The association between driving time and unhealthy lifestyles: a cross-sectional, general population study of 386 493 UK Biobank participants.

BACKGROUND: Driving is a common type of sedentary behaviour; an independent risk factor for poor health. The study explores whether driving is also associated with other unhealthy lifestyle factors. METHODS: In a cross-sectional study of UK Biobank participants, driving time was treated as an ordinal variable and other lifestyle factors dichotomized into low/high risk based on guidelines. The associations were explored using chi-square tests for trend and binary logistic regression. RESULTS: Of the 386 493 participants who drove, 153 717 (39.8%) drove <1 h/day; 140 140 (36.3%) 1 h/day; 60 973 (15.8%) 2 h/day; and 31 663 (8.2%) ≥3 h/day. Following adjustment for potential confounders, driving ≥3 h/day was associated with being overweight/obese (OR = 1.74, 95% CI: 1.64-1.85), smoking (OR = 1.48, 95% CI: 1.37-1.63), insufficient sleep (1.70, 95% CI: 1.61-1.80), low fruit/vegetable intake (OR = 1.26, 95% CI: 1.18-1.35) and low physical activity (OR = 1.05, 95% CI: 1.00-1.11), with dose relationships for the first three, but was not associated with higher alcohol consumption (OR = 0.94, 95% CI: 0.87-1.02). CONCLUSIONS: Sedentary behaviour, such as driving, is known to have an independent association with adverse health outcomes. It may have additional impact mediated through its effect on other aspects of lifestyle. People with long driving times are at higher risk and might benefit from targeted interventions.

Men across a range of ethnicities have a higher prevalence of diabetes: findings from a cross-sectional study of 500 000 UK Biobank participants.

AIMS: Studies show that white men have a higher prevalence of Type 2 diabetes mellitus than women at a given age and BMI, but equivalent standardized data for other ethnic groups in the UK are sparse. METHODS: This cross-sectional study analysed UK Biobank data from 489 079 participants to compare the prevalence of diabetes mellitus across four major ethnic groups including: 471 700 (96.4%) white, 7871 (1.6%) South Asian, 7974 (1.6%) black and 1534 (0.3%) Chinese participants, before and after standardizing for age, socio-economic status (SES), BMI and lifestyle factors including physical activity, TV viewing, fruit and vegetable intake, processed meat, red meat, oily fish, alcohol intake and smoking. A subgroup analysis of South Asians was also undertaken. RESULTS: Crude diabetes prevalence was higher in men across all four ethnicities. After standardizing for age, SES, BMI and lifestyle factors, a significant sex difference in diabetes prevalence persisted in white (men 6.0% vs. women 3.6%), South Asian (21.0% vs. 13.8%) and black individuals (13.3% vs. 9.7%) (P < 0.0001); there was a non-significant difference between Chinese men and women (7.1% vs. 5.5%) (P = 0.211). Sex differences persisted across South Asian subgroups. CONCLUSIONS: Men across a range of major ethnic groups including white, South Asian and black, have a higher prevalence of diabetes compared with women of similar age, BMI, SES and lifestyle in the UK.

Interindividual responses to different exercise stimuli among insulin-resistant women.

We aimed to investigate which among 20 cardiometabolic and performance outcomes do and do not respond to high-intensity interval training (HIT), resistance training (RT), or concurrent training (CT) in insulin-resistant adult women. A secondary aim was to report the training-induced changes and the prevalence of non-responders. Forty-five insulin-resistant adult women were randomly assigned to one of the following 4 groups: HIT (39.2 ± 9.5 years [y]; body mass index [BMI], 29.3 ± 3.3; n = 14), RT (33.9 ± 9.3 y; BMI, 29.4 ± 5.5; n = 8), CT (43.3 ± 8.1 y; BMI, 29.1 ± 2.9; n = 10), and a control group (CG, 40.1 ± 11.4 y; BMI, 28.3 ± 3.5; n = 13). Nine body composition, 3 cardiovascular, 3 metabolic, and 5 performance outcomes were assessed at baseline and after 12 weeks of intervention. Considering all outcomes, the lowest number of total non-responses for one or more variables was found in the RT group, followed by the CT and HIT groups. Individuals in the CG group were classified as non-responders for almost all the variables. Moreover, there were several significant changes in body composition and metabolic parameters, including fasting glucose (HIT: -5.7, RT -5.1 mg/d), fasting insulin (HIT: -0.6, RT -0.6 µIU/mL), and HOMA-IR (HIT: -0.3, RT -0.4), in addition to improvements in cardiovascular and performance parameters. Also, there were significant differences among groups in the prevalence of non-responders for the variables where a non-response was detected. Overall, the study suggests that independent of the mode of training including volume and frequency, RT has an important ability to reduce the prevalence of non-response to improve the 20 outcomes of health and performance in insulin-resistant adult women.

