Abstract
Objectives
Elder abuse is a public health issue that is thought to have increased during the COVID-19 pandemic due to lockdowns and behavioral restrictions. This study examines the association between elder abuse and refrainment from daily activities during the pandemic.
Methods
We used data from a self-administered mail survey conducted by the Japan Gerontological Evaluation Study (JAGES) from November 2020 to February 2021 in 11 municipalities. Our participants included 18,263 older adults (age ≥65 years) who were independent in their daily lives. Logistic regression analysis was conducted to evaluate the association between elder abuse and refrainment from 10 daily activities, and the total number of refrained behaviors.
Results
Experiences of abuse were reported by 288 participants (1.6%). The risk of elder abuse was 1.37 times (95% confidence interval, 1.04–1.81) higher among those who refrained from shopping for food and daily necessities and 1.60 times (1.20–2.13) higher among those who refrained from interaction with neighbors, than those who did not. Also, a dose-response relationship was observed where the risk of abuse increased with the number of restrictions.
Conclusion
The risk of elder abuse increased as the number of refrained behaviors increased which suggests that refrainment from multiple behaviors may significantly increase the risk of elder abuse, compared with refrainment from a single behavior. To avoid increasing the risk of abuse in likely future pandemics, it is necessary to maintain social connections without face-to-face contact, or with adequate infection control measures.
Keywords: Elder abuse, COVID-19, Behavioral refrain, Violence
Highlights
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The risk of elder abuse was higher among those who refrained from shopping for food and daily necessities and from interaction with neighbors.
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The risk of abuse increased as the number of refrained behaviors increased.
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Our results illustrate that refraining from multiple behaviors may be significantly associated with an increased risk of abuse over that of refraining from a single behavior.
1. Introduction
The outbreak of the coronavirus pandemic (COVID-19) has restricted the activities of many people, including older adults (Lim et al., 2020). In March 2020, it was estimated that more than 3.4 billion people in 84 countries were restricted from going out (Bouziri et al., 2020). Although the Japanese Government did not implement lockdowns of cities or other legally-mandated measures, a stay-at-home order was complied with by the general population. In April 2020, major cities experienced 60%–80% reductions in the numbers of people going out. Home confinement raised concerns about the physical health of older adults, such as muscle weakness due to reduced physical activity, and about the effects on their psychological and social health, due to limited interactions with others (Maugeri et al., 2020; United Nations, 2020, pp. 1–16; Woods et al., 2020). There were also concerns about increasing violence, such as elder abuse in the home, due to lockdowns and restrictions on going out (Chang & Levy, 2021; Han & Mosqueda, 2020; Makaroun, Bachrach, & Rosland, 2020; United Nations, 2020, pp. 1–16).
Elder abuse is a public health challenge and is defined as “a single, or repeated act, or lack of appropriate action, occurring within any relationship where there is an expectation of trust, which causes harm or distress to an older person” by the World Health Organization (WHO, 2014). It reduces the well-being of older adults and negatively affects their health by increasing the risks of, for example, depression and suicide (Koga, Tsuji, Hanazato, Takasugi, & Kondo, 2022; Koga, Tsuji, Hanazato, Suzuki, & Kondo, 2020; Luo & Waite, 2011; Wong & Waite, 2017). Low level of social support and social capital can be risk factors for elder abuse (Johannesen & Logiudice, 2013; Koga, Hanazato, Tsuji, Suzuki, & Kondo, 2020; Park, 2018). Chang and colleagues studied 897 older adults in the United States and showed that elder abuse was positively associated with financial strain but negatively associated with a sense of community and physical distancing during the COVID-19 pandemic (Chang & Levy, 2021). Filipska and colleagues studied 347 hospitalized patients in Poland and found that low income, chronic diseases, poor relationships with family, and depression were associated with an increased risk of elder abuse during the pandemic (Filipska et al., 2021). Du and Chen recruited 10,362 Chinese older adults and reported that those who frequently participated in social activities were less likely to experience abuse during the pandemic (Du & Chen, 2021). This evidence indicated that social interaction is important in reducing the risk of elder abuse regardless of the COVID-19 pandemic. Although the association between social support and elder abuse has not been investigated enough, a study on 3157 older adults has reported that positive social interaction was a possible modifying effect on interpersonal strain (Zheng, Li, Kong, & Dong, 2019). Similarly, another study on 897 older adults argued that fewer interpersonal strains influenced mistreatment via loneliness, but social support moderated the influence. Moreover, the indirect effect of interpersonal strain on abuse via loneliness is more substantial for those with lower levels of support than those with higher levels of support (Chokkanathan, 2017). However, these studies during COVID-19 did not account for refrainment from various daily activities. Risk factors of elder abuse have been conceptualized in four categories: older person, perpetrator, their relationship, and the environment (Johannesen & Logiudice, 2013). Behavioral restrictions during the pandemic could affect relationship between older adults and caregivers and affect their surrounding environments. The risk of abuse may differ depending on the types of behaviors that are refrained from.
