<b>Objectives</b><br/>We investigated differences in high-sensitivity C-reactive protein (hs-CRP) levels by age group according to working hours, socioeconomic level, health behavior and status, and occupational class, and aimed to identify factors affecting hs-CRP levels in various age groups using data from the Korean National Health and Nutrition Examination from 2016 to 2018. Methods: The study included a total of 4,786 male wage workers across the nation, aged between 19 and 65. Data from 4,674 workers were analyzed using multiple logistic regression analysis. Results: Obesity, metabolic syndrome, and weekly working hours were associated with hs-CRP, a biomarker of inflammation. Participants with a body mass index (BMI) ≥25.0 kg/m2 showed significantly higher hs-CRP levels than those with a BMI 23.0 to 25.0 kg/m2. Workers with high-risk drinking and metabolic syndrome showed significantly higher hs-CRP levels in the 50 to 65 years group. Obesity, walking 0 to 149 min/wk, and working ≥61 hours a week were associated with significantly higher hs-CRP levels in the 35 to 49 years group. The factors that significantly affected hs-CRP levels were different among age groups. Conclusion: Plans to adjust working hours should be considered health behaviors, such as drinking and physical activity, and health conditions, such as metabolic syndrome and obesity, according to workers’ age.
<b>Objectives</b><br/>This study investigated the relationship between living arrangements and metabolic syndrome (MetS) risk in the adult population in the Republic of Korea. Methods: The samples were derived from the data collected during the second year of the seventh Korea National Health and Nutrition Examination Survey. The study targeted a total of 6,265 adults who were aged 20 years and above, and multiple logistic regression analysis was conducted. Living arrangements were classified into 4 categories: single-person households, 1-generation households, 2-generation households, and other family types. MetS was identified by the presence of at least 3 out of the 5 National Cholesterol Education Program Adult Treatment Panel III criteria. Results: For men, the odds ratio (ORs) for MetS in 1- and 2-generation households, compared to single-person households, were 0.92 (95% confidence interval [CI], 0.55–1.54) and 0.97 (95% CI, 0.58–1.62), respectively. The OR for other types of households was 0.96 (95% CI, 0.79–1.17). For women, the OR for MetS in 1- and 2-generation households, compared to single-person households, were 1.52 (95% CI, 1.15–2.01) and 1.29 (95% CI, 1.01–1.67), respectively. Conclusion: Our study suggests that a national strategy involving tailored interventions for women living in high-risk conditions is necessary to reduce the risk of MetS in Korean women.
<sec>
<b>Objectives</b>
<p>The aim of this study was to evaluate whether the waist circumference of patients with chronic obstructive pulmonary disease (COPD), had an impact on lung function.</p></sec>
<sec>
<b>Methods</b>
<p>There were 180 patients with COPD recruited into this prospective cross-sectional study. The age, weight, body mass index and waist circumference (WC) were measured. Spirometry parameters including forced vital capacity (FVC), and forced expiratory volume in the first second (FEV1), were measured and FEV1/FVC calculated.</p></sec>
<sec>
<b>Results</b>
<p>The mean FEV1/FVC in both normal weight and overweight patients, did not statistically significantly correlate with WC. The COPD assessment test, positively correlated with WC ( <italic>p</italic> = 0.031). A positive correlation with body mass index ( <italic>p</italic> < 0.001), smoking ( <italic>p</italic> = 0.027), and global initiative for chronic obstructive lung disease score ( <italic>p</italic> = 0.009), were observed to positively associate with WC. WC, age, C-reactive protein, duration of disease, and gender (male), were observed to be statistically significant risk factors for the severity of COPD.</p></sec>
<sec>
<b>Conclusion</b>
<p>WC was not observed to impact upon lung function in this study but it was a predictive factor for COPD severity in patients.</p></sec>
Citations
Citations to this article as recorded by
Lung function parameters in overweight patients with COPD in relation to body mass index and waist circumference and impact on quality of life Zunaira Nawaz, Muhammad Ashraf Jahangir, Zille Huma Journal of International Medical Research.2024;[Epub] CrossRef
The role of abdominal obesity in the development of cardiopulmonary disorders in aluminum industry workers Egor S. Filimonov, Olga Yu. Korotenko, Evgeniya V. Ulanova Hygiene and sanitation.2023; 102(4): 328. CrossRef
