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 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 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 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 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 General and central obesity operate differently as predictors of falls requiring medical care in older women: a population-based cohort study in Spain

2020 ◽  
Author(s):  
Ygor Hermenegildo-López ◽  
Helena Sandoval-Insausti ◽  
Carolina Donat-Vargas ◽  
Jose Ramón Banegas ◽  
Fernando Rodríguez-Artalejo ◽  
...  
Keyword(s):  
Waist Circumference ◽  
Medical Care ◽  
Older Women ◽  
Abdominal Obesity ◽  
Regression Models ◽  
Population Based ◽  
Normal Weight ◽  
General Obesity ◽  
Logistic Regression Models ◽  
Overweight Women

Abstract Objectives to examine the association of general and abdominal obesity with falls, falls requiring medical care and falls with fractures in older women. Design a population-based prospective cohort of 1,185 women aged ≥60 in Spain, followed up from 2008 to 2010 through 2012. Measures weight, height and waist circumference were measured at baseline using standardised techniques. Participants were classified according to body mass index as normal weight (<25), overweight (25–29.9) and general obesity (≥30). Abdominal obesity was defined as waist circumference >88 cm. In 2012, participants reported the falls experienced in the previous year. Logistic regression models were mutually adjusted for general and abdominal obesity and for main confounders. Results in this cohort of older women, a total of 336 women experienced falls, 168 of them had falls requiring medical care and 64 falls with fractures. For falls, no association was found with general obesity nor abdominal obesity. However, compared with normal weight, overweight women had a decreased risk for falls requiring medical care [odds ratio (OR) 0.57; 95% confidence interval (CI) 0.34–0.94] and for falls with fractures (OR 0.27; 95% CI 0.12–0.63). The corresponding values for general obesity were 0.44 (0.24–0.81) and 0.30 (0.11–0.82). Abdominal obesity was positively associated with falls requiring medical care (OR 1.82; 95% CI 1.12–2.94) and falls with fractures (OR 2.75; 95% CI 1.18–6.44). Conclusions in older women, general obesity may protect from falls requiring medical care and falls with fractures. On the contrary, abdominal obesity increased the risk of suffering from types of falls.

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 Trends in Covid-19 hospital mortality in women and men

2021 ◽  
Author(s):  
Luis Ayerbe ◽  
Carlos Risco-Risco ◽  
Diego Martinez-Urbistondo ◽  
Maria Elena Caro-Tinoco ◽  
Salma Ayis
Keyword(s):  
Regression Models ◽  
Scientific Evidence ◽  
Future Research ◽  
Mortality Data ◽  
First Year ◽  
Multivariate Logistic Regression ◽  
Medical Outcomes ◽  
Logistic Regression Models ◽  
Time Of Admission

Introduction: It remains unclear if the development of health services, clinical management, and scientific evidence, during the pandemic is associated with better medical outcomes, sustained in the long term, for Covid-19 patients of each gender. This study presents the trends in mortality associated with Covid-19 for women and men during the first year of the pandemic. Methods: This study was based in 17 Spanish hospitals. Sociodemographic, clinical, and mortality data from all patients with Covid-19, who had been discharged alive, or had died after being admitted, between March 2020 and February 2021, were used. The association between time of admission and mortality was examined with multivariate logistic regression models. Results: 3390 Covid-19 patients were included in the study, of which 1330 were women, the age was M(SD): 66.55(16.55) Death was reported for 451 patients. There was a significant decreasing trend in mortality by time of admission for the whole year with an OR: 0.86(0.77-0.96) p=0.005. No significant trend in mortality for women was observed OR: 1.00(0.85-1.19) p=0.959, while there was a significant decreasing trend for men OR: 0.78 (0.68-0.90) p=0.001 Discussion: The health policies put in place, the scientific evidence developed by researchers, and the experienced acquired by clinicians, are likely to explain this improvement in mortality. More epidemiological and clinical studies addressing trends of mortality in patients with different sociodemographic and clinical profile and the improvement of clinical outcomes are required. Future research may address the safety and efficacy of interventions specifically in female patients.

scholarly journals The Association Between Alkaline Phosphatase and Neurological Outcome in Patients with Post-cardiac Arrest: a Secondary Analysis of Data from Belgium

2021 ◽  
Author(s):  
jiacheng he
Keyword(s):  
Alkaline Phosphatase ◽  
Logistic Regression ◽  
Cardiac Arrest ◽  
Neurological Outcome ◽  
Regression Models ◽  
Secondary Analysis ◽  
Adverse Outcomes ◽  
Blood Biomarkers ◽  
Logistic Regression Models

Abstract Background: Prognostication of the unfavourable neurological outcome(UNO) after Cardiac arrest(CA) is multimodal while blood biomarkers are an attractive option.Serum alkaline phosphatase(ALP) is shown to be associated with ischemic stroke and considered as an independent prognostic factor for long-term functional outcome after acute cerebral infarction.We aimed to study the association between ALP and UNO in 3 months in patients after CA.Methods:Review of consecutive patients admitted to the ICU at Erasme Hospital, Brussels (Belgium) following CA between January 2007 and December 2015. The outcome was the UNO in 3 months. We used multivariable logistic regression models to calculate the adjusted odd ratio (OR) with 95% confidence interval(CI). Interaction and stratified analyses were conducted according to Shock,Dobutamine.used,Hypertension,Cardiac.Etiology and Shockable.Rhythm.Results: We included 374 CA patients. The multivariate logistic regression analyses revealed that the risk of UNO in 3 months after CA was significantly associated with ALP.When ALP was Equal is divided in 3 groups, the risk of ALP>91 level and adverse outcomes was 1.7407 times of ALP<64 level (P for trend=0.19709).In the non-hypertension group, the risk of adverse outcomes increased with increased ALP by 1.018 (1.0041.01,1.032).Conclusions: ALP is an independent risk factor for the UNO in 3 months after CA, especially in non-hypertension. Elevated ALP was significantly associated with increased UNO in 3 months after CA. However, the prediction significance of ALP for long-term neurological outcome in patients after CA is needed further studied.

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