Dietary fat and total energy intake modifies the association of genetic profile risk score on obesity: evidence from 48 170 UK Biobank participants.

BACKGROUND: Obesity is a multifactorial condition influenced by both genetics and lifestyle. The aim of this study was to investigate whether the association between a validated genetic profile risk score for obesity (GPRS-obesity) and body mass index (BMI) or waist circumference (WC) was modified by macronutrient intake in a large general population study. METHODS: This study included cross-sectional data from 48 170 white European adults, aged 37-73 years, participating in the UK Biobank. Interactions between GPRS-obesity and macronutrient intake (including total energy, protein, fat, carbohydrate and dietary fibre intake) and its effects on BMI and WC were investigated. RESULTS: The 93-single-nucleotide polymorphism (SNP) GPRS was associated with a higher BMI (ß: 0.57 kg m-2 per s.d. increase in GPRS (95% confidence interval: 0.53-0.60); P=1.9 × 10-183) independent of major confounding factors. There was a significant interaction between GPRS and total fat intake (P(interaction)=0.007). Among high-fat-intake individuals, BMI was higher by 0.60 (0.52, 0.67) kg m-2 per s.d. increase in GPRS-obesity; the change in BMI with GPRS was lower among low-fat-intake individuals (ß: 0.50 (0.44, 0.57) kg m-2). Significant interactions with similar patterns were observed for saturated fat intake (high ß: 0.66 (0.59, 0.73) versus low ß: 0.49 (0.42, 0.55) kg m-2, P(interaction)=2 × 10-4) and for total energy intake (high ß: 0.58 (0.51, 0.64) versus low ß: 0.49 (0.42, 0.56) kg m-2, P(interaction)=0.019), but not for protein intake, carbohydrate intake and fibre intake (P(interaction) >0.05). The findings were broadly similar using WC as the outcome. CONCLUSIONS: These data suggest that the benefits of reducing the intake of fats and total energy intake may be more important in individuals with high genetic risk for obesity.

Association between grip strength and diabetes prevalence in black, South-Asian, and white European ethnic groups: a cross-sectional analysis of 418 656 participants in the UK Biobank study.

AIMS: To quantify the extent to which ethnic differences in muscular strength might account for the substantially higher prevalence of diabetes in black and South-Asian compared with white European adults. METHODS: This cross-sectional study used baseline data from the UK Biobank study on 418 656 white European, black and South-Asian participants, aged 40-69 years, who had complete data on diabetes status and hand-grip strength. Associations between hand-grip strength and diabetes were assessed using logistic regression and were adjusted for potential confounding factors. RESULTS: Lower grip strength was associated with higher prevalence of diabetes, independent of confounding factors, across all ethnicities in both men and women. Diabetes prevalence was approximately three- to fourfold higher in South-Asian and two- to threefold higher in black participants compared with white European participants across all levels of grip strength, but grip strength in South-Asian men and women was ~ 5-6 kg lower than in the other ethnic groups. Thus, the attributable risk for diabetes associated with low grip strength was substantially higher in South-Asian participants (3.9 and 4.2 cases per 100 men and women, respectively) than in white participants (2.0 and 0.6 cases per 100 men and women, respectively). Attributable risk associated with low grip strength was also high in black men (4.3 cases) but not in black women (0.4 cases). CONCLUSIONS: Low strength is associated with a disproportionately large number of diabetes cases in South-Asian men and women and in black men. Trials are needed to determine whether interventions to improve strength in these groups could help reduce ethnic inequalities in diabetes prevalence.

Frailty in Chile: Development of a Frailty Index Score Using the Chilean National Health Survey 2016-2017.