A study on the correlation of chronic obstructive pulmonary disease with metabolic syndrome and its components Aishee Bhattacharyya, Avas Chandra Roy, Subrata Basu, Krishanko Das Journal of Research in Applied and Basic Medical S.2023; 9(4): 243. CrossRef
Blood Levels of Indicators of Lower Respiratory Tract Damage in Chronic Bronchitis in Patients with Abdominal Obesity Elena V. Kashtanova, Yana V. Polonskaya, Evgeniia V. Striukova, Liliia V. Shcherbakova, Evgenii A. Kurtukov, Viktoriya S. Shramko, Ekaterina M. Stakhneva, Yulia I. Ragino Diagnostics.2022; 12(2): 299. CrossRef
Prevalence of Metabolic Syndrome in Chronic Obstructive Pulmonary Disease and its Correlation with Body Mass Index, Airflow Obstruction, Dyspnea, and Exercise Index and C-Reactive Protein D. Suresh Kumar, Richard Samuel, Viola Savy DSouza, Madhu Keshava Bangera Indian Journal of Respiratory Care.2022; 11(4): 314. CrossRef
Prevalence of chronic bronchitis against a background of abdominal obesity in young people aged 25–44 in Novosibirsk Yu. I. Ragino, E. A. Kurtukov, D. V. Denisova, Ya. V. Polonskaya, L. V. Shcherbakova Bulletin of Siberian Medicine.2021; 20(1): 105. CrossRef
Abdominal obesity and the level of markers of lower respiratory tract damage in patients with chronic bronchitis E.V. Kashtanova, Ya.V. Polonskaya, L.V. Scherbakova, I.I. Logvinenko, E.F. Kurtukov, D.V. Denisova, Yu.I. Ragino Profilakticheskaya meditsina.2021; 24(5): 35. CrossRef
<sec><b>Objectives</b><p>This study aimed to identify the sex-based association between depression and the development of metabolic syndrome (Mets) among middle-aged and older Korean adults.</p></sec><sec><b>Methods</b><p>A cross-sectional design was used for the secondary analysis of the 2010–2014 Korean National Health and Nutrition Examination Survey. Data from 1,938 men and 2,404 women were analyzed. Mets was defined in accordance with the criteria used for clinical diagnosis. Depression was assessed with a question about having clinical depression. The association between depression and the development of Mets with or without adjustment for covariates was identified by conducting logistic regression analysis on weighted data using a complex sample procedure.</p></sec><sec><b>Results</b><p>More women than men had depression. Before covariate adjustment, depression was significantly associated with the development of Mets among women (odds ratio [OR], 1.586; 95% confidence interval [CI], 1.152–2.183) and with a higher triglyceride level among men (OR, 1.679; 95% CI, 1.001–2.818). After covariate adjustment; depression was significantly associated with higher waist circumference among women (adjusted OR [AOR], 1.532; 95% CI, 1.046–2.245) and higher triglyceride level (AOR, 1.511; 95% CI, 1.029–2.219) than was Mets. Conversely, depression did not have significant effects on the development of Mets among men.</p></sec><sec><b>Conclusion</b><p>Depression was associated with the development of Mets among middle-aged and older Korean women. Healthcare providers in communities should assess women with depression for the presence of Mets components. Interventions for relieving depressive symptoms should also be provided to women at risk for Mets.</p></sec>
Citations
Citations to this article as recorded by
Association between the dietary inflammatory index and depressive symptoms in adults with metabolic syndrome: a cross-sectional study from the NHANES database Jinshun You, Shujie Xia Frontiers in Nutrition.2025;[Epub] CrossRef
Relationship between metabolic syndrome and depression: A study based on Rafsanjan Youth Cohort Study Mitra Abbasifard, Gholamreza Bazmandegan, Hamid Ostadebrahimi, Fatemeh Foroutanian, Zahra Kamiab Journal of Affective Disorders.2024; 361: 139. CrossRef
The relationship between lifestyle risk factors and depression in Korean older adults: a moderating effect of gender Shinuk Kim BMC Geriatrics.2022;[Epub] CrossRef
A study on the effect of poor housing on self-esteem, depression: Focusing on comparison of the people with and without disabilities Sul Hee Yoo, Ji Hye Kim, Jun Yim Korean Journal of Health Education and Promotion.2022; 39(5): 15. CrossRef
Calorie restriction in combination with prebiotic supplementation in obese women with depression: effects on metabolic and clinical response Elnaz Vaghef-Mehrabany, Fatemeh Ranjbar, Mohammad Asghari-Jafarabadi, Sonia Hosseinpour-Arjmand, Mehrangiz Ebrahimi-Mameghani Nutritional Neuroscience.2021; 24(5): 339. CrossRef
