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. 2024 Feb 23;24(Suppl 1):311–319. doi: 10.1111/ggi.14835

Factors contributing to subjective well‐being and supporting successful aging among rural Japanese community‐dwelling older adults: A cross‐sectional and longitudinal study

Kensaku Shojima 1,2, Takara Mori 1,3, Yosuke Wada 1,4, Hiroshi Kusunoki 1,5, Kayoko Tamaki 1, Ryota Matsuzawa 6, Koutatsu Nagai 6, Masashi Goto 7, Takahiro Tabuchi 2, Yasuyuki Nagasawa 1, Ken Shinmura 1,
PMCID: PMC11503561  PMID: 38391051

Abstract

Aim

We aimed to identify the factors contributing to subjective well‐being in community‐dwelling older adults in rural Japan. This study explored the relationship among physical and mental health, socioeconomic status, and activity levels with regard to the subjective well‐being of older adults.

Methods

In the Frail Elderly in the Sasayama‐Tamba Area study, a cohort investigation of independent older adults in a rural Japanese community, 541 of 844 participants completed a 2‐year follow‐up survey. Subjective well‐being was assessed as a binary based on three factors – “happiness,” “satisfaction with life” and “meaning in life” – using a subset of the World Health Organization's Quality of Life questionnaire. The improvement group transitioned from not having subjective well‐being during the baseline survey to having subjective well‐being during the follow‐up survey. Furthermore, we used multivariable log‐Poisson regression models to calculate the prevalence ratios of subjective well‐being.

Results

The cross‐sectional study showed that sleep satisfaction, health services access satisfaction and having a higher‐level functional capacity were positively associated with having “happiness” and “satisfaction with life.” Furthermore, being aged 80 years and having financial leeway were positively associated with having “meaning in life.” The longitudinal study showed that having a higher‐level functional capacity was positively associated with improving “happiness” and “satisfaction with life.” Being female was positively associated with improving “happiness” and “meaning in life,” and health services access satisfaction and alcohol drinking were positively associated with improving “satisfaction with life” and “meaning in life,” respectively.

Conclusions

These findings offer promising avenues for enhancing the subjective well‐being of older adults. Geriatr Gerontol Int 2024; 24: 311–319.

Keywords: functional capacity, Japan, older adults, subjective well‐being, successful aging


We evaluated the factors contributing to subjective well‐being, dividing it into “happiness,” “satisfaction with life” and “meaning in life” in Japanese rural community‐dwelling older adults. A cross‐sectional study showed that characteristics, such as sleep satisfaction, health services satisfaction and having a higher‐level functional capacity were associated with subjective well‐being. In contrast, a longitudinal study identified the same factors as well as different factors, such as being female, contributing to improving subjective well‐being.

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Introduction

As the global population ages, the global community faces the pressing issue of creating a society where older individuals can enjoy healthy and vibrant lives based on successful aging. The aging process is intricately intertwined with physical, social and mental health; active participation in various facets of society; and the provision of protection, security and care. 1 Successful aging is characterized by the absence of multimorbidity, robust functional capacity, active life participation and good health. 2 , 3 Subjective well‐being, referring to individuals' self‐reported assessment of their own well‐being, is crucial to achieving successful aging 4 and has become increasingly critical in aging populations. A high subjective well‐being has a protective or positive effect on maintaining good health among older adults, 5 and one meta‐analysis showed that high subjective well‐being is associated with decreased mortality risk. 6

There has been no established method for measuring subjective well‐being since Diener first proposed the concept. 7 Nevertheless, several distinct approaches that capture different aspects of subjective well‐being could be used. The following three elements are recommended at the minimum: hedonic well‐being, life evaluation and eudemonic well‐being. 5 Hedonic well‐being refers to everyday feelings or moods, and one way to measure it is to ask respondents to rate their experience of “happiness.” Life evaluation refers to peoples' thoughts about the quality or goodness of their lives, and one way to measure it is to ask respondents to rate their experience of their “satisfaction with life.” Eudemonic well‐being focuses on judgments about the meaning and purpose of one's life, and one way to measure it is to ask respondents to rate their experience of “meaning in life.” Various scales have been developed to score and uniformly evaluate these elements, but they differ, and the factors that influence them are assumed to vary.

Exploring the subjective well‐being of rural communities in Japan is highly useful. In the face of increasing depopulation in large parts of Japan, the expansion of rural communities is becoming unavoidable. 8 Amenities in rural areas are not as convenient as those in urban areas. Studies have shown, however, that in wealthy nations, rural living contributes to greater subjective well‐being than does urban living. 9 In the Japanese language, the word ikigai is akin to eudemonic well‐being. 10 A survey carried out by the Cabinet Office clearly showed that older people living in rural areas are more likely to have ikigai than those living in large cities. 11 However, research on factors contributing to subjective well‐being in rural areas is lacking.

The primary objective of the present study was to elucidate the relationships among physical and mental health, socioeconomic status, and engagement in activities in regard to the three aspects of subjective well‐being among older adults residing in a rural community by their cross‐sectional relationships. In addition, we aimed to identify factors associated with changes in subjective well‐being based on longitudinal relationships. Enriching the subjective well‐being of older people is critical, but few studies have been carried out on this topic and dissected subjective well‐being into its facets. We attempted to fill that gap by investigating the factors contributing to subjective well‐being in older adults who lived in rural areas with the branch hospital of our university.

Methods

Study design and participants

This investigation had a prospective cohort design using data collected by the Frail Elderly in the Sasayama‐Tamba Area (FESTA) study, details of which can be found in our previous study. 12 , 13 , 14 This research focused on individuals aged ≥65 years and residing in the Sasayama‐Tamba area, a rural region within Hyogo Prefecture. This region is characterized by rugged terrain, and a significant portion of its residents engage in farming. The area's population is 41 490, with an aging rate of 32.6%, contrasting with the 2015 urban Japan aging rate of 26.7%.