This study examines the association between elder abuse and refrainment from various behaviors in daily life during the COVID-19 pandemic. We used a large, representative dataset of older Japanese adults. We hypothesized that people who refrain from multiple behaviors are more likely to have an increased risk of elder abuse than those who refrain from a single behavior. By examining the relationship between refrainment from daily activities and elder abuse, this study can help prevent an increase in abuse during a future pandemic.
2. Materials and methods
2.1. Selection and description of participants and the setting
We used the cross-sectional data of a self-administered mail survey conducted by the Japan Gerontological Evaluation Study (JAGES) from November 2020 to February 2021 in 11 municipalities. We included questions on elder abuse to determine the frequency of elder abuse and its related factors during the COVID-19 pandemic. JAGES is a large, epidemiological study group of older adults (aged ≥65 years) throughout Japan who are without physical or cognitive disabilities (Kondo, Rosenberg, National Center for Geriatrics, & Gerontology, 2018). We randomly selected and sent questionnaires to 24,613 eligible people. We received responses from 19,928 participants (response rate, 81.0%). We excluded 1655 participants whose sex and age could not be confirmed or who were reported in error. Thus, the analytical population of this study was 18,263.
2.2. Elder abuse during the COVID-19 pandemic
The outcome variable was the presence or absence of elder abuse during the period of Japan's first declaration of a state of emergency (April to May 2020). Elder abuse was measured across three dimensions (physical, psychological, and financial) using a self-reported questionnaire developed in collaboration between researchers, doctors, social epidemiologists, and social workers (Koga, Hanazato, et al., 2020; Koga, Tsuji, et al., 2020). Because a definition of abuse has not been established, it is challenging to clarify criteria for determining what behavior constitutes elder abuse. To ascertain whether or not abuse had occurred, our study asked questions that referred to specific acts or feelings, such as being beaten, having one's self-esteem damaged, or having one's savings or pension taken. Participants were asked, “Please answer about your life during the period of the declaration of a state of emergency due to the outbreak of COVID-19 (April to May 2020). Please check all the boxes that apply to your daily activities.” For physical abuse, participants were asked, “Did you experience physical violence from your family, such as being hit, kicked, having objects thrown at you, or being shut in a room?” Psychological abuse was measured by the following question, “Did you experience an act by your family that harmed your self-esteem, such as verbal abuse, cutting remarks, or being ignored for long periods?” Financial abuse was measured by the question, “Do any of your family members take or use your savings or pension benefits without your consent?” Those who checked one or more of these questions were considered to have experienced abuse; other participants were deemed to not have experienced abuse.
