This study aimed to explore the combined association between the dietary antioxidant quality score (DAQS) and leisure-time physical activity on sleep patterns in cancer survivors. Data of cancer survivors were extracted from the National Health and Nutrition Examination Surveys (NHANES) database in 2007-2014 in this cross-sectional study. Weighted multivariable logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association of DAQS and leisure-time physical activity on sleep patterns. The combined association was also assessed in subgroups of participants based on age, and use of painkillers and antidepressants. Among the eligible participants, 1,133 had unhealthy sleep patterns. After adjusting for covariates, compared to low DAQS level combined with leisure-time physical activity level <600 MET·min/week, high DAQS level combined with leisure-time physical activity ≥600 MET·min/week was associated with lower odds of unhealthy sleep patterns (OR=0.41, 95%CI: 0.23-0.72). Additionally, the association of high DAQS level combined with high leisure-time physical activity with low odds of unhealthy sleep patterns was also significant in <65 years old (OR=0.30, 95%CI: 0.13-0.70), non-painkiller (OR=0.39, 95%CI: 0.22-0.71), non-antidepressant (OR=0.49, 95%CI: 0.26-0.91) and antidepressant (OR=0.11, 95%CI: 0.02-0.50) subgroups. DAQS and leisure-time physical activity had a combined association on sleep patterns in cancer survivors. However, the causal associations of dietary nutrient intake and physical activity with sleep patterns in cancer survivors needs further clarification.

Muscle mass may play an important role in the metabolic profile of individuals with or without excess weight. Metabolic phenotypes classify individuals as healthy or unhealthy based on certain metabolic conditions. We investigated the association between skeletal mass indices (SMI) and the metabolically unhealthy phenotype in normal-weight and overweight/obese adults. A total of 660 adults aged 20 to 59 years were assessed by a population-based cross-sectional study. Muscle mass of the limbs or appendicular lean mass (ALM) adjusted for weight (SMIweight) and BMI (SMIBMI) was used to evaluate SMI. Logistic regression was employed to estimate the association between SMIweight, SMIBMI and metabolic phenotypes of normal-weight and overweight/obese individuals. Metabolically unhealthy individuals were older in both sexes. Metabolically unhealthy men had lower SMI values and higher fat percentage than metabolically healthy men. SMIweight was inversely associated with the metabolically unhealthy phenotype, both in normal-weight men (OR 0·49, 95 % CI 0·24, 0·99, P = 0·04) and in overweight/obese men (OR 0·32, 95 % CI 0·16, 0·64, P = 0·001). SMIBMI was inversely associated with the metabolically unhealthy phenotype in overweight/obese men (OR 0·36, 95 % CI 0·18, 0·72, P = 0·004), but not in normal-weight men (OR 0·70, 95 % CI 0·34, 1·43, P = 0·33). Among women, SMI showed no significant association with the phenotypes. In conclusion, the SMI are inversely associated with the metabolically unhealthy phenotype in men, especially among overweight/obese men.

Relatively few older adults are physically active despite extensive research exploring barriers and facilitators and concomitant interventions designed to enhance participation rates. Building on the growing literature that considers the subjective experience of being physically active, we explored the meanings that older Canadian men attributed to physical activity broadly defined. Thus, we examined their experiences and perceptions of exercise, sport and/or leisure-time physical activities. Data are presented from qualitative interviews with 22 community-dwelling Canadian men aged 67–90. Our analysis resulted in three overarching categories that subsumed the men's understanding of physical activity. ‘I do it for my health’ described how the men stated that their primary reason for engaging in exercise was to maintain their health and body functionality so that they could age well and continue to participate in sport and leisure. ‘It feels good’ referred to the various ways that the men derived pleasure from being active, including the physical sensations, psychological benefits and social connections they derived from their participation. ‘It gets tougher’ detailed the ways that the men were finding physical activity to be increasingly difficult as a result of the onset of health problems, declining body functionality and the social realities of ageing. We discuss our findings in light of the extant literature concerning age relations, ageism, and the third and fourth ages.

The aim of this study was to estimate genetic and environmental influences on the longitudinal evolution of leisure-time physical activity habits from adolescence to young adulthood. Data were gathered at four time points, at mean ages 16.2, 17.1, 18.6, and 24.5 years. At baseline, the sample comprised 5,216 monozygotic and dizygotic twins, born 1975–1979, and, at the last follow-up point, of 4,531 monozygotic and dizygotic twins. Physical activity volume was assessed as frequency of leisure-time physical activity and participants were categorized into three groups: inactive, moderately active, and active. Genetic and environmental influences were estimated using a multivariate, longitudinal Cholesky decomposition with a ‘multifactorial liability threshold’ approach. The results suggest that, in both sexes the heritability of leisure-time physical activity remained moderate (~43–52%) during adolescence, declining to ~30% in young adulthood. Shared environmental influences increased from adolescence (~18–26%) to young adulthood (43% in men and 49% in women). Specific environmental influences remained relatively stable during the total follow-up (~20–30%). New genetic, shared, and specific environmental influences at every follow-up point were suggested by the low correlations across occasions. In conclusion, the study demonstrated gender differences in genetic influences in the evolution of leisure-time physical activity habits from adolescence to young adulthood. However, shared environmental influences, especially in women, were crucial in explaining longitudinal changes in leisure-time physical activity. These outcomes emphasize the need of gender-specific measures to promote physical activity habits during young adulthood.

