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Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63457, first published .
Whole-Body and Segmental Phase Angles and Cognitive Function in the Older Korean Population: Cross-Sectional Analysis

Whole-Body and Segmental Phase Angles and Cognitive Function in the Older Korean Population: Cross-Sectional Analysis

Whole-Body and Segmental Phase Angles and Cognitive Function in the Older Korean Population: Cross-Sectional Analysis

Authors of this article:

Jiaren Chen1 Author Orcid Image ;   Jong-Hwan Park2, 3, 4 Author Orcid Image ;   Chien-Yu Lin5, 6, 7 Author Orcid Image ;   Ting-Fu Lai1, 8 Author Orcid Image ;   Du-Ri Kim8, 9 Author Orcid Image ;   Myung-Jun Shin8, 10, 11 Author Orcid Image ;   Eunsoo Moon8, 12, 13 Author Orcid Image ;   Jung Mo Kang8, 14 Author Orcid Image ;   Jong Won Lee8, 14 Author Orcid Image ;   Yoon Jae Cho8, 14 Author Orcid Image ;   Yung Liao1, 6 Author Orcid Image ;   Tae Sik Goh8, 14, 15 Author Orcid Image ;   Jung Sub Lee8, 14, 15 Author Orcid Image
Article Authors Cited by Tweetations Metrics

    1Graduate Institute of Sport, Leisure and Hospitality Management, National Taiwan Normal University, Taipei, Taiwan

    2Department of Rehabilitation Medicine, Pusan National University School of Medicine, Pusan National University Hospital, Busan, Republic of Korea

    3Department of Rehabilitation Medicine, Pusan National University School of Medicine, Yangsan, Republic of Korea

    4Department of Psychiatry, Pusan National University Hospital, Busan, Republic of Korea

    5Department of Psychiatry, Pusan National University School of Medicine, Yangsan, Republic of Korea

    6Department of Orthopaedic Surgery, Pusan National University Hospital, 179 Gudeok-ro, Seo-gu, Busan, Republic of Korea, Busan, Republic of Korea

    7Department of Orthopaedic Surgery, Pusan National University School of Medicine, 49 Busandaehak-ro, Mulgeum-eup, Yangsan, Republic of Korea

    8Department of Convergence Medicine, Pusan National University School of Medicine, Yangsan, Republic of Korea

    9Department of Clinical Bio-Convergence, Graduate School of Convergence in Biomedical Science, Pusan National University School of Medicine, Yangsan, Republic of Korea

    10Convergence Medical Institute of Technology, Pusan National University Hospital, Busan, Republic of Korea

    11Department of Public Health, College of Public Health, China Medical University, Taichung, Taiwan

    12Faculty of Sport Sciences, Waseda University, Tokorozawa, Japan

    13Centre for Urban Transitions, Swinburne University of Technology, Melbourne, Australia

    14Biomedical Research Institute, Pusan National University Hospital, 179 Gudeok-ro, Seo-gu, Busan, Republic of Korea

    15Department of Rehabilitation Science, Graduate School, Inje University, Gimhae, Republic of Korea

    *these authors contributed equally

    Corresponding Author:

    Jung Sub Lee, MD, PhD


    Background: Recently, the phase angle (PhA) has emerged as an essential indicator of cellular health. Most studies have examined its association with physiological conditions, such as sarcopenia, frailty, and physical function, in older populations. Simultaneously, growing attention is being paid to the clinical relevance of segmental PhAs for future applications. However, few studies have explored the relationship between PhAs, especially segmental PhAs, and the psychological aspects of health, particularly cognitive function.

    Objective: We aimed to investigate the association between whole-body and segmental PhAs and cognitive function in older adults.

    Methods: Individuals aged 65 years and above were recruited from adult community groups residing in Busan, South Korea, through the 2022 Bus-based Screening and Assessment Network (BUSAN) study of Pusan National University Hospital. Participants’ whole-body and segmental PhAs were measured using a bioelectrical impedance analyzer (BWA 2.0 Body Water Analyzer, InBody), and cognitive functions (overall and subdomains, including memory, orientation, attention and calculation, and language) were self-reported using the Korean version of the Mini-Mental State Examination. Multiple linear regression analyses were performed to examine these associations.

