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Dra. Mardones-Leiva, Lorena
Nombre de publicación
Dra. Mardones-Leiva, Lorena
Nombre completo
Mardones Leiva, Lorena Gisela
Facultad
Email
lmardones@ucsc.cl
ORCID
2 results
Research Outputs
Now showing 1 - 2 of 2
- PublicationPatterns of healthy lifestyle behaviours in older adults: Findings from the Chilean National Health Survey 2009–2010(Elsevier, 2018)
; ;Petermann-Rocha, Fanny ;Brown, Rosemary ;Leiva, Ana MarÃa ;MartÃnez, MarÃa Adela ;DÃaz-MartÃnez, Ximena; ;Poblete-Valderrama, Felipe ;Iturra-González, José A.; ; ;Salas-Bravo, Carlos ;Ulloa, Natalia ;GarcÃa-Hermoso, Antonio ;RamÃrez-Vélez, Robinson ;Vásquez Gómez, JaimeCelis-Morales, CarlosThe purpose of this study was to investigate healthy lifestyle behaviours across age categories in the older population in Chile. Data from 1390 older adults (≥60 years), in the 2009–2010 Chilean National Health Survey were analyzed. We derived the following age categories: 60–65, 66–70, 71–75, 76–80 and >80 years. The associations between age and compliance with healthy lifestyle behaviours (smoking, sitting time, physical activity, sleep duration and intake of salt, alcohol, fruit and vegetables) were investigated using logistic regression. The probability of meeting the guidelines for alcohol intake (OR trend: 1.35 [95% CI: 1.11; 1.64], p = 0.001) and smoking (OR trend: 1.23 [95% CI: 1.13; 1.33], p < 0.0001) increased with age, whereas spending <4 h per day sitting time or engaging in at least 150 min of physical activity per week or sleep on average between 7 and 9 h per day were less likely to be met with increasing age (OR trend: 0.77 [95% CI: 0.71; 0.83], p < 0.000; OR trend: 0.73 [95% CI: 0.67; 0.79], p < 0.0001, and OR trend: 0.89 [95% CI: 0.82; 0.96], p = 0.002, respectively). No significant trend across age categories was observed for fruit and vegetables, and salt intake. The probability of meeting at least 3 out of 7 healthy lifestyle behaviours across the age categories was also lower in older age categories compared to those aged 60 to 65 years. Overall, in older adults the probability of having the healthy lifestyle behaviours of physical activity, sitting time and sleeping behaviours was low but not for smoking or alcohol consumption. With an increasingly ageing population, these findings could inform stakeholders on which lifestyle behaviours could be targeted in the older adults and therefore which interventions should take place to promote healthy ageing. - PublicationAssociation between a lifestyle score and all-cause mortality: A prospective analysis of the Chilean National Health Survey 2009–2010(Cambridge University Press, 2023)
; ; ; ;Petermann-Rocha, Fanny ;Diaz-Toro, Felipe ;MartÃnez-Sanguinetti, MarÃa Adela ;Leiva-Ordoñez, Ana ;Nazar, Gabriela ;Concha-Cisternas, Yeny ;DÃaz MartÃnez, Ximena ;Lanuza, Fabian ;Carrasco-MarÃn, Fernanda ;Martorell, Miquel ;RamÃrez-Alarcón, Karina ;Labraña, Ana MarÃa ;Parra-Soto, Solange ;Lasserre-Laso, Nicole ;Cigarroa, Igor ;Vásquez-Gómez, JaimeCelis-Morales, CarlosObjective: To investigate the association between a lifestyle score and all-cause mortality in the Chilean population. Design: Prospective study. Settings: The score was based on seven modifiable behaviours: salt intake, fruit and vegetable intake, alcohol consumption, sleep duration, smoking, physical activity and sedentary behaviours. 1-point was assigned for each healthy recommendation. Points were summed to create an unweighted score from 0 (less healthy) to 7 (healthiest). According to their score, participants were then classified into: less healthy (0–2 points), moderately healthy (3–4 points) and the healthiest (5–7 points). Associations between the categories of lifestyle score and all-cause mortality were investigated using Cox proportional hazard models adjusted for confounders. Nonlinear associations were also investigated. Participants: 2706 participants from the Chilean National Health Survey 2009–2010. Results: After a median follow-up of 10·9 years, 286 (10·6 %) participants died. In the maximally adjusted model, and compared with the healthiest participants, those less healthy had 2·55 (95 % CI 1·75, 3·71) times higher mortality risk due to any cause. Similar trends were identified for the moderately healthy group. Moreover, there was a significant trend towards increasing the mortality risk when increasing unhealthy behaviours (hazard ratio model 3: 1·61 (95 % CI 1·34, 1·94)). There was no evidence of nonlinearity between the lifestyle score and all-cause mortality. Conclusion: Individuals in the less healthy lifestyle category had higher mortality risk than the healthiest group. Therefore, public health strategies should be implemented to promote adherence to a healthy lifestyle across the Chilean population.