Food consumption according to the level of processing and sleep quality during the COVID-19 pandemic

Júnior, Luiz Antônio Alves de Menezes; Andrade, Amanda Cristina de Souza; Coletro, Hillary Nascimento; Mendonça, Raquel Bicudo; Menezes, Mariana Carvalho de; Machado-Coelho, George Luiz Lins; Meireles, Adriana Lúcia

doi:10.1016/j.clnesp.2022.03.023

Cited by 12 publications

(7 citation statements)

References 54 publications

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“…When used together, these indicators provide an overall appraisal of dietary patterns, allowing the identi cation of individuals with inadequate habits and a higher propensity to develop chronic non-communicable diseases. This simple and direct approach offers an e cient way to track the dietary quality of individuals and populations and contributes to a more comprehensive analysis of diet-related health 38,39 .…”

Section: Discussionmentioning

confidence: 99%

The Pittsburgh Sleep Quality Index-2: The validity of a two-item sleep quality screener in Brazilian adults

Menezes-Júnior,

Carraro,

Machado-Coelho

et al. 2023

Preprint

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Background: Several instruments are available to assess sleep quality, including the 19-item Pittsburgh Sleep Quality Index (PSQI). As shorter measures may be desirable for use in clinical settings or population-based research, we evaluated the validity of a 2-item sleep quality screener, the PSQI-2. Methods: The PSQI-2 inquiries about sleep duration and subjective sleep quality over the past 30 days, scoring each from 0 ("very good"; > 7h of sleep) to 3 ("very bad"; < 5h of sleep). The sum of the two items generates a score from 0 to 6; the higher the score, the worse the sleep quality. This study was conducted with 1,762 adults in a population-based household survey with stratified sampling between October and December 2020 in Brazil. Concurrent validity was assessed using the full PSQI as the reference test. Results: As PSQI-2 scores increased from 0 to 6, a substantial increase has been found in the prevalence of individuals with poor sleep quality (p <0.05). The PSQI-2 had excellent internal consistency (α = 0.94 and ω = 0.85) and known-group validity, with higher scale scores found in individuals with symptoms of depression and anxiety. Considering PSQI > 5 (poor sleep quality) as a reference, the best cut-off point of the PSQI-2 score was > 2, with a sensitivity of 77.9% and specificity of 73.8%. The concurrent validity revealed acceptable performance of the PSQI-2 for the PSQI > 5 and > 7, and exceptional performance for the PSQI > 10. Conclusion: The PSQI-2 presents good/excellent validity evidence for screening sleep quality in a sample of Brazilian adults.

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Section: Discussionmentioning

confidence: 99%

The Pittsburgh Sleep Quality Index-2: The validity of a two-item sleep quality screener in Brazilian adults

Menezes-Júnior,

Carraro,

Machado-Coelho

et al. 2023

Preprint

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“…This method of assessing food consumption has been adopted to compute individual and household food consumption by many studies in developing countries (Aweke et al 2021 ; de Menezes-Júnior et al 2022 ; Fite et al 2022 ). The formula used in computing the food consumption score is presented as: where .…”

Section: Methodsmentioning

confidence: 99%

Assessing food security among young farmers in Africa: evidence from Kenya, Nigeria, and Uganda

et al. 2023

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Food insecurity remains a serious challenge for many households in Africa and the situation is even more prevalent among young people. However, there is a dearth of empirical evidence on youth food security status in Africa. We assessed the level and determinants of food security among young farmers in Africa. We adopted a multi-stage sampling technique to select 400, 429, and 606 young farmers in Kenya, Nigeria, and Uganda, respectively. Individual food consumption was assessed following a 7 days recall method. The Food Consumption Score, which combines dietary diversity and consumption frequency was used to assess food security status while the determinants of food security were identified using a logistic regression model. Results suggest low dietary diversity across the three countries. Also, the majority of the respondents had an unacceptable food consumption score, suggesting that despite being food producers, young farmers are still food insecure. The odds of being food secure was positively determined by access to extension services, participation in the ENABLE TAAT business incubation programme, and access to market information but, negatively by access to credit, number of employees, Covid-19 pandemic, and location. Additionally, the food security status of young female farmers was positively influenced by age, suggesting that younger youths are less food secure compared to older ones. These results suggest that more efforts should be directed towards improving the food security of young African farmers and that policy- and programme-level interventions should support access to extension services, market information, and land. Additionally, more investments should be directed towards developing need-based agribusiness incubation programmes with an effort to scale existing programmes beyond the regular one-time period.

