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. 2023 Jul 4;9:23337214231185912. doi: 10.1177/23337214231185912

Mind-Body Practice and Family Caregivers’ Subjective Well-Being: Findings From the Midlife in the United States (MIDUS) Study

Kallol Kumar Bhattacharyya 1,, Yin Liu 1, Neha P Gothe 2,3, Elizabeth B Fauth 1
PMCID: PMC10331065  PMID: 37435003

Abstract

Objectives: Informal caregiving has been associated with higher stress and lower levels of subjective well-being. Mind-body practices including yoga, tai chi, and Pilates also incorporate stress reducing activities. The current study aimed to examine the association between mind-body practice and subjective well-being among informal family caregivers. Methods: A sample of informal caregivers were identified in the Midlife in the United States study (N = 506, M ± SDage = 56 ± 11, 67% women). We coded mind-body practice into three categories, including regular practice (participating in one or more of them “a lot” or “often”), irregular (participating “sometimes” and “rarely”) and no practice (“never”). Subjective well-being was measured using the 5-item global life satisfaction scale and the 9-item mindfulness scale. We used multiple linear regression models to examine associations between mind-body practice and caregivers’ subjective well-being, controlling for covariates of sociodemographic factors, health, functional status, and caregiving characteristics. Results: Regular practice was associated with both better mindfulness-related well-being (b = 2.26, p < .05) and better life satisfaction (b = 0.43, p < .05), after controlling for covariates. Discussion: Future research should examine whether there is a selection effect of caregivers with higher well-being being more likely to choose these activities, and/or if mind-body practices are effective non-pharmacological interventions to improve family caregivers’ quality of life.

Keywords: MIDUS, mind-body practice, informal caregiver, well-being, quality of life

Introduction

With the advancements in medical management, more people live longer with chronic illnesses and disabilities. For most community-living older adults, families often are the primary source of care and support, contributing services that would cost enormous monetary expenses annually if they had to be purchased (Hazzan et al., 2022; Langa et al., 2001). Caregivers are considered essential national healthcare resources (Cheng et al., 2020; Schulz & Sherwood, 2008), and their quality of life is related to the quality of care and quality of life of the care recipients (Shani et al., 2021).

Being an informal caregiver, however, can be stressful (Cheng et al., 2020; Collins & Kishita, 2019; Schmaderer et al., 2020; Schulz & Sherwood, 2008). The stress process model (Pearlin et al., 1990) provides an appropriate theoretical approach to incorporate the role of multidimensional social factors (e.g., age, sex, socioeconomic status) as well as caregiving characteristics to health outcomes among caregivers (Judge et al., 2010), along with the physical and psychological strain on the caregivers over time, care-related burden can produce secondary stress in other aspects of life, such as work and family relationships (Schulz & Sherwood, 2008). Further, caregiving can negatively impact the quality of life of the caregivers, resulting in poor sleep, fatigue, isolation, and depression (Pinquart & Sörensen, 2007; Shani et al., 2021). In sum, chronic stress from caregiving can lead to poorer physical, psychological, social, and spiritual well-being (Cohen et al., 2021; Shani et al., 2021), as well as poorer life satisfaction (Karataş et al., 2021).

Life satisfaction is defined as the cognitive and affective evaluations of one’s own life (Diener et al., 2002). Life satisfaction can be achieved through social support and relationship with others (Matud et al., 2014), through happiness, hope, and meaning in life (Karataş et al., 2021; Nasiri & Bahram, 2008), as well as through psychological and physical health practices (Karataş et al., 2021). In this context, promoting caregiver well-being could potentially improve their overall quality of life, including their physical and mental health status.

Mindfulness is a conscious perception of the present moment without judgment and biases; social mindfulness needs cooperation with being thoughtful to others (Van Doesum et al., 2021). The subjective “perception” of mindfulness is a complex process and involves an enhanced state of engagement with the environment and being meaningful in the present (Langer & Moldoveanu, 2000). Research has identified mindfulness as an adaptive coping strategy, and mindful individuals achieve a higher state of well-being, possibly due to judging situations in non-threatening ways (Sesker et al., 2016). With its relation to potential solutions to many social problems, mindfulness can provide better well-being (Hepburn et al., 2021; Rosini et al., 2017).

Mind-body practices generally consist of both physical movement and meditative components of varying nature (Bhattacharyya et al., 2021). The most commonly used mind-body practice is yoga, which is an ancient Indian technique of mind-body interrelated practice that includes physical movement (asanas), breathing exercises (pranayama), and meditation (dhyana) (Cramer et al., 2019; Hariprasad et al., 2013; Uebelacker et al., 2017). Tai chi is a form of Chinese martial art originally practiced for defense training; however, this also has some meditative health benefits (Abbott & Lavretsky, 2013; Jahnke et al., 2010; Tsang et al., 2019). Pilates is another widely used method of movement therapy that consists of low-impact training on flexibility, muscular strength, and endurance (Fleming & Herring, 2018; Kloubec, 2011; Lim & Park, 2019). Recently, mind-body practices have gained popularity in the United States; for example, the age-adjusted rate of yoga practice increased from 9.5 to 14.3% between 2012 and 2017 (4.1–14.2% for meditation) (Clarke et al., 2018; Wang et al., 2019). Previous research demonstrated that mind-body practices could be potentially used as a safe, acceptable, and cost-effective intervention to improve various comorbidities, including chronic diseases and cognitive decline (Rocha et al., 2012).

