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Nutrición Hospitalaria
versión On-line ISSN 1699-5198versión impresa ISSN 0212-1611
Nutr. Hosp. vol.29 no.5 Madrid may. 2014
https://dx.doi.org/10.3305/nh.2014.29.5.7354
Prevalence of overweight and obesity among a university faculty and staffs from 2004 to 2010, China
Prevalencia de sobrepeso y obesidad entre una universidad, facultad y personal, de 2004 a 2010, China
Lianping He1, Xiaohua Ren1, Yifan Qian2, Yuelong Jin1, Yan Chen1, Daoxia Guo1, Yingshui Yao1
1 School of Public Health, Wannan Medical College. Wuhu 241002. Anhui. People's Republic of China.
2 School Hospital of Anhui Normal University. Anhui Normal University. Wuhu. Anhui 241000. People's Republic of China.
This research was supported by the National Natural Science Foundation of China (81072367), the Anhui Provincial Natural Science Foundation (090413126 and 1308085MH135), the Wannan Medical College Youth Fund (WKS201305), the Key Projects Universities of young talents Fund of Anhui provincial (2013SQRL056ZD), Wannan Medical College key scientific research projects Engagement Fund (WK2013Z01).
ABSTRACT
Background: Overweight and obesity are epidemic worldwide. Our present study was to examine the prevalence of overweight and obesity in a university faculty and staffs using two references [Working Group on Obesity references in China (2004) and World Health Organization (WHO) criteria 2000].
Objective: The purpose of this study was to estimate the prevalence of overweight and obesity among university faculty and staffs in China.
Methods: A cross-sectional study was designed to collect the routine health screening data for a university faculty and staffs from 2004 to 2010(2004, 2006, 2008 and 2010); the subjects aged 22-94 years.
Results: Depending on the references used (China and WHO, respectively), the overall prevalence of overweight, including obesity of the subjects was 36.1% and 25.5%, the prevalence of obesity was 5.3%, and 1.5%, respectively, the prevalence of overweight, including obesity among the male subjects was 46% and 32.5%, respectively, the prevalence of overweight, including obesity among the female subjects was 21% and 14.1%, respectively, An interesting observation made was that the overall prevalence of overweight was increased with age.
Conclusions: Regarding the harmful of overweight and obesity, it is encourage reducing liberal food environment and increasing physical activity among university faculty and staffs, especially for male faculty.
Key words: Body mass index. Faculty. Obesity. Overweight. China.
RESUMEN
Antecedentes: El sobrepeso y la obesidad son epidemia en todo el mundo. El presente estudio fue examinar la prevalencia de sobrepeso y obesidad en una universidad, Facultad y personal utilizando dos referencias [Grupo de trabajo sobre la obesidad referencias en China (2004) y la Organización Mundial de la salud (OMS) criterios (2000)].
Objetivo: El objetivo de este estudio fue estimar la prevalencia del sobrepeso y la obesidad entre la facultad y personal de la Universidad en China.
Métodos: Un estudio transversal fue diseñado para recoger los exámenes de salud de rutina los datos para una universidad la facultad y personal de 2004 a 2010 (2004, 2006, 2008 y 2010); los sujetos de 22-94 años.
Resultados: Dependiendo de las referencias utilizadas (China y la OMS, respectivamente), la prevalencia de sobrepeso, incluyendo la obesidad de los sujetos fue un 36,1% y 25,5%, la prevalencia de obesidad fue del 5,3% y 1,5%, respectivamente, la prevalencia de sobrepeso, incluyendo la obesidad entre los sujetos varones, fue de 46% y 32,5%, respectivamente la prevalencia de sobrepeso, incluyendo la obesidad entre las mujeres fue de 21% y 14,1%, respectivamente, de una observación interesante es que la prevalencia global de sobrepeso aumentó con la edad.
