Global self-rated health data from a longitudinal study predicted mortality better than comparative self-rated health in old age

BACKGROUND AND OBJECTIVE: Self-rated health (SRH) has proved to be a predictor of subsequent mortality in old age. This study examines if the different question wording in SRH questions influences the association of SRH with mortality. Two SRH measures are examined, an age group comparative question and a global question with no explicit point of reference. METHODS: The data are from the Tampere Longitudinal Study on Ageing, consisting 944 respondents aged 60-89 years. The association between mortality and self-rated health was studied at 5, 10, and 20 years follow-up using Cox proportional hazard models. RESULTS: As crude measures, global SRH was significantly associated with mortality after 5, 10, and 20 years follow-up, but the comparative SRH was not. After adjustment for age and several social and health indicators both SRH measures were associated with increased mortality risk even after 20 years of follow-up. CONCLUSIONS: Because the age-sensitivity of the comparative SRH the global SRH may be a more appropriate measure in studies where the study population has a large age range and also as a health measure in clinical settings.     

White blood cell count and risk for all-cause, cardiovascular, and cancer mortality in a cohort of Koreans

The authors conducted a 10-year prospective cohort study of mortality in relation to white blood cell counts of 437,454 Koreans, aged 40-95 years, who received health insurance from the National Health Insurance Corporation and were medically evaluated in 1993 or 1995, with white blood cell measurement. The main outcome measures were mortality from all causes, all cancers, and all atherosclerotic cardiovascular diseases (ASCVD). Hazard ratios and 95% confidence intervals were calculated using Cox proportional hazards models with adjustment for age and potential confounders. During follow-up, 48,757 deaths occurred, with 15,507 deaths from cancer and 11,676 from ASCVD. For men and women, white blood cell count was associated with all-cause mortality and ASCVD mortality but not with cancer mortality. In healthy nonsmokers, a graded association between a higher white blood cell count and a higher risk of ASCVD was observed in men (highest vs. lowest quintile: hazard ratio = 2.10, 95% confidence interval: 1.50, 2.94) and in women (hazard ratio = 1.35, 95% confidence interval: 1.17, 1.56). In healthy smokers, a graded association between a higher white blood cell count and a higher risk of ASCVD was also observed in men (highest vs. lowest quintile: hazard ratio = 1.46, 95% confidence interval: 1.25, 1.72). These findings indicate that the white blood cell count is an independent risk factor for all-cause mortality and for ASCVD mortality.     

Self-rated health and limiting longstanding illness: inter-relationships with morbidity in early adulthood.

BACKGROUND: Self-rated health and limiting longstanding illness are both widely used global measures of health, but understanding is poor of their meaning and validity at younger ages. METHODS: We examined the association between self-rated health and limiting longstanding illness and specific health problems at two ages (23 and 33 years), and assessed change over the 10-year period for each health measure relative to another. Longitudinal data were taken from the nationally representative British birth cohort for which health measures were obtained at ages 23 and 33. RESULTS: Self-rated health and limiting longstanding illness were strongly associated with each other as well as with specific health problems, particularly with serious conditions (e.g. epilepsy, cancer, diabetes) and more weakly with less serious conditions (e.g. eczema and hay fever). Rating of overall health and limiting longstanding illness was highly stable during the 10-year period with most, but not all, health change reflecting a deterioration in health status. Deterioration in limiting illness corresponded to an even greater health decline in specific conditions. CONCLUSIONS: Self-rated health and limiting longstanding illness are valid health measures appropriate for use in general health surveys.     

Neighborhood sociodemographic and environmental contexts and self-rated health among Brazilian adults: a multilevel study

The aim of this study was to investigate the association between sociodemographic and environmental contexts on self-rated health. A population-based cross-sectional study with a random sample of 38 neighborhoods (census tracts) and 1,100 adults was carried out. Data analysis used multilevel logistic regression. Data from the Brazilian Census of 2000, mean income, years of study of the head of household and mean number of residents per tract were R$955 (SD = 586), 8 years (SD = 3), and 746 residents (SD = 358) respectively. Higher prevalences of fair/poor self-rated health were found in neighborhoods with greater populations and lower income/schooling levels. After control for individual variables, the odds for fair/poor self-rated health was twice as high in more populous (OR = 2.04; 95%CI: 1.15-3.61) and lower-income neighborhoods (OR = 2.29; 95%CI: 1.16-4.50) compared to less populous, higher-income ones. Self-rated health depends on individual characteristics and the sociodemographic context of neighborhoods.     

