Significant Predictor Of Self-rated Health Research Articles

Personality Traits Predict Self-Rated Health (SRH) in Coronary Heart Disease (CHD) Patients and Healthy Controls.

The objective of the present study is to examine the association between Big Five personality traits and self-rated health (SRH) among individuals with coronary heart disease (CHD), and to compare this relationship with that of healthy control participants, which is of importance as SRH can be a determinant of outcomes. The current study used data from 566 participants with CHD with a mean age of 63.00 (S.D. = 15.23) years old (61.13% males) and 8608 age- and sex-matched healthy controls with a mean age of 63.87 (S.D.= 9.60) years old (61.93% males) from the UKHLS. The current study used predictive normative modelling approaches, one-sample t tests, a hierarchical regression, and two multiple regressions. The current study found that CHD patients have significantly lower Conscientiousness (t(565) = -3.84, p < 0.001, 95% C.I. [-0.28, -0.09], Cohen's d = -0.16) and SRH (t(565) = -13.83, p < 0.001, 95% C.I. [-0.68, -0.51], and Cohen's d = -0.58) scores compared to age and sex-matched healthy controls. Moreover, health status (controls vs. CHD patients) moderated the links between Neuroticism, Extraversion and SRH. Specifically, Neuroticism (b = -0.03, p < 0.01, 95% C.I. [-0.04, -0.01]), Openness (b = 0.04, p < 0.001, 95% C.I. [0.02, 0.06]), and Conscientiousness (b = 0.08, p < 0.001, 95% C.I. [0.06, 0.10]) were significant predictors of SRH in healthy controls, whereas Conscientiousness (b = 0.08, p < 0.05, 95% C.I. [0.01, 0.16]) and Extraversion (b = -0.09, p < 0.01, 95% C.I. [-0.15, -0.02]) were significant predictors of SRH in CHD patients. Based on the close associations between personality traits and SRH, and the subsequent impact on patient outcomes, the results of this study should be taken into consideration by clinicians and health professionals when developing tailored treatment and intervention programs for their patients.

Personality predicts self-rated health: considering age differences.

Self-rated health (SRH) refers to the subjective evaluation of one's own health. Big Five personality traits including Neuroticism, Agreeableness, Openness, Conscientiousness, and Extraversion have been consistently found as significant predictors of SRH. In addition, SRH declines with age, and personality traits change with age. Thus, it is reasonable to speculate that age might moderate the associations between personality traits and SRH. The current study analyzed data from 33,256 participants with a mean age of 45.78 years old and 55.92% females. The current study found that age significantly moderates the associations between Agreeableness, Openness, and Conscientiousness and SRH after controlling for demographic covariates. The current study implies that personality traits relate to SRH differently at different ages. Thus, studies regarding the associations between personality traits and SRH must take the interactions between age and personality traits into account.

Does the association between religiosity, spirituality and self-rated health change with religious affiliations? Evidence from an Indian large-scale survey

ABSTRACT The rapid growth of the elderly in India has raised research questions about their quality of life, health, and social support. The current study aims to understand the factors influencing older adults’ self-rated health (SRH), focusing on religiosity and spirituality in India. The present study used data from India’s Longitudinal Ageing Study’s first wave (LASI), 2017–18. The levels of poor SRH decreased with an increasing degree of religious and spiritual participation. In the present study, religious attendance was a significant predictor of SRH among Christians, Muslims, and Hindus. Spirituality was found to be a significant predictor of SRH only among Hindus. Besides [prayer, participation in religious services and mediation], age, sex, place of residence, level of education, daily living activities, and chronic illness status were significant predictors of SRH. The current study also showed that older people have a significantly high incidence of poor SRH, regardless of their spiritual and religious backgrounds. There is a need to focus on elderly-friendly health and social care policies and programs considering socio-cultural aspects to minimize the burden of poor SRH.

Evaluation of Health Behaviors and Self-rated Health Among Chinese Healthcare Students.

