Trajectories of Dietary Patterns, Sleep Duration, and Body Mass Index in China: A Population-Based Longitudinal Study from China Nutrition and Health Survey, 1991-2009.

No study has used trajectories of dietary patterns to examine their effects on sleep duration and body mass index over time in the Chinese population. We analyzed data from adults participating in the China Health and Nutrition Survey between 1991 and 2009. Dietary intake was measured by a 24-h recall method over three consecutive days. Height and body weight were measured, and sleep duration was self-reported. Multivariable mixed linear models were applied to examine the association between trajectories of dietary patterns (using a latent class model) and sleep duration as well as BMI. Four trajectories of a traditional pattern (characterized by rice, meat, and vegetables) and three trajectories of a modern pattern (characterized by fast food, milk, and deep-fried food) were identified. Participants with a high and rapid increase trajectory of the modern dietary pattern had the shortest sleep duration (β = -0.26; 95% CI: -0.40, -0.13). Participants with a high and stable intake of the traditional dietary pattern had the lowest BMI (β = -1.14; 95% CI: -1.41, -0.87), while the participants with a high and rapid increase trajectory of the modern dietary pattern had the highest BMI (β = 0.74; 95% CI: 0.34, 1,15). A rapid increase in the modern dietary pattern is associated with shorter sleep duration and higher BMI

Obesity related eating behaviour patterns in Swedish preschool children and association with age, gender, relative weight and parental weight - factorial validation of the Children's Eating Behaviour Questionnaire

<p>Abstract</p> <p>Background</p> <p>The Children's Eating Behaviour Questionnaire (CEBQ) is a multi-dimensional, parent-reported questionnaire measuring children's eating behaviours related to obesity risk, i.e. 'enjoyment of food', 'food responsiveness', 'slowness in eating' and 'satiety responsiveness'. It has not previously been validated in a Swedish population, neither on children under the age of 2 years. In the present study we examined the factor structure and the reliability of the Swedish version of the CEBQ, for use in an obesity intervention programme targeting preschool children 1-6 years. Further, the associations between eating behaviours and children's age, gender and relative weight (BMI SDS) and parental weight were investigated.</p> <p>Methods</p> <p>Parents to 174 children aged 1-6 years (50% girls, mean age 3.8 years), recruited from five kindergartens in Stockholm, completed the Swedish version of the CEBQ. Data on children's weight and height, parental weight, height and educational level was collected. Children's relative weight was calculated for a subpopulation (mean BMI SDS -0.4, n = 47). Factorial validation (Principal Component Analysis) on all CEBQ items was performed. Differences in eating behaviours by age, gender and parental weight were examined. Correlations between eating behaviours and the child's BMI SDS were analysed controlling for age, gender, parental weight and education in linear regression analyses.</p> <p>Results</p> <p>The factor analysis revealed a seven factor solution with good psychometric properties, similar to the original structure. The behaviour scales 'overeating'/'food responsiveness', 'enjoyment of food' and 'emotional undereating' decreased with age and 'food fussiness' increased with age. Eating behaviours did not differ between girls and boys. The children's relative weight was not related to any of the eating behaviours when controlling for age, gender, parental weight and education, and only associated with parental weight status.</p> <p>Conclusions</p> <p>Our results support the use of the CEBQ as a psychometric instrument for assessing children's eating behaviours in Swedish children aged 1-6 years. Measuring obesity related eating behaviours in longitudinal and interventional studies would offer opportunities for studying causal effects of eating behaviours in the development of obesity in children.</p

Both Short and Long Sleep Durations Are Associated with Poor Cognition and Memory in Chinese Adults Aged 55+ Years-Results from China Health and Nutrition Survey.

