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2019, Number 3

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Rev cubana med 2019; 58 (3)

Overweight and obesity in adult body self-perception in China

Zhang M, Real CRM, Tamargo BTO, León CR

Language: Spanish
References: 39
Page: 1-14
PDF size: 366.38 Kb.


ABSTRACT

Introduction: In China, the prevalence of overweight and obesity is increasing dramatically.
Objective: To assess the body self-perception of Chinese adults and to determine their relationship with anthropometric indicators.
Methods: An observational cross-sectional study was conducted in Panzhihua, China. The sample was made up of n = 151 subjects, aged between 18 and 80 years who met the established inclusion criteria. A questionnaire was conducted through a face-to-face interview and measurements of weight, height, waist and hip circumference, determinations of the body mass index, waist circumference index and that of the hip and the percentage of body fat.
Results: According to the classification of the body fat percentage, it was determined 10.6 % normal weight, 28.5 % overweight and 60.9 % obesity. According to the body mass index, it was found 5.3 % in the thin level, 47.0 % normal weight, 32.5 % overweight and 15.2 % obese. According to the waist and hip circumference index, 34.4 % was normal and 65.6 % had abdominal obesity. Regarding body self-perception, 54.7% of the subjects self-perceived as normal weight, 24.3 % considered themselves to be overweight and 12.2 % self-perceived as obese. The correlations between body self-perception, body mass index and body fat percentage expressed a significant difference (p<0.05), body self-perception and the waist and hip circumference index showed no difference (p>0.05). According to the Pearson correlation, the percentage of body fat was more reliable as an indicator.
Conclusion: The body self-perception of the subjects in this research was not adequate. Body fat percentage was the most reliable anthropometric indicator in the study.


REFERENCES

  1. Broughton DE, Moley KH. Obesity and female infertility: potential mediators of obesity's impact. Fertil Steril. 2017;107(4):840-847. PubMed: PMID: 28292619.

  2. Lavie CJ, Pandey A, Lau DH, Alpert MA, Sanders P. Obesity and atrial fibrillation prevalence, pathogenesis, and prognosis: effects of weight loss and exercise. J Am Coll Cardiol. 2017;70(16):2022-35. PubMed: PMID: 29025560.

  3. Yeomans MR. Adverse effects of consuming high fat-sugar diets on cognition: implications for understanding obesity. Proc Nutr Soc. 2017;76(4):455-65. PubMed: PMID:28514983.

  4. Sarwer DB, Grilo CM. Obesity: psychosocial and behavioral aspects of a modern epidemic: Introduction to the special issue. Am Psychol. 2020;75(2):135-8. PubMed: PMID: 32052989.

  5. Ko YH, Wong TC, Hsu YY, Kuo KL, Yang SH. The correlation between body fat, visceral fat, and nonalcoholic fatty liver disease. Metab Syndr Relat Disord. 2017;15(6):304-11. PubMed: PMID: 28481662.

  6. McGuire S. Scientific report of the 2015 dietary guidelines advisory committee. Washington, DC: US departments of agriculture and health and human services, 2015. Adv Nutr. 2016;7(1):202-4. PubMed: PMID:26773024.

  7. Lang A, Froelicher ES. Management of overweight and obesity in adults: behavioral intervention for long-term weight loss and maintenance. Eur J Cardiovasc Nurs. 2006;5(2):102-14. PubMed: PMID: 16406709.

  8. World Health Organization .Obesity: Preventing and managing the global epidemic. Report of a WHO Consultation. Geneva: World Health Organization; 2000.

  9. World Health Organization, Niu Shengtian, Cui Yanhong, Gao Ling. Prevention of Obesity - Report of the World Health Organization Consultation. Peop Med Publish House. 2001;15:30.

  10. National Health and Family Planning Commission. Resident nutrition and chronic disease report released. Rev Modern Health. 2015[acceso: 29/03/2019];18:3-4. Disponible en: http://www.cqvip.com/main/export.aspx?id=89838868504849534956484855&type=2&sign=1676dc5f27805c294d278fa4c1f7c130

  11. Huanjiu X, Zhao C. Anthropometric methods. Sci Press. 2010;10:174.

  12. Qing D. Health management for urban people: talking about. Obesity. 2019[acceso: 29/03/2019];11:71-3. Disponible en: https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&fil ename=SHZL201911023&v=MjU1ODBlWDFMdXhZUzdEaDFUM3FUcldNMUZyQ1VS N3FmWmVSckZpamdWcnpLTmlYUllyRzRIOWpOcm85SFo0Ujg=

  13. NCD Risk Factor Collaboration (NCD-RisC).Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19•2 million participants. Lancet. 2016;387(10026):1377-96. PubMed: PMID:27115820.

  14. World Health Organization: Healthy China 2030. The 9th Global Conference on Health Promotion, Shanghai. 2016[acceso: 15/05/2019]. Disponible en: https://www.who.int/healthpromotion/conferences/9gchp/healthy-china/en/

  15. Shuguang S, Wangfeng Z. The idea, framework and path of healthy China construction. J Sun Yat Sen University. 2020[acceso: 19/03/2019];60(1):168-78. Disponible en: https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDAUTO&filena me=ZSDS202001018&v=MDc4MDNQZmJHNEhOSE1ybzlFYklSOGVYMUx1eFlTN0Ro MVQzcVRyV00xRnJDVVI3cWZaZWRuRmk3a1ViM0pQejc=

  16. Meiying Z. Let the strategy of promoting healthy China become the consensus and action of the whole society. J Qun Yan. 2020[acceso: 19/03/2019];1:26-8. Disponible en: https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDAUTO&filena me=QYYT202001010&v=MDYzMzRxVHJXTTFGckNVUjdxZlplUnJGaWpuVmJ2UE5E VFNlckc0SE5ITXJvOUVaSVI4ZVgxTHV4WVM3RGgxVDM=

  17. Xiaosong Yu, Xiaoqin Lu. La introducción de medicina general, 5ta ed. China: Las ediciones de la salud pública; 2018.

