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Hou L, Xia X, Du Y, Zhang Y, Li S, Liu W, Zhao J, Wang K, Zhang L, Wang Q. Nutritional knowledge, attitudes, and practices among residents in the Northeast areas of China during the COVID-19 epidemic. Front Public Health 2024; 12:1296869. [PMID: 38351960 PMCID: PMC10861797 DOI: 10.3389/fpubh.2024.1296869] [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: 09/19/2023] [Accepted: 01/15/2024] [Indexed: 02/16/2024] Open
Abstract
Background The coronavirus disease 2019 (COVID-19) due to SARS-CoV-2 infection continues to affect the daily life of communities worldwide. Nutrition is a vital determinant of overall health. Given the lack of specific drugs for COVID-19 and incomplete vaccination coverage, optimizing nutrition appears to be one of the most cost-effective means of enhancing immunity. Therefore, this study was designed to evaluate nutrition-related knowledge, attitudes, and practices (KAP) to offer insights into the personal determinants of dietary behavior during COVID-19 pandemic in four major cities within the Northeast region. Methods This cross-sectional study was conducted between January and December 2022 using a self-administered questionnaire. The data were entered in EpiData V-3.02 and analyzed using SPSS version 26. Binary logistic regression analysis was also employed to examine the association between dependent and independent variables. Results A total of 4,092 respondents were included in the study. Most of the respondents demonstrated had inadequate nutrition knowledge, 26% of them provided ≥60% of correct answers. About one-third of the respondents were knowledgeable about the daily levels of oil, salt, milk, water, vegetables and fruits for adults. Furthermore, our results showed that 60.6% of participants held positive attitudes toward healthy eating. Additionally, only 54.6% of the participants have heathy dietary practices during COVID-19 pandemic. Binary logistic regression analysis showed that the following characteristics were associated with displaying unhealthy dietary behaviors: being men, having a lower education level, having a family income of 10,000-19,999 and more than 20,000, being resided in Harbin, Shenyang, and Changchun. Importantly, the strongest associations were observed between poor dietary knowledge and unhealthy eating behaviors. Similarly, dietary attitudes were strongly associated with healthy dietary behaviors when the effects of other factors were excluded; responders with negative attitudes were more likely to exhibit unhealthy eating behaviors. Conclusion Our findings suggest that residents in the Northeast China possessed a relatively low level of nutritional knowledge, which directly influenced their dietary practices during the COVID-19 pandemic. This study provides valuable insights into the cross-sectional description and key factors related to nutrition-related KAP, serving as a basis for future policymaking to respond more effectively to health crises.
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Affiliation(s)
- Liyan Hou
- Dalian Medical University Library, Dalian, China
- National-Local Joint Engineering Research Center for Drug-Research and Development (R&D) of Neurodegenerative Diseases, Dalian Medical University, Dalian, China
| | - Xueyan Xia
- Dalian Medical University Library, Dalian, China
| | - Ying Du
- Dalian Municipal Center for Disease Control and Prevention, Dalian, China
| | - Yu Zhang
- National-Local Joint Engineering Research Center for Drug-Research and Development (R&D) of Neurodegenerative Diseases, Dalian Medical University, Dalian, China
| | - Shuangshuang Li
- Dalian Xinyulong Marine Organisms Seed Industry Technology Co., Ltd, Dalian, China
| | - Wen Liu
- Dalian Xinyulong Marine Organisms Seed Industry Technology Co., Ltd, Dalian, China
| | - Jie Zhao
- National-Local Joint Engineering Research Center for Drug-Research and Development (R&D) of Neurodegenerative Diseases, Dalian Medical University, Dalian, China
| | - Ke Wang
- Department of Clinical Nutrition, Second Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Lei Zhang
- Dalian Medical University Library, Dalian, China
| | - Qingshan Wang
- National-Local Joint Engineering Research Center for Drug-Research and Development (R&D) of Neurodegenerative Diseases, Dalian Medical University, Dalian, China
- School of Public Health, Dalian Medical University, Dalian, China
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Osadchiy V, Bal R, Mayer EA, Kunapuli R, Dong T, Vora P, Petrasek D, Liu C, Stains J, Gupta A. Machine learning model to predict obesity using gut metabolite and brain microstructure data. Sci Rep 2023; 13:5488. [PMID: 37016129 PMCID: PMC10073225 DOI: 10.1038/s41598-023-32713-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 03/31/2023] [Indexed: 04/06/2023] Open
Abstract
A growing body of preclinical and clinical literature suggests that brain-gut-microbiota interactions may contribute to obesity pathogenesis. In this study, we use a machine learning approach to leverage the enormous amount of microstructural neuroimaging and fecal metabolomic data to better understand key drivers of the obese compared to overweight phenotype. Our findings reveal that although gut-derived factors play a role in this distinction, it is primarily brain-directed changes that differentiate obese from overweight individuals. Of the key gut metabolites that emerged from our model, many are likely at least in part derived or influenced by the gut-microbiota, including some amino-acid derivatives. Remarkably, key regions outside of the central nervous system extended reward network emerged as important differentiators, suggesting a role for previously unexplored neural pathways in the pathogenesis of obesity.