Self-rated health and mortality in the NHANES-I Epidemiologic Follow-up Study.

The ability of self-rated health status to predict mortality was tested with data from the National Health and Nutrition Examination Survey (NHANES-I) Epidemiologic Follow-Up Study (NHEFS), conducted from 1971-84. The sample consists of adult NHANES-I respondents ages 25-74 years (N = 6,440) for whom data from a comprehensive physical examination at the initial interview and survival status at follow-up are available. Self-rated health consists of the response to the single item, "Would you say your health in general is excellent, very good, good, fair, or poor?" Proportional hazards analyses indicated that, net of its association with medical diagnoses given in the physical examination, demographic factors, and health related behaviors, self-rated health at Time 1 is associated with mortality over the 12-year follow-up period among middle-aged males, but not among elderly males or females of any age.     

Associations between the Nutrient Profiling System Underlying the Nutri-Score Nutrition Label and Biomarkers of Chronic Low-Grade Inflammation: A Cross-Sectional Analysis of a Middle- to Older-Aged Population

Low-grade systemic inflammation is associated with a range of conditions. Diet may modulate inflammation and public health strategies are needed to guide consumers’ dietary choices and help prevent diet-related disease. The Food Standards Agency nutrient profiling system (FSAm-NPS) constitutes the basis of the five-colour front-of-pack Nutri-Score labelling system. No study to date has examined FSAm-NPS dietary index associations with biomarkers of inflammation. Therefore, our objective was to test relationships between the FSAm-NPS and a range of inflammatory biomarkers in a cross-sectional sample of 2006 men and women aged 46–73 years. Individual participant FSAm-NPS scores were derived from food frequency questionnaires. Pro-inflammatory cytokine, adipocytokine, acute-phase response protein, coagulation factor and white blood cell count concentrations were determined. Correlation and linear regression analyses were used to examine FSAm-NPS relationships with biomarker levels. In crude and adjusted analyses, higher FSAm-NPS scores, reflecting poorer nutritional quality, were consistently and positively associated with biomarkers. In fully adjusted models, significant associations with concentrations of complement component 3, c-reactive protein, interleukin 6, tumour necrosis factor alpha, resistin, white blood cell count, neutrophils, eosinophils and the neutrophil-to-lymphocyte ratio persisted. These results suggest that dietary quality, determined by Nutri-Score rating, is associated with inflammatory biomarkers related to health.     

Dichotomous or categorical response? Analysing self-rated health and lifetime social class

BACKGROUND: Self-rated health is a commonly used measure of health status, usually having three to five categories. The measure is often collapsed into a dichotomous variable of good versus less than good health. This categorization has not yet been justified. METHODS: Using data from the 1958 British birth cohort, we examined the relationship between socioeconomic conditions, indicated by occupational class at four ages, and self-rated health. Results obtained for a dichotomous variable using logistic regression were compared with alternative methods for ordered categorical variables including polytomous regression, cumulative odds, continuation ratio and adjacent categories models. RESULTS AND CONCLUSIONS: Findings concerning the relationship between socioeconomic position and self-rated health yielded by a logistic regression model were confirmed by alternative statistical methods which incorporate the ordered nature of self-rated health. Similarity of results was found regarding size and significance of main effects, type of association and interactive effects.     

The contribution of self-rated health and depressive symptoms to disability severity as a predictor of 10-year mortality in European elderly men

OBJECTIVES: To investigate the effect of disability severity and the contribution of self-rated health and depressive symptoms to 10-year mortality. METHODS: Longitudinal data were collected from 1141 men aged 70 to 89 years from the Finland, Italy, and the Netherlands Elderly Study from 1990 to 2000. Disability severity was classified into 4 categories: no disability, instrumental activities, mobility, and basic activities of daily living. Self-rated health and depressive symptoms were classified into 2 and 3 categories, respectively. Multivariate Cox proportional hazard models were used to calculate mortality risks. RESULTS: Men with severe disability had a risk of mortality that was more than 2-fold higher (hazard ratio [HR]=2.41; 95% confidence interval [CI]=1.84, 3.16) than that of men without disability. Men who had severe disability and did not feel healthy had the highest mortality risk (HR = 3.30; 95% CI = 2.52, 4.33). This risk was lower at lower levels of disability and higher levels of self-rated health. The same trend was observed for depressive symptoms. CONCLUSIONS: For adequate prognoses on mortality or for developing intervention strategies, not only physical aspects of health but also other health outcomes should be taken into account.     