Diet and physical activity are considered to be major components of a healthy lifestyle. However, few studies have examined in detail the relationships between specific types of physical activity, sedentary behaviour and diet in adults. The objective of the present study was to assess differential relationships between dietary patterns, leisure-time and occupational physical activities and time spent watching television (TV), as an indicator of sedentary behaviour, in middle-aged French subjects. We performed a cross-sectional analysis using data from 1359 participants in the SUpplémentation en VItamines et Minéraux AntioXydants study, who completed a detailed physical activity questionnaire and at least six 24 h dietary records. Sex-specific dietary patterns were derived using factor analysis; their relationships with leisure-time and occupational physical activities and TV viewing were assessed using ANCOVA, after adjustment for age, educational level and smoking status. Three dietary patterns were identified in each sex. After adjustment for potential confounders, leisure-time physical activity was positively associated with a ‘healthy’ food pattern in both men (P for trend < 0·01) and women (P for trend < 0·03) and negatively associated with an ‘alcohol/meat’ pattern in men (P for trend < 0·01). TV viewing was positively associated with a ‘convenience’ pattern in men and with a ‘alcohol-appetiser’ pattern in women. In conclusion, identification of relationships between dietary patterns, physical activity and sedentary behaviour can enable identification of different types of lifestyle and should help to target at-risk groups in nutrition prevention programmes.

The prevalence of obesity continues to rise with many factors contributing to energy imbalance. Leisure-time physical activity (LTPA) has been proposed as one solution to counteract increasing energy intakes. The present study determined whether age, birth cohort and period of survey had independent effects on time, volume and energy expended in LTPA by Australian adults from 1990 to 2005. Adults were categorised into twelve age groups (5-year intervals from 20–24 years to >75 years), four survey periods (1990, 1995, 2000 and 2005) and fifteen birth cohorts (5-year intervals from pre-1916 to 1985). Time spent in three categories of LTPA was determined and metabolic equivalent (MET) values of 3·3, 4·0 and 8·0 were assigned for walking, moderate and vigorous activities, respectively, to calculate daily volume (MET minutes). Energy expended in LTPA was calculated using estimated BMR (from self-reported weight and published formulae), multiplied by the MET value. Regression models were fitted to the data. Age and period had independent effects on duration, volume and energy expenditure of LTPA for both males (P < 0·01) and females (P < 0·01), while birth cohort had independent effects for males only such that all three LTPA factors declined with recency of birth cohort (P < 0·01). This indicates that more recent birth cohorts of males may need to be targeted to increase LTPA, but as duration, volume and energy expended in leisure time have been declining since 1990, both the sexes may benefit from the promotion of increased LTPA.

The aim of the present study was to determine the relationship of BMI with other cardiovascular risk factors, leisure-time physical activity and diet. Participants were recruited in a cross-sectional population-based survey in a southern-Europe Mediterranean population (Spain); cardiovascular risk factors were measured, and leisure-time physical activity and diet intake were evaluated. Linear regression analysis adjusted for several confounders showed a significant, direct association of BMI and total cholesterol (P<0·005) and LDL-cholesterol (P<0·006), in men. HDL-cholesterol was inversely related to BMI in both sexes (P<0·0001). Higher BMI was more frequent in less-active men (P<0·04) but not in women. BMI increased significantly (P<0·0001) by 1·92 kg/m2 with each 4·18 MJ consumed in men but not in women. Dietary intakes of carbohydrate (P<0·03), total fat (P<0·03) and saturated fatty acids (P<0·02) were directly associated with BMI in men but not in women, in whom protein intake was correlated (P<0·001) with BMI. Linear regression models including dietary components explained up to 10·6 and 21·1 % of BMI variability in men and women, respectively. Sex differences in the association of BMI with total cholesterol, and LDL-cholesterol, may account for the lower risk for CHD in women compared with men of similar BMI reported in the literature for the southern-Europe Mediterranean region. An increases of BMI may be more deleterious in populations in which it is accompanied by other risk factors such as a higher intake of total fat and, particularly, of saturated fatty acids, or lower leisure-time physical activity.