Background
The world is rapidly aging. It is predicted that the proportion of people aged 60 and above in the global population will double from 11 % to 2006 to 22 % by 2050[
1]. The pace of population aging is much faster in China than in many other countries[
2]. According to data published by the National Bureau of Statistics of China, 18.1 % of the total population was aged 60 years and above in 2019[
3]. The rapid growth of the elderly population in China has brought about major challenges to public health and social care services. Therefore, simple and valid measures for the evaluation and prediction of health status in older adults are needed to address the financial burden of an aging population on social and health care services[
4]. Self-rated health (SRH) has been one of the most frequently used variables in gerontological and health research since the 1950 s[
5]. The main advantage of using SRH is that it is one of the most feasible and inclusive measures of peoples’ health statuses[
6]. Moreover, it is simple, affordable, and globally implemented. SRH, as a comprehensive health evaluation index, is generally a good predictor of morbidity and mortality among older adults[
7]. Considering that females routinely outlive males, it is important to study gender as a basis of differentiation in the study of the elderly population, and specifically, to identify how gender affects SRH[
8].
A large body of life-cycle analysis research has shown that females consistently report worse SRH than males, yet still tend to outlive them[
9‐
12]. However, gender differences in SRH among older adults have yet to be properly explored. In general, there are two ways to estimate the SRH between males and females, namely using cross-sectional data or longitudinal data.
Previous studies have used cross-sectional data or pooled data to generalize various patterns of gender differences in SRH. Extensive research has shown no gender differences in SRH of older adults[
8,
13‐
16]. For example, a study of Slovenia, Lithuania, and the UK showed that the most influential factors associated with poor SRH were low education, chronic diseases, inadequate physical activity, and poor mental health, not gender differences[
17]. Similarly, the other two studies based on the Chinese Longitudinal Healthy Longevity Survey (CLHLS) suggested no gender differences in SRH[
18,
19]. However, some studies using CLHLS data have revealed contradictory findings which show that older males report better SRH than older females[
20‐
24]. Although cross-sectional studies have great explanatory power, they are subject to two limitations. First, cross-sectional studies do not focus on the stability of changes in SRH among older adults. Second, cross-sectional associations tend to overestimate some factors affecting health inequalities[
25].
For a decade, an increasing number of longitudinal studies on health inequalities have also been carried out. These studies with two and more time points have shown a slow decline in SRH trajectories across adulthood[
25‐
28]. However, little is known about how gender differences affect the aging process[
29]. A few studies have produced mixed results on the direction of the relationship between gender and SRH in older adults. Some suggested no gender difference at all in SRH at baseline, but a faster decline for males in SRH over time[
30‐
33]. Other studies showed that older males tend to report better SRH than older females, but could not distinguish the rate of SRH between them[
34]. A Chinese study using CLHLS data supported the latter findings by showing that elderly females reported worse SRH than elderly males, and a decreasing trend of SRH from slow to fast[
35]. The existing literature on the trajectory of SRH between older females and males is controversial. Little is known about the factors that influence the trajectory of gender differences in SRH.
Most of the previous studies on the trajectory of gender differences were based on the experience of developed countries, so there is insufficient research on gender differences in developing countries. Furthermore, longitudinal studies, especially those that focused on older adults, typically suffer from the incompleteness of data. Previous longitudinal studies often assumed a missing at random (MAR) mechanism, and they excluded cases with missing data directly for analysis. However, there are many situations in which dropouts are missing not at random (MNAR), especially in research related to older adults, because participants might have died during the study or were too frail to participate in follow-up surveys[
36]. When assuming a MAR mechanism, the SRH is associated with mortality among older people, which might lead to some bias in the estimation of the SRH trajectory[
37] if the deceased people are included for analysis. However, when assuming an MNAR mechanism, ignoring dropout data can lead to too optimistic inferences, and the growth modeling of longitudinal data with dropout becomes significant[
38]. In this case, the effect of dropout data on the trajectories of SRH among Chinese older adults is unknown.
To our knowledge, few studies have examined the longitudinal association between gender and SRH among Chinese older adults. Therefore, this study is crucial in the fight against health inequalities among older adults, which aims to examine gender differences in the trajectories of SRH statuses in Chinese older adults. This study uses data from the CLHLS to examine the following questions: (1) Do the missing data have an impact on the gender trajectory of Chinese older adults? and (2) Do SRH trajectories vary by gender among Chinese older adults?
Discussion
This study used a quadratic PMM to examine two questions: (1) Do the missing data have an impact on the gender trajectory of the Chinese older adults? and (2) Do SRH trajectories vary by gender among Chinese older adults? The data were from a national random sample of older adults aged 65 years and above across 22 provinces in China, collected from 2005 to 2014. Four main results can be discussed.