The relationship between depression and risk of metabolic syndrome: a meta‐analysis of observational studies Yousef Moradi, Ahmed N Albatineh, Hassan Mahmoodi, Reza Ghanei Gheshlagh Clinical Diabetes and Endocrinology.2021;[Epub] CrossRef
Relationship between Vitamin Intake and Health-Related Quality of Life in a Japanese Population: A Cross-Sectional Analysis of the Shika Study Nobuhiko Narukawa, Hiromasa Tsujiguchi, Akinori Hara, Sakae Miyagi, Takayuki Kannon, Keita Suzuki, Yukari Shimizu, Thao Thi Thu Nguyen, Kim Oanh Pham, Fumihiko Suzuki, Atsushi Asai, Takashi Amatsu, Tomoko Kasahara, Masateru Miyagi, Masaharu Nakamura, Yohe Nutrients.2021; 13(3): 1023. CrossRef
The Contribution of Material, Behavioral, Psychological, and Social-Relational Factors to Income-Related Disparities in Cardiovascular Risk Among Older Adults Chiyoung Lee, Qing Yang, Eun-Ok Im, Eleanor Schildwachter McConnell, Sin-Ho Jung, Hyeoneui Kim Journal of Cardiovascular Nursing.2021; 36(4): E38. CrossRef
Depressive symptoms and 5-year incident metabolic syndrome among older adults Qian Wu, Yi-Ying Hua, Qing-Hua Ma, Yong Xu, Xing Chen, Chen-Wei Pan Scientific Reports.2021;[Epub] CrossRef
The Effect of Depression on Metabolic Syndrome and Its Components among Korean Adults Mee Young Im Korean Journal of Stress Research.2021; 29(4): 235. CrossRef
Relationship between Vitamin Intake and Depressive Symptoms in Elderly Japanese Individuals: Differences with Gender and Body Mass Index Thao Nguyen, Hiromasa Tsujiguchi, Yasuhiro Kambayashi, Akinori Hara, Sakae Miyagi, Yohei Yamada, Haruki Nakamura, Yukari Shimizu, Daisuke Hori, Fumihiko Suzuki, Koichiro Hayashi, Hiroyuki Nakamura Nutrients.2017; 9(12): 1319. CrossRef
Depression among Middle-aged Persons Hae-Wol Cho, Chaeshin Chu Osong Public Health and Research Perspectives.2017; 8(2): 105. CrossRef
<b>Objectives</b><br/>
The aim of this study was to examine the composition of metabolic syndrome (MetS) components among middle-aged and older Koreans.<br/><b>Methods</b><br/>
A total of 263 participants (age 40 + years) in a lifestyle modification intervention program who met the MetS definition of National Cholesterol Education Program (NCEP) – Adult Treatment Panel (ATP) III criteria were included in the study. The frequent patterns and clustering of MetS components were investigated. Clustering of changes in individual components, through a lifestyle modification intervention, was also identified. All characteristics were stratified by and compared between sexes.<br/><b>Results</b><br/>
Approximately 80% of the participants had three of five MetS risk factors at baseline. The prevalence of each risk differed by sex. MetS composition patterns that do not include low high-density lipoprotein (HDL) cholesterol were more noticeable in men because of the low prevalence of low HDL cholesterol. In women, with higher prevalence of low HDL cholesterol, more patterns that include low HDL cholesterol were observed. The most common combination was “elevated blood pressure + abdominal obesity + impaired fasting glucose” in both sexes. Clustering of MetS risks was also found with most of the frequent combinations of MetS components. Through the lifestyle intervention, the greatest change was observed in HDL cholesterol among men and blood pressure among women. Triglycerides and HDL cholesterol were likely to be improved with blood pressure in men and abdominal obesity in women.<br/><b>Conclusion</b><br/>
Differences in the prevalent patterns of MetS compositions were observed prior to and after the intervention, along with during-intervention changes. It is recommended that intervention strategies and guidelines for MetS management consider the MetS composition patterns for effectiveness.
Citations
Citations to this article as recorded by
Development and Evaluation of a Blended Self-Management Program for Metabolic Syndrome in Patients With Rheumatic Diseases BoAe Im, HyunSoo Oh, SooHyun Kim, HyeSun Jeong, WhaSook Seo Health Education & Behavior.2024; 51(4): 625. CrossRef
Gender Differences of Health Behaviors in the Risk of Metabolic Syndrome for Middle-Aged Adults: A National Cross-Sectional Study in South Korea Jaehee Yoon, Jeewuan Kim, Heesook Son International Journal of Environmental Research an.2021; 18(7): 3699. CrossRef
Evaluation of the physical activity level, nutrition quality, and depression in patients with metabolic syndrome İsmet Kazaz, Ender Angin, Seray Kabaran, Gözde İyigün, Berkiye Kirmizigil, Mehtap Malkoç Medicine.2018; 97(18): e0485. CrossRef
Effects of prolonged exercise versus multiple short exercise sessions on risk for metabolic syndrome and the atherogenic index in middle-aged obese women: a randomised controlled trial JinWook Chung, KwangJun Kim, Jeeyoung Hong, Hyoun-Joong Kong BMC Women's Health.2017;[Epub] CrossRef
