In this large prospective community-based cohort study in China, we found that age, gender, ethnic group, education, primary occupation before retirement, current marital status, and place of residence were sociodemographic predictors of SWB among the Chinese oldest-old. Then, the health-related predictors of SWB included self-rated health, visual function, hearing function, diet quality, smoking status, and exercise status. Moreover, SWB was influenced by some social factors, such as co-residence, number of biological siblings, the number of children, leisure activities, financial independence, and access to adequate medical service. In particular, after adjustment for possible interactions in the multivariable-adjusted model, self-rated health, access to adequate medical services, exercise status, and place of residence still exert a stronger effect on SWB among the Chinese oldest-old than other factors.
Two variables deserve attention in our study, that is, age and gender. Their promotive and inhibitory effects on SWB were reversed in unadjusted analysis and multivariate analysis. Combined with the basic characteristics (Table 1), we think that the unadjusted effect is correct. Maybe because one of the predictors is a moderator of the relationship between age or gender and SWB. Consistent with a previous study , our findings showed that relatively younger octogenarians have a better SWB than centenarians. Among old people aged 45 to 97 years, positive affect demonstrated a linear decline with advancing age, while negative affect decreased until approximately 70 years, and thereafter gradually increased . To complement the previous study , our results highlight the need to distinguish the roles of differential health-related and social factors in determining SWB among octogenarians and centenarians. In line with other studies [6, 34, 35], we observed the gender difference in SWB among the oldest-old. Besides, there are significant gender differences in some predictors of SWB among the oldest-old. Compared to older women, older men had a higher proportion of being octogenarians and white-collar workers. Instead, older women were more likely to be illiterate and widowed. It is well known that women live longer than men. That's why men are more likely to be octogenarian and women have lost their husbands. In traditional China, parents usually placed more emphasis on the education and development of their sons than of their daughters . Our research is informative to gender-tailored interventions for a better SWB among the oldest-old.
The special cultural traditions, different values, and even strong religious beliefs of ethnic minorities may cause differences in SWB between ethnic minorities and Han nationality. Ethnicity also affects other key predictors of SWB, such as education, occupation, and place of residence. In agreement with previous studies [6, 11, 27, 34], older people with higher levels of education, white-collar work, and living in cities or towns have better SWB. Empirical evidence shows that education is positively related to psychological resilience, which can play a role in buffering various stressors [28, 36]. Primary occupation before retirement can reflect socioeconomic status to some extent, and it is also closely related to some predictive factors of SWB, such as financial independence, access to adequate medical service, and even diet quality. The accumulated savings, more pensions, and more social security can better support the life and psychological needs of the older. Widowed has been proved to be a predictor of loneliness and depression among the older [28, 37], as well as life satisfaction among the oldest-old . The death of a spouse means the loss of some psychological support and companionship in daily life, instead of emotional sadness . Our research recommended that the mental health of the widowed oldest-old need to be highly valued in the social support system. Compared to rural areas, the advantages of living in cities for better SWB are easy to explain. Residents in urban areas have easier access to better health care services and medical technologies , as well as a broader social network, more social activities, and more community services [27, 39].
Based on previous studies that reported the associations between self-rated health and one or more aspects of SWB [11, 34, 38, 40, 41], our study shows that self-rated health is a strong predictor of SWB among the oldest-old. However, the association of any kind of self-reported diseases and SWB among the oldest-old was weakened and became nonsignificant. Self-rated health measures something different from physician’s ratings but depending upon one’s hypothesis, which is ‘subjective’ or ‘perceived’ as opposed to ‘objective’ or ‘actual’ . Self-rated health does not decline with increasing age, to the same extent as chronic diseases and disabilities increase [42, 43]. Old people usually more positively assess their health than the middle-aged [42, 44]. Published researches have illustrated that there is a causal relationship between self-rated health and a series of psychological factors, such as self-esteem , depression [34, 41, 45], and loneliness [27, 46]. The self-concept hypothesis provides evidence for the stability of self-rated health, and it reflects one’s established beliefs about their health [40, 47]. Thus, our research advocates that social services should focus more on the oldest-old’s subjective perception of their health.
