Ontology type: schema:ScholarlyArticle Open Access: True
2021-07-15
AUTHORS ABSTRACTPurpose of ReviewTelemedicine has become popular as an alternative for in-person weight loss treatment during the COVID-19 pandemic. This review focuses on weight loss interventions utilizing real-time telemedicine.Recent FindingsTelemedicine interventions are usually run as a weekly counseling and educational session or as a complement to a primarily Web-based intervention. A wide variety of healthcare professionals may provide the intervention. Common content includes portion control, increased physical activity, and relapse prevention. Self-monitoring is associated with intervention success. Modalities considered include online chats, text messages, phone calls, and videoconferences. Videoconferencing may be especially useful in capturing the interpersonal connection associated with in-person care but is understudied compared to other modalities. While many interventions show improvements in weight and weight-related outcomes, small sample sizes limit generalizability. Technology access and digital literacy are both necessary.SummaryTelemedicine interventions can successfully help patients with obesity lose weight. Telemedicine interventions provide a safe, remote alternative and may expand treatment access to hard-to-reach populations. Further research is needed on telemedicine weight loss treatments for seniors, men, and ethnic minorities, as well as on the impact of long-term interventions. More... »
PAGES17
http://scigraph.springernature.com/pub.10.1007/s12170-021-00680-w
DOIhttp://dx.doi.org/10.1007/s12170-021-00680-w
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1139725451
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/34306296
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/2008/11",
"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/2008/1117",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Public Health and Health Services",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Department of Family Medicine and Community Health, Case Western Reserve University, 11100 Euclid Avenue, 44106, Cleveland, OH, USA",
"id": "http://www.grid.ac/institutes/grid.67105.35",
"name": [
"Department of Family Medicine and Community Health, Case Western Reserve University, 11100 Euclid Avenue, 44106, Cleveland, OH, USA"
],
"type": "Organization"
},
"familyName": "Ufholz",
"givenName": "Kelsey",
"id": "sg:person.014570377107.56",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014570377107.56"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Family Medicine and Community Health, Case Western Reserve University, 11100 Euclid Avenue, 44106, Cleveland, OH, USA",
"id": "http://www.grid.ac/institutes/grid.67105.35",
"name": [
"Department of Family Medicine and Community Health, Case Western Reserve University, 11100 Euclid Avenue, 44106, Cleveland, OH, USA"
],
"type": "Organization"
},
"familyName": "Bhargava",
"givenName": "Daksh",
"id": "sg:person.015577441465.30",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015577441465.30"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/s11695-016-2337-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029784808",
"https://doi.org/10.1007/s11695-016-2337-3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s12877-016-0396-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040577770",
"https://doi.org/10.1186/s12877-016-0396-x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11882-020-00956-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1129669344",
"https://doi.org/10.1007/s11882-020-00956-y"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s12170-020-00654-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1130259884",
"https://doi.org/10.1007/s12170-020-00654-4"
],
"type": "CreativeWork"
}
],
"datePublished": "2021-07-15",
"datePublishedReg": "2021-07-15",
