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 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.

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.

Grandparenting and Self-Rated Health Among Older Korean Women

2018 ◽  
Vol 40 (10) ◽  
pp. 911-932 ◽  
Author(s):  
Seung-won Choi ◽  
Zhenmei Zhang
Keyword(s):  
Older Women ◽  
Regression Models ◽  
Korean Women ◽  
Cultural Contexts ◽  
Logistic Regression Models ◽  
Women Health ◽  
Self Rated Health ◽  
Multigenerational Households ◽  
Lagged Dependent Variable

An increasing number of older Korean women have played an important role in taking care of their grandchildren to help their adult children. This study investigates the effects of grandparenting on older women’ health in South Korea. Using the Korean Longitudinal Study of Aging ( N = 3,092), we estimated ordinal logistic regression models with lagged dependent variable to examine whether and how grandparenting type and transition and grandparenting intensity are associated with older women’s self-rated health. Results show that grandmothers who provide long-term nonresidential grandparenting have better self-rated health than grandmothers who are not engaged in grandparenting. Grandmothers caring for grandchildren in skipped-generation households or multigenerational households do not suffer from a deficit in health. Grandparenting intensity is not associated with grandmothers’ health. Our findings suggest that the implications of grandparenting for older women’s health may differ in different social and cultural contexts.

scholarly journals Physical Activity Among Adolescents With Long-Term Illnesses or Disabilities in 15 European Countries

2017 ◽  
Vol 34 (4) ◽  
pp. 456-465 ◽  
Author(s):  
Kwok Ng ◽  
Jorma Tynjälä ◽  
Dagmar Sigmundová ◽  
Lilly Augustine ◽  
Mariane Sentenac ◽  
...  
Keyword(s):  
Physical Activity ◽  
Regression Models ◽  
European Countries ◽  
Outcome Variable ◽  
Country Group ◽  
Logistic Regression Models ◽  
School Aged Children ◽  
Important Health ◽  
Health Promoting

Physical activity (PA) is an important health-promoting behavior from which adolescents with long-term illnesses or disabilities (LTID) can benefit. It is important to monitor differences across countries in adherence with PA recommendations for health. The aim of this study was to compare PA levels among 15 European countries after disaggregating data by disability. Data from pupils (mean age = 13.6 years, SD = 1.64) participating in the 2013/2014 Health Behavior in School-aged Children study were analyzed to compare adolescents without LTID, with LTID, and with LTID that affects their participation (affected LTID). Logistic regression models adjusted for age and family affluence, stratified by gender and country group with PA recommendations for health as the outcome variable. With the data pooled, 15% (n = 9,372) of adolescents reported having LTID and 4% (n = 2,566) having affected LTID. Overall, fewer boys with LTID met PA recommendations for health than boys without LTID, although it was not statistically significant either at the national levels or for girls.

scholarly journals COVID-19 Preventive Behaviours in Cameroon: A Six-Month Online National Survey

2021 ◽  
Vol 18 (5) ◽  
pp. 2554
Author(s):  
Joseph Nelson Siewe Fodjo ◽  
Leonard Ngarka ◽  
Wepnyu Y. Njamnshi ◽  
Leonard N. Nfor ◽  
Michel K. Mengnjo ◽  
...  
Keyword(s):  
Regression Models ◽  
Health Personnel ◽  
Online Survey ◽  
Preventive Measures ◽  
Face Mask ◽  
Logistic Regression Models ◽  
Adherence Score ◽  
Preventive Behaviour ◽  
Predictors Of Adherence

Since March 2020, the Cameroonian government implemented nationwide measures to stall COVID-19 transmission. However, little is known about how well these unprecedented measures are being observed as the pandemic evolves. We conducted a six-month online survey to assess the preventive behaviour of Cameroonian adults during the COVID-19 outbreak. A five-point adherence score was constructed based on self-reported observance of the following preventive measures: physical distancing, face mask use, hand hygiene, not touching one’s face, and covering the mouth when coughing or sneezing. Predictors of adherence were investigated using ordinal logistic regression models. Of the 7381 responses received from all ten regions, 73.3% were from male respondents and overall mean age was 32.8 ± 10.8 years. Overall mean adherence score was 3.96 ± 1.11 on a scale of 0–5. Mean weekly adherence scores were initially high, but gradually decreased over time accompanied by increasing incidence of COVID-19 during the last study weeks. Predictors for higher adherence included higher age, receiving COVID-19 information from health personnel, and agreeing with the necessity of lockdown measures. Meanwhile, experiencing flu-like symptoms was associated with poor adherence. Continuous observance of preventive measures should be encouraged among Cameroonians in the medium- to long-term to avoid a resurgence in COVID-19 infections.

scholarly journals Early High-dose Caffeine Improves Respiratory Outcomes in Preterm Infants

Children ◽  
2021 ◽  
Vol 8 (6) ◽  
pp. 501
Author(s):  
Vineet Lamba ◽  
Oscar Winners ◽  
Prem Fort
Keyword(s):  
Mechanical Ventilation ◽  
Preterm Infants ◽  
Regression Models ◽  
High Dose ◽  
Long Term Outcomes ◽  
Logistic Regression Models ◽  
Caffeine Citrate ◽  
Timing Of Initiation ◽  
Respiratory Outcomes

The objective of the study is to determine if early high-dose caffeine (HD) therapy is associated with shorter duration of mechanical ventilation, bronchopulmonary dysplasia (BPD), or decreased need for mechanical ventilation. We conducted a single center, retrospective cohort study of 273 infants less than 32 weeks gestational age (GA). Infants receiving early HD (10 mg/kg/day maintenance) caffeine citrate started within 24 h of life were compared with those receiving LD (6 mg/kg/day) with variable timing of initiation using linear and logistic regression models. The infants in the early HD group had 91.4 (95% confidence interval (CI): −166.6, −16.1; p = 0.018) less hours of mechanical ventilation up to 36 weeks PMA or discharge as compared with the LD group. Moreover, infants in the HD group had 0.37 (95% CI: 0.14, 0.97; p = 0.042) times lower odds of developing moderate/severe BPD compared with the LD group. Infants receiving early HD caffeine had improved respiratory outcomes with no increase in measured comorbidities. Large prospective studies are needed to determine the long-term outcomes of using high-dose caffeine prophylaxis for preterm infants.

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.

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