Most of undergraduate healthcare students will become future health professionals committing to promoting people's health in practice. They often service as coaches to improve clients' healthy lifestyle behaviors. However, relatively little is known about their health behaviors and health status. The study was conducted to investigate health behaviors and health status among undergraduate healthcare students and the associated factors in China by drawing an ecological perspective. A total of 430 students aged 18-20 years participated in the study between October 2017 and March 2018. Questionnaires on health behavior, health status, peer influence, family environment, and social support were employed. Overall, the healthcare students reported poor health behaviors and an intermediate level of health status. Regression analyses indicate that peers and family environment were significant predictors of health behavior, yet only explained 6.7% of the variance. Social support was the most significant predictor of self-rated health, followed by family environment, health behavior and peers, which together explained 31.5% of the total variance. Peers and social support were the major predictors of health behavior and health status compared to demographics among undergraduate healthcare students. Intervention targeting the predictive factors is needed to improve healthcare students' health.

Measuring successful aging: an exploratory factor analysis of the InCHIANTI Study into different health domains

Advocating continued health into old age, so called successful aging, is a growing public health goal. However, the development of tools to measure aging is limited by the lack of appropriate outcome measures, and operational definitions of successful aging. Using exploratory factor analysis, we attempted to identify distinguishable health domains with representative variables of physical function, cognitive status, social interactions, psychological status, blood biomarkers, disease history, and socioeconomic status from the InCHIANTI study. We then used logistic and mixed effect regression models to determine whether the resulting domains predicted outcomes of successful aging over a nine-year follow-up. A four-domain health model was identified: neuro-sensory function, muscle function, cardio-metabolic function and adiposity. After adjustment for age and gender, all domains contributed to the prediction of walking speed (R2=0.73). Only the muscle function domain predicted dependency (R2=0.50). None of the domains were a strong, significant predictor of self-rated health (R2=0.18) and emotional vitality (R2=0.23). Cross-sectional findings were essentially replicated in the longitudinal analysis extended to nine-year follow-up. Our results suggest a multi-domain health model can predict objective but not subjective measures of successful aging.

Self-rated health among older adults in two fast ageing European countries: Evidence from Italy and Serbia

Background/Aim. Self-rated health (SRH) is a widely adopted tool to compare health across countries. Relationships of socio-demographics with SRH in later life have been extensively cross-nationally observed. However, cross-comparisons of the effects of health behaviors (i.e., eating habits, smoking, and alcohol consumption) and health status (i.e., chronic diseases) on SRH are less frequent. Our aim was to examine SRH differences between older adults in Italy and Serbia and to observe the role of predictors of SRH particularly referring to health behaviors in both countries. Methods. Two samples of 4,406 Italians and 3,539 Serbs aged 65 and older were extracted from national health surveys conducted in 2013. For this secondary analysis, SRH, sociodemographics, health status variables, and health behavior factors were selected. In the multivariate logistic regression models, SRH was the dependent variable while the selected independent predictors were socio-demographics, characteristics related to health status and to health behavior. Results. Both Italians (30.3%) and Serbs (22.3%) reported lower values of good- or very good-SRH than the European average (36.9%). The logistic regressions showed that Serbs reported poor?SRH significantly more often than Italians. Moreover, gender, education level, chronic diseases, and daily life limitations resulted as significant predictors of SRH in both national samples. In addition, vegetables intake was positively associate to SRH among Italians, while among Serbs an adequate fruits intake was positively associated to SRH. Conclusion. Health behavior and health status factors are associated with better SRH in the population aged 65 and older. The effects differ between countries. It is essential that decision-makers of the implementation of international preventive strategies take into account the specific characteristics of countries in the organization of interventions for the aged population.

The Impact of Adverse Childhood Experiences on Health in College Students

Adverse Childhood Experiences (ACEs) are linked to poor adult health (Felitti et al. American Journal of Preventive Medicine, 14(4), 245–258, 1998; Brown et al. BMC Public Health, 10, 20, 2010). Research on ACEs exposure in college students is lacking. This study examined the impact of ACEs, health risk behaviors, and resiliency factors on objective and subjective measures of health in college students. ACEs and health risk behaviors emerged as significant predictors of health problems. However, when resiliency factors were accounted for, gender and life satisfaction were the only significant predictors of health problems. Likewise, ACEs score and health risk behaviors emerged as significant predictors of self-rated health. However, when resiliency factors were accounted for, gender, social support, and affect were the only significant predictors of self-rated health. Life satisfaction mediated the relationship between ACE score and health problems. Findings suggest that ACEs exposure has a lasting impact on health. The ability of resiliency factors to predict health has important implications for working with college students.

Impact of Coal Mining on Self-Rated Health among Appalachian Residents.

