Literature DB >> 33954266

Neck circumference in Latin America and the Caribbean: A systematic review and meta-analysis.

Patricia A Espinoza López1, Kelly Jéssica Fernández Landeo1, Rodrigo Ricardo Pérez Silva Mercado1, Jesús José Quiñones Ardela1, Rodrigo M Carrillo-Larco2,3.   

Abstract

Background: High neck circumference (NC) is associated with high burden diseases in Latin American and the Caribbean (LAC). NC complements established anthropometric measurements for early identification of cardio-metabolic and other illnesses. However, evidence about NC has not been systematically studied in LAC. We aimed to estimate the mean NC and the prevalence of high NC in LAC.
Methods: We conducted a systematic review in MEDLINE, Embase, Global Health and LILACS. Search results were screened and studied by two reviewers independently. To assess risk of bias of individual studies, we used the Hoy et al. scale and the Newcastle-Ottawa scale. We conducted a random-effects meta-analysis.
Results: In total, 182 abstracts were screened, 96 manuscripts were reviewed and 85 studies (n= 51,978) were summarized. From all the summarized studies, 14 were conducted in a sample of the general population, 23 were conducted with captive populations and 49 studies were conducted with patients. The pooled mean NC in the general population was 35.69 cm (95% IC: 34.85cm-36.53cm; I²: 99.6%). In our patient populations, the pooled mean NC in the obesity group was 42.56cm (95% CI 41.70cm-43.42cm; I²: 92.40%). Across all studied populations, there were several definitions of high NC; thus, prevalence estimates were not comparable. The prevalence of high NC ranged between 37.00% and 57.69% in the general population. The methodology to measure NC was not consistently reported. Conclusions: Mean NC in LAC appears to be in the range of estimates from other world regions. Inconsistent methods and definitions hamper cross-country comparisons and time trend analyses. There is a need for consistent and comparable definitions of NC so that it can be incorporated as a standard anthropometric indicator in surveys and epidemiological studies. Copyright:
© 2021 Espinoza López PA et al.

Entities:  

Keywords:  Anthropometrics; cardio-metabolic risk factor; obesity

Year:  2021        PMID: 33954266      PMCID: PMC8080980          DOI: 10.12688/wellcomeopenres.16560.1

Source DB:  PubMed          Journal:  Wellcome Open Res        ISSN: 2398-502X


Abbreviations

Body Mass Index: BMI, Latin American and the Caribbean: LAC, Neck Circumference: NC, Obstructive Sleep Apnea - Hypopnea Syndrome: OSAHS, Waist Circumference: WC

Introduction

Anthropometric indicators have an important role in public health because they are risk factors or diagnostic criteria for some highly prevalent non-communicable diseases (e.g., cancers and cardio-metabolic diseases) [1– 4]. Weight, height, body mass index (BMI) and waist circumference (WC) have been broadly studied in terms of prevalence and time trends [4, 5], and their long-term association with health outcomes has been studied by large cohorts in many world regions [2, 3]. This evidence for neck circumference (NC) lacks globally and in Latin American and the Caribbean (LAC), where novel and inexpensive anthropometric indicators could contribute to the prevention and early identification of non-communicable diseases [6– 8]. Unlike BMI, there have been no efforts to summarize mean NC and prevalence estimates of high NC in LAC. This evidence could provide a baseline parameter of this anthropometric indicator to inform future research and surveillance plans, while also characterizing population groups in terms of their NC profile. In addition, a critical appraisal of the available evidence about NC in LAC lacks, thus research gaps, needs and methodological issues have not been identified to improve the formulation of future research. With evidence that NC appears to be a risk factor for many diseases (e.g. cardio-metabolic diseases and obstructive sleep apnea), in a similar magnitude as other anthropometric indicators [7– 10], it becomes relevant to understand the current status of NC so that it could be incorporated in population-based surveys or epidemiological studies. To summarize the evidence about NC in LAC, to provide pooled estimates of mean levels and prevalences, and to highlight research needs and methodological caveats, we conducted a systematic review and meta-analysis of the scientific evidence about NC in LAC populations.

Methods

Protocol and registration

This is a systematic review of the scientific literature with meta-analysis of summary data. The methodology and reporting followed the PRISMA guideline (see reporting guidelines) [11]. The protocol was prepared before conducting the review and is available online [12].

Eligibility criteria

This review included original studies with the following populations: LAC adults either from the general population, captive/closed populations (e.g., workers) or patients from any healthcare facility. We excluded patients who had conditions that could have biased the NC measurement (e.g., cervical masses, thyroid diseases, cervical fractures or congenital anomalies). We excluded studies with LAC immigrants in countries outside the LAC region. Studies should have reported that NC was measured, regardless of the methodology; in other words, if NC was not directly measured (i.e., NC was self-reported), this study was excluded. We excluded case reports, case series, letters, editorials, narrative reviews, clinical trials and systematic reviews.

Information sources and search

We conducted the search in MEDLINE, Embase and Global Health, these three were searched through OVID; we also searched LILACS, a LAC specific search engine. The search was conducted on 27 September 2020. The complete search strategy is available as extended data [13].

Study selection

First, two authors (KFL, RPSM / PEL, JQA) independently screened the titles and abstracts of the search results. Second, the same reviewers independently studied the full text of the selected articles. Likewise, the full text of the selected articles was analyzed to ensure that multiple publications of the same study were included once only (e.g., national survey with multiple publications). Discrepancies between reviewers were resolved by consensus between them or by discussions with a third reviewer (RMC-L). If the information reported in the original article was not enough to assess the eligibility criteria, we tried to contact the corresponding author of these studies. Those articles which corresponding authors did not answer to our communications after two weeks were excluded from this review.

Data collection process

Two authors (KFL, RPSM / PEL, JQA) independently extracted the information from the included articles using a standard form for each of the population groups herein studied (general population, captive population and patients). Any differences between the two reviewers were resolved by consensus between them or by discussions with a third reviewer (RMC-L). The extraction form we used was developed before data collection and was not modified during the extraction process.

Data items

The following information was extracted from all articles: title, first author, country, publication year, year of data collection, study design, sample size, mean age and age range of the study population, men proportion, instrument and method to measure NC, cut-off point of high NC overall and by gender, prevalence of high NC overall and by gender, and mean NC overall and by gender. From articles with a sample of the general population, we also extracted information on whether it was a national sample. From articles with a captive population, we also extracted the origin of the population (e.g., students or elderly in nursing homes). From articles with patients we recorded the underlying disease. Additionally, the following information was extracted from the case-control studies: proportion of cases and controls, mean NC for cases and controls, and prevalence of high NC for cases and controls.

Risk of bias of individual studies

Two authors (KFL, RPSM / PEL, JQA) independently assessed the risk of bias of the articles using the risk of bias tool for prevalence studies by Hoy et al. [14]; we used the Newcastle-Ottawa scale for the case-control and cohort studies [15]. Discrepancies between the two reviewers were solved by discussion with a third reviewer (RMC-L). Items that did not apply (e.g., acceptable case definition for prevalence studies) to our selected reports were not assessed.