"description": "Purpose of ReviewTelemedicine has become popular as an alternative for in-person weight loss treatment during the COVID-19 pandemic. This review focuses on weight loss interventions utilizing real-time telemedicine.Recent FindingsTelemedicine interventions are usually run as a weekly counseling and educational session or as a complement to a primarily Web-based intervention. A wide variety of healthcare professionals may provide the intervention. Common content includes portion control, increased physical activity, and relapse prevention. Self-monitoring is associated with intervention success. Modalities considered include online chats, text messages, phone calls, and videoconferences. Videoconferencing may be especially useful in capturing the interpersonal connection associated with in-person care but is understudied compared to other modalities. While many interventions show improvements in weight and weight-related outcomes, small sample sizes limit generalizability. Technology access and digital literacy are both necessary.SummaryTelemedicine interventions can successfully help patients with obesity lose weight. Telemedicine interventions provide a safe, remote alternative and may expand treatment access to hard-to-reach populations. Further research is needed on telemedicine weight loss treatments for seniors, men, and ethnic minorities, as well as on the impact of long-term interventions.",
"genre": "article",
"id": "sg:pub.10.1007/s12170-021-00680-w",
"inLanguage": "en",
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1039476",
"issn": [
"1932-9520",
"1932-9563"
],
"name": "Current Cardiovascular Risk Reports",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "9",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "15"
}
],
"keywords": [
"weight loss treatment",
"telemedicine interventions",
"loss treatment",
"weight loss intervention",
"weight-related outcomes",
"web-based intervention",
"long-term interventions",
"real-time telemedicine",
"loss intervention",
"weekly counseling",
"person care",
"physical activity",
"treatment access",
"relapse prevention",
"educational sessions",
"healthcare professionals",
"portion control",
"small sample size",
"weight loss",
"intervention",
"intervention success",
"COVID-19 pandemic",
"remote alternatives",
"phone calls",
"treatment",
"modalities",
"further research",
"sample size",
"text messages",
"patients",
"obesity",
"review",
"ethnic minorities",
"prevention",
"care",
"outcomes",
"counseling",
"men",
"weight",
"telemedicine",
"sessions",
"pandemic",
"professionals",
"population",
"seniors",
"technology access",
"access",
"minority",
"videoconference",
"control",
"activity",
"wide variety",
"generalizability",
"videoconferencing",
"alternative",
"complement",
"interpersonal connections",
"loss",
"improvement",
"chat",
"purpose",
"success",
"impact",
"variety",
"calls",
"literacy",
"common content",
"research",
"size",
"content",
"online chat",
"messages",
"connection",
"digital literacy"
],
"name": "A Review of Telemedicine Interventions for Weight Loss",
"pagination": "17",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1139725451"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s12170-021-00680-w"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"34306296"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s12170-021-00680-w",
"https://app.dimensions.ai/details/publication/pub.1139725451"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-20T07:38",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_882.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1007/s12170-021-00680-w"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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.10.1007/s12170-021-00680-w'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12170-021-00680-w'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12170-021-00680-w'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12170-021-00680-w'
This table displays all metadata directly associated to this object as RDF triples.
159 TRIPLES
22 PREDICATES
104 URIs
92 LITERALS
7 BLANK NODES
Subject | Predicate | Object | |
---|---|---|---|
1 | sg:pub.10.1007/s12170-021-00680-w | schema:about | anzsrc-for:11 |
2 | ″ | ″ | anzsrc-for:1117 |
3 | ″ | schema:author | Ndb5ac45c647c4cc48008e56cbfad68df |
4 | ″ | schema:citation | sg:pub.10.1007/s11695-016-2337-3 |
