Research Article |
Corresponding author: Marina A. Kartseva ( mkartseva@mail.ru ) © 2023 Non-profit partnership “Voprosy Ekonomiki”.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits to copy and distribute the article for non-commercial purposes, provided that the article is not altered or modified and the original author and source are credited.
Citation:
Kartseva MA, Peresetsky AA (2023) Sandwiched women: Health behavior, health, and life satisfaction. Russian Journal of Economics 9(3): 306-328. https://doi.org/10.32609/j.ruje.9.106825
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This paper studies the impact of sandwich generation caregiving on the health behavior, self-assessed health and life satisfaction of Russian women. It presents evidence that sandwich generation caregiving reduces the likelihood of medical examinations, and regular meals. Alcohol consumption and likelihood of smoking are reduced. The likelihood of obesity increases, the proportion of chronic diseases decreases, and self-assessed health improves. The proportion of depression decreases. These effects may be the result of an inattentive attitude to one’s health and a consciousness of the social significance of fulfilling one’s duty. These effects vary with socio-demographic characteristics.
sandwich generation, sandwich caregiving, female caregivers, health behavior, life satisfaction, informal care
Since the second half of the 20th century, a combination of demographic and socioeconomic trends has resulted in the middle generation often experiencing a double care burden, caring for their children and their parents simultaneously. The key factor in increased caregiving pressure on middle-age adults is the increase in life expectancy, which has led to an increase in the demand for care for the parent generation. Previously, numerous siblings could share the care of elderly parents, now the entire caregiving burden often falls on just one middle-aged child. Another important demographic factor in the increase in the care burden is the rise of marriage and childbearing age (
Thus, middle-aged people are likely to be “caught in the middle,” pressed by the double responsibility to their elderly parents and children. In the literature, this middle generation is called the sandwich generation (
Modern empirical studies on sandwich caregiving are usually based on actual involvement in dual care. An individual is considered as a sandwich generation caregiver (SGC) if she/he provides informal care for two generations. Estimates of the prevalence of multigenerational caregiving vary significantly by country and by the definition of SGC used. According to
SGCs face the great challenge of balancing their lives and multiple care burdens. The impact of a heavy load on SGCs’ health and well-being is widely discussed in the literature. In particular, many researchers address the different aspects of SGCs’ physical and mental health, health behavior and subjective well-being.
In this paper, we examine the effect of sandwich caregiving on the health behavior, self-assessed health and subjective well-being of Russian women.
We found that providing care for two generations negatively influences women’s health behavior. Compared to non-caregivers and other caregivers, SGCs are less likely to undertake regular medical examinations and to have regular meals. The effect is especially pronounced for working women. SGCs are less likely to drink alcohol regularly and they are less likely to smoke. However, we find little evidence of the negative influence of sandwich caregiving on the health of caregivers. On the contrary, our results suggest that SGCs are less likely to have chronic conditions and more likely to be in good health than non-SGCs (the effects are stronger for pensioners). SGCs are also less likely to experience depression. But dual caregiving is negatively correlated with Body mass index (BMI) — SGCs have a higher probability of being overweight. We also found a small positive effect of sandwich caregiving on the life satisfaction of women.
For more detailed analysis we additionally study distributions of estimated marginal effects of dual caregiving on health, health behavior, life satisfaction indicators and show that in most cases this distribution is a mixture of two bell-shaped distributions for two subsamples (i.e., employed and non-employed). Our findings suggest that the effect of sandwich caregiving varies across socio-demographic groups of women.
The well-being of SGCs is widely discussed in the literature. In particular, attention is paid to the effect of multiple caregiving on the emotional and physical health of caregivers and their general life satisfaction. Below is a brief overview of empirical studies that quantitatively analyze the effect of sandwich caregiving on these aspects of well-being of individuals in developed countries. We mainly focus on studies using nationally representative datasets.