Health related behavior patterns and associated factors among marriage immigrant women using latent class analysis Wonsup Cho, Seunghyun Yoo, Hyekyeong Kim Korean Journal of Health Education and Promotion.2015; 32(5): 17. CrossRef
Depression among Korean Adults with Type 2 Diabetes Mellitus: Ansan-Community-Based Epidemiological Study Chan Young Park, So Young Kim, Jong Won Gil, Min Hee Park, Jong-Hyock Park, Yeonjung Kim Osong Public Health and Research Perspectives.2015; 6(4): 224. CrossRef
<b>Objectives</b><br/>
An increase in serum ferritin and levels of the cleaved soluble form of transferrin receptor (sTfR) are related to several metabolic conditions. We evaluated the relationship between body iron status indicators, including ferritin and sTfR, and insulin resistance and metabolic syndrome (MetS) in Korean children.<br/><b>Methods</b><br/>
A cross-sectional study was conducted on 1350 children in Korea. Anthropometrical parameters; lipid profiles; levels of glucose, insulin, and leptin; and iron status indicators, including sTfR, serum ferritin, serum iron, total iron-binding capacity (TIBC), and transferrin saturation (TS), were analyzed.<br/><b>Results</b><br/>
Although serum sTfR levels were significantly higher in boys than in girls (2.20 vs. 2.06 mg/L, <i>p</i> < 0.0001), serum iron and TS were higher in girls than in boys (101.38 vs. 95.77 mg/L, <i>p</i> = 0.027 and 30.15 vs. 28.91%, <i>p</i> = 0.04, respectively). Waist circumference (WC) and leptin were most significantly associated with body iron indicators when adjusted for age and sex. After adjusting for age, sex, and WC, sTfR levels showed the strongest positive association with leptin levels (<i>p</i> = 0.0001). Children in the highest tertile for homeostasis model assessment-insulin resistance (HOMA-IR) had higher TIBC (<i>p</i> = 0.0005) and lower serum iron (<i>p</i> = 0.0341), and the lowest TS (<i>p</i> < 0.0001) after adjustment for confounders. Children with higher sTfR were most significantly associated with risk of MetS compared with those lower sTfR (<i>p</i> = 0.0077).<br/><b>Conclusion</b><br/>
The associations of serum levels of iron metabolism markers with leptin levels, HOMA-IR, and MetS suggest that iron-related factors may involve insulin resistance and MetS.
Citations
Citations to this article as recorded by
The Interplay Between Iron Metabolism and Insulin Resistance: A Key Factor in Optimizing Obesity Management in Children and Adolescents Valeria Calcaterra, Hellas Cena, Federica Bolpagni, Silvia Taranto, Alessandra Vincenti, Nagaia Madini, Marianna Diotti, Antonia Quatrale, Gianvincenzo Zuccotti Nutrients.2025; 17(7): 1211. CrossRef
Relationship between trajectories of dietary iron intake and risk of type 2 diabetes mellitus: evidence from a prospective cohort study Ruoting Wang, Yingxin Liu, Lehana Thabane, Ivan Olier, Likang Li, Sandra Ortega-Martorell, Gregory Y.H. Lip, Guowei Li Nutrition Journal.2024;[Epub] CrossRef
Serum iron concentration and leptin inversely relate, partially mediated by body mass index in American adults Mi Chen, Yuebai Chen, Chao Li Nutrition Research.2024; 124: 1. CrossRef
Association between serum ferritin level and lipid profile among diabetic patients: A retrospective cohort study Saif Aboud M Alqahtani, Mohammed Abadi Alsaleem, Ramy Mohamed Ghazy Medicine.2024; 103(13): e37631. CrossRef
Relationship between Serum Ferritin Level and Dyslipidemia in US Adults Based on Data from the National Health and Nutrition Examination Surveys 2017 to 2020 Guohua Li, Wenlu Yu, Hexiang Yang, Xinyue Wang, Tianyou Ma, Xiaoqin Luo Nutrients.2023; 15(8): 1878. CrossRef
Iron status and cardiometabolic risk in children Milton Fabian Suárez-Ortegón, Anna Prats-Puig, Judit Bassols, Gemma Carreras-Badosa, Stela McLachlan, Sarah H. Wild, Abel López-Bermejo, Jose Manuel Fernández-Real Diabetes Research and Clinical Practice.2023; 202: 110795. CrossRef
Association between biomarkers of iron status and cardiometabolic risk in Spanish children aged 9–10 years. The ELOIN study Honorato Ortiz-Marrón, Gloria Cabañas Pujadas, Encarnación Donoso Navarro, Mar Burreros García, María Isabel Herreros Álvaro, Alma María Mejía Fernández de Velasco, Ana Cornejo Gutiérrez, Iñaki Galán European Journal of Pediatrics.2023; 182(12): 5649. CrossRef
Serum ferritin levels among schoolchildren and its correlation with lipid profile and adiposity Mariana Orta-Duarte, Rosa del Carmen Vázquez-Zapien, Hugo Ventura-Cisneros, Mario del Toro-Equihua, Benjamin Trujillo-Hernández, Carmen Alicia Sánchez-Ramírez Archivos Latinoamericanos de Nutrición.2021; 70(3): 155. CrossRef
