Higher Odds Of Poor Self-rated Health Research Articles

Labour-Market Characteristics and Self-Rated Health: Evidence from the China Health and Retirement Longitudinal Study

In the face of labour-force ageing, understanding labour-market characteristics and the health status of middle-aged and older workers is important for sustainable social and economic development. Self-rated health (SRH) is a widely-used instrument to detect health problems and predict mortality. This study investigated labour-market characteristics that may have an impact on the SRH among Chinese middle-aged and older workers, using data from the national baseline wave of the China Health and Retirement Longitudinal Study. The analytical sample included 3864 individuals who at the time held at least one non-agricultural job. Fourteen labour-market characteristics were clearly defined and investigated. Multiple logistic regression models of the associations of each labour-market characteristic with SRH were estimated. Seven labour-market characteristics were associated with higher odds of poor SRH when controlled for age and sex. Employment status and earned income remained significantly associated with poor SRH, when controlling for all the sociodemographic factors and health behaviours. Doing unpaid work in family businesses is associated with 2.07 (95% CI, 1.51-2.84) times probability of poor SRH, compared with employed individuals. Compared with more affluent individuals (highest quintile of earned income), people in the fourth and fifth quintiles had 1.92 (95% CI, 1.29-2.86) times and 2.72 (95% CI, 1.83-4.02) times higher chance, respectively, of poor SRH. In addition, residence type and region were important confounders. Measures improving adverse working conditions should be taken to prevent future risk of impaired health among the Chinese middle-aged and older workforce.

Caregiving: a risk factor of poor health and depression among informal caregivers in India- A comparative analysis

BackgroundIn an ageing society, the provision of long-term care is the prime need. In Indian cultural setting, family members are the informal, albeit primary caregivers to the elderly. Caregiving demands intense emotional and financial involvement. While taking care of elderly persons’ health and wellbeing, these family members, acting as informal caregivers, may themselves become vulnerable to poor health due to additional stress and burden. Using a nationally representative survey, the study tried to identify how health condition varies within caregivers and a comparative analysis of how in similar socio-economic background health condition varies between caregivers and non-caregivers.MethodThe data, used for the analysis, is taken from Longitudinal Ageing Study in India (LASI), Wave I. Both descriptive and multivariable regression analysis are done in different models along with interaction effect of caregiving to understand the difference in health status between caregiver and non-caregivers.ResultsNearly 29% and 11% of the informal caregivers, reported to have depressive symptoms and poor self-rated health (SRH), respectively. Almost half of the caregivers, who provide care for more than 40 h a week, are diagnosed to have depressive symptoms. They are also at higher risk of having depressive symptoms (AOR 1.59 CI 1.16–2.18) and poor SRH (AOR 1.73 CI 1.11–2.69) than those who invest less than 40 h in a week. In almost every socio-economic condition, caregivers are at a higher risk of having depression and poor health than non-caregivers. Caregivers, who are widowed, live in rural areas or are not satisfied with current living arrangement are more vulnerable to have depressive symptoms. On the other hand, caregivers of age 45–59 years, widowed, male and who live only with their children with spouse absent, have almost 2 times higher odds of poor SRH than non-caregivers.ConclusionCaregivers are more susceptible to depression and poor self-rated health compared to non-caregivers irrespective of their socio-economic characteristics, only the magnitude of vulnerability varies.

Low fruit and vegetable intake is associated with poor self-rated health in the Czech part of the HAPIEE study.