Mind-body practices have been found to be associated with increased physical activity, reduced stress, and increased well-being (Maric et al., 2021; Rocha et al., 2012). Negative effects of stress on cognitive function are well-documented (Marin et al., 2011; Scott et al., 2015). During stress, an individual’s sympathetic nervous system is triggered; as a result, various inflammatory neurotransmitters like cytokines are released, which may have adverse effects on (cognitive) health. Mind-body practices have a down regulatory effect on the sympathetic nervous system and hypothalamus-pituitary-adrenal axis in response to stress (Bhattacharyya et al., 2022; Hariprasad et al., 2013; Ross & Thomas, 2010). Bridging the mind and body, mind-body practices through various neuronal circuits may reduce the production of inflammatory neurotransmitters (Ross & Thomas, 2010; Ulrich-Lai & Herman, 2009). Individuals may turn to mind-body practice (e.g., yoga) for these stress-reducing effects. As a physical activity, the practice of yoga can enhance muscle strength and body flexibility and improve respiratory and cardiovascular function (Woodyard, 2011).

The Current Study

The current study examined how mind-body practices, including yoga, tai chi, and Pilates, are associated with subjective well-being in middle-aged and older adult informal caregivers who self-reported informal caregiving in the past 12 months. In the current study, subjective well-being was assessed using both a mindfulness-specific component of wellbeing, and a more global measure of life satisfaction. We sampled from a nationally representative sample of middle-aged and older adults in the United States, and considered sociodemographic and health factors and caregiving characteristics that are commonly correlated with subjective well-being as covariates, including caregiving hours, relationship types, co-residence, experienced or new caregivers, and whether the care was still ongoing. We hypothesized that more frequent engagement in mind-body practices would be associated with greater mindfulness-wellbeing and life satisfaction among informal family caregivers.

Method

The Sample

The current study used data from the second wave of the national survey of Midlife in the United States (MIDUS). The MIDUS 2 study was conducted between 2004 and 2005, with 4,963 participants (Hughes et al., 2018). In MIDUS 2, participants’ age ranged from 35 to 86 years (M = 55, SD = 11), with women making up 53% of the sample (Ryff et al., 2012). We identified 506 family caregivers who had given personal care to a family member or friend in the last 12 months because of specific conditions, illness, or disability that caused the need for personal care. MIDUS 2 was conducted over the phone, along with a mailed self-administered questionnaire (SAQ).

Measures and Procedure

Key independent variable

The mind-body practice was used as the key independent variable. Participants responded to the question “In the past 12 months, either to treat a physical health problem, to treat an emotional or personal problem, to maintain or enhance your wellness, or to prevent the onset of illness, how often did you use—exercise or movement therapy (yoga, pilates, tai chi, etc.)?” on a 5-point Likert scale ranging from 1 (performing “a lot”) to 5 (“never”). Responses were reverse coded with higher values indicating more frequent mind-body practice (i.e., “a lot” = 4, “often” = 3, “sometimes” = 2, and “rarely” = 1); responses indicating no practice (i.e., “never”) were coded as 0. We further combined the responses indicating mind-body practice frequency into three categories as regular practice (2, i.e., “a lot” and “often”), irregular practice (1, i.e., “sometimes” and “rarely”), and never (0, i.e., “never”) based on distribution of the raw variable.

Key dependent variables

Mindfulness-wellbeing was assessed using a 9-item scale in the SAQ. Some sample questions included “Because of your religion or spirituality, do you try to be . . .”: “more engaged in the present moment,” “more sensitive to the feelings of others,” “more receptive to new ideas,” “a better listener,” “a more patient person,” “more aware of small changes in my environment,” “more tolerant of differences,” “more aware of different ways to solve problems,” and “more likely to perceive things in new ways” (Sesker et al., 2016). The responses ranged from 1 (strongly agree) to 5 (strongly disagree); then, we recoded a composite score based on the sum of the values of the items and was reverse-coded with higher scores reflecting higher standing. Scores were not calculated for cases with fewer than half of the items missing on the scale. We emphasize that this scale focuses on internal perceptions of psychosocial wellbeing, not behavioral practices of mindfulness (which would be captured in the independent variable of mind-body practice).

A second outcome was global life satisfaction, assessed via a 5-item scale in the SAQ, where participants rated their life overall, work, health, relationship with spouse/partner, and relationship with children (Prenda & Lachman, 2001). Responses were coded from 0 (the worst possible) to 10 (the best possible). The scores for relationship with spouse/partner and relationship with children were averaged to create one score, and was used along with the remaining 3 items to calculate an overall mean score coded with higher scores reflecting better overall life satisfaction. MIDUS computed the scale for cases that have valid values for at least 1 item on the scale; the scale score is not calculated for cases with no valid item for the scales.