Sandwich caregiving may worsen health behavior of caregivers. The constant time pressure, stress, and mental fatigue induced by high caregiving burden could force SGCs to be less focused on their own health.
A number of works are devoted to the analysis of the effect of sandwich caregiving on the current health status of caregivers. In most studies, self-assessed health is used as an indicator of health. Although self-assessed health is not an objective measure of health status, it is an important predictor of morbidity and mortality (
The emotional health of SGCs is of particular interest to researchers. Some studies (
However, not all studies support the hypothesis of the negative impact of multigenerational caregiving on the caregivers’ health. Loomis, Booth (1995) did not find a negative effect of sandwich caregiving on the physical and psycho-emotional health of individuals. The results of
Interestingly, caring for two generations may not negatively impact life satisfaction, the major cognitive component of personal subjective well-being (
Russia is experiencing the same demographic trends as most developed countries — increasing longevity, a higher childbearing age, and a lower birth rate. In 2022, in Russia, the age dependency ratio, defined as the number of children (0–14 years old) and elderly (65 years or older) per 100 population aged 15 to 64 years, was 50, which is somewhat lower than the OECD average (55). Comparable to Russia, the age dependency ratio is observed in countries such as Austria, Hungary, Canada, Spain, Mexico, Norway, Poland, and the U.S. Israel and Japan have the highest age dependency ratio (67 and 71 respectively) (
In Russia, the increase in care burden in the middle generation caused by demographic processes is amplified by the relatively low level of the development of social services, especially the long-term care system. While parents can count on state support in caring for children, although the volume and variety of forms of such support are often criticized (
The underdevelopment of formal care services in Russia is one of the key reasons for the prevalence of informal elderly care. Formal home-based elderly care has a limited variety of forms and limited assistance. Most often, older people receive help only with shopping. Assistance with activities of daily living (washing, cooking, caring for clothes and home) is rarely provided by social services in practice (
The other important factor of informal care prevalence is that in Russia, caring for parents is traditionally considered as the responsibility of children (mainly daughters) (
There is some evidence of the negative impact of kinship care on the health and well-being of caregivers in the Russian literature. For example,
There is limited research on the well-being of sandwich caregivers in Russia. Most studies are based on qualitative sociological research (
To the best of our knowledge, the only attempt to estimate the quantitative effect of sandwich caregiving on the well-being of caregivers in Russia is a study (
Compared to
In the current work, we use the unique nationally representative data from the 25th wave of the Russia Longitudinal Monitoring survey, RLMS-HSE survey for 2016 in Russia. The survey covered approximately 5,000 households with a population of more than 12,500. RLMS-HSE data provide detailed information on the demographic and socio-economic characteristics of individuals and their households. In 2016, the questionnaire for adults, on an ad hoc basis, included questions about the involvement and frequency of individuals in the informal care for adults and children.
We analyze the impact of sandwich caregiving on women, as women are much more likely than men to be the main caregivers for both children and the elderly, especially in Eastern European and Central Asian countries (
We consider a woman as sandwich generation caregiver (SGC) if she provides informal care both for children or grandchildren and for her elderly relatives, or physically or mentally handicapped ones, at least several times a week (for each group). Thus, in our sample, 11.7% of women at the age of 30–60 are SGCs. To analyze the effect of sandwich caregiving on women, we use a set of binary indicators of health behavior, self-assessed health, and life satisfaction, shown in Table
Indicators of health behavior, self-assessed health, and life satisfaction, and their distribution by subsamples.
