A clear understanding of the concept of maternal sensitivity could be useful for developing ways to enhance maternal sensitivity and to maximize the developmental potential of infants. Knowledge of the attributes of maternal sensitivity identified in this concept analysis may be helpful for constructing measuring items or dimensions.

Since 2011, the Seoul Metabolic Syndrome Management (SMESY) program has been employed as a community-wide, lifestyle modification intervention in Seoul, Korea. We aimed to determine if the SMESY intervention would be significantly associated with improvements in metabolic syndrome (MetS) risk factors. This retrospective database study included data from 25,449 participants aged 30–64 years between 1 January 2013 and 30 June 2013. In the SMESY program, 3 risk-stratified groups by the number of MetS factors were followed for 12 months with different intensity and timeframe of intervention. Among the high-(n = 7116) and moderate-risk groups (n = 14,762), all MetS factors (except triglycerides among the moderate-risk group) as well as MetS z-scores significantly improved over 12 months (all p < 0.05). Among the low-risk group (n = 3571), all factors aggravated significantly over 12 months (all p < 0.05). We observed temporal associations between the implementation of the SMESY program and improvements in MetS risk factors. However, such improvements differed by risk-stratified group, being most robust for the high-risk group, modest for the moderate-risk group, and aggravated for the low-risk group. Thus, more intensive interventions targeting different risk-stratified groups are needed, given a better understanding of the increase in risk factors observed in the low-risk group.

This paper aims to develop and analyze the effects of a socio-ecological model-based intervention program for preventing metabolic syndrome (MetS) among office workers. The intervention program was developed using regular health examinations, a “health behavior and need” assessment survey among workers, and a focus group study. According to the type of intervention, subjects took part in three groups: health education via an intranet-based web magazine (Group 1), self-monitoring with the U-health system (Group 2), and the target population who received intensive intervention (Group 3). The intervention programs of Group 1 and Group 2, which relied on voluntary participation, did not show significant effects. In Group 3, which relied on targeted and proactive programs, showed a decrease in waist circumference and in fasting glucose (p < 0.001). The MetS score in both males (−0.61 ± 3.35 versus −2.32 ± 2.55, p = 0.001) and females (−3.99 ± 2.05 versus −5.50 ± 2.19, p = 0.028) also showed a statistically significant decrease. In light of the effectiveness of the intensive intervention strategy for metabolic syndrome prevention among workers used in this study, companies should establish targeted and proactive health care programs rather than providing a healthcare system that is dependent on an individual’s voluntary participation.

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The purpose of this ethnic group study was to describe the unique pattern of Korean Americans, as compared with the aggregate of Asian Americans, for: (a) the predisposing, enabling, and need factors for health service utilization, focusing specifically on the role of health insurance coverage; and (b) predictors of health insurance coverage. Using the behavioral model for health service utilization, data were selected from the 1992 National Health Insurance Survey (NHIS, 1994) for Korean Americans (n = 345) and Asian Americans (n = 3,059). Results differed between the Korean American group and the Asian American group. Health insurance coverage was the strongest predictor of Korean American utilization, and need factors lacked significance, suggesting that uninsured Korean Americans have less access regardless of need. For the aggregate Asian American group, need factors tempered the influence of health insurance on utilization. Results of this type of study may be helpful for designing and implementing health care services tailored for specific ethnic at-risk markets.

N urse clinicians, researchers, faculty, health service administrators, and consultants are often advocates for public policy solutions to health problems they confront. To advocate for a policy proposal, nurses cite relevant health policy studies with valid and reliable recommendations. Many policy studies use government and nongovernmental data sets collected for another purpose. This overview of health policy secondary data research methodologies is intended to complement nurses' more extensive knowledge of primary data research methodologies used in clinical research. This background on the purpose of policy studies, preference for existing data, common data sources, and analytic methodologies may stimulate nurses' use of health policy studies and reports to inform the policy decisionmaking process and influence health policy. PURPOSE OF POLICY STUDIESHealth science research studies for causal links and potential solutions to clinical, managerial, or population problems feed policy research. Policy studies draw on problem-oriented research results and recommendations to sort out the relative risk and benefits of alternative proposals in order to address a salient issue (Kingdon, 1995;Young, 1997). The time frame and target audience of policy research differs from problem-focused research.

The purpose of this study is to outline a method to identify the characteristics of socioeconomic variables in determining the differences in health insurance coverage and health services utilization patterns for different ethnic groups, using the behavioural model of health service utilization. A sample drawn from Asian American adult respondents to the 1992, 1993, and 1994 National Health Interview Surveys (NHIS) in the USA formed the data set. The results showed Asian Americans as not being homogeneous. There were distinctly different demographic and socioeconomic characteristics between six Asian American ethnic groups that affect health insurance coverage and health service utilization. The study method is useful for constructing health policy and services to address the general public need without adversely affecting smaller minority groups. Secondary analysis of well-constructed national data sets such as the specific Asian ethnic groups in NHIS, offers a rich method for predicting the differential impact of specific health policies on various ethnic groups.

Suicidal ideation has been reported to be a major factor in attempted and completed suicides. The purpose of this study is to test a structural model to explain adolescent suicidal ideation. Specifically tested is the relationship between the predictor variables of trait anger, anger suppression, entrapment, psychosomatic symptoms, depression, and resilience and the dependent variable of suicidal ideation. Data are collected from a convenience sample of 11,393 students from 36 middle schools and 23 high schools in Korea. Trait anger, entrapment, psychosomatic symptoms, depression, and resilience have a direct effect on suicidal ideation whereas anger suppression shows a significant indirect effect on adolescent suicidal ideation. The predictor variables account for 39% of the variance in suicidal ideation. The study findings suggest that future programs for prevention or alleviation of adolescents' suicidal ideation need to use interventions that facilitate their resilience and reduce their anger, entrapment feeling, psychosomatic symptoms, and depression.