Do physical activity, commuting mode, cardiorespiratory fitness and sedentary behaviours modify the genetic predisposition to higher BMI? Findings from a UK Biobank study.

OBJECTIVE: To investigate whether the association between a genetic profile risk score for obesity (GPRS-obesity) (based on 93 SNPs) and body mass index (BMI) was modified by physical activity (PA), cardiorespiratory fitness, commuting mode, walking pace and sedentary behaviours. METHODS: For the analyses we used cross-sectional baseline data from 310,652 participants in the UK Biobank study. We investigated interaction effects of GPRS-obesity with objectively measured and self-reported PA, cardiorespiratory fitness, commuting mode, walking pace, TV viewing, playing computer games, PC-screen time and total sedentary behaviour on BMI. Body mass index (BMI) was the main outcome measure. RESULTS: GPRS-obesity was associated with BMI (ß:0.54 kg.m-2 per standard deviation (SD) increase in GPRS, [95% CI: 0.53; 0.56]; P = 2.1 × 10-241). There was a significant interaction between GPRS-obesity and objectively measured PA (P[interaction] = 3.3 × 10-11): among inactive individuals, BMI was higher by 0.58 kg.m-2 per SD increase in GPRS-obesity (p = 1.3 × 10-70) whereas among active individuals the relevant BMI difference was less (ß:0.33 kg.m-2, p = 6.4 × 10-41). We observed similar patterns for fitness (Unfit ß:0.72 versus Fit ß:0.36 kg.m-2, P[interaction] = 1.4 × 10-11), walking pace (Slow ß:0.91 versus Brisk ß:0.38 kg.m-2, P[interaction] = 8.1 × 10-27), discretionary sedentary behaviour (High ß:0.64 versus Low ß:0.48 kg.m-2, P[interaction] = 9.1 × 10-12), TV viewing (High ß:0.62 versus Low ß:0.47 kg.m-2, P[interaction] = 1.7 × 10-11), PC-screen time (High ß:0.82 versus Low ß:0.54 kg.m-2, P[interaction] = 0.0004) and playing computer games (Often ß:0.69 versus Low ß:0.52 kg.m-2, P[interaction] = 8.9 × 10-10). No significant interactions were found for commuting mode (car, public transport, active commuters). CONCLUSIONS: Physical activity, sedentary behaviours and fitness modify the extent to which a set of the most important known adiposity variants affect BMI. This suggests that the adiposity benefits of high PA and low sedentary behaviour may be particularly important in individuals with high genetic risk for obesity.

Associations of Dietary Protein Intake With Fat-Free Mass and Grip Strength: A Cross-Sectional Study in 146,816 UK Biobank Participants.

Adequate dietary protein intake is important for the maintenance of fat-free mass (FFM) and muscle strength, but optimal requirements remain unknown. Our aim in the current study was to explore the associations of protein intake with FFM and grip strength. We used baseline data from the UK Biobank (a study of 146,816 participants aged 40-69 years with data collected across the United Kingdom in 2007-2010) to examine the associations of protein intake with FFM and grip strength. Protein intake was positively associated with FFM (men: 5.1% (95% confidence interval (CI): 5.0, 5.2); women: 7.7% (95% CI: 7.7, 7.8)) and grip strength (men: 0.076 kg/kg (95% CI: 0.074, 0.078); women: 0.074 kg/kg (95% CI: 0.073, 0.076)) per 0.5-g/kg/day (grams per kg of body mass per day) increment in protein intake. FFM and grip strength were higher with higher intakes across the full range of intakes (i.e., highest in persons who reported consuming ≥2.00 g/kg/day) independently of sociodemographic factors, other dietary measures, physical activity, and comorbidity. FFM and grip strength were lower with age, but this association did not differ by category of protein intake (P > 0.05). The current recommendation for all adults (ages 40-69 years) to maintain a protein intake of 0.8 g/kg/day may need to be increased to optimize FFM and grip strength.

Joint effect of physical activity and sedentary behaviour on cardiovascular risk factors in Chilean adults.