BACKGROUND: The Frailty Index (FI) is used to quantify and summarize vulnerability status in people. In Chile, no development and assessment of a FI have been explored. OBJECTIVE: To develop and evaluate a FI using representative data from Chilean adults aged 40 years and older stratified by sex. DESIGN: Cross-sectional study. SETTING: National representative data from the Chilean National Health Survey 2016-2017 (CNHS 2016-2017). PARTICIPANTS: 3,036 participants older than 40 years with complete data for all variables. MEASUREMENTS: A 49-item FI was developed and evaluated. This FI included deficits from comorbidities, functional limitations, mental health status, physical activity, anthropometry, medications, and falls. A score between 0 and 1 was calculated for each person. Descriptive statistics and linear regression models were employed to evaluate the FI's performance in the population. Comparative analyses were carried out to evaluate the FI score by age (1<60 and ≥ 60 years). RESULTS: The mean FI score was 0.15 (SD:0.09), with a 99% upper limit of 0.46. Scores were greater in women than men (0.17 [SD:0.09]) vs. 0.12 [0.08]); in people older than 80 years (0.22 [0.11]), and in people with ≤8 years of education (0.18 [0.10]) compared with those with >12 years (0.12 [0.08]). The average age-related increase in the FI was 2.3%. When a cut-off point ≥ 0.25 was applied, the prevalence of frail individuals was 11.8% (95% CI: 10.0 to 13.8) in the general population. The prevalence was higher in women 15.9% [95% CI: 13.3 to 18.9] than men 7.4% [95% CI: 5.3 to 10.1]. In a comparative analysis by age, higher FI mean scores and prevalence of frail were observed in people ≥ 60 than younger than 60. CONCLUSIONS: The mean FI score and frailty prevalence were higher in women than men, in people with fewer years of formal education, and incremented markedly with age. This FI can be used for early detection of frailty status focusing on women and middle-aged people as a strategy to delay or prevent frailty-related consequences.

Association between Poor Oral Health and Frailty in Middle-Aged and Older Individuals: A Cross-Sectional National Study.

OBJECTIVES: Older adults with poor oral health may be at higher risk of being pre-frail or frail. However, very few studies have examined this association in Latin American countries and middle-aged individuals. Therefore, we aimed to investigate the association between oral health and frailty status among Chilean adults ≥40 years. DESIGN: Cross-sectional study. SETTING AND PARTICIPANTS: We included 3,036 participants ≥40 years from the Chilean National Health Survey 2016-2017. METHODS: Frailty status was assessed with a 49-item frailty index, while the number of teeth, self-reported oral health, tooth decay, use of prostheses, and oral pain were the oral health conditions included. To assess the association between oral health conditions and frailty, we used multinomial logistic regression models status adjusted for sociodemographic and lifestyle variables. RESULTS: Overall, 40.6% and 11.8% of individuals were classified as pre-frail and frail, respectively. After adjusting for confounders, individuals with ≤20 teeth had a higher likelihood of being frail (odds ratio (OR): 1.94 [95% CI: 1.18-3.20]) than people with >20 teeth. Moreover, people with bad or very bad oral health, as well as oral pain, had a higher likelihood of being pre-frail (OR: 2.04 [95% CI: 1.40-2.97] and OR: 2.92 [95% CI: 1.58-5.39], respectively). Middle-aged individuals with fewer teeth and poor self-reported oral health had a higher likelihood of being pre-frail and frail than people ≥60. CONCLUSIONS AND IMPLICATIONS: Individuals with poor global oral health were more likely to be pre-frail or frail. This association seems to be stronger in people <60 years old. Our results are consistent with previously published reports.

Associations between diet and handgrip strength: a cross-sectional study from UK Biobank.

The aim of the current study was to investigate the association between diet and handgrip strength. The current study included 68,002 participants (age 63.8 ± 2.7 years, 50.3% women, 49.7% men) from UK Biobank. Diet and nutritional data (carotene, retinol, potassium, vitamin C, foliate, vitamin B12, vitamin B6, iron, vitamin E, calcium, magnesium, carbohydrates, protein, polyunsaturated fat, fat, starch and saturated fat) were collected and handgrip strength measured. Associations were compared, stratified by sex, using regression analyses, after adjustment for age, sex, month of assessment, ethnicity, deprivation index, height, comorbidities and total energy intake. The current data revealed negative associations between carbohydrate intake and handgrip strength as well as positive associations between oily fish, retinol and magnesium intake and grip strength in both sexes. In women, positive associations were observed between intake of red meat, fruit and vegetables, vitamin E, iron, vitamin B12, folate and vitamin C and hand grip strength. In men only negative associations were seen between bread and processed meat with grip strength. We have shown associations of several nutrients and food items with muscle strength and appropriately designed trials are needed to investigate whether these nutrients/food items may be beneficial in the maintenance of muscle during ageing.