We carried out a baseline survey between September 2015 and December 2017. A 2‐year follow‐up survey was carried out between September 2017 and December 2019. Exclusion criteria comprised: (i) the presence of cognitive impairment, identified through a baseline assessment Mini‐Mental State Examination score of <21; and (ii) participants with incomplete data.

All procedures described in this work conform to the ethical standards of the relevant national and institutional committees on human experimentation and the Declaration of Helsinki. The Institutional Review Board of Hyogo Medical University reviewed and approved the protocol for this study (approval no. Rinhi0342). Participants received comprehensive oral and written explanations outlining the study's objectives, methodologies and anticipated outcomes before the survey's commencement. Before participation, all individuals provided written informed consent. The data used in this analysis were anonymized and masked to ensure privacy and confidentiality.

Assessment of subjective well‐being and the possible factors related to it

The measure of subjective well‐being was based on items from the World Health Organization Quality of Life questionnaires. 15 , 16 “Happiness,” “satisfaction with life” and “meaning in life” were assessed using the following questions: “How much do you enjoy life?”, “How satisfied are you with yourself?” and “To what extent do you feel your life to be meaningful?”, respectively, ranked on a 5‐point response scale ranging from 1 (“not at all”) to 5 (“extremely”). Those who responded with a 4 or 5 to each question were considered to have “happiness,” “satisfaction with life” or “meaning in life,” accordingly.

We divided the participants into three groups: the improvement group (who went from not having subjective well‐being to having subjective well‐being), the unchanged group and the worsening group (who went from having subjective well‐being to not having subjective well‐being).

Characteristics of the sample group were sex, age group (65–69 years, 70–79 years or 80 years ), education (≤12 years or >12 years of education), subjective economic status (having or lacking financial leeway), alcohol consumption (drinker or non‐drinker), smoking (never, former or current) and the number of comorbidities. Other possible factors related to subjective well‐being included frailty (robust, prefrail or frail), satisfaction with access to health services (yes or no), having a higher‐level functional capacity (yes or no), satisfaction with sleep (yes or no) and step counts (≤6000 steps/day or >6000 steps/day). We selected these variables from existing literature reviews and medical perspectives. 1 , 17

We defined frailty phenotypes based on limitations in three or more of the following five conditions, assessed using the Cardiovascular Health Study: slow gait speed, weakness, exhaustion, reduced activity and weight loss. 18 The frailty score, adjusted according to the Japanese version of the Cardiovascular Health Study, was determined by counting the applicable conditions. Individuals without these conditions were classified as robust, whereas those presenting with one or two conditions were classified as prefrail. 19

Our assessment of higher‐level functional capacity used the Japan Science and Technology Agency Index of Competence, which originated from the Tokyo Metropolitan Institute of Gerontology Index of Competence. 20 The Japan Science and Technology Agency Index of Competence encompasses 16 items categorized into four groups: use of new equipment, information‐gathering, daily life management and social involvement. A high score on this index signifies a favorable functional status. A score of ≥13 out of 16 was defined as “having a higher‐level functional capacity.”

Additional descriptions of each variable's measurements are shown in the Supplementary Methods in Data S1.

Statistical analysis

Using a baseline survey, we explored factors contributing to subjective well‐being in a cross‐sectional study. In a longitudinal study, the outcome is improving or worsening each component of subjective well‐being, and we used a follow‐up survey to determine changes in subjective well‐being. Variables are from the baseline survey in both cross‐sectional and longitudinal studies. Because the outcomes were not rare, we used multivariable log‐Poisson regression models to calculate the prevalence ratios (PRs) for subjective well‐being, and the models converged. Percentages were shown with 95% confidence intervals (CIs) calculated using Wald's method. All analyses were carried out using SAS software version 9.3 (SAS Institute, Cary, NC, USA).

Results

In the initial phase of the survey, a baseline assessment was carried out on 844 older adults. As four individuals were excluded from the study due to cognitive impairment, and 24 due to missing data, the number of eligible participants in the baseline surveys was 816. Finally, 541 participants (64.1%) were tracked over 2 years, as 275 could not follow up (Fig. 1).

Figure 1.

Figure 1

Flowchart showing the recruitment process and group allocation of the study participants.

Among them, 352 were women, representing 65.1% of the group, whereas 189 were men, representing 34.9%. Of the total, 58.4%, 65.3% and 60.1% scored as having “happiness,” “satisfaction with life” and “meaning in life,” respectively (Table 1). Table 1 shows the PRs of well‐being for three aspects among all participants. The significant common factors associated with higher PRs for experiencing “happiness” and “satisfaction with life” than the reference category in the baseline survey were “satisfaction with sleep,” “satisfaction with access to health services” and “having a higher‐level functional capacity.” Furthermore, the significant factors linked to higher PRs for experiencing “meaning in life” than the reference category in the baseline survey were being aged 80 years and having financial leeway.

Table 1.

