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      The relationship between self-rated health and objective health status: a population-based study

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          Abstract

          Background

          Self-rated health (SRH), a subjective assessment of health status, is extensively used in the public health field. However, whether SRH can reflect the objective health status is still debatable. We aim to reveal the relationship between SRH and objective health status in the general population.

          Methods

          We assessed the relationship between SRH and objective health status by examining the prevalence of diseases, laboratory parameters, and some health-related factors in different SRH groups. Data were collected from 18,000 residents randomly sampled from the general population in five cities of China (3,600 in each city). SRH was assessed by a single-item health measure with five options: “very good,” “good,” “fair,” “bad,” and “very bad.” The differences in prevalence of diseases, laboratory parameters, and health-related factors between the “healthy” (very good plus good), “relatively healthy” (fair), and “unhealthy” (bad plus very bad) groups were examined. The odds ratios (ORs) referenced by the healthy group were calculated using logistic regression analysis.

          Results

          The prevalence of all diseases was associated with poorer SRH. The tendency was more prominent in cardio-cerebral vascular diseases, visual impairment, and mental illnesses with larger ORs. Residents with abnormalities in laboratory parameters tended to have poorer SRH, with ORs ranging from 1.62 (for triglyceride) to 3.48 (for hemoglobin among men) in a comparison of the unhealthy and healthy groups. Most of the health-related factors regarded as risks were associated with poorer SRH. Among them, life and work pressure, poor spiritual status, and poor quality of interpersonal relationships were the most significant factors.

          Conclusions

          SRH is consistent with objective health status and can serve as a global measure of health status in the general population.

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          Most cited references41

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          Major causes of death among men and women in China.

          With China's rapid economic development, the disease burden may have changed in the country. We studied the major causes of death and modifiable risk factors in a nationally representative cohort of 169,871 men and women 40 years of age and older in China. Baseline data on the participants' demographic characteristics, medical history, lifestyle-related risk factors, blood pressure, and body weight were obtained in 1991 with the use of a standard protocol. The follow-up evaluation was conducted in 1999 and 2000, with a follow-up rate of 93.4 percent. We documented 20,033 deaths in 1,239,191 person-years of follow-up. The mortality from all causes was 1480.1 per 100,000 person-years among men and 1190.2 per 100,000 person-years among women. The five leading causes of death were malignant neoplasms (mortality, 374.1 per 100,000 person-years), diseases of the heart (319.1), cerebrovascular disease (310.5), accidents (54.0), and infectious diseases (50.5) among men and diseases of the heart (268.5), cerebrovascular disease (242.3), malignant neoplasms (214.1), pneumonia and influenza (45.9), and infectious diseases (35.3) among women. The multivariate-adjusted relative risk of death and the population attributable risk for preventable risk factors were as follows: hypertension, 1.48 (95 percent confidence interval, 1.44 to 1.53) and 11.7 percent, respectively; cigarette smoking, 1.23 (95 percent confidence interval, 1.18 to 1.27) and 7.9 percent; physical inactivity, 1.20 (95 percent confidence interval, 1.16 to 1.24) and 6.8 percent; and underweight (body-mass index [the weight in kilograms divided by the square of the height in meters] below 18.5), 1.47 (95 percent confidence interval, 1.42 to 1.53) and 5.2 percent. Vascular disease and cancer have become the leading causes of death among Chinese adults. Our findings suggest that control of hypertension, smoking cessation, increased physical activity, and improved nutrition should be important strategies for reducing the burden of premature death among adults in China. Copyright 2005 Massachusetts Medical Society.
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            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.
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              Socioeconomic conditions, lifestyle factors, and self-rated health among men and women in Sweden.

              Socioeconomic conditions and lifestyle factors have been found to be related to self-rated health, which is an established predictor of morbidity and mortality. Few studies, however, have investigated the independent effect of material and psychosocial conditions as well as lifestyle factors on self-rated health. The association between socioeconomic conditions, lifestyle factors, and self-rated health was investigated using a postal survey questionnaire sent to a random population sample of men and women aged 18-79 years during March-May 2000. The overall response rate was 65%. The area investigated covers 58 municipalities in the central part of Sweden. Multivariate odds ratios for poor self-rated health were calculated for a range of variables. A total of 36 048 subjects with full data were included in the analysis. Similar analyses of the influence of working conditions were conducted among those employed aged 18-64 years (17 820 subjects). The overall prevalence of poor self-rated health was 7% among men and 9% among women. Poor self-rated health was most common among persons who had been belittled, who had experienced economic hardship, who lacked social support, or who had retired early. A low educational level was independently associated with poor self-rated health among men, but not among women. Physically inactive as well as underweight and obese subjects were more likely to have poor self-rated health than other subjects. Working conditions associated with poor self-rated health were dissatisfaction with work, low job control and worry about losing one's job. While a cross-sectional study does not allow definite conclusions as to which factors are determinants and which are consequences of poor self-rated, the present findings support the notion that both psychosocial and material conditions as well as lifestyle factors are independently related with poor self-rated health.

                Author and article information

                Contributors
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central
                1471-2458
                2013
                9 April 2013
                : 13
                : 320
                Affiliations
                [1 ]Department of Health Statistics, Second Military Medical University, No.800 of XiangYin Road, Shanghai, 200433, China
                Article
                1471-2458-13-320
                10.1186/1471-2458-13-320
                3637052
                23570559
                2016f994-bab3-41fa-905b-9c03b5a2df57
                Copyright © 2013 Wu et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 24 September 2012
                : 1 April 2013
                Categories
                Research Article

                Public health
                self-rated health,health status,disease prevalence,laboratory parameters,health-related factors

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