# Study on Life Satisfaction of the Elderly Based on Healthy Aging

Authors: Hua Tian; Jie Chen
Journal: Journal of Healthcare Engineering
 (2022)

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## Abstract

The life satisfaction of the elderly is the key to subjective well-being and healthy aging. Many related studies are focused on the affected factors, including health status, economic level, social support, pension mode, social security, and intergenerational support, etc., but few are based on the macro perspective of healthy aging. This study constructed a healthy aging evaluation system with 6 dimensions, including 15 primary indicators and 57 secondary indicators, to evaluate the relationship between healthy aging and elderly life satisfaction. Results showed that the 13168 participants were, mainly, female (53.76%), 80–99 years old (47.99%), lived in rural areas (77.00%), married and living with their spouse (43.70%), and widowed (52.15%). 80.32% lived with household members. 70.37% elderly were satisfied with their lives. Specifically, there was no gender difference in life satisfaction of the elderly (p=0.273), but there were significant differences between groups of urban and rural (p<0.001), age groups of 65–79 and 80 older (p<0.001), marriage groups of unmarried and married (p<0.001), and types of elderly care of living alone and with others (p<0.001), respectively. Among the six dimensions of healthy aging, healthcare performed best and living environment dimension was the worst, which was an area that urgently needed to strengthen. The odds ratios (ORs) showed that the dimensions of social participation/social equity and economic finance played important roles in the well-being of the elderly. Under the macro background of healthy aging, how to take measures from the micro perspective of the healthy aging evaluation index system and ultimately improve the life satisfaction of the elderly and still needs to be explored in-depth.


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## Body

## 1. Introduction

To cope with global aging, the World Health Organization (WHO) has proposed a Decade of Healthy Aging 2020–2030 to promote the health of more than a billion people aged 60 and over [1]. The Chinese government has learned from and adopted the concept of healthy aging from the WHO, which defines healthy ageing as “developing and maintaining the functional ability to make older people well-being”. WHO stressed the need to create a world caring for the elderly, and the health system changed from a disease-based medical model to a comprehensive care model focusing on the needs of the elderly, especially, transportation, housing, social protection and support, urban development, information and communication, education, labor health and long-term care, and other multisectoral collaborative promotion [2].The aging process is a stage of the life cycle. In some cases, there are significant differences between individuals in the physical and cognitive state of the elderly [3], which leads to the loss of cognitive and physical abilities. Life satisfaction and physical activity are two key aspects of healthy aging [4]. Life satisfaction of the elderly is the concrete embodiment of subjective well-being and healthy aging [5], and the theoretical basis for the development of healthy aging and the implementation of the healthy China strategy in China. Some studies have been used to explain the life satisfaction of the elderly [6]. The main factors that affect the life satisfaction of the elderly are health status, economic level, social support, pension mode, social security, and intergenerational support, etc. One study has shown that life satisfaction and happiness increase with age [7]. The life satisfaction of the elderly living with their family is significantly higher than that of those living alone. Individuals with superior economic conditions and maintaining physical activity and social relations show higher life satisfaction than others [8]. The more chronic diseases the elderly have, the lower their life satisfaction [9]. Although a large number of studies have focused on the life satisfaction of the elderly, there are little studies on how to scientifically and reasonably quantify the healthy aging index and then carry out the life satisfaction evaluation of the elderly based on healthy aging. Based on previous research [10], six dimensions of medical care, health education, living environment, road transportation, social participation and social equity, economy and finance, including 15 primary indicators and 57 secondary indicators, were constructed to objectively evaluate the correlation of healthy aging with life satisfaction of the elderly, which covers 13168 elderly aged 65–117 in 23 provinces and municipalities directly under the Central Government in China, including 6089 males and 7079 females.


## 2. Methods

### 2.1. Participants

The participants were drawn from the Chinese Longitudinal Healthy Longevity Survey (CLHLS-2018), aged 65 and above. CLHLS randomly selected samples from 23 representative provincial cities and autonomous regions in China. After deleting the samples with missing and invalid variable values, 13168 effective samples were selected. CLHLS-2018, carried out by the China Center for Disease Control and Prevention and the Research Center for healthy aging and development of the National Development Research Institute of Peking University, aimed to determine the health status and factors of the elderly in many aspects, so as to find potential health problems.