Proportion and prevalence ratios of older adults' subjective well‐being based on the characteristics of study participants in the baseline survey

Factors contributing to happiness in older adults
N n % (95% CI) PR (95% CI) P‐value
Total 541 316 58.4 (54.3–62.6)
Sex Male 189 109 57.7 (50.6–64.7) 1 (Reference)
Female 352 207 58.8 (53.7–64.0) 1.15 (0.81–1.63) 0.432
Age group 65–69 years 224 115 51.3 (44.8–57.9) 1 (Reference)
70–79 years 257 160 62.3 (56.3–68.2) 1.17 (0.91–1.50) 0.226
≥80 years 60 41 68.3 (56.6–80.1) 1.38 (0.94–2.00) 0.096
Education ≤12 years 429 249 58.0 (53.4–62.7) 1 (Reference)
>12 years 112 67 59.8 (50.7–68.9) 1.03 (0.78–1.37) 0.833
Economic status No financial leeway 378 196 51.9 (46.8–56.9) 1 (Reference)
Financial leeway 163 120 73.6 (66.9–80.4) 1.25 (0.98–1.58) 0.067
Alcohol drinking Non‐drinker 284 162 57.0 (51.3–62.8) 1 (Reference)
Drinker 257 154 59.9 (53.9–65.9) 1.15 (0.90–1.47) 0.273
Smoking Never 388 232 59.8 (54.9–64.7) 1 (Reference)
Former 134 75 56.0 (47.6–64.4) 0.97 (0.68–1.38) 0.867
Current 19 9 47.4 (24.9–69.8) 0.75 (0.37–1.53) 0.433
No. comorbidities Nothing 113 69 61.1 (52.1–70.1) 1 (Reference)
1–2 358 220 61.5 (56.4–66.5) 1.00 (0.76–1.32) 0.998
≥3 70 27 38.6 (27.2–50.0) 0.66 (0.42–1.04) 0.076
Frailty Robust 243 161 66.3 (60.3–72.2) 1 (Reference)
Prefrail 278 148 53.2 (47.4–59.1) 0.89 (0.71–1.13) 0.344
Frail 20 7 35.0 (14.1–55.9) 0.72 (0.33–1.57) 0.408
Satisfaction with access to health services No 273 139 50.9 (45.0–56.9) 1 (Reference)
Yes 268 177 66.0 (60.4–71.7) 1.27 (1.01–1.61) 0.042
Having a higher‐level functional capacity No 174 79 45.4 (38.0–52.8) 1 (Reference)
Yes 367 237 64.6 (59.7–69.5) 1.31 (1.01–1.70) 0.045
Satisfaction with sleep No 220 98 44.6 (38.0–51.1) 1 (Reference)
Yes 321 218 67.9 (62.8–73.0) 1.31 (1.01–1.71) 0.044
Step counts ≤6000 steps/day 358 201 56.2 (51.0–61.3) 1 (Reference)
>6000 steps/day 183 115 62.8 (55.8–69.8) 1.10 (0.86–1.40) 0.453
Factors contributing to satisfaction with life in older adults
N n % (95% CI) PR (95% CI) P‐value
Total 541 353 65.3 (61.2–69.3)
Sex Male 189 130 68.8 (62.2–75.4) 1 (Reference)
Female 352 223 63.4 (58.3–68.4) 1.08 (0.78–1.51) 0.630
Age group 65–69 years 224 138 61.6 (55.3–67.9) 1 (Reference)
70–79 years 257 167 65.0 (59.2–70.8) 0.99 (0.78–1.26) 0.955
≥80 years 60 48 80.0 (69.9–90.1) 1.32 (0.93–1.87) 0.117
Education ≤12 years 429 280 65.3 (60.8–69.8) 1 (Reference)
>12 years 112 73 65.2 (56.4–74.0) 0.93 (0.71–1.22) 0.618
Economic status No financial leeway 378 225 59.5 (54.6–64.5) 1 (Reference)
Financial leeway 163 128 78.5 (72.2–84.8) 1.18 (0.94–1.48) 0.150
Alcohol drinking Non‐drinker 284 176 62.0 (56.3–67.6) 1 (Reference)
Drinker 257 177 68.9 (63.2–74.5) 1.14 (0.91–1.45) 0.259
Smoking Never 388 250 64.4 (59.7–69.2) 1 (Reference)
Former 134 90 67.2 (59.2–75.1) 1.03 (0.74–1.43) 0.868
Current 19 13 68.4 (47.5–89.3) 0.98 (0.54–1.79) 0.957
No. comorbidities Nothing 113 80 70.8 (62.4–79.2) 1 (Reference)
1–2 358 233 65.1 (60.2–70.0) 0.91 (0.70–1.18) 0.465
≥3 70 40 57.1 (45.6–68.7) 0.84 (0.57–1.25) 0.393
Frailty Robust 243 173 71.2 (65.5–76.9) 1 (Reference)
Prefrail 278 171 61.5 (55.8–67.2) 0.95 (0.76–1.18) 0.619
Frail 20 9 45.0 (23.2–66.8) 0.75 (0.38–1.50) 0.419
Satisfaction with access to health services No 273 150 55.0 (49.0–60.9) 1 (reference)
Yes 268 203 75.8 (70.6–80.9) 1.34 (1.07–1.68) 0.010
Having a higher‐level functional capacity No 174 90 51.7 (44.3–59.2) 1 (reference)
Yes 367 263 71.7 (67.1–76.3) 1.32 (1.03–1.69) 0.030
Satisfaction with sleep No 220 110 50.0 (43.4–55.6) 1 (reference)
Yes 321 243 75.7 (71.0–80.4) 1.42 (1.13–1.79) 0.003
Step counts ≤6000 steps/day 358 224 62.6 (57.6–67.6) 1 (reference)
>6000 steps/day 129 54 70.5 (63.9–77.1) 1.09 (0.87–1.37) 0.454
Factors contributing to meaning in life in older adults
N n % (95% CI) PR (95% CI) P‐value
Total 541 325 60.1 (56.0–64.2)
Sex Male 189 112 59.3 (52.3–66.5) 1 (Reference)
Female 352 213 60.5 (55.4–65.6) 1.15 (0.81–1.63) 0.448
Age group 65–69 years 224 116 51.8 (45.2–58.3) 1 (Reference)
70–79 years 257 164 63.8 (57.9–69.7) 1.20 (0.94–1.54) 0.121
≥80 years 60 45 75.0 (64.0–86.0) 1.51 (1.05–2.18) 0.026
Education ≤12 years 429 255 59.4 (54.8–64.1) 1 (Reference)
>12 years 112 70 62.5 (53.5–71.5) 1.01 (0.77–1.34) 0.918
Economic status No financial leeway 378 196 51.7 (46.7–56.7) 1 (Reference)
Financial leeway 163 129 79.1 (72.9–85.4) 1.42 (1.13–1.79) 0.003
Alcohol drinking Non‐drinker 284 166 58.5 (52.7–64.2) 1 (Reference)
Drinker 257 159 62.2 (56.3–68.1) 1.14 (0.89–1.46) 0.286
Smoking Never 388 237 60.6 (55.8–65.4) 1 (Reference)
Former 134 75 56.0 (47.6–64.4) 0.94 (0.66–1.34) 0.736
Current 19 13 68.4 (47.5–89.3) 1.13 (0.62–2.07) 0.694
No. comorbidities Nothing 113 69 61.1 (52.1–70.1) 1 (Reference)
1–2 358 220 61.5 (56.4–66.5) 0.98 (0.74–1.29) 0.873
≥3 70 36 51.4 (39.7–63.1) 0.83 (0.55–1.26) 0.377
Frailty Robust 243 157 64.6 (58.6–70.6) 1 (Reference)
Prefrail 278 157 56.5 (50.7–62.3) 0.92 (0.73–1.16) 0.495
Frail 20 11 55.0 (33.2–76.8) 0.96 (0.51–1.81) 0.895
Satisfaction with access to health services No 273 143 52.4 (46.5–58.3) 1 (Reference)
Yes 268 182 67.9 (62.3–73.5) 1.22 (0.97–1.53) 0.094
Having a higher‐level functional capacity No 174 87 50.0 (42.6–57.4) 1 (Reference)
Yes 367 238 64.9 (60.0–69.7) 1.24 (0.96–1.60) 0.101
Satisfaction with sleep No 225 121 54.1 (47.5–60.7) 1 (Reference)
Yes 321 206 64.2 (58.9–69.4) 1.08 (0.85–1.36) 0.527
Step counts ≤6000 steps/day 358 216 60.3 (55.3–65.4) 1 (Reference)
>6000 steps/day 183 109 59.6 (52.5–66.7) 1.00 (0.78–1.28) 0.989

