1
|
Viana RS, Nascimento-Ferreira MV, Schaan BD, Bloch KV, de Carvalho KMB, Cureau FV, De Moraes ACF. Prevalence of the Double Burden of Malnutrition among Adolescents: Associations with Lifestyle Behaviors and Clusters of Social Determinants. CHILDREN (BASEL, SWITZERLAND) 2024; 11:620. [PMID: 38929200 PMCID: PMC11201642 DOI: 10.3390/children11060620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 05/15/2024] [Accepted: 05/17/2024] [Indexed: 06/28/2024]
Abstract
The double burden of malnutrition (DBM) is a condition in which malnutrition coexists with overweight, reflecting a new layer of malnutrition. Our objectives were to assess prevalence; test associations between DBM and 24-hour movement behaviors; and investigate whether DBM is associated with clusters of social determinants. Methods: This multicenter cross-sectional study included 1152 adolescents (12 to 17 years old) from four Brazilian cities. Body mass index (BMI, kg/m2) was used to estimate overweight, and the adopted cutoff points took into account the curves established for age and sex: Z-score > 1 and ≤2 (overweight) and Z-score > 2 (obesity). The serum concentration of 25-hydroxyvitamin D [25(OH)D] was stratified into three levels: vitamin D deficiency ≤ 20 ng/mL; vitamin D insufficiency = 21-29 ng/mL; optimal vitamin D ≥ 30 ng/mL. We used multilevel Poisson regression models to estimate prevalence ratios (PRs) and their respective 95% confidence intervals (95%CI) and to analyze the association between DBM and covariates. A significance level of p < 0.05 was considered. Cluster analyses were performed by applying a combination of hierarchical and non-hierarchical methods. Results: A population prevalence of DBM of 7.3% (95% CI: 5.9-8.9) was revealed. A percentage of 19.2% (95% CI: 17.0-21.6) of adolescents were overweight, and 8.3% (95% CI: 6.8-10.1) were obese. A total of 41.5% (95% CI: 38.7-44.4) had vitamin D deficiency, and 25.8% (95% CI: 23.4-28.4) had vitamin D insufficiency. However, 24-hour movement behaviors were not associated with DBM. Adolescents living in the southern region of the country, from public schools whose mothers have higher education, have a 1.94 [PR = 2.94 (95% CI: 1.20-7.23)] times greater chance of developing DBM. These results highlight the importance of specific factors to improve the nutritional health of adolescents, considering the specific social determinants identified in this study.
Collapse
Affiliation(s)
- Raytta Silva Viana
- Postgraduate Program in Public Health, Department of Epidemiology, School of Public Health, University of São Paulo, São Paulo 01246-904, Brazil;
- YCARE Research Group (Youth/Child Cardiovascular Risk Environmental Research Group), Faculdade de Medicina, University of São Paulo, São Paulo 01246-903, Brazil
| | - Marcus Vinicius Nascimento-Ferreira
- YCARE Research Group (Youth/Child Cardiovascular Risk Environmental Research Group), Faculdade de Medicina, University of São Paulo, São Paulo 01246-903, Brazil
- Research Group on Health, Physical Activity and Behavior (HEALTHY-BRA), Federal University of Tocantins, Miracema do Tocantins 77650-000, Brazil
| | - Beatriz D. Schaan
- Faculty of Medicine, Postgraduate Program in Cardiology and Cardiovascular Sciences, Federal University of Rio Grande do Sul, Porto Alegre 90035-003, Brazil
- Division of Endocrinology, Hospital de Clínicas de Porto Alegre, Porto Alegre 90035-903, Brazil
- Faculty of Medicine, Postgraduate Program in Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre 90035003, Brazil
| | - Katia Vergetti Bloch
- Institute of Studies in Public Health, Federal University of Rio de Janeiro, Rio de Janeiro 21941-592, Brazil
| | | | - Felipe Vogt Cureau
- Faculty of Medicine, Postgraduate Program in Cardiology and Cardiovascular Sciences, Federal University of Rio Grande do Sul, Porto Alegre 90035-003, Brazil
| | - Augusto César Ferreira De Moraes
- The University of Texas Health Science Center at Houston, School of Public Health in Austin, Department of Epidemiology, Michael & Susan Dell Center for Healthy Living, Texas Physical Activity Research Collaborative (Texas PARC) 1836 San Jacinto Blvd., Ste. 510, Austin, TX 78701, USA
| |
Collapse
|
2
|
Babicki M, Kłoda K, Ledwoch J, Janiak S, Krzyżanowski F, Zieliński T, Grabska P, Gajowiak D, Malchrzak W, Mastalerz-Migas A. The impact of lifestyle, measured with the HLPCQ questionnaire on the prevalence of metabolic syndrome in Poland: a multicenter study. Sci Rep 2024; 14:10070. [PMID: 38698159 PMCID: PMC11065886 DOI: 10.1038/s41598-024-60866-1] [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: 03/22/2024] [Accepted: 04/29/2024] [Indexed: 05/05/2024] Open
Abstract
Metabolic syndrome is one of the most common health problems for people around the world. The aim of our study was to assess the prevalence of metabolic syndrome among adults without prior diagnosis of cardiovascular disease, diabetes, and chronic kidney disease. We also plan to assess the influence of certain lifestyle components on prevalence of metabolic syndrome. The study involved cardiovascularly healthy patients undergoing lab tests, measurements, and the HLPCQ questionnaire (The Healthy Lifestyle and Personal Control Questionnaire). The data were used to diagnose metabolic syndrome. Out of 1044 patients from 10 primary care facilities, 23.3% met the metabolic syndrome criteria, showing a strong link with increased blood pressure, cholesterol, and fasting glucose. Lower scores in the Organized physical exercise subscale of the HLPCQ questionnaire were noted in those with metabolic syndrome. Comparing the subscale of HLPCQ questionnaire, the lower results in Organized physical exercise subscale were found among the participants with metabolic syndrome, both male and females. Metabolic syndrome, a significant risk factor for cardiovascular disease, should be screened for actively, even in apparently healthy populations. Results obtained in our study from analysis of HLPCQ show that screening for metabolic syndrome should be preceded by prevention based on regular physical activity and proper eating habits.
