doi.org/10.1007/s12094-010-0474-z
229 rdf:type schema:CreativeWork
230 sg:pub.10.1023/b:qure.0000021692.81214.70 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049431077
231 https://doi.org/10.1023/b:qure.0000021692.81214.70
232 rdf:type schema:CreativeWork
233 grid-institutes:grid.411845.d schema:alternateName Department of Secondary Special Education, College of Education, Jeonju University, 45 Baengma-gil, Wansan-gu, Jeonju, 560-759 South Korea
234 schema:name Department of Secondary Special Education, College of Education, Jeonju University, 45 Baengma-gil, Wansan-gu, Jeonju, 560-759 South Korea
235 rdf:type schema:Organization
236 grid-institutes:grid.411947.e schema:alternateName College of Nursing, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591 South Korea
237 schema:name College of Nursing, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591 South Korea
238 rdf:type schema:Organization
239 grid-institutes:grid.411983.6 schema:alternateName Dankook University Hospital, 201 Manghyang-ro, Dongnam-gu, Cheonan, Chung Nam 31116 South Korea
240 schema:name Dankook University Hospital, 201 Manghyang-ro, Dongnam-gu, Cheonan, Chung Nam 31116 South Korea
241 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...