No. 66, Journal of Population StudiesPublished: 2023.06


Contents


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Special Topic Articles: Spatial Demography

DOI : 10.6191/JPS.202306_(66).0001

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spatial heterogeneity, spatial autocorrelation, life expectancy, leading causes of death, explanatory data analysis
Abstract
Taiwan is not a large country, but the discrepancy in life expectancy between areas is quite obvious. For example, in 2021, the difference in male life expectancy between Taipei City and Taitung County, a remote part of the southeast coast, is 9 years. We expect that the difference between regions will become smaller with the increasing reach of public resources. There is data through which this can be explored. Spatial heterogeneity can be used to explore regional inequality; there are three types of tests for checking spatial heterogeneity: global test, local test, and focused test. The global test can be used to test whether the data are spatially homogeneous; the local test is usually used to detect the location of high-risk areas (i.e., clusters); and the focused test can be used to confirm whether there are high incidence rates around a specific area. In this study, we select three common heterogeneity tests: Moran’s I (global test), SaTScan (local test), and Tango score test (focused test), and evaluate whether these methods can detect spatial autocorrelation and/or clusters via simulation and empirical analysis. The simulation study is performed on a two-dimensional space, with lattice data of size 5 × 5, 7 × 7, 9 × 9, …, 21 × 21, under the assumption that the data should satisfy spatial homogeneity, spatial autocorrelation, and clustering. The empirical data considered are the overall township-level and major cause mortality rates in Taiwan. We found that these methods provide similar results in checking spatial homogeneity. Moran’s I is the most sensitive test for spatial autocorrelation, and SaTScan is the best for testing the existence of clusters, followed by Tango score test. We also apply these methods to the mortality rates of the top three major causes of death (cancer, heart disease, and pneumonia) in Taiwan. We found that they change steadily, with the difference in mortality rates between two consecutive years satisfying spatially heterogeneity, while most clusters of mortality rates are located in the southeastern mountain areas. In general, there are still regional inequalities in the main causes of death.
Keywords: spatial heterogeneity, spatial autocorrelation, life expectancy, leading causes of death, explanatory data analysis

DOI : 10.6191/JPS.202306_(66).0002

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childhood obesity, Taiwanese popular restaurants, handshaken drinks, Taiwanese fried chicken, Taiwanese braised dishes
Abstract
Taiwan ranks as the top nation for childhood obesity in Asia. Clarifying the risk factors for childhood obesity is increasingly an important environmental health issue for local communities. Based on the Longitudinal Investigation of Global Health in Taiwanese Schoolchildren (LIGHTS) database of Linkou Chang Gung Memorial Hospital, the obesityrelated body hormone index information for 1,383 schoolchildren aged 6-7 in 2016 was obtained in this study. The spatial distribution information for Taiwanese popular restaurants serving high-calorie foods such as handshaken drinks, Taiwanese fried chicken, and Taiwanese braised dishes was assessed through Google multi-platform. A generalized linear model was used to investigate the association between the spatial distribution of Taiwanese restaurants and obesity in primary school schoolchildren with the adjustment of the covariates. The results show a positive association between the level of leptin and the distribution of all three types of dining restaurants within a 200 m buffer range surrounding the children’s homes. The effects reached statistical significance (p < .05), specifically in the distribution of Taiwanese fried chicken and Taiwanese braised dishes. The results remained positive for several sensitivity tests and subgroup analyses.
Keywords: childhood obesity, Taiwanese popular restaurants, handshaken drinks, Taiwanese fried chicken, Taiwanese braised dishes

Research Articles

DOI : 10.6191/JPS.202306_(66).0003

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always-single, individual characteristics, living arrangements, family relations, social participation
Abstract
Over the past 30 years, marriage and birth behaviors have gone through tremendous change in Taiwan. Not only are people delaying marriage and birth, but rate of lifetime singlehood has increased as well, thus projecting a higher prevalence of the always-single. This study explores different aspects of the always-single, including their (1) demographic characteristics on the individual level, (2) living arrangements and family relations on the family level, and (3) social support and social participation on the societal level. We use six datasets from the Taiwan Social Change Survey 1991-2016 (included “Family” and “Gender” Modules), the “Social Network and Social Resources” Module in Taiwan Social Change Survey 2017, and Population and Housing Census of 1991, 2000, and 2010. In our samples, we divide marriage status into the “always-single,” who are single and have no children and the “ever-married,” which includes the married, separated, divorced, and windowed. To lower the influence of future change of marriage status, we limit the sample cohort to 40-59 years of age. Results show that (1) on the individual level, even though the influence of social and economic status on being single still exhibits gender differences, the image of single men being losers and single women being successful and careeroriented has weakened. (2) On the family level, the most obvious change is the decrease of single men living alone, and the increase of living with parents for both single men and women. Meanwhile, single children provide increased assistance to their parents, especially in the case of single women, which implies care for the elderly is still a women’s job. However, parents provide more assistance to single children than ever-married children as well. (3) On the societal level, the always-single have more social support than the ever-married, and this social support shows gender differences. Single men tend to seek help related to housework, while single women’s requests for help are more affection and emotion-based. The frequency of ever-married women going to gatherings other than with family members is the lowest. This supports the notion that women’s social contact drops drastically after marriage. For the frequency of engaging in social activities, single men are obviously lower than the others, which shows their tendency to shut themselves in at home.
Keywords: always-single, individual characteristics, living arrangements, family relations, social participation