Collapse
Affiliation(s)
- Mateusz Babicki
- Department of Family Medicine, Wroclaw Medical University, 50-367, Wrocław, Poland.
- Department of Family Medicine, Wroclaw Medical University, Ul. Syrokomli 1, 51-141, Wroclaw, Poland.
| | - Karolina Kłoda
- MEDFIT Karolina Kłoda, Ul. Narutowicza 13E/11, 70-240, Szczecin, Poland
| | | | - Sandra Janiak
- Department of Family Medicine, Nicolaus Copernicus University in Torun, Collegium Medicum in Bydgoszcz, 85-094, Bydgoszcz, Poland
| | - Filip Krzyżanowski
- Department of Family Medicine, Wroclaw Medical University, 50-367, Wrocław, Poland
- Centrum Medyczne AD-MED, Wrocław, Poland
| | - Tomasz Zieliński
- NZOZ PROMED A. Szendała, T. Zieliński - Lekarze sp. p., Wysokie, Poland
| | - Patrycja Grabska
- Przychodnia Lekarska Rodzina Jerzy Rajewski Sp. J, Koronowo, Poland
| | | | - Wojciech Malchrzak
- Department of Family Medicine, Wroclaw Medical University, 50-367, Wrocław, Poland
| | | |
Collapse
|
3
|
Pan J, Hu K, Yu X, Li W, Shen Y, Song Z, Guo Y, Yang M, Hu F, Xia Q, Du Z, Wu X. Beneficial associations between outdoor visible greenness at the workplace and metabolic syndrome in Chinese adults. ENVIRONMENT INTERNATIONAL 2024; 183:108327. [PMID: 38157607 DOI: 10.1016/j.envint.2023.108327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 10/13/2023] [Accepted: 11/12/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Greenness surrounding residential places has been found to significantly reduce the risk of diseases such as hypertension, obesity, and metabolic syndrome (MetS). However, it is unclear whether visible greenness exposure at the workplace has any impact on the risk of MetS. METHODS Visible greenness exposure was assessed using a Green View Index (GVI) based on street view images through a convolutional neural network model. We utilized logistic regression to examine the cross-sectional association between GVI and MetS as well as its components among 51,552 adults aged 18-60 in the city of Hangzhou, China, from January 2018 to December 2021. Stratified analyses were conducted by age and sex groups. Furthermore, a scenario analysis was conducted to investigate the risks of having MetS among adults in different GVI scenarios. RESULTS The mean age of the participants was 40.1, and 38.5% were women. We found a statistically significant association between GVI and having MetS. Compared to the lowest quartile of GVI, participants in the highest quartile of GVI had a 17% (95% CI: 11-23%) lower odds of having MetS. The protective association was stronger in the males, but we did not observe such differences in different age groups. Furthermore, we found inverse associations between GVI and the odds of hypertension, low high-density lipoprotein cholesterol, obesity, and high levels of FPG. CONCLUSIONS Higher exposure to outdoor visible greenness in the workplace environment might have a protective effect against MetS.
Collapse
Affiliation(s)
- Jiahao Pan
- Center for Clinical Big Data and Analytics School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China
| | - Kejia Hu
- Center for Clinical Big Data and Analytics School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China
| | - Xinyan Yu
- Department of Health Management Center and Department of General Medicine, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, 310009 Zhejiang, China
| | - Wenyuan Li
- Center for Clinical Big Data and Analytics School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China
| | - Yujie Shen
- Center for Clinical Big Data and Analytics School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China
| | - Zhenya Song
- Department of Health Management Center and Department of General Medicine, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, 310009 Zhejiang, China
| | - Yi Guo
- Department of Health Management Center and Department of General Medicine, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, 310009 Zhejiang, China
| | - Min Yang
- Center for Clinical Big Data and Analytics School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China
| | - Fang Hu
- Department of Health Management Center and Department of General Medicine, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, 310009 Zhejiang, China
| | - Qunke Xia
- School of Earth Sciences, Zhejiang University, Hangzhou 310027, China
| | - Zhenhong Du
- School of Earth Sciences, Zhejiang University, Hangzhou 310027, China; Zhejiang Provincial Key Laboratory of Geographic Information Science, Hangzhou 310028, China.
| | - Xifeng Wu
- Center for Clinical Big Data and Analytics School of Public Health and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang, China; The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang 310058, China; Cancer Center, Zhejiang University, Hangzhou, Zhejiang 310058 China.
| |
Collapse
|