Indicator | Description | SGCs, % | non-SGCs, % |
Health behavior | |||
Medical check-up | Dummy for getting medical check-up | 12.5 | 21.8 |
Regular meals | Dummy for regular meals | 72.7 | 83.9 |
Alcohol | Dummy for regular alcohol consumption | 1.3 | 2.6 |
Smoking | Dummy for smoking | 12.9 | 18.8 |
Health | |||
Good health | Dummy for self-assessed good health | 46.9 | 31.8 |
Chronic condition | Dummy for presence of at least one chronic condition | 59.8 | 66.1 |
Overweight | Dummy for being overweight | 62.1 | 58.9 |
Depression | Dummy for depression or serious nervous disorder | 10.7 | 13.4 |
Life satisfaction | |||
Satisfied | Dummy for being satisfied with life | 42.4 | 45.9 |
Dissatisfied | Dummy for being dissatisfied with life | 44.0 | 27.5 |
Neutral | Dummy for being neutral | 31.5 | 26.6 |
Descriptive statistics of the socio-demographic characteristics of SGC women and non-SGC women, which we use in our models, are presented in Table
Factor | Description | SGCs | non-SGCs | p-value |
age | Age (years) | 44.4 (9.0) | 45.7 (9.2) | 0.017 |
age2 | Age squared | |||
edu1 | Education. General secondary and less (dummy), % | 20 (40) | 14 (35) | 0.005 |
edu2 | Primary professional (dummy), % | 21 (40) | 22 (42) | 0.689 |
edu3 | Secondary professional (dummy), % | 32 (47) | 29 (45) | 0.275 |
edu4 | Tertiary professional (dummy), % | 28 (45) | 35 (48) | 0.014 |
num_emp | Number of employed members of the household, excluding the respondent | 1.08 (1.08) | 0.92 (0.83) | 0.012 |
num_pens | Number of pensioners in the household, excluding the respondent | 0.97 (0.85) | 0.42 (0.64) | 0.000 |
live70 | Dummy for at least one household member 70+ y.o. | 0.41 (0.49) | 0.10 (0.29) | 0.000 |
num | Number of household members | 4.68 (2.10) | 3.27 (1.62) | 0.000 |
num_ch02 | Number of children aged 0–2 y.o. | 0.060 (0.237) | 0.065 (0.255) | 0.729 |
num_ch36 | Number of children aged 3–6 y.o. | 0.173 (0.395) | 0.126 (0.370) | 0.047 |
num_ch712 | Number of children aged 7–12 y.o. | 0.307 (0.526) | 0.217 (0.474) | 0.004 |
num_ch1317 | Number of children aged 13–17 y.o. | 0.261 (507) | 0.183 (427) | 0.009 |
num_grch02 | Number of grandchildren aged 0–2 y.o. | 0.058 (247) | 0.038 (203) | 0.172 |
num_grch36 | Number of grandchildren aged 3–6 y.o. | 0.062 (254) | 0.042 (234) | 0.188 |
num_grch712 | Number of grandchildren aged 7–12 y.o. | 0.064 (269) | 0.031 (202) | 0.037 |
num_grch1317 | Number of grandchildren aged 13–17 y.o. | 0.011 (125) | 0.011 (109) | 1.000 |
mar | Married (dummy), % | 70 (46) | 68 (47) | 0.477 |
rural | Lives in a rural area (dummy), % | 31 (46) | 25 (43) | 0.023 |
pens_i | Receives a pension (dummy), % | 24 (43) | 30 (46) | 0.029 |
emp_i | Employed (dummy), % | 58 (49) | 68 (46) | 0.000 |
linchh_pp | Per person household income, log | 9.44 (0.55) | 9.67 (0.61) | 0.000 |
Note that the information in the mean values of the socio-demographic characteristics by subgroups is not sufficient to make inferences on the impact on SGCs on the indicators (Table
Consider the age of the respondents as an example of the need to analyze the distribution of a factor, not only its average value. The mean age among SGCs in our sample is 44.4 and 45.7 for non-SGC. The difference is not statistically significant. However, the age structure is significantly different (see Fig.
Kernel density estimates of the age distribution among female SGCs and non-SGCs in our sample.
Source: Compiled by the authors.