    Results: This study included 625 older adults aged 65‐96 years (women: n=444, 71%; men: n=191, 29%). A positive association was observed between whole-body PhA and cognitive function (b=0.62, 95% CI 0.16‐1.08; P<.01). We observed significant positive associations between the PhA of the lower limbs (b=0.72, 95% CI 0.38‐1.06; P<.001) and cognitive function. Analysis of the Mini-Mental State Examination subdomains revealed that whole-body PhA was significantly related to memory (b=0.11, 95% CI 0.00‐0.22; P=.04); the PhA of the upper limbs was significantly related to orientation (b=0.29, 95% CI 0.09‐0.49; P=.01); and the PhA of the lower limbs was significantly related to orientation (b=0.24, 95% CI 0.10‐0.38; P<.001), attention and calculation (b=0.21, 95% CI 0.06‐0.37; P=.01), memory (b=0.14, 95% CI 0.05‐0.22; P=.001), and language functions (b=0.07, 95% CI 0.01‐0.12; P=.01). However, trunk PhA showed no significant association.

    Conclusions: Our findings bolster the emerging evidence of a significant positive correlation between whole-body PhA and cognitive function in our sample, with nuanced relationships observed across different segmental PhAs and cognitive subdomains. Therefore, this study revealed that PhAs could be a useful tool for screening or preventing cognitive decline in the general older population, offering substantial evidence for future interventional studies. Further research should delve into the mechanisms and assess targeted interventions that enhance regional physical function to support cognitive health in older adults. Further long-term investigation on these associations is warranted.

    JMIR Public Health Surveill 2024;10:e63457

    doi:10.2196/63457

    Keywords

    bioelectrical impedance analysis; oxidative stress; cellular health; cognitive function; older adults; BIA; phase angle; PhA 


    The global population is aging, and this makes older adults’ well-being a primary public issue. Cognitive functioning declines with age, increasing the risk of dementia; prevalence rates have notably risen by 18% to 38% among those aged 85 years and above [1,2]. Dementia is the main cause of dependency and disability among older adults [3]. Cognitive decline appears to be irreversible once dementia is diagnosed. Therefore, there is an urgent need to identify measures to prevent cognitive decline [4]. Improving or maintaining cognitive health in older populations is important not only for individual well-being but also for societal sustainability [5]. Hence, maintaining cognitive health is not merely a means to diminish the risk of debilitating disorders, such as dementia, but it is also pivotal to facilitating better engagement in daily activities and enhancing social participation. Identifying biomarkers associated with cognitive function in the older population can be instrumental in enhancing our understanding of cognitive health and promoting healthy aging.

    As individuals age, the accumulation of senescent cells increases, promoting proinflammatory cytokine secretion that disrupts normal cell and tissue function, negatively affecting cellular health and contributing to age-related diseases [6]. The phase angle (PhA) is emerging an indicator of muscle quality that reflects cellular health status [7] and is associated with inflammatory biomarkers [8,9]. Its values typically decline with age, indicating a loss of cellular membrane integrity [10]. A higher PhA is associated with lower risk of sarcopenia [11], frailty [12], and incident disability [13] as well as better physical function [14,15] in older adults. This may be attributed to higher PhAs indicating better muscle quality and mass. Furthermore, recent studies revealed a positive association between muscle health and cognitive functions [16,17]. However, few studies have explored the relationship between PhA and psychological conditions, such as cognitive function, in the older population [18].

    Only 1 recent study has examined the association between PhA and clinically diagnosed Alzheimer disease or amnestic mild cognitive impairment in patients who visited an outpatient geriatrics department [19]. Thus far, few studies have addressed the relationship between PhA and nonclinically diagnosed cognitive impairment in a broader community-based older population [18,20]. Identifying subtle or atypical decline in cognitive function is crucial for early detection and intervention, and it is often overlooked in traditional clinical settings. Additionally, recent research suggests that segmental PhAs may serve as a prognostic tool for specific physical functions related to body segments [21,22]. Understanding the association between whole-body and segmental PhAs and cognitive function in older adults may aid in detailed health monitoring.

    We investigated the associations between PhA, both whole-body and segmental, and cognitive functioning, overall and by subdomains, in older Korean adults.


    Participants

    Participants aged 65 years and above were selected from 18 different welfare centers and day care centers in Busan, South Korea, through the 2022 Bus-based Screening and Assessment Network (BUSAN) study of Pusan National University Hospital (July 1 to December 31, 2022). This program aimed at operating a specially modified medical bus to provide comprehensive health care services (including medical examinations, health consultations, and health education) to the older population by visiting public facilities in Busan. The target population was initially identified by the Busan Metropolitan City Health and Welfare Division, focusing on older individuals who may have difficulty accessing regular health care services. The welfare centers assisted in promoting the project and organizing the participation of older adults. A total of 1516 older individuals received health screening services. Subsequently, medical staff from the Health Promotion Center of Pusan National University Hospital, including specialists in orthopedics, nuclear medicine, and emergency medicine, conducted health checks and consultations for the selected participants. Each location was typically visited twice, allowing for follow-up assessments. These medical buses are equipped with mobile instruments, such as a bioelectrical impedance analyzer (BIA) and ultrasound equipment. Each participant filled in a questionnaire on sociodemographic characteristics and the Korean version of the Mini-Mental State Examination (K-MMSE) items on cognitive function; their PhA was objectively assessed using the instrument. All assessments were conducted in the morning, and participants were ensured a full rest and a regular diet to minimize the effects of fatigue or hunger. The tests were administered by trained health care professionals, following a standardized protocol in a controlled environment to ensure consistency across participants. Informed consent was obtained from all patients prior to data collection.