Ferritin levels throughout childhood and metabolic syndrome in adolescent stage M.F. Suárez-Ortegón, E. Blanco, S. McLachlan, J.M. Fernandez-Real, R. Burrows, S.H. Wild, B. Lozoff, S. Gahagan Nutrition, Metabolism and Cardiovascular Diseases.2019; 29(3): 268. CrossRef
The immune-nutrition interplay in aging – facts and controversies Iftikhar Alam, Ali M. Almajwal, Wajid Alam, Ibrar Alam, Niamat Ullah, Mahmoud Abulmeaaty, Suhail Razak, Saleem Khan, Graham Pawelec, Parvez Iqbal Paracha Nutrition and Healthy Aging.2019; 5(2): 73. CrossRef
Iron metabolism and its association with dyslipidemia risk in children and adolescents: a cross-sectional study Yanna Zhu, Baoting He, Yunjun Xiao, Yajun Chen Lipids in Health and Disease.2019;[Epub] CrossRef
Standardized Aronia melanocarpa Extract as Novel Supplement against Metabolic Syndrome: A Rat Model Vladimir JAKOVLJEVIC, Petar Milic, Jovana Bradic, Jovana Jeremic, Vladimir Zivkovic, Ivan Srejovic, Tamara Nikolic Turnic, Isidora Milosavljevic, Nevena Jeremic, Sergey Bolevich, Milica Labudovic Borovic, Miroslav Mitrovic, Vesna Vucic International Journal of Molecular Sciences.2018; 20(1): 6. CrossRef
High-fat diet–induced plasma protein and liver changes in obese rats can be attenuated by melatonin supplementation Prapimpun Wongchitrat, Paul Klosen, Supitcha Pannengpetch, Kuntida Kitidee, Piyarat Govitrapong, Chartchalerm Isarankura-Na-Ayudhya Nutrition Research.2017; 42: 51. CrossRef
Relationship between Serum Ferritin Levels and Dyslipidemia in Korean Adolescents Young-Eun Kim, Do-Hoon Kim, Yong-Kyun Roh, Sang-Yhun Ju, Yeo-Joon Yoon, Ga-Eun Nam, Hyo-Yun Nam, Jun-Seok Choi, Jong-Eun Lee, Jung-Eun Sang, Kyungdo Han, Yong-Gyu Park, David O. Carpenter PLOS ONE.2016; 11(4): e0153167. CrossRef
Investigation of the relationship between hemoglobin and serum iron levels and early-phase insulin secretion in non-diabetic subjects Masanori Shimodaira, Shinji Okaniwa, Tomohiro Nakayama Acta Diabetologica.2016; 53(5): 783. CrossRef
Hepcidin and iron metabolism associated with cardiometabolic risk factors in children: A case–control study Y.N. Zhu, B.T. He, J. Jing, J. Ma, X.H. Li, W.H. Yang, Y. Jin, Y.J. Chen Nutrition, Metabolism and Cardiovascular Diseases.2016; 26(6): 525. CrossRef
Biomarkers of iron metabolism are independently associated with impaired glucose metabolism and type 2 diabetes: the KORA F4 study Cornelia Huth, Simon Beuerle, Astrid Zierer, Margit Heier, Christian Herder, Thorsten Kaiser, Wolfgang Koenig, Florian Kronenberg, Konrad Oexle, Wolfgang Rathmann, Michael Roden, Sigrid Schwab, Jochen Seissler, Doris Stöckl, Christa Meisinger, Annette Pet European Journal of Endocrinology.2015; 173(5): 643. CrossRef
<b>Objectives</b><br/>
The present study was designed to estimate the prevalence of dyslipidemia and hypertension based on the National Cholesterol Educational Programme Adult Treatment Panel III definition of metabolic syndrome (MetS). The study also focuses on prevalence for MetS with respect to the duration of disease in Gwalior–Chambal region of Madhya Pradesh, India.<br/><b>Methods</b><br/>
Type 2 diabetic patients (<i>n</i> = 700) were selected from a cross-sectional study that is regularly being conducted in the School of Studies in Biochemistry, Jiwaji University Gwalior, India. The period of our study was from January 2007 to October 2009. Dyslipidemia and hypertension were determined in type 2 diabetic patients with MetS as per National Cholesterol Educational Programme Adult Treatment Panel III criteria.<br/><b>Results</b><br/>
The mean age of the study population was 54 ± 9.3 years with 504 (72%) males and 196 (28%) females. The prevalence of MetS increased with increased duration of diabetes in females; however, almost constant prevalence was seen in the males. Notable increase in the dyslipidemia (64.1%) and hypertension (49%) in type 2 diabetic patients were seen. The steep increase in dyslipidemia and hypertension could be the reason for the growing prevalence of diabetes worldwide. The study also noted a close association between age and occurrence of MetS.<br/><b>Conclusion</b><br/>
Individual variable of MetS appears to be highly rampant in diabetic population. Despite treatment, almost half of patients still met the criteria for MetS. Effective treatment of MetS components is required to reduce cardiovascular risk in diabetes mellitus hence accurate and early diagnosis to induce effective treatment of MetS in Indian population will be pivotal in the prevention of cardiovascular disease and type 2 diabetes.