### 2.2. Measures

The fully aligned polygonal graphical indexing method was used to deal with the situation of healthy aging in different provinces. The fundamental principle of the method is that indices are set up and the higher limit value of these indices is taken as the radius to construct a central inside shape [11]. See the literature for the specific calculation process [12].


### 2.3. Variables

The process of healthy aging in China includes 6 dimensions, 15 primary indices and 57 secondary indices (Table1). The data are from China Statistical Yearbook, China Urban Construction Statistical Yearbook and China Health Statistical Yearbook. If S < 0.5, 6 dimensions and 15 primary indices are defined as 0, or is defined as 1. The life satisfaction and health data of the elderly are from the Chinese Longitudinal Healthy Longevity Survey (CLHLS-2018), based on the questions of “What do you think of your life now”. This question has six answers of “very good”, “good”, “general”, “poor”, “very poor” and “I do not know”. When screening the samples, the participants who answered “I do not know” were eliminated. Thus, there were only five answers. When calculating the binary regression equation, “very good” and “good” were merged to be defined as 1. The other three were defined as 0.Table 1
Assessment index system of development level of healthy aging in China.
DimensionPrimary indicesSecondary indicesUnitHealth careMedical expenditure1. Per capita health expenditureYuan2. Proportion of medical and health expenditure in GDP%3. Proportion of per capita healthcare expenditure in per capita consumption expenditure%4. Urban and rural medical insurance participation rate%5. Resident hospitalization rate%Medical facilities6. Hospitals per 10000 peoplea7. Numbers of hospital beds per 1000 peoplea8. The rate of utilization of hospital beds%9. Numbers of beds in elderly care institutions per 1000 peopleaMedical service10. Numbers of doctors per thousand peoplea11. Registered nurses per 1000 peoplea12. Dependency ratio of elderly population%13. Proportion of health examination in the total population.%14. Proportion of the elderly in the number of health examination (Age ≥ 65)%Health educationHealth education service15. Health consultation and policy suggestionsa16. Public health education activitiesa17. Health column jointly with the mediaa18. Health information broadcast by mediaaHealth education materials19. Plane health material productiona20. Audio visual health materials×100021. Health mobile short message×100022. Health material×1000Health training23. Sponsored health websitea24. Health trainingaLiving environmentEnvironmental greening25. Per capita urban green space areaHectare26. Parks per 10000 peoplea27. Per capita park green space aream228. Greening coverage rate of built-up area%29. Urban population densityPerson/square kilometerResource processing30. Harmless treatment rate of domestic waste%31. Per capita emission of waste gas pollutantsKg/person32. Per capita water resourcesm3/person33. Per capita wastewater dischargeTon/person34. Sewage treatment rate%Road trafficRoad35. Urban road area per capitam236. Urban road length per 10000 peopleKilometerTransport37. Number of taxis per 10000 peopleA38. Public transport vehicles per 10000 peopleA39. Per capita transportation expenditureYuanSocial participation and social equityPublic resource40. Proportion of employed population in tertiary industry in total employed population%41. Number of health, social security and social welfare employees per 10000 peoplea42. Public library collections per capitaa43. Construction area of public library per 10000 peoplem2Social conditions44. Art performance venues per 10000 peoplea45. Number of college students per 100000a46. Consumer price indexUnit47. Proportion of internet broadband assess users in the total population%Economic financeEconomic income48. Per capita local public budget incomeTen thousand yuan49. Per capita disposable incomeYuanEconomic expenditure50. Per capita local public budget expenditureTen thousand yuan51. Per capita consumption expenditureYuan52. Per capita public security expenditureYuan53. Per capita housing security expenditureYuan54. Per capita expenditure on culture, sports and mediaYuan55. Per capita expenditure on educationYuanCommercial insurance56. Commercial insurance depth%57. Commercial insurance densityTen thousand yuan/person


## 2.1. Participants

The participants were drawn from the Chinese Longitudinal Healthy Longevity Survey (CLHLS-2018), aged 65 and above. CLHLS randomly selected samples from 23 representative provincial cities and autonomous regions in China. After deleting the samples with missing and invalid variable values, 13168 effective samples were selected. CLHLS-2018, carried out by the China Center for Disease Control and Prevention and the Research Center for healthy aging and development of the National Development Research Institute of Peking University, aimed to determine the health status and factors of the elderly in many aspects, so as to find potential health problems.


