The Determinants and Subsequent Effect of Self-Rated Health Status on Survival among Elderly Americans

2014 ◽  
Vol 3 (2) ◽  
pp. 69
Author(s):  
Guangming Han
Keyword(s):  
Health Status ◽  
Regression Models ◽  
Survival Function ◽  
The Elderly ◽  
Mortality Prediction ◽  
Logistic Regression Models ◽  
Self Rated Health ◽  
Elderly Populations ◽  
Impact On Survival ◽  
Cox Proportional Hazard Regression

The main aim of this study is to explore the patterns, determinants and subsequent mortality prediction of change in self-rated health in the elderly American population. To achieve this purpose, we constructed logistic regression models and Cox proportional hazard regression models with the complex survey dataset from the National Second Longitudinal Study of Aging (LSOA II) to calculate the odds ratios (OR)/ hazard ratios (HR) and confidence intervals (CI) of risk factors. Our results show that chronic disease condition and difficulty in daily activities are the main reasons for change in self-rated health status. Furthermore, change in self-rated health has significant impact on survival function in the elderly populations. When change in self-rated health status was considered, self-rated health was a stronger and more flexible predictor of mortality for elderly populations. These findings will provide important information to establish effective strategies for prolonging lifespan by improving self-rated health status for elderly populations.

scholarly journals The Determinants and Subsequent Effect of Self-Rated Health Status on Survival among Elderly Americans

2014 ◽  
Vol 3 (2) ◽  
pp. 69
Author(s):  
Guangming Han
Keyword(s):  
Health Status ◽  
Regression Models ◽  
Survival Function ◽  
The Elderly ◽  
Mortality Prediction ◽  
Logistic Regression Models ◽  
Self Rated Health ◽  
Elderly Populations ◽  
Impact On Survival ◽  
Cox Proportional Hazard Regression

The main aim of this study is to explore the patterns, determinants and subsequent mortality prediction of change in self-rated health in the elderly American population. To achieve this purpose, we constructed logistic regression models and Cox proportional hazard regression models with the complex survey dataset from the National Second Longitudinal Study of Aging (LSOA II) to calculate the odds ratios (OR)/ hazard ratios (HR) and confidence intervals (CI) of risk factors. Our results show that chronic disease condition and difficulty in daily activities are the main reasons for change in self-rated health status. Furthermore, change in self-rated health has significant impact on survival function in the elderly populations. When change in self-rated health status was considered, self-rated health was a stronger and more flexible predictor of mortality for elderly populations. These findings will provide important information to establish effective strategies for prolonging lifespan by improving self-rated health status for elderly populations.

scholarly journals Self-Rated Health Status Based on the Type of Health Insurance: A Socioeconomic Perspective

2021 ◽  
Vol 58 ◽  
pp. 004695802110281
Author(s):  
Minsung Sohn ◽  
Minsoo Jung ◽  
Mankyu Choi
Keyword(s):  
Socioeconomic Status ◽  
Health Insurance ◽  
Health Status ◽  
Regression Models ◽  
Private Health Insurance ◽  
Public And Private ◽  
Logistic Regression Models ◽  
Self Rated Health ◽  
Interaction Terms ◽  
Healthcare Coverage

To investigate the effects of public and private health insurance on self-rated health (SRH) status within the National Health Insurance (NHI) system based on socioeconomic status in South Korea. The data were obtained from 10 867 respondents of the Korea Health Panel (2008-2011). We used hierarchical panel logistic regression models to assess the SRH status. We also added the interaction terms of socioeconomic status and type of health insurance as moderators. Medical aid (MA) recipients were 2.10 times more likely to have a low SRH status than those who were covered only by the NHI, even though the healthcare utilization was higher. When the interaction terms were included, those not covered by the NHI and had completed elementary school or less were 16.59 times more likely to have a low SRH status than those covered by the NHI and had earned a college degree or higher. Expanding healthcare coverage to reduce the burden of non-payment and unmet use to improve the health status of MA beneficiaries should be considered. Particularly, the vulnerability of less-educated groups should be focused on.

scholarly journals Prevailing over Adversity: Factors Counteracting the Long-Term Negative Health Influences of Social and Material Disadvantages in Youth

2018 ◽  
Vol 15 (9) ◽  
pp. 1842 ◽  
Author(s):  
Ylva Almquist ◽  
Evelina Landstedt ◽  
Josephine Jackisch ◽  
Kristiina Rajaleid ◽  
Hugo Westerlund ◽  
...  
Keyword(s):  
Health Status ◽  
Regression Models ◽  
Logistic Regression Models ◽  
Self Rated Health ◽  
Spare Time ◽  
The Family ◽  
Health Promoting ◽  
Material Conditions ◽  
Swedish Cohort

