Effects of nutrition intervention strategies in the primary prevention of overweight and obesity in school settings: a protocol for a systematic review and network meta-analysis.


Journal

Systematic reviews
ISSN: 2046-4053
Titre abrégé: Syst Rev
Pays: England
ID NLM: 101580575

Informations de publication

Date de publication:
22 04 2021
Historique:
received: 25 11 2020
accepted: 01 04 2021
entrez: 23 4 2021
pubmed: 24 4 2021
medline: 6 7 2021
Statut: epublish

Résumé

Overweight and obesity in children and adolescents are major public health challenges affecting quality of life and representing important risk factors in the development of non-communicable diseases. School environments provide great possibilities for the primary prevention of overweight and obesity and different school-based nutrition interventions are available. However, existing research on school-based nutrition interventions has important limitations and no network meta-analysis (NMA) has been performed yet to compare all available interventions. Therefore, the present research project aims to investigate the impact of different nutrition interventions in the school setting by comparing and ranking them using NMA methodology. A systematic literature search will be performed in 11 electronic databases (PubMed, the Cochrane Library, Web of Science, ERIC, PsycINFO, CAB Abstracts, Campbell Library, BiblioMap EPPI, Australian Education Index, Joanna Briggs Institute Evidence-Based Practice Database and Practice-based Evidence in Nutrition Database). Parallel or cluster randomized controlled trials (RCTs) meeting the following criteria will be included: (1) generally healthy school students aged 4-18 years, (2) school-based intervention with ≥ 1 nutrition component, and (3) assessed anthropometric (overweight/obesity risk, body weight change, weight Z-score, [standardized] body mass index, body fat, waist circumference) and/or diet-quality measures (daily intake of fruits and vegetables, fat, and sugar-sweetened beverages). Random effects pairwise and NMA will be performed for these outcomes and surface under the cumulative ranking curve (SUCRA) estimated (P-score). Where possible, component NMA (CNMA) will be used additionally. Subgroup analyses are carried out for intervention duration, gender, age of school students, socioeconomic status, and geographical location, and sensitivity analyses by excluding high risk of bias RCTs. This systematic review and NMA will be the first to both directly and indirectly compare and rank different school-based nutrition interventions for the primary prevention of overweight and obesity in childhood and adolescence. Our analyses will provide important insights about the effects of the different interventions and show which are the most promising. The results of our study can help inform the design of new studies and will be of value to anyone interested in developing successful, evidence-based nutrition interventions in school settings. PROSPERO: CRD42020220451 .

Sections du résumé

BACKGROUND
Overweight and obesity in children and adolescents are major public health challenges affecting quality of life and representing important risk factors in the development of non-communicable diseases. School environments provide great possibilities for the primary prevention of overweight and obesity and different school-based nutrition interventions are available. However, existing research on school-based nutrition interventions has important limitations and no network meta-analysis (NMA) has been performed yet to compare all available interventions. Therefore, the present research project aims to investigate the impact of different nutrition interventions in the school setting by comparing and ranking them using NMA methodology.
METHODS/DESIGN
A systematic literature search will be performed in 11 electronic databases (PubMed, the Cochrane Library, Web of Science, ERIC, PsycINFO, CAB Abstracts, Campbell Library, BiblioMap EPPI, Australian Education Index, Joanna Briggs Institute Evidence-Based Practice Database and Practice-based Evidence in Nutrition Database). Parallel or cluster randomized controlled trials (RCTs) meeting the following criteria will be included: (1) generally healthy school students aged 4-18 years, (2) school-based intervention with ≥ 1 nutrition component, and (3) assessed anthropometric (overweight/obesity risk, body weight change, weight Z-score, [standardized] body mass index, body fat, waist circumference) and/or diet-quality measures (daily intake of fruits and vegetables, fat, and sugar-sweetened beverages). Random effects pairwise and NMA will be performed for these outcomes and surface under the cumulative ranking curve (SUCRA) estimated (P-score). Where possible, component NMA (CNMA) will be used additionally. Subgroup analyses are carried out for intervention duration, gender, age of school students, socioeconomic status, and geographical location, and sensitivity analyses by excluding high risk of bias RCTs.
DISCUSSION
This systematic review and NMA will be the first to both directly and indirectly compare and rank different school-based nutrition interventions for the primary prevention of overweight and obesity in childhood and adolescence. Our analyses will provide important insights about the effects of the different interventions and show which are the most promising. The results of our study can help inform the design of new studies and will be of value to anyone interested in developing successful, evidence-based nutrition interventions in school settings.
SYSTEMATIC REVIEW REGISTRATION
PROSPERO: CRD42020220451 .