Adjusted for all variables.

Boldface indicates statistical significance of P < 0.05.

CI, confidence interval; N, total number; n, number of participants showing subjective well‐being; PR, prevalence ratio.

Table 2 shows the changes in subjective well‐being during the 2‐year follow‐up period. In the follow‐up survey, carried out 2 years after the first, 233, 292 and 240 individuals who had “happiness,” “satisfaction with life” and “meaning in life,” respectively, in the baseline survey maintained the same status, whereas 83, 61 and 85 switched to not having “happiness,” “satisfaction with life” and “meaning in life,” respectively. Furthermore, 165, 128 and 150 individuals who did not have “happiness,” “satisfaction with life” and “meaning in life,” respectively, in the baseline survey maintained the same status, whereas 60, 60 and 66 transitioned to having “happiness,” “satisfaction with life” and “meaning in life,” respectively.

Table 2.

Changes in the well‐being status of all participants

“Happiness”
Baseline status n (%) Follow‐up status n (%) Category
Having “happiness” 316 (58.4) Having “happiness” 233 (43.1) Unchanged
Not having “happiness” 83 (15.3) Worsened
Not having “happiness” 225 (41.6) Having “happiness” 60 (11.1) Improved
Not having “happiness” 165 (30.5) Unchanged
“Satisfaction with life”
Baseline status n (%) Follow‐up status n (%) Category
Having “satisfaction with life” 353 (65.2) Having “satisfaction with life” 292 (54.0) Unchanged
Not having “satisfaction with life” 61 (11.3) Worsened
Not having “satisfaction with life” 188 (34.8) Having “satisfaction with life” 60 (11.1) Improved
Not having “satisfaction with life” 128 (23.7) Unchanged
“Meaning in life”
n (%) Follow‐up status n (%) Category
Having “meaning in life” 325 (60.1) Having “meaning in life” 240 (44.4) Unchanged
Not having “meaning in life” 85 (15.7) Worsened
Not having “meaning in life” 216 (39.9) Having “meaning in life” 66 (12.2) Improved
Not having “meaning in life” 150 (27.7) Unchanged

Table 3 presents the PRs of well‐being across three aspects in the group that experienced an improvement. The significant common factor associated with PRs for “happiness” and “satisfaction with life” that were higher than the reference category was “having a higher‐level functional capacity.” Being female was the common factor associated with PRs for “happiness” and “meaning in life” that were higher than the reference category. A significant factor linked to high PRs of experiencing “satisfaction with life” was “satisfaction with access to health services.” Furthermore, a significant factor linked to high PRs of experiencing “meaning in life” was alcohol consumption. By contrast, few factors were significantly associated with worsening subjective well‐being; the only negative predictor was “having a higher‐level functional capacity,” which negatively predicted “meaning in life” (Supplementary Table S1).

Table 3.

