4.6 Article

Association of lifestyle factors and suboptimal health status: a cross-sectional study of Chinese students

Journal

BMJ OPEN
Volume 4, Issue 6, Pages -

Publisher

BMJ PUBLISHING GROUP
DOI: 10.1136/bmjopen-2014-005156

Keywords

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Funding

  1. NSFC-Guangdong joint fund [U1132001]
  2. National Science Foundation of China [81173146, 81373707]
  3. Natural Science Foundation of Guangdong Province, China [S2012010009177, S2011010002941]
  4. Guangdong Provincial Department of Science and Technology
  5. Guangdong Provincial Academy of Traditional Chinese Medicine joint fund [2011B032200004, 2012A032500004]
  6. Guangdong Provincial Department of Science and Technology fund [2011B031700018]
  7. Science and Technical Plan of Guangzhou, Guangdong, China [2011J4300108]

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Objectives: Suboptimal health status (SHS) is considered to be an intermediate status between disease and health, and is characterised by a decline in vitality, in physiological function and in the capacity for adaptation. Although the incidence of SHS is high, the underlying causes remain unclear. Lifestyle is one of the most important factors affecting health status; however, the relationship between SHS and lifestyle has not been elucidated. Design: Cross-sectional survey. Setting: A questionnaire, based on 'Health Promoting Lifestyle Profile-II (HPLP-II)' and 'Sub-Health Measurement Scale V1.0 (SHMS V1.0)', was sent to four colleges in four districts (Guangzhou, Foshan, Zhanjiang and Shaoguan) of China between May and July 2013. Participants: A total of 12 429 questionnaires were distributed during the study period, and 11 144 completed responses were received. Results: The prevalence rates for the 'healthy', 'SHS' and 'disease' groups of respondents (students) were 22.81% (2542), 55.9% (6234) and 21.25% (2368), respectively. Most of the students reported a 'moderate' or 'good' lifestyle. There were significant differences in lifestyle and health status between the two genders. It was notable that health status was significantly positively correlated with lifestyle (r=0.563). For every dimension of the HPLP-II model, the mean values were lower for those participants who reported as 'SHS' or 'disease' than for those who reported that they were 'healthy'. The individual dimensions of the HPLP-II model, including 'spiritual growth', 'health responsibility', 'physical activity', 'interpersonal relations' and 'stress management' were all related to SHS. Conclusions: Health status is significantly positively correlated with lifestyle. Poor lifestyle is a risk factor for SHS. Conversely, adopting a healthier lifestyle can improve SHS.

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