Covariates

We considered the following sociodemographic variables, including age (0 = <45, 1 = 45–54, 2 = 55–64, 3 = 65–74, 4 = ≥75), gender (0 = male, 1 = female), race (1 = White, 2 = Black, 3 = other), marital status (1 = married, 2 = separated/divorced, 3 = widowed, 4 = never married), education (1 = no/some school, 2 = high school graduate/in college, 3 = graduated from college, 4 = having master’s/professional degree), and employment (1 = currently working, 2 = self-employed, 3 = retired, 4 = unemployed, 5 = other). We considered caregivers’ chronic condition/s in the past 12 months (0 = no, 1 = yes) and tobacco and alcohol use (1 = regular tobacco/alcohol user, or 0 = not).

We considered the following variables on caregiving characteristics. These are care recipient relationship type (1 = spouses, 2 = children, 3 = parents, and 4 = others), caregiving time (0 = <10 hours per week, 1 = 10–40 hours per week, 2 = >40 hours per week), whether one was still providing care (0 = no, 1 = yes), whether one was co-residing with the care recipient (0 = no, 1 = yes), whether one provided care before (0 = no, 1 = yes), and whether one assisted care with activities and instrumental activities of daily living (ADL/IADL; 0 = no, 1 = yes). For the ADL/IADL assistance, participants were asked to indicate whether they assisted in any of the following care tasks: i) bathing, dressing, eating, or going to the bathroom, ii) getting around inside/outside the house, iii) shopping, cooking, housework, or laundry, and iv) managing money, making phone calls, and taking medications; responses indicating assisted in one or more care tasks were coded as 1 (no ADL/IADL assistance = 0).

Statistical Analysis

Statistical analyses were conducted in Stata 17.0 SE (College Station, TX) software. To examine the association between mind-body practice frequency and indicators of subjective well-being among informal caregivers, we estimated multiple linear regression models by predicting subjective life satisfaction and mindfulness at wave 2 (dependent variables) in separate models, while controlling for covariates (sociodemographic factors, health, and caregiving characteristics). Statistical significance was evaluated at p < .05 (two-sided). Unstandardized regression coefficients (b) and 95% confidence intervals (CI) were reported.

Results

Descriptive statistics of the dependent and independent variables, including demographic variables and health status at wave 2, are shown in Table 1. A total of 506 individuals aged 35 to 84 years (M = 56.5, SD = 11.3) were included in the analysis. Women made up 67% of the sample, 46% were employed, and 89% were White. The respondents’ educational levels were high, with 47% having graduated from college/some college and 15% having a master’s or professional degree. Table 1 also shows differences between those who used mind-body practices (in various frequencies) versus those who did not use. The mind-body practices were more common among younger individuals, women, married, and those with higher education.

Table 1.

Comparison of Respondent Characteristics of US Adults in Wave 2 (n = 506).

Variables Overall status (n = 506) Based on MBP
Regular MBP (n = 42; 8.3%) Irregular MBP (n = 57; 11.3%) No MBP (n = 407; 80.4%) p-Value
Age in year mean (SD) 56.5 (11.3) 55.7 (11.2) 55.8 (11.1) 56.6 (11.3) .277
 <45 16.4 19.0 17.5 16.0
 45–54 28.1 23.8 24.6 29.0
 55–64 30.2 35.7 35.1 29.0
 65–74 18.2 16.7 19.3 18.2
 ≥75 7.1 4.8 3.5 7.8
Sex <.05
 Men 32.6 11.9 21.1 36.4
 Women 67.4 88.1 78.9 63.6
Race/ethnicity .130
 White 89.5 100 84.2 89.2
 Black 4.4 0.0 5.3 4.7
 Others 6.1 0.0 10.5 6.1
Marital status <.05
 Married 67.8 50.0 66.7 69.8
 Separated/divorced 14.6 23.8 24.5 12.3
 Widowed 9.3 11.9 0.0 10.3
 Unmarried 8.3 14.3 8.8 7.6
Education .323
 No/some school 6.9 4.7 0.0 8.1
 Graduated from school/in college 46.5 42.9 50.9 46.3
 Graduated from college 31.1 35.7 36.8 29.8
 Master’s/professional degree 15.4 16.7 12.3 15.8
Employment .385
 Working 46.1 38.1 52.6 46.1
 Self-employed 12.3 16.7 15.8 11.3
 Retired 3.8 4.8 3.5 3.7
 Unemployed 26.1 21.4 24.6 26.8
 Other 11.7 19.0 3.5 12.1
Tobacco-user .079
 Yes 16.4 4.8 14.0 17.9
 No 83.6 95.2 86.0 82.1
Alcohol-user .897
 Yes 56.1 59.5 56.1 55.8
 No 43.9 40.5 43.9 44.2
Had chronic condition/s .948
 Yes 84.0 85.7 84.2 83.8
 No 16.0 14.3 15.8 16.2
Care time .932
 <10 hours per week 33.9 30.8 33.3 34.3
 10–40 hours per week 49.9 56.4 49.1 49.3
 >40 hours per week 16.2 12.8 17.6 16.4
Caring for .069
 Spouse 18.8 19.1 14.0 19.5
 Children 12.2 9.5 14.0 12.3
 Parents 34.5 54.7 29.8 33.0
 Others 34.5 16.7 42.2 35.2
Still giving care .764
 Yes 56.9 57.1 61.4 56.3
 No 43.1 42.9 38.6 43.7
Co-resided with care recipients .315
 Yes 48.2 40.5 42.1 49.9
 No 51.8 59.5 57.9 50.1
Provided care before .076
 Yes 37.8 50.0 45.6 35.4
 No 62.2 50.0 54.4 64.6
Care assistance with ADL/IADL .498
 Yes 95.6 97.6 93 95.8
 No 4.4 2.4 7.0 4.2
Life satisfaction score mean (SD) 7.6 (1.3) 7.9 (1.2) 7.7 (1.1) 7.6 (1.3) .946
Mindfulness score mean (SD) 35.0 (5.8) 37.3 (5.6) 36.3 (6.4) 34.6 (5.7) .334