Background: To investigate the associations between combined categories of moderate-to-vigorous physical activity (MVPA) and sedentary behaviour (SB) with markers of adiposity and cardiovascular risk in adults. Methods: Overall, 5040 participants (mean age 46.4 years and 59.3% women) from the cross-sectional Chilean National Health Survey 2009-2010 were included in this study. MVPA and SB were measured using the Global Physical Activity questionnaire. Four categories were computed using MVPA- and SB-specific cut-offs ('High-SB & Active', 'Low-SB & Active', 'High-SB & Inactive' and 'Low-SB & Inactive'). Results: Compared to the reference group ('High-SB & Inactive'), those in 'High-SB & Active' and 'Low-SB & Active' were less likely to have an obese BMI (OR: 0.67 [0.54; 0.85], P = 0.0001 and 0.74 [0.59; 0.92] P = 0.0007, respectively) and less likely to have metabolic syndrome (OR: 0.63 [0.49; 0.82], P < 0.0001 and 0.72 [0.57; 0.91], P = 0.007), central obesity (OR: 0.79 [0.65; 0.96], P = 0.016 and 0.71 [0.59; 0.84], P < 0.0001), diabetes (OR: 0.45 [0.35; 0.59], P < 0.0001 and 0.44 [0.34; 0.56], P < 0.0001) and hypertension (OR: 0.52 [0.43; 0.63], P < 0.0001 and 0.60 [0.50; 0.72], P < 0.0001), respectively. Conclusions: Being physically active and spending less time in SBs was associated with lower adiposity and improvements in cardiovascular risk factors.

Active commuting is associated with a lower risk of obesity, diabetes and metabolic syndrome in Chilean adults.

Background: There is limited evidence on how active commuting is associated with health benefits in developing countries. The aim of this study therefore was to investigate the associations between active commuting and markers of adiposity and cardiometabolic risk in the Chilean adult population. Methods: In total, 5157 participants from the Chilean National Health Survey 2009-10 were included in this cross-sectional study. Active commuting was measured using the Global Physical Activity Questionnaire (GPAQ v2). Body mass index (BMI) and waist circumference (WC) were measured and used to define obesity and central obesity. Type 2 diabetes (T2D) and metabolic syndrome were determined using WHO and updated ATPIII-NCEP criteria, respectively. Results: The main finding of this study is that a 30 min increase in active commuting is associated with lower odds for BMI > 25.0 kg m-2 (0.93 [95% CI: 0.88-0.98, P = 0.010]). Similarly, the odds for central obesity was 0.87 [0.82-0.92, P < 0.0001]. Similar associations were found for T2D (0.81 [0.75-0.88], P < 0.0001) and metabolic syndrome (OR: 0.86 [0.80-0.92], P < 0.0001). Conclusion: Our findings show that active commuting is associated with lower adiposity and a healthier metabolic profile including lower risk for obesity, diabetes and metabolic syndrome.

[Levels of physical activity and excess body weight in university students]. / Factores de riesgo asociados a bajo nivel de actividad física y exceso de peso corporal en estudiantes universitarios.

BACKGROUND: University students are considered a vulnerable group due to their adoption of unhealthy diets and lifestyles. AIM: To determine the main risk factors associated with low level of physical activity and excess body weight in university students. MATERIAL AND METHODS: This cross-sectional study included 358 university students from Talca, (53% female). Sociodemographic, academic, health, lifestyle, nutritional status, physical activity and sedentary behavior variables were analyzed by logistic regression. RESULTS: Men were more likely to present excess body weight than women (Odds ratio (OR): 2.16 [95% CI: 1.17-4.01], p = 0.01). Similarly, those with low level of physical activity (OR: 2.13 [95% CI: 1.10-414], p = 0.03), musculoskeletal injuries (OR: 2.43 [95% CI: 1.09-6.34], p = 0.05) and smokers (OR: 2.09 [95% CI: 1.05-4.14], p = 0.04) were more likely to have excess body weight. Individuals with excess body weight (OR: 2.94 [95% CI: 1.31-6.61], p < 0.01), high sedentary behaviors (OR: 2.01 [95% CI: 1.04-4.55], p = 0.04), those who spent more than 7 hours per week studying (OR: 2.11 [95% CI: 1.06-4.66], p = 0.04), and those with presence of musculoskeletal injuries (OR: 1.49 [95% CI: 1.06- 3.66], p = 0.04) were more likely to be physically inactive. In addition, men were 73% less likely to have low physical activity levels compared to women (OR: 0.27 [95% CI: 0.11-0.56], p < 0.01). CONCLUSIONS: University students have several modifiable risk factors associated with low levels of physical activity and excess weight. Healthy lifestyles promotion should modify these risk behaviors.