Synthesis of results

We conducted a quantitative synthesis (meta-analysis) of mean NC only, because evidence from prevalence estimates was largely heterogeneous (e.g., different definitions) and scarcer than for mean estimates. We decided to conduct the meta-analysis when there were at least three individual estimates [12]. We only conducted the meta-analysis for overall mean estimates (i.e., not sex-stratified). Using the mean estimates along with the corresponding standard errors computed from the confident intervals [standard error = (upper limit - lower limit)/3.92], we conducted a random-effects meta-analysis in STATA v16.1 (College Station, Texas 77845 USA); we used the metan function with the randomi option for a random-effects model following the DerSimonian & Laird method.

Ethics

This is a systematic review of the scientific literature in which human subjects were not directly studied. We did not request approval by an Ethics Committee. All authors had access to the collated data and are collectively responsible for the accuracy of results and conclusions. All authors approved the submitted version. The funder had no role in the study design, analyses, interpretation or conclusions.

Results

The article search yielded 323 results; of these, 182 titles and abstracts were screened and then, 96 manuscripts were studied. We finally included 85 (n=51,978) studies ( Figure 1) [16– 100].
Figure 1.

Selection flow chart.

Neck circumference in the general population

Of the total selected articles, 14 studies [16– 29] were conducted in a sample of the general population (one study also contributed to the captive population group [29]). The 14 studies followed a cross-sectional design. Most of them were from Brazil (10) [16– 18, 20– 24, 26, 28] while the rest were from Argentina [25], Chile [29], Colombia [27] and Venezuela [19]. The age of the study population was ≥18 years old, except in one study which was ≥15 years [29]. The total sample was 24,401, with a mean age of 39.73 years. The instrument or methodology to measure NC was detailed in 11 studies ( Table 1) [17– 19, 21– 27, 29].
Table 1.

Synthesis of population-based studies.

Study InformationNeck Circumference (cm)Contribution to Meta- analysis
First AuthorCountryData YearStudy DesignSampleMean AgeAge RangeMen ProportionInstrumentMeasured HowCut Point for Men (cm)Cut Point for Women (cm)Mean OverallMean MenMean WomenPrevalence Elevated OverallPrevalence Elevated MenPrevalence Elevated Women
Moraes, W. et al. [16] BrazilCross - sectional104242.2020 – 8044.9136.2039.4033.60Yes
Neves, T. et al. [17] Brazil2010Cross - sectional38771.0065 – 9336.43Measuring tapeThe mean height of the neck.35.4638.0034.00No
Ribeiro, L. et al. [18] Brazil2018Cross - sectional130≥1832.31Measuring tapeThe cricothyroid cartilage height level was used as a reference for the measurement. For men, the NC was measured just below the cartilage because of the greater prominence of this region.37.0034.0057.69No
Méndez- Pérez, B. et al. [19] Venezuela2015Cross - sectional113215 – 6548.76Measuring tape39.0035.0036.1738.1734.2746.7548.7044.80Yes
Leite, J. et al. [20] BrazilCross - sectional202740.9035.62Yes
Volaco, A. et al. [21] Brazil2014Cross - sectional95047.40≥1834.64Measuring tapeAt the middle high of the neck, bellow the laryngeal prominence (Adams’s apple), around the neck, parallel to the floor.39.5034.5035.5038.2034.10Yes
Stabe, C. et al. [22] Brazil2004Cross - sectional105339.4018 – 6028.58Measuring tapeBelow cricothyroid cartilage.40.0036.1036.9839.7035.90Yes
Zanuncio, V. et al. [23] Brazil2013Cross - sectional94838.3420 – 5944.94Measuring tapeBelow laryngeal prominence.39.5033.3035.5938.6333.11Yes
Chaves, T. et al. [24] Brazil2011Cross - sectional36543.9018 – 6543.83Measuring tape40.5034.2033.60Yes
Alfie, J. et al. [25] Argentina2008Cross - sectional398743.80≥1848.40Measuring tapeBase of the neck.41.0035.000.37No
Soares, M. et al. [26] BrazilCross - sectional99341.8020 – 8046.12At the level of the cricothyroid membrane.43.0038.0036.3339.4033.70Yes
Ruiz, A. et al. [27] Colombia2013Cross - sectional607440.10≥1846.20Measuring tapeAbove laryngeal prominence, perpendicular to the neck axis.43.1840.6435.9638.7834.87Yes
Polesel, D. et al. [28] BrazilCross - sectional40734.8020 – 800.0033.750.0033.30Yes
Mora, R. et al. [29] Chile2016Cross - sectional490631.50≥1540.00Measuring tapeAt the level of most prominence of the cricoid cartilage (Adam’s apple).41.0035.0036.9039.1034.70Yes
Mean NC was available from 12 articles (n=20,284) [16, 17, 19– 24, 26– 29], though the pooled mean NC was based on 11 estimates [16, 19– 24, 26– 29]: the overall pooled mean NC was 35.69cm (95% IC: 34.85cm-36.53cm; I²: 99.6%) ( Table 1). The minimum and maximum mean NC in men were 38.17cm and 39.70cm, respectively; while these numbers in women were 33.11cm and 35.90cm, respectively ( Table 1). The prevalence of high NC was available from 3 studies [18, 19, 25], all of which used different thresholds for men and women; for men, the cut-off points ranged between 37cm and 41cm, while for women the range was between 34cm and 35cm. Based on these definitions, the prevalence of high NC in the general population went from 37.00% to 57.69% ( Table 1). One study [19] reported the prevalence of high NC stratified by sex; for men, high NC was defined at >39cm while for women this cut-off point was >35cm, yielding a prevalence of 48.70% in men and 44.80% in women ( Table 1).

Neck circumference in captive populations

Of the total selected articles, 23 reports [30– 51] included captive populations and 1 [38] of these reports provided 2 estimates (i.e., two different populations). Studies followed a cross-sectional, case-control and cohort design. Most of the articles were from Brazil (19) [30– 35, 37– 45, 48– 51] while the others were from Chile (3) [29, 36, 46] and Peru (1) [47]. The instrument and methodology to measure NC was reported in 19 studies ( Table 2) [29, 31– 34, 36, 37, 39– 46, 48, 49– 51].
Table 2.

Synthesis of reports in selected populations.