Conclusiones: Respecto a los daños del sobrepeso y la obesidad, es alentar la reducción de alimentos ambiente liberal y aumentar la actividad física entre universidad, Facultad y personal, especialmente para hombre facultad.
Palabras clave: Índice de masa corporal. Facultad. Obesidad. Sobrepeso. China.
Introduction
In recent decades, the prevalence of obesity in children and adult has risen steeply world wide1-6. Some researcher documented that employees have less self-efficacy and consume less healthful diets than their normal weight colleagues7. A high prevalence of adults obesity and overweight cases has been reported in developing countries undergoing nutritional transition8. These are also emerging as a major public health problem in China9,10.
Obesity is associated with significant comorbidities and health problems such as breast cancer11, diabetes mellitus12,13, hypertension14, coronary artery disease15, and occupational injuries16. Some researcher showed that the prevalence of obesity was higher among middle-aged adults17,18. In China, the prevalence of overweight, general obesity and abdominal obesity among Chinese adults has increased greatly during the past 17 years. However, there is a paucity of data on prevalence of overweight and obesity in university faculty and staffs19.
In this study, the Center for Working Group on Obesity references in China20 and World Health Organization (WHO) criteria21 was used to assess the prevalence of overweight, obesity in a university faculty and staffs in Wuhu area of south Anhui, China.
Methods
Subjects and Methods
Participants
Routine health screening was preformed among a university faculty and staffs every two years, in this study a total of 9,979 person-years (6,038 male and 3,941 female) data was collected between 2004 to 2010 (2004, 2006, 2008 and 2010), aged 22-94 years. All subjects agreed to provide their personal information regarding the purpose and the procedures of our study. This study was approved by local committee.
Anthropometric measurements
Height was measured using a standard stadiometer following study protocols, and weight in kilograms was measured on an electronic scales. BMI was computed using the following standard equation: BMI = Weight in kg/height squared in meter.
Definitions
Overweight and obesity were defined on BMI cutoff points, which are gender and age specific. 1 Working Group on Obesity references in China, the BMI cut-off points are 24 and 28 for overweight and obesity respectively; 2 the WHO reference is based on the BMI of 25 and 30 at the age of 18 for classification of childhood and adolescent overweight and obesity, respectively.
Ethical consideration
Faculty and staffs in the selected university were well-informed on the scope and extent of the survey and consent of the parents were also obtained.
Statistical analysis
R software programming language22 was performed to describe the prevalence of overweight/obesity, A line graph was draw by Excel software.
Results
In this study a total of 9,979 person-years (6,038 male and 3,941 female) data was collected between 2004 to 2010 (2004, 2006, 2008 and 2010), aged 22-94 years. The mean values (± SD) of weight, height, and calculated BMI are shown in table I. An interesting observation made was that the mean of BMI and weight was increased with year in male but not in female (fig.1).
The prevalence of overweight and obesity for university faculty and staffs are shown in table II. Depending on the references used (China and WHO, respectively), the overall prevalence of overweight, including obesity of the subjects was 36.1% and 25.5%, the prevalence of obesity was 5.3%, and 1.5%, respectively, the prevalence of overweight, including obesity among the male subjects was 46% and 32.5%, respectively, the prevalence of overweight, including obesity among the female subjects was 21% and 14.1%, respectively, An interesting observation made was that the overall prevalence of overweight was increased with age. The higher prevalence of overweight and obesity observed in our subjects using the WHO reference and working group on obesity references in China.
Discussion
In the present study, we use two references to compare the overweight and obesity. The results revealed that overall prevalence of overweight, including obesity of the subjects was 36.1% and 25.5%, the prevalence of obesity was 5.3%, and 1.5%, respectively, depending on the references used (China and WHO, respectively). An interesting observation made was that the mean of BMI and weight was increased with year in male but not in female, these data provide an indication that university male faculty and staffs should be taken more attention.