Below we demonstrate that the same reasoning is valid for most of the marginal effects of the SGC status on the indicators of health behavior, self-assessed health and life satisfaction — their distribution is far from being normal. Thus, the analysis of only their mean values is non-informative, and it is necessary to consider the distribution of the marginal effects over our sample.
In our paper, we use the logit model to study the impact of sandwich caregiving on the binary factors (indicators) from Table
P (yi = 1 | swi, zi) = Λ(α + β · swi + zi' γ), (1)
where Λ is c.d.f. of the logistic distribution; dummy variable swi = 1 if the individual belongs to the sandwich caregivers; zi is the vector of socio-economic and demographic characteristics of the individual i and her household. Let α̂, β̂, γ̂ be the estimates of the model (1) parameters. In many papers the effect of swi on yi is measured with Odds Ratio:
OR = exp(β̂), (2)
which in our view is not an appropriate measure of the effect.
MEi = P̂(yi = 1 | swi = 1, zi) – P̂(yi = 1 | swi = 0, zi) =
= Λ(α̂ + β̂ + zi' γ̂) – Λ(α̂ + zi' γ̂). (3)
The mean value of the marginal effect MEi = ̲MEi is less sensitive to changes in the model specification than the odds ratio OR. In contrast with OR, MEi is observation-specific, which allows a more detailed study of the effect of swi on yi. As we demonstrate: the mean value of MEi is much less informative compared to the distribution of MEi.
We use a wide set of control factors zi (see the list in Table
Results of logit model (1) estimates over our sample of 2,651 observations are presented in Table
Indicator | 1 | 2 | 3 | 4 | 5 | 6 |
Sample mean _ME | P | Sample st. dev. s (ME) | Pseudo R2 | ß^ | sß ^ | |
Medical check-up | –0.0699 | 0.0037 | 0.0241 | 0.050 | –0.499** | (0.191) |
Regular meals | –0.1010 | 0.0020 | 0.0328 | 0.064 | –0.652*** | (0.157) |
Alcohol | –0.0135 | 0.1940 | 0.0104 | 0.058 | –0.710 | (0.592) |
Smoking | –0.0505 | 0.0343 | 0.0238 | 0.087 | –0.405** | (0.199) |
Good health | 0.1060 | 0.0001 | 0.0276 | 0.113 | 0.524*** | (0.141) |
Chronic condition | –0.0273 | 0.0001 | 0.0071 | 0.099 | –0.136 | (0.139) |
Overweight | 0.0626 | 0.0000 | 0.0138 | 0.105 | 0.306** | (0.147) |
Depression | –0.0075 | 0.0131 | 0.0030 | 0.046 | –0.070 | (0.221) |
Satisfied | 0.0084 | 0.0000 | 0.0011 | 0.064 | 0.037 | (0.136) |
Dissatisfied | –0.0201 | 0.0003 | 0.0055 | 0.071 | –0.112 | (0.163) |
Neutral | 0.0153 | 0.0000 | 0.0015 | 0.009 | 0.077 | (0.143) |
Column 1 presents the sample mean of the estimated marginal effects MEi; column 3 presents the sample standard deviation of these estimates, s (ME). Column 2 presents the value P = 2 · P (Z > (|ME| / s (ME))), (here Z ~ N (0, 1)), that P is a measure of deviation of the mean of ME from 0, calculated using the nonparametric estimates (ME) of the standard deviation under the assumption of the normal distribution of MEi (as shown below this assumption is violated for some indicators). Note that “significance” of mean ME not necessarily corresponds to the statistical significance of the β estimate.
All estimates of the marginal effect, except for alcohol consumption, were significant at the 5% level. Note that the significance of the estimates β̂ and ̲MEi does not necessarily coincide, which is a consequence of the fact that the distribution may be far from normal.
Read the results of Column 1 of Table
5.1.1. Medical check-up
On average, female SGСs are less likely to undergo medical check-ups in comparison with non-SGCs. The mean marginal effect for medical check-up is –6.99 p.p. But in the kernel density plot of the MEi distribution (Fig.
