What this is
- This study investigates risk factors for depression among in a coastal city of Zhejiang Province, China.
- , defined as individuals living alone due to children leaving home, are particularly vulnerable to depression.
- The study assesses demographic characteristics, health conditions, and life experiences to identify factors contributing to depression.
- Findings indicate a high prevalence of depressive symptoms and highlight several associated risk factors.
Essence
- The prevalence of depressive symptoms in is 46.5%, with significant associations to chronic health conditions and negative life experiences.
Key takeaways
- Depressive symptoms are prevalent in 46.5% of , significantly higher than the general elderly population rate of 23.6%. This suggests that face unique challenges that elevate their risk.
- Chronic health conditions, such as being overweight/obese (adjusted OR = 1.64) and cancer (adjusted OR = 5.19), are significant risk factors for depression. These conditions not only affect physical health but also mental well-being.
- Negative life experiences, including the death of a loved one (adjusted OR = 2.26) and financial losses (adjusted OR = 5.30), greatly increase the risk of depressive symptoms. This underscores the need for social support interventions.
Caveats
- The study's cross-sectional design limits the ability to establish causality between risk factors and depressive symptoms. Longitudinal studies are needed for clearer insights.
- Participants were selected from a specific coastal city, which may limit the generalizability of the findings to other regions or populations.
Definitions
- empty nesters: Individuals living alone for more than six months due to children leaving home or being childless.
- Geriatric Depression Scale (GDS): A 30-item questionnaire used to assess depression in the elderly, scoring from 0 (no depression) to 30 (severe depression).
AI simplified
1. Introduction
The aging population phenomenon is a major social problem around the globe in the 21st century. At present, most people can expect to live to 60 or older as the youth mortality rate is greatly reduced and life expectancy continues to grow [1]. Combined with the decline in the fertility rate, the increase in life expectancy is leading to a rapid aging of the worldβs population [1]. In China, as of the end of 2018, the number of people aged 60 or older was close to 250 million, accounting for 17.9% of the total population [2]. In 2015, the βFamily Development Report of China (2015)β issued by the National Health and Family Planning Commission showed that empty nesters accounted for half of all elderly people. It is estimated that the proportion of empty-nest families will account for 90% of elderly families in 2030, when the elderly families in China will be empty-nested across the board [3,4].
On a global scale, the burden of depression continues to increase [5]. Depression is a common mental disorder, and approximately 300 million people of all ages suffer from it worldwide. Depression is the leading cause of disability in the world and it is a major factor contributing to the global burden of disease [6]. Depression can lead to suicide in the worst cases [7]. Depression is expected to be the main cause of disease burden in 2030 [4]. The elderly are more susceptible to depression than other populations, especially empty nesters [8]. In China, the prevalence of depression in the elderly is worrying. In 2012, the results of an investigation using the Geriatric Mental State examination among 4265 community elderly people conducted in four provinces in China showed that the detection rate of depression symptoms in empty nesters was 8.18%, which was higher than the 6.31% for non-empty nesters [9]. Empty nesters are more likely to develop depression than average elderly people [10]. The depression problem of empty nesters has become a major social problem related to the health status of Chinaβs aging population [4].
Empty nesters are susceptible to different adverse conditions and they are confronted with age-related problems, such as chronic diseases [5,11,12,13,14] and irreversible reductions in cognitive function [15]. In addition, more and more studies have shown that social support [16], behaviors and lifestyles [17,18], self-care ability [19,20], negative life experiences [14,18,21,22], obesity [23], etc., are the main risk factors for depression in empty nesters. Some studies have also shown that gender, age, occupation, education level, marital status, etc. affect the occurrence of depression [7,24,25,26,27,28,29]. Therefore, this study aimed to assess the prevalence and distribution of depression in empty nesters in a coastal city of China through cross-sectional questionnaires and physical examinations, and to explore the risk factors associated with depression in empty nesters in order to provide an effective theoretical basis for resolving the problem.