Recent evidence suggests that the nutrition transition is accelerating and the outcome of this trend is a rapid increase in obesity and chronic diseases23. Lifestyle transition and socio-economic improvement have contributed enormously to the escalating problem in developing countries. Especially, lifestyle24 and food variety25 may have an influence on obesity. Meanwhile, obesity also is associated with reduced sleeping hours and long working hours26, Lack of health awareness to male university faculty may also be linked to its high prevalence.
The references used in this study produce different estimates for overweight and obesity. However, future research is needed to identify more accurate defining criteria for overweight and obesity using the BMI cutoffs in adults.
Conclusions
The study showed that the prevalence of overweight in early adolescence school girls in small town of our country is a critical health issue. The study suggests that greater risk of overweight among university faculty and staffs for targeted intervention that promotes increased physical activity and decreased consumption of energy dense foods to control the escalating prevalence.
Conflict of Interest
None declared.
References
1. Wang Y Lobstein T. Worldwide trends in childhood overweight and obesity. Int J Pediatr Obes 2006; 1(1): 11-25. [ Links ]
2. Musa DI, Toriola AL, Monyeki MA Lawal B. Prevalence of childhood and adolescent overweight and obesity in Benue State, Nigeria. LID-10.1111/j.1365-3156.2012.03083.x (doi). TROP MED INT HEALTH 2012. [ Links ]
3. Gee S, Chin D, Ackerson L, Woo D Howell A. Prevalence of childhood and adolescent overweight and obesity from 2003 to 2010 in an integrated health care delivery system. J Obes 2013; 2013417907. [ Links ]
4. Valdes PJ, Royo-Bordonada MA. Prevalence of childhood obesity in Spain: National Health Survey 2006-2007. Nutr Hosp 2012; 27 (1): 154-60. [ Links ]
5. Bacardi-Gascon M, Jones EG, Jimenez-Cruz A. Prevalence of obesity and abdominal obesity from four to 16 years old children living in the Mexico-USA border. Nutr Hosp 2013; 28 (2): 479-85. [ Links ]
6. Ferreira MCD, Ribeiro SRC, Machado ME, de Santana ML P, de Andrade Cairo RC, Pinto EJ, Oliveira RML Rodrigues SL. The prevalence of overweight and obesity in adolescents in Bahia, Brazil. Nutr Hosp 2013; 28 (2): 491-6. [ Links ]
7. Freedman MR, Rubinstein RJ. Obesity and Food Choices Among Faculty and Staff at a Large Urban University. J Am Coll Health 2011; 59 (3): 205-10. [ Links ]
8. Masuet-Aumatell C, Ramon-Torrell JM, Banque-Navarro M, Davalos-Gamboa MR, Montano-Rodriguez SL. Prevalence of overweight and obesity in children and adolescents from Cochabamba, Bolivia: a cross-sectional study. Nutr Hosp 2013; 28 (6): 1884-91. [ Links ]
9. Gao Y, Ran XW, Xie XH, Lu HL, Chen T, Ren Y, Long Y, Tian HM. Prevalence of overweight and obesity among Chinese Yi nationality: a cross-sectional study. BMC Public Health 2011; 11919. [ Links ]
10. Li XY, Jiang Y, Hu N, Li YC, Zhang M, Huang ZJ, Zhao WH. Prevalence and characteristic of overweight and obesity among adults in China, 2010. Zhonghua Yu Fang Yi Xue Za Zhi 2012; 46 (8): 683-6. [ Links ]
11. Petekkaya I, Sahin U, Gezgen G, Solak M, Yuce D, Dizdar O, Arslan C, Ayyildiz V, Altundag K. Association of breast cancer subtypes and body mass index. Tumori 2013; 99 (2): 129-33. [ Links ]