Distribution of MEi for Medical check-up for the whole sample (a) and for employed and non-employed (b).
Source: Compiled by the authors.
We try various factors which could explain this mixture. Visual analysis shows that the best splitting of the distribution is achieved by separating the sample in two subsamples: employed and non-employed. Perhaps the regularity of a medical check-up depends on the employment status of the respondent. In Russia, many firms provide their employees with regular annual medical examinations.
The graphs of the marginal effect distribution for employed and non-employed respondents are shown in Fig.
Obs. | Mean | St. dev. | Min | Max | |
Non-employed | 885 | –0.041 | 0.013 | –0.090 | 0.008 |
Employed | 1766 | –0.084 | 0.014 | –0.123 | –0.024 |
Total | 2651 | –0.070 | 0.024 | –0.123 | –0.008 |
Note that for all observations, the values are negative (the minimum and maximum values are of the same sign). The same is true for other indicators that we discuss below.
Although, to the best of our knowledge, there is no research on the effect of sandwich caregiving on preventive medicine use, there is some evidence on preventive health behavior of caregivers. Some studies find that caregivers are more likely to forget to take prescription medicine or to keep appointments with doctors than non-caregivers (
The sandwich care burden has a significant negative effect on the eating behavior of women. SGCs are significantly less likely to have regular meals than non-SGCs. On average, sandwich caregiving reduces the proportion of respondents who have regular meals by 10.1 p.p. (–11.5 p.p. for the employed and –7.5 p.p. for non-employed).
Plots of the distribution of the marginal effect MEi for the indicator regular meals are presented for the whole sample (Fig.
Distribution of MEi for Regular meals for the whole sample (a) and for employed and non-employed women (b).
Source: Compiled by the authors.
The descriptive statistics for the distribution of the marginal effect for the indicator regular meals separately by subgroups are shown in Table
Obs. | Mean | St. dev. | Min | Max | |
Non-employed | 885 | –0.075 | 0.030 | –0.162 | –0.021 |
Employed | 1766 | –0.115 | 0.026 | –0.162 | –0.034 |
Total | 2651 | –0.101 | 0.033 | –0.162 | –0.021 |
As for medical check-ups, the sandwich caregiving effect is higher for the employed: among SGCs 11.5 p.p. more respondents neglect regular meals. The employed woman is constantly pressed for time and has to sacrifice her lunch break, to do other things, among others — pick up children from kindergarten or school, buy and bring food to her parents.
For the case with the regular meals indicator it is also possible to split the sample by pensioner status (see Table
Employed | Non-employed | Total | |
Pensioner | –0.089 | –0.063 | –0.075 |
Non-pensioner | –0.121 | –0.086 | –0.112 |
Total | –0.115 | –0.075 |
Thus, the largest by absolute value average marginal effect (–12.1% p.p.) is achieved for employed and not receiving pensions, and the smallest for non-employed pensioners (they can allocate their time more flexibly). All four estimates are significant at 5% level.
We found that sandwich caregiving negatively affects the eating behavior of individuals, reducing the regularity of meals. In general, our findings are consistent with
We do not find a substantial effect of sandwich caregiving on alcohol consumption. The effect is negative, with a mean –1.34 p.p. and varies in the range [–1.50; –0.07] p.p. The plot of the ME distribution is presented in Fig.
The plot of the marginal effect distribution is presented in the Fig.
Distribution of MEi for Smoke for the whole sample (a) and for the age groups < 50 and ≥ 50 (b).
Source: Compiled by the authors.
This outcome is contrary to that of
The difference in the results could be explained by using different indicators of smoking.
The low probability of smoking among SGCs could be also explained by their wanting to protect the dependents from second-hand smoking.