We aimed to examine the associations between sleep duration and cognitive functions and memory in older Chinese adults attending the China Health and Nutrition Survey. A total of 7924 participants 55 years and older who reported their sleep duration and had a cognitive screen test in 2004, 2006, and 2015 were included in the analysis. Mixed-effects logistic regression models were used to assess the associations. A short sleep duration (≤6 h/day) and long sleep duration (≥10 h/day) were positively associated with a low global cognitive score (odds ratio-OR: 1.23, 95% CI: 1.01-1.50; OR: 1.47, 95% CI: 1.17-1.79, respectively). Both short sleepers and long sleepers had an increased risk of self-reported poor memory (OR: 1.63, 95% CI: 1.39-1.91; OR: 1.48, 95% CI: 1.25-1.74, respectively). No differences in the above associations were found for income, education, and urbanity. In conclusion, both the short and long sleep duration were associated with declined cognition and memory. Maintaining a normal sleep duration may aid in the prevention of cognitive function decline in older adults

Neighbourhood walkability and dietary attributes : Effect modification by area-level socio-economic status

Objective: Higher neighbourhood walkability would be expected to contribute to better health, but the relevant evidence is inconsistent. This may be because residents’ dietary attributes, which vary with socio-economic status (SES) and influence their health, can be related to walkability. We examined associations of walkability with dietary attributes and potential effect modification by area-level SES. Design: The exposure variable of this cross-sectional study was neighbourhood walkability, calculated using residential density, intersection density and destination density within 1-km street-network buffer around each participant’s residence. The outcome variables were dietary patterns (Western, prudent and mixed) and total dietary energy intake, derived from a FFQ. Main and interaction effects with area-level SES were estimated using two-level linear regression models. Setting: Participants were from all states and territories in Australia. Participants: The analytical sample included 3590 participants (54 % women, age range 34 to 86). Results: Walkability was not associated with dietary attributes in the whole sample. However, we found interaction effects of walkability and area-level SES on Western diet scores (P < 0·001) and total energy intake (P = 0·012). In low SES areas, higher walkability was associated with higher Western dietary patterns (P = 0·062) and higher total energy intake (P = 0·066). In high SES areas, higher walkability was associated with lower Western diet scores (P = 0·021) and lower total energy intake (P = 0·058). Conclusions: Higher walkability may not be necessarily conducive to better health in socio-economically disadvantaged areas. Public health initiatives to enhance neighbourhood walkability need to consider food environments and socio-economic contexts

Strengthening Capacity for Implementation Research Amid COVID-19 Pandemic : Learnings From the Global Alliance for Chronic Diseases Implementation Science School

Objective: To describe the design, delivery and evaluation of the 3rd Global Alliance for Chronic Diseases (GACD) Implementation Science School (ISS), delivered virtually in 2020 for the first time. Methods: Since 2014, GACD has supported the delivery of more than ten Implementation Science Workshops for more than 500 international participants. It has also been conducting an annual ISS since 2018. In this study, we described the design, delivery and evaluation of the third ISS. Results: Forty-six participants from 23 countries in five WHO regions attended the program. The virtual delivery was well-received and found to be efficient in program delivery, networking and for providing collaborative opportunities for trainees from many different countries. The recently developed GACD Implementation Science e-Hub was found to be an instrumental platform to support the program by providing a stand-alone, comprehensive online learning space for knowledge and skill development in implementation research. Conclusion: The delivery of the virtual GACD ISS proved to be feasible, acceptable and effective and offers greater scalability and sustainability as part of a future strategy for capacity strengthening in implementation research globally.publishedVersionPeer reviewe

Low physical activity is associated with adverse health outcome and higher costs in Indonesia: A national panel study