[Correlates of sedentary behaviors in Chile: evidence from the National Health Survey 2009-2010]. / Factores asociados a sedentarismo en Chile: evidencia de la Encuesta Nacional de Salud 2009-2010.

BACKGROUND: Sedentary behaviors are one of the major risk factors for cardiovascular diseases. AIM: To identify factors associated with high sedentary behaviors in the Chilean population. MATERIAL AND METHODS: We included 5,040 participants from the Chilean National Health Survey 2009-2010. Physical activity level and sedentary behavior (sitting time) were measured using the Global Physical Activity Questionnaire (GPAQ v2). Highly sedentary behaviors were determined as > 4 hours per day of sitting time. Logistic regression was used to identify correlates of highly sedentary behavior. RESULTS: Forty seven percent of the study population reported spending more than 4 hours per day sitting. The prevalence was higher in women. The main factors associated with high sedentary behavior were: high income levels (Odds ratio (OR):1.91 [95% Confidence intervals (CI:1.61-2.27]); being woman (OR:1.39 [95% CI:1.24-1.56]): having central obesity (OR:1.15 [95% CI:1.02-1.30]), being physically inactive (OR:2.35 [95% CI:2.06-2.68]), and living in an urban area (OR:1.92 [95% CI:1.63-2.26]). Other factors associates with high sedentary behavior were: being smoker, having a television set, computer and private car at their homes. Participants reporting a poor self-reported health and wellbeing and those with diabetes or metabolic syndrome were more likely to be highly sedentary. CONCLUSIONS: The main factors associated with high levels of sedentary behavior are socio-demographic issues, lifestyles and health status.

[Risk of cognitive impairment among older people with diabetes or family history of the disease]. / Asociación entre diabetes mellitus tipo 2, historia familiar de diabetes y deterioro cognitivo en adultos mayores chilenos.

BACKGROUND: Although cardiovascular risk factors are associated with an impaired cognitive function, the impact of diabetes on cognitive function in Chilean adults is unknown. AIM: To investigate the association of diabetes or family history of the disease with cognitive impairment in older adults. MATERIALS AND METHODS: Data from the 2009-2010 Chilean National Health Survey including 1,384 participants aged ≥ 60 years were included in this study. A score below 13 points for the Mini Mental State Examination (MMSE) was considered an indication of cognitive impairment. Logistic regression analyses were performed to assess the association between MMSE, diabetes and family history of the disease. RESULTS: Cognitive impairment increased with age (Odds ratio (OR): 1.83 [95% confidence intervals (CI): 1.53; 2.19], p < 0.01, per 5 years increment in age). This trend was greater in individuals with diabetes (OR: 2.37 [95% CI: 1.68; 3.35], p < 0.01) compared to those without the disease. A similar trend was identified among individuals with a family history of diabetes compared to those without. CONCLUSIONS: Older adults with diabetes are more susceptible to develop cognitive impairment.

[Association between FTO (ns9939609) genotype and adiposity markers in Chilean adults]. / Asociación entre el polimorfismo rs9939609 del gen FTO y marcadores de adiposidad en población adulta chilena.