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Affiliation(s)
- Vadim Osadchiy
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
- UCLA Microbiome Center, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, USA
- Department of Urology, David Geffen School of Medicine, Los Angeles, USA
| | - Roshan Bal
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
| | - Emeran A Mayer
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
- UCLA Microbiome Center, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, USA
| | - Rama Kunapuli
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
| | - Tien Dong
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
- UCLA Microbiome Center, Los Angeles, USA
| | - Priten Vora
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, USA
- Division of Gastroenterology, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Danny Petrasek
- Department of Mathematics, California Institute of Technology, Pasadena, USA
| | - Cathy Liu
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, USA
| | - Jean Stains
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, USA
- Division of Gastroenterology, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System, Los Angeles, CA, USA
| | - Arpana Gupta
- Vatche and Tamar Manoukian Division of Digestive Diseases, Los Angeles, USA.
- UCLA Microbiome Center, Los Angeles, USA.
- G. Oppenheimer Center for Neurobiology of Stress and Resilience, Los Angeles, USA.
- G. Oppenheimer Family Center for Neurobiology of Stress and Resilience, Vatche and Tamar Manoukian Division of Digestive Diseases, David Geffen School of Medicine at UCLA, CHS 42-210 MC737818, 10833 Le Conte Avenue, Los Angeles, CA, USA.
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Liu CA, Liu T, Ge YZ, Song MM, Ruan GT, Lin SQ, Xie HL, Shi JY, Zheng X, Chen Y, Shen L, Deng L, Shi HP. Muscle distribution in relation to all-cause and cause-specific mortality in young and middle-aged adults. J Transl Med 2023; 21:154. [PMID: 36841788 PMCID: PMC9960213 DOI: 10.1186/s12967-023-04008-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 02/16/2023] [Indexed: 02/27/2023] Open
Abstract
BACKGROUND The relationship between muscle and prognosis, especially that between muscle distribution across different body parts, and the related prognosis is not well established. OBJECTIVE To investigate the relationship between muscle distribution and all-cause and cause-specific mortality and their potential modifiers. DESIGN Longitudinal cohort study. C-index, IDI, and NRI were used to determine the best indicator of prognosis. COX regression analysis was performed to explore the relationship between variables and outcomes. Interaction and subgroup analyses were applied to identify the potential modifiers. PARTICIPANTS A total of 5052 participants (weighted: 124,841,420) extracted from the NHANES 2003-2006 of median age 45 years and constituting 50.3% men were assessed. For validation, we included 3040 patients from the INSCOC cohort in China. MAIN MEASURES Muscle mass and distribution. KEY RESULTS: COX regression analysis revealed that upper limbs (HR = 0.41, 95% CI 0.33-0.51), lower limbs (HR = 0.54, 95% CI 0.47-0.64), trunk (HR = 0.71, 95% CI, 0.59-0.85), gynoid (HR = 0.47, 95% CI 0.38-0.58), and total lean mass (HR = 0.55, 95% CI 0.45-0.66) were all associated with the better survival of participants (P trend < 0.001). The changes in the lean mass ratio of the upper and lower limbs and the lean mass ratio of the android and gynoid attenuated the protective effect of lean mass. Age and sex acted as potential modifiers, and the relationship between lean mass and the prognosis was more significant in men and middle-aged participants when compared to that in other age groups. Sensitive analyses depicted that despite lean mass having a long-term impact on prognosis (15 years), it has a more substantial effect on near-term survival (5 years). CONCLUSION Muscle mass and its distribution affect the prognosis with a more significant impact on the near-term than that on the long-term prognosis. Age and sex acted as vital modifiers.