Objective. To determine the impact of coal mining, measured as the number of coal mining-related facilities nearby one's residence or employment in an occupation directly related to coal mining, on self-rated health in Appalachia. Methods. Unadjusted and adjusted ordinal logistic regression models calculated odds ratio estimates and associated 95% confidence intervals for the probability of having an excellent self-rated health response versus another response. Covariates considered in the analyses included number of coal mining-related facilities nearby one's residence and employment in an occupation directly related to coal mining, as well as potential confounders age, sex, BMI, smoking status, income, and education. Results. The number of coal mining facilities near the respondent's residence was not a statistically significant predictor of self-rated health. Employment in a coal-related occupation was a statistically significant predictor of self-rated health univariably; however, after adjusting for potential confounders, it was no longer a significant predictor. Conclusions. Self-rated health does not seem to be associated with residential proximity to coal mining facilities or employment in the coal industry. Future research should consider additional measures for the impact of coal mining.

Poor mental health in severely obese patients is not explained by the presence of comorbidities.

The prevalence of obesity, especially severe obesity where body mass index (BMI) exceeds 40 kg m(-2) and where the physical risks are greatest, is increasing. However, little is known about the impact of severe obesity on psychological well-being and self-rated health (SRH). We aimed to investigate this relationship in patients attending an Irish weight management clinic. SRH was measured with a single-item inventory (excellent = 1, poor = 5). Well-being was measured with the validated World Health Organization-Five Well-being Index (WHO-5), in which scores <13 indicate poor well-being. Previous studies of the Irish population have reported mean SRH = 2.56 (males) and 2.53 (females) and mean well-being = 16.96. One hundred eighty-two (46.8%) completed questionnaires were returned. The sample was representative of the clinic population with a mean age of 47.1, mean baseline BMI of 51.9 kg m(-2) and 64.3% females. Mean SRH was 3.73 in males and 3.30 in females; mean well-being was 10.27 in males and 10.52 in females. In the final multivariable models, number of medications, depression and obstructive sleep apnoea, WHO-5 and current BMI were significant predictors of SRH, and secondary level education, social support and mindfulness scores were significant predictors of psychological well-being. Number of medications was not significant. The results suggest that the poor psychological well-being seen is not explained by the presence of comorbidities and that social support and mindfulness may be important targets for improving psychological well-being. Improving psychological well-being in addition to weight loss and effective management of comorbidities may be important for improving SRH.

Racial/Ethnic Differences in Predictors of Self-Rated Health

The present study examined how self-rated health was influenced by sociodemographic characteristics, physical health indicators, and sociocultural resources among four racial/ethnic groups of older adults. The data source was the Survey of Older Floridians, a statewide sample of Whites ( n = 503), African Americans ( n = 360), Cubans ( n = 328), and non-Cuban Hispanics ( n = 241) who were age 65 and older. Hierarchical regression models of self-rated health were estimated to explore the direct effects of the predictor variables as well as their interactive roles in each racial/ethnic group. Compared to Whites, racial/ethnic minority older adults rated their health more poorly. Although physical health indicators were significant predictors of self-rated health across all groups, the authors found group-specific predictors and interactions. Findings show similarities and differences in predictors of self-rated health across diverse racial/ethnic groups and suggest the importance of understanding group-specific factors in efforts to improve older adults’ perceived and actual health.

Older Women and Lower Self-Rated Health

Several studies have found that older women report lower self-rated health than men. However, it is not clear why older women are more likely to report poor self-rated health than older men. Data for this study came from a national cross-sectional survey, Mental Health and Quality of Life of Older Malaysians (MHQoLOM). Included in the survey were 2980 respondents consisting of Malaysians aged 60 years and over, with both men (n = 1428) and women (n = 1552) represented. Results of t-tests showed older men expressed significantly higher levels of self-rated health and self-esteem than women (p < .01). Separate multivariate regression by gender revealed that age, life-threatening problems, and self-esteem were highly significant predictors of self-rated health among older men and women and explained 18.4% of variance in self-rated health for men and 18.2% for women. In the last step we examined the main effects of gender on self-rated health using General Linear Models (GLM) Univariate by adjusting for age, life-threatening problems, and self-esteem. Results showed an insignificant difference in self-rated health between older men and women (F (1,2715) = 2.26, P = 0.13) only after adjusting for self-esteem. It can be concluded that self-esteem affects responses to self-rated health of older men and women.