Citations
Citations to this article as recorded by
Mapping multimorbidity from diabetes mellitus and its association with depressive symptoms among older people of India: a cross-sectional study from a nationally representative survey Gayatri Khanal, Y. Selvamani, J. Kezia Angeline International Journal of Diabetes in Developing Co.2025; 45(1): 111. CrossRef
Complete blood count inflammation derived indexes as predictors of metabolic syndrome in type 2 diabetes mellitus Almir Fajkić, Rijad Jahić, Edin Begić, Amela Dervišević, Avdo Kurtović, Orhan Lepara Technology and Health Care.2024; 32(4): 2321. CrossRef
Metabolic Syndrome Frequency in Type 2 Diabetics Using International Diabetes Federation (IDF) Criteria Analysis Sheena Kumari, Disha K Kataria, Sona Kumari, Riya Rani, Neha Ahuja, FNU Partab, Sooraj Raja, Hafsa Asif, FNU Sanam, Mohsin Ali Cureus.2024;[Epub] CrossRef
Prevalence of metabolic syndrome and its risk factors among newly diagnosed type 2 diabetes mellitus patients – A hospital-based cross-sectional study S Teja Rama Krishna, Yogesh Bahurupi, Ravi Kant, Pradeep Aggarwal, Athulya V. Ajith Journal of Family Medicine and Primary Care.2024; 13(8): 3325. CrossRef
Metabolic and genetic risk factors associated with pre-diabetes and type 2 diabetes in Thai healthcare employees: A long-term study from the Siriraj Health (SIH) cohort study Pichanun Mongkolsucharitkul, Apinya Surawit, Thamonwan Manosan, Suphawan Ophakas, Sophida Suta, Bonggochpass Pinsawas, Tanyaporn Pongkunakorn, Sureeporn Pumeiam, Winai Ratanasuwan, Mayuree Homsanit, Keerati Charoencholvanich, Yuthana Udomphorn, Bhoom Sukt PLOS ONE.2024; 19(6): e0303085. CrossRef
Real-World Effectiveness of Oral Semaglutide in Indian Adult Diabetic Patients: Evaluation of EMR-based Data Sandeep Gudibanda, Sharayu Govardhane, Supriya Kaloo, Snehal Shah, Vaibhav Miglani, Garima Verma Journal of Diabetology.2024; 15(4): 421. CrossRef
Utilization of Hypolipidemic Drugs, Patterns, and Factors Affecting Dyslipidemia Among Type 2 Diabetes Mellitus at a Tertiary Care Teaching Hospital in South India Sandeep Khot, Ananya Chakraborty, Savitha Vijaykumar Cureus.2023;[Epub] CrossRef
Real-World Observational Study on Vildagliptin With Insulin (VIL-INS) or Vildagliptin and Metformin With Insulin (VIL-MET-INS) Therapy in Indian Patients With Type 2 Diabetes Mellitus P Panneerselvam, Dibakar Biswas, Hema Singh, K Dilip Kumar, P Ravi Kumar, Pramila Kalra, Santosh Revankar, Sona Warrier Cureus.2023;[Epub] CrossRef
Magnitude and Determinants of Diabetic Retinopathy Among Indian Diabetic Patients Undergoing Telescreening in India Rajiv Khandekar, Tamilarasan Senthil, Malathi Nainappan, Deepak P. Edward Telemedicine and e-Health.2022; 28(2): 176. CrossRef
An experimental study of rosuvastatin’s analgesic effect and its interaction with etoricoxib, tramadol, amlodipine, and amitriptytline in albino mice Prafull Mohan, Ashok Kumar Sharma, Sharmila Sinha, R. Sabarad Medical Journal Armed Forces India.2022; 78: S61. CrossRef
Receptor for Advanced Glycation End Product, Organ Crosstalk, and Pathomechanism Targets for Comprehensive Molecular Therapeutics in Diabetic Ischemic Stroke Nivedita L. Rao, Greeshma B. Kotian, Jeevan K. Shetty, Bhaskara P. Shelley, Mackwin Kenwood Dmello, Eric C. Lobo, Suchetha Padar Shankar, Shellette D. Almeida, Saiqa R. Shah Biomolecules.2022; 12(11): 1712. CrossRef
Metabolic and Energy Imbalance in Dysglycemia-Based Chronic Disease Sanjay Kalra, Ambika Gopalakrishnan Unnikrishnan, Manash P Baruah, Rakesh Sahay, Ganapathi Bantwal Diabetes, Metabolic Syndrome and Obesity: Targets .2021; Volume 14: 165. CrossRef