Similar to related studies [19, 48], our findings suggest that visual and hearing impairment has a significant negative impact on SWB of the oldest-old. Visual and hearing disabilities will adversely affect the interpersonal communication and activity of the daily life of older people [49, 50]. These disabilities can also cause older people to be fearful of or anxious about the unknown world that they can't see or hear. Our research reminds us to pay more attention to the mental health of the disabled old people. Similar to our research, the previous study has observed that frequent consumption of vegetables and fruit is associated with greater life satisfaction . Nutrition-related health problems include frailty, depression, visual function, chronic non-communicable diseases, and so on . Proper nutrition is a modifiable factor that ultimately improves health, prevents functional disability, and promotes one’s well being . To some extent, smoking can indeed make people relaxed and release some psychological stress. However, the damage of smoking to physical functions, such as increased risks of lung cancer, atherosclerosis, and stroke , makes it not recommended. Previous researches have indicated that physical activity is a significant and robust predictor of SWB among older adults [10, 17, 54]. Our study shows that this prediction is still applicable for the oldest-old. Physical activity is linked with the release of emotion-related neurotransmitters, including norepinephrine, dopamine, serotonin, and endorphins [10, 55]. Under the condition that the oldest-old physical function permits, close relatives and social workers should help them to participate in physical activities.
The present analysis was inconsistent with previous studies in that living alone was not predictive of SWB after controlling for confounding factors [54, 56]. That could be because the subjects in our study were aged 80 or older from China, not including the young-old (aged 65–79) or the persons from other countries. Instead, we found that living in institutions resulted in better SWB. Related study supported that participation in social activities reduced the negative well-being of older people living in institutions . Siblings relationship is almost the longest lasting in a person's lives, which plays an important role in social and emotional support in old age [57, 58]. There is robust evidence indicating that the sibling relationship is significantly related to the depression, anxiety, loneliness, and life satisfaction of older adults [57–59]. As observed in a recent paper, children are related to better SWB and lack of depression among the older . The roles of children in providing instrumental, emotional, and economic support for the older make them indispensable in the later stages of one’s life. In agreement with published articles, our findings showed that engagement in leisure activities will contribute to better SWB [60, 61]. Through participating in leisure activities, the oldest-old can meet life values and needs, build social relationships, feel positive emotions, and therefore enhance the well-being .
One novel finding from our study is that the oldest-old with financial dependence more likely to face worse SWB than others with financial independence. Related research has revealed that receiving financial support from adult children considerably increased male old people’s negative aspects . It was guessed that financial independence probably means autonomy, which is directly related to their SWB. Besides, for the oldest-old, their children are mostly at or near retirement age, thus they can only get little financial support from their children. One finding which needs to be taken seriously is that access to adequate medical service makes a powerful impact on SWB of the oldest-old. The older in remote, poor, rural areas and those left behind cannot get adequate medical service. The social phenomenon of “the difficulty in seeing a doctor” among the older is prevalent in China. Because of travel inconvenience and medical procedures cumbersome, it is difficult for old people to timely and quick access to medical services. Medical treatment may become major mental distress of the older. Because of this, relevant departments should actively provide convenient, low-cost, and effective medical and health services for older people, especially the oldest-old.
There are several strengths to our study. First, to the best of our knowledge, the present study is the first to carry out a systematic and comprehensive multifactor analysis on the predictors of SWB among the oldest-old in China. Second, the current study included a large and representative sample of the Chinese oldest-old, allowing a robust assessment for the predictor of SWB among this group. Third, this article carried on a preliminary exploration of all available and possible sociodemographic, health-related, and social factors, which were obtained through face-to-face surveys. Fourth, our results confirmed that SWB was significantly correlated with self-rated life satisfaction, optimism, happiness, personal control, conscientiousness, anxiety, loneliness, and uselessness. It is reasonable to infer that the predictors of SWB may have a similar effect on these dimensions. Finally, our findings may also apply to other populations in transition, particularly in East Asia and Southeast Asia (e.g. Malaysia, Nepal), where contextual background and cultures are similar to those in China, such as the breakdown of traditional family structures and the imperfection of social security systems .
This study has several limitations. First, those strong predictors of SWB among the oldest-old may interact with other variables, and we overestimate their effects on SWB by not adjusting the interactions. Continued efforts to explore these relevant interactions further will yield more robust and realistic predictive effects. Second, during the follow-up period from 1998 to 2014, great changes have taken place in China, such as the rise of the Internet and electronic information technology, the government’s greater concern for people’s livelihood, and the improvement of people’s quality of life. These changes will more or less have an impact on the content of this study. Subsequent studies suggest that study populations with a small-time span be selected. Third, in our study, SWB was not measured by the Satisfaction with Life Scale and the Positive and Negative Affect Schedule, which was more valid and reliable. The Cronbach’s α of our SWB scale was only 0.68, thus the reliability of the scale was defective. Finally, because of massive missing data, the study did not explore other possible predictors, such as household income, instrumental activities of daily living, community services, and so on. The effects of these factors can be discussed in future studies.