12. o, HB, Jiang CQ, Bosch JA, Zhang WS, Cheng KK, Lam TH, Thomas GN. Independent and combined associations of abdominal obesity and seated resting heart rate with type 2 diabetes among older Chinese: the Guangzhou Biobank Cohort Study. Diabetes-Metab Res 2011; 27 (3): 298-306. [ Links ]
13. Das P, Bhattacharjee D, Bandyopadhyay SK, Bhattacharya G, Singh R. Association of obesity and leptin with insulin resistance in type 2 diabetes mellitus in Indian population. Indian J Physiol Pharmacol 2013; 57 (1): 45-50. [ Links ]
14. Rodilla E, Costa JA, Martin J, Gonzalez C, Pascual JM, Redon J. Impact of abdominal obesity and ambulatory blood pressure in the diagnosis of left ventricular hypertrophy in never treated hypertensives. LID-S0025-7753(13)00581-2 (pii) LID- 10.1016/ j.medcli.2013.04.046 (doi). Med Clin-Barcelona 2013. [ Links ]
15. Bechlioulis A, Vakalis K, Naka KK, Bourantas CV, Papamichael ND, Kotsia A, Tzimas T, Pappas K, Katsouras CS, Michalis LK. Paradoxical protective effect of central obesity in patients with suspected stable coronary artery disease. Obesity 2013; 21 (3); E314-21. [ Links ]
16. Kouvonen A, Kivimaki M, Oksanen T, Pentti J, De Vogli R, Virtanen M, Vahtera J. Obesity and occupational injury: a prospective cohort study of 69,515 public sector employees. Plos One 2013; 8 (10): e77178. [ Links ]
17. Fakhouri TH, Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of obesity among older adults in the United States, 2007-2010. NCHS Data Brief 2012 (106). p. 1-8. [ Links ]
18. Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of obesity among adults: United States, 2011-2012. NCHS Data Brief 2013; (131). p. 1-8. [ Links ]
19. Chhatwal J, Verma M, Riar SK. Obesity among pre-adolescent and adolescents of a developing country (India). Asia Pac J Clin Nutr 2004; 13 (3): 231-5. [ Links ]
20. Chen C, Lu FC. The guidelines for prevention and control of overweight and obesity in Chinese adults. Biomed Environ SCI 2004; (Supl. 17): 1-36. [ Links ]
21. Obesity: preventing and managing the global epidemic. Report of a WHO consultation. WHO Tech Rep Ser 2000; 894i-xii, 1-253. [ Links ]
22. Johns KA. The Programming Environment for Statistical Tabulation. Int J Biomed Comput 1986; 19 (3-4): 161-73. [ Links ]
23. Ahn S, Zhao H, Smith ML, Ory MG, Phillips CD. BMI and lifestyle changes as correlates to changes in self-reported diagnosis of hypertension among older Chinese adults. J Am Soc Hypertens 2011; 5 (1): 21-30. [ Links ]
24. Villegas R, Xiang YB, Cai H, Elasy T, Cai Q, Zhang X, Fazio S, Linton MF, Li H, Xu WH, et al. Lifestyle determinants of C-reactive protein in middle-aged, urban Chinese men. Nutr Metab Cardiovas 2012; 22 (3): 223-30. [ Links ]
25. Sea MM, Woo J, Tong PC, Chow CC, Chan JC. Associations between food variety and body fatness in Hong Kong Chinese adults. J Am Coll Nutr 2004; 23 (5): 404-13. [ Links ]
26. Ko GT, Chan JC, Chan AW, Wong PT, Hui SS, Tong SD, Ng SM, Chow F, Chan CL. Association between sleeping hours, working hours and obesity in Hong Kong Chinese: the 'better health for better Hong Kong' health promotion campaign. Int J Obesity 2007; 31 (2): 254-60. [ Links ]
Correspondence:
Yingshui Yao.
School of Public Health.
Wannan Medical College. No. 22 Road wenchangxi.
Yijiang distric. wuhu city, anhui province.
241002 People's Republic of China.
E-amil: yingshuiyao@163.com
Recibido: 16-II-2014.
1.a Revisión: 17-II-2014.
Aceptado: 12-III-2014.