Self-rated health over the first five years after stroke.
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ABSTRACT:
SUBMITTER: Bjalkefur K
PROVIDER: S-EPMC7585295 | biostudies-literature | 2020 Oct
REPOSITORIES: biostudies-literature
Publications
Self-rated health over the first five years after stroke.
Bjälkefur Kerstin K Nasic Salmir S Bertholds Eric E Jood Katarina K Rejnö Åsa Å
BMC neurology 20201024 1
<h4>Background</h4>Self-rated health (SRH) focuses on the patient's own perception, and represents an important patient-reported outcome. The aim was to investigate SRH one to 5 years after stroke, follow the development over time and search for factors associated with SRH.<h4>Methods</h4>Consecutive stroke patients admitted to Stroke Units at the Skaraborg Hospital, Sweden were included 2007-2009 (n = 2190). Patient-reported outcomes were collected annually over 5 years using a postal questionn ...[more]
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Project description:Self-rated health (SRH) is a measure of perceived health that has been shown to predict use of community services, functional decline, pain, and mortality. Many factors associated with SRH have been identified, but unmet need for physical assistance with activities of daily living (ADL) has not yet been examined. The objective of this paper is to examine the association between unmet need and SRH while accounting for the effects of other, previously identified, correlates of SRH. We conducted a secondary analysis of a population-based study of 839 residents of Montréal, Québec who were 75 years of age or older, not cognitively impaired, and living in the community. Multivariable logistic regression was used to evaluate the association between met and unmet personal ADL (PADL) and instrumental ADL (IADL) need for physical assistance with SRH. Among 508 disabled community-dwelling elderly, for each additional unmet IADL need, subjects were 1.70 (95% CI: 1.11-2.61) times more likely to report poorer SRH. For each additional unmet PADL need, subjects were 2.26 (95% CI: 1.31-3.91) times more likely to report poorer SRH. Subjects at increased risk of malnutrition, with greater comorbidity and whose income was insufficient to meet their needs were also more likely to report poorer SRH. After adjustment for important correlates, unmet PADL and IADL needs retain a statistically significant association with poorer SRH, with nutritional status, comorbid conditions, and income satisfaction being important confounders of the relationship.
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Project description:ObjectiveThe aim of this study was to confirm the association between working hours and self-rated health, and to find the degree of changes in health level by working hours according to gender.MethodsThis study was based on the 929 workers (571 men and 358 women) from the Korean Labor and Income Panel Study during 2004?2006. To minimize the healthy worker effects, the study subjects included only those who did not have any chronic diseases, and who answered their health status as "moderate" or above in the baseline. Logistic regression analysis was used to confirm the associations between working hours and self-rated health.ResultsIn men, working hours per week of 47?52 h, 53?68 h, and >68 h were associated with 1.2, 1.3, and 1.1 times increases, respectively, in the odds ratio on worsened self-rated health, compared with the reference group (40?46 h). On the other hand, the risks were 1.0, 2.2, and 2.6 times increases in women. However, the results were different according to gender in the group with less than 40 h. The men with less than 40 h had a 0.9 times odds ratio on worsened self-rated health. For the women with less than 40 h, the odds ratio on self-rated health was 5.4 times higher than the reference group.ConclusionsWorking more than 52 h per week had a negative effect on health, regardless of gender. However, in the group with less than 40 h, the negative association between working hours and self-rated health were shown only in women. Health outcomes due to working hours may differ by gender. Therefore, further studies are needed to explore the causes of these results.
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Project description:The cumulative (dis)advantage hypothesis predicts education differences in health to increase with age. All previous tests of this hypothesis were based on self-reported health measures. Recent research has suggested that self-reported health measures may not adequately capture differences in key analytical constructs, including education, age, cohort, and gender. In this study, I tested the cumulative (dis)advantage hypothesis using a self-reported subjective measure (self-rated health), a self-reported semi-objective measure (PCS based on SF-12), and an objective measure (grip strength) of general physical health. Hierarchical linear models applied to five waves of panel data (SOEP, 2006-2014, N = 3,635 individuals aged 25 to 83, comprising N = 9,869 person-years) showed large differences between health measures. Among men, education differences in both self-reported measures of health widened substantially with age, consistent with the cumulative (dis)advantage hypothesis. For grip strength, education differences were small and changed little with age, inconsistent with the hypothesis. Among women, education differences in both self-reported measures of health remained stable over the life course, but they widened substantially when measured by grip strength. I conclude that evidence on the cumulative (dis)advantage hypothesis is sensitive to the choice of a health measure.