Study InformationNeck Circunference (cm)
First AuthorCountryData YearStudy DesignPopulation TypeSampleMean AgeAge RangeMen ProportionInstrumentMeasured HowCut Point MenCut Point WomenMean OverallMean MenMean WomenPrevalence Elevated OverallPrevalence Elevated MenPrevalence Elevated Women
Tavares, C. et al.. [30] BrazilCross- sectionalHealthcare professionals15943.2021.3834.7439.3033.50
Dantas, E. et al. [31] BrazilCross- sectionalUniversity students40620.9533.25Measuring tapeAbove the thyroid cartilage prominence.39.6036.1033.6636.9532.02
De Siquiera, K. et al. [32] Brazil2011Cross- sectionalUniversity students69118 – 5837.80Measuring tapeBelow the superior border of the prominence of the larynx.39.0035.0037.10
De Alexandria, F. et al. [33] Brazil2011Cross- sectionalFemale nurse71.042.0018 – 690.00Measuring tapeMidpoint of the neck height.34.0033.0033.00
Alves, H. et al. [34] Brazil2010Cross- sectionalUniversity students70221.50≥1837.40Measuring tapeThe measuring tape was positioned just below the top edge of the laryngeal prominence.39.0035.0033.70
Santosa, D. et al. [35] Brazil2008Cross- sectionalProfessional urban bus drivers40438.20100.0039.10
Pedreros, A. et al. [36] ChileCross- sectionalMiners22138.00100.00Measuring tape38.0039.6039.60
Haueisen, M. et al. [37] Brazil2009Cross- sectionalActive or retired civil servants of universities or research institutions /Brazilian Longitudinal Study of Adult Health (ELSA–Brasil)1122151.5035 – 7448.50Measuring tapeRight above the cricoid cartilage and perpendicular to the long axis of the neck, with the participant in a sitting position.36.6239.5033.90
Genta, P. et al. [38] Brazil2004Case - ControlJapanese descendants in São Paulo, Brazil5453.30≥18100.0040.00
Genta, P. et al. [38] Brazil2004Case - ControlWhite males in São Paulo, Brazil46650.60≥18100.0042.00
Nogueira, M. et al. [39] Brazil2012Cross- sectionalElderly at a health center41170.0026.00Measuring tapeThe base of the neck, below the laryngeal prominence35.1139.7033.50
Barbosa, P. et al. [40] Brazil2015Cross- SectionalAdults attended at a health center12636.2018 – 5919.00Measuring tapeMidpoint of the cervical spine to the anterior half of the neck. In men with laryngeal prominence.34.00
Frizon, V. et al. [41] Brazil2013Cross-SectionalPatients waiting for medical, dental, psychological, or nutritional consultation15538.0019 – 6029.00Measuring tapeAt the base of the neck, at the height of the cricothyroid cartilage. In men with prominence, NC was measured below prominence.37.0034.0036.1040.1034.5054.8086.7041.80
Coelho, H. et al. [42] Brazil2015Cross- sectionalElderly at a health center43568.28≥1814.80Measuring tapeJust above the cricoid cartilage and perpendicular to the long axis of the neck40.535.736.9440.2036.3854.2550.7954.99
Da Silva, A. et al. [43] BrazilCross- SectionalGeneral outpatient nutrition clinic of a public university hospital specialized in cardiology12955.60≥3526.40Measuring tapelong the axis of the neck at the midpoint of the cervical spine to the midanterior of the neck.37.0034.0036.6040.3035.70
Closs, V. et al. [44] Brazil2012Cross- sectionalElderly at a health center58368.5060–10336.37Over laringeal prominence.36.8639.1935.53
Petreça, D. et al. [45] Brazil2016Cross- sectionalElderly at a health center17069.50≥600.00measuring tapeAbove thyroid cartilage.34.6034.60
Pizarro- Montaner, C. et al. [46] ChileCohortMiners11134.7025–44100.00Below laringeal prominence.37.0039.9539.95
Peralta, L. et al. [47] Peru2011Cross- sectionalMedical students4619.6018–2350.0035.4037.3033.50
Dos reis, E. et al. [48] BrazilCross- sectionalElderly caregivers3443.68≥18100.00measuring tape34.0035.8735.8762.0062.00
Ferreira, A. et al. [49] Brazil2016Cross- sectionalMura ethnia45542.1018–8142.20measuring tapeHorizontal plane of Frankfort.37.0034.0036.68
Ramires, A.R. et al. [50] Brazil2011Cross- sectionalSedentary women6033.90≥180.00measuring tapeBelow laryngeal prominence.35.0033.7855.00
Mora, R. et al. [29] Chile2016Cross- sectionalOutdoor Gym Users102331.50≥1570.97measuring tapeCricoid cartilage prominence.41.0035.0038.2239.3035.60
Sgariboldi, D. et al. [51] BrazilCross- sectionalSedentary women10044.5925–750.00measuring tapeCricotiroid cartilage level.35.8435.84
Of the 23 articles in this group, 22 articles (n=18,173) reported the mean NC. Additionally, 14 studies [29, 31– 36, 41– 43, 46, 48– 50] established different cut-off points for high NC for men and women, with a minimum and maximum value for men of 37cm and 42cm, respectively; while the values for women were 34 cm and 36.10 cm, respectively ( Table 2). From all the captive population articles, 4 of these included university students [31, 32, 34, 47] and also reported the mean NC ( Table 2). The minimum and maximum mean NC in this captive population were 33.66cm and 37.10cm, respectively; in men were 36.95cm and 37.30cm, respectively; and in women the minimum and maximum values were 32.02cm and 33.50cm, respectively ( Table 2). Of all the articles with captive populations, 4 of these included elderly people [39, 42, 44, 45] and also reported the mean NC. The minimum and maximum mean NC in this captive population were 34.60cm and 36.94cm, respectively; in men were 39.19cm and 40.20cm, respectively; and in women the minimum and maximum values were 33.50cm and 36.38cm, respectively ( Table 2). The prevalence of high NC was available from 3 studies [41, 42, 50], all of which used different thresholds for men and women; for men, the cut-off points ranged between 34cm and 40.5cm, while for women the range was between 34cm and 35.7cm ( Table 2). Based on these definitions, the prevalence of high NC in the overall sample of captive populations went from 54.25% to 62%; while for men and women it went from 50.79% to 86.70%, and from 41.80% to 54.99%, respectively ( Table 2).

