Self-rated health of population in southern China: association with socio-demographic characteristics measured with multiple-item self-rated health measurement scale

Abstract Objective To explore the relationship between the self-reported health status, emotional coping style, emotional intelligence and positive psychological state of college students during the COVID-19 pandemic. Methods The questionnaires of Self-rated Health Measurement Scale (SRHMS), Emotional Intelligence Scale (EIS), Psychological Capital Questionnaire (PCQ), Simplified Coping Style Questionnaire (SCSQ)were used for online survey. The study included 367 undergraduates. Results Male undergraduates had significantly higher psychological capital scores than female (P < 0.05), and those without siblings had significantly higher emotional intelligence and psychological capital scores than those with (P < 0.05). The students from urban had significantly higher emotional intelligence scores than those from rural (P < 0.05). Students who spent less than 3 hours online per day had significantly higher self-rated health scores than those spending 6 hours online per day (P < 0.05), and those who spent 3–6 hours online per day was significantly higher psychological capital scores than those who spent more than 6 hours online per day (P < 0.05). The interaction between emotional intelligence, psychological capital and coping styles was statistically significant (β=-0.045,P < 0.05) in health status with coping style ranking the top (β = 21.277). Conclusion: Sex, having siblings or not, birth place and online time per day affected health status, emotional intelligence, and psychological capital in undergraduate students. Coping style is a main positive factor that affects health, which was modified by emotional intelligence and psychological capital. In this pandemic emergency, positive coping style with optimistic emotional perception and understanding is an important measure against the pandemic-induced health problem.

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Statistical methods used in the development of a health measurement scale

Journal of Family Planning and Reproductive Health Care ◽

10.1136/jfprhc-2012-100400 ◽

2012 ◽

Vol 38 (3) ◽

pp. 179-181 ◽

Cited By ~ 1

Author(s):

Pamela Warner

Keyword(s):

Statistical Methods ◽

Measurement Scale ◽

Health Measurement ◽

Health Measurement Scale

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Comparison of Self-Rated Health among Characteristic Groups of Vegetable Greenhouse Farmers Based on Exposure to Pesticide Residuals: A Latent Profile Analysis

BioMed Research International ◽

10.1155/2019/2518763 ◽

2019 ◽

Vol 2019 ◽

pp. 1-11

Author(s):

Jiangping Li ◽

Honghui Li ◽

Shulan He ◽

Min Xue ◽

Danian Tian ◽

...

Keyword(s):

Latent Profile Analysis ◽

Profile Analysis ◽

Negative Emotion ◽

Statistical Significance ◽

Health Department ◽

Measurement Scale ◽

Local Health ◽

Health Measurement ◽

Self Rated Health ◽

Latent Profile

Objective. The current study was aimed at using a latent profile analysis (LPA) model to classify greenhouse farmers into a potential cluster according to their exposure to pesticide residuals. Further, the association between self-rated health (SRH) and the cluster exposed to pesticide residual was explored. Methods. Four hundred sixty-four farmers from vegetable greenhouses were selected, their SRH information was gathered through questionnaires from the “Self-Rated Health Measurement Scale (SRHMS)” Version 1.0, and the corresponding pesticide residuals were detected in a laboratory. The linear mixed regression model was employed for association assessment. Results. Two latent clusters were extracted as samples, and the results showed that a high amount of pesticide residual accounted for poor physical health, but did not show statistical significance. In addition, an inverse significant association was observed between psychosocial symptoms and negative emotion and pesticide residual level. Furthermore, a diversity of significant relationship was observed in social health and its corresponding dimensions with latent cluster. Conclusions. LPA offers a holistic and parsimonious method to identify high-risk health clusters of greenhouse workers in various health aspects and allows for a personality-targeted intervention by a local health department.

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Gender differences in the association between body mass index and self-rated health among patients with hypertension: evidence from Rizhao City, China

10.21203/rs.2.20078/v1 ◽

2020 ◽

Author(s):

Zhiqiang Feng ◽

Longde Zhou ◽

Zixuan Zhao ◽

Changhai Tang ◽

Xingmin Chen ◽

...

Keyword(s):

