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Sun Y, Li W, Zhou Y, Wang B, Tan X, Lu Y, Zhu J, Shi W, Wang N. Long-term changes in frailty and incident type 2 diabetes: A prospective cohort study based on the UK Biobank. Diabetes Obes Metab 2024. [PMID: 38783818 DOI: 10.1111/dom.15676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 04/30/2024] [Accepted: 05/05/2024] [Indexed: 05/25/2024]
Abstract
AIMS To estimate the association between long-term changes in frailty and the risk of incident type 2 diabetes (T2DM) and to evaluate the effect of preventing the worsening of frailty on the risk of T2DM. METHODS We included 348 205 participants free of baseline T2DM and with frailty phenotype (FP) data from the UK Biobank; among them, 36 175 had at least one follow-up assessment. According to their FP score, participants were grouped into nonfrailty, prefrailty and frailty groups. Frailty assessed at baseline and at follow-up was used to derive the trajectory of frailty (ΔFP). Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS Compared with those in the nonfrailty group at baseline, the HRs of T2DM for the prefrailty and frailty groups were 1.38 (95% CI 1.33-1.43) and 1.69 (95% CI 1.59-1.79), respectively (both p < 0.001), in the multivariable-adjusted model. During a median follow-up of 5.4 years after the final assessment, data for 472 T2DM patients were recorded. A 1-point increase in the final FP was associated with a 25% (95% CI 1.14-1.38; p < 0.001) increased risk of T2DM. For the trajectory of frailty, each 0.5-point/year increase in ΔFP was associated with a 52% (95% CI 1.18-1.97; p < 0.001) greater risk of T2DM, independent of the FP score at baseline. Compared with those that remained in the nonfrailty group, the greatest risk of T2DM over time was prefrailty aggravation (HR 3.03, 95% CI 2.00-4.58; p < 0.001). Using the frailty index did not materially change the results. CONCLUSIONS Long-term changes in frailty were associated with the risk of incident T2DM, irrespective of baseline frailty status. Preventing the worsening of frailty may reduce T2DM risk.
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Affiliation(s)
- Ying Sun
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Weihao Li
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Yinuo Zhou
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Bin Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Xiao Tan
- Department of Big Data in Health Science, Zhejiang University, Hangzhou, China
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Yingli Lu
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Jingjing Zhu
- Clinical Research Center, School of Medicine, Shanghai Ninth People's Hospital Affiliated to Shanghai JiaoTong University, Shanghai, China
| | - Wentao Shi
- Clinical Research Center, School of Medicine, Shanghai Ninth People's Hospital Affiliated to Shanghai JiaoTong University, Shanghai, China
| | - Ningjian Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
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Takefuji Y. Exploring the connection between frailty and cardiovascular diseases. Arch Gerontol Geriatr 2024; 124:105449. [PMID: 38669728 DOI: 10.1016/j.archger.2024.105449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 04/18/2024] [Accepted: 04/19/2024] [Indexed: 04/28/2024]
Abstract
This study explores the significant correlation between frailty and an elevated risk of mortality in COVID-19 patients, suggesting that increased frailty screening could enhance disease management and optimize resource distribution. An analysis of peer-reviewed papers on frailty and cardiovascular diseases (CVD) over a ten-year period reveals a peak of 4480 articles from September 2021 to September 2022. The literature review conducted on frailty and CVD highlights the high prevalence of frailty in older adults with CVD and its role as a predictor of cardiovascular death. The study suggests that frailty can inform treatment decisions, offering more personalized care. However, standardizing frailty assessment in clinical practice and trials is needed. The impact of frailty on coronary artery disease, peripheral artery disease, and atrial fibrillation requires further research. The study also discusses the increasing global burden of CVD among older adults due to aging populations and improved care. It highlights the challenges posed by older age, multiple comorbidities, polypharmacy, frailty, and adverse noncardiovascular outcomes. The review focuses on geriatric conditions that significantly impacted health status, quality of life, and overall prognosis. The study concludes that frailty significantly increases the risk of CVD events and major adverse cardiovascular events in older adults without prior CVD. Screening for frailty could help identify those at higher risk and facilitate targeted preventive measures.