Neck circumference in patients

Of the total selected studies, 49 reports [52– 100] were conducted with patients. Studies followed a cross-sectional, case-control and cohort design. Most of the articles were from Brazil (35) [52– 57, 60, 61, 63– 65, 70, 71, 73– 86, 88, 91– 93, 95– 97, 99] while the others were from Chile (5) [58, 68, 87, 89, 94], Mexico (4) [66, 67, 90, 100], Peru (3) [62, 69, 72] and Argentina (2) [59, 98]. The most frequently studied patients were those with Obstructive Sleep Apnea - Hypopnea Syndrome (OSAHS) (22) [53, 54, 58– 62, 64– 69, 74, 75, 79, 81, 86, 87, 90, 94, 97, 98] and obesity (13) [52, 71, 73, 80, 82– 85, 91, 92, 95, 99, 100]; other diseases included HIV/AIDS, sleep disorders, bronchiectasis, depression, stroke, epilepsy, hepatic and cardiovascular pathologies. The instrument or methodology to measure NC was reported in 29 studies [54– 57, 60, 63, 65– 67, 69– 71, 73, 77, 80– 82, 84, 86, 88– 93, 95, 97, 99, 100]. We found 1 report [53], which contributed with 2 estimates (e.g., one report provided more than one set of estimates). Of the 49 studies in this group, 44 studies (n=8,059) [52– 57, 59– 61, 63, 65, 66, 68– 73, 75– 100] reported the mean NC. The overall pooled mean NC in patients with OSAHS (19 estimates; n=4,141) [53, 54, 58, 60, 61, 65, 68, 69, 75, 79, 81, 86, 87, 90, 97, 98] was 41.09cm (95% CI 40.42cm-41.77cm; I²: 94.80%), and for those with obesity (13 estimates; n=1,952) [52, 71, 73, 80, 82– 85, 91, 92, 95, 99, 100] the overall pooled mean NC was 42.56cm (95% CI 41.70cm-43.42cm; I²: 92.40%) ( Table 3). In studies that included patients with OSAHS, the minimum and maximum mean NC were 37.40cm and 44.50cm, respectively ( Table 3). Studies with obese patients, the minimum and maximum mean NC were 37.01cm and 44.41cm, respectively ( Table 3).
Table 3.

Synthesis of hospital-based studies.

Study InformationNeck Circunference (cm)
First AuthorCountryStudy DesignDiseaseSampleMean AgeMen ProportionCase ProportionInstrumentMeasured HowCut Point (cm)Cut Point for Men (cm)Cut Point Women (cm)Mean OverallMean MenMean WomenMean CasesMean ControlsPrevalence Elevated OverallPrevalence Elevated MenPrevalence Elevated WomenPrevalence Elevated CasesPrevalence Elevated Controls
De Paiva, R, et al. [52] BrazilCase - ControlObesity4546.5031.1068.9043.4044.6039.50
Zonato, A, et al. [53] BrazilCross - sectionalOSAHS / Public Clinic30750.0067.0033.0041.0041.00
Zonato, A, et al. [53] BrazilCross - sectionalOSAHS / Private Clinic31748.0087.0013.0043.0043.00
Sutherland, K, et al. [54] BrazilCross - sectionalOSAHS13748.1069.5030.50Measuring tapeBelow the laryngeal prominence with tape measure perpendicular to the long axis of the neck.41.8041.80
Pinto, J, et al. [55] BrazilCross - sectionalSleep disorders8243.7680.5019.50Along a horizontal line across the midline of the thyroid cartilage.39.87
Oliveira, N, et al. [56] BrazilCross - sectionalHIV/AIDS3543.9051.4048.60Measuring tape37.0034.0035.2036.9033.40
Musman, S, et al. [57] BrazilCross - sectionalSleep disorders32344.6059.1340.87Measuring tapeThe level of the cricoarytenoid joint.40.0042.0037.0042.0038.00
Salas, C, et al. [58] ChileCross - sectionalOSAHS104453.2076.0024.0042.1038.30
Saban, M, et al. [59] ArgentinaCross - sectionalOSAHS30256.0055.9644.0441.0042.0037.00
Moura, P, et al. [60] BrazilCohortOSAHS10246.7555.9044.10At the level of the cricothyroid membrane.38.4740.8635.4438.47
Souza, F, et al. [61] BrazilCross - sectionalOSAHS1048.9040.0060.0040.3540.35
De Castro, J, et al. [62] PeruCase - ControlOSAHS9548.9043.32
Boemeke, L, et al. [63] BrazilCross - SectionalNon-alcoholic fatty liver disease 8241.7033.0067.00Measuring tapeBelow the prominence of the larynx and perpendicular to the long axis of the neck, with the tape positioned at the same height at the front and at the back of the neck. The individual was asked to remain in an upright position, with proper posture and looking forward.42.0036.0041.7046.5039.4086.60
Hiray, M, et al. [64] BrazilCross - SectionalOSAHS4834.0079.2020.8040.0042.0038.00100.0064.10
Borges, P, et al. [65] BrazilCross - SectionalOSAHS9346.7058.1041.90At the level of the cricothyroid cartilage.38.5640.9135.3138.56
Saldaña,R, et al. [66] MexicoCross - SectionalOSAHS1044.9060.0040.00At the level of the cricothyroid membrane.41.80
Castorena- Maldonado, A, et al. [67] MexicoCase - ControlOSAHS6135.5062.3037.70Measuring tapeAt the level of the cricothyroid membrane.39.8034.50
Jorquera, A, et al. [68] ChileCross - SectionalOSAHS45752.2780.0020.0039.2039.20
De Castro, J, et al. [69] PeruCohortOSAHS40849.4091.009.00Technique proposed by Lohman.41.5541.55
Rodrigues, A, et al. [70] BrazilCross - sectionalDepression79XXX24.1075.90Measuring tapeThe participant standing upright and the measurement was taken at mid-neck height.37.0034.0033.4130.40