5 | ″ | ″ | sg:pub.10.1007/s11882-020-00956-y |
6 | ″ | ″ | sg:pub.10.1007/s12170-020-00654-4 |
7 | ″ | ″ | sg:pub.10.1186/s12877-016-0396-x |
8 | ″ | schema:datePublished | 2021-07-15 |
9 | ″ | schema:datePublishedReg | 2021-07-15 |
10 | ″ | schema:description | Purpose of ReviewTelemedicine has become popular as an alternative for in-person weight loss treatment during the COVID-19 pandemic. This review focuses on weight loss interventions utilizing real-time telemedicine.Recent FindingsTelemedicine interventions are usually run as a weekly counseling and educational session or as a complement to a primarily Web-based intervention. A wide variety of healthcare professionals may provide the intervention. Common content includes portion control, increased physical activity, and relapse prevention. Self-monitoring is associated with intervention success. Modalities considered include online chats, text messages, phone calls, and videoconferences. Videoconferencing may be especially useful in capturing the interpersonal connection associated with in-person care but is understudied compared to other modalities. While many interventions show improvements in weight and weight-related outcomes, small sample sizes limit generalizability. Technology access and digital literacy are both necessary.SummaryTelemedicine interventions can successfully help patients with obesity lose weight. Telemedicine interventions provide a safe, remote alternative and may expand treatment access to hard-to-reach populations. Further research is needed on telemedicine weight loss treatments for seniors, men, and ethnic minorities, as well as on the impact of long-term interventions. |
11 | ″ | schema:genre | article |
12 | ″ | schema:inLanguage | en |
13 | ″ | schema:isAccessibleForFree | true |
14 | ″ | schema:isPartOf | N4045fe19850d41ab9f3b6746f772bdc8 |
15 | ″ | ″ | Ne20bd1737ac24debb133563f92ecebdc |
16 | ″ | ″ | sg:journal.1039476 |
17 | ″ | schema:keywords | COVID-19 pandemic |
18 | ″ | ″ | access |
19 | ″ | ″ | activity |
20 | ″ | ″ | alternative |
21 | ″ | ″ | calls |
22 | ″ | ″ | care |
23 | ″ | ″ | chat |
24 | ″ | ″ | common content |
25 | ″ | ″ | complement |
26 | ″ | ″ | connection |
27 | ″ | ″ | content |
28 | ″ | ″ | control |
29 | ″ | ″ | counseling |
30 | ″ | ″ | digital literacy |
31 | ″ | ″ | educational sessions |
32 | ″ | ″ | ethnic minorities |
33 | ″ | ″ | further research |
34 | ″ | ″ | generalizability |
35 | ″ | ″ | healthcare professionals |
36 | ″ | ″ | impact |
37 | ″ | ″ | improvement |
38 | ″ | ″ | interpersonal connections |
39 | ″ | ″ | intervention |
40 | ″ | ″ | intervention success |
41 | ″ | ″ | literacy |
42 | ″ | ″ | long-term interventions |
43 | ″ | ″ | loss |
44 | ″ | ″ | loss intervention |
45 | ″ | ″ | loss treatment |
46 | ″ | ″ | men |
47 | ″ | ″ | messages |
48 | ″ | ″ | minority |
49 | ″ | ″ | modalities |
50 | ″ | ″ | obesity |
51 | ″ | ″ | online chat |
52 | ″ | ″ | outcomes |
53 | ″ | ″ | pandemic |
54 | ″ | ″ | patients |
55 | ″ | ″ | person care |
56 | ″ | ″ | phone calls |
57 | ″ | ″ | physical activity |
58 | ″ | ″ | population |
59 | ″ | ″ | portion control |
60 | ″ | ″ | prevention |
61 | ″ | ″ | professionals |
62 | ″ | ″ | purpose |
63 | ″ | ″ | real-time telemedicine |
64 | ″ | ″ | relapse prevention |
65 | ″ | ″ | remote alternatives |
66 | ″ | ″ | research |
67 | ″ | ″ | review |
68 | ″ | ″ | sample size |
69 | ″ | ″ | seniors |
70 | ″ | ″ | sessions |
71 | ″ | ″ | size |
72 | ″ | ″ | small sample size |
73 | ″ | ″ | success |
74 | ″ | ″ | technology access |
75 | ″ | ″ | telemedicine |
76 | ″ | ″ | telemedicine interventions |
77 | ″ | ″ | text messages |
78 | ″ | ″ | treatment |
79 | ″ | ″ | treatment access |
80 | ″ | ″ | variety |
81 | ″ | ″ | videoconference |
82 | ″ | ″ | videoconferencing |
83 | ″ | ″ | web-based intervention |
84 | ″ | ″ | weekly counseling |
85 | ″ | ″ | weight |
86 | ″ | ″ | weight loss |
87 | ″ | ″ | weight loss intervention |
88 | ″ | ″ | weight loss treatment |
89 | ″ | ″ | weight-related outcomes |
90 | ″ | ″ | wide variety |
91 | ″ | schema:name | A Review of Telemedicine Interventions for Weight Loss |
92 | ″ | schema:pagination | 17 |