Disadvantaged circumstances in youth tend to translate into poor health development. However, the fact that this is not always the case has been seen as indicative of differential resilience. The current study highlights factors outside the context of the family with the potential to counteract the long-term negative influences of social and material adversity in adolescence on general health status. This study was based on two waves of questionnaire data from the Northern Swedish Cohort. From the wave in 1981 (age 16), indicators of social and material conditions as well as factors related to school, peers, and spare time were derived. From the wave in 2008 (age 43), information about self-rated health was used. Ordinal logistic regression models (n = 908) showed that adversity in youth was associated with poorer self-rated health in midlife among men and women alike, net of health status at baseline. However, having an advantaged situation with regard to school, peers, or spare time appeared to protect against the detrimental influences of disadvantaged circumstances in the family context on subsequent health. This suggests that health-promoting interventions may benefit from focusing on contexts outside the family in their effort to strengthen processes of resilience among disadvantaged youths.

scholarly journals Prevailing over Adversity: Factors Counteracting the Long-Term Negative Health Influences of Social and Material Disadvantages in Youth

2018 ◽  
Author(s):  
Ylva B Almquist ◽  
Evelina Landstedt ◽  
Josephine Jackisch ◽  
Kristiina Rajaleid ◽  
Hugo Westerlund ◽  
...  
Keyword(s):  
Health Status ◽  
Regression Models ◽  
Logistic Regression Models ◽  
Self Rated Health ◽  
Spare Time ◽  
The Family ◽  
Health Promoting ◽  
Material Conditions ◽  
Swedish Cohort

Disadvantaged circumstances in youth tend to translate into poor health development. Yet, the fact that this is not always the case has been seen as indicative of differential resilience. The current study highlights factors outside the context of the family with the potential to counteract the long-term negative influences of social and material adversity in adolescence on general health status. This study was based on two waves of questionnaire data from the Northern Swedish Cohort. From the wave in 1981 (age 16), indicators of social and material conditions as well as factors related to school, peers, and spare time, were derived. From the wave in 2008 (age 43), information about self-rated health was used. Ordinal logistic regression models (n=908) showed that adversity in youth was associated with poorer self-rated health in midlife among men and women alike, net of health status at baseline. However, having an advantaged situation with regard to school, peers, or spare time appeared to protect against the detrimental influences of disadvantaged circumstances in the family context on subsequent health. This suggests that health-promoting interventions may benefit from focusing on contexts outside the family in their effort to strengthen processes of resilience among disadvantaged youths.

scholarly journals Identification of confounders in the association between self-reported diseases and symptoms and self-rated health in a group of factory workers

2008 ◽  
Vol 24 (5) ◽  
pp. 983-992 ◽  
Author(s):  
Doroteia Aparecida Höfelmann ◽  
Nelson Blank
Keyword(s):  
Chronic Diseases ◽  
Regression Models ◽  
Factory Workers ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Self Rated Health ◽  
Common Complaint ◽  
Metallurgical Factory ◽  
Probabilistic Sample ◽  
Self Administered Questionnaire

Self-related health is an important predictor of morbidity and mortality, and much of its effect is influenced by the presence of chronic diseases and/or symptoms. The current study aimed to identify confounders in the association between reported chronic diseases and/or symptoms and self-rated health among workers at a metallurgical factory in Santa Catarina State, Brazil. The study design was cross-sectional, with a probabilistic sample of 482 workers. The information was obtained through a self-administered questionnaire and anthropometric measurements. Hierarchical multiple logistic regression models were adjusted. The response rate was 98.6% (n = 475), with 84.8% men, mostly employed on the factory floor (79.4%). Back pain was the most common complaint. The association between chronic diseases and self-rated health showed an odds ratio (OR) of 7.3 (95%CI: 3.7;14.5). After statistical modeling, psychosocial (-25.59%), socioeconomic (-9.29%), and occupational variables (10.54%) were identified as confounders between the outcome and chronic diseases and/or symptoms. The way diseases and/or symptoms act on self-rated health among workers transcends physical aspects.