5.2.1. Good health
We found a positive effect of sandwich caregiving on the self-assessed health of individuals. The mean marginal effect of sandwich caregiving on the self-assessed health is 10.6 p.p., varying in the range [0.5; 13.0] p.p. The density plot of this marginal effect is two-mode (Fig.
Distribution of MEi for Good health for the whole sample (a) and for pensioners and non-pensioners (b).
Source: Compiled by the authors.
Obs. | Mean | St. dev. | Min | Max | |
Non-pensioners | 1870 | 0.121 | 0.011 | 0.040 | 0.130 |
Pensioners | 781 | 0.068 | 0.018 | 0.005 | 0.130 |
Total | 2651 | 0.106 | 0.028 | 0.005 | 0.130 |
Thus, we found that sandwich caregiving is positively correlated with the self-assessed health of individuals. This finding is contrary to previous studies which have suggested sandwich care has a negative or no effect on self-assessed health. This inconsistency may be due to self-selection. Women with poor health are less likely to be SGCs. Another possible explanation is that kinship care is highly recognized in Russia. SGCs have a sense of accomplishment and receive social recognition. Through caring for relatives SGCs could get satisfaction from strengthening connections in the family. The positive moral aspects of care could have a positive impact on the perception of life in general and the perception of one’s own health in particular. In our view, however, conclusions about the positive effect of sandwich caregiving on women’s health must be treated with caution. As we showed above, sandwich caregiving significantly negatively influences health behavior (reducing preventive care and the regularity of meals) that could result in worsening of SGCs’ health in the future. For example,
Surprisingly, the effect of sandwich caregiving on the presence of chronic conditions is negative (mean ME = –2.7 p.p.). Most likely, there is reverse causality here — people with chronic diseases simply do not have the strength to take care of two generations. Again, we have a two-mode distribution (Fig.
Distribution of MEi for Chronic condition for the whole sample (a) and for pensioners and non-pensioners (b).
Source: Compiled by the authors.
Obs. | Mean | St. dev. | min | max | |
Non-pensioners | 1870 | –0.032 | 0.003 | –0.034 | –0.018 |
Pensioners | 781 | –0.017 | 0.004 | –0.033 | –0.006 |
Total | 2651 | –0.027 | 0.007 | –0.034 | –0.006 |
Thus in general SGCs are less likely to experience chronic conditions. A possible explanation is that chronic disease in SGCs is not less frequent but undiagnosed, due to the fact that they pay less attention to their own health in caring for two generations. In particular, as shown above, they are less likely to see a doctor for medical check-ups. Our outcome is contrary to that of
Being overweight (measured as BMI > 25) can be considered as one of the indicators of health, and as a consequence of a decrease in attention to their own health behavior. Descriptive statistics of MEi for chronic condition are presented in Table
Obs. | Mean | St. dev. | Min | Max | |
Non-pensioners | 1870 | 0.068 | 0.009 | 0.015 | 0.076 |
Pensioners | 781 | 0.048 | 0.013 | 0.013 | 0.076 |
Total | 2651 | 0.062 | 0.014 | 0.013 | 0.076 |
This difference could be partially explained by the initial state — the average age of pensioners is higher, and by this age many women are already overweight. In our sample, 48.4% of women under 50 years are overweight and 76.9% of women aged 50 or over. Corresponding ME density plots are presented at Fig.
Distribution of MEi for Overweight for the whole sample (a) and for pensioners and non-pensioners (b).
Source: Compiled by the authors.
To the best of our knowledge there are no studies of the effect of sandwich caregiving on BMI for women. A strong relationship between adult caregiving and overweight/obesity has been reported in the literature for adult caregivers (
The effect of sandwich caregiving on depression in our data is negative but not pronounced. The average ME is –0.75 p.p. varying in the range [–1.8; –0.04] p.p. The density plot of the marginal effect is close to normal (Fig.
With age, the absolute magnitude of the effect slightly increases. Fig.