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“…For quality of life, variables obtained from PedsQL were the physical, psychological and overall HRQL scores. For sleep quality, variables of interest obtained from the PSQI were the classification of sleep quality using the global sleep score (“good quality” for scores ≤ 5, and “bad quality” for scores > 5 ( 16 )), “Sleep Latency” and “Sleep Efficiency.” Sleep latency scores were inverted, so that higher values would represent a positive outcome. Associations were tested using logistic regression for binary dependent variables (i.e., classification of sleep quality as “good” or “bad”), and linear regression for continuous dependent variables, with the various outcomes obtained from the questionnaires considered as dependent variables, and food processing level considered as independent variables.…”

Section: Methodsmentioning

confidence: 99%

“…Regarding sleep quality, healthier diets (i.e., those richer in complex carbohydrates, fiber and unsaturated fats) have been associated with improved directly measured sleep quality ( 13 ). In addition, a higher frequency of UPR foods consumption, combined with lower consumption of UNMP foods, was associated with a higher rate of poor sleep quality, both before ( 15 ) and during the COVID-19 pandemic ( 16 ).…”

Section: Introductionmentioning

confidence: 99%

Food consumption based on processing level (according to Nova system) during the COVID-19 pandemic among adolescents with immunocompromised conditions: a case-control study

et al. 2023

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The COVID-19 pandemic impacts on eating habits among adolescents may be more relevant in pediatric patients with immunocompromised chronic diseases. This case-control study conducted between June and October 2020 aimed to: (i) describe dietary patterns of adolescents with chronic conditions compared to healthy controls and (ii) determine associations between food consumption, health-related quality of life (HRQL) and sleep quality during the COVID-19 pandemic. Participants (184 immunocompromised and 58 healthy adolescents, aged 14.3 [SD 2.5]) responded to HRQL and sleep validated instruments (PedsQL and PSQI) and three 24 h food recalls via online software. Adjusted linear and logistic regressions were used to assess differences in dietary patterns and associations between food consumption (according to Nova classification) and HRQL and sleep quality. Adolescents with gastrohepatic, rheumatic, and kidney diseases had an improved dietary pattern vs. their healthy peers, showing greater consumption of unprocessed and minimally processed foods (unstandardized coefficient (b) = 7.35%[95%CI 1.59; 13.1]; b = 15.10%[95%CI 7.00; 23.1]; and b = 11.2%[95%CI 5.68; 16.8]), and lower consumption of ultraprocessed foods (b = −7.53%[95%CI-12.90; −2.18]; b = −11.4%[95%CI-18.90; −3.94]; b = −10.8%[95%CI-16.00; −5.68]). Consumption of culinary ingredients was associated with reduced psychological HRQL in controls (standardized coefficient (β) = −0.26[95%CI-0.52; −0.004]), and processed food consumption was associated with improved sleep latency in immunocompromised participants (β = 0.16[95%CI 0.01; 0.31]). These findings suggest diet quality may play a role in HRQL and sleep quality in this population, and may be relevant for clinical practitioners and policy makers when considering the importance of dietary quality in immunocompromised youths.

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Food consumption according to the level of processing and sleep quality during the COVID-19 pandemic

Cited by 12 publications

References 54 publications

The Pittsburgh Sleep Quality Index-2: The validity of a two-item sleep quality screener in Brazilian adults

The Pittsburgh Sleep Quality Index-2: The validity of a two-item sleep quality screener in Brazilian adults

Assessing food security among young farmers in Africa: evidence from Kenya, Nigeria, and Uganda

Food consumption based on processing level (according to Nova system) during the COVID-19 pandemic among adolescents with immunocompromised conditions: a case-control study

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