Association between diet quality scores, adiposity, glycemic status and nutritional biomarkers among Indian population with type 2 diabetes mellitus: A cross-sectional study Aamir Bashir, Krishna Pandey, Md Azharuddin, Anjali Kumari, Ishfaq Rashid, N.A. Siddiqui, Chandra Shekhar Lal, Krishna Murti Clinical Epidemiology and Global Health.2020; 8(1): 53. CrossRef
The Impact of BMI Categories on Metabolic Abnormality Development in Chinese Adults Who are Metabolically Healthy: A 7-Year Prospective Study
Metabolic syndrome in north Indian type 2 diabetes mellitus patients: A comparison of four different diagnostic criteria of metabolic syndrome Deepak Gahlan, Rajesh Rajput, Vandana Singh Diabetes & Metabolic Syndrome: Clinical Research &.2019; 13(1): 356. CrossRef
Prevalence of Type 2 Diabetes and Prediabetes in the Gwalior-Chambal Region of Central India Senthil Kumar Subramani, Dhananjay Yadav, Meerambika Mishra, Umamaheswari Pakkirisamy, Prakesh Mathiyalagen, GBKS Prasad International Journal of Environmental Research an.2019; 16(23): 4708. CrossRef
A PROSPECTIVE STUDY OF DYSLIPIDAEMIA AND OBESITY IN HYPERTENSION PATIENTS Ponnana Raja Kumar, Siripurapu Sasikala Journal of Evidence Based Medicine and Healthcare.2018; 5(1): 43. CrossRef
Prevalence and pattern of co morbidity among type2 diabetics attending urban primary healthcare centers at Bhubaneswar (India) Sandipana Pati, F. G. Schellevis, Alessandra Marengoni PLOS ONE.2017; 12(8): e0181661. CrossRef
Dyslipidemia Prevalence in Iranian Adult Men: The Impact of Population-Based Screening on the Detection of Undiagnosed Patients Abolfazl Mohammadbeigi, Esamil Moshiri, Narges Mohammadsalehi, Hossein Ansari, Ali Ahmadi The World Journal of Men's Health.2015; 33(3): 167. CrossRef
Association of high-density lipoprotein with development of metabolic syndrome components: a five-year follow-up in adults Xiangtong Liu, Lixin Tao, Kai Cao, Zhaoping Wang, Dongning Chen, Jin Guo, Huiping Zhu, Xinghua Yang, Youxin Wang, Jingjing Wang, Chao Wang, Long Liu, Xiuhua Guo BMC Public Health.2015;[Epub] CrossRef
<b>Objectives</b><br/>
This study aims to examine the effectiveness of a 6-month lifestyle modification program on the improvement in metabolic syndrome (MetS) status and in stages of change for lifestyle behaviors associated with MetS among Korean older adults.<br/><b>Methods</b><br/>
A lifestyle modification program was developed based on the transtheoretical model. The program consisted of health counseling, education classes, a self-management handbook, newsletters and a health diary. Older adults aged ≥60 (<i>n</i> = 480) with MetS were randomly assigned to the intervention group (IG) or the comparison group (CG). The IG received a comprehensive 6-month lifestyle modification intervention, while the CG received minimal information on MetS and lifestyle modification. Health examination and selfadministered survey were conducted before and after the intervention to determine the effectiveness of the program.<br/><b>Results</b><br/>
After the intervention, the prevalence of MetS decreased to 38.1% in the IG and 52.4% in the CG (<i>p</i> = 0.046). The IG improved abdominal obesity (<i>p</i> = 0.016), blood pressure (<i>p</i> = 0.030), and triglyceride (<i>p</i> = 0.005) more than the CG did. The IG demonstrated significant improvements in the behavioral stages for portion control (<i>p</i> = 0.021), balanced diet (<i>p</i> < 0.001) and adequate intake of fruits and vegetables (<i>p</i> = 0.012). The IG reduced the prevalence of abdominal obesity (OR = 2.34) and improved MetS status (OR = 1.79) better than the CG. The IG were more likely to advance from preaction stages at baseline to action stage at post-intervention for portion control (OR = 3.29) and adequate intake of fruits and vegetables (OR = 2.06).<br/><b>Conclusion</b><br/>
Lifestyle modification can improve the MetS status and behavioral stages in older adults.