## 2.2. Measures

The fully aligned polygonal graphical indexing method was used to deal with the situation of healthy aging in different provinces. The fundamental principle of the method is that indices are set up and the higher limit value of these indices is taken as the radius to construct a central inside shape [11]. See the literature for the specific calculation process [12].


## 2.3. Variables

The process of healthy aging in China includes 6 dimensions, 15 primary indices and 57 secondary indices (Table1). The data are from China Statistical Yearbook, China Urban Construction Statistical Yearbook and China Health Statistical Yearbook. If S < 0.5, 6 dimensions and 15 primary indices are defined as 0, or is defined as 1. The life satisfaction and health data of the elderly are from the Chinese Longitudinal Healthy Longevity Survey (CLHLS-2018), based on the questions of “What do you think of your life now”. This question has six answers of “very good”, “good”, “general”, “poor”, “very poor” and “I do not know”. When screening the samples, the participants who answered “I do not know” were eliminated. Thus, there were only five answers. When calculating the binary regression equation, “very good” and “good” were merged to be defined as 1. The other three were defined as 0.Table 1
Assessment index system of development level of healthy aging in China.
DimensionPrimary indicesSecondary indicesUnitHealth careMedical expenditure1. Per capita health expenditureYuan2. Proportion of medical and health expenditure in GDP%3. Proportion of per capita healthcare expenditure in per capita consumption expenditure%4. Urban and rural medical insurance participation rate%5. Resident hospitalization rate%Medical facilities6. Hospitals per 10000 peoplea7. Numbers of hospital beds per 1000 peoplea8. The rate of utilization of hospital beds%9. Numbers of beds in elderly care institutions per 1000 peopleaMedical service10. Numbers of doctors per thousand peoplea11. Registered nurses per 1000 peoplea12. Dependency ratio of elderly population%13. Proportion of health examination in the total population.%14. Proportion of the elderly in the number of health examination (Age ≥ 65)%Health educationHealth education service15. Health consultation and policy suggestionsa16. Public health education activitiesa17. Health column jointly with the mediaa18. Health information broadcast by mediaaHealth education materials19. Plane health material productiona20. Audio visual health materials×100021. Health mobile short message×100022. Health material×1000Health training23. Sponsored health websitea24. Health trainingaLiving environmentEnvironmental greening25. Per capita urban green space areaHectare26. Parks per 10000 peoplea27. Per capita park green space aream228. Greening coverage rate of built-up area%29. Urban population densityPerson/square kilometerResource processing30. Harmless treatment rate of domestic waste%31. Per capita emission of waste gas pollutantsKg/person32. Per capita water resourcesm3/person33. Per capita wastewater dischargeTon/person34. Sewage treatment rate%Road trafficRoad35. Urban road area per capitam236. Urban road length per 10000 peopleKilometerTransport37. Number of taxis per 10000 peopleA38. Public transport vehicles per 10000 peopleA39. Per capita transportation expenditureYuanSocial participation and social equityPublic resource40. Proportion of employed population in tertiary industry in total employed population%41. Number of health, social security and social welfare employees per 10000 peoplea42. Public library collections per capitaa43. Construction area of public library per 10000 peoplem2Social conditions44. Art performance venues per 10000 peoplea45. Number of college students per 100000a46. Consumer price indexUnit47. Proportion of internet broadband assess users in the total population%Economic financeEconomic income48. Per capita local public budget incomeTen thousand yuan49. Per capita disposable incomeYuanEconomic expenditure50. Per capita local public budget expenditureTen thousand yuan51. Per capita consumption expenditureYuan52. Per capita public security expenditureYuan53. Per capita housing security expenditureYuan54. Per capita expenditure on culture, sports and mediaYuan55. Per capita expenditure on educationYuanCommercial insurance56. Commercial insurance depth%57. Commercial insurance densityTen thousand yuan/person