Note. All values are in column percentage, unless otherwise specified. MBP = mind-body practice; SD = standard deviation.

Significant p-values bolded.

Table 2 shows the results of multiple linear regression models estimating the associations of various frequencies of mind-body practices on family caregivers’ subjective well-being in the domains of life satisfaction and mindfulness, respectively. After controlling for sociodemographic factors, health, and caregiving characteristics, regular engagement in mind-body practices was independently associated with better life satisfaction (b = 0.434, 95% CI: [0.041, 0.828], p < .05) and mindfulness-wellbeing (b = 2.266, 95% CI: [0.342, 4.150], p < .05). However, the effect was not significant for lower frequency of mind-body practice on either subjective life satisfaction or mindfulness-wellbeing. We also conducted a follow-up analysis including care assistance with ADL/IADL and chronic health conditions as sum score. The analyses yielded the similar findings (see Supplemental Table 1).

Table 2.

Multiple Linear Regression Model (Full Model) to Estimate the Association of Mind-Body Practice and Family Caregivers’ Subjective Wellbeing (Life Satisfaction and Mindfulness) (n = 506).

Variables in wave 2 Life satisfaction (wave 2) Mindfulness (wave 2)
b p-Value 95% CI b p-Value 95% CI
Intercept 6.310 .001 ** (5.364, 7.256) 34.208 .001 ** [29.682, 38.735]
Key independent variable
 Mind-body practice (ref. never)
  Irregular 0.116 .505 (−0.225, 0.456) 1.167 .160 [−0.461, 2.795]
  Regular 0.434 .031 * (0.041, 0.828) 2.266 .018 * [0.382, 4.150]
Covariates at W2
 Age (ref. <45)
  45–54 0.223 .179 (−0.103, 0.548) 0.717 .366 [−0.839, 2.273]
  55–64 0.447 .009 ** (0.114, 0.780) 1.161 .153 [−0.432, 2.754]
  65–74 0.570 .009 ** (0.144, 0.996) 2.876 .006 ** [0.838, 4.913]
  ≥75 0.597 .037 * (0.035, 1.159) 2.496 .069 [−0.191, 5.183]
  Female 0.050 .703 (−0.208, 0.308) 2.186 .001 ** [0.953, 3.419]
 Race/ethnicity (ref. other)
  White 0.056 .805 (−0.388, 0.500) −0.244 .822 [−2.368, 1.880]
  Black 0.286 .399 (−0.380, 0.952) 2.016 .214 [−1.169, 5.201]
 Marital status (ref. never married)
  Married 0.532 .009 ** (0.133, 0.931) −1.751 .072 [−3.660, 0.159]
  Separated/divorced −0.032 .891 (−0.495, 0.430) −1.478 .190 [−3.690, 0.734]
  Widowed 0.465 .083 (−0.060, 0.991) −1.703 .184 [−4.217, 0.812]
 Education (ref. no/some school)
  Graduated from school 0.651 .003 ** (0.219, 1.084) 0.175 .868 [−1.893, 2.244]
  Graduated from college 0.715 .002 ** (0.264, 1.165) −0.213 .846 [−2.367, 1.941]
  Master’s/prof. degree 1.018 <.001 *** (0.526, 1.511) 0.435 .717 [−1.919, 2.788]
 Employment (ref. other)
  Working 0.570 .002 ** (0.215, 0.925) −0.236 .785 [−1.933, 1.462]
  Self-employed 0.642 .004 ** (0.203, 1.081) 0.973 .363 [−1.129, 3.075]
  Retired 0.584 .007 ** (0.159, 1.009) −1.308 .207 [−3.339, 0.724]
  Unemployed −0.443 .168 (−1.072, 0.187) 1.071 .485 [−1.940, 4.081]
Tobacco user −0.211 .168 (−0.511, 0.089) 0.875 .232 [−0.561, 2.311]
Alcohol user 0.032 .779 (−0.190, 0.253) −0.599 .268 [−1.659, 0.461]
Have chronic conditions −0.550 .001 *** (−0.841, −0.260) 0.563 .426 [−0.827, 1.953]
 Care time (ref. <10 hours per week)
  10–40 hours per week 0.062 .603 (−0.171, 0.295) 0.031 .956 [−1.083, 1.145]
  >40 hours per week 0.349 .043 * (0.011, 0.687) 1.097 .183 [−0.520, 2.714]
 Caring for (ref. other)
  Spouse 0.070 .707 (−0.295, 0.434) 0.218 .806 [−1.526, 1.961]
  Children −0.065 .734 (−0.440, 0.310) 1.512 .098 [−0.280, 3.304]
  Parents 0.137 .304 (−0.125, 0.399) −0.104 .870 [−1.358, 1.150]
Still giving care −0.164 .154 (−0.390, 0.062) 0.499 .365 [−0.582, 1.581]
Co-resided care recipient −0.243 .061 (−0.497, 0.011) −0.753 .224 [−1.968, 0.462]
Provided care before −0.151 .195 (−0.380, 0.078) −0.097 .862 [−1.190, 0.997]
Assist with ADL/IADL −0.133 .618 (−0.657, 0.391) −0.937 .463 [−3.441, 1.568]
R 2 0.223 0.125
Adjusted R2 0.172 0.067