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Project description:Background:Poorer self-rated health (SRH) predicts worse health outcomes, even when adjusted for objective measures of disease at time of rating. Twin studies indicate SRH has a heritability of up to 60% and that its genetic architecture may overlap with that of personality and cognition. Methods:We carried out a genome-wide association study (GWAS) of SRH on 111 749 members of the UK Biobank sample. Univariate genome-wide complex trait analysis (GCTA)-GREML analyses were used to estimate the proportion of variance explained by all common autosomal single nucleotide polymorphisms (SNPs) for SRH. Linkage disequilibrium (LD) score regression and polygenic risk scoring, two complementary methods, were used to investigate pleiotropy between SRH in the UK Biobank and up to 21 health-related and personality and cognitive traits from published GWAS consortia. Results:The GWAS identified 13 independent signals associated with SRH, including several in regions previously associated with diseases or disease-related traits. The strongest signal was on chromosome 2 (rs2360675, P = 1.77 x 10 -10 ) close to KLF7 . A second strong peak was identified on chromosome 6 in the major histocompatibility region (rs76380179, P = 6.15 x 10 -10 ). The proportion of variance in SRH that was explained by all common genetic variants was 13%. Polygenic scores for the following traits and disorders were associated with SRH: cognitive ability, education, neuroticism, body mass index (BMI), longevity, attention-deficit hyperactivity disorder (ADHD), major depressive disorder, schizophrenia, lung function, blood pressure, coronary artery disease, large vessel disease stroke and type 2 diabetes. Conclusions:Individual differences in how people respond to a single item on SRH are partly explained by their genetic propensity to many common psychiatric and physical disorders and psychological traits.
| S-EPMC5837683 | biostudies-literature
Project description:BackgroundSelf-rated health and the factors that influence it have never been described in Singapore before. This paper presents a descriptive study of self-rated health in a nationally representative cross-sectional survey of 6236 persons.MethodsAs part of the National Health Surveillance Survey 2001, 6236 subjects aged 18 years and above were interviewed in the homes of participants by trained interviewers. The subjects were asked "In general, how would you rate your health today?", and given 5 possible responses. These were then categorized as "Good" (very good and good) and "Poor" (moderate, bad and very bad) self-rated health. The association of socio-economic and health behaviour risk factors with good self-rated health was studied using univariate and multivariate logistic regression analysis.ResultsUnivariate analyses suggest that gender, ethnicity, marital status, education, household income, age, self-reported doctor-diagnosed illnesses, alcohol intake, exercise and BMI are all associated with poor self-rated health. In multivariate regression analyses, gender, ethnicity, household income, age, self-reported illness and current smoking and BMI were associated with poor self-rated health. There are gender differences in the association of various factors such as household income, smoking and BMI to self-rated health.ConclusionSocioeconomic factors and health behaviours are significantly associated with self-rated health, and gender differences are striking. We discuss why these factors may impact self-rated health and why gender differences may have been observed, propose directions for further research and comment on the public policy implications of our findings.
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Project description:ObjectivesThis study examines the potential use of interviewer-rated health (IRH) as a complementary measure of self-rated health (SRH) through a systematic comparison of their components and mortality-predictive powers in the Chinese elderly population.MethodsThis study used a nationwide dataset with more than 12,000 adults aged 65 or older drawn from the 2005 and 2008 waves of the Chinese Longitudinal Health Longevity Survey (CLHLS).ResultsDisability, cognitive function, chronic disease conditions, psychological well-being, and health behaviors influenced both the SRH and IRH of Chinese older adults; these factors, especially disabilities, explained a large portion of the association between SRH and mortality. However, the impact of these factors on the association between IRH and mortality was limited. Furthermore, when both SRH and IRH were included in the analytical models, the association between SRH and mortality disappeared, while the association between IRH and mortality still persisted.DiscussionAlthough there is some difference between IRH and SRH, IRH captures similar health information as SRH and is strongly predictive of mortality independent of SRH; thus, IRH could be a good supplementary measurement for well-adopted SRH.