  18. China obesity working group data collection and analysis collaboration group. China obesity working group data collection and analysis collaboration group. Predictive value of adult body mass index and waist circumference for risk factors of related diseases: appropriate body mass index and waist cut point study. Chin J Epidemiol. 2002; 23(1):5-10.

  19. Departamento de Control de Enfermedades, Ministerio de Salud, República Popular de China. Pautas para la prevención y el control del sobrepeso y la obesidad en adultos chinos. Editorial de Salud de las personas; 2006.

  20. International Life Science Society China Office China Obesity Working Group. Introduction to China adult body mass index classification. Chin J Prev Med. 2001;35(5):349-50.

  21. Liancheng Z, Yangfeng W, Beifan Z. Prospective study of body mass index and coronary heart disease, stroke incidence. Chin J Cardiovasc Dis. 2002;30(7):430-3.

  22. Choo V. WHO reassesses appropriate body-mass index for Asian population. Lancet. 2002;360(9328):236.

  23. Deurenberg P1, Weststrate JA, Seidell JC. Body mass index as a measure of body fatness: age- and sex-specific prediction formulas. Br J Nutr. 1991;65(2):105-14.

  24. Lavalle González FJ, Mancillas Adame L, Villareal Pérez JZ, Zapata garrido AJ, Villareal Martínez J, Rodríguez Gutiérrez R. Comparación del porcentaje de grasa corporal estimado por la fórmula de Deurenberg y el obtenido por pletismografía por desplazamiento de aire. Rev Salud Pública Nutr. 2011[acceso: 19/03/2019];12(1). Disponible en: http://repositorio.sibdi.ucr.ac.cr:8080/jspui/bitstream/123456789/5956/1/40881.pdf

  25. Carnero EA, Alvero Cruz JR, Giráldez MA Sardinha LB. La evaluación de la composición corporal “in vivo"; parte I: perspectiva histórica. Nutr Hosp. 2015[acceso: 15/052015];31:1957-67. Disponible en: http://www.aulamedica.es/nh/pdf/8570pdf

  26. Zhou BF. Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults-study on optimal cut-off points of body mass index and waist circumference in Chinese adults. Biomed Environ Sci. 2002;15:83-96.

  27. Madden AM, Smith S. Body composition and morphological assessment of nutritional status in adults: a review of anthropometric variables. J Hum Nutr Diet. 2016;29(1):7-25. PubMed: PMID: 25420774.

  28. Lohman TG, Roche AF, Martorell R. Anthropometric standardization reference manual. Champaign, IL: Human Kinetics; 1988.

  29. Huijun W, Fengying Z. Program and policy options for preventing obesity in China. Obes Rev. 2013;14(2):134-40.

  30. Utkualp N, Ercan I. Anthropometric Measurements Usage in Medical Sciences. Biomed Res Int. 2015;2015:404261.PubMed: PMID: 26413519.

  31. Thaler A, Geuss MN, Mölbert SC, Giel KE, Streuber S, Romero J, et al. Body size estimation of self and others in females varying in BMI. PLoS One. 2018;13(2):e0192152. PubMed: PMID: 29425218.

  32. Haggerty T1, Xiang J2, King D2. Patient Body Mass Index (BMI) Knowledge in a Rural Primary Care Population. J Am Board Fam Med. 2019;32(3):413-17. PubMed: PMID: 31068406.

  33. Gledhill LJ, George HR, Tovée MJ. Perceptual not attitudinal factors predict the accuracy of estimating other women's bodies in both women with anorexia nervosa and controls. Front Psychol. 2019;10:997. PubMed: PMID: 31143143.

  34. Brooks KR, Baldry E, Mond J, Stevenson RJ, Mitchison D, Stephen ID. Gender and the body size aftereffect: implications for neural processing. Front Neurosci. 2019;13:1100. PubMed: PMID:31680834.

  35. Kuskowska Wolk A, Rossner S. The “True” prevalence of obesity: a comparison of objective weightand height measures versus self-reported and calibrated data. Scand J Prim Health Care. 1989;7:79-82.

  36. Robinson E, Kirkham TC. Is he a healthy weight? Exposure to obesity changes perception of the weightstatus of others. Int J Obes. Nature Publishing Group. 2014;38:663- 7.

  37. Burke MA, Heiland FW, Nadler CM. From “Overweight” to “About Right”: Evidence of a generational shift in body weight norms. Obesity (Silver Spring). 2010;18:1226-34.

  38. Sánchez E, Sánchez M, Betriu À, Rius F, Torres G, Purroy F. Are obesity indicesuseful for detecting subclinical atheromatosis in a middle-aged population? Obes Facts. 2020;22:1- 11. PubMed: PMID: 31968341.

  39. Cook NR, Appel LJ, Whelton PK. Weight change and mortality: Long-term results from the trials of hypertension prevention. J Clin Hypertens (Greenwich). 2018;20(12):1666-73. PubMed: PMID: 30390361.




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