Background: Although fruits and vegetables are considered a pillar of healthy eating, previous evidence suggests that their consumption in Eastern European countries is low, and their association with health outcomes has rarely been researched in this region. Aim: To examine the effect of fruit and vegetable intake on self-rated health (SRH) in the Czech arm of the Health, Alcohol and Psychosocial factors in Eastern Europe prospective cohort study. Methods: Dietary data on fruit and vegetable intake was measured at baseline using food frequency questionnaires, and SRH from the second wave was chosen as the main outcome. The relationship between fruit and vegetable intake and SRH was analysed using multivariable ordinal regression. Results: A total of 4255 persons aged 45-69, in good and very good SRH at baseline were included in the longitudinal analysis, with a median follow-up time of 3.7 years. In the second wave, 218 (5.1%) individuals reported poor or very poor SRH. In the fully adjusted model, individuals in the lowest fruit and vegetable intake quartile had higher odds of poor SRH compared to those in the highest quartile (OR = 1.24, 95% CI: 1.01-1.52). When examined separately, the results were similar: for vegetables (OR = 1.25, 95% CI: 1.03-1.51) and fruit (OR = 1.18, 95% CI: 0.97-1.44). Conclusion: The observed longitudinal association suggests that low fruit and vegetable intake is associated with poor SRH in the Czech Republic. Considering almost half of our sample reported less than the daily recommended intake of 400 grams of fruits and vegetables, higher consumption should be supported.

Questioning the discriminatory accuracy of broad migrant categories in public health: self-rated health in Sweden.

Background: Differences between natives and migrants in average risk for poor self-rated health (SRH) are well documented, which has lent support to proposals for interventions targeting disadvantaged minority groups. However, such proposals are based on measures of association that neglect individual heterogeneity around group averages and thereby the discriminatory accuracy (DA) of the categories used (i.e. their ability to discriminate the individuals with poor and good SRH, respectively). Therefore, applying DA measures rather than only measures of association our study revisits the value of broad native and migrant categorizations for predicting SRH. Design, setting and participants: We analyzed 27 723 individuals aged 18–80 who responded to a 2008 Swedish public health survey. We performed logistic regressions to estimate odds ratios (ORs), predicted risks and the area under the receiver operating characteristic curve (AU-ROC) as a measure of epidemiological DA. Results: Being born abroad was associated with higher odds of poor SRH (OR = 1.75), but the AU-ROC of this variable only added 0.02 units to the AU-ROC for age alone (from 0.53 to 0.55). The AU-ROC increased, but remained unsatisfactorily low (0.62), when available social and demographic variables were included. Conclusions: Our results question the use of broad native/migrant categorizations as instruments for forecasting individual SRH. Such simple categorizations have a very low DA and should be abandoned in public health practice. Measures of association and DA should be reported together whenever an intervention is being considered, especially in the area of ethnicity, migration and health.

Country of birth, parental background and self-rated health among adolescents: a population-based study.

The aim of this study was to investigate differences according to country of birth and parental country of birth, in relation to poor self-rated health (SRH), in Swedish adolescents. The Scania public health survey among children and adolescents, conducted in 2012, is a cross-sectional study including most pupils in grade 9 (15 years old), including in 32 of 33 municipalities. The participation rate was 83% (9,791 of 11,735). We performed logistic regressions to investigate the association between the students' country of birth, parental country of birth and poor SRH. Boys born outside Europe had an odds ratio (OR) 2.1 (1.6-2.8) of poor SRH in the unadjusted model, which was reduced to 0.7 (0.4-1.3) in the multiple model, as compared to boys born in Sweden with both or one parent born in Sweden. Boys born in Europe had an OR 0.4 (0.2-0.9) of poor SRH, after multiple adjustments. Girls born in Sweden with both parents born abroad, and girls born outside of Europe had significantly lower ORs of poor SRH in the multiple model. In particular, adjustment for socio-demographic and psychosocial factors reduced the ORs of poor SRH among boys, but did so to a lesser extent among girls. Differences in socio-demographic and psychosocial factors explained the higher odds of poor SRH among boys born outside of Europe. Girls born in Sweden with both parents born abroad, and girls born outside Europe, had significantly lower ORs of poor SRH. Our results indicate that there are gender differences in the factors behind poor self-rated health, according to the country-related background of adolescents in Sweden.