Note. b = unstandardized regression coefficient; CI = confidence interval.

*

p < .05. **p < .01. ***p < .001.

Significant p-values bolded.

Discussion

The current study evaluated associations between frequency of engagement in mind-body practices and levels of subjective well-being, that is, mindfulness-wellbeing and global life satisfaction in middle-aged and older adult informal caregivers in the United States. The results suggested that regular participation in mind-body practices was associated with higher levels of life satisfaction and mindfulness-wellbeing, whereas irregular practice did not have significant associations. It is important to note that these associations were identifiable even after controlling for well-established covariates of subjective well-being.

These associations are corroborated with earlier research findings that mind-body practices as a lifestyle intervention helps to improve memory functioning and subjective physical and psychological health of older adults (Mitchell et al., 2014). Our study utilizes adults in a chronically stressful role of caregiving, suggesting that regular participation in mind-body practices has the potential to be an effective non-pharmacological intervention to promote subjective well-being among this population. In this context, in the United States, based on the 2002 to 2012 waves of the National Health Interview Survey (NHIS), it has been found that the participation rates of mind-body practices have increased in recent years; yoga accounted for nearly four-fifths of the prevalence indicating that people are using yoga more than any other mind-body practicing techniques (Clarke et al., 2015).

When looking at more nuanced findings from our study, we note that participants aged 55 to 64, 65 to 74, and 75+ (reference <45), married (reference never married), with higher levels of education (reference no/some school), and those who were employed and retired (reference other) showed a more favorable association between mind-body practices and life satisfaction. On the other hand, those who were aged 65 to 74 and women showed a more favorable association between mind-body practices and mindfulness-wellbeing. It was also evident in earlier studies that lower educational attainment is generally associated with poorer cognitive performances and psychosocial health at later ages (Assari & Bazargan, 2019; Brigola et al., 2019). The current study corroborates with earlier findings, that is, more educated informal caregivers reported better subjective well-being compared to the others of the same cohort.

Limitations

The dataset used in the current study did not provide any information on the intensity and participants’ experience in mind-body practice that may have biased the current findings toward the null hypothesis. It is impossible to identify how many participants practiced yoga, tai chi, or Pilates in the dataset. This information is vital to identify whether there are any dose-response associations in observed effects. Also, there was no standardized method to confirm whether the participants had adequate technical knowledge of performing any specific mind-body practices. Many persons who practiced mind-body practice might consider themselves deficient in health, thereby trying mind-body practices to benefit as an alternative health approach. This motivation might be a reason that, sometimes, our study did not yield symmetrical results for both domains of subjective well-being. Indeed, relative to participants who reported no chronic conditions (reference category), those having chronic condition/s showed a less favorable association with life satisfaction. Future research with more detailed information on the type, dose, and experience of mind-body practices could yield more clear associations between mind-body practices and subjective well-being. Furthermore, the participants included in the study were not screened initially for cognitive impairment, which might induce some generalizability bias. Also, based on available data, it was impossible to identify the exact mind-body practice approach used by the participants; it might also induce some generalizability bias. Finally, the findings of these analyses need to be interpreted with the caveat that sample sizes per category were small (i.e., between 8 and 11% for each category of mind-body practices other than “never”).

Conclusions

Overall, the current findings suggested that mind-body practices are associated with better subjective well-being, assessed by mindfulness-specific well-being perceptions, and global life satisfaction in middle-aged and older adult caregivers. The rate of mind-body practices (for any intensity) among family caregivers was low at 20%. Future research should guide whether these findings can be replicated in other populations, and if confirmed, interventions should incorporate a broader range of mind-body interventions for caregivers as well as community-living older adults with the goal of maintaining and improving subjective well-being in the later years of life.