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Project description:Growing international and national focus on quantitatively measuring and improving ocean health has increased the need for comprehensive, scientific, and repeated indicators to track progress towards achieving policy and societal goals. The Ocean Health Index (OHI) is one of the few indicators available for this purpose. Here we present results from five years of annual global assessment for 220 countries and territories, evaluating potential drivers and consequences of changes and presenting lessons learned about the challenges of using composite indicators to measure sustainability goals. Globally scores have shown little change, as would be expected. However, individual countries have seen notable increases or declines due in particular to improvements in the harvest and management of wild-caught fisheries, the creation of marine protected areas (MPAs), and decreases in natural product harvest. Rapid loss of sea ice and the consequent reduction of coastal protection from that sea ice was also responsible for declines in overall ocean health in many Arctic and sub-Arctic countries. The OHI performed reasonably well at predicting near-term future scores for many of the ten goals measured, but data gaps and limitations hindered these predictions for many other goals. Ultimately, all indicators face the substantial challenge of informing policy for progress toward broad goals and objectives with insufficient monitoring and assessment data. If countries and the global community hope to achieve and maintain healthy oceans, we will need to dedicate significant resources to measuring what we are trying to manage.
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Project description:To determine a) proportions of behavior related health risk factors among job-seekers and b) to what extend these are related to self-rated health.Over 12 months, job-seekers were recruited at three job-agencies in northeastern Germany. Among all individuals eligible for study inclusion, 7,906 (79.8%) provided information on smoking, risky drinking, overweight/obesity (body mass index), fruit and vegetable intake, physical inactivity, illicit drug use, and self-rated health. Proportions and 95% confidence intervals stratified by gender, age and duration of unemployment were calculated. Multivariate logistic regression analyses predicting self-rated health were conducted.The proportions of each health-risk factor were high, and 52.4% of the sample (53.4% male, 33.5 years mean age) had 3 or more health risk factors. Mostly, the proportions were particularly high among men and long-term unemployed individuals; e.g. 84.8% of the 18-24 year old long-term unemployed men were current smokers. Proportions of substance use related health risk factors were highest among the 18-24 year olds (e.g. risky drinking 28.7%), and proportions of health risk factors related to nutrition and physical inactivity were highest among the 40-64 year olds (e.g. overweight/obesity 65.4%). Depending on gender, all health risk factors and having 3 or more health risk factors were associated with lower self-rated health; odd ratios ranged between 1.2 for smoking (95% CI: 1.0-1.3) and 1.7 for overweight and physical inactivity (95% CI: 1.5-1.9).Prevention efforts to reduce health risk factors and to increase health among job-seekers are needed, and job agencies appear a feasible setting for their implementation.
| S-EPMC3223919 | biostudies-literature
Project description:IntroductionStroke is the leading neurological cause of adult long-term disability in Europe. Even though functional consequences directly related to neurological impairment are well studied, post-stroke trajectories of functional health according to the International Classification of Functioning, Disability and Health are poorly understood. Particularly, no study investigated the relationship between post-stroke trajectories of activities of daily living (ADL) and self-rated health (SRH). However, such knowledge is of major importance to identify patients at risk of unfavourable courses. This prospective observational study aims to investigate trajectories of ADL and SRH, and their modifying factors in the course of the first year after stroke.Methods and analysisThe study will consecutively enrol 300 patients admitted to a tertiary care hospital with acute ischaemic stroke or transient ischaemic attack (TIA; Age, Blood Pressure, Clinical Features, Duration of symptoms, Diabetes score ≥3). Patient inclusion is planned from May 2021 to September 2022. All participants will complete an interview assessing ADL, SRH, mental health, views on ageing and resilience-related concepts. Participants will be interviewed face-to-face 1-5 days post-stroke/TIA in the hospital; and will be followed up after 6 weeks, 3 months, 6 months and 12 months via telephone. The 12-month follow-up will also include a neurological assessment. Primary endpoints are ADL operationalised by modified Rankin Scale scores and SRH. Secondary outcomes are further measures of ADL, functional health, physical activity, falls and fatigue. Views on ageing, social support, resilience-related concepts, affect, frailty, illness perceptions and loneliness will be examined as modifying factors. Analyses will investigate the bidirectional relationship between SRH and ADL using bivariate latent change score models.Ethics and disseminationThe study has been approved by the institutional review board of the University Medicine Greifswald (Ref. BB 237/20). The results will be disseminated through scientific publications, conferences and media. Moreover, study results and potential implications will be discussed with patient representatives.Trial registration numberNCT04704635.
| S-EPMC8245451 | biostudies-literature