2.3. Refrainment behaviors
The explanatory variables were the presence or absence of a decrease in 10 daily living behaviors and the total number of refrained behaviors (0, 1, 2, 3, or ≥4). Participants were asked, “Please answer about your daily life during the period of the declaration of a state of emergency (April to May 2020) due to the outbreak of COVID-19 infection. Please check all the boxes that apply to the activities that you reduced the frequency of or ceased: 1. Eating out; 2. Shopping for groceries and daily necessities; 3. Shopping for items other than groceries and daily necessities; 4. Exercising indoors, such as at a gym; 5. Exercising or walking outdoors; 6. Interacting with neighbors; 7. Visiting medical institutions (except in cases of suspected COVID-19 infection); 8. Using public transportation; 9. Visiting museums and movie theaters; and 10. Participating in community events. Each choice was recorded as 1, for those who decreased the frequency of the behavior or ceased it, or as 0, for those who did not change their behavior. The total number of refrained behaviors was the sum of refrained behaviors, excluding variables negatively associated with elder abuse. Those who refrained from four or more behaviors were merged into one category. This research is to determine the impact of COVID-19 on their lives and health of older adults ages 65 years and older who are not eligible for long-term care insurance. These options about activities in the daily lives of older adults were developed by the collective effort of researchers from various disciplines. Although the Japanese Government did not implement lockdown of cities or other legally mandated measures, people followed stay-at-home and refrained from their activity primarily by themselves.
2.4. Covariates
In line with former studies that focused on elder abuse, we included basic demographic information, including sex (male or female), age group (65–69, 70–74, 75–79, 80–84, and ≥85 years-old), educational attainment (≤9 or ≥10 years), employment status (never employed, past worker, or current worker), subjective socioeconomic status (poor, average, or rich), marital status (married, widowed, divorced, unmarried, or other), and living arrangements (alone, with family members, or other facilities), and change in income due to COVID-19 (decreased or not decreased) (Dong, Chen, Fulmer, & Simon, 2014; Dong, Simon, & Evans, 2014; Koga, Hanazato, et al., 2020; Koga, Tsuji, et al., 2020). Depressive symptoms were measured using the 15-item Geriatric Depression Scale, which defines mild and severe depression as 5–9 points and >10 points, respectively (Koga, Tsuji, et al., 2020). For measuring independence in activities of daily living, participants were asked, “Do you regularly receive nursing care or assistance for walking, bathing, and/or using a toilet?” Answers were recorded using the following 3-point scale: 1. No need for nursing care or assistance; 2. Requiring but not receiving nursing care or assistance; and 3. Needing and receiving nursing care or assistance.
2.5. Statistical analysis
Descriptive statistics were generated to summarize the characteristics of participants. To investigate the relationship between elder abuse and refrainment from behaviors during the COVID-19 pandemic, we conducted a logistic regression analysis and calculated the odds ratios (OR) and 95% confidence intervals (CI) for the risk of elder abuse, after adjusting for all covariates. We created two models. First, the 10 types of behavioral refrainment were simultaneously investigated in Model 1. In Model 2, the total number of refrained behaviors was added to Model 1. We calculated p for trend when the total number of refrained behaviors was included as a continuous variable. Because some variables in the analysis were missing, multiple imputations were performed. A total of 20 multiple imputed datasets were created, including all measured variables, using a multivariate normal imputation method with a “missing at random” assumption. The estimated parameters were combined using Rubin's combination methods (Rubin, 2004). All statistical analyses were conducted using Stata 16/IC (StataCorp, College Station, TX, USA).
3. Results
3.1. Participants’ characteristics
Table 1 shows the characteristics of study participants. The number of those who experienced abuse during the declared state of emergency was 288 (1.6%). Those who reduced their activities were 12680 (69.5%) for eating out, 3822 (21.0%) for shopping for groceries and daily necessities, 6694 (36.7%) for shopping for items other than groceries and daily necessities, 3875 (21.2%) for exercising indoors, such as at a gym, 2741 (15.0%) for exercising or walking outdoors, 4246 (23.3%) for interacting with neighbors, 3107 (17.0%) for visiting medical institutions (except in cases of suspected COVID-19 infection), 7321 (40.1%) for using public transportation, 7426 (40.7%) for visiting museums and movie theaters, and 5690 (31.2%) for participation in community events).
Table 1.