Aguiar, I, et al. [71] BrazilCross- SectionalObesity3842.0013.1686.84Horizontally at the level of the cricoid cartilage.43.0041.0042.6044.4842.3242.60
Chávez- Gonzáles, C, et al. [72] PeruCross - SectionalSnore23049.7656.5043.5040.60
De Menezes, R, et al. [73] BrazilCross - SectionalObesity108938.1028.3071.70At the level of the cricoid membrane with the patients in the supine position.42.0042.3047.5040.3042.30
Cunha, F, et al. [74] BrazilCase - Control OSAHS3733.9441.9035.50
Prescinotto, R, et al. [75] BrazilCohortOSAHS2848.8032.1067.9038.3038.30
Faria, J, et al. [76] BrazilCross - sectionalBronchiectasis2151.6042.9057.1038.81
Schommer, V, et al. [77] BrazilCross - sectionalHeart failure12361.9060.2039.80Measuring tapeMidpoint of the neck.37.86
Amaro, T, et al. [78] BrazilCross - sectionalAcute myocardial infarction346158.841.2373437.575.2095.0050.00
Nerbass, F, et al. [79] BrazilCross - sectionalOSAHS90465149434137.43936.4
Lucas, E, et al. [80] BrazilCross - sectionalObesity14740.7134.6965.31Measuring tapeIndividuals seated on a chair, the head in a neutral position, looking straight ahead. Around the neck, Over thyroid cartilage.423641.345.439.144.934.2
Freire, L, et al. [81] BrazilCross - sectionalOSAHS5057.524258Measuring tapeParticipants stood up straight, with their heads positioned in the horizontal plane of Frankfort. Below the laryngeal prominence and applied perpendicularly along the neck axis.39.1439.3835.33
Sgariboldi, D, et al. [82] BrazilCross - sectionalObesity15644.460100Measuring tapeCricoid cartilage.37.0137.0141.2532.55
Martinho, F, et al. [83] BrazilCross - sectionalObesity4546.531.1168.8843.443.4639.5
Correa, M, et al. [84] BrazilCross - sectionalObesity814227.1662.84Measuring tapeCricoid cartilage.38.838.838
Magalhaes, E, et al. [85] BrazilCase - ControlObesity8849.221.678.438.540.736.4
Menezes, D, et al. [86] BrazilCross - sectionalOSAHS45643.763.836.2Measuring tapeCricothyroid membrane.4040.841.638.151.8
Saldias, P, et al. [87] ChileCase - ControlOSAHS32852821841434042.724441.357.92
Mendes, C, et al. [88] BrazilCohortStroke8964.396436Below larynx.433840.3340.3340.0539.3234.265.8
Miño, F, et al. [89] ChileCross - sectionalCardiovascular disease1125534.5165.49Measuring tape39.3137.438.93
Garcia, J, et al. [90] MexicoCohortOSAHS14647.667.132.9Cricothyroid membrane.4041.0441.0461.64
Lima, J, et al. [91] BrazilCohortObesity4242.540.559.5Cricoid cartilage.42.247.240.542.2
Padilha, L, et al. [92] BrazilCross - sectionalObesity2048.540100Landmarks.41.7741.7741.77
Bruch, J, et al. [93] BrazilCross - sectionalChronic Hepatitis C5851.644.855.2Measuring tapeBy the smallest circumference just above the laryngeal prominence with patient sitting down or standing up, with the spine erect and the head in the Frankfurt horizontal plane.373437.334.64037.3
Saldias, F, et al. [94] ChileCross - sectionalOSAHS146454.465.2334.774041.643.238.241.679.626.6
Oliveira, D, et al. [95] BrazilCross - sectionalObesity60362575Measuring tapeLaryngeal prominence.44.144.1
Venturi, M, et al. [96] BrazilCross - sectionalEpilepsy9839.9760.239.8393534.0633.7134.4134.06
Barbosa, L, et al. [97] BrazilCross - sectionalOSAHS1446.814.385.7Measuring tapeLaryngeal prominence.434141.341.3
Gallego, C, et al. [98] ArgentinaCross - sectionalOSAHS226186.3713.6344.544.5
Serafim, P, et al. [99] BrazilCross - sectionalObesity120XXX2476Measuring tape44.2951.54244.29
Oriol, S, et al. [100] MexicoCross - sectionalObesity21XXX28.5871.42At the level of thyroid cartilage.44.4147.743.144.41
Additionally, 12 studies [53, 63, 70, 71, 78– 80, 87, 88, 93, 96, 97] established different cut-off points for elevated NC for men and women, with a minimum and maximum value for men of 37cm and 43cm, respectively; while the values for women were 34cm and 41cm, respectively. The prevalence of high NC was available from 7 studies [63, 70, 78, 86– 88, 90], all of which used different thresholds for all, men and women. Overall, the cut-off points for high NC ranged between 40 cm and 42 cm; for men, the cut-off points ranged between 37 cm and 43 cm, while for women the range was between 34 cm and 41 cm ( Table 3). Based on these definitions, the prevalence of high NC in the general sample of patient population went from 30.4% to 86.6%; while for men and women it went from 34,2% to 95%, and from 26.6% to 65.8%, respectively ( Table 3). From all the cross-sectional studies, only 4 studies [19, 22, 25, 29] are considered as a close representation of the general population. Finally, analyzing the risk of bias of the prevalence studies included, the majority represent a moderate risk [17, 24, 29– 31, 33, 35– 43, 45, 47, 48, 50– 51, 53– 66, 68, 70– 73, 76– 84, 86, 89, 92– 100] (57); some are low risk [16, 18– 23, 25– 29, 32, 34, 44, 49] (16); no study represents a high risk ( Table 4 – Table 6).
Table 4.

Summary table about risk of bias for cross- sectional studies.

Risk of Bias – Prevalence Stuides
First AuthorExternal ValidityInternal Validity11. Summary
1. A close representation2. True or close representation3. Random selection4. Non- response bias minimal5. Directly from the subjects6. Acceptable case definition7. Measured was reliability and validity8. Same mode of data collection9. Length of the shortest prevalence period10. Numerator(s) and denominator(s) appropate
Moraes, W. et al. [16] NOYESYESYESYESNAUNCLEARYESYESYESLOW
Neves, T. et al. [17] NOUNCLEARUNCLEARNOYESNAYESYESYESYESMODERATE
Ribeiro, L. et al. [18] NOYESYESYESYESNAYESYESYESYESLOW
Méndez, B. et al. [19] YESYESYESYESYESNAUNCLEARYESYESYESLOW
Leite, J. et al. [20] NOYESYESYESYESNAUNCLEARYESYESYESLOW
Tavares, C. et al. [30] NOUNCLEARUNCLEARYESYESNAUNCLEARYESYESYESMODERATE
Dantas, E. et al. [31] NONONOYESYESNAYESYESYESYESMODERATE
De Siqueira, K. et al. [32] NOYESYESYESYESNAYESYESYESYESLOW
De Alexandria, F. et al. [33] NONONONOYESNAYESYESYESYESMODERATE
Alves, H. et al. [34] NOYESYESYESYESNAYESYESYESYESLOW
Santos, D. et al. [35] NOUNCLEARUNCLEARYESYESNAUNCLEARYESYESYESMODERATE
Pedreros, A. et al. [36] NOUNCLEARUNCLEARYESYESNAUNCLEARYESYESYESMODERATE
Haueisen, M. et al. [37] NOUNCLEARUNCLEARNOYESNAYESYESYESYESMODERATE
Nogueira, M. et al. [39] NOUNCLEARUNCLEARYESYESNAYESYESYESYESMODERATE
Barbosa, P. et al. [40] NOUNCLEARUNCLEARYESYESNAYESYESYESYESMODERATE
Frizon, V. et al. [41] NOUNCLEARUNCLEARYESYESNAYESYESYESYESMODERATE
Coelho, H. et al. [42] NONONONOYESNAYESYESYESYESMODERATE
Da Silva, A. et al. [43] NOUNCLEARUNCLEARYESYESNAYESYESYESYESMODERATE
Zonato, A. et al. [53] NOUNCLEARUNCLEARYESYESNAUNCLEARYESYESYESMODERATE
Sutherland, K. et al. [54] NOUNCLEARUNCLEARYESYESNAYESYESYESYESMODERATE
Pinto, J. et al. [55] NOUNCLEARUNCLEARNOYESNAUNCLEARYESYESYESMODERATE
Oliveira, N. et al. [56] NONONOYESYESNAUNCLEARYESYESYESMODERATE
Musman, S. et al. [57] NOUNCLEARUNCLEARYESYESNAYESYESYESYESMODERATE
Salas, C. et al. [58] INOUNCLEARUNCLEARYESYESNAUNCLEARYESYESYESMODERATE
Saban, M. et al. [59] NOUNCLEARUNCLEARNOYESNAUNCLEARYESYESYESMODERATE
Souza, F. et al. [60] NOUNCLEARUNCLEARYESYESNAUNCLEARYESYESYESMODERATE
Boemeke, L. et al. [63] NOUNCLEARUNCLEARYESYESNAYESYESYESYESMODERATE
Hiray, M. et al. [64] NOUNCLEARUNCLEARYESYESNAUNCLEARYESYESYESMODERATE
Borges, P. et al. [65] NOUNCLEARUNCLEARYESYESNAUNCLEARYESYESYESMODERATE
Saldaña, R. et al. [66] NOUNCLEARUNCLEARYESYESNAUNCLEARYESYESYESMODERATE
Jorquera, A. et al. [68] NOUNCLEARUNCLEARYESYESNAUNCLEARYESYESYESMODERATE
Rodrigues, A. et al. [70] NONONOYESYESNAYESYESYESYESMODERATE
Aguiar, I. et al. [71] NOUNCLEARUNCLEARYESYESNAUNCLEARYESYESYESMODERATE
Saldías, P. et al. [87] NOUNCLEARUNCLEARYESYESNAUNCLEARYESYESYESMODERATE
Chávez, C. et al. [72] NOUNCLEARUNCLEARYESYESNAUNCLEARYESYESYESMODERATE
De Menezes, R. et al. [73] NOUNCLEARUNCLEARNOYESNAUNCLEARYESYESYESMODERATE
Faria, N. et al. [76] NOUNCLEARUNCLEARYESYESNAUNCLEARYESYESYESMODERATE
Schommer, V. et al. [77] NOUNCLEARUNCLEARYESYESNAYESYESYESYESMODERATE
Amaro, T. et al. [78] NOUNCLEARUNCLEARYESYESNAUNCLEARYESYESYESMODERATE
Volaco, A. et al. [21] NONOYESYESYESNAYESYESYESYESLOW
Stabe, C. et al. [22] YESYESNONOYESNAYESYESYESYESLOW
Zanuncio, V. et al. [23] NONOYESYESYESNAYESYESYESYESLOW
Chaves, T. et al. [24] NONOYESNOYESNANOYESYESYESMODERATE
Alfie, J. et al. [25] YESYESYESYESYESNAYESYESYESYESLOW
Soares, M. et al. [26] NOYESYESYESYESNANOYESYESYESLOW
Ruiz, A. et al. [27] NOYESYESYESYESNAYESYESYESYESLOW
Polesel, D. et al. [28] NOYESYESYESYESNANOYESYESYESLOW
Mora, R. et al. [29] YESYESYESYESYESNAYESYESYESYESLOW
Closs, V. et al. [44] NOYESUNCLEARYESYESNANOYESYESYESLOW
Petreça, D. et al. [45] NONONONOYESNAYESYESYESYESMODERATE
Peralta, C. et al. [47] NOYESUNCLEARNOYESNANOYESYESYESMODERATE
Dos reis, E. et al. [48] NOYESUNCLEARNOYESNANOYESYESYESMODERATE
Ferreira, A. et al. [49] NOYESYESYESYESNAYESYESYESYESLOW
Ramires, A. et al. [45] NOUNCLEARUNCLEARYESYESNAYESYESYESYESMODERATE
Mora, R. et al. [29] NOUNCLEARUNCLEARYESYESNAYESYESYESYESMODERATE
Sgariboldi, D. et al. [51] NOUNCLEARUNCLEARYESYESNAYESYESYESYESMODERATE
Nerbass, F. et al. [79] NOUNCLEARUNCLEARYESYESNANOYESYESYESMODERATE
Lucas, E. et al. [80] NOUNCLEARUNCLEARYESYESNAYESYESYESYESMODERATE
Freire, L. et al. [81] NOUNCLEARUNCLEARYESYESNANOYESYESYESMODERATE
Sgariboldi, D. et al. [82] NOUNCLEARUNCLEARYESYESNAYESYESYESYESMODERATE
Martinho, F. et al. [83] NOUNCLEARUNCLEARNOYESNANOYESYESYESMODERATE
Correa, M, et al. [84] NOUNCLEARUNCLEARYESYESNAYESYESYESYESMODERATE
Menezes, D, et al. [86] NOUNCLEARUNCLEARYESYESNAYESYESYESYESMODERATE
Miño, F, et al. [89] NOUNCLEARUNCLEARYESYESNANOYESYESYESMODERATE
Padilha, L, et al. [92] NOUNCLEARUNCLEARYESYESNANOYESYESYESMODERATE
Bruch, J, et al. [93] NOUNCLEARUNCLEARYESYESNAYESYESYESYESMODERATE
Saldias, F, et al. [94] NOUNCLEARUNCLEARYESYESNANOYESYESYESMODERATE
Oliveira, D, et al. [95] NOUNCLEARUNCLEARYESYESNAYESYESYESYESMODERATE
Venturi, M, et al. [96] NOUNCLEARYESYESYESNANOYESYESYESMODERATE
Barbosa, L, et al. [97] NOUNCLEARUNCLEARYESYESNAYESYESYESYESMODERATE
Gallego, C, et al. [98] NOUNCLEARUNCLEARYESYESNANOYESYESYESMODERATE
Serafim, P, et al. [99] NOUNCLEARUNCLEARNOYESNANOYESYESYESMODERATE
Oriol, S, et al. [100] NOUNCLEARUNCLEARYESYESNANOYESYESYESMODERATE
Table 6.

Summary table about risk of bias for cohort studies.

Risk of Bias – Cohort Studies
First AuthorSelectionComparabilityExposure
1. Representativeness of the exposed cohort2. Selection of the non- exposed cohort3. Ascertainment of exposure4. Demonstration that outcome of interest was not present at start of study5. Assessment of outcome6. Was follow- up long enough for outcomes to occur7. Adequacy of follow up of cohorts
Moura, P, et al. [60] BCAANANABA
De Castro, J, et al. [69] BAABNANAUNCLEARA
Prescinotto, R, et al. [75] BAAANANABA
Pizarro-Montaner, C. et al. [46] CAABNAUnclearAA
Mendes, C, et al. [88] CAAANAUnclearAA
Garcia, J, et al. [90] CAABNAUnclearAA
Lima, J, et al. [91] CAAANAUnclearAA
Regarding the risk of bias of the case-control studies, in all the studies (7) [38, 52, 62, 67, 74, 85, 87] the sample selection adequately represented the corresponding cases. In addition, concerning the risk of bias of the cohort studies (7) [46, 60, 69, 75, 88, 90, 91], all the studies had an adequate follow-up of the cohorts ( Table 4 – Table 6).