AimsTo assess the association between low physical activity, cardiovascular disease (CVD) and risk factors, health service utilization, risk of catastrophic health expenditure, and work productivity in Indonesia.MethodsIn this population-based, panel data analysis, we used data from two waves of the Indonesian Family Life Survey (IFLS) for 2007/2008 and 2014/2015. Respondents aged 40–80 years who participated in both waves were included in this study (n = 5,936). Physical activity was assessed using the International Physical Activity Questionnaire (IPAQ-SF). Multinomial logistic regression model was used to examine factors associated with physical activity levels (low, moderate, and high). We applied a series of multilevel mixed-effect panel regression to examine the associations between physical activity and outcome variables.ResultsThe prevalence of low physical activity increased from 18.2% in 2007 to 39.6% in 2014. Compared with those with high physical activity, respondents with low physical activity were more likely to have a 10-year high CVD risk (AOR: 2.11, 95% CI: 1.51–2.95), use outpatient care (AOR: 1.26, 95% CI: 1.07–1.96) and inpatient care (AOR 1.45, 95% CI: 1.07–1.96), experience catastrophic health expenditure of 10% of total household expenditure (AOR: 1.66, 95% CI: 1.21–2.28), and have lower labor participation (AOR: 0.24, 95% 0.20–0.28).ConclusionsLow physical activity is associated with adverse health outcomes and considerable costs to the health system and wider society. Accelerated implementation of public health policies to reduce physical inactivity is likely to result in substantial population health and economic benefits

Diet and sleep in Australian middle aged and elder men

Optimal sleep duration and quality sleep are an important cornerstone for good health. Poor sleep can lead to a series of adverse consequences in metabolic and immune systems, as well as in mortality. Research into the effects of diet on sleep have mainly focused on single macronutrients and laboratory studies. Not yet explored are the complex interactions between dietary intake and chronic disease, psychosocial and lifestyle factors in relation to sleep at the population level. This thesis aims to investigate the complexity of the association between dietary factors and sleep outcome (objective and subjective measures) middle aged and elderly Australian men. Data used in the thesis were from the Men Androgen Inflammation Lifestyle Environment and Stress (MAILES) study, established to determine the explanatory variables, and help with treatment and preventive measures, for the development of chronic diseases in men. The studies undertaken in this thesis firstly examined the association between macronutrients intake and the risk of sleep apnoea and self-reported sleep symptoms in men aged 35-80 years old. This study found that compared with the lowest quartile of fat intake, the highest quartile was associated with increased risks of daytime sleepiness and sleep apnoea events during the night. No associations were observed between carbohydrate and protein and sleep parameters. The studies undertaken secondly determined dietary patterns in the same population, and explored the association between these dietary patterns and sleep parameters. Three dietary patterns were identified: the prudent pattern that is characterized by fruits, vegetables and legumes and the western pattern that is characterized by processed meat, snacks, red meat and take-away foods, and the mixed pattern that is a combination of these two patterns. The prudent pattern is associated with faster sleep onset, but no other associations were found between dietary patterns and sleep outcomes. Dietary effects on inflammation have been widely studied, but no studies have linked dietary inflammation with sleep disorders. The final study examined the association between nutrient patterns and inflammation, as well as the interactions between nutrient patterns and obstructive sleep apnoea (OSA), lifestyle factors, and chronic diseases. An animal-sourced pattern (characterized by animal protein, cobalamin, cholesterol and omega-6) was positively associated with inflammation, while a plant-sourced pattern (characterized by beta-carotene, vitamin A, lutein and zeaxanthin) was inversely associated with inflammation. The association between the plant-sourced pattern and CRP was stronger in participants with sedentary lifestyle, high level of OSA, but without diabetes or dyslipidaemia. No associations were found between the vitamin B and folate pattern (characterized by total folate, thiamine, riboflavin and niacin) and inflammatory markers. These studies confirmed the associations between dietary factors and sleep parameters at the population level. A general low fat and plant-based diet may improve sleep. In addition, a comprehensive understanding among diet, sleep disorders and inflammation and chronic diseases is highlighted. These findings have significant implications in public health and clinical management of chronic inflammation.Thesis (Ph.D.) (Research by Publication) -- University of Adelaide, Adelaide Medical School, 2017