Self-rated health in adolescence: a multifactorial composite

BACKGROUND AND AIMS: Self-rated health is an important health predictor, and it has only rarely been studied in adolescents. This study examined the relationships between self-rated health and a broad spectrum of structural, medical, psychological, and social variables. The association between these variables and negative health rating through to good health rating versus good to very good health rating was also compared. METHODS: Analyses were based on cross-sectional data from the Young-HUNT II study in Norway. A total of 2,800 students aged 16 to 20 years participated, with a response rate of 81%. Separate logistic regression analyses for each gender were performed for a broad set of independent variables with self-rated health as the dependent variable. The effect of the variables at the negative (poor/not good) and positive (very good) ends of the scale were estimated and compared. RESULTS: Self-rated health in adolescence was significantly associated with a broad spectrum of independent variables reflecting medical, social, and personal factors. The associations were also present in multivariate analyses controlling for the interrelations between the independent variables. The negative and positive ends of the scale were affected in much the same way. The association with general well-being was especially strong. CONCLUSIONS: Adolescents conceptualize health as a construct related to medical, psychological, social, and lifestyle factors. Positive rating of health was affected in a similar manner to negative rating. However, the absolute importance of hampering positive health may be greater because of the higher prevalence of such health ratings.     

Impact of Social Position on the Effect of Cardiovascular Risk Factors on Self-Rated Health

Objectives. We assessed the impact of education level on the association between self-rated health and cardiovascular risk factors (blood pressure, glycosylated hemoglobin level, and total cholesterol and triglyceride levels).Methods. We used data from the National Health and Nutrition Examination Survey for the years 2001 through 2004 (4015 men and 4066 women). Multivariate analyses were performed with a logistic regression model.Results. After adjustment for age and ethnicity, among women with high glycosylated hemoglobin levels, the most-educated women had poorer self-rated health compared with the least-educated women (odds ratio [OR] = 4.61; 95% confidence interval [CI] = 2.90, 7.34 vs OR = 2.59; 95% CI = 1.60, 4.20, respectively; interaction test, P = 0.06). The same was true among women with high cholesterol levels (OR = 2.23; 95% CI = 1.40, 3.56 vs OR = 1.13; 95% CI = 0.85, 1.49, respectively; interaction test, P = 0.06). Among men, the impact of education level on the association between self-rated health and any cardiovascular risk factors (measured or self-reported) was not significant.Conclusions. The impact of cardiovascular risk factors on self-rated health was higher for highly educated women, which could lead to underestimation of health inequalities between socioeconomic groups when self-rated health is used as an indicator of objective health.Self-rated health is a useful measure of health status because it is a consistent predictor of mortality, is easy for researchers to use, and refers to a broad, multidimensional definition of health.¹ As a result, it is commonly used to study social inequalities in health²; however, this use can be problematic. The way people rate their health depends on their expectations of what their health should be, which in turn may be associated with their socioeconomic status. In many instances, researchers have reported that people are more likely to compare themselves with people they are socially similar to.^3,4 Studies have reported that socially advantaged groups might have higher expectations about their quality of life and health⁵; they may therefore feel that a particular illness has a greater negative impact on their health than do less socially advantaged people, for whom expectations are lower.This phenomenon could lead to an underestimation of the health inequalities that exist between socioeconomic groups when self-rated health is used as an indicator of health. In a study comparing socioeconomic inequalities in health across 22 European countries, Mackenbach et al. showed that although the relative index of inequality (defined as the ratio of the estimated mortality or morbidity prevalence among people with the lowest education level to that among people with the highest education level, where education level is a proxy for socioeconomic status) was greater than 1 for both mortality and self-assessed health, it was higher for mortality (almost 2.2 for men and 1.8 for women) than for self-reported health (only about 1.4 for both men and women).⁶ When mortality rather than self-assessed health was used as the outcome, the magnitude of the variations in the index of inequality across countries was also higher.Three recent reports have shown some evidence for a modifying effect of socioeconomic status on the relationship between self-rated health and mortality.^7–9 Studies on this topic are still uncommon,¹⁰ however, and to our knowledge, little work has investigated how socioeconomic status might modify the association between objective health status and self-rated health. One of the main challenges in conducting this kind of study is the definition and measure of “objective” health status, which is frequently measured from self-reports—making health status not truly objective—and is potentially influenced by how questions are answered in the same way as self-rated health.¹¹We assessed the overall impact of level of education on the link between self-rated health and health status as evaluated by biological indicators (blood pressure, glycosylated hemoglobin level, and cholesterol and triglyceride levels) in a representative sample of the noninstitutionalized US population.     

The Influence of the Common Cold on Self-Rated Health: A Population-Based Study

ObjectiveStudies on the association between self-rated health and acute conditions are sparse. The aim of this study was to examine whether individuals respond to acute conditions (such as the common cold) in health ratings as well as the effect of chronic conditions (using the Charlson comorbidity score) on self-rated health.MethodsThe national representative survey data was linked with the claims data from the Taiwan National Health Insurance for 13,723 adults ≥ 18 years. Ordered logistic regressions with fractional polynomials were estimated to determine the relationship between the frequency of common cold episodes and the Charlson comorbidity score on self-rated health. The interactions between these two variables and the baseline age were tested.ResultsSelf-rated health worsens with the increased frequency of both common cold episodes and the Charlson comorbidity score. Both variables have a non-linear relationship with self-rated health. Younger individuals put heavier weight on acute health conditions than their older counterparts.ConclusionIndividuals respond to questions regarding their self-rated health based on their acute health condition along with chronic condition. Thus the information on self-rated health depends on the timing the information is collected, and whether at that time the individual experienced acute health conditions or not.     

老年人自评健康的预测因素、贡献程度及群体差异

自评健康（Self-rated health,SRH）是学术研究中广泛应用的健康测量指标。自评健康指标更偏向于代表哪一方面的状况,不同年龄、性别群体是否存在差异,这都是在分析学术研究成果时需要谨防的偏误。本研究在文献基础上构建出老年健康自评决策过程下的概念框架,利用CLASS数据,通过有序多变量logistic回归分析各影响因素的显著性以及性别、年龄的异质性,然后基于优势分析对比全样本、不同性别、年龄样本中影响因素的贡献度。研究结果显示：无论哪个样本,同龄健康比较与往年健康比较贡献程度最高;随着年龄增长,身体功能因素的贡献度减弱,心理健康因素的贡献度增强。本研究主要梳理出老年人自评健康的概念框架,挖掘出老年人自评健康主要代表老年人哪一方面的状况,对未来老年人自评健康研究有一定的借鉴意义。     

What is self-rated health and why does it predict mortality? Towards a unified conceptual model

The association of self-rated health with mortality is well established but poorly understood. This paper provides new insights into self-rated health that help integrate information from different disciplines, both social and biological, into one unified conceptual framework. It proposes, first, a model describing the health assessment process to show how self-rated health can reflect the states of the human body and mind. Here, an analytic distinction is made between the different types of information on which people base their health assessments and the contextual frameworks in which this information is evaluated and summarized. The model helps us understand why self-ratings of health may be modified by age or culture, but still be a valid measure of health status. Second, based on the proposed model, the paper examines the association of self-rated health with mortality. The key question is, what do people know and how do they know what they know that makes self-rated health such an inclusive and universal predictor of the most absolute biological event, death. The focus is on the social and biological pathways that mediate information from the human organism to individual consciousness, thus incorporating that information into self-ratings of health. A unique source of information is provided by the bodily sensations that are directly available only to the individual him- or herself. According to recent findings in human biology, these sensations may reflect important physiological dysregulations, such as inflammatory processes. Third, the paper discusses the advantages and limitations of self-rated health as a measure of health in research and clinical practice. Future research should investigate both the logics that govern people's reasoning about their health and the physiological processes that underlie bodily feelings and sensations. Self-rated health lies at the cross-roads of culture and biology, therefore a collaborative effort between different disciplines can only improve our understanding of this key measure of health status.     

