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1.
JMIR Public Health Surveill ; 10: e50189, 2024 Apr 02.
Artigo em Inglês | MEDLINE | ID: mdl-38564248

RESUMO

BACKGROUND: The COVID-19 pandemic has underscored the significance of adopting healthy lifestyles to mitigate the risk of severe outcomes and long-term consequences. OBJECTIVE: This study focuses on assessing the prevalence and clustering of 5 unhealthy lifestyle behaviors among Vietnamese adults after recovering from COVID-19, with a specific emphasis on sex differences. METHODS: The cross-sectional data of 5890 survivors of COVID-19 in Vietnam were analyzed from December 2021 to October 2022. To examine the sex differences in 5 unhealthy lifestyle behaviors (smoking, drinking, unhealthy diet, physical inactivity, and sedentary behavior), the percentages were plotted along with their corresponding 95% CI for each behavior. Latent class analysis was used to identify 2 distinct classes of individuals based on the clustering of these behaviors: the "less unhealthy" group and the "more unhealthy" group. We examined the sociodemographic characteristics associated with each identified class and used logistic regression to investigate the factors related to the "more unhealthy" group. RESULTS: The majority of individuals (male participants: 2432/2447, 99.4% and female participants: 3411/3443, 99.1%) exhibited at least 1 unhealthy behavior, with male participants being more susceptible to multiple unhealthy behaviors. The male-to-female ratio for having a single behavior was 1.003, but it escalated to 25 for individuals displaying all 5 behaviors. Male participants demonstrated a higher prevalence of combining alcohol intake with sedentary behavior (949/2447, 38.8%) or an unhealthy diet (861/2447, 35.2%), whereas female participants tended to exhibit physical inactivity combined with sedentary behavior (1305/3443, 37.9%) or an unhealthy diet (1260/3443, 36.6%). Married male participants had increased odds of falling into the "more unhealthy" group compared to their single counterparts (odds ratio [OR] 1.45, 95% CI 1.14-1.85), while female participants exhibited lower odds (OR 0.65, 95% CI 0.51-0.83). Female participants who are underweight showed a higher likelihood of belonging to the "more unhealthy" group (OR 1.11, 95% CI 0.89-1.39), but this was not observed among male participants (OR 0.6, 95% CI 0.41-0.89). In both sexes, older age, dependent employment, high education, and obesity were associated with higher odds of being in the "more unhealthy" group. CONCLUSIONS: The study identified notable sex differences in unhealthy lifestyle behaviors among survivors of COVID-19. Male survivors are more likely to engage in unhealthy behaviors compared to female survivors. These findings emphasize the importance of tailored public health interventions targeting sex-specific unhealthy behaviors. Specifically, addressing unhealthy habits is crucial for promoting post-COVID-19 health and well-being.


Assuntos
COVID-19 , Caracteres Sexuais , Adulto , Feminino , Masculino , Humanos , Análise de Classes Latentes , Estudos Transversais , Pandemias , COVID-19/epidemiologia , Análise por Conglomerados , Estilo de Vida
2.
J Biomol Struct Dyn ; 41(12): 5863-5871, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-35838156

RESUMO

From the methanol extract of the leaves of Aralia dasyphylla Miq. (Araliaceae), ten triterpenoids including five ursane-type triterpenoids, ursolic acid (1), 3-O-α-l-arabinopyranosyl ursolic acid (2), ursolic acid 28-O-ß-D-glucopyranosyl ester (3), 3-O-[ß-D-glucopyranosyl (l→3)]-α-L-arabinopyranosyl ursolic acid (4), and matesaponin 1 (5), and five oleanane-type triterpenoids, elatoside E (6), elatoside F (7), 3-O-[ß-D-glucopyranosyl (l→3)]-α-L-arabinopyranosyl oleanolic acid (8), 3-O-α-L-arabinopyranosyl oleanolic acid (9) and oleanolic acid 28-O-ß-D-glucopyranosyl ester (10) were isolated. Their structures were elucidated based on 1D-, 2D-NMR and ESI-MS spectra as well as by comparison with those reported in the literature. All isolated compounds were evaluated in vitro for their cytotoxic activities against three human cancer cell lines (HepG2, LU-1 and RD) and in silico by molecular docking studies on human glucose transporter 1 (hGLUT1) protein. The triterpenoids 2, 4, 6, 8 and 9 exhibited good growth inhibition of HepG2 and LU-1 cancer cell lines with IC50 values in the range 1.76 - 7.21 (µM). The oleanane type triterpenoid 8 was the highest cytotoxic compound to inhibit all the tested cancer cell lines with IC50 values of 2.73 ± 0.12, 1.76 ± 0.11, 2.63 ± 0.10 µM, respectively. The in silico molecular docking study results showed that compounds 4 and 6 had the highest binding affinity. Compounds 1-10 were evaluated for their in silico ADMET of absorption, distribution, metabolism, excretion and oral toxicity parameters. Compounds 6, 8, 9 and 10 from A. dasyphylla are potential hGLUT1 inhibitors and worth of further investigation for the prevention or treatment of diabetes and cancer.Communicated by Ramaswamy H. Sarma.


Assuntos
Aralia , Ácido Oleanólico , Triterpenos , Humanos , Aralia/química , Ácido Oleanólico/farmacologia , Triterpenos/química , Simulação de Acoplamento Molecular , Folhas de Planta/química , Estrutura Molecular , Ácido Ursólico
3.
Asia Pac J Public Health ; 32(8): 387-397, 2020 11.
Artigo em Inglês | MEDLINE | ID: mdl-32911992

RESUMO

This study investigates the prevalence of tobacco and alcohol uses and associated factors among 12 ethnic minorities in Vietnam in 2019. A cross-sectional survey was conducted among 5172 people aged ≥15 years. The prevalence of smoking and drinking was 19.7% and 29.9%, respectively, and significantly higher among men than women. These numbers were heterogeneous across ethnic minorities. Smoking prevalence was high among Ba Na (25.9%), Cham An Giang (22.3%), Khmer (23.5%), La Hu (26.3%), Ta Oi (30.7%), and Bru Van Kieu (29.6%) ethnicities whereas that of Gie Trieng and Mnong ethnicities was low (3.7% and 9.5%, respectively). Drinking prevalence ranged from 1.4% in Cham An Giang ethnicity to 68.6% in Ba Na ethnicity. A wide ethnic disparity on tobacco and alcohol use could be explained by the ethnic variation of lifestyles, social norms, and cultural features. Our findings suggest the need to develop ethnic-specific interventions to mitigate the smoking and drinking prevalence.


Assuntos
Consumo de Bebidas Alcoólicas/etnologia , Etnicidade/estatística & dados numéricos , Grupos Minoritários/estatística & dados numéricos , Uso de Tabaco/etnologia , Adolescente , Adulto , Idoso , Estudos Transversais , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Prevalência , Fatores de Risco , Vietnã/epidemiologia , Adulto Jovem
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