School differences in adolescent health and wellbeing: Findings from the Canadian Health Behaviour in School-aged Children Study

The goal of this study was to assess the relationship between student- and school-level factors and student health and wellbeing outcomes, and to estimate the variability present at each of the student and school levels for each of three selected health-related outcomes. The data are from the 2006 Canadian Health Behaviour in School-aged children (HBSC) study in which Grades 6-10 students (N=9670) and administrators (N=187) were surveyed. The three outcome measures are Self-Rated Health (SRH), Emotional Wellbeing (EWB), and Subjective Health Complaints (SHC). Individual and school-level effects on the three outcomes were estimated using multi-level modeling. Both individual and school-level factors were associated with students' health. Gender, family wealth, family structure, academic achievement and neighbourhood were significant student-level predictors. We identified random associations between the student-level variables and reported health outcomes. These random effects indicate that the relationships between these student variables and health are not consistent across schools. Student Problem Behaviours at the school were significant predictors of SRH and SHC, while Student Aggression and the school's average socioeconomic standing were significant school-level predictors of EWB. Findings suggest that the environment and disciplinary climate in schools can predict student health and wellbeing outcomes, and may have important implications for school initiatives aimed at students who are struggling both emotionally and academically.

Socioeconomic status, working conditions and self-rated health in Switzerland: explaining the gradient in men and women

Epidemiological research has confirmed the association between socioeconomic status (SES) and health, but only a few studies considered working conditions in this relationship. This study examined the contribution of physical and psychosocial working conditions in explaining the social gradient in self-rated health. A representative sample of 10 101 employees, 5003 women and 5098 men, from the Swiss national health survey 2002 was used. SES was assessed according to the EGP-scheme. Working conditions included exposure to physical disturbances, physical strain, job insecurity, monotonous work and handling simultaneous tasks. For data analysis logistic regression analyses were performed. Data show a social gradient for self-rated health (SRH) as well as for physical and psychosocial working conditions. Logistic regression analysis controlling for age, gender and level of employment showed both physical and psychosocial working conditions to be significant predictors of SRH. Physical and psychosocial working conditions such as physical disturbances from work environment, physical strains in doing the job, monotony at work, job insecurity etc. could explain most of the social gradient of SRH in men and women. The study confirmed the relevance of modifiable physical and psychosocial working conditions for reducing social inequality in health. Gender differences need to be considered in epidemiological and intervention studies.

Self-rated health and trust in low-income Mexican-origin individuals in Texas

The evidence suggests that trust is an important determinant of health. Trust tends to be lower in low-income and minority individuals, who already suffer from worse health. Therefore, it is particularly important to investigate the predictors of trust in disadvantaged individuals. In this article we use multilevel models to investigate the individual and neighborhood predictors of trust in Mexican-Americans living in low-income neighborhoods (defined as census block groups) in Texas. Detailed survey data on 1754 Mexican-origin respondents provided information on self-rated health and individual characteristics including sociodemographic and sociocultural personal characteristics (frequency of association with people of other races/ethnicities, social support, perceived racism, perceived personal opportunity, and religiosity). Neighborhood heterogeneities and socioeconomic status, computed from census data, were supplemented by community social characteristics (collective efficacy and public disorder) obtained from survey data. Trust was a significant predictor of self-rated health in our sample. This study suggests that Mexican-Americans tend to trust more those with whom there is likely to be a personal acquaintance than other Mexican-Americans. Furthermore, while the results of this study support that people tend to trust more those who are like themselves, for Mexican-Americans, the identification of who is more alike is not based exclusively on racial/ethnic identity, but is a complex process based also on linguistic and socioeconomic similarities. In our sample, linguistic fragmentation, but not racial/ethnic diversity nor neighborhood impoverishment, correlated with trust. Ease of communication seemed to be more important than racial/ethnic homogeneity in encouraging interpersonal trust among Mexican-Americans at the neighborhood level. The findings in this study imply it may be possible to develop neighborhood level interventions, focusing on encouraging social interaction in racially/ethnically and linguistically diverse communities, with the aim of promoting trust to improve health outcomes.

Social capital and self-rated health: Results from the US 2006 social capital survey of one community

Using data from the 2006 Social Capital Community Survey in Duluth, Minnesota, and Superior, Wisconsin, USA, we investigate associations between individual social capital measures (attitudes on trust, formal group involvement, informal socializing, organized group interaction, social support and volunteer activity) and self-rated health after controlling for individual and economic characteristics. In particular, we address issues of social capital as an endogenous determinant of self-reported health using instrumental variables probit estimation. After accounting for the endogeneity of these various measures of individual social capital, we find that individual social capital is a significant predictor of self-rated health.

