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This study analyzed the relationship between parents' son preference in a person's childhood and their health when they become older, and tested whether childhood educational opportunities, health level, and care resources play mediating roles in this relationship. China has entered a stage of aging population. The health of the elderly determines whether the government can successfully cope with the challenges brought about by the aging of the population. Chinese people are deeply influenced by Confucianism. The concept of "son preference" is related to residents' parenting strategies. Then, if one's parents exhibit a son preference in their childhood, will it affect one's health in old age? Based on the data of China Health and Retirement Longitudinal Study collected in 2014, this paper uses the least square method to analyze the impact of parents' preference in childhood for boys on the health of the elderly, and uses Karlson-Holm-Breen (KHB) to analyze the mediating effects of childhood educational opportunities, health level and care resources. This study found that parents' preference for boys had a positive impact on the health of male children when they became elderly but had a negative impact on the health of female children when they became elderly. Childhood educational opportunities, health level, and care resources mediated this relationship. It is necessary to analyze the impact of parents' preference for sons in one's childhood on the health of elderly, and intervene the adverse factors affecting the health, to improve the health level and quality of life of the elderly. • Parents' preference for boys had a significant impact on older people's health. • The effect relies on the mediating role of childhood education, health, and care resources. • The idea of prioritizing boys over girls be changed, to improve the health level of the elderly. [ABSTRACT FROM AUTHOR]

There is an increasing interest in using ordinal data collection methods, such as the best-worst scaling (BWS), to develop preference-based tariffs (value sets) for health-related quality of life instruments, yet the evidence on their performance is limited. This paper proposed to use an anchored BWS technique (in which the state of "death" served as an anchoring state) to directly develop a utility weight that lies on a scale anchored at 0 = death and 1 = full health for the Simplified Chinese version of the Short Form 6 Dimension version 2 (SF-6Dv2). An online panel from the general population of Mainland China completed an online survey between 20th July and 19th August, 2019 and 463 respondents were included in the main analysis. The Conditional Logit (CL) model, which assumes a homogeneous preference, as well as a Hierarchical Bayes (HB) model, which accounts for preference heterogeneity, were used to analyze the BWS data. The model performances were evaluated based on monotonicity and model-fit statistics. The majority of respondents indicated that the BWS questions were easy to understand and complete. Initial analyses suggested that the best and worst choices should not be pooled together. Based on model fit statistics of separated estimations and previous literature on health state valuation studies using BWS, the best choices were used for developing the final algorithm. The HB estimates were found to have better model performance than the CL estimates. This study provides an essential insight into using an anchored BWS approach in health state valuation. Furthermore, it demonstrates the advantage of using HB compared to the traditional CL model in producing preference values. • An anchored best-worst scaling technique has been used to develop preference weights directly. • Accounting for individual heterogeneity leads to a better model fit. • Incorporating respondents' views of attribute importance can improve model performance. • A Chinese online-panel-based scoring algorithm for SF-6Dv2 is developed. [ABSTRACT FROM AUTHOR]