    Measurements

    Phase Angle

    Participants’ whole-body and segmental PhAs, such as the arms, trunk, and legs, were measured using a segmental multifrequency BIA (BWA 2.0 Body Water Analyzer, InBody), the reliability and validity of which have been extensively examined in previous research [23-25]. To maintain the measurement accuracy, the instrument was calibrated prior to each measurement. PhAs were assessed at a frequency of 50 kHz from raw resistance and reactance data, with higher values indicating greater integrity of the cell membranes [26]. The BIA used 4 electrodes that trained personnel placed on the participant’s hands and feet while the participant was seated for measurement. Participants with artificial implants in their bodies, such as cardiac pacemakers or metal orthopedic pins, or those with major limb amputations or significant sequelae from saphenous vein removal, which would impede the measurement of bioelectrical impedance [27], were excluded from the study.

    Cognitive Function

    Cognitive function was assessed by using the K-MMSE. It is a validated cognitive impairment screening tool widely employed for older adults. Its reliability and validity have been previously reported [28,29]. It evaluates cognitive functioning across 6 dimensions: orientation (10 points), attention and calculation (8 points), memory (3 points), language (5 points), verbal comprehension and functional capacity (3 points), and constructional praxis (1 point). The K-MMSE score, which ranges from 0 to 30, was calculated by summing the correct responses to each subitem of the assessment [30]. A higher score on overall cognitive functioning and its subdomains indicates better cognitive function.

    Covariates

    Covariates in the analysis included gender, age group (65‐74 years or ≥75 years), BMI (kg/m2), depressive symptoms, and nutritional status. Depressive symptoms were self-reported using the Korean version of the 15-item Geriatric Depression Scale, ranging from 0 (lowest risk) to 15 (highest risk) [31]. Scores of 5 or lower indicate no risk of depression, whereas scores of 6 or higher suggest the presence of depressive symptoms. Its reliability has been tested in the Korean older population, with a Cronbach α value of .86 and validity of .67 to .68 for screening depression [32]. Nutritional status was assessed using the Korean version of the Mini Nutritional Assessment Short Form, which has been validated in previous studies in older populations [33]. The assessment comprises 7 questions, with a total score of 14 points, where 12‐14 points indicate normal nutritional status, a score of 8‐11 points suggests a risk of malnutrition, and a score below 8 indicates malnutrition. In this study, nutritional status was categorized into 2 groups: normal (12‐14 points) and at risk of malnutrition (11 points or below).

    Statistical Analyses

    Distribution of the characteristics of the study participants is shown in Table 1. We examined the associations between PhAs (whole-body and segmental) and cognitive functions (overall and subdomains) in the older Korean population using multiple linear regression models after adjusting for all covariates. Associations were estimated using unstandardized coefficients (b) and 95% CIs. All analyses were conducted using SPSS software, version 27.0 (IBM).

    Table 1. Categorical characteristics of older adults from a cross-sectional study conducted in Busan, South Korea, between July and December 2022, including age, gender, depressive symptoms, and nutritional status.
    Categorical variablesNumber of participants (N=625), n (%)
    Age (years)
     65‐74265 (42.4)
     ≥75360 (57.6)
    Sex
     Women444 (71)
     Men181 (29)
    Depressive symptoms
     Normal421 (67.4)
     At risk for depression204 (32.6)
    Nutritional status
     Normal450 (72)
     At risk of malnutrition175 (28)

    Ethical Considerations

    This study was approved by the Institutional Review Board of the Pusan National Hospital (2206-016-116), and written informed consent was obtained from all participants before the survey was administered. All methods adhered to the Declaration of Helsinki. Study data were anonymized to protect participants’ privacy. No compensation was provided to participants.