Associations between Dietary Patterns and Cardiometabolic Risk Factors&mdash;A Longitudinal Analysis among High-Risk Individuals for Diabetes in Kerala, India

The association between dietary patterns and cardiometabolic risk factors is not well understood among adults in India, particularly among those at high risk for diabetes. For this study, we analyzed the data of 1007 participants (age 30&ndash;60 years) from baseline and year one and two follow-ups from the Kerala Diabetes Prevention Program using multi-level mixed effects modelling. Dietary intake was measured using a quantitative food frequency questionnaire, and dietary patterns were identified using principal component analysis. Two dietary patterns were identified: a &ldquo;snack-fruit&rdquo; pattern (highly loaded with fats and oils, snacks, and fruits) and a &ldquo;rice-meat-refined wheat&rdquo; pattern (highly loaded with meat, rice, and refined wheat). The &ldquo;snack-fruit&rdquo; pattern was associated with increased triglycerides (mg/dL) (&beta; = 6.76, 95% CI 2.63&ndash;10.89), while the &ldquo;rice-meat-refined wheat&rdquo; pattern was associated with elevated Hb1Ac (percentage) (&beta; = 0.04, 95% CI 0.01, 0.07) and central obesity (OR 1.16, 95% CI 1.01, 1.34). These findings may help inform designing dietary interventions for the prevention of diabetes and improving cardiometabolic risk factors in high-diabetes-risk individuals in the Indian setting

Continuous usage intention of mobile health services: model construction and validation

Abstract Background Mobile health (mHealth) services can not give full play to their value if only it is used in the short term, and their continuous usage can achieve better effects in health management. This study aims to explore the factors that affect continuous usage intentions of mHealth services and their mechanism of action. Methods First, considering the uniqueness of health services and social environmental factors, this study constructed an extended Expectation Confirmation Model of Information System Continuance (ECM-ISC) to investigate factors that may influence the intention of continuous usage of mHealth services based on three dimensions, namely individual characteristics, technology and environment. Second, the survey method was used to validate the research model. The questionnaire items were derived from validated instruments and discussed by experts and data were collected both online and offline. The structural equation model was used for data analysis. Results There were 334 avidity questionnaires through cross-sectional data and these participants had used mHealth services ever. The reliability and validity of the test model were good, in which Cronbach’s Alpha values of 9 variables exceeded 0.9, composite reliability 0.8, the average variance extracted value 0.5, and the factor loading 0.8. The modified model had a good fitting effect and strong explanatory power. It accounted for 89% of the variance in expectation confirmation, 74% of the variance in perceived usefulness, 92% of the variance in customer satisfaction, and 84% of the variance in continuous usage intention. Compared with the initial model hypotheses, perceived system quality was deleted according to the heterotrait-monotrait ratio, so paths related to it were deleted; perceived usefulness wasn’t positively associated with customer satisfaction, and its path was also deleted. Other paths were consistent with the initial hypothesis. The two new added paths were that subjective norm was positively associated with perceived service quality (β = 0.704, P < 0.001), and perceived information quality (β = 0.606, P < 0.001). Electronic health literacy (E-health literacy) was positively associated with perceived usefulness (β = 0.379, P < 0.001), perceived service quality (β = 0.200, P < 0.001), and perceived information quality (β = 0.320, P < 0.001). Continuous usage intention was influenced by perceived usefulness (β = 0.191, P < 0.001), customer satisfaction (β = 0.453, P < 0.001), and subjective norm (β = 0.372, P < 0.001). Conclusions The study constructed a new theoretical model including E-health literacy, subjective norm and technology qualities to clarify continuous usage intention of mHealth services, and empirically validated the model. Attention should be paid to E-health literacy, subjective norm, perceived information quality, and perceived service quality to improve continuous usage intention of users and self–management by mHealth Apps managers and governments. This research provides solid evidence for the validity of the expanded model of ECM-ISC in the mHealth field, which can be a theoretical and practical basis for mHealth operators’ product research and development