## 3. Results

### 3.1. Participants Characteristics

Of the 13168 participants (Table2), 7079 (53.76%) were female, and 6089 (46.24%) were male. The proportion of males and females was almost equal. The main age groups were 65–79 (39.57%) and 80–99 (47.99%). The vast majority (77.00%) lived in rural areas. The marital statuses of the elderly were mainly married and living with a spouse (43.70%) and widowed (52.15%). 10576 (80.32%) lived with household members. The samples were widely distributed in 23 provinces cities and autonomous regions. The four main provinces were Shandong (1668), Guangxi (1603), Jiangsu (1575), and Sichuan (1135).Table 2
Descriptive statistics and variables (N = 13168).
CharacteristicsFrequencies (%)VariablesDefinitionSexMale6089(46.24)SexMale1Female7079(53.76)Female0Age65–795211(39.57)Age65–79080–996319(47.99)>801>1001638(12.44)ResidenceUrban1ResidenceUrban3028(23.00)Rural0Rural10140(77.00)MarriageUnmarried0MarriageUnmarried119(0.90)Married1Married and living with spouse5755(43.70)Types of elderly careAlone0Married and not living with spouse379(2.88)With others1Divorce48(0.36)Life satisfactionSatisfied1Widowed6867(52.15)Dissatisfied0Types of elderly careWith household member(s) alone10576(80.32) 2158(16.39)6 dimensionsS < 0.50S ≥ 0.51In an institution434(3.30)Note. About life satisfaction, “satisfied” means the answer from the participant is “very good” or “good”. And “dissatisfied” means the answer from the participant is “general” “poor” or “very poor”.


### 3.2. Relationship between Participant Characteristics and Life Satisfaction

Table3 was the relationship between participant characteristics and life satisfaction. Excepting living alone, participants based on demographic variables of residence, age, marriage, and living with others had all higher life satisfaction, accounting for more than 60%. There were significant differences between groups of urban and rural (p<0.001), age groups of 65–79 and 80 older (p<0.001), marriage groups of unmarried and married (p<0.001), and types of elderly care of living alone and with others (p<0.001) respectively. However, there was no difference between males and females (p=0.273). Overall, 9266 (70.37%) participants thought life was satisfactory, dissatisfaction with life accounted for only 29.63%. There was a significant difference between the satisfied group and the dissatisfied group (p<0.001).Table 3
Participant characteristics (N = 13168).
Characteristic (total)Numbers of elderly satisfied with life (%∗)P ValueGenderMale (6089)4256 (69.90)0.273Female (7079)5010 (70.77)ResidenceUrban (3028)2241 (74.01)<0.001Rural (10140)7025 (69.28)Age65–79 (5638)3864 (68.53)<0.001≥80 (7530)5402 (71.74)Marriage<0.001Unmarried (2157)1318 (61.10)Married (11011)7948 (72.18)Types of elderly careAlone (119)58 (48.74)<0.001With others(13049)9208 (70.56)GroupSatisfaction group9266 (70.37)<0.001Dissatisfaction group3902 (29.63)Note. ∗ Percentage refers to the ratio of numbers of elderly satisfied with life to the total number of people in this group.