Associations of dietary protein intake with bone mineral density: An observational study in 70,215 UK Biobank participants.

PURPOSE: Adequate dietary protein intake is important for the maintenance of bone health; however, data in this area is ambiguous with some suggestion that high protein intake can have deleterious effects on bone health. The aim of the current study was to explore the associations of protein intake with bone mineral density (BMD). METHODS: We used baseline data from the UK Biobank (participants aged 40-69 years) to examine the association of protein intake with BMD (measured by ultrasound). These associations were examined, in women (n = 39,066) and men (n = 31,149), after adjustment for socio-demographic and lifestyle confounders and co-morbidities. RESULTS: Protein intake was positively and linearly associated with BMD in women (ß-coefficient 0.010 [95% CI 0.005; 0.015, p < 0.0001]) and men (ß-coefficient 0.008 [95% CI 0.000; 0.015, p = 0.044]); per 1.0 g/kg/day increment in protein intake, independently of socio-demographics, dietary factors and physical activity. CONCLUSIONS: The current data have demonstrated that higher protein intakes are positively associated with BMD in both men and women. This indicates that higher protein intakes may be beneficial for both men and women.

Urinary Sodium Excretion, Blood Pressure, and Risk of Future Cardiovascular Disease and Mortality in Subjects Without Prior Cardiovascular Disease.

Hypertension is a risk factor for cardiovascular disease. Increased urinary sodium excretion, representing dietary sodium intake, is associated with hypertension. Low sodium intake has been associated with increased mortality in observational studies. Further studies should assess whether confounding relationships explain associations between sodium intake and outcomes. We studied UK Biobank participants (n=457 484; mean age, 56.3 years; 44.7% men) with urinary electrolytes and blood pressure data. Estimated daily urinary sodium excretion was calculated using Kawasaki formulae. We analyzed associations between sodium excretion and blood pressure in subjects without cardiovascular disease, treated hypertension, or diabetes mellitus at baseline (n=322 624). We tested relationships between sodium excretion, incidence of fatal and nonfatal cardiovascular disease, heart failure, and mortality. Subjects in higher quintiles of sodium excretion were younger, with more men and higher body mass index. There was a linear relationship between increasing urinary sodium excretion and blood pressure. During median follow-up of 6.99 years, there were 11 932 deaths (1125 cardiovascular deaths) with 10 717 nonfatal cardiovascular events. There was no relationship between quintile of sodium excretion and outcomes. These relationships were unchanged after adjustment for comorbidity or excluding subjects with events during the first 2 years follow-up. No differing risk of incident heart failure (1174 events) existed across sodium excretion quintiles. Urinary sodium excretion correlates with elevated blood pressure in subjects at low cardiovascular risk. No pattern of increased cardiovascular disease, heart failure, or mortality risk was demonstrated with either high or low sodium intake.

Association between adiposity levels and cognitive impairment in the Chilean older adult population.

Although both obesity and ageing are risk factors for cognitive impairment, there is no evidence in Chile on how obesity levels are associated with cognitive function. Therefore, the aim of the present study was to investigate the association between adiposity levels and cognitive impairment in older Chilean adults. This cross-sectional study includes 1384 participants, over 60 years of age, from the Chilean National Health Survey 2009-2010. Cognitive impairment was evaluated using the Mini-Mental State Examination. BMI and waist circumference (WC) were used as measures of adiposity. Compared with people with a normal BMI, the odds of cognitive impairment were higher in participants who were underweight (OR 4·44; 95 % CI 2·43, 6·45; P < 0·0001), overweight (OR 1·86; 95 % CI 1·06, 2·66; P = 0·031) and obese (OR 2·26; 95 % CI 1·31, 3·21; P = 0·003). The associations were robust after adjustment for confounding variables. Similar results were observed for WC. Low and high levels of adiposity are associated with an increased likelihood of cognitive impairment in older adults in Chile.