Proportion and prevalence ratios of improved subjective well‐being among older adults based on the characteristics of study participants who did not have subjective well‐being in the baseline survey

Factors contributing to the improvement of happiness in older adults
N n % (95% CI) PR (95% CI) P‐value
Total 225 60 26.7 (20.9–32.4)
Sex Male 80 16 20.0 (11.2–28.8) 1 (Reference)
Female 145 44 30.3 (22.9–37.8) 2.49 (1.03–6.01) 0.043
Age group 65–69 years 109 31 28.4 (20.0–36.9) 1 (Reference)
70–79 years 97 26 26.8 (18.0–35.6) 1.10 (0.63–1.92) 0.746
≥80 years 19 3 15.8 (0.0–32.2) 0.86 (0.24–3.15) 0.824
Education ≤12 years 180 50 27.8 (21.2–34.3) 1 (Reference)
>12 years 45 10 22.2 (10.1–34.4) 0.87 (0.43–1.77) 0.704
Economic status No financial leeway 182 45 24.7 (18.5–31.0) 1 (Reference)
Financial leeway 43 15 34.9 (20.6–49.1) 1.45 (0.77–2.73) 0.244
Alcohol drinking Non‐drinker 122 31 25.4 (17.7–33.1) 1 (Reference)
Drinker 103 29 28.2 (19.5–36.8) 1.25 (0.71–2.19) 0.437
Smoking Never 156 41 26.3 (19.4–33.2) 1 (Reference)
Former 59 16 27.1 (15.8–38.5) 2.03 (0.91–4.54) 0.084
Current 10 3 30.0 (1.6–58.4) 1.87 (0.46–7.50) 0.379
No. comorbidities Nothing 44 12 27.3 (14.1–40.4) 1 (Reference)
1–2 138 37 26.8 (19.4–34.2) 1.07 (0.55–2.08) 0.850
≥3 43 11 25.6 (12.5–38.6) 1.15 (0.48–2.77) 0.753
Frailty Robust 82 20 24.4 (15.1–33.7) 1 (Reference)
Prefrail 130 37 28.5 (20.7–36.2) 1.42 (0.79–2.54) 0.242
Frail 13 3 23.1 (0.2–46.0) 1.37 (0.36–5.16) 0.644
Satisfaction with access to health services No 134 35 26.1 (18.7–33.6) 1 (Reference)
Yes 91 25 27.5 (18.3–36.6) 1.05 (0.59–1.88) 0.860
Having a higher‐level functional capacity No 95 15 15.8 (8.5–23.1) 1 (Reference)
Yes 130 45 34.6 (26.4–42.8) 2.15 (1.16–3.99) 0.016
Satisfaction with sleep No 122 29 23.8 (16.2–31.3) 1 (Reference)
Yes 103 31 30.1 (21.2–39.0) 1.36 (0.80–2.31) 0.255
Step counts ≤6000 steps/day 157 44 28.0 (21.0–35.1) 1 (Reference)
>6000 steps/day 68 16 23.5 (13.5–33.6) 0.89 (0.49–1.63) 0.707
Factors contributing to the improvement of satisfaction with life in older adults
N n % (95% CI) PR (95% CI) P‐value
Total 188 60 31.9 (25.3–38.6)
Sex Male 59 22 37.3 (25.0–49.6) 1 (Reference)
Female 129 38 29.5 (21.6–37.3) 0.76 (0.29–1.99) 0.570
Age group 65–69 years 86 27 31.4 (21.6–41.2) 1 (Reference)
70–79 years 90 31 34.4 (24.6–44.3) 0.99 (0.57–1.74) 0.984
≥80 years 12 2 16.7 (0.0–37.8) 0.68 (0.14–3.21) 0.625
Education ≤12 years 149 47 31.5 (24.1–39.0) 1 (Reference)
>12 years 39 13 33.3 (18.5–48.1) 0.88 (0.46–1.71) 0.710
Economic status No financial leeway 153 46 30.1 (22.8–37.3) 1 (Reference)
Financial leeway 35 14 40.0 (23.8–56.2) 1.02 (0.54–1.94) 0.943
Alcohol drinking Non‐drinker 108 33 30.6 (21.9–39.2) 1 (Reference)
Drinker 80 27 33.8 (23.4–44.1) 0.80 (0.42–1.53) 0.498
Smoking Never 138 41 29.7 (22.1–37.3) 1 (Reference)
Former 44 16 36.4 (22.2–50.6) 1.21 (0.51–2.84) 0.668
Current 6 3 50.0 (10.0–90.0) 1.30 (0.29–5.88) 0.732
No. comorbidities Nothing 33 8 24.2 (9.6–38.9) 1 (Reference)
1–2 125 43 34.4 (26.1–42.7) 1.59 (0.73–3.47) 0.247
≥3 30 9 30.0 (13.6–46.4) 1.47 (0.54–3.97) 0.451
Frailty Robust 70 29 41.4 (29.9–53.0) 1 (Reference)
Prefrail 107 27 25.2 (17.0–33.5) 0.63 (0.35–1.14) 0.128
Frail 11 4 36.4 (7.9–64.8) 0.96 (0.31–3.03) 0.951
Satisfaction with access to health services No 123 33 26.8 (19.0–34.7) 1 (Reference)
Yes 65 27 41.5 (29.6–53.5) 1.90 (1.09–3.30) 0.024
Having a higher‐level functional capacity No 84 15 17.9 (9.7–26.1) 1 (Reference)
Yes 104 45 43.3 (33.8–52.8) 2.51 (1.34–4.70) 0.004
Satisfaction with sleep No 110 30 27.3 (19.0–35.6) 1 (Reference)
Yes 78 30 38.5 (27.7–49.3) 1.33 (0.77–2.29) 0.306
Step counts ≤6000 steps/day 134 42 31.3 (23.5–39.2) 1 (Reference)
>6000 steps/day 54 18 33.3 (20.8–45.9) 0.89 (0.49–1.63) 0.713
Factors contributing to the improvement of meaning in life in older adults
N n % (95% CI) PR (95% CI) P‐value
Total 216 66 30.6 (24.4–36.7)
Sex Male 77 17 22.1 (12.8–31.3) 1 (Reference)
Female 139 49 35.3 (27.3–43.2) 2.51 (1.02–6.17) 0.046
Age group 65–69 years 108 38 35.2 (26.2–44.2) 1 (Reference)
70–79 years 93 24 25.8 (16.9–34.7) 0.85 (0.49–1.49) 0.574
≥80 years 15 4 26.7 (4.3–49.1) 1.08 (0.35–3.41) 0.890
Education ≤12 years 174 53 30.5 (23.6–37.3) 1 (Reference)
>12 years 42 13 31.0 (17.0–44.9) 0.99 (0.50–1.97) 0.988
Economic status No financial leeway 182 54 29.7 (23.0–36.3) 1 (Reference)
Financial leeway 34 12 35.3 (19.2–51.4) 1.06 (0.56–2.04) 0.852
Alcohol drinking Non‐drinker 118 30 25.4 (17.6–33.3) 1 (reference)
Drinker 98 36 36.7 (27.2–46.3) 1.82 (1.06–3.11) 0.029
Smoking Never 151 50 33.1 (25.6–40.6) 1 (Reference)
Former 59 15 25.4 (14.3–36.5) 1.24 (0.54–2.85) 0.618
Current 6 1 16.7 (0.0–46.5) 0.75 (0.09–6.51) 0.797
No. comorbidities Nothing 44 19 43.2 (28.6–57.8) 1 (Reference)
1–2 138 35 25.4 (18.1–32.6) 0.59 (0.38–1.26) 0.225
≥3 34 12 35.3 (19.2–51.4) 0.96 (0.42–2.19) 0.929
Frailty Robust 86 31 36.1 (25.9–46.2) 1 (Reference)
Prefrail 121 32 26.5 (18.6–34.3) 0.84 (0.48–1.46) 0.534
Frail 9 3 33.3 (2.5–64.1) 0.96 (0.25–3.72) 0.952
Satisfaction with access to health services No 130 36 27.7 (20.0–35.4) 1 (Reference)
Yes 86 30 34.9 (24.8–45.0) 1.51 (0.89–2.58) 0.128
Having a higher‐level functional capacity No 87 23 26.4 (17.2–35.7) 1 (Reference)
Yes 129 43 33.3 (25.2–41.5) 1.15 (0.68–1.96) 0.604
Satisfaction with sleep No 101 28 27.7 (19.0–36.5) 1 (Reference)
Yes 115 38 33.0 (24.5–41.6) 1.30 (0.76–2.23) 0.341
Step counts ≤6000 steps/day 142 41 28.9 (21.4–36.3) 1 (Reference)
>6000 steps/day 74 25 33.8 (23.0–44.6) 1.40 (0.82–2.40) 0.215