Supplemental Material

sj-docx-1-ggm-10.1177_23337214231185912 – Supplemental material for Mind-Body Practice and Family Caregivers’ Subjective Well-Being: Findings From the Midlife in the United States (MIDUS) Study

Supplemental material, sj-docx-1-ggm-10.1177_23337214231185912 for Mind-Body Practice and Family Caregivers’ Subjective Well-Being: Findings From the Midlife in the United States (MIDUS) Study by Kallol Kumar Bhattacharyya, Yin Liu, Neha P. Gothe and Elizabeth B. Fauth in Gerontology and Geriatric Medicine

Footnotes

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: We acknowledge support from the Alzheimer’s Disease and Dementia Research Center at Utah State University.

ORCID iD: Kallol Kumar Bhattacharyya Inline graphichttps://orcid.org/0000-0003-0689-6592

Supplemental Material: Supplemental material for this article is available online.

References

  1. Abbott R., Lavretsky H. (2013). Tai Chi and Qigong for the treatment and prevention of mental disorders. The Psychiatric Clinics of North America, 36(1), 109–119. 10.1016/j.psc.2013.01.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Assari S., Bazargan M. (2019). Educational attainment and subjective health and well-being; diminished returns of lesbian, gay, and bisexual individuals. Behavioral Sciences, 9(9), 90. 10.3390/bs9090090 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Bhattacharyya K. K., Dobbs D., Hueluer G. (2022). Mind-body practice, personality traits, and cognitive performance: A 10-years study in US adults. Gerontology & Geriatric Medicine, 8, 23337214221083475. 10.1177/23337214221083475 [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bhattacharyya K. K., Hueluer G., Meng H., Hyer K. (2021). Movement-based mind-body practices and cognitive function in middle-aged and older adults: Findings from the Midlife in the United States (MIDUS) study. Complementary Therapies in Medicine, 60, 102751. 10.1016/j.ctim.2021.102751 [DOI] [PubMed] [Google Scholar]
  5. Brigola A. G., Alexandre T. D. S., Inouye K., Yassuda M. S., Pavarini S. C. I., Mioshi E. (2019). Limited formal education is strongly associated with lower cognitive status, functional disability and frailty status in older adults. Dementia & Neuropsychologia, 13(2), 216–224. 10.1590/1980-57642018dn13-020011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Cheng S. T., Li K. K., Losada A., Zhang F., Au A., Thompson L. W., Gallagher-Thompson D. (2020). The effectiveness of nonpharmacological interventions for informal dementia caregivers: An updated systematic review and meta-analysis. Psychology and Aging, 35(1), 55–77. 10.1037/pag0000401 [DOI] [PubMed] [Google Scholar]
  7. Clarke T. C., Barnes P. M., Black L. I., Stussman B. J., Nahin R. L. (2018). Use of yoga, meditation, and chiropractors among U.S. adults aged 18 and over. NCHS Data Brief, 325, 1–8. [PubMed] [Google Scholar]
  8. Clarke T. C., Black L. I., Stussman B. J., Barnes P. M., Nahin R. L. (2015). Trends in the use of complementary health approaches among adults: United States, 2002-2012. National Health Statistics Reports, 79, 1–16. [PMC free article] [PubMed] [Google Scholar]
  9. Cohen S. A., Kunicki Z. J., Nash C. C., Drohan M. M., Greaney M. L. (2021). Rural-urban differences in caregiver burden due to the COVID-19 pandemic among a national sample of informal caregivers. Gerontology & Geriatric Medicine, 7, 23337214211025124. 10.1177/23337214211025124 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Collins R. N., Kishita N. (2019). The effectiveness of mindfulness- and acceptance-based interventions for informal caregivers of people with dementia: A meta-analysis. The Gerontologist, 59(4), e363–e379. 10.1093/geront/gny024 [DOI] [PubMed] [Google Scholar]
  11. Cramer H., Quinker D., Pilkington K., Mason H., Adams J., Dobos G. (2019). Associations of yoga practice, health status, and health behavior among yoga practitioners in Germany-results of a national cross-sectional survey. Complementary Therapies in Medicine, 42, 19–26. 10.1016/j.ctim.2018.10.026 [DOI] [PubMed] [Google Scholar]
  12. Diener E., Lucas R. E., Oishi S. (2002). Sujective well-being: The science of happiness and life satisfaction. In Snyder C. R., Lopez S. J. (Eds.), Handbook of Positive Psychology (pp. 463–73). Oxford University Press. [Google Scholar]
  13. Fleming K. M., Herring M. P. (2018). The effects of pilates on mental health outcomes: A meta-analysis of controlled trials. Complementary Therapies in Medicine, 37, 80–95. 10.1016/j.ctim.2018.02.003 [DOI] [PubMed] [Google Scholar]