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Affiliation(s)
- Yoshiyasu Takefuji
- Faculty of Data Science, Musashino University, 3-3-3 Ariake Koto-ku, Tokyo 135-8181, Japan.
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Li X, Wang Q, Ma T, Chang X, Xue Y, Zhang Y, Liu W, Zhang Y, Zhao Y. Dietary inflammatory index, dietary total antioxidant capacity, and frailty among older Chinese adults. J Nutr Health Aging 2024; 28:100168. [PMID: 38341967 DOI: 10.1016/j.jnha.2024.100168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 01/18/2024] [Indexed: 02/13/2024]
Abstract
OBJECTIVES Frailty is an age-related syndrome associated with poor health outcomes. Studies in developed countries indicate that the dietary inflammatory index (DII) and dietary total antioxidant capacity (DTAC) are important dietary factors influencing the risk of frailty in older adults. However, few studies have explored the association between DII, DTAC, and frailty among older Chinese adults. The objective of the current study was to examine whether DII and DTAC were associated with pre-frailty or frailty among older Chinese adults. DESIGN A cross-sectional study. SETTING Community-based. PARTICIPANTS We included 6414 participants aged ≥60 years. MEASUREMENTS Dietary intake was assessed using a validated food frequency questionnaire (FFQ). The DII and energy-adjusted DII (E-DII) were calculated using food parameters. DTAC was estimated using two widely adopted antioxidant scores: DTAC based on ferric reducing antioxidant power and dietary antioxidant quality score (DAQS) obtained from vitamins (vitamins A, C, and E) and minerals (zinc and selenium) with antioxidant functions. Frailty was assessed using the frailty index (FI) calculated from 28 health-related deficits. Individuals were classified as robust (FI ≤ 0.10), pre-frailty (FI > 0.10 to <0.25), or frailty (FI ≥ 0.25). Multiple logistic regression models were used to evaluate the associations of DII and DTAC with pre-frailty and frailty. RESULTS After adjusting for confounding factors, individuals in the highest DII quintile (Q5) were more likely to have pre-frailty (odds ratio [OR] = 1.56; 95% confidence interval [CI]: 1.25-1.93; P for trend <0.001) than those in the lowest Q1. A similar positive association was detected for E-DII and pre-frailty. A significant association was found between DII and frailty. Compared with the lowest Q1, the highest Q5 of DTAC was negatively correlated with pre-frailty (OR = 0.66; 95% CI: 0.52-0.84; P for trend <0.001) and frailty (OR = 0.71; 95% CI: 0.50-0.1.03; P for trend <0.001). The DAQS yielded results similar to pre-frailty results (OR = 0.72; 95% CI: 0.58-0.89; P < 0.001). There was no evidence suggesting an association between DAQS and frailty. CONCLUSIONS More proinflammatory diets were linked to higher pre-frailty risk, whereas higher levels of dietary antioxidants were associated with lower pre-frailty and frailty risk among older Chinese adults.
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Affiliation(s)
- Xiaoxia Li
- School of Public Health of Ningxia Medical University, Yinchuan 750004, China; NHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan 750004, China; Key Laboratory of Environmental Factors and Chronic Disease Control, School of Public Health of Ningxia Medical University, Yinchuan 750004, China
| | - Qingan Wang
- School of Public Health of Ningxia Medical University, Yinchuan 750004, China; NHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan 750004, China; Key Laboratory of Environmental Factors and Chronic Disease Control, School of Public Health of Ningxia Medical University, Yinchuan 750004, China
| | - Tao Ma
- School of Public Health of Ningxia Medical University, Yinchuan 750004, China; Key Laboratory of Environmental Factors and Chronic Disease Control, School of Public Health of Ningxia Medical University, Yinchuan 750004, China
| | - Xiaoyu Chang
- School of Public Health of Ningxia Medical University, Yinchuan 750004, China
| | - Yixuan Xue
- School of Public Health of Ningxia Medical University, Yinchuan 750004, China; Key Laboratory of Environmental Factors and Chronic Disease Control, School of Public Health of Ningxia Medical University, Yinchuan 750004, China
| | - Yadi Zhang
- School of Public Health of Ningxia Medical University, Yinchuan 750004, China; Key Laboratory of Environmental Factors and Chronic Disease Control, School of Public Health of Ningxia Medical University, Yinchuan 750004, China
| | - Wanlu Liu
- School of Public Health of Ningxia Medical University, Yinchuan 750004, China; NHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan 750004, China; Key Laboratory of Environmental Factors and Chronic Disease Control, School of Public Health of Ningxia Medical University, Yinchuan 750004, China
| | - Yuhong Zhang
- School of Public Health of Ningxia Medical University, Yinchuan 750004, China; NHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan 750004, China; Key Laboratory of Environmental Factors and Chronic Disease Control, School of Public Health of Ningxia Medical University, Yinchuan 750004, China.
