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Monica Das Gupta, University of Maryland; Guo Zhen, Xi'an Jiaotong University; Li Shuzhuo, Xi'an Jiaotong University; 2013-001

Background Few studies have investigated the consequences of caregiving on the objectively measured physiological health outcomes in China. This study used population-based longitudinal data to examine the association between parental caregiving and blood pressure among Chinese women. Method This is a retrospective analysis of 2586 women using five waves of data from the Ever-Married Women Survey component of the China Health and Nutrition Survey (2000, 2004, 2006, 2009, and 2011). We applied growth curve models to examine trajectories of systolic blood pressure (SBP) and diastolic blood pressure (DBP) associated with parental caregiving among women in China. Results In multivariable analyses of blood pressure trajectories adjusting for potential confounders, parental caregivers had higher systolic (β-coefficient (β) = 1.16; p ≤ 0.01) and diastolic blood pressure (β = 0.75; p ≤ 0.01) compared with non-caregivers across multiple waves. Caregivers and non-caregivers had similar levels of systolic blood pressure at baseline, but caregivers exhibited relatively higher growth rate over time. Diastolic blood pressure was much higher among caregivers at the baseline measure, and across time relative to non-caregivers. Moreover, low-intensity but not high-intensity caregivers showed higher growth rate compared with non-caregivers for both SBP and DBP. Discussion Our results demonstrate the negative cardiovascular consequences of parental caregiving among Chinese women. Findings from the study can be used to develop future stress management interventions to decrease hypertension risk within women who provide care to their parents.

This study examined the changes in sleep duration (total sleep time, night‐time sleep and daytime naps) after retirement transitions in China using a panel dataset of the China Health and Retirement Longitudinal Study in 2011, 2013 and 2015 with a total of 48,458 respondents. Linear regression analysis with generalized estimating equations was employed to examine the changes in sleep duration after transitions between different types of employment status. After controlling for the confounders, the results showed that the retired population and the population working in agricultural sectors slept 8.02 ( p  < .01) and 5.19 ( p  < .01) minutes longer than the population working in non‐agricultural sectors, respectively. Employment transition also had significant effects on sleep duration. Transition from non‐agricultural sectors to retirement increased total sleep time by 13.58 ( p  < .01) minutes and also raised the probability of daytime naps by 18% (OR = 1.18,  p  < .01). Transition from agricultural employment to retirement did not significantly affect the total sleep time, but significantly increased the probability of daytime naps (OR = 1.12,  p  = .02). Reentering the non‐agricultural sectors for the retirees did not significantly affect night‐time sleep, but decreased the probability of daytime naps (OR = 0.73,  p  < .01) and daytime nap duration (by 5.26 min,  p  = .01). In conclusion, people in China increased their sleep duration after transitions to retirement, but the magnitudes were much smaller than those in Western countries. Differences may be attributed to an abundant amount of Chinese people working in agricultural sectors, the high volume of retired people reentering the work force and the large proportion of people in China that had daytime naps at baseline.

Living Arrangements, Social Networks and Depressive Symptoms Among Urban and Rural Older Adults in China

Implementation of the one-child policy and deep-rooted cultural preference for boys have together significantly increased both child abandonment and child abduction in China

Ginger Zhe Jin, University of Maryland, et al.; 2013-011

There may be over 20 percent more carbon emitted in China than is reported

Monica Das Gupta, University of Maryland // Keywords: Son preference, abortion bans, gender, policy measures, China, India; 2017-003

Ginger Zhe Jin, University of Maryland, et al.; 2013-012

China's Population: From Now to the Future