2. Materials and Methods
2.1. Participants
This study defined empty nesters as individuals living alone for more than six months a year due to their children having left home (for work, study, marriage, etc.), being childless, being widow/divorced, etc., including empty-nested couples living together and empty-nested individuals living by themselves. The exclusion criteria were as follows: (1) Individuals who had lost relatives and friends within two months before the investigation; (2) individuals who had taken psychotropic drugs or received treatment for mental illnesses within two months before the investigation; (3) individuals who had significant physical illnesses and could not participate in the survey; and (4) individuals who were not willing to participate in this research.
The sample size was calculated using the following formula:
DE stood for βdesign effectβ and was assigned as 1.5, N was the total number of empty nesters (50,000), the expected prevalence rate p was assigned as 50%, d was assigned as 5%, and Ξ± = 0.05. The calculated sample size was 572. Using the multi-stage random sampling method, 8 townships/subdistricts (6 townships and 2 subdistricts) in the city were randomly selected, 1 village/residential committee was randomly selected from each township/subdistrict, and 66 empty nesters were selected as a research unit from each village/residential committee. Empty nesters aged 60 or older were then selected as research participants, with the total sample size being 813 people.
A one-to-one and face-to-face survey was conducted for each eligible empty nester using a self-designed questionnaire. All participants signed an informed consent form, and this research was approved by the Bioethical Committee at Taizhou Tumor Hospital (SL2019007), Zhejiang Province, PR China.
2.2. Assessment of Depression
The Geriatric Depression Scale (GDS) compiled by Brink et al. in 1982 and standardized for the elderly [30] was used, and it includes 30 items with a total score of 30 points. Specifically, 0 to 10 points indicates no depression, 11 to 20 points indicates mild depression, and 21 to 30 points indicates moderate to severe depression. The validated Chinese version of the GDS was used in this study.
2.3. Investigation of Related Factors
Related factors used in this study were divided into six groups: Demographic characteristics, underlying diseases, behaviors and lifestyles, negative life experiences, social support evaluation, and self-care ability assessment.
2.3.1. Demographic Characteristics
Gender, age (divided into three groups: 60 to 69 years old, 70 to 79 years old, and over 80 years old), occupation (cultivation, housework, and other occupations), education level (illiterate, primary school, and junior high school, and above), marital status (married, widow/divorced, and other), etc. were described in the demographic characteristics section.
2.3.2. Underlying Diseases
Underlying diseases included investigation of hypertension, diabetes, dyslipidemia, coronary heart disease, stroke, chronic respiratory diseases, cancer, chronic pain (more than three monthsβ duration with daily or almost daily pain), and physical discomfort (participants were asked whether there had been any physical discomfort in the last two weeks).
2.3.3. Behaviors and Lifestyles
Smoking status (never, still smoking, or smoking cessation), drinking status (never, still drinking, or drinking cessation), exercise (whether the participant exercised in their spare time), and use of micronutrients (whether the participant had regularly taken oral vitamins, calcium tablets, or other trace element supplements in the last year) were included in the behaviors and lifestyles section.
2.3.4. Negative Life Experiences
Whether the empty nesters had experienced health changes, economic difficulties, the death of a loved one, loss of property, sad experiences, conflicts between relatives or friends, or terror in the last two years was asked in the negative life experiences section.
2.3.5. Social Support Evaluation
The Social Support Rating Scale has 10 items, covering objective support (3 items), subjective support (4 items), and support utilization (3 items), with a total score of 40 points. Higher scores indicated high social support. It is generally considered that a total score of less than 20 points indicates limited social support, 20 to 30 points indicates general social support, and 30 to 40 points indicates satisfactory social support.
2.3.6. Self-Care Ability Assessment
The Barthel index rating scale was used to evaluate the participantsβ self-care ability. The scale includes 10 items with a total score of 100 points. A score of no more than 40 points indicates heavy dependence, where the participant relies totally on the care of others; a score of 41 to 60 points indicates moderate dependence, where the participant relies mostly on the care of others; a score of 61 to 99 points indicates light dependence, where the participant relies partly on the care of others; and a score of 100 points indicates no dependence, where the participant does not need others to take care of them. The validated Chinese version was used in this study.