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Affiliation(s)
- Chen-An Liu
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China ,grid.24696.3f0000 0004 0369 153XNational Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Tong Liu
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China ,grid.24696.3f0000 0004 0369 153XNational Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Yi-Zhong Ge
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China ,grid.24696.3f0000 0004 0369 153XNational Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Meng-Meng Song
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China ,grid.24696.3f0000 0004 0369 153XNational Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Guo-Tian Ruan
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China ,grid.24696.3f0000 0004 0369 153XNational Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Shi-Qi Lin
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China ,grid.24696.3f0000 0004 0369 153XNational Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Hai-Lun Xie
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China ,grid.24696.3f0000 0004 0369 153XNational Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Jin-Yu Shi
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China ,grid.24696.3f0000 0004 0369 153XNational Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Xin Zheng
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China ,grid.24696.3f0000 0004 0369 153XNational Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Yue Chen
- grid.24696.3f0000 0004 0369 153XDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038 China ,grid.24696.3f0000 0004 0369 153XNational Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053 China ,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Liuyi Shen
- grid.263452.40000 0004 1798 4018Shanxi Medical University, Taiyuan, Shanxi 030001 China
| | - Li Deng
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038 China ,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038 China
| | - Han-Ping Shi
- Department of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, 100038, China. .,National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China. .,Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China. .,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.
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The association of salivary alpha-amylase, heart rate variability, and psychological stress on objectively measured sleep behaviors among college students. FRONTIERS OF NURSING 2022. [DOI: 10.2478/fon-2022-0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Abstract
Objective
This study aimed to evaluate sleep behaviors among college students, to assess salivary alpha-amylase (sAA) and heart rate variability (HRV) in association with stress, and to investigate sleep-related factors including sAA, HRV, and stress among them.
Methods
Saliva samples for sAA assessment and HRV measurements in the supine position were taken between 3 PM and 6 PM. The level of prolonged psychological stress for the previous week was evaluated using the Korean version of the Global Assessment of Recent Stress (GARS-K), and sleep behaviors were assessed using an actigraphy device.
Results
A total of 86 healthy college students participated in this study. Sleep behaviors of the college students were not good, with 84% sleep efficiency (SE) and 62.7 min wake after sleep onset (WASO). The average sAA level was 65.8 U/mL in the participants. Although neither the sAA level nor HRV indices were significantly correlated with prolonged psychological stress, decreased normalized high frequency (nHF) on HRV was independently associated with a higher level of stress when adjusted for age and sex. Higher stress (r = −0.276, P = 0.011) and lower sAA (r = 0.266, P = 0.030) had significant correlations with shorter time in bed; however, it was sAA that was independently associated with time in bed (β = 0.244, p = 0.044). Decreased nHF (β = 0.245, P = 0.027) and higher body mass index (BMI) (β = −0.224, P = 0.043) were independently related to and poorer SE.
Conclusions
Poor sleep behaviors were associated with decreased parasympathetic activity, a physiological change to psychological stress, rather than with psychological stress itself among college students. Thus, sAA and HRV should be considered as significant factors for impaired sleep behaviors in relation to psychological stress.
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Siqueira VAAA, Sebastião E, Camic CL, Machado DRL. Higher Body Mass Index Values Do Not Impact Physical Function and Lower-Extremity Muscle Strength Performance in Active Older Individuals. INTERNATIONAL JOURNAL OF EXERCISE SCIENCE 2022; 15:330-340. [PMID: 36895437 PMCID: PMC9987519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
Abstract
This study examined the potential impact of BMI on physical function and lower-extremity muscle strength (leg extension and flexion peak torque) performance in active/trained older individuals. Sixty-four active/trained older individuals were enrolled, and later allocated to groups according to BMI categories (normal [≤ 24.9 kg/m2], overweight [25 to 29.9 kg/m2] and obese [≥ 30 kg/m2]). Sixty-four active/trained older individuals were enrolled, and later allocated to groups according to BMI categories (normal [≤ 24.9 kg/m2], overweight [25 to 29.9 kg/m2] and obese [≥ 30 kg/m2]). Assessments were conducted in two separate visits to the laboratory. In the first visit, participants underwent measures of height, body mass, and peak torque leg extension and flexion using an isokinetic dynamometer. On visit two, participants performed the 30-second Sit and Stand test (30SST), Timed Up and Go (TUG), and 6-minute Walk (6MW) tests. ANOVA one-way was used to analyze the data and significance was set at P < .05. One-way ANOVAs did not reveal significance differences among BMI categories for leg extension peak torque (F(2,61) = 1.11; P = 0.336), leg flexion peak torque (F(2,61) = 1.22; P = 0.303), 30SST (F(2,61) =1.28; P = 0.285), TUG (F(2,61) = 0.238; P = 0.789), and 6MW (F(2,61) = 2.52; P = 0.089)]. Our findings indicated that for older individuals who exercise regularly, physical function tests which mimic ordinary activities of daily living, are not impacted by BMI status. Thus, being physically active may counteract some of the negative effects of high BMI observed in the older adult population.