Boldface indicates statistical significance of P < 0.05.

CI, confidence interval; N, number of participants who did not have meaning in life in the baseline survey; n, number of participants with improving changes in subjective well‐being in the follow‐up survey; PR, prevalence ratio.

Adjusted for all variables.

Discussion

The present cross‐sectional study showed common factors that were positively correlated with both “happiness” and “satisfaction with life,” and other factors were positively correlated with “meaning in life.”

Satisfaction with sleep was positively correlated with both “happiness” and “satisfaction with life.” Insomnia is prevalent in older adults, and a survey carried out of the general adult population in Japan found that 29.5% of individuals aged ≥60 years reported experiencing it. 21 Furthermore, subjective sleep sufficiency is strongly associated with several health conditions, including subjective well‐being. 22 Although investigating the relationship between objective sleep quality and subjective well‐being remains a challenge, improving satisfaction with sleep might be important to older adults' subjective well‐being.

Satisfaction with access to health services and having a higher‐level functional capacity were also associated with “happiness” and “satisfaction with life.” Previous studies in China have shown that access to health services is significantly associated with life satisfaction. 23 Although Japan is considered to have relatively good access to medical care, the rural setting of this study might have influenced our results. In contrast, a previous paper from Sweden reported that a decline in activities of daily living leads to lower life satisfaction among older adults. 24 The results of our study, in which having a higher‐level functional capacity is significantly related to the life satisfaction of older adults, are convincing.

It is fascinating to note that, unlike the other aspects of subjective well‐being, being aged 80 years and having financial leeway were associated with having a sense of “meaning in life.” It is assumed that older people tend to have a more positive outlook on life. 25 Furthermore, previous reports have shown that having financial leeway is associated with having “meaning in life” in older adults. 26 Having “meaning in life” is a critical aspect of the subjective well‐being of older adults. 27

The status of subjective well‐being is not necessarily universal, and it changed during the 2‐year follow‐up period. Longitudinal study identified several characteristics of those likely to improve their subjective well‐being during the follow‐up period.

In the present study, having a higher‐level functional capacity was generally found to be associated with subjective well‐being. Historically, a decrease in functional capacity has been associated with reduced subjective well‐being. 28 Frailty was found to be associated with declining levels of well‐being among community‐dwelling older people in a Canadian study. 29 Although few studies in Japan have considered frailty in the context of subjective well‐being, it is essential to examine it when investigating subjective well‐being. The present study, however, did not identify a correlation between subjective well‐being and the state of frailty, even though the percentage of people with subjective well‐being had a corresponding decrease in their frailty. Having a higher‐level functional capacity might have been a confounding factor in this respect.

In terms of having “happiness” or “meaning in life,” it is interesting that being female was a predictor of improvement in these areas. Although there are few differences in subjective well‐being based on sex, 30 this observation might indicate that women are more adaptable than men. Satisfaction with access to health services also predicted improvement in having “satisfaction with life.” Access to healthcare is essential for older adults as social capital and might positively modify their subjective well‐being, which can fluctuate.

