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      Brazilian version of the Neck Bournemouth Questionnaire does not have a well-defined internal structure in patients with chronic neck pain

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          Abstract

          Objective:

          To investigate the structural validity of the Brazilian version of the Neck Bournemouth Questionnaire in patients with chronic neck pain.

          Design:

          Cross-sectional study.

          Setting:

          Community participants collected via online platform.

          Subjects:

          Participants with neck pain (minimal pain intensity of 3 points at rest on 11-point Numerical Rating Scale), both genders and aged ⩾18 years old.

          Main measure:

          The Numerical Rating Scale, Neck Disability Index, Pain-Related Catastrophizing Thoughts Scale, Tampa Scale of Kinesiophobia and the Neck Bournemouth Questionnaire were completed. Exploratory and confirmatory factor analyses were used to identify dimensionality and to compare different structures of the Neck Bournemouth Questionnaire.

          Results:

          We included 103 participants. The sample consisted mostly of adults (mean age = 33.64 years, standard deviation = 10.48 years), females (n = 82, 79.6%), lean, single and with higher education. The exploratory factor analysis with implementation of the parallel analysis identified the one-dimensional structure of the Neck Bournemouth Questionnaire, with a Kaiser-Meyer-Olkin value of 0.80 and Bartlett’s test significant ( P < 0.05). We observed that all structures tested in this study presented a high amount of residues in confirmatory factor analysis, which were identified by the value of root mean square error of approximation > 0.08 and chi-square/degree of freedom > 3.00.

          Conclusion:

          The internal structure of the Brazilian version of the Neck Bournemouth Questionnaire is not clear and well-defined. It was not possible to identify the construct measured by the instrument in individuals with chronic neck pain.

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          Most cited references30

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          Is Open Access

          Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

          Summary Background As mortality rates decline, life expectancy increases, and populations age, non-fatal outcomes of diseases and injuries are becoming a larger component of the global burden of disease. The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016. Methods We estimated prevalence and incidence for 328 diseases and injuries and 2982 sequelae, their non-fatal consequences. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between incidence, prevalence, remission, and cause of death rates for each condition. For some causes, we used alternative modelling strategies if incidence or prevalence needed to be derived from other data. YLDs were estimated as the product of prevalence and a disability weight for all mutually exclusive sequelae, corrected for comorbidity and aggregated to cause level. We updated the Socio-demographic Index (SDI), a summary indicator of income per capita, years of schooling, and total fertility rate. GBD 2016 complies with the Guidelines for Accurate and Transparent Health Estimates Reporting (GATHER). Findings Globally, low back pain, migraine, age-related and other hearing loss, iron-deficiency anaemia, and major depressive disorder were the five leading causes of YLDs in 2016, contributing 57·6 million (95% uncertainty interval [UI] 40·8–75·9 million [7·2%, 6·0–8·3]), 45·1 million (29·0–62·8 million [5·6%, 4·0–7·2]), 36·3 million (25·3–50·9 million [4·5%, 3·8–5·3]), 34·7 million (23·0–49·6 million [4·3%, 3·5–5·2]), and 34·1 million (23·5–46·0 million [4·2%, 3·2–5·3]) of total YLDs, respectively. Age-standardised rates of YLDs for all causes combined decreased between 1990 and 2016 by 2·7% (95% UI 2·3–3·1). Despite mostly stagnant age-standardised rates, the absolute number of YLDs from non-communicable diseases has been growing rapidly across all SDI quintiles, partly because of population growth, but also the ageing of populations. The largest absolute increases in total numbers of YLDs globally were between the ages of 40 and 69 years. Age-standardised YLD rates for all conditions combined were 10·4% (95% UI 9·0–11·8) higher in women than in men. Iron-deficiency anaemia, migraine, Alzheimer’s disease and other dementias, major depressive disorder, anxiety, and all musculoskeletal disorders apart from gout were the main conditions contributing to higher YLD rates in women. Men had higher age-standardised rates of substance use disorders, diabetes, cardiovascular diseases, cancers, and all injuries apart from sexual violence. Globally, we noted much less geographical variation in disability than has been documented for premature mortality. In 2016, there was a less than two times difference in age-standardised YLD rates for all causes between the location with the lowest rate (China, 9201 YLDs per 100 000, 95% UI 6862–11943) and highest rate (Yemen, 14 774 YLDs per 100 000, 11 018–19 228). Interpretation The decrease in death rates since 1990 for most causes has not been matched by a similar decline in age-standardised YLD rates. For many large causes, YLD rates have either been stagnant or have increased for some causes, such as diabetes. As populations are ageing, and the prevalence of disabling disease generally increases steeply with age, health systems will face increasing demand for services that are generally costlier than the interventions that have led to declines in mortality in childhood or for the major causes of mortality in adults. Up-to-date information about the trends of disease and how this varies between countries is essential to plan for an adequate health-system response.
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            Using Mutivariate Statistics

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              The Application of Electronic Computers to Factor Analysis

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Clinical Rehabilitation
                Clin Rehabil
                SAGE Publications
                0269-2155
                1477-0873
                December 2021
                June 10 2021
                December 2021
                : 35
                : 12
                : 1773-1780
                Affiliations
                [1 ]Postgraduate Program on Physical Education, Universidade Federal do Maranhão, São Luís, MA, Brazil
                [2 ]Postgraduate Program on Rehabilitation Sciences, Universidade Nove de Julho, São Paulo, SP, Brazil
                [3 ]Postgraduate Program on Adult Health, Universidade Federal do Maranhão, São Luís, MA, Brazil
                [4 ]Department of Physical Education, Universidade Federal do Maranhão, São Luís, MA, Brazil
                [5 ]Postgraduate Program on Environment, Universidade Ceuma, São Luís, MA, Brazil
                Article
                10.1177/02692155211024034
                34107796
                723fa2b4-3e85-4957-b684-1d19c730d5a0
                © 2021

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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