### 3.3. Life Satisfaction of the Elderly Based on Healthy Aging

Among the six dimensions of healthy aging (Table4), the dimension of healthcare performed best (S ≥ 0.5) and the dimensions of the living environment, road traffic, and social participation/social equity were all worse, calculated using the fully aligned polygonal graphical indexing method. For the elderly numbers of life satisfaction under the condition of S ≥ 0.5, the participant numbers who were satisfied with life was the highest in the dimension of healthcare, up to 52.5%. Next is health education, and the living environment dimension has the least number of elder people who were satisfied with life, only is 541(4.11%). Thus, the dimension of the living environment performed worst and needed to be improved to improve the elderly’s satisfaction with their lives. Under the background of healthy aging, how to take measures and ultimately improve the life satisfaction of the elderly still needs to be explored in-depth.Table 4
Life satisfaction of the elder based on healthy aging (N = 13168).
ItemsS (mean ± SD)NumbersaHealthcare0.582 ± 0.1356913 (52.50%)Health education0.457 ± 0.1813215 (24.42%)Living environment0.391 ± 0.050541 (4.11%)Road traffic0.389 ± 0.1171722 (13.08%)Social participation/Social equity0.390 ± 0.0821108 (8.41%)Economic finance0.405 ± 0.1292482 (18.85%)Note. Numbersa refers to the elderly numbers of life satisfaction under the condition of S ≥ 0.5.


### 3.4. Relationship between Life Satisfaction and Six Dimensions of the Elderly

This work compared and analyzed six dimensions affecting the life satisfaction of the elderly, such as healthcare, health education, road traffic, social participation/social equity, and economic finance (Table5). For healthcare, in the life satisfaction group, 6913/9266 (74.61%) were satisfied with healthcare, while in the life dissatisfied group, 2417/3902 (61.94%) were satisfied with healthcare. Compared to the life satisfaction and dissatisfaction groups, the possibility of life dissatisfaction brought by healthcare is far less likely to bring life dissatisfaction [OR = 0.535(0.480–0.598, p<0.001)]. The adjusted OR for the satisfied group is 0.565(0.505–0.632, p<0.001). For the other five dimensions, the adjusted OR were, respectively [OR = 0.813(0.725–0.913, p<0.001)], [OR = 0.247(0.181–0.338, p<0.001)], [OR = 0.212(0.169–0.267, p<0.205)], [OR = 0.871(0.739–1.027, p<0.001)], [OR = 3.823(3.039–4.809, p<0.001)]. For the dimension of social participation/social equity, 1108/9266 (11.96%) and 497/3902 (12.74%) participants were in the satisfied and dissatisfied groups, respectively. For the dimension of economic finance, the two figures were 2482/9266 (26.79%) and 1001/3902 (25.65%). Adjusted for gender, residence, age, nationality, and living status, the ORs of healthcare, social participation/social equity, and economic finance have all gone up. This also showed that the dimensions of healthcare, social participation/social equity, and economic finance play a very important role in the well-being of the elderly, especially the last two.Table 5
Six dimensions of life satisfaction (N = 13168). OR values are for the satisfied group (n = 9266) relative to dissatisfied group (n = 3902).
Six dimensionsUnadjusted ORa (95% CI)P ValueAdjusted ORb (95% CI)P ValueHealthcare0.535 (0.480–0.598)<0.0010.565 (0.505–0.632)<0.001Health education0.860 (0.768–0.963)<0.0010.813 (0.725–0.913)<0.001Living environment0.253 (0.186–0.346)<0.0010.247 (0.181–0.338)<0.001Road traffic0.244 (0.196–0.303)<0.0010.212 (0.169–0.267)<0.001Social participation/Social equity0.808 (0.687–0.951)<0.0010.871 (0.739–1.027)<0.001Economic finance3.288 (2.587–4.027)<0.0013.823 (3.039–4.809)<0.001Note:aOR: odds ratio. bAdjusted: adjusted for gender, residence, age, nationality, and living status.