Identifiants

pubmed: 33888162
doi: 10.1186/s13643-021-01661-1
pii: 10.1186/s13643-021-01661-1
pmc: PMC8063346
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

122

Références

Obes Facts. 2012;5(1):1-11
pubmed: 22433612
Pediatrics. 2008 Apr;121(4):e794-802
pubmed: 18381508
J Immigr Minor Health. 2017 Apr;19(2):254-262
pubmed: 27388441
Circulation. 2012 Jul 3;126(1):126-32
pubmed: 22753534
J Clin Epidemiol. 2011 Feb;64(2):163-71
pubmed: 20688472
J Hum Nutr Diet. 2016 Apr;29(2):225-40
pubmed: 26453428
Lancet. 2017 Dec 16;390(10113):2627-2642
pubmed: 29029897
Int J Behav Nutr Phys Act. 2015 Feb 25;12:28
pubmed: 25889098
J Am Diet Assoc. 2006 Feb;106(2):248-52
pubmed: 16442873
Lancet. 2018 Nov 10;392(10159):1736-1788
pubmed: 30496103
Am J Clin Nutr. 2012 Oct;96(4):889-901
pubmed: 22952187
BMC Public Health. 2016 Sep 13;16:973
pubmed: 27624139
World Health Organ Tech Rep Ser. 2003;916:i-viii, 1-149, backcover
pubmed: 12768890
Public Health Nutr. 2010 Jun;13(6A):973-9
pubmed: 20513268
Appetite. 2018 Aug 1;127:138-154
pubmed: 29702128
BMC Med Res Methodol. 2013 Mar 09;13:35
pubmed: 23496991
Br J Nutr. 1994 Oct;72(4):619-43
pubmed: 7986792
Pediatr Obes. 2016 Oct;11(5):321-5
pubmed: 27684716
BMJ. 2012 Jan 15;346:e7492
pubmed: 23321486
Int J Obes (Lond). 2008 Dec;32(12):1780-9
pubmed: 19079319
Cochrane Database Syst Rev. 2014 Apr 16;(4):CD008958
pubmed: 24737131
BMJ. 2012 Sep 25;345:e4759
pubmed: 23015032
BMJ. 2000 May 6;320(7244):1240-3
pubmed: 10797032
Pediatrics. 2009 Apr;123(4):e661-7
pubmed: 19336356
J Public Health (Oxf). 2012 Aug;34(3):360-9
pubmed: 22267291
BMJ. 2001 Nov 3;323(7320):1029-32
pubmed: 11691759
Am J Clin Nutr. 2003 Nov;78(5):1030-8
pubmed: 14594792
Obes Rev. 2016 Mar;17(3):201-10
pubmed: 26693944
Int J Behav Nutr Phys Act. 2014 Jan 22;11:4
pubmed: 24450617
J Sch Health. 2012 Mar;82(3):115-22
pubmed: 22320335
Prev Med. 2005 Aug;41(2):463-70
pubmed: 15917042
J Public Health (Oxf). 2017 Sep 1;39(3):567-573
pubmed: 27591297
J Hum Hypertens. 2018 Jun;32(6):392-396
pubmed: 29410454
Obes Sci Pract. 2017 Jul 20;3(3):235-248
pubmed: 29071100
Ann Intern Med. 2015 Jun 2;162(11):777-84
pubmed: 26030634
Am J Clin Nutr. 2013 Jul;98(1):180-8
pubmed: 23676424
Health Educ Behav. 2004 Apr;31(2):270-87
pubmed: 15090126
PLoS One. 2018 Mar 29;13(3):e0194555
pubmed: 29596440
Res Synth Methods. 2012 Jun;3(2):80-97
pubmed: 26062083
J Obes. 2014;2014:476230
pubmed: 25328688
Adv Nutr. 2019 Sep 1;10(5):739-754
pubmed: 31075165
J Nutr. 2016 Sep;146(9):1881S-7S
pubmed: 27511928
Cochrane Database Syst Rev. 2019 Oct 3;10:ED000142
pubmed: 31643080
Nutrients. 2014 May 23;6(5):2088-103
pubmed: 24858495
BMJ. 1997 Sep 13;315(7109):629-34
pubmed: 9310563
Int J Obes (Lond). 2005 Sep;29 Suppl 2:S54-7
pubmed: 16385753
PLoS One. 2017 Sep 14;12(9):e0184704
pubmed: 28910362
Bull World Health Organ. 2007 Sep;85(9):660-7
pubmed: 18026621
BMJ. 2019 Aug 28;366:l4898
pubmed: 31462531
Obesity (Silver Spring). 2012 Aug;20(8):1653-61
pubmed: 22402733
Public Health Nutr. 2005 Sep;8(6):650-6
pubmed: 16236195
Prev Med. 2009 Jan;48(1):45-53
pubmed: 19026676
J Nutr. 2004 May;134(5):1175-80
pubmed: 15113966
Am J Prev Med. 2017 Apr;52(4):451-458
pubmed: 28214248
Br J Nutr. 2008 Apr;99(4):893-903
pubmed: 17953787
Biom J. 2014 Nov;56(6):973-90
pubmed: 25225031
Stat Med. 2016 Mar 30;35(7):978-1000
pubmed: 26250759
Trials. 2018 Jul 11;19(1):365
pubmed: 29996869
Am J Epidemiol. 2009 May 1;169(9):1158-65
pubmed: 19258485
Nutr Rev. 2021 Feb 11;79(3):274-288
pubmed: 32984896
Int J Obes (Lond). 2014 Sep;38 Suppl 2:S144-51
pubmed: 25376216
Res Synth Methods. 2012 Jun;3(2):161-76
pubmed: 26062088
Res Synth Methods. 2017 Jun;8(2):236-250
pubmed: 27390267
Stat Methods Med Res. 2018 May;27(5):1312-1330
pubmed: 27587588
Public Health Nutr. 2009 Aug;12(8):1106-14
pubmed: 19243675
Public Health Nutr. 2010 Feb;13(2):238-44
pubmed: 19650962
Am J Clin Nutr. 2017 Apr;105(4):854-863
pubmed: 28275129
Nutrients. 2016 Oct 14;8(10):
pubmed: 27754404
Cochrane Database Syst Rev. 2018 May 17;5:CD008552
pubmed: 29770960
Health Educ Res. 2010 Dec;25(6):1042-9
pubmed: 20884847
BMC Med Res Methodol. 2015 Jul 31;15:58
pubmed: 26227148
Child Obes. 2015 Aug;11(4):338-46
pubmed: 26258560
J Clin Epidemiol. 2018 Jan;93:36-44
pubmed: 29051107
J Sch Health. 1998 Aug;68(6):248-53
pubmed: 9719999
Obes Rev. 2016 Jan;17(1):56-67
pubmed: 26440472
Am J Clin Nutr. 2013 Oct;98(4):1084-102
pubmed: 23966427
PLoS One. 2013 Oct 03;8(10):e76654
pubmed: 24098547
BMJ. 2003 Sep 6;327(7414):557-60
pubmed: 12958120