Explaining variation in health status across space and time: implications for racial and ethnic disparities in self-rated health

We use the Metropolitan Community Information Center-Metro Survey—a serial cross section of adults residing in the City of Chicago, USA, conducted from 1991 through 1999—in combination with 1990 census data to simultaneously examine the extent to which self-rated health varies across Chicago neighborhoods and across time. Three-level hierarchical logit models are employed to decompose individual, spatial, and temporal variance in self-rated health. Results indicate that variation in self-rated health across neighborhoods is explained, in part, by variation in the level of neighborhood affluence. Neighborhood level poverty, however, is not a significant predictor of self-rated health. Community level affluence, moreover, accounts for a substantial proportion of the residual health deficit experienced by African-Americans when compared with Whites (after controlling for individual level SES). The effects of affluence hold when controlling for spatial autocorrelation and when considered in primarily African-American neighborhoods. Findings also indicate that individuals living in the City of Chicago became significantly healthier over the decade of the 1990s, and that this improvement in health is explained largely by the increasing education and income levels of Chicago residents.

Policy, competence and participation: empirical evidence for a multilevel health promotion model

SUMMARY This paper uses data from a European health promotion evaluation study (MAREPS) to empirically test some fundamental assumptions of health promotion theory. Analysis shows that both the competence of individual actors and the opportunities provided for by health-promoting policies are significant predictors of participation in health promotion action. It also demonstrates effects of health promotion values on such action. Moreover, people’s perception of their own political efficacy, e.g. their influence on community decisions that effect their health, turns out to be a significant predictor of self-rated health. In conclusion, the paper encourages further research to investigate the effectiveness of health-promoting policy strategies within a multilevel health promotion framework. As the present results indicate, effective health-promoting policies may create opportunities that enable individuals and communities to increase control over the determinants of health, and thereby improve their health.

Objective and subjective assessments of socioeconomic status and their relationship to self-rated health in an ethnically diverse sample of pregnant women.

A new measure of subjective socioeconomic status (SES) was examined in relation to self-rated physical health in pregnant women. Except among African Americans, subjective SES was significantly related to education, household income, and occupation. Subjective SES was significantly related to self-rated health among all groups. In multiple regression analyses, subjective SES was a significant predictor of self-rated health after the effects of objective indicators were accounted for among White and Chinese American women; among African American women and Latinas, household income was the only significant predictor of self-rated health. After accounting for the effects of subjective SES on health, objective indicators made no additional contribution to explaining health among White and Chinese American women; household income continued to predict health after accounting for subjective SES among Latinas and African American women.

Objective and subjective assessments of socioeconomic status and their relationship to self-rated health in an ethnically diverse sample of pregnant women.

A new measure of subjective socioeconomic status (SES) was examined in relation to self-rated physical health in pregnant women. Except among African Americans, subjective SES was significantly related to education, household income, and occupation. Subjective SES was significantly related to self-rated health among all groups. In multiple regression analyses, subjective SES was a significant predictor of self-rated health after the effects of objective indicators were accounted for among White and Chinese American women; among African American women and Latinas, household income was the only significant predictor of self-rated health. After accounting for the effects of subjective SES on health, objective indicators made no additional contribution to explaining health among White and Chinese American women; household income continued to predict health after accounting for subjective SES among Latinas and African American women.

Physical activity and self-rated health among 55- to 89-year-old Dutch people.

The aim of this study was to examine the effects of physical activity and the possible mediating role of perceived physical self-efficacy (PPSE) on self-rated health (SRH) in the 55- to 89-year-old Dutch population. The data are based on a structured interview carried out in a random sample of 120 subjects--60 men and 60 women with the average ages of 69 and 71 years, respectively--in Sassenheim, the Netherlands, as a pilot study of the Longitudinal Aging Study Amsterdam (LASA). The results of linear multiple regression analyses showed that physical activity was a significant predictor of self-rated health. Moreover, the results supported the role of PPSE as a mediator in the association between physical activity and self-rated health status even when age, gender, and chronic diseases were controlled. These findings suggest that in the elder population, increasing perceived physical self-efficacy may be more important for perceived health than raising the level of physical activity.