2.4. Statistical Analysis
The percentages of depression in populations with different characteristics were estimated based on the complex sampling method, and a correlation analysis was performed using the RaoβScott chi-square test. The OR (odds ratio) value of each factor associated with depressive symptoms was calculated by univariate weighted logistic regression analysis, and the confounding effect of various factors was further controlled by multivariate weighted logistic regression analysis. Statistical tests (two-tailed, Ξ± = 0.05) and all analyses were performed using the SPSS 20.0 software (SPSS Inc., Chicago, IL, USA).
3. Results
A total of 813 people (326 males and 487 females) were enrolled in the study. The GDS was used to evaluate the depressive symptoms of empty nesters. The estimated prevalence of depressive symptoms in empty nesters was 46.5% (95% CI: 8.6β54.6%). The prevalence of depressive symptoms in different populations is shown in Table 1. The prevalence of depressive symptoms in men was lower than the prevalence of depressive symptoms in women, and the weighted prevalence rates were 41.2% (95% CI: 33.0β49.9%) and 50.0% (95% CI: 41.8β58.2%), respectively. The weighted prevalence of depressive symptoms in overweight/obese participants was 55.8% (95% CI: 46.1β59.9%), which was higher than weighted prevalence of depressive symptoms in participants with lean/normal weight. The weighted prevalence of depressive symptoms in participants engaged in housework was 56.8% (95% CI: 45.6β67.2%), which was significantly higher than individuals with cultivation or other occupations. The weighted prevalence of depressive symptoms among religious believers (49.7%, 95% CI: 40.9β58.5%) was significantly higher than weighted prevalence of depressive symptoms among non-religious believers (29.0%, 95% CI: 17.3β44.4%). The prevalence of depression in participants with chronic diseases, such as dyslipidemia (62.0%, 95% CI: 50.2β72.5%), chronic respiratory diseases (54.1%, 95% CI: 50.3β57.8%), and cancer (84.5%, 95% CI: 55.0β96.1%), was high. Smokers (39.4%, 95% CI: 27.0β53.2%) and drinkers (33.5%, 95% CI: 21.7β47.9%) showed a lower prevalence of depressive symptoms than non-smokers/drinkers or participants who had quit smoking/drinking. In terms of negative life experiences, individuals who had experienced the death of a loved one (73.7%, 95% CI: 60.4β83.8%), financial losses (80.0%, 95% CI: 53.5β93.3%), and sad experiences (72.9%, 95% CI: 55.9β85.1%) demonstrated a high prevalence of depressive symptoms.
The results of the multivariate weighted logistic regression analysis of depressive symptoms (Table 2) showed that being overweight/obese could increase the risk of depressive symptoms (adjusted OR = 1.64, 95% CI: 1.04β2.56) compared to people with a normal BMI. Compared to participants with cultivation, individuals engaged in housework demonstrated a higher risk of depressive symptoms (adjusted OR = 2.48, 95% CI: 1.86β3.31). Religious people showed a higher risk of depressive symptoms than individuals without religious beliefs (adjusted OR = 2.24, 95% CI: 1.19β4.20). At the same time, chronic diseases, such as cancer (adjusted OR = 5.19, 95% CI: 1.14β23.56) and chronic pain (adjusted OR = 1.60, 95% CI: 1.18β2.17), could significantly increase the risk of depressive symptoms. Compared to non-smokers, quitters were prone to depressive symptoms (adjusted OR = 3.08, 95% CI: 1.89β5.02); drinking appeared to produce a certain protective effect against depressive symptoms (adjusted OR = 0.60, 95% CI: 0.37β0.99). Negative life experiences, such as the death of a loved one (adjusted OR = 2.26, 95% CI: 1.75β2.91) and financial losses (adjusted OR = 5.30, 95% CI: 2.99β9.39), could significantly increase the risk of depressive symptoms in empty nesters. In addition, the incapability of providing self-care (adjusted OR = 1.53, 95% CI: 1.10β2.13) also increased the risk of depressive symptoms in empty nesters.