The Association Between Women's Self-Rated Health and Satisfaction with Environmental Services in an Underserved Community in Lebanon

This research evaluated the association between women's self-rated health and a number of socioeconomic and environmental health indicators relating to drinking water services in an underserved Lebanese community. A population-based, cross-sectional survey using interviews was adopted to obtain information from female homemakers of 2,223 households in the town of Bebnine, Lebanon. The questionnaire included indicators on self-rated health, satisfaction with water quality, source of drinking water, occurrence of diarrhea, and socioeconomic variables, such as education, occupation, and perceived economic status. Self-rated health was categorized as poor, fair, and good. Odds ratios for poor and fair compared to good self-rated health values were calculated using multinomial logistic regression. A total of 712 women (32%) reported poor self-rated health. Women who perceived their household income to be worse than others in town were four times as likely to report poor health. Compared to women who were satisfied with drinking water quality, dissatisfied women were 42% more likely to report poor health. Women living in households reporting recent episodes of diarrheal illness had poorer health ratings than those without. The findings suggest a positive relationship between individual perceptions of water quality and self-rated health. Community concerns over their surrounding environment serve as a primary guide for infrastructural development and government policy.     

Determinants of Poor Self-rated Health in Korean Adults With Diabetes

Objectives:

Self-rated health is a measure of perceived health widely used in epidemiological studies. Our study investigated the determinants of poor self-rated health in middle-aged Korean adults with diabetes.

Methods:

A cross-sectional study was conducted based on the Health Examinees Study. A total of 9759 adults aged 40 to 69 years who reported having physician-diagnosed diabetes were analyzed with regard to a range of health determinants, including sociodemographic, lifestyle, psychosocial, and physical variables, in association with self-rated health status using multivariate logistic regression models. A p-value <0.05 was considered to indicate statistical significance.

Results:

We found that negative psychosocial conditions, including frequent stress events and severe distress according to the psychosocial well-being index, were most strongly associated with poor self-rated health (odds ratio [OR]_{Frequent stress events}, 5.40; 95% confidence interval [CI], 4.63 to 6.29; OR_{Severe distress}, 11.08; 95% CI, 8.77 to 14.00). Moreover, younger age and being underweight or obese were shown to be associated with poor self-rated health. Physical factors relating to participants’ medical history of diabetes, such as a younger age at diagnosis, a longer duration of diabetes, insulin therapy, hemoglobin A_1clevels of 6.5% or more, and comorbidities, were other correlates of poor reported health.

Conclusions:

Our findings suggest that, in addition to medical variables, unfavorable socioeconomic factors, and adverse lifestyle behaviors, younger age, being underweight or obese, and psychosocial stress could be distinc factors in predicting negative perceived health status in Korean adults with diabetes.     

Education and health in 22 European countries

This study investigates educational health inequalities in 22 European countries. Moreover, age and gender differences in the association between education and health are analysed. The study uses data from the European Social Survey 2003. Probability sampling from all private residents aged 15 years and older was applied in all countries. The European Social Survey includes 42,359 cases. Persons under age 25 were excluded to minimise the number of respondents whose education was not complete. Education was coded according to the International Standard Classification of Education. Self-rated health and functional limitations were used as health indicators. Results of multiple logistic regression analyses show that people with low education (lower secondary or less) have elevated risks of poor self-rated health and functional limitations. Inequalities are relatively small in Austria, Norway, Sweden, and the United Kingdom, large inequalities were found for Hungary, Poland, and Portugal. Analyses of age differences reveal that health effects of education are stronger at ages 25-55 than in the higher age groups. However, age differences in the education-health association vary between countries, sexes, and health indicators. In conclusion, our results confirm that educational inequalities in health are a generalised though not invariant phenomenon. Variations between countries, sexes and health indicators might be one explanation for the inconsistent results of other studies on age differences in the association between socioeconomic position and health.     

Self-rated health and its relation to all-cause and cardiovascular mortality in southern Germany. Results from the MONICA Augsburg cohort study 1984-1995