## 3.1. Participants Characteristics

Of the 13168 participants (Table2), 7079 (53.76%) were female, and 6089 (46.24%) were male. The proportion of males and females was almost equal. The main age groups were 65–79 (39.57%) and 80–99 (47.99%). The vast majority (77.00%) lived in rural areas. The marital statuses of the elderly were mainly married and living with a spouse (43.70%) and widowed (52.15%). 10576 (80.32%) lived with household members. The samples were widely distributed in 23 provinces cities and autonomous regions. The four main provinces were Shandong (1668), Guangxi (1603), Jiangsu (1575), and Sichuan (1135).Table 2
Descriptive statistics and variables (N = 13168).
CharacteristicsFrequencies (%)VariablesDefinitionSexMale6089(46.24)SexMale1Female7079(53.76)Female0Age65–795211(39.57)Age65–79080–996319(47.99)>801>1001638(12.44)ResidenceUrban1ResidenceUrban3028(23.00)Rural0Rural10140(77.00)MarriageUnmarried0MarriageUnmarried119(0.90)Married1Married and living with spouse5755(43.70)Types of elderly careAlone0Married and not living with spouse379(2.88)With others1Divorce48(0.36)Life satisfactionSatisfied1Widowed6867(52.15)Dissatisfied0Types of elderly careWith household member(s) alone10576(80.32) 2158(16.39)6 dimensionsS < 0.50S ≥ 0.51In an institution434(3.30)Note. About life satisfaction, “satisfied” means the answer from the participant is “very good” or “good”. And “dissatisfied” means the answer from the participant is “general” “poor” or “very poor”.


## 3.2. Relationship between Participant Characteristics and Life Satisfaction

Table3 was the relationship between participant characteristics and life satisfaction. Excepting living alone, participants based on demographic variables of residence, age, marriage, and living with others had all higher life satisfaction, accounting for more than 60%. There were significant differences between groups of urban and rural (p<0.001), age groups of 65–79 and 80 older (p<0.001), marriage groups of unmarried and married (p<0.001), and types of elderly care of living alone and with others (p<0.001) respectively. However, there was no difference between males and females (p=0.273). Overall, 9266 (70.37%) participants thought life was satisfactory, dissatisfaction with life accounted for only 29.63%. There was a significant difference between the satisfied group and the dissatisfied group (p<0.001).Table 3
Participant characteristics (N = 13168).
Characteristic (total)Numbers of elderly satisfied with life (%∗)P ValueGenderMale (6089)4256 (69.90)0.273Female (7079)5010 (70.77)ResidenceUrban (3028)2241 (74.01)<0.001Rural (10140)7025 (69.28)Age65–79 (5638)3864 (68.53)<0.001≥80 (7530)5402 (71.74)Marriage<0.001Unmarried (2157)1318 (61.10)Married (11011)7948 (72.18)Types of elderly careAlone (119)58 (48.74)<0.001With others(13049)9208 (70.56)GroupSatisfaction group9266 (70.37)<0.001Dissatisfaction group3902 (29.63)Note. ∗ Percentage refers to the ratio of numbers of elderly satisfied with life to the total number of people in this group.


## 3.3. Life Satisfaction of the Elderly Based on Healthy Aging

Among the six dimensions of healthy aging (Table4), the dimension of healthcare performed best (S ≥ 0.5) and the dimensions of the living environment, road traffic, and social participation/social equity were all worse, calculated using the fully aligned polygonal graphical indexing method. For the elderly numbers of life satisfaction under the condition of S ≥ 0.5, the participant numbers who were satisfied with life was the highest in the dimension of healthcare, up to 52.5%. Next is health education, and the living environment dimension has the least number of elder people who were satisfied with life, only is 541(4.11%). Thus, the dimension of the living environment performed worst and needed to be improved to improve the elderly’s satisfaction with their lives. Under the background of healthy aging, how to take measures and ultimately improve the life satisfaction of the elderly still needs to be explored in-depth.Table 4
Life satisfaction of the elder based on healthy aging (N = 13168).
ItemsS (mean ± SD)NumbersaHealthcare0.582 ± 0.1356913 (52.50%)Health education0.457 ± 0.1813215 (24.42%)Living environment0.391 ± 0.050541 (4.11%)Road traffic0.389 ± 0.1171722 (13.08%)Social participation/Social equity0.390 ± 0.0821108 (8.41%)Economic finance0.405 ± 0.1292482 (18.85%)Note. Numbersa refers to the elderly numbers of life satisfaction under the condition of S ≥ 0.5.