BACKGROUND: Numerous studies have identified the role of Fat-mass-associated-gene (FTO) in the development of obesity. AIM: To investigate the association of FTO gene with adiposity markers in Chilean adults. MATERIAL AND METHODS: 409 participants were included in this cross-sectional study. The association between FTO (rs9939609) genotype and adiposity markers was determined using linear regression analyses. Adiposity markers included were: body weight, body mass index, fat mass, waist circumference, hip circumference and waist/hip ratio. RESULTS: A fully adjusted model showed a significant association between FTO genotype and body weight (2.16 kg per each extra copy of the risk allele [95% confidence intervals (CI): 0.45 to 3.87], p = 0.014), body mass index (0.61 kg.m-2 [95% CI: 0.12 to 1.20], p = 0.050) and fat mass (1.14% [95% CI: 0.39 to 1.89], p = 0.010). The greater magnitude of association was found between the FTO gene and fat mass when the outcomes were standardized to z-score. CONCLUSIONS: This study confirms an association between the FTO gene and adiposity markers in Chilean adults, which is independent of major confounding factors.

[Association of physical inactivity with obesity, diabetes, hypertension and metabolic syndrome in the chilean population]. / No cumplir con las recomendaciones de actividad física se asocia a mayores niveles de obesidad, diabetes, hipertensión y síndrome metabólico en población chilena.

BACKGROUND: Physical inactivity is an important cardiovascular risk factor. AIM: To investigate the association of physical inactivity with obesity, metabolic markers, type 2 diabetes mellitus, hypertension and metabolic syndrome in Chilean adults. MATERIAL AND METHODS: Participants from the National Health Survey 2009-10 (n = 5,157) were included in this study. Body mass index, waist circumference, metabolic markers (blood glucose, glycosylated hemoglobin and lipid profile) were the outcomes. Type 2 diabetes, hypertension and metabolic syndrome were determined using international criteria. Physical activity levels were determined using the Global Physical Activity Questionnaire and physical inactivity was defined as < 600 METs/minutes/week. RESULTS: Compared to their physically active peers, inactive men and women had a higher odds ratio (OR) for obesity (OR: 1.77 [95% confidence intervals (CI): 1.29-2.42], p < 0.01 and 1.25 [95% CI: 102-1.54], p < 0.035, respectively), diabetes (OR: 2.47 [1.80-3.38], p < 0.01 and 1.72 [1.35-2.19], p = 0.002, respectively) and hypertension (OR: 1.66 [1.31-2.09], p < 0.01 and 1.83 [1.54-2.18] respectively. An association of physical inactivity with central obesity and metabolic syndrome was observed only in men (OR: 1.92 [1.42- 2.58], p < 0.01 and 1.74 [1.23-2.47], p < 0.01, respectively). CONCLUSIONS: Not meeting the physical activity recommendations is associated with obesity, diabetes, hypertension and metabolic syndrome, which are important cardiovascular risk factors.

[Risk factors associated with hypertension. Analysis of the 2009-2010 Chilean health survey]. / Factores de riesgo asociados al desarrollo de hipertensión arterial en Chile.

BACKGROUND: High blood pressure is one of the major risk factors for the development of cardiovascular disease, affecting 27% of the Chilean population in 2010. AIM: To determine the risk factors associated with the development of hypertension. MATERIAL AND METHODS: Analysis of the database of the 2009-2010 National Health Survey in which 4,901 participants were included. Socio-demographic factors, physical activity, eating habits, well-being and comorbidities were analyzed. RESULTS: Women had a lower risk of developing hypertension than men (Odds ratio (OR): 0.69, 95% confidence intervals (CI): 0.59-0.81, p < 0.01). In both men and women, the risk is greater over the age of 25 years (OR: 2.90, 95% CI: 1.55-5.43, p < 0.01). The risk is greater in subjects who were overweight (OR: 1.61, 95% CI: 1.31-1.98, p < 0.01), obese (OR: 3.18, 95% CI: 2.56-3.95, p < 0.01), or had central obesity (OR: 2.25, 95% CI: 1.85-2.72, p < 0.01). Subjects with a family history of hypertension and diabetes also have a higher risk. CONCLUSIONS: Identifying the risk factors associated with hypertension allows public health policies to be tailored to its prevention.

Walking Pace Is Associated with Lower Risk of All-Cause and Cause-Specific Mortality.

