Intakes of nutrients and food categories in Canadian children and adolescents across levels of sugars intake: Cross-sectional analyses of the Canadian Community Health Survey 2015 Public Use Microdata File

Dietary recommendations to reduce sugars consumption may influence choices of sugars-containing foods and affect the intake of key micronutrients. We compared intakes of nutrients and food sources stratified by quintiles of total sugars in Canadian children (2-8y) and adolescents (9-13y, 14-18y) using 24-hour dietary recalls from the 2015 Canadian Community Health Survey-Nutrition. Energy intakes did not differ across quintiles of sugars intake. Those with lower sugars intakes (Q1/Q3) generally had higher protein, fat, sodium, niacin, folate and zinc and lower vitamin C compared to those with the highest sugars intakes (Q5). Q1 also had lower potassium but higher saturated fat compared to Q5. Further, Q1 generally had higher protein, fats and niacin compared to Q3, while children in Q3 had higher potassium and riboflavin and older adolescents had higher calcium and fibre. Q5 had highest intakes of multiple sugar-containing food categories (e.g. fruit, confectionary, milks, cakes/pies/pastries), with higher sugars-sweetened beverages in adolescents. Q3 had higher fruit, milks and fruit juice compared to Q1 and lower sugars/syrups/preserves, confectionary, and fruit juices compared to Q5. Certain nutrient-dense food sources of sugars (fruit, milks) may help increase key nutrients (potassium, calcium, fibre) in older adolescents with low sugars intakes. However, in those with the highest sugars intakes, nutrient-poor foods may displace nutrient-dense foods. Novelty: • Canadian children and adolescents with lower sugars intake have better intakes of some nutrients • Energy intakes did not differ across sugars intake • Older adolescents with mean intakes of total sugars had better intakes of some key nutrients (potassium, calcium, fibre)

Trends in Partial Disability-Free Life Expectancy between the Ages of 45 and 70 in Canada, 2000–2014

To better evaluate the benefits of a possible increase in the normal retirement age, this article proposes to examine recent trends in the health status of Canadians between 45 and 70 years of age. Using the Sullivan method, trends from 2000 to 2014 in partial disability-free life expectancy (PDFLE) between the ages of 45 and 70 years are computed. Disability is estimated using attributes of the Health Utility Index correlated with the capacity to work, and is looked at by level of severity. Data from the Canadian Community Health Survey were used to estimate the prevalence of disability. Results reveal a slight increase in partial life expectancy between the ages of 45 and 70, and a larger number of those years spent in poor health since the beginning of the 2000s. Hence, this study brings no evidence in support of the postponement of the normal retirement age if this policy were solely based on gains in life expectancy.

Emotional Regulation Activities Moderates the Risk of Depression in People With Sleep Disturbance: Evidence From a Community Health Survey

Background and Objective It is widely known that poor sleep quality is closely related to depression, but there are limited studies on the mediating factors.Methods Based on national health survey data, the relationship between sleep quality and depressive symptoms was explored, and structural equations were drawn to determine whether emotional regulation activities, such as regular breakfast, regular exercise, smoking, and drinking contribute to poor sleep quality-induced depression.Results There was a significant correlation between poor sleep quality and depressive symptoms. Regular breakfast tended to mediate between poor sleep quality and depression the most, followed by smoking, drinking, and regular exercise.Conclusions Several emotional regulation activities including regular breakfast, can play a protective role in the process leading to poor sleep quality-induced depression. A follow-up study is required to examine the clinical aspect of how regular breakfast can prevent the process of poor sleep quality to depression.