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Affiliation(s)
- Vitor A A A Siqueira
- School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, BRAZIL
| | - Emerson Sebastião
- Department of Kinesiology and Physical Education, Northern Illinois University, DeKalb, IL, UNITED STATES
| | - Clayton L Camic
- Department of Kinesiology and Physical Education, Northern Illinois University, DeKalb, IL, UNITED STATES
| | - Dalmo R L Machado
- School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP, BRAZIL
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Kim B, Kim G, Kim E, Park J, Isobe T, Sakae T, Oh S. The A Body Shape Index Might Be a Stronger Predictor of Chronic Kidney Disease Than BMI in a Senior Population. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph182412874. [PMID: 34948483 PMCID: PMC8701813 DOI: 10.3390/ijerph182412874] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 11/23/2021] [Accepted: 12/05/2021] [Indexed: 12/20/2022]
Abstract
The A Body Shape Index (ABSI) was recently introduced to quantify abdominal adiposity relative to the body mass index (BMI) and height. This cross-sectional study was performed to explore whether the ABSI is linked to chronic kidney disease (CKD) in older adults and compare the predictive capacity of the ABSI versus BMI for CKD. In total, 7053 people aged ≥ 60 years were divided into normal, mild, and moderate-to-severe CKD groups based on their estimated glomerular filtration rate (eGFR). The correlation of the ABSI with the eGFR and the differences and trends in the ABSI and BMI among the groups were analyzed, and the cutoff points for moderate-to-severe CKD were calculated. The association between the ABSI and CKD was stronger than that between the BMI and CKD. The ABSI had a better capacity to discriminate the CKD stage than did the BMI. The capacity of the ABSI to predict moderate-to-severe CKD was higher than that of the BMI and was more substantial in women than men. The ABSI cutoff points for CKD were ≥0.0822 and 0.0795 in men and women, respectively. In conclusion, the ABSI serves as a better index than the BMI for screening and detecting high-risk individuals with CKD.
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Affiliation(s)
- Bokun Kim
- Department of Kinesiology, Silla University, Busan 46958, Korea;
| | - Gwonmin Kim
- Medical Research Institute, Pusan National University Hospital, Busan 49241, Korea; (G.K.); (J.P.)
| | - Eonho Kim
- Department of Physical Education, Dongguk University, Seoul 04620, Korea;
| | - Jonghwan Park
- Medical Research Institute, Pusan National University Hospital, Busan 49241, Korea; (G.K.); (J.P.)
| | - Tomonori Isobe
- Faculty of Medicine, University of Tsukuba, Ibaraki 305-8575, Japan; (T.I.); (T.S.)
| | - Takeji Sakae
- Faculty of Medicine, University of Tsukuba, Ibaraki 305-8575, Japan; (T.I.); (T.S.)
| | - Sechang Oh
- Faculty of Medicine, University of Tsukuba, Ibaraki 305-8575, Japan; (T.I.); (T.S.)
