2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Systematic estimation of BMI : A novel insight into predicting overweight/obesity in undergraduates

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The prevalence of overweight–obesity has increased sharply among undergraduates worldwide. In 2016, approximately 52% of adults were overweight–obese. This cross-sectional study aimed to investigate the prevalence of overweight–obesity and explore in depth the connection between eating habits and overweight–obesity among Chinese undergraduates.

          The study population included 536 undergraduates recruited in Shijiazhuang, China, in 2017. They were administered questionnaires for assessing demographic and daily lifestyle characteristics, including sex, region, eating speed, number of meals per day, and sweetmeat habit. Anthropometric status was assessed by calculating the body mass index (BMI). The determinants of overweight–obesity were investigated by the Pearson χ 2 test, Spearman rho test, multivariable linear regression, univariate/multivariate logistic regression, and receiver operating characteristic curve analysis.

          The prevalence of undergraduate overweight–obesity was 13.6%. Sex [male vs female, odds ratio (OR): 1.903; 95% confidence interval (95% CI): 1.147–3.156], region (urban vs rural, OR: 1.953; 95% CI: 1.178–3.240), number of meals per day (3 vs 2, OR: 0.290; 95% CI: 0.137–0.612), and sweetmeat habit (every day vs never, OR: 4.167; 95% CI: 1.090–15.933) were significantly associated with overweight–obesity. Eating very fast was positively associated with overweight–obesity and showed the highest OR (vs very slow/slow, OR: 5.486; 95% CI: 1.622–18.553). However, the results of multivariate logistic regression analysis indicated that only higher eating speed is a significant independent risk factor for overweight/obesity (OR: 17.392; 95% CI, 1.614–187.363; P = .019).

          Score meng = 1.402 × score sex + 1.269 × score region + 19.004 × score eatin  speed + 2.546 × score number of meals per day + 1.626 × score sweetmeat habit and BMI = 0.253 × Score meng + 18.592. These 2 formulas can help estimate the weight status of undergraduates and predict whether they will be overweight or obese.

          Related collections

          Most cited references22

          • Record: found
          • Abstract: found
          • Article: not found

          Association between chronic periodontal disease and obesity: a systematic review and meta-analysis.

          Obesity is increasing in prevalence and is a major contributor to worldwide morbidity. One consequence of obesity might be an increased risk for periodontal disease, although periodontal inflammation might, in turn, exacerbate the metabolic syndrome, of which obesity is one component. This review aims to systematically compile the evidence of an obesity-periodontal disease relationship from epidemiologic studies and to derive a quantitative summary of the association between these disease states. Systematic searches of the MEDLINE, SCOPUS, BIOSIS, LILACS, Cochrane Library, and Brazilian Bibliography of Dentistry databases were conducted with the results and characteristics of relevant studies abstracted to standardized forms. A meta-analysis was performed to obtain a summary measure of association. The electronic search identified 554 unique citations, and 70 studies met a priori inclusion criteria, representing 57 independent populations. Nearly all studies matching inclusion criteria were cross-sectional in design with the results of 41 studies suggesting a positive association. The fixed-effects summary odds ratio was 1.35 (Shore-corrected 95% confidence interval: 1.23 to 1.47), with some evidence of a stronger association found among younger adults, women, and non-smokers. Additional summary estimates suggested a greater mean clinical attachment loss among obese individuals, a higher mean body mass index (BMI) among periodontal patients, and a trend of increasing odds of prevalent periodontal disease with increasing BMI. Although these results are highly unlikely to be chance findings, unmeasured confounding had a credible but unknown influence on these estimates. This positive association was consistent and coherent with a biologically plausible role for obesity in the development of periodontal disease. However, with few quality longitudinal studies, there is an inability to distinguish the temporal ordering of events, thus limiting the evidence that obesity is a risk factor for periodontal disease or that periodontitis might increase the risk of weight gain. In clinical practice, a higher prevalence of periodontal disease should be expected among obese adults.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Eating disorders in children and adolescents: state of the art review.

            Despite their high prevalence, associated morbidity and mortality, and available treatment options, eating disorders (EDs) continue to be underdiagnosed by pediatric professionals. Many adolescents go untreated, do not recover, or reach only partial recovery. Higher rates of EDs are seen now in younger children, boys, and minority groups; EDs are increasingly recognized in patients with previous histories of obesity. Medical complications are common in both full and subthreshold EDs and affect every organ system. No single cause of EDs has emerged, although neurobiological and genetic predispositions are emerging as important. Recent treatment paradigms acknowledge that they are not caused by families or chosen by patients. EDs present differently in pediatric populations, and providers should have a high index of suspicion using new Diagnostic and Statistical Manual, 5th edition diagnostic criteria because early intervention can affect prognosis. Outpatient family-based treatment focused on weight restoration, reducing blame, and empowering caregivers has emerged as particularly effective; cognitive behavioral therapy, individual therapy, and higher levels of care may also be appropriate. Pharmacotherapy is useful in specific contexts. Full weight restoration is critical, often involves high-calorie diets, and must allow for continued growth and development; weight maintenance is typically inappropriate in pediatric populations. Physical, nutritional, behavioral, and psychological health are all metrics of a full recovery, and pediatric EDs have a good prognosis with appropriate care. ED prevention efforts should work toward aligning with families and understanding the impact of antiobesity efforts. Primary care providers can be key players in treatment success.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Obesity and periodontitis.

                Bookmark

                Author and article information

                Journal
                Medicine (Baltimore)
                Medicine (Baltimore)
                MEDI
                Medicine
                Wolters Kluwer Health
                0025-7974
                1536-5964
                May 2019
                24 May 2019
                : 98
                : 21
                : e15810
                Affiliations
                [a ]Peking Union Medical College and Chinese Academy of Medical Sciences
                [b ]Department of Neurosurgery, Affiliated Navy Clinical College of Anhui Medical University
                [c ]Department of Orthopedics, The Fourth Hospital of Hebei Medical University
                [d ]School of Basic Medical Sciences, Hebei Medical University, Shijiazhuang, Hebei
                [e ]Department of Biotherapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin
                [f ]Epidemiology Department, Beijing Hospital, National Center of Gerontology, Beijing
                [g ]Department of Surgery, Rugao Motou Hospital, Nantong, Jiangsu
                [h ]Internal Medicine Department, Jinzhou Medical University, Jinzhou, Liaoning
                [i ]Department of Nutrition and Diet, the Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei Province
                [j ]Neurology Department, Beijing Hospital, National Center of Gerontology, Beijing, P. R. China.
                Author notes
                []Correspondence: Qi Xie, Department of Nutrition and Diet, The Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Shijiazhuang 050000, Hebei Province, P. R. China (e-mail: dream6903@ 123456163.com ).
                Article
                MD-D-18-07470 15810
                10.1097/MD.0000000000015810
                6571404
                31124981
                52e55994-6a2f-4021-b730-6442bb2055c6
                Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc.

                This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0

                History
                : 15 October 2018
                : 13 April 2019
                : 2 May 2019
                Categories
                5500
                Research Article
                Observational Study
                Custom metadata
                TRUE

                eating habits,obesity,overweight,risk factors,undergraduate
                eating habits, obesity, overweight, risk factors, undergraduate

                Comments

                Comment on this article