  14. Hariprasad V. R., Koparde V., Sivakumar P. T., Varambally S., Thirthalli J., Varghese M., Basavaraddi I. V., Gangadhar B. N. (2013). Randomized clinical trial of yoga-based intervention in residents from elderly homes: Effects on cognitive function. Indian Journal of Psychiatry, 55(Suppl 3), S357–S363. 10.4103/0019-5545.116308 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Hazzan A. A., Dauenhauer J., Follansbee P., Hazzan J. O., Allen K., Omobepade I. (2022). Family caregiver quality of life and the care provided to older people living with dementia: qualitative analyses of caregiver interviews. BMC Geriatrics, 22(1), 86. 10.1186/s12877-022-02787-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Hepburn S. J., Carroll A., McCuaig L. (2021). The relationship between mindful attention awareness, perceived stress and subjective wellbeing. International Journal of Environmental Research and Public Health, 18(23), 12290. 10.3390/ijerph182312290 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Hughes M. L., Agrigoroaei S., Jeon M., Bruzzese M., Lachman M. E. (2018). Change in cognitive performance from midlife into old age: Findings from the Midlife in the United States (MIDUS) study. Journal of the International Neuropsychological Society, 24(8), 805–820. 10.1017/S1355617718000425 [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Jahnke R., Larkey L., Rogers C., Etnier J., Lin F. (2010). A comprehensive review of health benefits of qigong and tai chi. American Journal of Health Promotion, 24(6), e1–e25. doi: 10.4278/ajhp.081013-LIT-24 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Judge K. S., Menne H. L., Whitlatch C. J. (2010). Stress process model for individuals with dementia. The Gerontologist, 50(3), 294–302. 10.1093/geront/gnp162 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Karataş Z., Uzun K., Tagay Ö. (2021). Relationships between the life satisfaction, meaning in life, hope and COVID-19 fear for Turkish adults during the COVID-19 outbreak. Frontiers in Psychology, 12, 633384. 10.3389/fpsyg.2021.633384 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Kloubec J. (2011). Pilates: How does it work and who needs it? Muscles, Ligaments and Tendons Journal, 1(2), 61–66. [PMC free article] [PubMed] [Google Scholar]
  22. Langa K. M., Chernew M. E., Kabeto M. U., Herzog A. R., Ofstedal M. B., Willis R. J., Wallace R. B., Mucha L. M., Straus W. L., Fendrick A. M. (2001). National estimates of the quantity and cost of informal caregiving for the elderly with dementia. Journal of General Internal Medicine, 16(11), 770–778. 10.1111/j.1525-1497.2001.10123.x [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Langer E. J., Moldoveanu M. (2000). The construct of mindfulness. Journal of Social Issues, 56(1), 1–9. 10.1111/0022-4537.00148 [DOI] [Google Scholar]
  24. Lim E. J., Park J. E. (2019). The effects of Pilates and yoga participant’s on engagement in functional movement and individual health level. Journal of Exercise Rehabilitation, 15(4), 553–559. 10.12965/jer.1938280.140 [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Maric V., Mishra J., Ramanathan D. S. (2021). Using mind-body medicine to reduce the long-term health impacts of COVID-specific chronic stress. Frontiers in Psychiatry, 12, 585952. 10.3389/fpsyt.2021.585952 [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Marin M. F., Lord C., Andrews J., Juster R. P., Sindi S., Arsenault-Lapierre G., Fiocco A. J., Lupien S. J. (2011). Chronic stress, cognitive functioning and mental health. Neurobiology of Learning and Memory, 96(4), 583–595. 10.1016/j.nlm.2011.02.016 [DOI] [PubMed] [Google Scholar]
  27. Matud M. P., Bethencourt J. M., Ibáñez I. (2014). Relevance of gender roles in life satisfaction in adult people. Personality and Individual Differences, 70, 206–211. 10.1016/j.paid.2014.06.046 [DOI] [Google Scholar]
  28. Mitchell A. J., Beaumont H., Ferguson D., Yadegarfar M., Stubbs B. (2014). Risk of dementia and mild cognitive impairment in older people with subjective memory complaints: Meta-analysis. Acta Psychiatrica Scandinavica, 130(6), 439–451. 10.1111/acps.12336 [DOI] [PubMed] [Google Scholar]
  29. Nasiri H. A., Bahram J. (2008). The relationship between life’s meaningfulness, hope, happiness, life satisfaction and depression in a group of employed women. Woman in Development & Politics, 6(2), 157–176. [Google Scholar]
  30. Pearlin L. I., Mullan J. T., Semple S. J., Skaff M. M. (1990). Caregiving and the stress process: An overview of concepts and their measures. The Gerontologist, 30(5), 583–594. 10.1093/geront/30.5.583 [DOI] [PubMed] [Google Scholar]
  31. Pinquart M., Sörensen S. (2007). Correlates of physical health of informal caregivers: A meta-analysis. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 62(2), P126–P137. 10.1093/geronb/62.2.p126 [DOI] [PubMed] [Google Scholar]
  32. Prenda K. M., Lachman M. E. (2001). Planning for the future: A life management strategy for increasing control and life satisfaction in adulthood. Psychology and Aging, 16(2), 206–216. 10.1037/0882-7974.16.2.206 [DOI] [PubMed] [Google Scholar]
  33. Rocha K. K., Ribeiro A. M., Rocha K. C., Sousa M. B., Albuquerque F. S., Ribeiro S., Silva R. H. (2012). Improvement in physiological and psychological parameters after 6 months of yoga practice. Consciousness and Cognition, 21(2), 843–850. [DOI] [PubMed] [Google Scholar]
  34. Rosini R. J., Nelson A., Sledjeski E., Dinzeo T. (2017). Relationships between levels of mindfulness and subjective well-being in undergraduate students. Modern Psychological Studies, 23(1), 4. https://scholar.utc.edu/mps/vol23/iss1/4 [Google Scholar]
  35. Ross A., Thomas S. (2010). The health benefits of yoga and exercise: A review of comparison studies. Journal of Alternative and Complementary Medicine, 16(1), 3–12. [DOI] [PubMed] [Google Scholar]
  36. Ryff C., David M., Almeida J. S., Ayanian D. S., Carr P. D., Cleary C. C. (2012). National survey of midlife development in the United States (MIDUS II), 2004-2006. CPSR04652-v6. Inter University Consortium for Political and Social Research. [Google Scholar]
  37. Schmaderer M., Struwe L., Pozehl B., Loecker C., Zimmerman L. (2020). Health status and burden in caregivers of patients with multimorbidity. Gerontology & Geriatric Medicine, 6, 2333721420959228. 10.1177/2333721420959228 [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Schulz R., Sherwood P. R. (2008). Physical and mental health effects of family caregiving. The American Journal of Nursing, 108(9 Suppl), 23–27. 10.1097/01.NAJ.0000336406.45248.4c [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Scott S. B., Graham-Engeland J. E., Engeland C. G., Smyth J. M., Almeida D. M., Katz M. J., Lipton R. B., Mogle J. A., Munoz E., Ram N., Sliwinski M. J. (2015). The effects of stress on cognitive aging, physiology and emotion (ESCAPE) project. BMC Psychiatry, 15(1), 146. 10.1186/s12888-015-0497-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Sesker A. A., Súilleabháin P. Ó., Howard S., Hughes B. M. (2016). Conscientiousness and mindfulness in midlife coping: An assessment based on MIDUS II. Personality and Mental Health, 10(1), 29–42. 10.1002/pmh.1323 [DOI] [PubMed] [Google Scholar]
  41. Shani P., Raeesi K., Walter E., Lewis K., Wang W., Cohen L., Yeh G. Y., Lengacher C. A., Wayne P. M. (2021). Qigong mind-body program for caregivers of cancer patients: Design of a pilot three-arm randomized clinical trial. Pilot and Feasibility Studies, 7(1), 73. 10.1186/s40814-021-00793-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Tsang W., Chan K. K., Cheng C. N., Hu F., Mak C., Wong J. (2019). Tai Chi practice on prefrontal oxygenation levels in older adults: A pilot study. Complementary Therapies in Medicine, 42, 132–136. 10.1016/j.ctim.2018.11.005 [DOI] [PubMed] [Google Scholar]
  43. Uebelacker L. A., Kraines M., Broughton M. K., Tremont G., Gillette L. T., Epstein-Lubow G., Abrantes A. M., Battle C., Miller I. W. (2017). Perceptions of hatha yoga amongst persistently depressed individuals enrolled in a trial of yoga for depression. Complementary Therapies in Medicine, 34, 149–155. 10.1016/j.ctim.2017.06.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Ulrich-Lai Y. M., Herman J. P. (2009). Neural regulation of endocrine and autonomic stress responses. Nature Reviews Neuroscience, 10(6), 397–409. 10.1038/nrn2647 [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Van Doesum N. J., Murphy R. O., Gallucci M., Aharonov-Majar E., Athenstaedt U., Au W. T., Bai L., Böhm R., Bovina I., Buchan N. R., Chen X. P., Dumont K. B., Engelmann J. B., Eriksson K., Euh H., Fiedler S., Friesen J., Gächter S., Garcia C., Van Lange P. A. M. (2021). Social mindfulness and prosociality vary across the globe. Proceedings of the National Academy of Sciences of the United States of America, 118(35), e2023846118. 10.1073/pnas.2023846118 [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Wang C. C., Li K., Choudhury A., Gaylord S. (2019). Trends in Yoga, Tai Chi, and Qigong use among US adults, 2002-2017. American Journal of Public Health, 109(5), 755–761. 10.2105/AJPH.2019.304998 [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Woodyard C. (2011). Exploring the therapeutic effects of yoga and its ability to increase quality of life. International Journal of Yoga, 4(2), 49–54. 10.4103/0973-6131.85485 [DOI] [PMC free article] [PubMed] [Google Scholar]

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sj-docx-1-ggm-10.1177_23337214231185912 – Supplemental material for Mind-Body Practice and Family Caregivers’ Subjective Well-Being: Findings From the Midlife in the United States (MIDUS) Study

Supplemental material, sj-docx-1-ggm-10.1177_23337214231185912 for Mind-Body Practice and Family Caregivers’ Subjective Well-Being: Findings From the Midlife in the United States (MIDUS) Study by Kallol Kumar Bhattacharyya, Yin Liu, Neha P. Gothe and Elizabeth B. Fauth in Gerontology and Geriatric Medicine


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