Association of Suboptimal Health Status and Cardiovascular Risk Factors in Urban Chinese Workers

Yu, Yang; Dong, Jing; Liu, You Q.; Yang, Xing; Li, Man; Shia, Gilbert; Wang, Wei

doi:10.1007/s11524-011-9636-8

Cited by 104 publications

(126 citation statements)

References 30 publications

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“…High though the prevalence of SHS is, the mechanism underlying SHS has yet to be ascertained and there has been a lack of objective clinical diagnostics for SHS. SHS questionnaires have been developed and widely used as diagnostic instruments of SHS in China, such as Suboptimal Health Status Questionnaire-25 (SHSQ-25) [39,40] and Multidimensional Sub-health Questionnaire of Adolescents (MSQA) [41]. SHSQ-25 is mainly aimed at physiological and psychological SHS and MSQA mainly suitable for adolescents.…”

Section: Breakfast Eating Habits and Shsmentioning

confidence: 99%

Associations between breakfast eating habits and health-promoting lifestyle, suboptimal health status in Southern China: a population based, cross sectional study

et al. 2014

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Background: Suboptimal health status (SHS) is the intermediate health state between health and disease, refers to medically undiagnosed or functional somatic syndromes, and has been a major global public health challenge. However, both the etiology and mechanisms associated with SHS are still unclear. Breakfast eating behavior is a dietary pattern marker and previous studies have presented evidence of associations between failure to consume breakfast and increased diseases. Accordingly, in view of the significance of breakfast eating behaviors with respect to health status, the associations between breakfast eating habits and healthy lifestyle, SHS require further elucidation. Methods: A cross-sectional survey was conducted within a clustered sample of 24,159 individuals aged 12-80 years in 2012-13 within the population of Southern China. Breakfast eating habits were categorically defined by consumption frequency ('scarcely, sometimes or always'). Health-promoting lifestyle was assessed via the health-promoting lifestyle profile (HPLP-II). SHS was evaluated using the medical examination report and Sub-health Measurement Scale V1.0 (SHMS V1.0).Results: Of the 24,159 participants, the prevalence rates for the 'health' , 'SHS' , and 'disease' were 18.8%, 46.0%, and 35.2%, respectively. Overall, 19.6% of participants reported 'scarce' breakfast eating habits, with frequent breakfast eaters scoring higher on both HPLP-II and SHMS V1.0. After demographic adjustment, regression analyses revealed a significant association between breakfast eating habits and healthy lifestyle (p <0.001). There were lower levels of breakfast consumption regularity amongst individuals with SHS than those with disease. Categorically 'scarce' breakfast eaters were approximately three times more likely to be assigned SHS (OR: 2.745, 95% CI: 2.468-3.053), while infrequent breakfast eaters ('sometimes') were just less than twice as likely to be assessed as being of SHS (OR: 1.731, 95% CI: 1.595-1.879). Conclusions: Breakfast eating habits are significantly associated with a healthy lifestyle, and appear to be a useful predictor of a healthy lifestyle. Irregular breakfast eating habits are related to an increased risk of SHS; increased breakfast eating frequency may contribute to lowering the prevalence of SHS in Southern China.

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Section: Breakfast Eating Habits and Shsmentioning

confidence: 99%

Associations between breakfast eating habits and health-promoting lifestyle, suboptimal health status in Southern China: a population based, cross sectional study

et al. 2014

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“…Disease-related knowledge refers to the basic understanding of the disease and relevant information about self-management, such as exercise, risk factor management, and dietary 7. Previous studies have proven that adequate disease-related knowledge can enhance patients’ awareness of existing risk factors and improve their adherence to healthy lifestyle, which may lead to better cardiovascular health 8,9…”

Section: Introductionmentioning

confidence: 99%

The Chinese version of the Coronary Artery Disease Education Questionnaire-II (CADEQ-II): translation and validation

Chen¹,

Geng²,

Wang³

et al. 2018

PPA

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ObjectivesIt is necessary to assess disease-related knowledge in patients with coronary artery disease (CAD) for tailored patient education; however there is a lack of a well-validated measurement in China. The objective of this study was to translate and validate a Chinese version of the Coronary Artery Disease Education Questionnaire-II (CADEQ-II).MethodsThe Chinese version of CADEQ-II was translated and culturally adapted. Then, it was tested for psychometric properties through a convenient sampling. Content validity was examined based on a panel of five experts. The item difficulty index and item discrimination index were calculated to assess the item difficulty and item discrimination. Internal consistency reliability was measured with the Cronbach’s alpha coefficient. Criterion-related validity was established through comparing scores in patients with different education levels. Construct validity was assessed through confirmatory factor analysis (CFA).ResultsThe Chinese version of the CADEQ-II was finalized after deleting three items and modifying two items from the original version. Three hundred and sixteen participants completed the whole questionnaire. Content validity index of the whole questionnaire was 0.87. The Cronbach’s alpha coefficient of the overall questionnaire was 0.907. The significant difference of the knowledge scores among patients with different education levels supported criterion-related validity. CFA confirmed the proposed four-factorial structure of the questionnaire.ConclusionThe Chinese version of CADEQ-II had an acceptable reliability and validity among Chinese patients with CAD. It could be used to develop individualized health education for Chinese patients with CAD. Also, it could serve as a suitable outcome measurement to evaluate the effectiveness of education interventions related to CAD.