    A total of 625 participants were analyzed. Tables 1 and 2 list the participants’ characteristics. The participants had an average age of 76.0 years (SD 6.0), and 444 (71%) were women. More than half of the participants were not at risk of depression (n=421, 67.4%) and 450 out of 625 participants had normal nutritional status (72%). The average BMI was 24.5 kg/m²; the average whole-body PhA was 5.3 degrees, with the PhA of the upper limbs at 5.1 degrees, the PhA of the lower limbs at 5.4 degrees, and trunk PhA at 5.8 degrees. The overall cognitive function scores, along with domain-specific scores such as orientation, attention and calculation, memory, language, verbal comprehension and functional capacity, and constructional praxis, are presented in Table 2.

    Table 2. Continuous characteristics of older adults (N=625) from a cross-sectional study in Busan, South Korea (July to December 2022), including age, BMI, cognitive function scores, and segmental PhAsa.
    Continuous variablesQuantity, mean (SD)
    Age (years)76.0 (6.0)
    BMI (kg/m2)24.5 (3.5)
    Cognitive function scores24.7 (4.5)
     Orientation scores9.0 (1.8)
     Attention and calculation scores5.7 (2.0)
     Memory scores1.9 (1.0)
     Language scores4.7 (0.7)
     Verbal comprehension and functional capacity scores2.7 (0.6)
     Constructional praxis scores0.7 (0.5)
    PhA (degrees) 
     Upper-body PhA5.1 (0.8)
     Lower-body PhA5.4 (1.1)
     Trunk PhA5.8 (5.9)
     Whole-body PhA5.3 (0.8)

    aPhA: phase angle

    Table 3 demonstrates a positive association between the whole-body PhA and overall cognitive function (b=0.62, 95% CI 0.16-1.08; P=.009) as well as some subdomains of cognitive function, such as orientation (b=0.31, 95% CI 0.13-0.50; P=.001) and memory (b=0.11, 95% CI 0.00-0.22; P=.04). Positive associations with cognitive functions—overall and all subdomains, with the exception of verbal comprehension, functional capacity, and constructional praxis—were mainly found for the PhA of the lower limbs. A positive association was also observed between the PhA of the upper limbs and orientation. No association was found between the PhA of the trunk and cognitive function.

    Table 3. Multiple linear regression model examining associations between whole-body and segmental PhAsa with cognitive function domains in older adults (N=625) from Busan, South Korea, between July and December 2022, adjusting for gender, age, BMI, the 15-item Geriatric Depression Scale total score, and nutritional status.
    Cognitive functionWhole-body PhAUpper-body PhALower-body PhATrunk PhA
    b95% CIP valueb95% CIP valueb95% CIP valueb95% CIP value
    Overall0.620.16 to 1.08.0090.39−0.11 to 0.90.130.720.38 to 1.06<.0010.01−0.05 to 0.06.80
    Orientation0.310.13 to 0.50.0010.290.09 to 0.49.0060.240.10 to 0.38.001−0.00−0.02 to 0.02.96
    Attention and calculation0.11−0.10 to 0.32.30−0.03−0.26 to 0.20.790.210.06 to 0.37.0070.01−0.02 to 0.03.64
    Memory0.110.00 to 0.22.040.04−0.08 to 0.16.470.140.05 to 0.22.0010.00−0.01 to 0.02.86
    Language0.01−0.06 to 0.08.80−0.02−0.09 to 0.06.620.070.01 to 0.12.0140.00−0.01 to 0.01.93
    Verbal comprehension and functional capacity0.07−0.00 to 0.14.060.07−0.00 to 0.15.050.04−0.01 to 0.09.110.00−0.01 to 0.01.58
    Constructional praxis−0.01−0.06 to 0.05.84−0.05−0.10 to 0.01.090.04−0.00 to 0.07.060.00−0.00 to 0.01.50

    aPhA: phase angle.


    Principal Findings

    This study is among the first to analyze the association between PhA and cognitive function in older adults. Positive associations were found between PhAs (whole-body and segmental) and cognitive function (overall and subdomains). Positive associations were found mainly between the PhA of the lower limbs and the orientation domain of cognitive function.

    Our data show a positive association between whole-body PhA and overall cognitive function in an older population. A previous study of 153 patients with Alzheimer disease or amnestic mild cognitive impairment from Japan showed that decreased PhAs were associated with deteriorated cognitive function [19]. The positive association between whole-body PhA and overall cognitive function may be attributed to the integrity of neural cell functions and cellular health [7]. Cognitive decline with neural cell functional impairment and increased levels of oxidative stress are stress markers [34] in older adults. Previous studies have confirmed that PhAs can serve as a screening tool for oxidative damage because lower PhA values are related to higher levels of inflammatory markers, such as C-reactive protein, interleukin-6, and interleukin-10 [8,35]. Such positive associations were not only found for patients in the previous study but also for the generally healthy older population in this study. Another interesting finding in this study was the highly significant association between PhA and orientation and memory, all of which are related to the hippocampus. However, the specific mechanisms underlying this association require further investigations.