| Characteristics | Depressive Symptoms | RaoβScott Chi-square | -Valuep | |||
|---|---|---|---|---|---|---|
| n | % | Weighted % | 95% CI of Weighted % | |||
| Sex | ||||||
| Male | 157 | 48.2 | 41.2 | 33.0β49.9 | 14.501 | 0.007 |
| Female | 263 | 54 | 50 | 41.8β58.2 | ||
| Age Group (years) | ||||||
| 60β69 | 140 | 49.5 | 48.7 | 39.5β57.9 | 1.366 | 0.288 |
| 70β79 | 183 | 54.3 | 47 | 37.0β57.1 | ||
| β₯80 | 97 | 50.3 | 42.8 | 36.4β49.4 | ||
| Body Mass Index (BMI, kg/m)2 | ||||||
| Normal 18.5β24.9 | 187 | 48.1 | 42.1 | 32.8β52.1 | 12.876 | 0.003 |
| Lean <18.5 | 19 | 44.2 | 37.6 | 34.5β40.8 | ||
| Overweight/obese β₯ 25.0 | 203 | 55.8 | 53 | 46.1β59.9 | ||
| Educational Level | ||||||
| Illiterate | 261 | 54.6 | 48.6 | 40.2β57.0 | 3.963 | 0.064 |
| Primary | 133 | 48.5 | 45.5 | 35.2β56.1 | ||
| Secondary and higher | 26 | 42.6 | 35.8 | 28.1β44.3 | ||
| Occupation | ||||||
| Cultivation | 120 | 45.6 | 37 | 31.2β43.3 | 17.099 | 0.003 |
| Housework | 239 | 61.3 | 56.8 | 45.6β67.2 | ||
| Other | 61 | 38.1 | 34.5 | 23.6β47.2 | ||
| Marital Status | ||||||
| Married | 259 | 48.9 | 44.7 | 38.1β51.4 | 3.486 | 0.069 |
| Widow/Divorced | 148 | 57.1 | 50.3 | 39.0β61.5 | ||
| Other | 13 | 54.2 | 49.3 | 35.3β63.4 | ||
| Religious Belief | ||||||
| Yes | 365 | 54 | 49.7 | 40.9β58.5 | 10.987 | 0.013 |
| No | 55 | 40.1 | 29 | 17.3β44.4 | ||
| Hypertension | ||||||
| Yes | 186 | 52.5 | 47.1 | 38.4β56.0 | 0.39 | 0.552 |
| No | 234 | 51 | 46.1 | 38.4β54.0 | ||
| Diabetes Mellitus | ||||||
| Yes | 62 | 58.5 | 54.3 | 43.8β64.5 | 5.517 | 0.051 |
| No | 358 | 50.6 | 45.5 | 37.5β53.7 | ||
| Dyslipidemia | ||||||
| Yes | 41 | 64.1 | 62 | 50.2β72.5 | 31.993 | 0.001 |
| No | 379 | 50.6 | 45.2 | 37.6β53.0 | ||
| Coronary Heart Disease | ||||||
| Yes | 38 | 58.5 | 53.3 | 34.6β71.1 | 1.64 | 0.241 |
| No | 382 | 51.1 | 46 | 38.7β53.4 | ||
| Stroke | ||||||
| Yes | 24 | 63.2 | 59.5 | 36.5β79.1 | 2.885 | 0.133 |
| No | 396 | 51.1 | 45.9 | 38.4β53.5 | ||
| Chronic Respiratory Disease | ||||||
| Yes | 27 | 56.3 | 54.1 | 50.3β57.8 | 11.553 | 0.011 |
| No | 393 | 51.4 | 45.9 | 37.8β54.2 | ||
| Cancer | ||||||
| Yes | 8 | 66.7 | 84.5 | 55.0β96.1 | 10.392 | 0.015 |
| No | 412 | 51.4 | 46 | 38.1β54.2 | ||
| Chronic Pain | ||||||
| Yes | 126 | 61.8 | 56.3 | 41.1β70.4 | 5.249 | 0.056 |
| No | 294 | 48.3 | 42.7 | 35.8β49.8 | ||
| Discomfort | ||||||
| Yes | 67 | 53.2 | 46.3 | 30.8β62.6 | 0.002 | 0.966 |
| No | 353 | 51.4 | 46.6 | 39.4β53.9 | ||
| Smoking Status | ||||||
| Never | 337 | 51.5 | 46.7 | 39.4β54.2 | 6.437 | 0.017 |
| Current | 55 | 48.7 | 39.4 | 27.0β53.2 | ||
| Former | 28 | 62.2 | 59 | 48.6β68.7 | ||
| Drinking Status | ||||||
