INFLUENCING FACTORS AND COUNTERMEASURES OF THE CHANGE OF POPULATION DEPENDENCY RATIO IN YUNNAN PROVINCE FROM THE PERSPECTIVE OF EMOTIONAL REGULATION OF POSITIVE PSYCHOLOGY

• Published in: The international journal of neuropsychopharmacology Vol. 25; no. Supplement_1; pp. A85 - A86
• Main Authors: Li, Li, Feng, Qing
• Format: Journal Article
• Language: English
• Published: US Oxford University Press 08.07.2022
• Subjects: Abstracts; Aging; Birth rate; Economic conditions; Economic development; Economics; Emotional regulation; Emotions; Happiness; Life expectancy; Life satisfaction; Middle age; Older people; Population growth; Population structure; Psychology; Unemployment; Urbanization; Variance analysis; China; Yunnan China
• DOI: 10.1093/ijnp/pyac032.116
• ISSN: 1461-1457

Abstract Background After China entered an aging society and gradually implemented the two child and three child policy, the population dependency ratio and population structure of Yunnan Province have changed. According to the data of the seventh national census, the age structure of the population in Yunnan Province is unreasonable, the aging process is accelerated, and there are intergenerational conflicts and contradictions in the upbringing relationship between the elderly and young people, especially negative factors, which also have a significant impact on the social and economic development of Yunnan Province. Research Objects and Methods In order to understand the new changes and their causes, this paper uses the population data of Yunnan Province from 1999 to 2019, as well as variables such as total population dependency ratio, resident happiness index, natural population growth rate, unemployment rate, average life expectancy, urbanization rate, child birth rate, birth rate, social security and employment expenditure, which are selected from the perspective of positive psychology. Through the preprocessing, correlation and multicollinearity test of time series data, the ADL model is established to analyze the changes of population dependency ratio and structure in Yunnan Province, and explore the influencing factors and degree from the perspective of positive psychological emotion regulation. The life satisfaction scale is the life satisfaction scale (SWLS) compiled by dinner et al. There are five items in the scale, which are scored by Likert 7 points. 1 ~ 7 represent “very disagree” to “very agree” respectively. Calculate the average score of the five items. The higher the score, the higher the degree of life satisfaction. The internal consistency of life satisfaction scale in this study α the coefficient is 0.820. Results Through the intuitive analysis of the population data of Yunnan Province from 1999 to 2019, the results showed that the dependency ratio of the total population in Yunnan Province decreased slowly. The dependency ratio of children decreased rapidly, while the dependency ratio of the elderly increased slowly. Yunnan may enter the dilemma of “getting old before getting rich”. Whether now or in the future, it will pose great challenges to economic, social and public governance, especially to the establishment of harmonious family intergenerational relations. Through the analysis of ADL model, the results show that the changes of population dependency ratio and population structure in Yunnan Province are affected by factors such as residents' happiness index, unemployment rate, life expectancy and urbanization rate. The impact of residents' happiness index on population dependency ratio is long-term. The simple effect analysis of interaction found that for the non depressed population, there were significant differences in the emotional state of the subjects in the frustration inducing stage among the control group, conscious distraction group and unconscious distraction group (f (2,51) = 11.98, P < 0.001), η p2=0.52). Bonferroni's post hoc test showed that the scores of PA in conscious attention dispersion group (P < 0.001) and unconscious attention dispersion group (P < 0.05) were significantly higher than those in control group (M = 25.03, SD = 4.14), while there was no significant difference between unconscious attention dispersion group (M = 36.13, SD = 7.47) and conscious attention dispersion group (M = 37.33, SD = 6.93) (P = 0.67). It can be further seen from Figure 5 that both conscious and unconscious attention dispersion can effectively improve the positive mood of non depressed people. For depressed people, there was significant difference in emotional state among control group, conscious attention dispersion group and unconscious attention dispersion group after frustration induction (f (2,51) = 7.02, P < 0.05, η p2= 0.39). Bonferroni's post hoc test showed that the score of PA in unconscious attention dispersion group (M = 33.17, SD = 7.41) was significantly higher than that in control group (P < 0.05) and conscious attention dispersion group (P < 0.05), while there was no significant difference in emotional state between control group (M = 22.94, SD = 3.85) and conscious attention dispersion group (M = 27.29, SD = 6.73) (P = 1.00). It shows that only unconscious attention dispersion can effectively improve the positive emotion of depressed people. Similarly, ANOVA was performed on the negative emotion index Na of Panas. The results showed that group (f (2111) = 8.41, P < 0.05, η the main effect of P2 = 0.18) was significant, the main effect of population (f (1111) = 1.98, P = 0.17) was not significant, and the interaction of group * population was not significant (f (2111) = 2.60, P = 0.08). After the scores of trait anxiety, state anxiety, expression inhibition, acceptance and action scale were included in the covariates, only the main effect of the group was significant (f (2107) = 11.73, P < 0.001), η p2=0.32). Bonferroni's post hoc analysis of the main effect of the group showed that the scores of Na in conscious attention dispersion group (P < 0.001) and unconscious attention dispersion group (P < 0.001) were significantly lower than those in the control group (M = 27.21, SD = 8.49), while there was no significant difference between conscious attention dispersion group (M = 20.16, SD = 7.26) and unconscious attention dispersion group (M = 19.19, SD = 5.11) (P = 0.62) This shows that both conscious and unconscious attention dispersion can effectively reduce the self-assessment intensity of negative emotions, and their regulatory effects are similar for depressed and non depressed people. Conclusion Therefore, from the perspective of positive psychology, this paper puts forward the ways to improve the effect of young and middle-aged childbearing age in Yunnan Province from the aspects of developing individual positive psychological quality, improving family members' subjective well-being and improving the effect of young and middle-aged childbearing age in Yunnan Province. Create harmony between man and social environment. It aims to help Yunnan society, families and families establish harmonious parent-child relations for generations and promote the coordinated development of social economy in Yunnan Province. Acknowledgements Supported by a project grant from national Innovation and entrepreneurship training program (Grant No. DCXM165002).