    Our analyses showed that the PhA of the lower limbs plays a significant role among the PhAs for different body segments. Lower-limb PhA was positively associated with overall cognitive function and all its subdomains, except for verbal comprehension, functional capacity, and constructional praxis. This association likely stems from the relationship between lower-limb PhA and limb strength in older adults [36], which affects cognitive function by improving blood flow and reducing inflammation [37,38]. These mechanisms are crucial for maintaining brain health and cognitive performance. While additional evidence is needed to better understand the mechanisms underlying lower-limb PhA’s relationship with different cognitive dimensions, an earlier study has suggested that aerobic walking activities that involve lower-limb strength may contribute to increasing the size of the anterior hippocampus in older adults, thereby enhancing spatial memory and reducing the risk of cognitive decline [39]. In contrast, the PhA of the upper limbs showed a positive association with orientation. An interventional study of 31 older adults aged 65 years and above with mild cognitive impairment showed that an 8-week calligraphy treatment, an activity requiring upper-limb dexterity, could lead to significant improvements in some specific dimensions of cognitive function, including orientation and attention and calculation after 2 months, compared with their counterparts [40]. However, trunk PhA did not exhibit a significant relationship with any cognitive function, hinting at its potentially limited role in cognitive health. Further research, bolstered by additional evidence, is warranted to elucidate the underlying mechanisms.

    This study has some limitations. First, this study was cross-sectional and the investigated associations between PhAs and cognitive function cannot be inferred as causal relationships. Future studies could benefit from adopting a longitudinal design to monitor cognitive function changes over time. Second, participants’ level of cognitive functioning was self-reported, which may lead to recall bias. Additionally, the predictive capability of the MMSE for cognitive decline varies, with studies showing that it might not effectively track early cognitive changes, particularly in comparison with more detailed assessments, such as the Montreal Cognitive Assessment (MoCA) [41]. We did not use cognitive functioning measured by MoCA, since data were unavailable; future research is suggested to incorporate the MoCA in the measurements of cognitive functioning. Third, some residual covariates, such as socioeconomic status, may not have been considered in the association between PhAs and cognitive function. Finally, participants of this study may be at different levels of frailty. Future studies should not only incorporate additional potential confounding variables for a more comprehensive analysis but also conduct more detailed subgroup analyses based on participants’ varying health conditions.

    Conclusions

    Our results strengthen the limited evidence in the literature indicating that whole-body PhA is positively associated with cognitive function in older populations. Segmental PhAs reflect differential associations with cognitive function, highlighting the intricate relationship between body composition and cognitive health. These findings provide clinical implications on the potential strategies of primary screening of cognitive impairment among older adults by identifying those with a low PhA. Future research is suggested to further investigate the mechanisms and effectiveness of programs on strengthening physical function in different body regions on cognitive function in older adults.

    Acknowledgments

    This study was funded by the Taiwan Ministry of Science and Technology (grant MOST 111-2628-H-003-006-MY3), and the National Taiwan Normal University within the framework of the Higher Education Sprout Project by the Ministry of Education in Taiwan. This study was supported by the Busan Medi-Bus Project grant by the Busan Metropolitan City. The views expressed in the paper are those of the authors. The authors acknowledge equal contribution by JC and JHP as cofirst authors. This work was jointly supervised by TSG and JSL, who are designated as the cocorresponding authors.

    Data Availability

    The data used in this study are available from the corresponding author upon reasonable request.

    Conflicts of Interest

    None declared.

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    ‎
    BIA: bioelectrical impedance analyzer
    BUSAN: Bus-based Screening and Assessment Network
    K-MMSE: Korean version of the Mini-Mental State Examination
    MoCA: Montreal Cognitive Assessment
    PhA: phase angle

    Edited by Amaryllis Mavragani; submitted 21.06.24; peer-reviewed by Babak Najand, Neziha Erken; final revised version received 18.10.24; accepted 19.10.24; published 16.12.24.

    Copyright

    © Jiaren Chen, Jong-Hwan Park, Chien-Yu Lin, Ting-Fu Lai, Du-Ri Kim, Myung-Jun Shin, Eunsoo Moon, Jung Mo Kang, Jong Won Lee, Yoon Jae Cho, Yung Liao, Tae Sik Goh, Jung Sub Lee. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 16.12.2024.

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