PURPOSE: Walking pace is associated with all-cause and cardiovascular disease (CVD) mortality. Whether this association extends to other health outcomes and whether it is independent of total amount of time walked are currently unknown. Therefore, the aim of this study was to investigate whether usual walking pace is associated with a range of health outcomes. METHODS: UK Biobank participants (318,185 [54%] women) age 40 to 69 yr were included. Walking pace and total walking time were self-reported. The outcomes comprised: all-cause mortality as well as incidence and mortality from CVD, respiratory disease and cancer. The associations were investigated using Cox proportional hazard models. RESULTS: Over a mean of 5.0 yr [ranging from 3.3 to 7.8], 5890 participants died, 18,568 developed CVD, 5430 respiratory disease and 19,234 cancer. In a fully adjusted model, compared to slow pace walkers, men and women, respectively, with a brisk pace having lower risk of mortality from all-causes (hazard ratio [HR], 0.79; 95% confidence interval [CI], 0.69-0.90 and HR, 0.73; 95% CI, 0.62-0.85), CVD (HR, 0.62; 95% CI, 0.50-0.76 and HR, 0.80; 95% CI, 0.73-0.88), respiratory disease (HR, 0.58; 95% CI, 0.43-0.78 and HR, 0.66; 95% CI, 0.57-0.77), chronic obstructive pulmonary disease (HR, 0.26; 95% CI, 0.12-0.56 and HR, 0.28; 95% CI, 0.16-0.49). No associations were found for all-cause cancer, colorectal, and breast cancer. However, brisk walking was associated with a higher risk of prostate cancer. CONCLUSIONS: Walking pace is associated with lower risk of a wide range of important health conditions, independently of overall time spent walking.

Association of Fitness and Grip Strength With Heart Failure: Findings From the UK Biobank Population-Based Study.

OBJECTIVE: To investigate the associations of objectively measured cardiorespiratory fitness (CRF) and grip strength (GS) with incident heart failure (HF), a clinical syndrome that results in substantial social and economic burden, using UK Biobank data. PATIENTS AND METHODS: Of the 502,628 participants recruited into the UK Biobank between April 1, 2007, and December 31, 2010, a total of 374,493 were included in our GS analysis and 57,053 were included in CRF analysis. Associations between CRF and GS and incident HF were investigated using Cox proportional hazard models, with adjustment for known measured confounders. RESULTS: During a mean of 4.1 (range, 2.4-7.1) years, 631 HF events occurred in those with GS data, and 66 HF events occurred in those with CRF data. Higher CRF was associated with 18% lower risk for HF (hazard ratio [HR], 0.82; 95% CI, 0.76-0.88) per 1-metabolic equivalent increment increase and GS was associated with 19% lower incidence of HF risk (HR, 0.81; 95% CI, 0.77-0.86) per 5-kg increment increase. When CRF and GS were standardized, the HR for CRF was 0.50 per 1-SD increment (95% CI, 0.38-0.65), and for GS was 0.65 per 1-SD increment (95% CI, 0.58-0.72). CONCLUSION: Our data indicate that objective measurements of physical function (GS and CRF) are strongly and independently associated with lower HF incidence. Future studies targeting improving CRF and muscle strength should include HF as an outcome to assess whether these results are causal.

[Association between type 2 diabetes and physical activity in individuals with family history of diabetes]. / Asociación entre diabetes mellitus tipo 2 y actividad física en personas con antecedentes familiares de diabetes.

OBJECTIVE: To investigate whether the association between type 2 diabetes (T2D) and family history of diabetes is modified by the levels of physical activity in the Chilean population. METHOD: In this study were included 5129 participants from the cross-sectional 2009-2010 National Health Survey. Physical activity level was assessed using the Global Physical Activity Questionnaire and family history of T2D, through self-reporting. The association between diabetes, family history of diabetes and physical activity was determined using logistic regression. RESULTS: The odds of developing T2D in people with family history of this pathology is high, independent of their levels of physical activity and adiposity. Both men and women with family history of T2D have a higher probability of developing T2D. The odds ratio for having T2D was 5,49 (95%CI: 3,85-7,84; p <0,0001) in women, and 8,16 (95%CI: 4,96-13,4; p <0,0001) in men with family history of T2D and low levels of physical activity in comparison to those with high levels of physical activity and without a family history. CONCLUSION: Given the elevated risk of developing T2D presented by individuals with a family history of this pathology, and the effect of physical activity in reducing such risk, people with family history of diabetes may need higher levels of physical activity to attenuate their susceptibility to T2D.