Auteurs

Edris Nury (E)

Institute for Evidence in Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany. nury@ifem.uni-freiburg.de.

Jakub Morze (J)

Department of Cardiology and Internal Diseases, University of Warmia and Mazury, Olsztyn, Poland.
Department of Human Nutrition, University of Warmia and Mazury, Olsztyn, Poland.

Kathrin Grummich (K)

Institute for Evidence in Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Cochrane Germany Foundation, Cochrane Germany, Freiburg, Germany.
Institute of Medical Biometry and Statistics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Gerta Rücker (G)

Institute of Medical Biometry and Statistics, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Georg Hoffmann (G)

Department of Nutritional Sciences, University of Vienna, Vienna, Austria.

Claudia M Angele (CM)

Department of Nutritional Sciences, University of Vienna, Vienna, Austria.
Centre for Teacher Education, University of Vienna, Vienna, Austria.

Jürgen M Steinacker (JM)

Division of Sports and Rehabilitation Medicine, Ulm University Hospital, Ulm, Germany.

Johanna Conrad (J)

Science Department, German Nutrition Society, Bonn, Germany.

Daniela Schmid (D)

Division for Quantitative Methods in Public Health and Health Services Research, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT - Private University for Health Sciences, Medical Informatics and Technology, Hall in Tyrol, Austria.

Jörg J Meerpohl (JJ)

Institute for Evidence in Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Cochrane Germany Foundation, Cochrane Germany, Freiburg, Germany.

Lukas Schwingshackl (L)

Institute for Evidence in Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH