Individual and household-level predictors of health related quality of life among middle-aged people in rural Mid-east China: a cross-sectional study

详细信息    查看全文

• 作者：Jianfang Zhou (44)
  Xiaomei Ru (45)
  Norman Hearst (46)
  
  44. Institute of Humanities and Social Sciences ; Nanjing University of Posts and Telecommunications ; Wenyuan Road 9 ; New Yadong District ; 210023 ; Nanjing ; China
  45. Chinese Family Planning Science and Technology Research Institute ; Dahuisi 12 ; Haidian District ; 10081 ; Beijing ; China
  46. Departments of Family and Community Medicine and of Epidemiology and Biostatistics ; University of California ; 94143 ; San Francisco ; CA ; USA
  
• 关键词：China ; Household ; HRQOL ; Middle age ; Rural
• 刊名：BMC Public Health
• 出版年：2014
• 出版时间：December 2014
• 年：2014
• 卷：14
• 期：1
• 全文大小：470 KB
• 参考文献：1. Sung, MH, Yoon, JW, Son, HY (2005) A study of the relationship between stressful life events and mental health in middle-aged women. J Korean Acad Psychiatr Ment Health Nurs 14: pp. 186-194
  2. Park, HS, Kim, SK, Cho, GY (2003) A study on climacteric symptoms, depression and quality of life in middle-aged women. Korean J Women Health Nurs 9: pp. 479-488
  3. China鈥檚 Population Census Data. Database [http://www.stats.gov.cn/tjsj/pcsj/rkpc/6rp/indexch.htm].
  4. Ware, JEJ, Sherbourne, CD (1992) The MOS 36 item short form health survey (SF 36): conceptual framework and item selection. Med Care 30: pp. 473-483 CrossRef
  5. Ware, JE, Kosinski, M, Bayliss, MS, McHorney, CA, Rogers, WH, Raczek, A (1995) Comparison of methods for the scoring and statistical analysis of SF 36 health profile and summary measures: summary of results from the medical outcomes study. Med Care 33: pp. 264-279 CrossRef
  6. Wang, R, Wu, C, Zhao, YF (2008) Health related quality of life measured by SF-36: a population-based study in Shanghai, China. BMC Public Health 8: pp. 292 471-2458-8-292" target="_blank" title="It opens in new window">CrossRef
  7. Torrance, N, Smith, BH, Lee, AJ, Aucott, L, Cardy, A, Bennett, MI (2009) Analyzing the SF-36 in population-based research: a comparison of methods of statistical approaches using chronic pain as an example. J Eval Clin Pract 15: pp. 328-334 CrossRef
  8. Ware, JE, Gandek, B (1998) Overview of the SF-36 health survey and the International Quality of Life Assessment (IQOLA) project. J Clin Epidemiol 51: pp. 903-912 4356(98)00081-X" target="_blank" title="It opens in new window">CrossRef
  9. Li, L, Wang, HM, Shen, Y (2002) SF-36 health survey questionnaire in Chinese development and performance testing. Chin J Prevent Med 2: pp. 109-111
  10. Xiao, YZ, Chen, LZ, Xie, Z (2010) Use of Chinese version of SF-36 among Chinese rural elders. Chin JGerontol 11: pp. 3148-3149
  11. Li, J, Wang, H (2009) Validity and reliability test of SF-36 among citizens in Chongqing, China. J Fourth Mil Med Univ 14: pp. 1342-1344
  12. Li, R, Gao, Q, Li, JH (2012) Validity and reliability test of SF-36 among rural residents left behind. Chin J Pub health 4: pp. 541-542
  13. Zhao, HS, Wang, K, Jin, YL (2012) Reliability and validity of SF-36 in health survey among empty-nest elders in countryside. Chin J Pub Health 27: pp. 887-889
  14. Zheng, XY, Chen, LX (2006) Characteristics of Chinese aging population and policy thinking. Chin Gen Pract 10: pp. 1919-1924
  15. Zhang, BC, Deng, B, Li, J (2005) Study on the quality of life and its effect factors of middle-aged intellectual. Mod Prev Med 10: pp. 1278-1280
  16. Wang, F, Deng, B (2009) Quality of life and related factors in middle age intellectuals. Chin J Public Health 10: pp. 1259-1260
  17. Du, BF, He, H, Jin, CG, Fu, XG, Zhai, ZW (2006) Health of Chinese senior intellectuals: a comprehensive evaluation. Popul Res 1: pp. 2-12
  18. Yang, JH, Zhai, ZW, Wu, TN (2007) Sociodemographic analysis on health of middle-aged intelligentsia. Popul Econ 5: pp. 45-49
  19. Ou, AH, Liang, ZH, Zhou, LJ, Wen, LJ, Zhou, H, Lao, YR, Tan, JJ, Deng, B, Wang, F (2005) Health related quality of life and its related factors among middle-aged population in Guangzhou and Guiyang City in China. Chin Primary Health Care 10: pp. 28-30
  20. Zhou, LJ, Ou, AH, Deng, B, Wang, F (2005) Health related quality of life and its related factors among middle-aged women from different areas in China. Chin J Public Health 7: pp. 874-875
  21. Chandola, T, Clarke, P, Wiggins, RD, Bartley, M (2005) Who you live with and where you live: setting the context for health using multiple membership multilevel models. J Epidemiolo Community Health 59: pp. 170-175 CrossRef
  22. Ferrer, RL, Palmer, R, Burge, S (2005) The household contribution to health status: a population-level estimate. Ann Fem, Med 2: pp. 102-108 CrossRef
  23. Van Minh, H, Byass, P, Wall, S (2010) Multilevel analysis of effects of individual characteristics and household factors on self-rated health among older adults in rural Vietnam. Japan Geriatrics Soc 10: pp. 209-215
  24. Lam, CL, Tse, EY, Gandek, B, Fong, DY (2005) The SF-36 summary scales were valid, reliable, and equivalent in a Chinese population. J Clin Epidemiol 5: pp. 815-822 4.12.008" target="_blank" title="It opens in new window">CrossRef
  25. Lam, CL, Lauder, IJ, Lam, TP, Gandek, B (1999) Population based norming of the Chinese (HK) version of the SF-36 Health Survey. HK Pract 21: pp. 460-470
  26. Lindholm, E, Brevinge, H, Bergh, CH, Korner, U, Lundhplm, K (2003) Relationships between self-reported health related quality of life and measures of standardized exercise capacity and metabolic efficiency in a middle-aged and aged healthy population. Qual Life Res 12: pp. 575-582 4919526" target="_blank" title="It opens in new window">CrossRef
  27. Mishra, G, Schofield, MJ (1998) Norms for the physical and mental health component summary scores of the SF-36 for young, middle-aged and older Australian women. Qual Life Res 7: pp. 215-220 429" target="_blank" title="It opens in new window">CrossRef
  28. Funahashi, K, Takahashi, I, Danjo, K, Matsuzaka, M, Umeda, T, Nakaji, S (2011) Smoking habits and health-related quality of life in a rural Japanese population. Qual Life Res 20: pp. 199-204 48-8" target="_blank" title="It opens in new window">CrossRef
  29. D鈥橲ouza, MS, Karkada, SN, Somayaji, G (2013) Factors associated with health-related quality of life among Indian women in mining and agriculture. Health Qual Life Outcomes 11: pp. 9 477-7525-11-9" target="_blank" title="It opens in new window">CrossRef
  30. Stewart Williams, J, Cunich, M, Byles, J (2013) The impact of socioeconomic status on changes in the general and mental health of women over time: evidence from a longitudinal study of Australian women. Int J for Equity Health 12: pp. 11 475-9276-12-11" target="_blank" title="It opens in new window">CrossRef
  31. Jiang, HB, Lin, LZ (2004) Subjective wellbeing related factors and its adaption among elders. Chin J Gerontol 24: pp. 2461-2462
  32. Ji, QH (2009) Bachlor Thesis. Happiness Research among Farmers in Hebei Province, China.
  33. Chen, W, Chen, H (2013) Research on subjective wellbeing among population in Chendu, China. Rural Econ 3: pp. 11-15
  34. Lim, WY, Ma, S, Heng, D, Bhalla, V, Chew, S (2007) Gender, ethnicity, health behavior & self-rated health in Singapore. BMC Public Health 7: pp. 184 471-2458-7-184" target="_blank" title="It opens in new window">CrossRef
  35. Ahmad, K, Jafar, TH, Chaturvedi, N (2005) Self-rated health in Pakistan: results of a national health survey. BMC Public Health 5: pp. 51 471-2458-5-51" target="_blank" title="It opens in new window">CrossRef
  36. Yngwe, M, Diderichsen, F, Whitehead, M, Holland, P, Burstrom, B (2001) The role of income differences in explaining social inequalities in self-rated health in Sweden and Britain. J Community Health 55: pp. 556-561
  37. Smith, KV, Goldman, N (2007) Socioeconomic differences in health among older adults in Mexico. Soc Sci Med 65: pp. 1372-1385 CrossRef
  38. Aittomaki, A, Martikainen, P, Laaksonen, M, Lahelma, E, Rahkonen, O (2010) The associations of household wealth and income with self-rated health鈥?a study on economic advantage in middle-aged Finnish men and women. Soc Sci Med 71: pp. 1018-1026 40" target="_blank" title="It opens in new window">CrossRef
  39. China鈥檚 rural tap water supply coverage will reach 75% in 2010. Database http://news.xinhuanet.com/newscenter/2008-10/20/content_10225296.htm
  40. The pre-publication history for this paper can be accessed here:471-2458/14/660/prepub" class="a-plus-plus">http://www.biomedcentral.com/1471-2458/14/660/prepub
  
• 刊物主题：Public Health; Medicine/Public Health, general; Epidemiology; Environmental Health; Biostatistics; Vaccine;
• 出版者：BioMed Central
• ISSN：1471-2458

文摘

Background China has an enormous and growing middle-aged population. Little is known about health-related quality of life (HRQOL) for this group, especially in rural areas. We examined HRQOL and its individual and household predictors among middle-aged people in rural Mid-east China. Methods HRQOL questionnaires and information about individual and household characteristics were collected from 428 subjects aged 45 to 65 in 12 villages in Mid-east China. We examined the eight dimensions of the SF-36 instrument, along with the Physical Component Summary (PCS) and Mental Component Summary (MCS) using a reference sample in Hong Kong for standardization. Individual and household predictors of PCS and MCS were examined by one-way ANOVA and binary logistic regression analysis. Results Self-reported HRQOL was similar to that seen in middle-aged populations elsewhere. Based on univariate analyses, PCS differed by age, education, occupation, household per capita income, drinking water supply, and frequency of household members caring about each other; MCS differed by education, household per capita income, drinking water supply, and frequency of caring about each other. Individual and household-level factors accounted for 12.5% and 8.2% of the variance in PCS, respectively, and for 3.1% and 10.7% of the variance in MCS. Conclusions HRQOL among middle-aged people in rural China appears similar to that observed elsewhere, and varies by income, education, and other factors. Household factors, particularly the extent to which household members care about each other, are significant predictors of physical and mental health. In addition to improving general socioeconomic conditions, efforts to improve HRQOL for middle-aged people in rural China need to focus on the family environment.