Citations
Citations to this article as recorded by
Development and Evaluation of a Blended Self-Management Program for Metabolic Syndrome in Patients With Rheumatic Diseases BoAe Im, HyunSoo Oh, SooHyun Kim, HyeSun Jeong, WhaSook Seo Health Education & Behavior.2024; 51(4): 625. CrossRef
Comprehensive lifestyle modification interventions for metabolic syndrome: A systematic review and meta‐analysis Sungwon Park, Jiwon Lee, Jo Woon Seok, Chang Gi Park, Jin Jun Journal of Nursing Scholarship.2024; 56(2): 249. CrossRef
Obstructive sleep apnea and metabolic syndrome Sara Q. C. Giampá, Geraldo Lorenzi‐Filho, Luciano F. Drager Obesity.2023; 31(4): 900. CrossRef
Association of Maintaining Healthy Habits with Clinical Outcomes in Patients with Diabetes, Dyslipidemia or Hypertension Jeong Hyeon Kim, Young Ho Yun Korean Journal of Family Practice.2021; 11(1): 74. CrossRef
Eating control and eating behavior modification to reduce abdominal obesity: a 12-month randomized controlled trial Soo Kyoung Kim, Norma Patricia Rodriguez Rocha, Hyekyeong Kim Nutrition Research and Practice.2021; 15(1): 38. CrossRef
The Use of Behavior Change Theories in Dietetics Practice in Primary Health Care: A Systematic Review of Randomized Controlled Trials Roshan R. Rigby, Lana J. Mitchell, Kyra Hamilton, Lauren T. Williams Journal of the Academy of Nutrition and Dietetics.2020; 120(7): 1172. CrossRef
The Prevalence of Metabolic Syndrome and Health-Related Behavior Changes: The Korea National Health Examination Survey Eunshil Yim, Kyounga Lee, Ilsu Park, Sangjin Lee Healthcare.2020; 8(2): 134. CrossRef
Efectividad de las intervenciones para revertir el diagnóstico del síndrome metabólico: actualización de un metaanálisis de comparación mixta de tratamientos Adriana Guzmán, Esteban Navarro, Leidy Obando, Jorge Pacheco, Korina Quirós, Leticia Vásquez, Milena Castro, Fernando Ramírez Biomédica.2019; 39(4): 647. CrossRef
Effect of patient education on metabolic syndrome components among females in Zagazig University outpatient clinics, Egypt: An intervention study Noha Osman Frere, Saeed Salah Abduljalil Soliman, Mohammed Adel Foda, Tayssir Kamel Eyada, Nagwa Eid Sobhy Saad Diabetes & Metabolic Syndrome: Clinical Research &.2019; 13(3): 1897. CrossRef
Handgrip strength is associated with metabolic syndrome among middle-aged and elderly community-dwelling persons Ryuichi Kawamoto, Daisuke Ninomiya, Yoshihisa Kasai, Tomo Kusunoki, Nobuyuki Ohtsuka, Teru Kumagi, Masanori Abe Clinical and Experimental Hypertension.2016; 38(2): 245. CrossRef
Depression among Korean Adults with Type 2 Diabetes Mellitus: Ansan-Community-Based Epidemiological Study Chan Young Park, So Young Kim, Jong Won Gil, Min Hee Park, Jong-Hyock Park, Yeonjung Kim Osong Public Health and Research Perspectives.2015; 6(4): 224. CrossRef
Impact of Community-Based Integrated Traditional Chinese and Western Medicine Metabolic Syndrome Intervention Technology in Rural Residents in Southern Jiangsu, China Kaijin Zhang Medical Science Monitor.2015; 21: 2163. CrossRef
Routine Screening and Consultation Facilitate Improvement of Metabolic Syndrome Nan-He Yoon, Seunghyun Yoo, Hyekyeong Kim, Yoonjung Han Journal of Korean Medical Science.2015; 30(8): 1092. CrossRef
Effectiveness of a low-intensity telephone counselling intervention on an untreated metabolic syndrome detected by national population screening in Korea: a non-randomised study using regression discontinuity design Sang-Wook Yi, Soon-Ae Shin, Youn-Jung Lee BMJ Open.2015; 5(7): e007603. CrossRef
Composition of Metabolic Syndrome Among Korean Adults in a Lifestyle Modification Intervention Nan-He Yoon, Seunghyun Yoo, Hyekyeong Kim Osong Public Health and Research Perspectives.2014; 5(6): 370. CrossRef
Transtheoretical model stages of change for dietary and physical exercise modification in weight loss management for overweight and obese adults Nikolaos Mastellos, Laura H Gunn, Lambert M Felix, Josip Car, Azeem Majeed Cochrane Database of Systematic Reviews.2014;[Epub] CrossRef
Two Sides of Obesity: Metabolic Syndrome and Osteoporosis in Elderly Women, Gangwon-do, Korea Sungok Jang, Sungwha Lee, Jongseok Lee Korean Journal of Health Education and Promotion.2014; 31(1): 13. CrossRef
Short-term Effects of a Lifestyle Intervention Program on Eating Behaviors, Physical Activity and Cardiovascular Risks in Korean Adults Jiyeon Park, Hyekyeong Kim Korean Journal of Health Education and Promotion.2014; 31(4): 37. CrossRef
Motivational interviewing with the older adult Mirsad Serdarevic, Sonne Lemke International Journal of Mental Health Promotion.2013; 15(4): 240. CrossRef