| Never | 348 | 53.8 | 48.7 | 40.7β56.7 | 6.411 | 0.012 |
| Current | 48 | 39.3 | 33.5 | 21.7β47.9 | ||
| Former | 24 | 54.5 | 52 | 39.7β64.1 | ||
| Physical Activity | ||||||
| Yes | 115 | 51.1 | 46.1 | 34.2β58.5 | 0.023 | 0.884 |
| No | 305 | 51.9 | 46.7 | 39.4β54.2 | ||
| Nutrient Supplements | ||||||
| Yes | 55 | 55 | 47 | 33.4β61.1 | 0.016 | 0.904 |
| No | 365 | 51.2 | 46.5 | 39.0β54.2 | ||
| Worry About Children | ||||||
| Yes | 180 | 63.8 | 54.2 | 47.4β60.9 | 4.568 | 0.07 |
| No | 240 | 45.2 | 42.8 | 32.0β54.3 | ||
| Change of Health Status | ||||||
| Yes | 157 | 65.7 | 51 | 37.8β64.0 | 0.772 | 0.409 |
| No | 263 | 45.8 | 44.8 | 35.3β54.7 | ||
| Financial Hardship | ||||||
| Yes | 85 | 63.4 | 48.2 | 34.9β61.7 | 0.115 | 0.745 |
| No | 335 | 49.3 | 46.2 | 37.9β54.8 | ||
| Death of a Close Relative | ||||||
| Yes | 58 | 77.3 | 73.7 | 60.4β83.8 | 39.344 | <0.001 |
| No | 362 | 49.1 | 43.9 | 36.9β51.2 | ||
| Unexpected Financial Loss | ||||||
| Yes | 33 | 86.8 | 80 | 53.5β93.3 | 13.298 | 0.008 |
| No | 387 | 49.9 | 45.3 | 37.7β53.3 | ||
| Sad Experiences | ||||||
| Yes | 56 | 80 | 72.9 | 55.9β85.1 | 20.092 | 0.003 |
| No | 364 | 49 | 44.6 | 37.0β52.5 | ||
| Conflicts between Relatives or Friends | ||||||
| Yes | 22 | 81.5 | 65.2 | 28.3β89.9 | 1.657 | 0.239 |
| No | 398 | 50.6 | 46.1 | 38.2β54.2 | ||
| Experience of Terror | ||||||
| Yes | 24 | 64.9 | 42.5 | 20.6β67.8 | 0.183 | 0.682 |
| No | 396 | 51 | 46.8 | 39.2β54.5 | ||
| SSRS Score | ||||||
| <20 | 29 | 48.3 | 44.6 | 31.8β58.1 | 1.483 | 0.263 |
| 20β29 | 178 | 59.9 | 53.1 | 46.8β59.3 | ||
| β₯20 | 213 | 47.1 | 43.4 | 30.8β57.0 | ||
| Self-Care Ability | ||||||
| Yes | 396 | 51.4 | 46.3 | 38.2β54.7 | 1.63 | 0.242 |
| No | 24 | 61.5 | 53.4 | 44.9β61.6 | ||
| Risk Factors | OR (95% CI) | -Valuep | Adjusted OR (95% CI) | -Valuep |
|---|---|---|---|---|
| Sex | ||||
| Male | 0.70 (0.56β0.87) | 0.007 | 1.17 (0.98β1.40) | 0.072 |
| Age Group (years) | ||||
| 60β69 | ||||
| 70β79 | 0.93 (0.68β1.27) | 0.62 | 0.94 (0.70β1.28) | 0.668 |
| β₯80 | 0.79 (0.53β1.17) | 0.197 | 0.78 (0.47β1.28) | 0.277 |
| Body Mass Index (BMI, kg/m)2 | ||||
| Normal | ||||
| Lean | 0.83 (0.59β1.15) | 0.22 | 1.00 (0.73β1.37) | 0.992 |
| Overweight/obese | 1.55 (1.16β2.07) | 0.009 | 1.64 (1.04β2.56) | 0.032 |
| Educational Level | ||||
| Illiterate | ||||
| Primary | 0.88 (0.71β1.09) | 0.21 | 0.82 (0.66β1.01) | 0.057 |
| Secondary and higher | 0.59 (0.37β0.94) | 0.032 | 0.62 (0.34β1.15) | 0.11 |
| Occupation | ||||
| Cultivation | ||||
| Housework | 2.23 (1.35β3.69) | 0.007 | 2.48 (1.86β3.31) | <0.001 |
| Other | 0.90 (0.49β1.62) | 0.674 | 0.89 (0.6β1.32) | 0.508 |