How does sandwich caregiving affect life satisfaction? The answers are divided into 3 categories according to the results of the answer to the question “How satisfied are you with your life in general at the present time?” (see Table
An interesting effect is observed: sandwich caregiving has a positive effect on the “satisfied” response (mean ME = 0.84 p.p.) and on “neutral” (mean ME = 1.53 p.p.) but negative on “dissatisfied” (mean ME = –2.01 p.p.). Thus, on average, satisfaction with life slightly increases. Kernel density estimates of the density of the marginal effect of sandwich caregiving on these three categories are presented in Fig.
Density of MEi on Satisfied (a), and Dissatisfied and Neutral (b).
Source: Compiled by the authors.
Descriptive statistics of MEi for the gradation of life satisfaction (%).
Mean | St. dev. | Min | Max | |
Satisfied | 0.84 | 0.11 | 0.05 | 0.92 |
Dissatisfied | –2.01 | 0.56 | –2.81 | –0.26 |
Neutral | 1.53 | 0.15 | 0.95 | 1.93 |
These results reflect those of
In the current study we test if sandwich caregiving is associated with the health behavior, physical and emotional health and life satisfaction of Russian women using nationally representative data of the 25th wave of Russia Longitudinal Monitoring Survey (RLMS-HSE). Our results are mixed — sandwich caregiving negatively affects some aspects of women’s health, health behavior and well-being while it has no effect or even positive effect for other aspects.
SGCs are less likely to get medical check-ups (ME = –7.0 p.p.) and have regular meals (ME = –10.1 p.p.). It is plausible that those who care for two generations are overtaxed with care responsibilities, experience constant time pressure and are less likely to take care of themselves and their health. The effects are more pronounced for employed than for unemployed females (ME = –8.4 p.p. and ME = –11.5 p.p. respectively). These findings should not be surprising given that, in comparison with non-employed SGCs, employed SGCs are particularly overwhelmed — along with care responsibilities they have job obligations.
Sandwich caregiving could reduce risks of some negative health behaviors, however. We found that regular alcohol consumption and smoking are less prevalent among SGCs than among non-SGCs (ME = –1.3 p.p. and ME = –5.0 p.p. respectively). A possible explanation is that SGCs tend to reduce their own risky behaviors in order to preserve not only their own health, but the health of those they are caring for (for example, to protect them from second-hand smoking).
Our results provide some evidence of a negative effect of sandwich caregiving on women’s health. In particular, caring for two generations simultaneously is strongly associated with a higher probability of being overweight (ME = 6.2 p.p.). This finding corresponds with our conclusions on the health behaviors of SGCs. As shown above, SGCs are less likely to have healthy eating behaviors and this could negatively influence their weight. The damaging effect of being overweight for SGCs is less pronounced for pensioners (ME = 4.8 p.p.). This could be partially attributed to the base effect. On average, pensioners are older than non-pensioners, and the proportion of overweight women significantly increases with age in Russia. We did not find a negative effect of sandwich caregiving on the other considered health indicators.
Furthermore, our results have shown that SGCs are more likely to have good health (ME = 10.6 p.p, 12.1 p.p. for non-pensioners), less likely to have chronic conditions (ME = –2.7 p.p., 3.2 p.p. for non-pensioners), and less experience of depression, although the effect diminishes with age (ME = –0.9 p.p.). The beneficial effects of sandwich caregiving on health can be partially attributed to the fact that SGCs tend to pay less attention to their own health and their health problems could be underdiagnosed, especially if SGCs are employed. Also there could be a self-selection effect: if there are several siblings, then the one with the worst health is less likely to care for elderly relatives. Additionally, caring for relatives may have positive emotional and psychological effects on caregivers (social recognition, strengthening intergenerational ties, and a sense of accomplishment). These effects could be positively correlated with the self-assessed physical and emotional health status of SGCs. Although our results suggest that the effect of sandwich caregiving on women’s current health status is mixed (mostly positive), the dual care burden could damage their health in the future as it negatively affects women’s current health behaviors.