Adiposity among 132 479 UK Biobank participants; contribution of sugar intake vs other macronutrients.

Background: Policy makers are being encouraged to specifically target sugar intake in order to combat obesity. We examined the extent to which sugar, relative to other macronutrients, was associated with adiposity. Methods: We used baseline data from UK Biobank to examine the associations between energy intake (total and individual macronutrients) and adiposity [body mass index (BMI), percentage body fat and waist circumference]. Linear regression models were conducted univariately and adjusted for age, sex, ethnicity and physical activity. Results: Among 132 479 participants, 66.3% of men and 51.8% of women were overweight/obese. There was a weak correlation (r = 0.24) between energy from sugar and fat; 13% of those in the highest quintile for sugar were in the lowest for fat, and vice versa. Compared with normal BMI, obese participants had 11.5% higher total energy intake and 14.6%, 13.8%, 9.5% and 4.7% higher intake from fat, protein, starch and sugar, respectively. Hence, the proportion of energy derived from fat was higher (34.3% vs 33.4%, P < 0.001) but from sugar was lower (22.0% vs 23.4%, P < 0.001). BMI was more strongly associated with total energy [coefficient 2.47, 95% confidence interval (CI) 2.36-2.55] and energy from fat (coefficient 1.96, 95% CI 1.91-2.06) than sugar (coefficient 0.48, 95% CI 0.41-0.55). The latter became negative after adjustment for total energy. Conclusions: Fat is the largest contributor to overall energy. The proportion of energy from fat in the diet, but not sugar, is higher among overweight/obese individuals. Focusing public health messages on sugar may mislead on the need to reduce fat and overall energy consumption.

Association between worldwide dietary and lifestyle patterns with total cholesterol concentrations and DALYs for infectious and cardiovascular diseases: an ecological analysis.

Global dietary and lifestyle trends are primary risk factors for communicable and non-communicable diseases. An ecological analysis was conducted to examine the association of global dietary and lifestyle patterns with total cholesterol concentrations. This study also investigated whether total cholesterol modified the association between dietary and lifestyle habits with disability-adjusted-life-years-lost (DALYs) for infectious and cardiovascular diseases (CVDs). Country-specific mean total cholesterol concentrations and DALYs for infectious and CVDs were obtained. Data were then matched to country-specific food and energy availability for consumption and information on obesity, physical inactivity, urbanization, gross domestic product (GDP), life expectancy and smoking. Stepwise multiple regression models were developed to identify significant predictors of total cholesterol concentrations and DALYs for infectious and CVDs. Life expectancy and egg and meat consumption were significantly associated with cholesterol concentrations. DALYs for infectious diseases were associated with smoking, life expectancy and per capita GDP. Smoking was the only predictor of DALYs for CVDs. The improvement of socio-demographic conditions and economic growth is likely to reduce the burden of communicable diseases in developing countries. A concurring increase in non-communicable diseases is expected, and these results have, yet again, identified smoking as a primary risk factor for CVDs.

Associations between FTO genotype and total energy and macronutrient intake in adults: a systematic review and meta-analysis.

Risk variants of fat mass and obesity-associated (FTO) gene have been associated with increased obesity. However, the evidence for associations between FTO genotype and macronutrient intake has not been reviewed systematically. Our aim was to evaluate the potential associations between FTO genotype and intakes of total energy, fat, carbohydrate and protein. We undertook a systematic literature search in OVID MEDLINE, Scopus, EMBASE and Cochrane of associations between macronutrient intake and FTO genotype in adults. Beta coefficients and confidence intervals (CIs) were used for per allele comparisons. Random-effect models assessed the pooled effect sizes. We identified 56 eligible studies reporting on 213,173 adults. For each copy of the FTO risk allele, individuals reported 6.46 kcal day(-1) (95% CI: 10.76, 2.16) lower total energy intake (P = 0.003). Total fat (P = 0.028) and protein (P = 0.006), but not carbohydrate intakes, were higher in those carrying the FTO risk allele. After adjustment for body weight, total energy intakes remained significantly lower in individuals with the FTO risk genotype (P = 0.028). The FTO risk allele is associated with a lower reported total energy intake and with altered patterns of macronutrient intake. Although significant, these differences are small and further research is needed to determine whether the associations are independent of dietary misreporting.