## 3.4. Relationship between Life Satisfaction and Six Dimensions of the Elderly

This work compared and analyzed six dimensions affecting the life satisfaction of the elderly, such as healthcare, health education, road traffic, social participation/social equity, and economic finance (Table5). For healthcare, in the life satisfaction group, 6913/9266 (74.61%) were satisfied with healthcare, while in the life dissatisfied group, 2417/3902 (61.94%) were satisfied with healthcare. Compared to the life satisfaction and dissatisfaction groups, the possibility of life dissatisfaction brought by healthcare is far less likely to bring life dissatisfaction [OR = 0.535(0.480–0.598, p<0.001)]. The adjusted OR for the satisfied group is 0.565(0.505–0.632, p<0.001). For the other five dimensions, the adjusted OR were, respectively [OR = 0.813(0.725–0.913, p<0.001)], [OR = 0.247(0.181–0.338, p<0.001)], [OR = 0.212(0.169–0.267, p<0.205)], [OR = 0.871(0.739–1.027, p<0.001)], [OR = 3.823(3.039–4.809, p<0.001)]. For the dimension of social participation/social equity, 1108/9266 (11.96%) and 497/3902 (12.74%) participants were in the satisfied and dissatisfied groups, respectively. For the dimension of economic finance, the two figures were 2482/9266 (26.79%) and 1001/3902 (25.65%). Adjusted for gender, residence, age, nationality, and living status, the ORs of healthcare, social participation/social equity, and economic finance have all gone up. This also showed that the dimensions of healthcare, social participation/social equity, and economic finance play a very important role in the well-being of the elderly, especially the last two.Table 5
Six dimensions of life satisfaction (N = 13168). OR values are for the satisfied group (n = 9266) relative to dissatisfied group (n = 3902).
Six dimensionsUnadjusted ORa (95% CI)P ValueAdjusted ORb (95% CI)P ValueHealthcare0.535 (0.480–0.598)<0.0010.565 (0.505–0.632)<0.001Health education0.860 (0.768–0.963)<0.0010.813 (0.725–0.913)<0.001Living environment0.253 (0.186–0.346)<0.0010.247 (0.181–0.338)<0.001Road traffic0.244 (0.196–0.303)<0.0010.212 (0.169–0.267)<0.001Social participation/Social equity0.808 (0.687–0.951)<0.0010.871 (0.739–1.027)<0.001Economic finance3.288 (2.587–4.027)<0.0013.823 (3.039–4.809)<0.001Note:aOR: odds ratio. bAdjusted: adjusted for gender, residence, age, nationality, and living status.