Association Between Age and Sleep Quality: Findings From a Community Health Survey

Background and Objective This study aimed to investigate the changes in sleep quality with increasing age and the effect of age on the components of the Pittsburgh Sleep Quality Index (PSQI).Methods We used data from the Community Health Survey conducted by the Korea Center for Disease Control and Prevention in 2018. A total of 228340 participants in this nationwide survey. Sleep quality was assessed using the PSQI. Adults aged ≥ 19 years were divided into six age groups and one-way analysis of variance (one-way ANOVA) was used to compare the mean values of PSQI of each group. By comparing the scores for each PSQI component in those aged ≥ 65 years and < 65 years, we aimed to reveal the differences in special components according to age group.Results In total, 223334 respondents were included in the study. Based on a one-way ANOVA, the PSQI score generally increased with age. Although the average PSQI score of patients in their 40s was lower than that of patients in their 30s, there was no significant difference between the two groups (p = 0.11). When the PSQI component was compared between the population aged over and under 65 years, the population aged ≥ 65 years scored higher in most components. In contrast, daytime dysfunction scored higher in the population aged < 65 years.Conclusions Sleep quality tends to decrease with increasing age. Several factors, including physiological changes, underlying physical conditions, and psychosocial factors, may contribute to a decrease in sleep quality with age.

Nutrient Intakes of Canadian Children and Adolescents: Results from the Canadian Community Health Survey (CCHS) 2015 – Nutrition Public Use Microdata Files

Background: Up-to-date and appropriate estimates of the usual intakes of key nutrients are crucial for monitoring the nutritional adequacy of the Canadian population. Comprehensive, nationally-representative nutrient estimates for Canadian children and adolescents are available using data from the Canadian Community Health Survey (CCHS) – Nutrition 2004, however results are scarce for the most-recent 2015 data. The objective of this research was to assess nutrient intakes of Canadian children and adolescents using data from the CCHS 2015 Public Use Microdata Files (PUMF) Methods: Participants’ first 24-hr dietary recall, and the second-day recall from a subset of participants were used to estimate usual intakes of macronutrients, vitamins and minerals in children and adolescents (2-18 years). Usual intakes by Dietary Reference Intake (DRI) age-sex groups were estimated using the National Cancer Institute (NCI) method, adjusted for age, sex, misreporting status, weekend/weekday, and sequence of recall analyzed (first/second), with consideration for outliers (N=5,493). Usual intakes from food and beverages were assessed for prevalence of inadequacy in relation to the DRI recommendations. Results: Children 2-3y consumed a percentage of total energy from protein above the Acceptable Macronutrient Distribution Range (AMDR). Among children and adolescents, 71% met the AMDR for carbohydrates and 63-71% met the AMDR for total fat. With the exception of calcium and vitamin D, a very low prevalence (<10%) of inadequate intakes was observed for select micronutrients among Canadian children 2-8y, while a substantial proportion of adolescents (>15%) did not meet requirements for vitamin A, vitamin C, vitamin D, calcium, magnesium and zinc.Conclusions: Canadian children and adolescents may not be meeting recommendations for short fall nutrients such as calcium, potassium, vitamin A and vitamin D. Fibre intake continues to remain low, while sodium intake exceeded recommendations. These findings provide important, updated baseline estimates on the nutrient intakes of this subpopulation in Canada for continued monitoring of adherence to the 2019 Canada’s Food Guide and may be useful to inform future public health nutrition policies, programs and initiatives.

Weight Change Is Associated with Osteoporosis: A Cross Sectional Study Using the Korean Community Health Survey

The purpose of the present study was to analyze the associations between weight change and osteoporosis in Korean adults. Methods: Data from the 2016 Korean Community Health Survey were analyzed. A total of 159,741 participants who were ≥40 years of age were included. The histories of osteoporosis were surveyed in two ways: ‘osteoporosis for entire life’ and ‘current osteoporosis’. The participants were grouped into three categories for simplification as follows: ‘Weight L&M’ (Tried to lose weight or Tried to maintain weight), ‘Weight gain’ (Tried to gain weight), and ‘Never tried’. Additionally, we analyzed their relationship with obesity using the BMI. Results: The adjusted ORs for ‘osteoporosis for entire life’ were 1.20 (95% confidence interval [CI] 1.13–1.27) in the Weight L&M group and 1.83 (95% CI 1.64–2.05) in the Weight gain group. The adjusted ORs for ‘current osteoporosis’ were 1.16 (95% CI 1.08–1.25) in the Weight L&M group and 1.77 (95% CI 1.54–2.02) in the Weight gain group. Conclusions: Compared to the Never tried group, being in either the Weight L&M or Weight gain groups showed a significant impact on the possibility of osteoporosis.