First, this study supports the argument that gender differences in SRH trajectory among older adults needs to consider the impact of dropout data. Previous longitudinal studies based on older adults often did not explicitly illustrate the missing data[
16,
30,
31,
35], or deleted the cases with missing data directly, which often assume a missing at random (MAR) mechanism. Due to the longitudinal nature of the data, there is the problem of sample loss, which may introduce serious deviations in any analysis. This study showed that previous SRH score was negatively associated with the likelihood of dropping out of the study at the next follow-up survey. Generally speaking, longitudinal studies focusing on older adults often suffered from the incompleteness of data since subjects who initially rejoined the study failed to participate in one or more subsequent waves. In this study, dropout was missing not at random because dropout was related to past outcome. Previous studies suggested that including decreased people would lead to sampling errors and bias in the estimation of the outcome trajectory, especially if SRH is associated with mortality[
37]. So, PMM are important options to consider, especially when outcome-related dropout seems believable[
36].
Second, under non-ignorable dropout data assumptions, no gender differences were found in trajectories of SRH among Chinese older adults. Nonetheless, the role of gender in SRH related longitudinal analysis research remains ambiguous[
30,
55]. For example, an American study using data that spanned 12 years (1992–2004) found among middle and old age adults that there was no gender difference in SRH at baseline and that SRH declined faster for males over time[
32]. Similarly, a Chinese longitudinal study using data that spanned 12 years (2002–2014) found that elderly females had a worse initial state of SRH than did male elders[
35]. Unlike prior studies on SRH trajectories, this study showed that both males and females in China perceive their health as decreasing over time, but there was no gender difference in SRH at baseline and in the rate of decline among the total sample. Conflicting results may be due to sampling population difference or researching time differences in those studies, or methodological problems such as ignoring missing data.
Third, although there is no gender difference in the trajectories, the average SRH of females is lower than that of males. The present study showed that higher income, greater participation in social activities, age, current drinking, residence (rural vs. urban), and healthcare accessibility are positively associated with the SRH of older adults, while poor health status was negatively associated with both males and female SRH across almost every survey time point. Thus, social disadvantage might be an important reason for females’ poorer SRH. For example, a high SRH score is associated with a higher socioeconomic status, i.e., generally male tender to with more social resources, so they are more likely to be in good health status in our society[
46,
56]. Gender differences also exist in the exposure to physical activity, cognitive capacity, various lifestyle behaviors, and psychosocial factors[
46,
57]. Good follow-up of SRH is also related to having greater social support[
58], with poor follow-up of SRH being predicted by one’s health status (e.g., having a high number of illnesses, low levels of physical activity, difficulties in activities of daily living)[
31,
59].
Finally, performing the analysis by gender of the respondent, the results show that males and females respond to SRH predictors similarly. Education could not predict the intercept, slope, or quadratic of SRH; age, income, health services, and social activities are positively associated with both males and female SRH, while health status factors were negatively associated with both male and female SRH. The result is consistent with most studies on SRH trajectories in the general adult population or aging population[
15,
25,
29,
46]. However, our study found current drinking to have a more pronounced positive effect on males and health services to have a more pronounced positive effect on females. Recent research showed that alcohol consumption can’t bring significant health benefits[
60]. The reason of current drinking differentially affected these two genders might be males, in the higher level of health status, are more prefer to drink alcohol comparing with females in China[
61]. In this study, although there is no difference in healthcare accessibility between males and females, the positive effect of health services accessibility on females’ SRH assessment is more obvious. It might be because when in the same health services accessibility, females have higher medical care service utilization[
62], which might benefit to their health maintenance.
Study limitations and recommendations for future research
There were several limitations to this research. First, this study used only SRH measurement. Health indicators are multidimensional, including both objective and subjective factors. Hence, future studies should include objective measures to assess health based on gender. Second, psychosocial factors are also patterned according to gender. Peoples’ experiences of chronic stress and their level of psychological resources are rooted in the socio-structural context of their lives. Future studies should introduce psychological variables to test gender differences in health statuses. Third, this study was unable to eliminate the possibility of reverse causality. Although this study lagged variables when possible, it is possible that the SRH affected the covariates included in the analysis. For example, because changes in current drinking are taking place at the same time as changes in SRH, it is possible that changes in SRH influenced current drinking. Finally, interdisciplinary research needs to be strengthened, as health studies have failed to adequately explore the combination of social and biological aspects in the differences between male and female health statuses.
Conclusions
The results of this study showed that (1) missing data had an impact on the gender trajectory of the Chinese older adults, and SRH was negative associated with the dropout (2) under non-ignorable dropout data assumptions, no gender differences were found in SRH trajectories among Chinese older adults (3) males and females respond to SRH predictors similarly, except for current drinking and health services. Based on these results, we make the following recommendations for future policymaking and service implementation efforts. First, the health level of older adults in China has shown a declining trend, so the government and the local care communities should provide more health services to meet their health needs. Second, public policies must continue to address the cause and consequences of the social disadvantages that older females face. Third, public policy makers should pay attention to the health needs of both males and females, who may be at an increased risk of disability and illness. Finally, the management of health status should be strengthened, the accessibility of health services should be improved, and gender inequality should be reduced since these factors are conducive to improving the health of both genders.
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