With respect to subjective well-being, we have found a positive impact of sandwich caregiving on life satisfaction of women: among SGCs the share of those satisfied with life is higher (ME = +0.8 p.p.) and the share of those dissatisfied with life is lower than among non-SGCs (ME = –2.0 p.p.). Similarly, the positive effect of sandwich caregiving on women’s life satisfaction could be associated with positive emotional and psychological effects of caregiving.
Thus, the results of our study provide some evidence for the negative effect of sandwich caregiving on health and health behavior of women in Russia. Due to demographic trends, the demand for informal care for elderly relatives in Russia is expected to grow in the future. This will lead to an increase in the care burden on middle-aged children, especially daughters, and consequently to an increase in the share of female SGCs in society. The problems of middle-age women’s health related to high levels of caregiving burdens are going to be more and more pronounced and could be considered as a risk to public health.
Currently, Russian social policy provides relatively little help for SGCs. There is no doubt that people experiencing excessive family care burdens are in dire need of comprehensive social support. One of the key areas of such support is the social policy for families with children. In particular, it is necessary to expand the forms and increase the flexibility of formal childcare services. SGCs are in need of elderly care support as well. At present, in Russia, social support for caregivers for the elderly and disabled is very limited. It is necessary to develop and implement an effective long-term care system that combines various types of formal care services, as well as specialized support measures for informal caregivers (measures aimed at maintaining employment, social benefits for caregivers, training in care skills, psychological support, counseling support).
This study makes a contribution to the caregiving literature, as little is known about the health and well-being of the sandwich generation in Russia. Using nationally representative microdata allowed us to conduct a quantitative study and formulate conclusions on the national level. We consider a wide range of indicators of health and well-being, thus providing an overview of the situation of SGCs. Additionally, we analyze the effect of sandwich caregiving on health behavior, continuing and extending the research (
The study has several limitations. The effect of informal caregiving on health could vary with care intensity. The more intensive the care, the larger the negative effect on the health and well-being of the caregiver (
Marina Kartseva prepared the paper in the framework of a research grant funded by the Ministry of Science and Higher Education of the Russian Federation (grant ID: 075-15-2022-326).
Outcome | Description from the survey questionnaire |
Health | |
Good health | Self-assessed general health (5-point scale): very bad, bad, average, good, very good. Dummy for self-assessed good health equals 1 if self-assessed health is very good or good. |
Chronic condition | Self-assessed presence of at least one chronic condition from the list of 18 kinds of chronic illnesses (self-assessed). |
Overweight | From the self-assessed height and weight the body mass index (BMI) was calculated, Dummy for being overweight equals 1 if BMI is 25 and above. |
Depression | Dummy for depression or serious nervous disorder. Equals 1 if an individual had depression or serious nervous disorder in the 12 months preceding the survey. |
Health behavior | |
Medical check-up | Dummy for getting a medical check-up. Equals 1 if an individual has seen a doctor for a medical check-up in the 3 months preceding the survey. |
Regular meal | Equals 1 if an individual agrees or mostly agrees with the statement that she “always has meals regularly but no more than 3 times a day.” |
Smoking | Equals 1 if an individual smokes. |
Alcohol | Dummy for the regular alcohol consumption, equals 1 if an individual consumed alcoholic beverages at least 2–3 times a week in the 30 days preceding the survey. |
Well-being | Self-assessed life satisfaction with her life in general at the time of the survey. (5-point scale): (1) not at all satisfied, (2) less than satisfied, (3) both yes and no, (4) rather satisfied, (5) fully satisfied. |
Satisfied | Equals 1 if self-assessed life satisfaction is (1) or (2). |
Dissatisfied | Equals 1 if self-assessed life satisfaction is (4) or (5). |
Neutral | Equals 1 if self-assessed life satisfaction is (3). |