Characteristics of study participants.
| All | % | Experienced abuse | % | |
|---|---|---|---|---|
| Elder abuse |
18236 |
100.0% |
288 |
1.6% |
| Number of refrained behaviors | ||||
| None | 2625 | 14.4% | 22 | 0.8% |
| One decreased | 2362 | 13.0% | 27 | 1.1% |
| Two decreased | 3023 | 16.6% | 41 | 1.4% |
| Three decreased | 2911 | 16.0% | 47 | 1.6% |
| More than four |
7315 |
40.1% |
151 |
2.1% |
| Eating out | ||||
| Not decreased | 5556 | 30.5% | 93 | 1.7% |
| Decreased |
12680 |
69.5% |
195 |
1.5% |
| Shopping for groceries and daily necessities | ||||
| Not decreased | 14414 | 79.0% | 195 | 1.4% |
| Decreased |
3822 |
21.0% |
93 |
2.4% |
| Shopping for items other than groceries and daily necessities | ||||
| Not decreased | 11542 | 63.3% | 165 | 1.4% |
| Decreased |
6694 |
36.7% |
123 |
1.8% |
| Exercising indoors, such as at a gym | ||||
| Not decreased | 14361 | 78.8% | 209 | 1.5% |
| Decreased |
3875 |
21.2% |
79 |
2.0% |
| Exercising or walking outdoors | ||||
| Not decreased | 15495 | 85.0% | 216 | 1.4% |
| Decreased |
2741 |
15.0% |
72 |
2.6% |
| Interacting with neighbors | ||||
| Not decreased | 13990 | 76.7% | 177 | 1.3% |
| Decreased |
4246 |
23.3% |
111 |
2.6% |
| Visiting medical institutions (except in cases of suspected COVID-19 infection) | ||||
| Not decreased | 15129 | 83.0% | 216 | 1.4% |
| Decreased |
3107 |
17.0% |
72 |
2.3% |
| Using public transportation | ||||
| Not decreased | 10915 | 59.9% | 155 | 1.4% |
| Decreased |
7321 |
40.1% |
133 |
1.8% |
| Visiting museums and movie theaters | ||||
| Not decreased | 10810 | 59.3% | 153 | 1.4% |
| Decreased |
7426 |
40.7% |
135 |
1.8% |
| Participating in community events | ||||
| Not decreased | 12546 | 68.8% | 172 | 1.4% |
| Decreased |
5690 |
31.2% |
116 |
2.0% |
| Sex | ||||
| Male | 8669 | 47.5% | 106 | 1.2% |
| Female |
9567 |
52.5% |
182 |
1.9% |
| Age group | ||||
| 65–59 | 3300 | 18.1% | 54 | 1.6% |
| 70–74 | 5483 | 30.1% | 74 | 1.3% |
| 75–79 | 4438 | 24.3% | 67 | 1.5% |
| 80–84 | 3113 | 17.1% | 59 | 1.9% |
| 85≤ |
1902 |
10.4% |
34 |
1.8% |
| Education | ||||
| ≤9 yrs | 4310 | 23.6% | 90 | 1.5% |
| ≥10 yrs | 13469 | 73.9% | 188 | 1.2% |
| Missing |
457 |
2.5% |
10 |
1.0% |
| Employment status | ||||
| Never | 2083 | 11.4% | 34 | 1.6% |
| Past worker | 10239 | 56.1% | 163 | 1.6% |
| Current worker | 5306 | 29.1% | 81 | 1.5% |
| Missing |
608 |
3.3% |
10 |
1.6% |
| Subjective socioeconomic status | ||||
| Poor | 3982 | 21.8% | 141 | 3.5% |
| Usual | 10759 | 59.0% | 114 | 1.1% |
| Rich | 3228 | 17.7% | 29 | 0.9% |
| Missing |
267 |
1.5% |
4 |
1.5% |
| Marital status | ||||
| Married | 12246 | 67.2% | 180 | 1.5% |
| Widowed | 3589 | 19.7% | 54 | 1.5% |
| Separated | 1029 | 5.6% | 27 | 2.6% |
| Unmarried | 788 | 4.3% | 18 | 2.3% |
| Other | 123 | 0.7% | 5 | 4.1% |
| Missing |
461 |
2.5% |
4 |
0.9% |
| Living arrangement | ||||
| Living alone | 3443 | 18.9% | 66 | 1.9% |
| Living with someone | 14618 | 80.2% | 219 | 1.5% |
| Missing |
175 |
1.0% |
3 |
1.7% |
| Depression | ||||
| Normal | 12607 | 69.1% | 99 | 0.8% |
| Mild depressive | 3626 | 19.9% | 104 | 2.9% |
| Severe depressive | 1214 | 6.7% | 72 | 5.9% |
| Missing |
789 |
4.3% |
13 |
1.6% |
| Change in income due to COVID-19 | ||||
| Decreased | 2213 | 12.1% | 56 | 2.5% |
| Not decreased | 15100 | 82.8% | 215 | 1.4% |
| Missing |
923 |
5.1% |
17 |
1.8% |
| Activity of Daily Living (ADL) | ||||
| Unnecessary | 16263 | 89.2% | 212 | 1.3% |
