Relating food choice determinants with sociodemographic variables, health status and nutritional risk among community living older adults

Oliveira, Leandro; Poínhos, Rui; Almeida, Maria Daniel Vaz de

doi:10.1016/j.clnesp.2022.07.012

Cited by 4 publications

(3 citation statements)

References 32 publications

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“…The results show that older adults living in urban areas, married and those with good sleep quality had a lower chance of being underweight compared to counterparts, respectively. Based on our results and other studies, the reasons lying behind the facts can be summarized into two aspects: inadequate food supply and reduced intake [ 40 ]. Economic disadvantage, reduced capacity of purchase, psychosocial factors caused by widowhood, divorce, the loss of identity and loss of social roles can result in inadequate food supply [ 41 ].…”

Section: Discussionmentioning

confidence: 69%

Trends of underweight, overweight, and obesity among older adults in China from 2008 to 2018: a national observational survey

et al. 2023

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Objective This study aims to investigate the 10-year trends and disparities in underweight, overweight, and obesity among older adults aged 65 years and older in China from 2008 to 2018. Methods We used four waves (2008, 2011, 2014, and 2018) of data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS), a national community-based cross-sectional survey conducted every 2–3 years. Body weight and height were measured by trained assessors following standardized procedures. BMI was calculated and divided into underweight (< 18.5 kg/m2), normal (18.5–24.9 kg/m2), overweight (25.0-29.9 kg/m2), obese (≥ 30.0 kg/m2) according to WHO reference. Multinomial logistic regression models were used to examine factors related with abnormal BMI groups, after adjusting for potential confounders. Results Among 46,543 older adults in China, the prevalence rates of underweight decreased with each survey year from 2008 to 2018, declining from 20.05 to 7.87% (p < 0.001). In contrast, the prevalence rates of overweight and obesity showed an increasing trend (all p < 0.001). Specifically, the prevalence of overweight rose from 12.82% to 2008 to 28.45% in 2018, and the prevalence of obesity increased from 1.62% to 2008 to 4.95% in 2018. In the multinomial logistic regression model, survey year, gender, residence, marital status, economic status, numbers of chronic diseases, smoking status, sleep quality, and functional disability were factors related with obesity. Conclusion The prevalence rates of overweight and obesity were increasing while the prevalence of underweight and normal weight significantly decreased from 2008 to 2018 among older adults in China, which poses a huge challenge for chronic disease. There is an urgent need for intervention policy planning and early prevention of abnormal body weight for the preparation of an aging society.

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Section: Discussionmentioning

confidence: 69%

Trends of underweight, overweight, and obesity among older adults in China from 2008 to 2018: a national observational survey

et al. 2023

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“…The factors that influence food choice were evaluated through a list of items obtained from a previous study [24]. As a result, the following determinants influencing food selection were chosen and adapted: F1.…”

Section: Study Design and Data Collectionmentioning

confidence: 99%

Factors That Most Influence the Choice for Fast Food in a Sample of Higher Education Students in Portugal

Oliveira,

Raposo

2024

Nutrients

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The frequency of fast food consumption among higher education students is high, causing worrying implications for public health. This study aims to relate the factors that influence the choice for fast food with social factors, nutritional status, and fast food consumption in a sample of higher education students in Portugal. An online questionnaire was developed and disseminated by social networks among students during the first half of 2023. Two hundred and thirty-seven students participated, mainly female (65.4%), who were attending public higher education institutions (59.1%), with a median of age of 20.0 (19.0; 22.0) years, and about 20% of the sample had overweight. Approximately 80% consumed fast food, and almost 40% consumed it more than once or twice a week. Predominantly (78.0%), they chose hamburger meals, spending EUR 8.0 per meal. The factors that most influenced the choice of fast food were ease or convenience of preparation (59.9%), price (48.5%), and flavor (28.3%). There were also differences between sexes and between those attending public and private higher education institutions regarding whether they usually consume fast food or not. The body mass index was positively associated with age (r: 0.142; p = 0.029) and with fast food spending (r: 0.146; p = 0.024). The results have implications for public health and clinical nutrition, and can support more effective strategies to improve food choices in higher education students.

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“…Recognizing that learning extends beyond the confines of the classroom, it encompasses physical, mental, intellectual, emotional, and social dimensions (Fauzan et al, 2021). Tailored physical education curricula are instrumental at various educational levels, equipping teachers with the tools to effectively design, implement, and assess student activities (Oliveira et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Exploring play activites, nutritional status and learning motivation on learning outcomes in children

Triani Aulia,

Welis,

Neldi

et al. 2024

SPORTIF

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Children's learning outcomes are in the low category, based on play activities, nutrition and motivation owned by children. This study aims to reveal the play activities, nutrition, and motivation children possess. This research method is correlation using quantitative methodology through a path analysis approach. The population in the study was upper-grade elementary school students. This sampling technique is random sampling, randomly taking 50% of each class at public elementary school 8 Lubuklinggau, a total of 79 students. Data were collected using questionnaires for learning motivation, anthropometric tests to obtain students' nutritional status, and primary data used to see the learning outcomes obtained. The results show the relationship between the independent variable and the dependent variable, with the Beta coefficient having a value of 0.009 for X1 and X3 (p31) and 0.092 for X2 and X3 (p32). While the second structure shows the relationship between the independent variables X1Y, X2Y, and X3Y with the same dependent variable, with the Beta coefficients having values of 0.236 for X1Y (py1), 0.219 for X2Y (py2), and 0.313 for X3Y (py3), it can be concluded that there is a simultaneous influence of play activities, nutritional status and motivation on learning outcomes. In conclusion, research shows that nutritional status and learning motivation play an important role in shaping student learning outcomes at public elementary school 8 Lubuklingau, Padang, Indonesia, with nutritional status also indirectly affecting learning outcomes through its impact on learning motivation.

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Relating food choice determinants with sociodemographic variables, health status and nutritional risk among community living older adults

Cited by 4 publications

References 32 publications

Trends of underweight, overweight, and obesity among older adults in China from 2008 to 2018: a national observational survey

Trends of underweight, overweight, and obesity among older adults in China from 2008 to 2018: a national observational survey

Factors That Most Influence the Choice for Fast Food in a Sample of Higher Education Students in Portugal

Exploring play activites, nutritional status and learning motivation on learning outcomes in children

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