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Original Article
- Associations Between Preschool Education Experiences and Adulthood Self-rated Health
- Jeehye Lee, Jinwook Bahk, Young-Ho Khang
- J Prev Med Public Health. 2017;50(4):228-239. Published online May 10, 2017
- DOI: https://doi.org/10.3961/jpmph.16.110
- 6,966 View
- 206 Download
- 1 Crossref
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Abstract
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Supplementary Material - Objectives
This study aimed to examine the association between preschool education experiences and adulthood self-rated health using representative data from a national population-based survey. Methods: Data from the Korean Labor and Income Panel Study in 2006 and 2012 were used. A total of 2391 men and women 21-41 years of age were analyzed. Log-binomial regression analyses were conducted to examine the associations between preschool education experience and self-rated health in adulthood. Parental socioeconomic position (SEP) indicators were considered as confounders of the association between preschool education experience and adulthood subjective health, while current SEP indicators were analyzed as mediators. Age-adjusted prevalence ratios (PRs) and the associated 95% confidence intervals (CIs) were estimated. Results: Compared with men without any experience of preschool education, those with both kindergarten and other preschool education experiences showed a lower prevalence of self-rated poor health (PR, 0.65; 95% CI, 0.47 to 0.89). In women, however, such an association was not evident. The relationship of preschool education experiences with self-rated poor health in adulthood among men was confounded by parental SEP indicators and was also mediated by current SEP indicators. After adjustment for parental and current SEP indicators, the magnitude of the associations between preschool education experiences and adulthood subjective health was attenuated in men. Conclusions: Preschool education experience was associated with adulthood self-rated health in men. However, this association was explained by parental and current SEP indicators. Further investigations employing a larger sample size and objective health outcomes are warranted in the future. -
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Citations to this article as recorded by
- Self-rated health and its determinants in patients with hypertension in Isfahan in 2019
Asieh Mansouri, Alireza Khosravi Farsani, Noushin Mohammadifard, Fatemeh Nouri, Mahnaz Jozan, Ghazaal Alavi Tabatabaei, Rezvan Salehidoost, Hamed Rafiee
BMC Public Health.2024;[Epub] CrossRef
English Abstract- Impact of an Early Hospital Arrival on Treatment Outcomes in Acute Ischemic Stroke Patients.
- Young Dae Kwon, Sung Sang Yoon, Hyejung Chang
- J Prev Med Public Health. 2007;40(2):130-136.
- DOI: https://doi.org/10.3961/jpmph.2007.40.2.130
- 4,446 View
- 37 Download
- 4 Crossref
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Abstract
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- OBJECTIVES
Recent educational efforts have concentrated on patient's early hospital arrival after symptom onset. The purpose of this study was to evaluate the time interval between symptom onset and hospital arrival and to investigate its relation with clinical outcomes for patients with acute ischemic stroke. METHODS: A prospective registry of patients with signs or symptoms of acute ischemic stroke, admitted to the OO Medical Center through emergency room, was established from September 2003 to December 2004. The interval betwee symptom onset and hospital arrival was recorded for each eligible patient and analyzed together with clinical characteristics, medication type, severity of neurologic deficits, and functional outcomes. RESULTS: Based on the data of 256 patients, the median interval between symptom onset and hospital arrival was 13 hours, and 22% of patients were admitted to the hospital within 3 hours after symptom onset. Patients of not-mild initial severity and functional status showed significant differences between arrival hours of 0-3 and later than 3 in terms of their functional outcomes on discharge. Logistic regression models also showed that arrival within 3 hours was a significant factor influencing functional outcome (OR=5.6; 95% CI=2.1, 15.0), in addition to patient's initial severity, old age, cardioembolism subtype, and referral to another hospital. CONCLUSIONS: The time interval between symptom onset and hospital arrival significantly influenced treatment outcome for patients with acute ischemic stroke, even after controlling for other significant clinical characteristics. The findings provided initiatives for early hospital arrival of patients and improvement of emergency medical system. -
Summary
Citations
Citations to this article as recorded by- Computer Aided Diagnosis Applications for the Differential Diagnosis of Infarction: Apply on Brain CT Image
Hyong-Hu Park, Mun-Joo Cho, In-Chul Im, Jin-Soo Lee
Journal of the Korean Society of Radiology.2016; 10(8): 645. CrossRef - The Visiting Time of Acute Cerebral Stroke Patients in a City and Its Influencing Factors
英 方
Nursing Science.2016; 05(04): 81. CrossRef - Stroke Education: Discrepancies among Factors Influencing Prehospital Delay and Stroke Knowledge
Yvonne TeuschI, Michael Brainin
International Journal of Stroke.2010; 5(3): 187. CrossRef - Notfall Schlaganfall
T. Steigleder
Notfall + Rettungsmedizin.2008; 11(3): 166. CrossRef
Original Article- Twelve-year Study on Body Mass Index Changes of Obese Adolescents.
- Yun Ju Kang, Il Suh, Chang Ho Hong, Jong Ku Park
- Korean J Prev Med. 1994;27(4):665-676.
- 2,010 View
- 21 Download
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- The purpose of this study is to observe the longitudinal changes in BMI (Body Mass Index) of obese and non-obese 3rd. grade high school students in Seoul for 12 years and to see the trends of overt weight gain in obese adolescents. The results are as follows; 1. The average annual increasing rates of body mass indices in male students were 1.14kg/m2 in obese group and 0.59 in non-obese group. In female students, the average annual increasing rates of body mass indices were 0.93kg/m2 in obese group and 0.53kg/m2 in non-obese group. 2. The change rate of BMI for 12 years was significantly higher in obese group than non-obese group. 3. Puberty had less influence on the change rate of BMI in obese group compared to non-obese group. 4. In obese group, 71.8% of the variance in BMI at 17 can be predicted by BMI at 16 years in male students. In female students 44.4% can be predicted by BMI at age 16. 5. Among the 17-year-old obese students, 58.8% of the males and 56.2% of females were found not to have been obese at 7 years of age. 6. Among the 17-year-old obese students, those who were obese at 7 years of age were found to have higher BMI at later ages than those who were in the non-obese group. Obese adolescents were more likely to be obese in their childhood than non-obese group. There was no optimal age for the significant weight gain and the increasing rate of BMI was constantly higher in obese group than in non-obese group. Due to the fact that child obesity in early age contributes to obesity in adolescence, close observation is advised on the other hand, a large proportion of obese adolescents can be preventable by early interventions, because about 50% of obese adolescents were not obese in early elementary school age.
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