| | - Yi Zhao
- School of Public Health of Ningxia Medical University, Yinchuan 750004, China; NHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan 750004, China; Key Laboratory of Environmental Factors and Chronic Disease Control, School of Public Health of Ningxia Medical University, Yinchuan 750004, China.
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Amsalu E, Zhang Y, Harrison C, Nguyen TV, Nguyen TN. Exploring Frailty in the Intersection of Cardiovascular Disease and Cancer in Older People. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:7105. [PMID: 38063535 PMCID: PMC10706810 DOI: 10.3390/ijerph20237105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 11/04/2023] [Accepted: 11/21/2023] [Indexed: 12/18/2023]
Abstract
Advances in cardiovascular therapies and cancer treatments have resulted in longer patient survival. The coexistence of cancer and cardiovascular disease has been recognized as a complex clinical scenario. In addition to cardiovascular disease, older people with cancer are at greater risk of experiencing multimorbidity and geriatric syndromes, such as frailty. In older people, the concurrent presence of cancer and cardiovascular disease increases the risk of mortality, and the presence of frailty can exacerbate their conditions and hinder treatment effectiveness. Given the significant intersection among frailty, cardiovascular disease, and cancer in older people, this paper aims to provide an overview of the current research in this field and identifies gaps in the research to understand the burden and impact of frailty in these populations. While many studies have examined the prevalence and impact of frailty on adverse outcomes in patients with cancer or cardiovascular disease, evidence of frailty in individuals with both conditions is lacking. There is no universally accepted definition of frailty, which leads to inconsistencies in identifying and measuring frailty in older adults with cardiovascular disease and cancer. The frailty index seems to be a preferred frailty definition in studies of patients with cancer, while the frailty phenotype seems to be more commonly used in cardiovascular research. However, differences in how the frailty index was categorized and in how patients were classified as 'frail' depending on the cut points may have a negative effect on understanding the impact of frailty in the studied populations. This makes it challenging to compare findings across different studies and limits our understanding of the prevalence and impact of frailty in these populations. Addressing these research gaps will contribute to our understanding of the burden of frailty in older people with cardiovascular disease and cancer, and improve clinical care protocols in this vulnerable population.
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Affiliation(s)
- Erkihun Amsalu
- Westmead Applied Research Centre, Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2145, Australia;
| | - Ying Zhang
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2050, Australia; (Y.Z.); (C.H.)
| | - Christopher Harrison
- School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2050, Australia; (Y.Z.); (C.H.)