## 4. Discussion

Measuring and monitoring healthy aging in countries can promote a common understanding of the types of effective or ineffective initiatives to promote healthy aging [13]. Medical treatment, economy, and finance are important areas to improve the development level of healthy aging. Also, health education, living environment, road transportation, social participation/social equity cannot be ignored. In fact, these indices will comprehensively affect the development level of healthy aging in different regions and the life satisfaction of different elderly groups [14]. Healthcare expenditure is increasingly concentrated on the elderly group [15]. Especially in the period before death, the medical care expenditure increased sharply [16]. Medical insurance can significantly improve the health status and life satisfaction of the elderly [17]. Health education helps individuals to change unhealthy behavior and lifestyles, so as to reduce or eliminate the risk factors affecting health [18]. Health literacy is negatively correlated with medical utilization and expenditure. Public health strategies promoting appropriate education among patients with low health literacy (LHL) may help to improve health outcomes and reduce unnecessary medical visits and costs [19]. Collective health education activities are helpful to the health recovery of the elderly with complications [20], but the number of comorbidities may interfere with the effect of education and exercise programs [21]. When carrying out healthcare services, we should try to carry out appropriate training for the elderly in order to improve health literacy, cognitive function, and life satisfaction [22].In addition to good healthcare and education, the living environment is also an important index to measure the urban per capita environmental quality, including the health, comfort, habitability, and happiness of the human settlement environment [23]. For example, an international study using data from 14 cities around the world found that building environmental attributes, including higher living density, good street network, availability of public transport, and more parks, are positively related to the health status of adults [24]. Urban green space improves the environmental quality of urban areas by regulating microclimates, reducing heat stress and atmospheric carbon dioxide, and enhancing biodiversity to improve the physical and mental health of urban residents and the elderly [25]. Furthermore, it is also an important development direction and goal to actively promote healthy aging and build a healthy aging-oriented urban human settlement environment design and assessment system [26].After retirement, the elderly are likely to replace work travel with nonwork travel, and use more public transport. Relevant data, such as traffic travel need to be added, but they are not found. There is increasing evidence that walking can prevent various health problems, so as to help the elderly maintain their physical, cognitive independence and life satisfaction [27]. Transportation for the elderly is also an indispensable part of the concept of healthy aging [28]. Therefore, aging and transportation mode, aging and traffic safety, aging society, and intelligent transportation are facing challenges in highlighting the livability and humanity of the city, especially in adapting to the retirement life of the elderly. We also need to continuously improve the level of public services through institutional arrangements and give the elderly more opportunities and platforms for fair participation in social development and governance to ensure that the elderly have assessed to due social rights and services. Social participation is a key factor affecting the quality of life of the elderly, which is also a positive response to the construction of an aging environment to enhance the elderly’s sense of participation, acquisition, and happiness [29]. Research shows that community environment and social participation have significant positive effects on the health of the elderly. At the same time, social participation plays an intermediary role in the relationship between the interpersonal environment and elderly health [30]. Economic finance is an important indicator of the security dimension of healthy aging. The direct pressure brought by the severe population aging situation is the life care of the elderly, which must be solved by the coordinated development of public financial support, pension supplement, and aging financial development of the government [31]. Therefore, the problem of aging is essentially an economic and financial problem, which is a necessary condition for the realization of healthy aging to a certain extent.The limitations should not be ignored. First, due to the limitation of the CLHLS-2018 questionnaire, the life satisfaction of the elderly was evaluated by the one-dimensional question, without the life satisfaction scale. Second, the development index system of healthy aging includes multiple dimensions (see Table6), and this manuscript only selected six key dimensions.Table 6
International influential representative health aging assessment index system.
Index systemTimeIssuing agencyDimensionGlobal age-friendly cities: a guide2007World Health OrganizationArchitecture and environment, transportation, housing, social participation, respect and social inclusion, public participation and employment, communication and information, community support, and health servicesAge-friendly community2009NYC department for the agingSocial environment, built environment, community and public participation, services, and facilitiesWell-being2009Organization for economic cooperation and developmentMaterial conditions, quality of life, and sustainabilityActive ageing index2012United Nations Economic Commission for EuropeWork, social participation, independent, healthy and safe life, and the ability to build a positive aging environmentAssessment system of healthy aging in large and medium-sized cities in China(2019–2020))2020International Academy of Aging SciencesHealthcare, living environment, transportation, social equity, economy, and financeNational healthy city assessment index system2018National Patriotic Health Campaign CommitteeHealthy environment, healthy society, health services, healthy people, and healthy cultureOld friendly city New York plan2008New York Academy of Medical SciencesCommunity and public participation, housing, public space and transportation, health and social servicesHealthy aging best city index2017Milken InstituteEnvironmental livability, healthcare, financial security, education, convenient transportation, employment, living arrangement, and community participationIndex system of elderly community assessment guide2015Canadian public health agencyOutdoor space and buildings, transportation, housing, social participation, respect and social inclusion, citizen participation and employment, communication and information, community support and health services, elderly health, and social outcomesAge-friendly city2009Manchester City CouncilHousing, transportation, environment, community safety, employment and income, culture and learning, healthy aging, care and support services


## 5. Conclusions

Our findings demonstrate that healthcare contributes the most to the life satisfaction of the elderly among six dimensions of healthy aging, while the other five aspects are relatively poor and need to be improved, especially the living environment dimension. Healthcare, social participation/social equity, and economic finance play important roles in the life satisfaction of the elderly.



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