Alcohol consumption might positively or negatively affect an individual's well‐being. The effects of alcohol can vary based on different factors, such as the amount consumed, frequency of consumption, individual lifestyle and health condition. This study did not investigate the amount of alcohol consumed. Excessive alcohol consumption causes multiple diseases. 31 Appropriate alcohol consumption, however, might positively affect social relationships in a rural community. 32 Further investigations are needed.

The ability of older adults to maintain their physical activity levels, and continue engaging in social, economic, cultural, spiritual and civic pursuits signifies active and healthy aging. 33 Furthermore, vibrant, healthy aging involves maximizing opportunities to achieve successful aging. 1 In this context, subjective well‐being and its associated individual physical aspects, and community and social factors can serve as potent instruments in the pursuit of successful aging. The findings of this study could have implications for policies to enhance the subjective well‐being, which in turn supports the successful aging, of older adults in Japan.

There were several limitations in the present study. First, it might be subject to participant selection bias, because it relied on older individuals who voluntarily engaged in medical checkups. Participants were recruited through community newspaper advertisements or oral announcements, which could have introduced bias, as those who responded tended to be health‐conscious and in relatively good health. Consequently, the study had a low proportion of frail participants. Second, although we screened for extreme responses, the data collected were based on self‐reports and lacked systematic validation testing, potentially affecting the accuracy of the information gathered. Third, the follow‐up rate of 64% was relatively low, partly due to the location of the Tamba‐Sasayama area, which is in a rural part of Hyogo Prefecture and has limited access to public transportation. Consequently, many participants, especially those experiencing a decline in physical ability, might have been unable to attend the follow‐up survey, resulting in potential dropout bias. Supplementary Table S2 provides a detailed overview of the study participants, distinguishing between those who were followed up after 2 years and those who were not. A significantly higher percentage of participants who could not be followed up were those who lacked financial leeway, were current smokers, non‐drinkers or frail, or had “a higher‐level functional capacity.” This result indicates which attributes are missing due to dropping out. Finally, it might be more desirable to construct a novel validated method of assessing subjective well‐being that does not use a single question on the World Health Organization Quality of Life questionnaire to evaluate hedonic well‐being, life evaluation and eudemonic well‐being, but rather, a more accurate assessment. Quality of life and subjective well‐being are closely related, but distinct concepts. Assessing only quality of life does not capture all the facets of subjective well‐being. Therefore, although assessing subjective well‐being in three aspects was one of the solutions to evaluate the subjective well‐being of older adults, it is essential to recognize its limitations and integrate other assessment methods or approaches in the future to have a comprehensive understanding.

The present study examined subjective well‐being, dividing it into “happiness,” “satisfaction with life” and “meaning in life.” Multiple factors related to subjective well‐being, such as having a higher‐level functional capacity, were identified. Subjective well‐being did not consistently remain static, but changed throughout the 2‐year follow‐up period. Several factors, such as being female, were associated with this change. The findings show that the factors associated with subjective well‐being are likely to contribute to successful aging. Individual health and longevity are also crucial for building a healthy super‐aged society in the future. This study will help shape future policies and strategies for improving subjective well‐being.

Disclosure statement

The authors declare no conflict of interest.

Author contributions

KSho and KShi contributed to data curation, investigation, formal analysis, funding acquisition, writing of the original draft, and review and editing of the draft. TM, YW, HK, KT, RM, KN, MG and YN contributed to data curation, investigation, and review and editing of the draft. TT contributed to the investigation, and review and editing of the draft.

Supporting information

Data S1. Supporting information.

GGI-24-311-s001.docx (230.4KB, docx)

Acknowledgements

We thank the medical staff at Sasayama Medical Center, Hyogo Medical University, who supported FESTA.

This study was supported in part by JSPS KAKENHI (grant number: 22K19496; 2022–2023), the Uehara Memorial Foundation (2021), the National Center for Geriatrics and Gerontology (Choujyu 20‐1; 2022–2023; Dr Shinmura), and the Research Grants for Gerontology from the Sompo Welfare Foundation (2022; Dr Shojima). The funders had no role in the study design, data collection and analysis, manuscript preparation or decision to publish this study.

Shojima K, Mori T, Wada Y, et al. Factors contributing to subjective well‐being and supporting successful aging among rural Japanese community‐dwelling older adults: A cross‐sectional and longitudinal study. Geriatr. Gerontol. Int. 2024;24:311–319. 10.1111/ggi.14835