- Correspondence: ; Tel.: +81-29-853-3291
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He T, Wang Z, Wu Y, Zhang X, Li X, Li J, Du L, Chen J, Lv Q. Lipid changes during the perioperative period in patients with early breast cancer: a real-world retrospective analysis. BMC Surg 2021; 21:396. [PMID: 34772381 PMCID: PMC8588613 DOI: 10.1186/s12893-021-01396-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 11/04/2021] [Indexed: 02/08/2023] Open
Abstract
Background Surgery remains the major treatment for early breast cancer (BC), but surgery itself is also a trauma which might induce alterations in lipid metabolism. The aim of this study was to investigate the changes in lipid profiles and to explore factors associated with lipid changes pre- and postoperation. Methods We retrospectively analyzed the pre- and postoperative serum lipid profiles of 1934 BC patients. Results The levels of triglycerides (TG) (p < 0.001) and low-density lipoprotein cholesterol (LDL) (p < 0.001) were significantly elevated after surgery, while the levels of high-density lipoprotein cholesterol (HDL) (p < 0.001) were significantly decreased. After surgery, 27.76% of patients with preoperative ortholiposis developed dyslipidemia. Postmenopausal BC patients had a higher incidence of dyslipidemia (32.31%) after surgery than premenopausal BC patients (26.07%; p = 0.041). Additionally, patients with BMI > 24 (34.92%) had a higher incidence of dyslipidemia than patients with BMI ≤ 24 (24.84%; p = 0.001). Moreover, the magnitudes of the TG increase (p < 0.001), cholesterol (TC) increase (p = 0.013) and LDL increase (p = 0.015) in the premenopausal group were all greater than those in the postmenopausal group. After adjusting for multiple baseline covariates, preoperative hyperlipidemia and progesterone receptor (PR)-positive status were significantly associated with elevated TG, TC and LDL levels after surgery. Conclusions Serum lipid profiles of BC patients may increase after surgery, especially premenopausal patients. Additionally, postmenopausal and overweight patients may have a higher risk of being diagnosed with dyslipidemia after surgery. Therefore, lipid monitoring, dyslipidemia prevention and corresponding interventions should be taken into consideration during the perioperative period.
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Affiliation(s)
- Tao He
- Department of Breast Surgery, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Zhu Wang
- Laboratory of Molecular Diagnosis of Cancer, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Yunhao Wu
- West China School of Medicine/West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Xinyi Zhang
- West China School of Medicine/West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Xu Li
- Center of Biostatistics, Design, Measurement and Evaluation (CBDME), Department of Clinical Research Management, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Jiayuan Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Liang Du
- Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Jie Chen
- Department of Breast Surgery, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
| | - Qing Lv
- Department of Breast Surgery, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
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Yu J, Li Y, Zheng Z, Jia H, Cao P, Qiangba Y, Yu X. Analysis of multimorbidity networks associated with different factors in Northeast China: a cross-sectional analysis. BMJ Open 2021; 11:e051050. [PMID: 34732482 PMCID: PMC8572406 DOI: 10.1136/bmjopen-2021-051050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVES This study aimed to identify and study the associations and co-occurrence of multimorbidity, and assessed the associations of diseases with sex, age and hospitalisation duration. DESIGN Cross-sectional. SETTING 15 general hospitals in Jilin Province, China. PARTICIPANTS A total of 431 295 inpatients were enrolled through a cross-sectional study in Jilin Province, China. PRIMARY OUTCOME MEASURES The complex relationships of multimorbidity were presented as weighted networks. RESULTS The distributions of the numbers of diseases differed significantly by sex, age and hospitalisation duration (p<0.001). Cerebrovascular diseases (CD), hypertensive diseases (HyD), ischaemic heart diseases (IHD) and other forms of heart disease (OFHD) showed the highest weights in the multimorbidity networks. The connections between different sexes or hospitalisation duration and diseases were similar, while those between different age groups and diseases were different. CONCLUSIONS CD, HyD, IHD and OFHD were the central points of disease clusters and directly or indirectly related to other diseases or factors. Thus, effective interventions for these diseases should be adopted. Furthermore, different intervention strategies should be developed according to multimorbidity patterns in different age groups.