Discussion

Summary of evidence

This is a systematic review and meta-analysis to estimate the mean NC and the prevalence of high NC in adults from LAC. We summarized evidence from 14 studies in the general population; 23 from captive populations (e.g., students); and 49 studies with patients (mostly OSAHS and obesity). The mean NC in the general population ranged between 33.60cm and 36.98cm [22, 24], and the prevalence of elevated NC ranged between 37.00% and 57.69% [18, 25]. The average NC in captive populations went from 33.00cm to 42.00cm [33, 38], and the prevalence of elevated NC varied between 54.25% and 62.00% [42, 48]. In the patients-based studies, the minimum mean NC was 33.41cm whilst the maximum was 44.50cm [70, 98]; the prevalence of high NC ranged between 30.40% and 86.60% [63, 70]. NC raises as a relevant anthropometric indicator which could complement information based on BMI and WC for the early identification of cardio-metabolic and other diseases in LAC. This systematic review provides the first regional overview of mean NC and prevalence of high NC in LAC.

Limitations of the reviewed reports

The main limitation we found in the original reports was the lack of details on how NC was measured; that is, they did not consistently report the instruments (e.g., inelastic tape) and how NC was assessed. The same problem was observed regarding the cut-off points to define high NC; that is, there were not consistent and comparable thresholds. These limitations have overall implications and for our review as well. First, the high heterogeneity in methods and definitions hampers comparisons across studies/countries; also, the heterogeneity makes it difficult to study time trends. Regarding our review, the inconsistent methods and lack of standard definitions could explain the large heterogeneity reported in the meta-analyses, and also prevented us from conducting more meta-analyses, for example of prevalence estimates. We argue that the dearth of homogenous reporting and methodology is due to the lack of international standardization in the measurement of NC, which could be explained by how novel this anthropometric indicator is. There is a need for an international standardized measurement of NC which would allow cross-country and time trends analyses. Another limitation of the reviewed studies was that only 4 [19, 22, 25, 29] were conducted with a nationally representative sample. Therefore, information on mean NC and prevalence of high NC at the national level is missing in most countries of LAC. NC is an inexpensive and non-invasive anthropometric indicator, as it is the case with BMI or WC. Once standard procedures to measure NC and standard thresholds to define high NC are defined, NC could be implemented in large national surveys (e.g., DHS or WHO STEPS) to expand the arsenal of anthropometric indicators strongly associated with morbidity and mortality of cardio-metabolic diseases [7– 10].

Limitations of the review

Our review has some limitations. First, although we used major global search engines (MEDLINE, EMBASE and Global Health), and one specific for LAC (LILACS), we did not search grey literature sources. These sources could have contributed few more results to our review; however, we doubt they would have substantially changed the conclusions. Most likely, they would have exhibited the same -or more severe- limitations as those herein pinpointed. Second, some studies did not report all the information. Even though we tried to contact the authors of the reports with missing information, 6/16 answered to our requests. As NC becomes a more popular anthropometric indicator, and standard methods and definitions are established by international or regional organizations, we believe that studies including NC information would provide more comprehensive methods and results. Hopefully, our work would spark interest in NC and about the relevance to have standard procedures, as there are with BMI and other anthropometric indicators. Third, our review could not find estimates for all countries in LAC, and neither did other multi-country endeavors (e.g., ELANS) [101]. Therefore, we cannot conclusively state that our estimates represent the scenario across the region. Nonetheless, our work adds to the regional literature with a summary from captive populations and patients-based studies; also, we provide a risk of bias assessment and discuss the limitations of original reports and propose recommendations.

Results in context

NC has been associated with several cardiometabolic risk factors: insulin resistance, elevated cholesterol, triglycerides, LDL-cholesterol and obesity [102, 103]. Moreover, NC has also been associated with SAHOS [104]. Nevertheless, and despite that NC appears to be as good (or even better) as other anthropometric indicators (e.g., BMI), NC has not been subject to extensive research. In this work we propose the first systematic review and meta-analysis to reveal the overall mean NC in LAC, and to highlight research needs. Our work is the starting point to raise awareness about NC as a potential anthropometric indicator, while signaling the need for NC cut-off points in LAC. A multinational study (ELANS conducted in 2014–2015) [101] was conducted in eight LAC countries and they found a mean NC of 35.60cm, which is virtually the same as our pooled mean estimate. This similarity could be explained by the fact that we covered the same countries. Notably, the ELANS study included populations in more countries than those herein summarized, yet we included older and more recent studies, and we also summarized evidence from a larger sample. Overall, mean NC in LAC appears to be ~35cm, though this deserves further verification following consistent methods and including countries for which evidence is still unavailable. Studies in Asia reported a mean NC between 31cm and 44cm [102, 103]. Our pooled estimates fall within this range. As it is the case with other anthropometric indicators (e.g., BMI), LAC is usually in the middle of the distribution [105]. Reasons behind this could be diet and nutrition, phenotypes, opportunities to exercise, and access to preventive healthcare, all of which vary widely across countries and regions. As more evidence about NC in LAC becomes available, we would be in a stronger position to study determinants and outcomes for high NC to identify reasons for cross-country and cross-region comparisons. The mean NC and prevalence of high NC was larger in captive populations in comparison to the general population. This could be explained by the underlying profile of each captive group. For example, in bus drives, miners, sedentary women and adults - elderly waiting for medical attention, those variables were higher due to the fact that these people have a long working day which could condition a sedentary lifestyle. However, in other population groups (e.g., university students, health professionals, outdoor gym users) the mean NC and prevalence of high NC was lower than in the general population. This could be because these groups have healthier lifestyles and are more concerned about their health (due to their profession). We also found that the mean NC in the group of OSAH and obese is higher than the general population (41.09cm and 42.56cm vs 35.69cm). This is concordant with the studies that considered NC as an anthropometric measure useful for assessing the risk and severity of OSAH and also it is known for its strong relationship with obesity [106, 107]. A higher NC in this group of patients can be explained by the accumulation of fat around the neck contributing to the airway narrowing and at the same time facilitating its obstruction [108, 109]. NC could be incorporated as part of the standard of care for OSAH patients. Currently, there are no guides that include NC as an official anthropometric measure; however, there are studies that found NC as a reliable index and highlight the fact that it is an economical test easy to use which takes less time and correlates well with other anthropometric parameters such as BMI, WC and hip circumference [110, 111]. Our findings indicate that NC could be used either in clinical practice and epidemiologic studies.

Conclusions

In this systematic review and meta-analysis, the mean NC in LAC was 35cm in the general population; although there were different thresholds, the prevalence of high NC ranged between 37.00% and 57.69%. The methodology to measure NC was inconsistently reported and evidence lacks from several countries in LAC. Even though NC could be a novel anthropometric indicator closely related with different diseases and health outcomes, NC has been seriously understudied in LAC. This work highlights the current evidence about NC in LAC and pinpoints research gaps.

Data availability

Underlying data

All data underlying the results are available as part of the article and no additional source data are required.

