Neslihan Doğan, Sibel Akın, Ezgi Akandere Barlas, Neziha Özlem Deveci, Ayşe Adile Öktem, Yavuz Sultan Selim Akgül, Derya Koçaslan, Burcu Eren Cengiz, Selçuk Karakoyun, Emrullah Doğan
{"title":"衰弱和代谢综合征对老年人死亡率的影响:一项为期五年的前瞻性队列研究。","authors":"Neslihan Doğan, Sibel Akın, Ezgi Akandere Barlas, Neziha Özlem Deveci, Ayşe Adile Öktem, Yavuz Sultan Selim Akgül, Derya Koçaslan, Burcu Eren Cengiz, Selçuk Karakoyun, Emrullah Doğan","doi":"10.1177/15578518251371527","DOIUrl":null,"url":null,"abstract":"<p><p><b><i>Background:</i></b> Frailty and metabolic syndrome (MetS) are common conditions in older adults and may share overlapping pathophysiological pathways that impact mortality. <b><i>Objectives:</i></b> We aimed to investigate the effect of frailty and MetS on mortality the older adults. <b><i>Methods:</i></b> This study included 1100 outpatients aged ≥60 years. We followed the participants for five years, during which 13.2% of them died. The status of MetS was assessed using the criteria established by the National Cholesterol Education Program Third Adult Treatment Panel. We evaluated frailty using the FRAIL scale. <b><i>Results:</i></b> Mean age was 71.57 ± 7.09 years. The frail group had a significantly higher mean age (73.13 ± 7.75) compared to the nonfrail (70.20 ± 6.23) and prefrail (70.86 ± 6.73) groups (<i>P</i> < 0.001). In all three groups, women made up the majority, but in the frail group (76.9%), there were significantly more women than other groups (<i>P</i> < 0.001). MetS was more prevalent in prefrail and frail groups compared to those who were nonfrail (nonfrail: %59.1, prefrail: %71, frail: %70.2) (<i>P</i> = 0.010). The frail group showed a higher frequency of cognitive impairment, depressive mood, malnutrition, and dependency. The overall mortality rate for the sample was 13.2%, as anticipated, the frail group has a significantly higher mortality rate (23.4%) compared to the other two groups (nonfrail: 5.3%, prefrail: 10.2%) (<i>P</i> < 0.001). The Cox proportional hazards model indicated that the frail group demonstrated an increased mortality risk over five years, even after adjusting for age, sex, and metabolic disorders (hazard ratio: 4.44, 95% confidence interval = 2.19-9.02, <i>P</i> < 0.001). <b><i>Conclusions:</i></b> Frailty was a more accurate predictor of mortality than MetS, regardless of age.</p>","PeriodicalId":18405,"journal":{"name":"Metabolic syndrome and related disorders","volume":" ","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Impact of Frailty and Metabolic Syndrome on Mortality Among Older Adults: A Five-Year Prospective Cohort Study.\",\"authors\":\"Neslihan Doğan, Sibel Akın, Ezgi Akandere Barlas, Neziha Özlem Deveci, Ayşe Adile Öktem, Yavuz Sultan Selim Akgül, Derya Koçaslan, Burcu Eren Cengiz, Selçuk Karakoyun, Emrullah Doğan\",\"doi\":\"10.1177/15578518251371527\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b><i>Background:</i></b> Frailty and metabolic syndrome (MetS) are common conditions in older adults and may share overlapping pathophysiological pathways that impact mortality. <b><i>Objectives:</i></b> We aimed to investigate the effect of frailty and MetS on mortality the older adults. <b><i>Methods:</i></b> This study included 1100 outpatients aged ≥60 years. We followed the participants for five years, during which 13.2% of them died. The status of MetS was assessed using the criteria established by the National Cholesterol Education Program Third Adult Treatment Panel. We evaluated frailty using the FRAIL scale. <b><i>Results:</i></b> Mean age was 71.57 ± 7.09 years. The frail group had a significantly higher mean age (73.13 ± 7.75) compared to the nonfrail (70.20 ± 6.23) and prefrail (70.86 ± 6.73) groups (<i>P</i> < 0.001). In all three groups, women made up the majority, but in the frail group (76.9%), there were significantly more women than other groups (<i>P</i> < 0.001). MetS was more prevalent in prefrail and frail groups compared to those who were nonfrail (nonfrail: %59.1, prefrail: %71, frail: %70.2) (<i>P</i> = 0.010). The frail group showed a higher frequency of cognitive impairment, depressive mood, malnutrition, and dependency. The overall mortality rate for the sample was 13.2%, as anticipated, the frail group has a significantly higher mortality rate (23.4%) compared to the other two groups (nonfrail: 5.3%, prefrail: 10.2%) (<i>P</i> < 0.001). The Cox proportional hazards model indicated that the frail group demonstrated an increased mortality risk over five years, even after adjusting for age, sex, and metabolic disorders (hazard ratio: 4.44, 95% confidence interval = 2.19-9.02, <i>P</i> < 0.001). <b><i>Conclusions:</i></b> Frailty was a more accurate predictor of mortality than MetS, regardless of age.</p>\",\"PeriodicalId\":18405,\"journal\":{\"name\":\"Metabolic syndrome and related disorders\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2025-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Metabolic syndrome and related disorders\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/15578518251371527\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Metabolic syndrome and related disorders","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/15578518251371527","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
The Impact of Frailty and Metabolic Syndrome on Mortality Among Older Adults: A Five-Year Prospective Cohort Study.
Background: Frailty and metabolic syndrome (MetS) are common conditions in older adults and may share overlapping pathophysiological pathways that impact mortality. Objectives: We aimed to investigate the effect of frailty and MetS on mortality the older adults. Methods: This study included 1100 outpatients aged ≥60 years. We followed the participants for five years, during which 13.2% of them died. The status of MetS was assessed using the criteria established by the National Cholesterol Education Program Third Adult Treatment Panel. We evaluated frailty using the FRAIL scale. Results: Mean age was 71.57 ± 7.09 years. The frail group had a significantly higher mean age (73.13 ± 7.75) compared to the nonfrail (70.20 ± 6.23) and prefrail (70.86 ± 6.73) groups (P < 0.001). In all three groups, women made up the majority, but in the frail group (76.9%), there were significantly more women than other groups (P < 0.001). MetS was more prevalent in prefrail and frail groups compared to those who were nonfrail (nonfrail: %59.1, prefrail: %71, frail: %70.2) (P = 0.010). The frail group showed a higher frequency of cognitive impairment, depressive mood, malnutrition, and dependency. The overall mortality rate for the sample was 13.2%, as anticipated, the frail group has a significantly higher mortality rate (23.4%) compared to the other two groups (nonfrail: 5.3%, prefrail: 10.2%) (P < 0.001). The Cox proportional hazards model indicated that the frail group demonstrated an increased mortality risk over five years, even after adjusting for age, sex, and metabolic disorders (hazard ratio: 4.44, 95% confidence interval = 2.19-9.02, P < 0.001). Conclusions: Frailty was a more accurate predictor of mortality than MetS, regardless of age.
期刊介绍:
Metabolic Syndrome and Related Disorders is the only peer-reviewed journal focusing solely on the pathophysiology, recognition, and treatment of this major health condition. The Journal meets the imperative for comprehensive research, data, and commentary on metabolic disorder as a suspected precursor to a wide range of diseases, including type 2 diabetes, cardiovascular disease, stroke, cancer, polycystic ovary syndrome, gout, and asthma.
Metabolic Syndrome and Related Disorders coverage includes:
-Insulin resistance-
Central obesity-
Glucose intolerance-
Dyslipidemia with elevated triglycerides-
Low HDL-cholesterol-
Microalbuminuria-
Predominance of small dense LDL-cholesterol particles-
Hypertension-
Endothelial dysfunction-
Oxidative stress-
Inflammation-
Related disorders of polycystic ovarian syndrome, fatty liver disease (NASH), and gout