| Marital Status | ||||
| Married | ||||
| Widow/Divorced | 1.25 (1.00β1.57) | 0.051 | 0.87 (0.53β1.44) | 0.545 |
| Other | 1.20 (0.72β2.01) | 0.422 | 1.28 (0.39β4.23) | 0.634 |
| Religious Belief | ||||
| Yes | 2.42 (1.27β4.62) | 0.014 | 2.24 (1.19β4.20) | 0.019 |
| Hypertension | ||||
| Yes | 1.04 (0.89β1.22) | 0.552 | 0.83 (0.65β1.06) | 0.117 |
| Diabetes Mellitus | ||||
| Yes | 1.43 (1.00β2.04) | 0.052 | 1.24 (0.81β1.91) | 0.277 |
| Dyslipidemia | ||||
| Yes | 1.98 (1.48β2.64) | 0.001 | 1.45 (0.88β2.40) | 0.125 |
| Coronary Heart Disease | ||||
| Yes | 1.34 (0.78β2.32) | 0.242 | 1.11 (0.68β1.82) | 0.624 |
| Stroke | ||||
| Yes | 1.74 (0.8β3.79) | 0.137 | 1.70 (0.50β5.72) | 0.339 |
| Chronic Respiratory Disease | ||||
| Yes | 1.39 (1.10β1.75) | 0.012 | 1.14 (0.88β1.48) | 0.272 |
| Cancer | ||||
| Yes | 6.4 (1.35β30.44) | 0.026 | 5.19 (1.14β23.56) | 0.037 |
| Chronic Pain | ||||
| Yes | 1.73 (0.98β3.06) | 0.057 | 1.60 (1.18β2.17) | 0.008 |
| Discomfort | ||||
| Yes | 0.99 (0.56β1.74) | 0.966 | 0.75 (0.44β1.27) | 0.235 |
| Smoking Status | ||||
| Never | ||||
| Current | 0.74 (0.52β1.06) | 0.087 | 1.09 (0.61β1.97) | 0.732 |
| Former | 1.64 (1.12β2.41) | 0.018 | 3.08 (1.89β5.02) | 0.001 |
| Drinking Status | ||||
| Never | ||||
| Current | 0.53 (0.34β0.83) | 0.012 | 0.60 (0.37β0.99) | 0.045 |
| Former | 1.14 (0.60β2.19) | 0.639 | 0.74 (0.32β1.68) | 0.409 |
| Physical Activity | ||||
| Yes | 0.98 (0.67β1.42) | 0.884 | 1.02 (0.80β1.30) | 0.854 |
| Nutrient Supplements | ||||
| Yes | 1.02 (0.68β1.53) | 0.904 | 0.75 (0.55β1.01) | 0.055 |
| Worry About Children | ||||
| Yes | 1.58 (0.95β2.64) | 0.071 | 1.88 (0.84β4.25) | 0.108 |
| Change of Health Status | ||||
| Yes | 1.28 (0.66β2.49) | 0.409 | 0.92 (0.52β1.63) | 0.753 |
| Financial Hardship | ||||
| Yes | 1.08 (0.62β1.90) | 0.745 | 0.77 (0.49β1.22) | 0.22 |
| Death of a Close Relative | ||||
| Yes | 3.59 (2.16β5.95) | 0.001 | 2.26 (1.75β2.91) | <0.001 |
| Unexpected Financial Loss | ||||
| Yes | 4.81 (1.57β14.71) | 0.013 | 5.30 (2.99β9.39) | <0.001 |
| Sad Experiences | ||||
| Yes | 3.33 (1.71β6.49) | 0.004 | 0.90 (0.61β1.35) | 0.563 |
| Conflicts between Relatives or Friends | ||||
| Yes | 2.19 (0.50β9.60) | 0.249 | 0.96 (0.55β1.67) | 0.869 |
| Experience of Terror | ||||
| Yes | 0.84 (0.32β2.20) | 0.682 | 0.41 (0.26β0.64) | 0.002 |
| SSRS Score | ||||
| <20 | ||||
| 20β29 | 1.41 (0.94β2.10) | 0.082 | 1.52 (0.89β2.61) | 0.108 |
| β₯20 | 0.96 (0.36β2.56) | 0.916 | 0.74 (0.27β2.01) | 0.499 |
| Self-Care Ability | ||||
| No | 1.32 (0.79β2.23) | 0.244 | 1.53 (1.10β2.13) | 0.019 |
4. Discussion