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Affiliation(s)
- Jianxing Yu
- Social Medicine and Health Service Management, School of Public Health, Jilin University, Changchun, China
| | - Yingying Li
- Social Medicine and Health Service Management, School of Public Health, Jilin University, Changchun, China
| | - Zhou Zheng
- Social Medicine and Health Service Management, School of Public Health, Jilin University, Changchun, China
| | - Huanhuan Jia
- Social Medicine and Health Service Management, School of Public Health, Jilin University, Changchun, China
| | - Peng Cao
- Social Medicine and Health Service Management, School of Public Health, Jilin University, Changchun, China
| | - Yuzhen Qiangba
- Social Medicine and Health Service Management, School of Public Health, Jilin University, Changchun, China
| | - Xihe Yu
- Social Medicine and Health Service Management, School of Public Health, Jilin University, Changchun, China
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Peng H, Xie X, Pan X, Zheng J, Zeng Y, Cai X, Hu Z, Peng XE. Association of meat consumption with NAFLD risk and liver-related biochemical indexes in older Chinese: a cross-sectional study. BMC Gastroenterol 2021; 21:221. [PMID: 34001005 PMCID: PMC8127290 DOI: 10.1186/s12876-021-01688-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Accepted: 02/23/2021] [Indexed: 02/06/2023] Open
Abstract
Background Non-alcohol fatty liver disease (NAFLD) is the most common liver disease and an unhealthy lifestyle can lead to an increased risk of NAFLD. The present study aims to evaluate the association of meat consumption with NAFLD risk and liver-related biochemical indexes in middle-aged and elderly Chinese. Methods A cross-sectional study was conducted in individuals who were 45 years or older and underwent a physical examination from April 2015 to August 2017 in Southeast China. To evaluate associations between meat intake and NAFLD risk, inverse probability of treatment weighting and subgroup analyses were performed with logistic regressions. Spearman’s rank correlation was carried out to examine the relationship between meat consumptions and liver-related biochemical indexes. Results High consumptions of red meat (28.44–49.74 and > 71.00 g/day) (ORadjusted = 1.948; P < 0.001; ORadjusted = 1.714; P = 0.002) was positively associated with NAFLD risk on inverse probability of treatment weighting analysis, adjusting for smoking, tea intake, weekly hours of physical activity and presence of hypertension, dyslipidemia and diabetes. Exposure–response relationship analysis presented that red meat intake was positively associated with NAFLD risk. Significant associations of red meat intakes with serum levels of γ-glutamyl transferase, alanine transaminase, aspartate aminotransferase, total triglyceride and high-density lipoprotein cholesterol were found (rs = 0.176; P < 0.001; rs = 0.128; P < 0.001; rs = 0.060; P = 0.016; rs = 0.085; P = 0.001; rs = − 0.074; P = 0.003). Conclusions These findings suggest that the reduction of meat consumption may decrease NAFLD risk and should warrant further investigations. Supplementary Information The online version contains supplementary material available at 10.1186/s12876-021-01688-7.
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Affiliation(s)
- Hewei Peng
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, People's Republic of China
| | - Xiaoxu Xie
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, People's Republic of China
| | - Xinting Pan
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, People's Republic of China
| | - Jing Zheng
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, People's Republic of China
| | - Yidan Zeng
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, People's Republic of China
| | - Xiaoling Cai
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, People's Republic of China
| | - Zhijian Hu
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, People's Republic of China.,Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fuzhou, People's Republic of China
| | - Xian-E Peng
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, People's Republic of China. .,Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fuzhou, People's Republic of China.
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Wang X, Song J, Gao Y, Wu C, Zhang X, Li T, Cui J, Song L, Xu W, Yang Y, Zhang H, Lu J, Li X, Liu J, Zheng X. Association Between Weight Gain From Young to Middle Adulthood and Metabolic Syndrome Across Different BMI Categories at Young Adulthood. Front Endocrinol (Lausanne) 2021; 12:812104. [PMID: 35242104 PMCID: PMC8886729 DOI: 10.3389/fendo.2021.812104] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 12/20/2021] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES We aimed to assess the dose-response association between weight gain from young to middle adulthood and odds of metabolic syndrome, across body mass index (BMI) categories at young adulthood. METHODS Based on a national population-based screening project, middle-aged (35-64 years) participants who recalled weight at age 25 years and received standardized measurements were included. Multivariable adjusted restricted cubic splines and logistic regression models were applied. RESULTS In total, 437,849 participants were included (62.1% women, 52.0 ± 7.6 years). Larger weight gains from young to middle adulthood were associated with higher odds of metabolic syndrome at middle adulthood, with odds of 2.01 (1.98-2.05), 1.93 (1.92-1.94), and 1.67 (1.64-1.7) per 5-kg weight gain across participants who were underweight, normal-weight, and overweight/obese at young adulthood, respectively. After further adjusting for current BMI, larger weight gains still correlated with higher odds of metabolic syndrome among underweight and normal-weight participants, while an inverted U-shaped association was observed in overweight/obese participants. CONCLUSIONS Weight maintenance from young to middle adulthood could be effective to mitigate metabolic syndrome burden, especially among underweight and normal-weight people. Historical weight gain confers varied information about metabolic syndrome risk independent of attained BMI across BMI categories at young adulthood.