| Necessary and supported | 942 | 5.2% | 38 | 4.0% |
| Necessary and not supported | 543 | 3.0% | 25 | 4.6% |
| Missing | 488 | 2.7% | 13 | 2.7% |
Not experienced abuse, n = 17,948 (98.4%); Experienced abuse, n = 288 (1.6%).
3.2. Results of logistic regression analysis
Table 2 shows the OR for the associations between elder abuse and behavioral refrainment among older Japanese adults. In Model 1, the risks of abuse were 1.37 times (CI, 1.04–1.81) and 1.60 times (CI, 1.20–2.13) higher, respectively, for those who reduced grocery shopping and interaction with neighbors. than for those who did not. In contrast, those who reduced eating out had a 0.75 times (CI, 0.54–0.96) lower risk of abuse than those who did not. Because the variable eating out was negatively associated with abuse in Model 1, it was excluded from Model 2, along with the total number of refrained behaviors. In Model 2, the risk of abuse was 1.84 times (CI, 1.09–1.82) higher for two reduced behaviors, 2.40 times (CI, 1.31–4.41) higher for three reduced behaviors, and 2.86 times (CI, 1.25–6.54) higher for four or more reduced behaviors, compared with those who had zero reduced behaviors (excluding the eating out variable). When the total number of refrained behaviors was treated as a continuous variable, its p for trend was 0.003. For sensitivity analysis, we included the eating out variable in Model 2, and found a similar result (Supplementary Table).
Table 2.
Odds ratios for the association between elder abuse and behavioral decline among older Japanese adults (n = 18,236).
| Model 1 |
Model 2 |
|||||||
|---|---|---|---|---|---|---|---|---|
| ORs | p | 95% CI | ORs | p | 95% CI | |||
| Number of refrained behavior | ||||||||
| None | 1.00 | |||||||
| One decrease | 1.12 | 0.666 | 0.68 | 1.84 | ||||
| Two decrease | 1.84 | 0.022 | 1.09 | 3.10 | ||||
| Three decrease | 2.40 | 0.005 | 1.31 | 4.41 | ||||
| More than four |
2.86 |
0.013 |
1.25 |
6.54 |
||||
| Eating out | ||||||||
| Not decrease | 1.00 | |||||||
| Decreased |
0.75 |
0.049 |
0.56 |
1.00 |
||||
| Shopping for groceries and daily necessities | ||||||||
| Not decrease | 1.00 | 1.00 | ||||||
| Decreased |
1.37 |
0.027 |
1.04 |
1.81 |
1.16 |
0.319 |
0.86 |
1.57 |
| Shopping for items other than groceries and daily necessities | ||||||||
| Not decrease | 1.00 | 1.00 | ||||||
| Decreased |
0.91 |
0.520 |
0.69 |
1.20 |
0.74 |
0.047 |
0.55 |
1.00 |
| Exercising indoors, such as at a gym | ||||||||
| Not decrease | 1.00 | 1.00 | ||||||
| Decreased |
1.15 |
0.383 |
0.84 |
1.57 |
1.05 |
0.744 |
0.77 |
1.44 |
| Exercising or walking outdoors | ||||||||
| Not decrease | 1.00 | 1.00 | ||||||
| Decreased |
1.16 |
0.327 |
0.86 |
1.57 |
1.01 |
0.952 |
0.74 |
1.38 |
| Interacting with neighbors | ||||||||
| Not decrease | 1.00 | 1.00 | ||||||
| Decreased |
1.60 |
0.001 |
1.20 |
2.13 |
1.35 |
0.052 |
1.00 |
1.82 |
| Visiting medical institutions (except in cases of suspected COVID-19 infection) | ||||||||
| Not decrease | 1.00 | 1.00 | ||||||
| Decreased |
1.22 |
0.171 |
0.92 |
1.64 |
1.06 |
0.696 |
0.78 |
1.44 |
| Using public transportation | ||||||||
| Not decrease | 1.00 | 1.00 | ||||||
| Decreased |
1.11 |
0.455 |
0.84 |
1.46 |
0.89 |
0.425 |
0.66 |
1.19 |
| Visiting museums and movie theaters | ||||||||
| Not decrease | 1.00 | 1.00 | ||||||
| Decreased |
1.23 |
0.208 |
0.89 |
1.70 |
0.96 |
0.802 |
0.68 |
1.35 |
| Participation in community events | ||||||||