This study showed that the prevalence of depressive symptoms in empty nesters reached 47%, which was significantly higher than the rate of 23.6% seen in the general elderly population. This finding was consistent with the findings of other studies [10,11,25], which may be due to the fact that, compared to non-empty nesters, empty nesters report lower incomes, a higher prevalence of chronic diseases, and no intimate siblings, friends, or even neighbors, which may increase their susceptibility to discomfort and anxiety and a higher risk of depression.
This study showed that the occurrence of depression in empty nesters was related to chronic conditions, such as being overweight/obese, religious beliefs, cancer, and chronic pain, as well as practices such as smoking and drinking. Being overweight/obese is a common problem among the elderly in China. In 2012, the rate of overweight residents aged 60 or older in China was 31.9% and the obesity rate was 11.6%, which were 7.6% and 2.7% higher than in 2002, respectively [31]. Being overweight/obese is a risk factor for many chronic diseases, which, to some extent, increases the psychological burden of the elderly. Chronic diseases damage the health of empty nesters and they also reduce their quality of life [32]. Empty nesters are likely to complain about emptiness and helplessness in life and feel that they lack friends and, therefore, are likely to be depressed [33,34]. Because of the poor prognosis and high mortality rate of many cancers, people generally have negative thoughts toward cancer. Therefore, after the diagnosis of cancer, the elderly, including empty nesters, are prone to anxiety and depression [19]. A strong association was found between cancer and the risk of depressive symptoms. Similarly, chronic pain is a long-term affliction in the elderly that negatively impacts their normal life, sleep, rest, and even psychology, making them prone to depressive symptoms [23,35]. Seemingly, empty nesters with religious beliefs are at a high risk of developing depressive symptoms, which may be related to the search for mental support by empty nesters after the occurrence of diseases or negative life experiences. In other words, many empty nesters develop religious beliefs after experiencing depressive symptoms or corresponding risk factors [36,37]. Smoking and drinking can relieve the psychological stress and anxiety of the elderly to a certain extent. On the other hand, however, smoking cessation may cause certain depressive symptoms in the elderly [38,39], and this may be due to the fact that, for some elderly, smoking was one of their pleasures that has now been taken away from them.