| | - Tan Van Nguyen
- Department of Interventional Cardiology, Thong Nhat Hospital, Ho Chi Minh City 70000, Vietnam;
- Department of Geriatrics & Gerontology, University of Medicine and Pharmacy, Ho Chi Minh City 70000, Vietnam
| | - Tu Ngoc Nguyen
- Westmead Applied Research Centre, Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2145, Australia;
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Qin YN, Zheng XP. Association of frailty index with congestive heart failure, all-cause and cardiovascular mortality among individuals with type 2 diabetes: a study from National Health and Nutrition Examination Surveys (NHANES), 1999-2018. Diabetol Metab Syndr 2023; 15:210. [PMID: 37875981 PMCID: PMC10594933 DOI: 10.1186/s13098-023-01165-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 09/18/2023] [Indexed: 10/26/2023] Open
Abstract
BACKGROUND Both type 2 diabetes mellitus (T2DM) and frailty are strongly associated with congestive heart failure (CHF). Individuals with T2DM and CHF have a high frailty burden. The association of frailty with HF, all-cause, and cardiovascular mortality in patients with T2DM has not been thoroughly explored. METHODS This study included 2894 adults with T2DM from the National Health and Nutrition Examination Survey (NHANES) database over ten cycles (1999-2018) and followed up for all-cause and cardiovascular mortality through 31 December 2019. The frailty index (FI) was calculated using a 46-item deficit model to assess frailty status. Weighted multivariable logistic regression was performed to explore the relationship between frailty and CHF in patients with T2DM. Weighted restricted cubic splines were used to evaluate the non-linear relationship between FI and outcome. All-cause mortality and cardiovascular mortality association with FI was assessed using the Kaplan-Meier curve and COX proportional hazards regression accounting for sampling weights. Subgroup and sensitivity analyses were performed to evaluate the robustness of the results. RESULTS After the adjustment of essential confounders, a higher frailty index in T2DM was associated with increased odds of CHF (odds ratio [OR] for per 1-SD increase, 2.02, 95% confidence interval [CI] 1.67-2.45; P < 0.0001). The presence of frailty T2DM (OR, 3.60; 95% CI 2.34-5.54; P < 0.0001) was associated with a significant increase in the prevalence of CHF compared to non-frailty T2DM in a fully adjusted model. During the median follow-up of 6.75 years, per 1-SD increase in FI was associated with a 41% higher risk of all-cause mortality and a 30% higher risk of cardiovascular mortality after being adjusted for all confounders. Similar results were observed when sensitivity analyses were performed. There was also a non-linear relationship between FI and all-cause mortality. In a weighted multivariate COX proportional model adjusted for full confounders, frailty T2DM increased all-cause (HR, 1.86; 95% CI 1.55-2.24; P < 0.0001) and cardiovascular (HR 1.66; 95% CI 1.18-2.33; P = 0.003) mortality and compared to non-frailty T2DM. The positive association of frailty index and all-cause mortality was only in participants without CHF. The positive association of frailty index and cardiovascular mortality was only in non-anti-diabetic drug users. CONCLUSIONS Frailty index in T2DM was positively associated with CHF in linear fashions. The Frailty index was positively correlated with all-cause and cardiovascular death in patients with T2DM. Frailty T2DM was positively associated with CHF, all-cause mortality, and cardiovascular mortality compared to non-frailty T2DM. Promoting frailty measurement and management in T2DM may be beneficial to reduce the burden of CHF and mortality.
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Affiliation(s)
- Yu-Nan Qin
- Department of Cardiology, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Street, Xi'an, 710061, Shaanxi, People's Republic of China
- Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, Shaanxi, China
| | - Xiao-Pu Zheng
- Department of Cardiology, The First Affiliated Hospital of Xi'an Jiaotong University, 277 Yanta West Street, Xi'an, 710061, Shaanxi, People's Republic of China.
- Key Laboratory of Molecular Cardiology of Shaanxi Province, Xi'an, Shaanxi, China.