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“…However, both the etiology and occurrence of SHS, and the factors that promote its development are still largely unknown. There are two categories of health measures: subjective measures (questionnaire: e.g., 36-item Short-Form Health Survey Questionnaire (SF-36) [10], Suboptimal Health Status Questionnaire-25 (SHSQ-25) [11,12], Sub-Health Measurement Scale V1.0 (SHMS V1.0) [5,6]) and objective measures (anthological-physiological and biochemical measures, e.g., blood pressure (BP), body mass index (BMI), C-reactive protein (CRP), low density lipoprotein (LDL)) [13,14]. Currently, the main clinical diagnostics for SHS rely on the subjective and scale assessment after the comprehensive physical examination excluding specific disease, and the objective measurements for SHS are still being explored [15].…”

Section: Introductionmentioning

confidence: 99%

“…SHS questionnaires have been developed and are widely used as diagnostic instruments of SHS in China. For instance, SHSQ-25 that encompasses five subscales regarding fatigue, cardiovascular system, digestive tract, immune system and mental status, are mainly focused on physiological and psychological SHS [11,12]. SHMS V1.0, however, is a multidimensional, self-report symptom inventory including physiological, psychological and social dimensions [16], which is highly in accordance with the understanding of health in the WHO definition.…”

Section: Introductionmentioning

confidence: 99%

The Role of Healthy Lifestyle in the Implementation of Regressing Suboptimal Health Status among College Students in China: A Nested Case-Control Study

Chen

Xiang

Jiang

et al. 2017

IJERPH

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Background: Suboptimal health status (SHS) is the intermediate health state between health and disease, it is medically undiagnosed and is also termed functional somatic syndrome. Although its clinical manifestations are complicated and various, SHS has not reached the disease status. Unhealthy lifestyle is associated with many chronic diseases and mortality. In accordance with the impact of lifestyle on health, it is intriguing to determine the association between unhealthy lifestyle and SHS risk. Methods: We conducted a nested case-control study among healthy Chinese college students from March 2012 to September 2013, which was nested in a prospective cohort of 5676 students. We performed 1:1 incidence density sampling with matched controls for birth year, sex, grade, specialty and individual character. SHS was evaluated using the medical examination report and Sub-health Measurement Scale V1.0 (SHMS V1.0). Exposure was defined as an unhealthy lifestyle per the frequency of six behavioral dimensions from the Health-promoting Lifestyle Profile (HPLP-II). Results: We matched 543 cases of SHS (42.66%) in a cohort of 1273 students during the 1.5 years mean follow-up time with controls. A significant difference (t = 9.79, p < 0.001) and a reduction in HPLP-II total score was present at 1.5 years follow-up (135.93 ± 17.65) compared to baseline (144.48 ± 18.66). A level-response effect was recorded with an increase of the total HPLP-II (every dimension was correlated with a decreased SHS risk). Compared to respondents with the least exposure (excellent level), those reporting a general HPLP-II level were approximately 2.3 times more likely to develop SHS (odd ratio = 2.333, 95% CI = 1.471 to 3.700); and those with less HPLP-II level (good level) were approximately 1.6 times more likely (1.644, 1.119–2.414) to develop SHS (p < 0.05). Our data indicated that unhealthy lifestyle behavior with respect to behavioral dimensions significantly affected SHS likelihood. Further analyses revealed a marked increase (average increased 14.73 points) in lifestyle level among those SHS regression to health after 1.5 years, with respect to the HPLP-II behavioral dimensions, in addition to the total score (t = −15.34, p < 0.001). Conclusions: SHS is highly attributable to unhealthy lifestyles, and the mitigation of modifiable lifestyle risk factors may lead to SHS regression. Increased efforts to modify unhealthy lifestyles are necessary to prevent SHS.

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Association of Suboptimal Health Status and Cardiovascular Risk Factors in Urban Chinese Workers

Cited by 104 publications

References 30 publications

Associations between breakfast eating habits and health-promoting lifestyle, suboptimal health status in Southern China: a population based, cross sectional study

Associations between breakfast eating habits and health-promoting lifestyle, suboptimal health status in Southern China: a population based, cross sectional study

The Chinese version of the Coronary Artery Disease Education Questionnaire-II (CADEQ-II): translation and validation

The Role of Healthy Lifestyle in the Implementation of Regressing Suboptimal Health Status among College Students in China: A Nested Case-Control Study

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