| Not decrease | 1.00 | 1.00 | ||||||
| Decreased | 1.16 | 0.366 | 0.84 | 1.60 | 0.99 | 0.934 | 0.71 | 1.37 |
n = 18,236. Model 1 and Model 2 adjusted for age, sex, education attainment, employment status, subjective socioeconomic status, marital status, living arrangement, depression, change in income, and activity of daily living.
4. Discussion/conclusion
This investigation revealed that the risk of elder abuse was higher among those who refrained from shopping for food and daily necessities and from interaction with neighbors. The risk of abuse increased as the number of refrained behaviors increased. Our results demonstrated that refrainment from multiple behaviors might be significantly associated with an increased risk of abuse over that of refrainment from a single behavior. To the best of our knowledge, this is the first study to investigate the association between elder abuse and refrainment from various daily activities during the COVID-19 pandemic.
We found clear associations between abuse and refrainment from shopping for food and daily necessities and from interaction with neighbors. These two activities can be considered the most routinely performed among the explanatory variables. In Japan, there was no substantial restriction on going out, such as a lockdown. However, the government recommended that people avoid places that meet the 3 Cs (closed space, crowded place, and close-contact setting) (Lim et al., 2020). People and communities that faithfully followed the instructions might have had a higher risk of abuse. Restriction of activities, such as shopping and social interaction, could be an indicator of increased risk of abuse. Previous studies have suggested that social support can be a protective factor against elder abuse (Chokkanathan, 2017; Dong & Simon, 2008; Melchiorre et al., 2013). Therefore, proactive contact (e.g., from neighbors) with older adults who are no longer seen in neighborhoods (e.g., at the supermarket) may help prevent abuse.
This study also showed that the risk of elder abuse increased as the number of refrained behaviors increased. Previous studies have reported that abuse occurs most commonly among family members living together (Takasaki et al., 2005). When behaviors in daily life are restricted and the time spent at home is increased, more opportunities arise for conflicts among family members living together, contributing to an increased risk of abuse. Although our findings did not reach significance level for some of the refrained behaviors, their scores indicated a trend toward increasing risk. In other words, they suggested that refrainment from multiple behaviors in daily life could accumulate a substantial risk.
Contrary to our hypothesis, we found that refrainment from eating out was negatively associated with the risk of elder abuse. This finding is consistent with a previous study, which suggested that maintaining physical distance (staying six feet apart from other persons) was associated with a lower risk of abuse during the pandemic (Chang & Levy, 2021). Out of our participants, 69.5% answered that they had reduced the frequency of eating out, which was the most common behavioral refrainment. It is possible that those who reduced eating out also followed social norms and considered social benefits. Such people may tend to have strong social ties, which can mitigate the risk of abuse (Webster et al., 2020).