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Affiliation(s)
- Xiuling Wang
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Jiali Song
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Yan Gao
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Chaoqun Wu
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Xingyi Zhang
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Teng Li
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Jianlan Cui
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Lijuan Song
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Wei Xu
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Yang Yang
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Haibo Zhang
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Jiapeng Lu
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Xi Li
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
| | - Jiamin Liu
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
- *Correspondence: Xin Zheng, ; Jiamin Liu,
| | - Xin Zheng
- National Clinical Research Center for Cardiovascular Diseases, National Health Commission (NHC) Key Laboratory of Clinical Research for Cardiovascular Medications, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Center for Cardiovascular Diseases, Beijing, China
- National Clinical Research Center of Cardiovascular Diseases, Coronary Artery Disease Center, Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China
- *Correspondence: Xin Zheng, ; Jiamin Liu,
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Ding Z, Zhang J, Deng CY, You YB, Zhou H. Association of body mass index with serum alanine aminotransferase in Chinese adolescents: a school-based cross-sectional study. Gastroenterol Rep (Oxf) 2020; 8:119-124. [PMID: 32280471 PMCID: PMC7136703 DOI: 10.1093/gastro/goz039] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2019] [Revised: 07/30/2019] [Accepted: 07/30/2019] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Numerous studies have consistently demonstrated that high body mass index (BMI) is related to elevated serum alanine aminotransferase (ALT) among adults, but little is known about the association regarding adolescents, especially in China. In this study, we aimed to investigate the association between BMI and ALT activity among Chinese adolescents. METHODS A school-based cross-sectional study was performed among nine high schools in Shenzhen, China between February 2017 and June 2018. A generalized linear-regression model adjusting for age and gender was conducted, and bivariate correlation analysis between ALT and BMI was also performed. RESULTS A total of 7,271 adolescents aged from 9 years to 17 years were enrolled. Height, weight, BMI, and ALT were higher among boys than among girls (all P < 0.001). The mean (standard deviation) of serum ALT levels was 14.26 (14.77) U/L. In the entire BMI range, the BMI-ALT correlation was stronger for boys (Spearman's r = 0.396, P < 0.001) and adolescents of 14 years-17 years (r = 0.356, P < 0.001) than for girls (r = 0.203, P < 0.001) and adolescents of 9 years-13 years (r = 0.221, P < 0.001), respectively. Serum ALT increased rapidly and followed a linear pattern from the point of BMI ≥20.5 kg/m2, and each increase of 1 kg/m2 in BMI range above 20.5 kg/m2 was averagely correlated with an increase of 2.71 U/L in ALT levels (P < 0.001). CONCLUSIONS We found a significant BMI-ALT relationship. BMI at 20.5 kg/m2 may be a cut-off for evaluating serum ALT. BMIs ≥27.1 kg/m2 for boys and ≥24.9 kg/m2 for girls were linked to an elevated ALT activity for Shenzhen adolescents.
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Affiliation(s)
- Zan Ding
- Institute of Low Carb Medicine, Baoan Central Hospital of Shenzhen, the Fifth Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, P. R. China
| | - Jing Zhang
- Department of Nursing, Baoan Central Hospital of Shenzhen, the Fifth Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, P. R. China
| | - Chang-Yu Deng
- Department of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong, P. R. China
| | - Ying-Bin You
- Institute of Low Carb Medicine, Baoan Central Hospital of Shenzhen, the Fifth Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, P. R. China
- Department of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong, P. R. China
| | - Hua Zhou
- Institute of Low Carb Medicine, Baoan Central Hospital of Shenzhen, the Fifth Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, P. R. China
- Corresponding author. Baoan Central Hospital of Shenzhen, the Fifth Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, P. R. China. Tel: +86-755-27956977; Fax: +86-755-27956977;
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12
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Yu J, Song F, Li Y, Zheng Z, Jia H, Sun Y, Jin L, Yu X. Multimorbidity Analysis of 13 Systemic Diseases in Northeast China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17061817. [PMID: 32168832 PMCID: PMC7142480 DOI: 10.3390/ijerph17061817] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Revised: 03/04/2020] [Accepted: 03/08/2020] [Indexed: 12/15/2022]
Abstract
Background: Multimorbidity not only affects the quality of patients’ lives, but can also bring a heavy economic burden to individuals, families and society. The purpose of this study was to reveal the connections between diseases, especially the important role each disease played in the entire multimorbidity network. Methods: A total of 1,155,734 inpatients were enrolled through multistage stratified random sampling in Jilin Province in 2017. Categorical variables were compared using the Rao–Scott-χ2 test. Weighted networks were adopted to present the complex relationships of multimorbidity. Results: The distributions of the number of diseases differed significantly by gender, age and health insurance scheme (P < 0.001). Diseases of the respiratory system had the highest weight in multimorbidity in young people. Endocrine, nutritional and metabolic diseases and circulatory system diseases were often associated with other systemic diseases in middle aged and old people. Conclusions: Multimorbidity with respiratory system diseases in young people should not be overlooked. Additionally, effective prevention efforts that target endocrine, nutritional and metabolic diseases and circulatory system diseases are needed in middle aged and old people.