Extended data

Figshare: Supplementary Material. https://doi.org/10.6084/m9.figshare.13550534 [13] This project contains the following extended data: Supplementary Material.docx (Document with study search strategy)

Reporting guidelines

Figshare: PRISMA checklist for ‘Neck circumference in Latin America and the Caribbean: A systematic review and meta-analysis’ https://doi.org/10.6084/m9.figshare.13550534 [13] This is an interesting article that reviews the little-used measurement of neck circumference and the advantages and limitations of this measure as reported in the literature. The review of the use in different studies is helpful and the authors suggest that it would be a convenient and useful addition to the arsenal of anthropometric measures currently in use. The review and suggestion for the use of measuring neck circumference is convincing as the neck is relatively accessible for measurement and this could be a useful addition in studies that require anthropometry. I recommend indexing. Are the rationale for, and objectives of, the Systematic Review clearly stated? Yes Is the statistical analysis and its interpretation appropriate? Yes Are sufficient details of the methods and analysis provided to allow replication by others? Yes Are the conclusions drawn adequately supported by the results presented in the review? Yes Reviewer Expertise: Population research which usually includes anthropometric assessment of candidates for randomized controlled studies I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. The increase in neck circumference, a measure of ectopic fat, is associated with higher cardiometabolic risk and obstructive sleep apnea beyond classical anthropometric measures of obesity. The authors performed a systematic review and meta-analysis to estimate the mean neck circumference and the prevalence of high neck circumference in Latin America and the Caribbean. I find the article correctly written and analyzed. Although the measurement of neck circumference differs between studies, the net impact of these differences is probably minimal compared to different definitions of abdominal obesity. This, added to the fact that to measure the circumference of the neck it is not necessary to ask the patient to get up from the chair or to remove their clothes, it represents advantages over other anthropometric measurements. The objective of the study was to establish mean values and the prevalence of high neck circumference in Latin America and the Caribbean. This was based on statistical definitions provided by the selected studies. Another approach to define normality and cutoff values could be based on the consequences of increased neck circumference on metabolism, blood pressure, and obstructive sleep apnea. Are the rationale for, and objectives of, the Systematic Review clearly stated? Yes Is the statistical analysis and its interpretation appropriate? Yes Are sufficient details of the methods and analysis provided to allow replication by others? Yes Are the conclusions drawn adequately supported by the results presented in the review? Yes Reviewer Expertise: My area of expertise is high blood pressure. I am the first author of one of the articles selected in the current metaanalysis (25). I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.
Table 5.

Summary table about risk of bias for case - control studies.

Risk of Bias – Case & Control Studies
First AuthorSelectionComparabilityExposure
1. Is the case definition adequate?2. Representativeness of the cases3. Selection of Controls4. Definition of Controls5. Ascertainment of exposure6. Same method of ascertainment for cases and controls7. Non- Response rate
Genta, P. et al. [38] BABBNANAAA
De Paiva, R, et al. [52] CABANANAAA
De Castro, J, et al. [62] AABBNANAAA
Castorena- Maldonado, A, et al. [67] AABANANAAA
Cunha, F, et al. [74] AABANANAAA
Magalhaes, E, et al. [85] AABANANAAA
Saldias, P, et al. [87] AACBNANAAA
  70 in total

1.  Association between body mass index and sleep duration assessed by objective methods in a representative sample of the adult population.

Authors:  W Moraes; D Poyares; I Zalcman; M T de Mello; L R Bittencourt; R Santos-Silva; S Tufik
Journal:  Sleep Med       Date:  2013-02-05       Impact factor: 3.492

Review 2.  The use and interpretation of anthropometric measures in cancer epidemiology: A perspective from the world cancer research fund international continuous update project.

Authors:  Elisa V Bandera; Stephanie H Fay; Edward Giovannucci; Michael F Leitzmann; Rachel Marklew; Anne McTiernan; Amy Mullee; Isabelle Romieu; Inger Thune; Ricardo Uauy; Martin J Wiseman
Journal:  Int J Cancer       Date:  2016-07-13       Impact factor: 7.396

3.  Interplay between rotational work shift and high altitude-related chronic intermittent hypobaric hypoxia on cardiovascular health and sleep quality in Chilean miners.

Authors:  Camila Pizarro-Montaner; Jorge Cancino-Lopez; Alvaro Reyes-Ponce; Marcelo Flores-Opazo
Journal:  Ergonomics       Date:  2020-06-11       Impact factor: 2.778

4.  [Predictive value of clinical features and nocturnal oximetry for the detection of obstructive sleep apnea syndrome].

Authors:  Fernando Saldías P; Jorge Jorquera A; Orlando Díaz P
Journal:  Rev Med Chil       Date:  2010-11-26       Impact factor: 0.553

5.  Systematic head and neck physical examination as a predictor of obstructive sleep apnea in class III obese patients.

Authors:  F L Martinho; R P Tangerina; S M G T Moura; L C Gregório; S Tufik; L R A Bittencourt
Journal:  Braz J Med Biol Res       Date:  2008-12       Impact factor: 2.590

6.  Obese with higher FNDC5/Irisin levels have a better metabolic profile, lower lipopolysaccharide levels and type 2 diabetes risk.

Authors:  Ivan Luiz Padilha Bonfante; Mara Patricia Traina Chacon-Mikahil; Diego Trevisan Brunelli; Arthur Fernandes Gáspari; Renata Garbellini Duft; Alexandre Gabarra Oliveira; Tiago Gomes Araujo; Mario Jose Abdalla Saad; Cláudia Regina Cavaglieri
Journal:  Arch Endocrinol Metab       Date:  2017-12       Impact factor: 2.309

7.  Neck Circumference and its Correlation to Other Anthropometric Parameters and Finnish Diabetes Risk Score (FINDRISC).

Authors:  Alexei Volaco; Clara Martinuze Martins; Jessica Queiroz Soares; Ana Maria Cavalcanti; Simone Tetu Moyses; Roberto Pecoits Filho; Cristina Pellegrino Baena; Dalton Bertolin Precoma
Journal:  Curr Diabetes Rev       Date:  2018

8.  Respiratory evaluation through volumetric capnography among grade III obese and eutrophic individuals: a comparative study.

Authors:  Débora Aparecida Oliveira Modena; Marcos Mello Moreira; Ilma Aparecida Paschoal; Mônica Corso Pereira; Luiz Cláudio Martins; Everton Cazzo; Elinton Adami Chaim
Journal:  Sao Paulo Med J       Date:  2018-01-15       Impact factor: 1.044

9.  Relationship between alcohol drinking and arterial hypertension in indigenous people of the Mura ethnics, Brazil.

Authors:  Alaidistania Aparecida Ferreira; Zilmar Augusto Souza-Filho; Maria Jacirema F Gonçalves; Juliano Santos; Angela Maria G Pierin
Journal:  PLoS One       Date:  2017-08-04       Impact factor: 3.240

10.  Factors predictive of obstructive sleep apnea in patients undergoing pre-operative evaluation for bariatric surgery and referred to a sleep laboratory for polysomnography.

Authors:  Ricardo Luiz de Menezes Duarte; Flavio José Magalhães-da-Silveira
Journal:  J Bras Pneumol       Date:  2015 Sep-Oct       Impact factor: 2.624

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.