Based on these results, policy recommendations would be as follows. Increase the home visiting and watching over towards older adults who decrease to go out. Moreover, actively promote the use of appropriate services is important for families who are considered to have a heavy burden of care.
4.1. Strengths and limitations
This study explored the associations between elder abuse and refrainment from various behaviors in daily life during the COVID-19 epidemic. We found the risk of abuse to be differentiated by the type of refrained behavior. We used a large, representative dataset that was collected using rigorous random sampling methods; many earlier studies related to the COVID-19 pandemic have relied on online surveys or convenience sampling. However, several limitations of our study must be mentioned. First, there is a possibility of reverse causality due to the cross-sectional design. Those who experienced abuse may have been restricted in their daily lives by their abusers. Therefore, future longitudinal studies should be conducted. Second, there is a possibility of selection bias, due to nonrespondents. Participants who suffered from severe abuse may not have responded to the questionnaire. It should be noted also that we studied only older adults who were physically and cognitively independent. Despite the fact that physical and cognitive impairments are significant risk factors of abuse, we could not invite such participants (Du & Chen, 2021; Filipska et al., 2021). Third, our study recruited only Japanese participants. Therefore, generalizability to other countries with different pandemic situations and cultures should be verified. Thus, we cannot discuss any differences related to cultural contexts. Fourth, reporting errors in the presence of abuse may have occurred; our questionnaires were self-reported and have not been validated. The observed prevalence of abuse (1.6%) may seem very low, given that a previous meta-analysis estimated the global prevalence to be 15.7% (Yon, Mikton, Gassoumis, & Wilber, 2017). Nonetheless, the rate we observed was reasonable. In 2019 in Japan, 34,057 cases were consulted or reported to municipalities; 16,928 cases were confirmed as elder abuse by caregivers in an older population of approximately 36 million (Ministry of Health Labor and Welfares of Japan, 2019). Despite the above limitations, this study has provided important perspectives regarding the relationship between elder abuse and the reduction of behaviors during the COVID-19 pandemic.
5. Conclusions
The risk of elder abuse was higher among those who refrained from shopping for food and daily necessities and from interaction with neighbors than among those who did not. The risk of abuse increased as the number of refrained behaviors increased. This indicates that refrainment from multiple behaviors may significantly increase the risk of elder abuse above that of refrainment from a single behavior. Because another pandemic is likely to occur in the future, it is necessary to maintain social connections, without face-to-face contact or with adequate infection control measures, to avoid increasing the risk of abuse.
Statement of ethics
This study was reviewed and approved by the ethics committees of Chiba University (3442). The study was conducted in accordance with the principles of the Declaration of Helsinki and its later amendments. All participants provided written informed consent when they returned a questionnaire.
Funding sources
This study used data from Longevity Science Research and Development Project, Japan Agency for Medical Development (AMED) (JP19dk0110034, JP20dk0110034), Social welfare and epidemiological research for planning measures to cope with lifestyle issues caused by socioeconomic disparity at the National Institute for Longevity Sciences (H30-Cardiovascular, etc.-General-004), JSPS (Japan Society for the Promotion of Science) KAKENHI (grant Nos. 20K13721), a JST-OPERA program grant (JPMJOP1831), and costs commissioned by municipalities.
Author contributions
C.K.: conceived the design, analyzed the data, and wrote the first draft of the article. C.K. and K.S.: performed the literature review. T.T., K.S., and K.K.: collected the data. K.K. is the principal.
Declaration of competing interest
The authors have no conflicts of interest to declare.
Acknowledgement
We are extremely grateful to all study participants for the use of their personal data. We would like to express our deepest gratitude to everyone who participated and cooperated in the surveys.
Glossary
- OR
odds ratio
- CI
confidence interval
Footnotes
Supplementary data to this article can be found online at https://doi.org/10.1016/j.ssmph.2022.101229.
Appendix A. Supplementary data
The following is the Supplementary data to this article:
Data availability
Data will be made available on request.
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Data Availability Statement
Data will be made available on request.
