Comparison of Health Status and Life Satisfaction According to Food Security in Single-Person Households of Elderly Population.

This study analyzed the 2019 Community Health Survey data to compare and analyze the health levels and life satisfaction of single-person elderly households based on food security. The final study subjects were 15,606 single-person elderly individuals aged 65 and above. These subjects were classified based on their response to food security into three groups: food sufficient-diverse, food sufficient-not diverse, and food insufficient. The study results showed that the proportion of the food insufficient group among single-person elderly households was 7.4% for men and 10.6% for women, with a slightly higher rate for female elderly. Both male and female elderly over 80 years of age, with low education levels, and basic living support recipients showed significantly higher proportions in the sufficient-not diverse and food insufficient groups. For male elderly, significant differences were observed in subjective health status and oral health level in the food insufficient group, and for female elderly, stress levels also showed significant differences. Life satisfaction scores were generally lower for female elderly compared to male, and significant differences were found in both male and female elderly based on food security. Common factors that significantly influence life satisfaction among single-person elderly households, both male and female, include food security, subjective health status, and living environment satisfaction, with food security being the most impactful factor. The study suggests that it is necessary to include these significant factors in the development of various social activity programs, such as dietary programs, to enhance life satisfaction and food security of single-person elderly households.

Single Image Dehazing Using Color Ellipsoid Prior.

In this paper, we propose a new single-image dehazing method. The proposed method constructs color ellipsoids that are statistically fitted to haze pixel clusters in RGB space and then calculates the transmission values through color ellipsoid geometry. The transmission values generated by the proposed method maximize the contrast of dehazed pixels, while preventing over-saturated pixels. The values are also statistically robust because they are calculated from the averages of the haze pixel values. Furthermore, rather than apply a highly complex refinement process to reduce halo or unnatural artifacts, we embed a fuzzy segmentation process into the construction of the color ellipsoid so that the proposed method simultaneously executes the transmission calculation and the refinement process. The results of an experimental performance evaluation verify that compared with prevailing dehazing methods the proposed method performs effectively across a wide range of haze and noise levels without causing any visible artifacts. Moreover, the relatively low complexity of the proposed method will facilitate its real-time applications.

Adverse Childhood Experiences among a Community of Resilient Centenarians and Seniors: Implications for a Chronic Disease Prevention Framework.

CONTEXT: Research has linked adverse childhood experiences (ACEs) with chronic disease in adults and diminished life span. Adverse biological embedding of ACEs potentially occurs through inflammatory mechanisms; inflammatory marker alterations are identified as candidate biomarkers for mediating health consequences. Lifestyle practices of residents of California's Loma Linda Blue Zone, one of five worldwide longevity hotspots, may provide insight into inflammation remediation and chronic disease prevention. Little research has been done on centenarians' early-life experiences or on ACEs in a longevity community. OBJECTIVE: To interview centenarians and seniors in this region regarding their childhood experiences to inform chronic disease prevention frameworks. DESIGN: Qualitative study of Loma Linda Blue Zone community members. Childhood exposures and practices were assessed using focus groups and semistructured key informant interviews, with open-ended questions on general hardships and ACEs and supplemented with lifestyle and resiliency factor questions. Data were audiorecorded and transcribed. Integrative grounded theory methods guided coding and theming. MAIN OUTCOME MEASURES: Exposure to ACEs and practice of resiliency factors. RESULTS: Participants (7 centenarians and 29 seniors) reported exposure to multiple ACEs (domains: Economic deprivation, family dysfunction, and community violence). Community members reported practicing resiliency factors, each with anti-inflammatory properties suggesting mitigation of ACE-related toxic stress. CONCLUSION: This is one of the first studies of its kind to identify a community of resilient members despite their tremendous burden of ACEs. Embedding the identified resiliency factors into chronic disease prevention frameworks has potential for mitigating systemic inflammation, alleviating chronic disease burden, and promoting a culture of health.

Strategic Partnerships for Change in an Environmental Justice Community: The ENRRICH Study.

BACKGROUND: San Bernardino, California, is home to the San Bernardino Railyard (SBR), a major commerce hub with high associated air-pollution, identified as an environmental justice (EJ) issue by local community and air quality agencies. Alarmingly, one elementary school is located only a few hundred yards from SBR. METHODS: The school, university researchers, and a local community-based organization (CBO) established a partnership to assess potential adverse health impacts in the children and develop interventions and mitigation plans. RESULTS: Study results comparing target school with a demographically matched school verified community concerns finding significantly poorer respiratory health in children attending school near the railyard. Partners are working with local and state collaboratives, the school board, and funding agencies to address the resulting needs of children through education, mitigation, and prevention in an environment where necessary systems changes involving the railyard are elusive. CONCLUSIONS: This paper shares lessons learned in moving toward change when addressing an EJ community's health challenges.

Respiratory Health Risks for Children Living Near a Major Railyard.

Inland southern California is a region of public health concern, especially for children, given the area's perennially poor air quality and increasing sources of local pollution. One elementary school specifically is located only a few hundred yards from the San Bernardino Railyard, one of the busiest goods movement facilities in California, potentially increasing respiratory problems. Through ENRRICH (Environmental Railyard Research Impacting Community Health) Project, we assessed association of proximity to a major freight railyard on adverse respiratory health in schoolchildren. Respiratory screening was provided for children at two elementary schools: one near the railyard and a socio-demographically matched comparison school 7 miles away. Screening included testing for airway inflammation (FE NO), lung function (peak expiratory flow, PEF) and parent reported respiratory symptoms. Parental questionnaires collected additional information. Log-binomial and linear regression assessed associations. Children attending school near the railyard were more likely to exhibit airway obstruction with higher prevalence of abnormal PEF (<80%): prevalence ratio (PR) = 1.59 (95% CI 1.19-2.12). The association with inflammation was less clear. Children at the exposure school, who had lived 6 months or longer at their current address (vs. all children at that school) were more likely to have values suggesting inflammation (FE NO > 20 ppb) (PR = 1.44, 95% CI 1.02-2.02) and present with a trend for increased adverse respiratory symptoms. Children attending school near the railyard were significantly more likely to display respiratory health challenges. Ideally these low-income, low resource communities should be supported to implement sustainable intervention strategies to promote an environment where children can live healthier and thrive.

Video processing for human perceptual visual quality-oriented video coding.

We have developed a video processing method that achieves human perceptual visual quality-oriented video coding. The patterns of moving objects are modeled by considering the limited human capacity for spatial-temporal resolution and the visual sensory memory together, and an online moving pattern classifier is devised by using the Hedge algorithm. The moving pattern classifier is embedded in the existing visual saliency with the purpose of providing a human perceptual video quality saliency model. In order to apply the developed saliency model to video coding, the conventional foveation filtering method is extended. The proposed foveation filter can smooth and enhance the video signals locally, in conformance with the developed saliency model, without causing any artifacts. The performance evaluation results confirm that the proposed video processing method shows reliable improvements in the perceptual quality for various sequences and at various bandwidths, compared to existing saliency-based video coding methods.