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Affiliation(s)
- Jianxing Yu
- Social Medicine and Health Service Management, School of Public Health, No. 1163 Xinmin Street, Jilin University, Changchun 130021, Jilin, China; (J.Y.); (F.S.); (Y.L.); (Z.Z.); (H.J.); (Y.S.)
| | - Fangying Song
- Social Medicine and Health Service Management, School of Public Health, No. 1163 Xinmin Street, Jilin University, Changchun 130021, Jilin, China; (J.Y.); (F.S.); (Y.L.); (Z.Z.); (H.J.); (Y.S.)
| | - Yingying Li
- Social Medicine and Health Service Management, School of Public Health, No. 1163 Xinmin Street, Jilin University, Changchun 130021, Jilin, China; (J.Y.); (F.S.); (Y.L.); (Z.Z.); (H.J.); (Y.S.)
| | - Zhou Zheng
- Social Medicine and Health Service Management, School of Public Health, No. 1163 Xinmin Street, Jilin University, Changchun 130021, Jilin, China; (J.Y.); (F.S.); (Y.L.); (Z.Z.); (H.J.); (Y.S.)
| | - Huanhuan Jia
- Social Medicine and Health Service Management, School of Public Health, No. 1163 Xinmin Street, Jilin University, Changchun 130021, Jilin, China; (J.Y.); (F.S.); (Y.L.); (Z.Z.); (H.J.); (Y.S.)
| | - Yuzhe Sun
- Social Medicine and Health Service Management, School of Public Health, No. 1163 Xinmin Street, Jilin University, Changchun 130021, Jilin, China; (J.Y.); (F.S.); (Y.L.); (Z.Z.); (H.J.); (Y.S.)
| | - Lina Jin
- Epidemiology and Biostatistics, School of Public Health, No. 1163 Xinmin Street, Jilin University, Changchun 130021, Jilin, China;
| | - Xihe Yu
- Social Medicine and Health Service Management, School of Public Health, No. 1163 Xinmin Street, Jilin University, Changchun 130021, Jilin, China; (J.Y.); (F.S.); (Y.L.); (Z.Z.); (H.J.); (Y.S.)
- Correspondence:
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13
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Sun M, Jiang Y, Sun C, Li J, Guo X, Lv Y, Yu Y, Yao Y, Jin L. The associations between smoking and obesity in northeast China: a quantile regression analysis. Sci Rep 2019; 9:3732. [PMID: 30872597 PMCID: PMC6418137 DOI: 10.1038/s41598-019-39425-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2018] [Accepted: 01/22/2019] [Indexed: 11/25/2022] Open
Abstract
Obesity is a risk factors of chronic diseases, and smoking is associated with both chronic diseases and obesity. There were some controversies about the associations between smoking and obesity. Thus, our study aimed to explore the associations of smoking with obesity, using body mass index (BMI) and waist circumference (WC) as obesity indices in northeast China. We enrolled a sample of 16,412 participants in Jilin province aged 18-79 in this study, which were derived from a cross-sectional survey in 2012. We used quantile regression (QR) models to identify the associations of smoking with obesity in different quantiles of BMI (or WC) by genders. The differences of BMI and WC by genders were statistically significant (p < 0.05). In conclusion, compared with current non-smokers, current smokers had lower BMI but higher WC. As increasing of WC, the association of WC with smoking was getting stronger, especially in females.
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Affiliation(s)
- Mengzi Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Yan Jiang
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Chong Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Jiagen Li
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Xin Guo
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Yaogai Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Yaqin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China
| | - Yan Yao
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
| | - Lina Jin
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, Jilin, China.
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