[Risk factors associated with type 2 diabetes in Chile]. / Factores asociados al desarrollo de diabetes mellitus tipo 2 en Chile.

BACKGROUND: worldwide, prevalence of type 2 diabetes has doubled in the last years, mainly due to unhealthy lifestyle behaviours. They are many risk factors associated with diabetes, however, which factors are associated with diabetes in the Chilean population remains unknown. Therefore, the aim was to determine what risk factors are associated with the development of diabetes in Chile. METHODS: four thousand and seven hundred participants from the cross-sectional 2009-2010 National Health Survey were included in this study (4,162 normal; 538 diabetics). Risk factors assessed were socio-demographic, anthropometric, lifestyle, well-being and comorbidities. The association between diabetes and risk factors was examined using logistic regression. RESULTS: the main non-modifiable risk factors associated with diabetes were age ≥ 45 year, female and family history of diabetes; whereas the main modifiable risk factors were hypertension, overweight, obesity, central obesity, physical inactivity and higher levels of sitting time. CONCLUSION: the identification of modifiable risk factors for DMT2 is key to control and decrease the prevalence of this pathology and to improve the quality of life of the population.

Associations of grip strength with cardiovascular, respiratory, and cancer outcomes and all cause mortality: prospective cohort study of half a million UK Biobank participants.

OBJECTIVE: To investigate the association of grip strength with disease specific incidence and mortality and whether grip strength enhances the prediction ability of an established office based risk score. DESIGN: Prospective population based study. SETTING: UK Biobank. PARTICIPANTS: 502 293 participants (54% women) aged 40-69 years. MAIN OUTCOME MEASURES: All cause mortality as well as incidence of and mortality from cardiovascular disease, respiratory disease, chronic obstructive pulmonary disease, and cancer (all cancer, colorectal, lung, breast, and prostate). RESULTS: Of the participants included in analyses, 13 322 (2.7%) died over a mean of 7.1 (range 5.3-9.9) years' follow-up. In women and men, respectively, hazard ratios per 5 kg lower grip strength were higher (all at P<0.05) for all cause mortality (1.20, 95% confidence interval 1.17 to 1.23, and 1.16, 1.15 to 1.17) and cause specific mortality from cardiovascular disease (1.19, 1.13 to 1.25, and 1.22, 1.18 to 1.26), all respiratory disease (1.31, 1.22 to 1.40, and 1.24, 1.20 to 1.28), chronic obstructive pulmonary disease (1.24, 1.05 to 1.47, and 1.19, 1.09 to 1.30), all cancer (1.17, 1.13 to 1.21, 1.10, 1.07 to 1.13), colorectal cancer (1.17, 1.04 to 1.32, and 1.18, 1.09 to 1.27), lung cancer (1.17, 1.07 to 1.27, and 1.08, 1.03 to 1.13), and breast cancer (1.24, 1.10 to 1.39) but not prostate cancer (1.05, 0.96 to 1.15). Several of these relations had higher hazard ratios in the younger age group. Muscle weakness (defined as grip strength <26 kg for men and <16 kg for women) was associated with a higher hazard for all health outcomes, except colon cancer in women and prostate cancer and lung cancer in both men and women. The addition of handgrip strength improved the prediction ability, based on C index change, of an office based risk score (age, sex, diabetes diagnosed, body mass index, systolic blood pressure, and smoking) for all cause (0.013) and cardiovascular mortality (0.012) and incidence of cardiovascular disease (0.009). CONCLUSION: Higher grip strength was associated with a range of health outcomes and improved prediction of an office based risk score. Further work on the use of grip strength in risk scores or risk screening is needed to establish its potential clinical utility.