PURPOSE: Studies worldwide show that self-rated health (SRH) is a robust predictor of mortality among the elderly. Only few studies have focussed on a middle-aged population and no such study has been reported from Germany. This study examined the association between SRH and mortality in a middle-aged, population based cohort from Germany, using data from the MONICA (Monitoring Trends and Determinants in Cardiovascular Diseases) Augsburg project. METHODS: The cohort comprises 1521 men and 1498 women aged 35-64; they were followed over 11 years from 1984-1995. Participants provided extensive data on medical conditions and cardiovascular risk factors through interviews and examinations. SRH was assessed globally and in comparison to those of the same age. We estimated relative hazards for mortality from all-causes and cardiovascular disease according to self-ratings of health. RESULTS: Among males the adjusted hazards rate ratio (HRR) of mortality from all-causes was 1.5 (95% CI 1.1-2.2) for combined fair/poor perceived health compared with good/excellent health. Women with fair/poor ratings had no increased risk of dying (HRR = 1.1, 95% CI 0.7-1.9). Men who perceived worse health than persons of the same age showed an adjusted HRR of 1.7 (95% CI 1.0-2.9) as compared to those perceiving better health; in women the adjusted HRR was 1.9 (95% CI 1.0-3.7). The adjusted hazards for dying from cardiovascular diseases in men were 1.3 (95% CI 0.8-2.1) for those perceiving fair/poor and 1.7 (95% CI 0.7-3.7) for those perceiving worse health. CONCLUSIONS: Self-rated health was a predictor of mortality in a middle-aged German population and contains information that is not entirely reflected in underlying medical conditions and risk factors. Self-assessments of health in comparison to individuals of the same age were stronger and more consistently associated with mortality. Global self-ratings of health and self-ratings in comparison to those of the same age may measure slightly different dimensions and the effect of self-rated health may differ among men and women.     

Income inequality and health in Ontario: a multilevel analysis

OBJECTIVE: To examine the association of income inequality at the public health unit level with individual health status in Ontario. METHODS: Cross-sectional multilevel study carried out among subjects aged 25 years or older residing in 42 public health units in Ontario. Individual-level data drawn from 30,939 respondents in 1996-97 Ontario Health Survey. Median area income and income inequality (Gini coefficient) calculated from 1996 census. Self-rated health status (SRH) and Health Utilities Index (HUI-3) scores were used as main outcomes. RESULTS: Controlling for individual-level factors including income, respondents living in public health units in the highest tercile of income inequality had odds ratios of 1.20 (95% CI 1.04 - 1.38) for fair/poor self-rated health, and 1.11 (95% CI 1.01 - 1.22) for HUI score below the median, compared with people living in public health units in the lowest tercile. Controlling further for median area income had little effect on the association. CONCLUSION: Income inequality was significantly associated with individual self-reported health status at public health unit level in Ontario, independent of individual income.     

Survival, functional limitations, and self-rated health in the NHANES I Epidemiologic Follow-up Study, 1992. First National Health and Nutrition Examination Survey

This study examined relative hazards for mortality and functional limitations according to poor self-ratings of health using prospective data from the NHANES I Epidemiologic Follow-up Study, a representative sample of US adults aged 25-74 years that has been followed since the First National Health and Nutrition Examination Survey (NHANES I) was conducted in 1971-1975. Follow-up data were taken from death records and from the 1982 and 1992 reinterviews. Respondents (n = 6,913) provided extensive baseline data through physician examinations, laboratory testing, and self-reports of conditions, symptoms, and risk behaviors. Functional limitations were assessed among survivors in 1982 and 1992. Cox regression models accounting for sample design indicated that baseline self-rated health was associated with a significantly reduced hazard of mortality for males but not for females through 1992; adjusted hazards ratios for excellent health as compared with poor health were 0.52 for males (95% confidence interval: 0.36, 0.73) and 0.80 for females (95% confidence interval: 0.51, 1.23). Self-rated health also predicted 1982 and 1992 functional limitation for both men and women and 1992 function net of 1982 function for men only. Self-rated health contributes unique information to epidemiologic studies that is not captured by standard clinical assessments or self-reported histories, but evidence suggests that the effect may be stronger for men than for women.     

医学生睡眠质量与自测健康状况的相关研究

目的研究某医学院校大学生的睡眠质量及自测健康状况,探讨两者的相关关系。方法采用匹兹堡睡眠质量指数(PSQI)量表和自测健康评定量表(SRHMS)对在校本科医学生进行分层抽样调查。PSQI与SRHMS得分之间行Pearson相关分析。结果 1547名医学生PSQI总分平均为(6.22±2.36)分,其中27.4%有睡眠质量问题;SRHMS总分平均为(73.48±9.50)分,男女生PSQI及SRHMS总分差异均无统计学意义,但生理健康、社会健康子量表得分男女差异有统计学意义(P﹤0.05);大三年级学生睡眠质量和自测健康状况均最差,而大二年级学生自测健康状况最好。PSQI与SRHMS得分呈负相关关系(P﹤0.001),PSQI得分越高,自测健康状况越差。结论医学生的睡眠问题值得重视,睡眠质量对其健康状况有着重要影响,应采取综合措施通过改善睡眠质量来促进身心健康发展。