scholarly journals NEIGHBORHOOD AGE COMPOSITION AND SELF-RATED HEALTH: FINDINGS FROM A NATIONALLY REPRESENTATIVE STUDY

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S64-S64
Author(s):  
Amanda Lehning ◽  
Amanda J Lehning ◽  
Nicole Mattocks ◽  
Kyeongmo Kim ◽  
Richard J Smith
Keyword(s):  
Older Adults ◽  
Regression Models ◽  
Neighborhood Change ◽  
Age Composition ◽  
Logistic Regression Models ◽  
Self Rated Health ◽  
Representative Study ◽  
Nationally Representative ◽  
Using Data ◽  
Conceptual Work

Abstract Neighborhood age composition is an understudied area. Furthermore, existing empirical and conceptual work is conflicting, with some indicating neighborhoods with more older adults are beneficial and other scholarship suggesting it can be detrimental. Using data from 7,197 older adults from the first wave (2011) of the National Health & Aging Trends Study combined with census tract data from the National Neighborhood Change Database, we examined the association between neighborhood age composition and self-rated health. Findings from logistic regression models indicate those living in neighborhoods with a growing concentration of older residents are significantly more likely to report lower self-rated health compared to those living in a neighborhood in which older adults overall are declining (β=1.51, p < .05) or are becoming diluted by younger residents (β=.66, p < .05). Results have implications for interventions promoting aging in place, particularly for those who may be stuck in place in age-concentrated neighborhoods.

scholarly journals Low blood pressure and risk of depression in the elderly

2000 ◽  
Vol 176 (5) ◽  
pp. 464-467 ◽  
Author(s):  
Sabrina Paterniti ◽  
Marie-Hélène Verdier-Taillefer ◽  
Catherine Geneste ◽  
Jean-Claude Bisserbe ◽  
Annick Alpérovitch
Keyword(s):  
Blood Pressure ◽  
Regression Models ◽  
Depressive Symptomatology ◽  
The Elderly ◽  
Epidemiological Studies ◽  
Logistic Regression Models ◽  
Drinking Habits ◽  
Low Blood Pressure ◽  
The Relationship

BackgroundThe relationship between depression and low blood pressure is unclear.AimsTo examine the temporal relation between low blood pressure and depression in a two-year follow-up.MethodThe study group consisted of 1389 subjects aged 59–71 years; 1272 (92%) were examined after two years. Subjects completed the Center for Epidemiological Studies–Depression (CES–D) and the Spielberger inventory scales to assess depressive and anxiety symptoms respectively. Data were collected on socio-demographic characteristics, smoking and drinking habits, medical history, drug use and blood pressure measures.ResultsAmong 1112 subjects who were considered as non-depressed at baseline, logistic regression models showed that low diastolic blood pressure (DBP) and decrease of blood pressure were predictors of high depressive symptomatology at follow-up. Baseline high CES–D scores did not predict low blood pressure two years after.ConclusionsIn our study, low blood pressure was a risk factor for, but not a consequence of, high depressive symptomatology.

scholarly journals Youth Working in Tobacco Farming: Effects on Smoking Behavior and Association with Health Status

2019 ◽  
Author(s):  
Ethel Alderete ◽  
Jennifer Livaudais-Toman ◽  
Celia Kaplan ◽  
Steven E. Gregorich ◽  
Raúl Mejía ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Health Status ◽  
Regression Models ◽  
Smoking Behavior ◽  
Economic Benefits ◽  
Social Consequences ◽  
Multivariate Logistic Regression ◽  
Accidental Injury ◽  
Logistic Regression Models ◽  
Serious Injury

Abstract Background Cultivation of tobacco raises concerns about detrimental health and social consequences for youth, but tobacco producing countries only highlight economic benefits. We compared sociodemographic and health-related characteristics of school-age youth who worked and did not work in tobacco farming and assessed the effects on smoking behavior and health at one year.Methods We used existing data collected in the province of Jujuy, Argentina where 3188 youth 13 to 17 years of age from a random middle school sample responded to longitudinal questionnaires in 2005 and 2006. Multivariate logistic regression models predicted association of tobacco farming work with health status and smoking behavior at one year.Results 22.8% of youth in the tobacco growing areas of the province were involved in tobacco farming. The mean age of initiation to tobacco farming was 12.6 years. Youth working in farming had higher rates of fair or poor versus good or excellent self-perceived health (30.3% vs. 19.0%), having a serious injury (48.5% vs. 38.5%), being injured accidentally by someone else (7.5% vs. 4.6%), being assaulted (5.5% vs. 2.6%), and being poisoned by exposure to chemicals (2.5% vs. 0.7%). Youth working in tobacco farming also had higher prevalence of ever (67.9% vs. 55.2%), current (48.0% vs. 32.6%) and established smoking (17.8% vs. 9.9%). In multivariate logistic regression models tobacco farming in 2005 was associated with significant increased reporting of serious injury (OR=1.4; 95%CI 1.1-2.0), accidental injury by someone else (OR=1.5; 95% 1.0-2.1), assault (OR=2.2; 95% CI 1.3-3.8), and poisoning by exposure to chemicals (OR=2.5; 95% CI 1.2-5.4). Tobacco farming in 2005 predicted established smoking one year later (OR=1.5; 95% CI 1.1-2.0).Conclusion Youth who work in tobacco faming face a challenging burden of adversities that increase their vulnerability. Risk assessments should guide public policies to protect underage youth working in tobacco farming. (298 words)