This study showed that the negative life experiences of losing loved ones and financial losses are risk factors for depression in empty nesters. These experiences often negatively impact the mental state of the elderly, making them prone to anger, loneliness, sadness, etc. Moreover, empty nesters cannot share their negative life events with other individuals due to the lack of an effective social support system, and negative coping strategies are often used, which can easily lead to symptoms of depression [1,40]. Chan et al. [41] found that negative life events, as stressors, were positively correlated with depression and they were potential risk factors for depression in the elderly. One study [42] showed that the number of negative life events was directly proportional to the risk of developing senile depression, and the number of negative events had an additive effect on senile depression. Therefore, negative life events, such as the death of a loved one and financial losses (e.g., due to natural disasters such as earthquakes), are likely to induce depressive symptoms in empty nesters [43,44].
High economic levels tend to lead to better health conditions and high life satisfaction [45,46]. A study on health and life satisfaction among the elderly showed that their perceptions of life satisfaction varied according to their health status [47], while life satisfaction was negatively correlated with depression [48]. Economic hardship may limit the ability of empty nesters to live independently and meet their social needs or desires [49]. Studies have shown that, compared with non-empty nesters, the income of empty nesters is lower, which may prevent them from interacting with friends or family in life or work, limiting their opportunities to increase their satisfaction with these aspects, increasing the incidence of depression [45].
The incapability of providing self-care is a risk factor for depression in elderly people. Self-care ability is the basis for the elderly to maintain social activities. Elderly people with impaired self-care ability will reduce their activities due to the weakening of the body, leading to a decline in physical flexibility and social adaptability. Consequently, elderly people will experience declines in their confidence to care for themselves, leading to fear and depression [50]. Self-care ability is closely related to the occurrence of depression [51]. The risk of depression in empty nesters with impaired self-care ability is significantly higher than the risk of depression in elderly people with normal self-care ability, which may be due to impaired self-care ability and leaves empty nesters dependent on their family and society. If these individuals are not properly cared for, they will experience negative emotions, such as helplessness or worthlessness, leading to depressive symptoms [52]. Therefore, improving the self-care ability of empty nesters is of great significance to the prevention and treatment of depression in this population.
5. Conclusions
This study investigated the prevalence of depressive symptoms and the corresponding risk factors in empty nesters and provided primary evidence for exploring the health problems of this population and proposing interventions. The main limitation of this study is that it was a cross-sectional investigation, which cannot determine the chronological order of factors and depressive symptoms necessary to determine causality. Through the study, it was found that the prevalence of depression in empty nesters was high and its occurrence was related to many factors. Being overweight/obese, cancer, chronic pain, smoking cessation, the death of a loved one, financial losses, and the incapability of providing self-care are risk factors for depression in empty nesters. We suggested that comprehensive measures should be taken to enhance health interventions for empty nesters, which include encouraging proper diets and physical activity to help them lose weight, delivering psychological counseling for negative life experiences, and teaching correct methods of smoking cessation. Further in-depth research on the major health issues of empty nesters is also suggested [42,53], such as lower limb atherosclerosis disease (LEAD), which is associated with increased risk of incident heart failure and may cause subsequent heart failure [54].
Acknowledgments
The authors would like to acknowledge Danjiang Sun at the Taizhou Tumor Hospital for his time and support for this research. Further, we would like to thank all participants and investigators at Wenling Center for Disease Control and Prevention.
Author Contributions
Methodology, Y.Y. and W.F.; validation, Y.Y., G.D., and W.F.; investigation, L.W., Y.J., J.L., and W.F.; resources, W.F.; formal analysis, Y.Z., T.Z., and F.H.; writingβoriginal draft preparation, Y.Y.; writingβreview and editing, Y.Y. and W.F. and all the other authors; funding acquisition, W.F.
Funding
This research was funded by Wenling Center for Disease Control and Prevention, grant number 2016C311144.
Conflicts of Interest
The authors declare no conflict of interest.