93 | ″ | schema:productId | N0247060041c742fab6efd4ee4e57923c |
94 | ″ | ″ | N58d87f6b2d90489e820070d50643fdda |
95 | ″ | ″ | N76498b495e7b4a0f87266ea6a125b0f3 |
96 | ″ | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1139725451 |
97 | ″ | ″ | https://doi.org/10.1007/s12170-021-00680-w |
98 | ″ | schema:sdDatePublished | 2022-05-20T07:38 |
99 | ″ | schema:sdLicense | https://scigraph.springernature.com/explorer/license/ |
100 | ″ | schema:sdPublisher | Ndf66c83e1cb14174bb0cf8b8fb4fe697 |
101 | ″ | schema:url | https://doi.org/10.1007/s12170-021-00680-w |
102 | ″ | sgo:license | sg:explorer/license/ |
103 | ″ | sgo:sdDataset | articles |
104 | ″ | rdf:type | schema:ScholarlyArticle |
105 | N0247060041c742fab6efd4ee4e57923c | schema:name | doi |
106 | ″ | schema:value | 10.1007/s12170-021-00680-w |
107 | ″ | rdf:type | schema:PropertyValue |
108 | N1f2a2ba29507470e9daa55b197fc420e | rdf:first | sg:person.015577441465.30 |
109 | ″ | rdf:rest | rdf:nil |
110 | N4045fe19850d41ab9f3b6746f772bdc8 | schema:volumeNumber | 15 |
111 | ″ | rdf:type | schema:PublicationVolume |
112 | N58d87f6b2d90489e820070d50643fdda | schema:name | dimensions_id |
113 | ″ | schema:value | pub.1139725451 |
114 | ″ | rdf:type | schema:PropertyValue |
115 | N76498b495e7b4a0f87266ea6a125b0f3 | schema:name | pubmed_id |
116 | ″ | schema:value | 34306296 |
117 | ″ | rdf:type | schema:PropertyValue |
118 | Ndb5ac45c647c4cc48008e56cbfad68df | rdf:first | sg:person.014570377107.56 |
119 | ″ | rdf:rest | N1f2a2ba29507470e9daa55b197fc420e |
120 | Ndf66c83e1cb14174bb0cf8b8fb4fe697 | schema:name | Springer Nature - SN SciGraph project |
121 | ″ | rdf:type | schema:Organization |
122 | Ne20bd1737ac24debb133563f92ecebdc | schema:issueNumber | 9 |
123 | ″ | rdf:type | schema:PublicationIssue |
124 | anzsrc-for:11 | schema:inDefinedTermSet | anzsrc-for: |
125 | ″ | schema:name | Medical and Health Sciences |
126 | ″ | rdf:type | schema:DefinedTerm |
127 | anzsrc-for:1117 | schema:inDefinedTermSet | anzsrc-for: |
128 | ″ | schema:name | Public Health and Health Services |
129 | ″ | rdf:type | schema:DefinedTerm |
130 | sg:journal.1039476 | schema:issn | 1932-9520 |
131 | ″ | ″ | 1932-9563 |
132 | ″ | schema:name | Current Cardiovascular Risk Reports |
133 | ″ | schema:publisher | Springer Nature |
134 | ″ | rdf:type | schema:Periodical |
135 | sg:person.014570377107.56 | schema:affiliation | grid-institutes:grid.67105.35 |
136 | ″ | schema:familyName | Ufholz |
137 | ″ | schema:givenName | Kelsey |
138 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014570377107.56 |
139 | ″ | rdf:type | schema:Person |
140 | sg:person.015577441465.30 | schema:affiliation | grid-institutes:grid.67105.35 |
141 | ″ | schema:familyName | Bhargava |
142 | ″ | schema:givenName | Daksh |
143 | ″ | schema:sameAs | https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015577441465.30 |
144 | ″ | rdf:type | schema:Person |
145 | sg:pub.10.1007/s11695-016-2337-3 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1029784808 |
146 | ″ | ″ | https://doi.org/10.1007/s11695-016-2337-3 |
147 | ″ | rdf:type | schema:CreativeWork |
148 | sg:pub.10.1007/s11882-020-00956-y | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1129669344 |
149 | ″ | ″ | https://doi.org/10.1007/s11882-020-00956-y |
150 | ″ | rdf:type | schema:CreativeWork |
151 | sg:pub.10.1007/s12170-020-00654-4 | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1130259884 |
152 | ″ | ″ | https://doi.org/10.1007/s12170-020-00654-4 |
153 | ″ | rdf:type | schema:CreativeWork |
154 | sg:pub.10.1186/s12877-016-0396-x | schema:sameAs | https://app.dimensions.ai/details/publication/pub.1040577770 |
155 | ″ | ″ | https://doi.org/10.1186/s12877-016-0396-x |
156 | ″ | rdf:type | schema:CreativeWork |
157 | grid-institutes:grid.67105.35 | schema:alternateName | Department of Family Medicine and Community Health, Case Western Reserve University, 11100 Euclid Avenue, 44106, Cleveland, OH, USA |
158 | ″ | schema:name | Department of Family Medicine and Community Health, Case Western Reserve University, 11100 Euclid Avenue, 44106, Cleveland, OH, USA |
159 | ″ | rdf:type | schema:Organization |