Data availability statement

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

References

  • 1. Imamatsu Y, Oe N, Ito E et al. Subjective well‐being and related factors among independent, healthy, community‐dwelling older adults in Japan. Healthcare 2023; 11: 2211. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Rowe JW, Kahn RL. Successful aging 2.0: conceptual expansions for the 21st century. J Gerontol B Psychol Sci Soc Sci 2015; 70: 593–596. [DOI] [PubMed] [Google Scholar]
  • 3. Rowe JW, Kahn RL. Successful aging. Gerontologist 1997; 37: 433–440. [DOI] [PubMed] [Google Scholar]
  • 4. Blanco‐Molina M, Pinazo‐Hernandis S, Tomás JM. Subjective well‐being key elements of successful aging: a study with lifelong learners older adults from Costa Rica and Spain. Arch Gerontol Geriatr 2019; 85: 103897. [DOI] [PubMed] [Google Scholar]
  • 5. Steptoe A, Deaton A, Stone AA. Subjective wellbeing, health, and ageing. Lancet 2015; 385: 640–648. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Martín‐María N, Miret M, Caballero FF et al. The impact of subjective well‐being on mortality: a meta‐analysis of longitudinal studies in the general population. Psychosom Med 2017; 79: 565–575. [DOI] [PubMed] [Google Scholar]
  • 7. Diener E. Subjective well‐being. Psychol Bull 1984; 95: 542–575. [PubMed] [Google Scholar]
  • 8. Feldhoff T. Shrinking communities in Japan: community ownership of assets as a development potential for rural Japan? Urban Des Int 2013; 18: 99–109. [Google Scholar]
  • 9. Requena F. Rural–urban living and level of economic development as factors in subjective well‐being. Soc Indic Res 2016; 128: 693–708. [Google Scholar]
  • 10. Kumano M. On the concept of well‐being in Japan: feeling Shiawase as hedonic well‐being and feeling ikigai as eudaimonic well‐being. Appl Res Qual Life 2018; 13: 419–433. [Google Scholar]
  • 11. Cabinet Office of Japan. 2010. Results of the survey on lifestyle of the elderly in local area. (Accessed 1 August 2022).
  • 12. Mori T, Nagai K, Tamaki K et al. Impact of quality of life on future frailty status of rural Japanese community‐dwelling older adults. Exp Gerontol 2022; 168: 111930. [DOI] [PubMed] [Google Scholar]
  • 13. Nagai K, Tamaki K, Kusunoki H et al. Isotemporal substitution of sedentary time with physical activity and its associations with frailty status. Clin Interv Aging 2018; 13: 1831–1836. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Tamaki K, Kusunoki H, Tsuji S et al. The relationship between dietary habits and frailty in rural Japanese community‐dwelling older adults: cross‐sectional observation study using a brief self‐administered dietary history questionnaire. Nutrients 2018; 10: 1982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Tazaki M, Nakane Y. WHO QOL 26 Japanese Version (in Japanese). Tokyo: Kaneko Shobo, 1997. [Google Scholar]
  • 16. THE WHOQOL GROUP . Development of the World Health Organization WHOQOL‐BREF quality of life assessment. The WHOQOL group. Psychol Med 1998; 28: 551–558. [DOI] [PubMed] [Google Scholar]
  • 17. Vafaei A, Yu J, Phillips SP. The intersectional impact of sex and social factors on subjective health: analysis of the Canadian longitudinal study on aging (CLSA). BMC Geriatr 2021; 21: 473. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Satake S, Shimada H, Yamada M et al. Prevalence of frailty among community‐dwellers and outpatients in Japan as defined by the Japanese version of the cardiovascular health study criteria: letters to the editor. Geriatr Gerontol Int 2017; 17: 2629–2634. [DOI] [PubMed] [Google Scholar]
  • 19. Wada Y, Shojima K, Tamaki K et al. Association between timed up‐and‐go test and future changes in the frailty status in a longitudinal study of Japanese community‐dwelling older adults. Clin Interv Aging 2023; 18: 1191–1200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Komagamine Y, Kanazawa M, Iwaki M et al. Combined effect of new complete dentures and simple dietary advice on nutritional status in edentulous patients: study protocol for a randomized controlled trial. Trials 2016; 17: 539. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Kim K, Uchiyama M, Okawa M, Liu X, Ogihara R. An epidemiological study of insomnia among the Japanese general population. Sleep 2000; 23: 41–47. [PubMed] [Google Scholar]
  • 22. Yokoyama E, Saito Y, Kaneita Y et al. Association between subjective well‐being and sleep among the elderly in Japan. Sleep Med 2008; 9: 157–164. [DOI] [PubMed] [Google Scholar]
  • 23. Li C, Chi I, Zhang X, Cheng Z, Zhang L, Chen G. Urban and rural factors associated with life satisfaction among older Chinese adults. Aging Ment Health 2015; 19: 947–954. [DOI] [PubMed] [Google Scholar]
  • 24. Enkvist E, Elmståhl S. Associations between functional ability and life satisfaction in the oldest old: results from the longitudinal population study good aging in Skåne. Clin Interv Aging 2012; 7: 313–320. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Jonsén E, Norberg A, Lundman B. Sense of meaning in life among the oldest old people living in a rural area in northern Sweden. Int J Older People Nurs 2015; 10: 221–229. [DOI] [PubMed] [Google Scholar]
  • 26. King LA, Hicks JA, Krull JL, Del Gaiso AK. Positive affect and the experience of meaning in life. J Pers Soc Psychol 2006; 90: 179–196. [DOI] [PubMed] [Google Scholar]
  • 27. Li J‐B, Dou K, Liang Y. The relationship between presence of meaning, search for meaning, and Subjective well‐being: a three‐level meta‐analysis based on the meaning in life questionnaire. J Happiness Stud 2021; 22: 467–489. [Google Scholar]
  • 28. Etxeberria I, Etxebarria I, Urdaneta E. Subjective well‐being among the oldest old: the role of personality traits. Personal Individ Differ 2019; 146: 209–216. [Google Scholar]
  • 29. Andrew MK, Fisk JD, Rockwood K. Psychological well‐being in relation to frailty: a frailty identity crisis? Int Psychogeriatr 2012; 24: 1347–1353. [DOI] [PubMed] [Google Scholar]
  • 30. Røysamb E, Harris JR, Magnus P, Vittersù J, Tambs K. Subjective well‐being: sex‐specific effects of genetic and environmental factors. Personal Individ Differ 2002; 32: 211–223. [Google Scholar]
  • 31. Rehm J, Imtiaz S. A narrative review of alcohol consumption as a risk factor for global burden of disease. Subst Abuse Treat Prev Policy 2016; 11: 37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Shankar A, Rafnsson SB, Steptoe A. Longitudinal associations between social connections and subjective wellbeing in the English longitudinal study of ageing. Psychol Health 2015; 30: 686–698. [DOI] [PubMed] [Google Scholar]
  • 33. World Health Organization . Active ageing: a policy framework. 2002. Available from URL: https://iris.who.int/handle/10665/67215 [PubMed]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data S1. Supporting information.

GGI-24-311-s001.docx (230.4KB, docx)

Data Availability Statement

The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.


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