Body Mass Index ◽

Gender Differences ◽

Body Mass ◽

Negative Impact ◽

Influential Factors ◽

Overweight And Obesity ◽

Measurement Scale ◽

Health Measurement ◽

Hypertensive Patients ◽

Self Rated Health

Abstract Objective: This study is designed to examine the association between body mass index (BMI) and self-related health (SRH), and to explore gender differences in BMI-SRH association among hypertensive patients further. Methods: The status of SRH in 1219 hypertensive patients over 18 years old was analyzed by the multi-item self-rated health measurement scale (SRHMS). Chi-square test and t-test were used to analyze BMI and SRHMS status of hypertensive patients, the logistic regression analysis was used to explore the association between BMI and SRHMS of male and female separately after controlling for potential confounders, and to assess gender differences on the relationship between BMI and SRHMS. Results: The prevalence of underweight in hypertensive patients was 1.6%, normal weight was 33.0%, overweight was 45.9%, and obese was 19.5%. And the SRHMS of very good, good, fair, bad, and very bad were 20.2, 15.4, 29.1, 12.5, and 22.8%, respectively. After controlling potential confounders, we found that underweight, overweight and obese had a negative impact on female's SRHMS. Underweight had a negative impact on male, but obesity had a positive impact on male's SRHMS. Besides, this study did not find that overweight had a statistically significant effect on male SRHMS. Conclusion: In this cross-sectional study, we found a gender differences on association between BMI and SRHMS among hypertensive patients. Overweight and obesity had a negative impact on female's SRHMS after adjusting for other influential factors, but not for male. Gender differences should be considered when developing weight and hypertension management programs, especially in women.

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Determinants of managers' self-rated health in Chinese petroleum-producing enterprises

10.21203/rs.2.18652/v1 ◽

2019 ◽

Author(s):

Paiyi Zhu ◽

Yong Zhang ◽

Jianwei Guo ◽

Peien Zhou ◽

Yixiang Huang ◽

...

Keyword(s):

Middle Age ◽

Age Groups ◽

Poor Mental Health ◽

Working Environment ◽

Measurement Scale ◽

Categorical Variables ◽

Lower Income ◽

Self Rated Health ◽

Daily Physical Activities ◽

Managerial Level

Abstract Background Self-rated health (SRH) is widely used by health institutions due to its validity, reliability, predicted power for mortality and morbidity and simplicity of collection. However, limited research has been conducted to measure the health and explore the determinants of SRH among managers, especially in petroleum enterprises in China. The purpose of this study was to measure the overall health and identify the determinants of SRH among managers in petroleum production enterprises in China. We committed to provide evidence to improve managers’ health status by exploring the determinants of SRH.Methods From March 2017 to December 2018, 417 managers participated and were categorized into different gender and age groups. The effective rate was 84.2%. The scores for physical, mental and social health subscales were converted to binary categorical variables, and univariate and multivariate logistic regression analyses were used to identify the determinants of SRH.Results The mean scores for SRH measurement scale (MS) dimensions ranged from 65.69 ± 18.13 (mean ± SD) for positive emotion (M2) to 91.81 ± 15.18 for daily physical activities (B2). The findings showed that lower-income and medium-managerial-level managers in the 41- to 50-year-old age group and lower-income male participants were more likely to be of poor mental health, while lower-income managers in the middle age groups and middle-aged female managers tended to report poor social health.Conclusions This study is the first in the Chinese energy industry to report on SRH and its determinants among managers stratified by age and gender. We found that income and managerial level are the main determinants among the managers, especially for those of middle age. Psychological counseling and a harmonious and mutually supportive working environment can contribute to addressing the special needs of managers in Chinese petroleum-producing enterprises.

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Athlete-Reported Outcome Measures for Monitoring Training Responses: A Systematic Review of Risk of Bias and Measurement Property Quality According to the COSMIN Guidelines

International Journal of Sports Physiology and Performance ◽

10.1123/ijspp.2020-0386 ◽

2020 ◽

Vol 15 (9) ◽

pp. 1203-1215

Author(s):

Annie C. Jeffries ◽

Lee Wallace ◽

Aaron J. Coutts ◽

Shaun J. McLaren ◽

Alan McCall ◽

...

Keyword(s):

Measurement Error ◽

Outcome Measures ◽

Content Validity ◽

Risk Of Bias ◽

Measurement Properties ◽

Health Measurement ◽

Level Of Evidence ◽

Multiple Item ◽

Monitoring Training

Background: Athlete-reported outcome measures (AROMs) are frequently used in research and practice but no studies have examined their psychometric properties. Objectives: Part 1—identify the most commonly used AROMs in sport for monitoring training responses; part 2—assess risk of bias, measurement properties, and level of evidence, based on the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) guidelines. Study Appraisal and Synthesis Methods: Methodological quality of the studies, quality of measurement properties, and level of evidence were determined using the COSMIN checklist and criteria. Results: Part 1—from 9446 articles screened for title and abstract, 310 out of 334 full texts were included; 53.9% of the AROMs contained multiple items, while 46.1% contained single items. Part 2—from 1895 articles screened for title and abstract, 71 were selected. Most measurement properties of multiple-item AROMs were adequate, but content validity and measurement error were inadequate. With the exclusion of 2 studies examining reliability and responsiveness, no validity studies were found for single items. Conclusions: The measurement properties of multiple-item AROMs derived from psychometrics were acceptable (with the exclusion of content validity and measurement error). The single-item AROMs most frequently used in sport science have not been validated. Additionally, nonvalidated modified versions of the originally nonvalidated items are common. Until proper validation studies are completed, all conclusions based on these AROMs are questionable. Established reference methods, such as those of clinimetrics, should be used to develop and assess the validity of AROMs.

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