scholarly journals Anemia and iron deficiency in Mexican elderly population. Results from the Ensanut 2012

2015 ◽  
Vol 57 (5) ◽  
pp. 394 ◽  
Author(s):  
Alejandra Contreras-Manzano ◽  
Vanessa De la Cruz ◽  
Salvador Villalpando ◽  
Rosario Rebollar ◽  
Teresa Shamah-Levy
Keyword(s):  
Iron Deficiency ◽  
Regression Models ◽  
Elderly Population ◽  
The Elderly ◽  
Serum Concentrations ◽  
Nutrition Survey ◽  
Logistic Regression Models ◽  
Health And Nutrition ◽  
Males And Females ◽  
Prevalence Of Anemia

Objective. To describe de prevalence of iron deficiency (ID) and anemia in a sample of Mexican elderly population from the National Health and Nutrition Survey (Ensanut) 2012. Materials and methods. 1 920 subjects ≥60 years of age were included. Hemoglobin, serum concentrations of ferritin and CRP were measured. The risk for ID and anemia adjusted for potential confounders was assessed in logistic regression models. Results. The overall prevalence of anemia was 13.9%, 15.2% in males and 12.8% females. For ID,overall it was 4.2%, males 4.0% and females 4.3%. The greatest prevalence of ID was found in males and females over 80 years old (6.9 and 7.0%, respectively). ID was present in 1.5 of 10 Mexican elders with anemia. Conclusion. The prevalence of anemia was high in the elderly, however the prevalence of ID was low; there is a need to further investigate the causes of anemia in this age group.

scholarly journals Mental health and related influencing factors among rural elderly in 14 poverty state counties of Chongqing, Southwest China: a cross-sectional study

2020 ◽  
Vol 25 (1) ◽  
Author(s):  
Yin Yang ◽  
Hui Deng ◽  
Qingqing Yang ◽  
Xianbin Ding ◽  
Deqiang Mao ◽  
...  
Keyword(s):  
Mental Health ◽  
Risk Factor ◽  
Health Status ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Rural Elderly ◽  
Mental Health Status ◽  
Sectional Study ◽  
Cross Sectional ◽  
Self Rated Health

Abstract Background China has the largest elderly population in the world; little attention has been paid to the mental health of elderly in areas of extreme poverty. This is the first study to investigate the mental health of the rural elderly in poverty state counties in Chongqing and was part of the Chongqing 2018 health literacy promotion project. Methods In 2019, a cross-sectional study was conducted to investigate the mental health status of the rural elderly in fourteen poverty state counties of Chongqing, in which a total of 1400 elderly aged ≥ 65 years were interviewed, where mental health status was measured by the ten-item Kessler10 (K10) scale. Ordered multivariate logistic regression was performed to evaluate the influencing factors related to mental health of the elderly in these areas. Results The average score of K10 in 14 poverty state counties was 17.40 ± 6.31, 47.6% was labeled as good, 30.2% was moderate, 17.0% was poor, and lastly 5.1% was bad, and the mental health status of the elderly in the northeastern wing of Chongqing was better than the one in the southeastern wing of Chongqing. A worse self-rated health was the risk factor for mental health both in the northeastern and southeastern wings of Chongqing (all P < 0.001). Lower education level (OR (95% CI) = 1.45 (1.12–1.87), P = 0.004) was a risk factor in the northeastern wing, whereas older age (OR (95% CI) = 1.33 (1.13–1.56), P = 0.001) was a risk factors in the southeastern wing. Conclusions The results showed that mental health of the elderly in poverty state counties was poor, especially in the southeastern wing of Chongqing. Particular attention needs to be paid to the males who were less educated, older, and single; female with lower annual per capital income; and especially the elderly with poor self-rated health.

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