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Bhandari R, Armenian SH, McCormack S, Natarajan R, Mostoufi-Moab S. Diabetes in childhood cancer survivors: emerging concepts in pathophysiology and future directions. Front Med (Lausanne) 2023; 10:1206071. [PMID: 37675136 PMCID: PMC10478711 DOI: 10.3389/fmed.2023.1206071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 08/10/2023] [Indexed: 09/08/2023] Open
Abstract
With advancements in cancer treatment and supportive care, there is a growing population of childhood cancer survivors who experience a substantial burden of comorbidities related to having received cancer treatment at a young age. Despite an overall reduction in the incidence of most chronic health conditions in childhood cancer survivors over the past several decades, the cumulative incidence of certain late effects, in particular diabetes mellitus (DM), has increased. The implications are significant, because DM is a key risk factor for cardiovascular disease, a leading cause of premature death in childhood cancer survivors. The underlying pathophysiology of DM in cancer survivors is multifactorial. DM develops at younger ages in survivors compared to controls, which may reflect an "accelerated aging" phenotype in these individuals. The treatment-related exposures (i.e., chemotherapy, radiation) that increase risk for DM in childhood cancer survivors may be more than additive with established DM risk factors (e.g., older age, obesity, race, and ethnicity). Emerging research also points to parallels in cellular processes implicated in aging- and cancer treatment-related DM. Still, there remains marked inter-individual variability regarding risk of DM that is not explained by demographic and therapeutic risk factors alone. Recent studies have highlighted the role of germline genetic risk factors and epigenetic modifications that are associated with risk of DM in both the general and oncology populations. This review summarizes our current understanding of recognized risk factors for DM in childhood cancer survivors to help inform targeted approaches for disease screening, prevention, and treatment. Furthermore, it highlights the existing scientific gaps in understanding the relative contributions of individual therapeutic exposures and the mechanisms by which they exert their effects that uniquely predispose this population to DM following cancer treatment.
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Affiliation(s)
- Rusha Bhandari
- Department of Pediatrics, City of Hope, Duarte, CA, United States
- Department of Population Sciences, City of Hope, Duarte, CA, United States
| | - Saro H. Armenian
- Department of Pediatrics, City of Hope, Duarte, CA, United States
- Department of Population Sciences, City of Hope, Duarte, CA, United States
| | - Shana McCormack
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Rama Natarajan
- Department of Diabetes Complications and Metabolism, Arthur Riggs Diabetes and Metabolism Research Institute, City of Hope, Duarte, CA, United States
| | - Sogol Mostoufi-Moab
- Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, PA, United States
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Li X, Wang Q, Guo L, Xue Y, Dang Y, Liu W, Yin T, Zhang Y, Zhao Y. Associations between Low-Carbohydrate Diets and Low-Fat Diets with Frailty in Community-Dwelling Aging Chinese Adults. Nutrients 2023; 15:3084. [PMID: 37513502 PMCID: PMC10383029 DOI: 10.3390/nu15143084] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 06/28/2023] [Accepted: 06/30/2023] [Indexed: 07/30/2023] Open
Abstract
Frailty is a major health issue associated with aging. Diet affects frailty status; however, studies on the associations between the low-carbohydrate diet (LCD) score, low-fat diet (LFD) score and frailty in older Chinese adults are scarce. This study aimed to examine the associations between the LCD score, LFD score and risk of frailty in older Chinese adults. We analyzed data from 6414 participants aged ≥ 60 years from the China Northwest Natural Population Cohort: Ningxia Project. Frailty was measured using the frailty index (FI), calculated from 28 items comprising diseases, behavioral disorders and blood biochemistry and classified as robust, pre-frail and frail. LCD and LFD scores were calculated using a validated food frequency questionnaire (FFQ). Multiple logistic regression models were used to evaluate associations between LCD, LFD scores and frail or pre-frail status after adjusting for confounders. Participants' mean age was 66.60 ± 4.15 years, and 47.8% were male. After adjusting for age, sex, educational level, drinking, smoking, BMI, physical activity and total energy, compared to the lowest quartile (Q1: reference), the odds ratios (ORs) for pre-frail and frail status in the highest quartile (Q4) of LCD score were 0.73 (95% confidence intervals: 0.61-0.88; p for trend = 0.017) and 0.73 (95%CI: 0.55-0.95; p for trend = 0.035), respectively. No significant associations were observed between LFD score and either pre-frail or frail status. Our data support that lower-carbohydrate diets were associated with lower pre-frail or frail status, particularly in females, while diets lower in fat were not significantly associated with the risk of either pre-frail or frail status in older Chinese adults. Further intervention studies are needed to confirm these results.
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Affiliation(s)
- Xiaoxia Li
- School of Public Health, Ningxia Medical University, Yinchuan 750004, China; (X.L.)
- NHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan 750004, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan 750004, China
| | - Qingan Wang
- School of Public Health, Ningxia Medical University, Yinchuan 750004, China; (X.L.)
- NHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan 750004, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan 750004, China
| | - Linfeng Guo
- School of Public Health, Ningxia Medical University, Yinchuan 750004, China; (X.L.)
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan 750004, China
| | - Yixuan Xue
- School of Public Health, Ningxia Medical University, Yinchuan 750004, China; (X.L.)
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan 750004, China
| | - Yuanyuan Dang
- School of Public Health, Ningxia Medical University, Yinchuan 750004, China; (X.L.)
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan 750004, China
| | - Wanlu Liu
- School of Public Health, Ningxia Medical University, Yinchuan 750004, China; (X.L.)
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan 750004, China
| | - Ting Yin
- School of Public Health, Ningxia Medical University, Yinchuan 750004, China; (X.L.)
- NHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan 750004, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan 750004, China
| | - Yuhong Zhang
- School of Public Health, Ningxia Medical University, Yinchuan 750004, China; (X.L.)
- NHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan 750004, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan 750004, China
| | - Yi Zhao
- School of Public Health, Ningxia Medical University, Yinchuan 750004, China; (X.L.)
- NHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan 750004, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan 750004, China
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Guo X, Zhao D, Meng J, Hu W, Wu B, Wang X, Su W, Meng M, Qu G, Sun Y. Association of a mixture of phthalates and phenols with frailty among middle-aged and older adults: A population-based cross-sectional study. CHEMOSPHERE 2023:139144. [PMID: 37302498 DOI: 10.1016/j.chemosphere.2023.139144] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 06/01/2023] [Accepted: 06/04/2023] [Indexed: 06/13/2023]
Abstract
BACKGROUND Frailty is a complex geriatric syndrome caused by degenerative changes in the body or various chronic diseases. The use of personal care and consumer products is associated with a wide range of health outcomes, but its relationship with frailty remains unknown. Therefore, our primary aim was to explore the potential links between exposure to phenols and phthalates, either separately or in combination, and frailty. METHODS The exposure levels of phthalates and phenols were evaluated through the measurement of metabolites in urine samples. Frailty state was assessed by a 36-item frailty index with values ≥ 0.25 indicating frailty. Weighted logistic regression was used to explore the relationship between individual chemical exposure and frailty. In addition, multi-pollutant strategies (WQS, Qgcomp, BKMR) were used to examine the joint effect of chemical mixture on frailty. A series of subgroup analyses and sensitivity analyses were conducted as well. RESULTS In the multivariate logistic regression model, each unit increase in natural log-transformed BPA (OR: 1.21; 95%CI: 1.04, 1.40), MBP (OR: 1.25; 95%CI: 1.07, 1.46), MBzP (OR: 1.18; 95%CI: 1.03, 1.36), and MiBP (OR: 1.19; 95%CI: 1.03, 1.37) were significantly associated with higher odds of frailty. The results of the WQS and Qgcomp indicated that increasing quartiles of chemical mixture was associated with odds of frailty with ORs of 1.29 (95%CI: 1.01, 1.66) and 1.37 (95%CI: 1.06, 1.76). The weight of MBzP is dominant in both the WQS index and the positive weight of Qgcomp. In the BKMR model, the cumulative effect of chemical mixture was positively correlated with the prevalence of frailty. CONCLUSIONS In summary, higher levels of BPA, MBP, MBzP, and MiBP are significantly associated with higher odds of frailty. Our study provides preliminary evidence that phenol and phthalate biomarker mixture is positively associated with frailty, with MBzP contributing most to the positive association.
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Affiliation(s)
- Xianwei Guo
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Dongdong Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China; The First Affiliated Hospital of Anhui Medical University, No 218 Jixi Road, Hefei 230022, Anhui, China
| | - Jia Meng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Wenjing Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Birong Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Xingyue Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Wenqi Su
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Muzi Meng
- UK Program Site, American University of the Caribbean School of Medicine, Vernon Building Room 64, Sizer St, Preston PR1 1JQ, United Kingdom; Bronxcare Health System, 1650 Grand Concourse, The Bronx, NY 10457, USA
| | - Guangbo Qu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China.
| | - Yehuan Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China.
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