Cancer Prevention Among Firefighters: Examining Lifestyle, Screening Behavior, and Beliefs.

BACKGROUND: Firefighters are at increased risk of developing cancer due to occupational exposures, but they may also face increased risk due to their lifestyle, such as the quality of their diet and physical activity. Cancer beliefs and screening behavior could also influence their cancer risk. The current study aimed to identify individual differences associated with lifestyle behaviors, cancer screening, and cancer beliefs among firefighters; to describe the strategies firefighters use to adapt to their work schedule; and to describe topics firefighters believe are the most important to address in their workplace. METHODS: Career firefighters (N = 171) in a medium-sized U.S. city completed an online survey. FINDINGS: Logistic regression analyses identified age, education, racial identity, years of fire service, perceived stress, and rank as predictors of responses to items addressing cancer screening, lifestyle behaviors, and cancer beliefs. Although results varied, age, education, and racial identity were associated with most of the outcomes. Strategies related to sleep such as getting the right amount and napping, exercise, and getting family/roommate support were selected as the top adaptive strategies for work. Sleep, mental health/well-being, and work-life balance were selected most often as the most important topics to address in the fire service, with topics related to reducing occupational exposures receiving less attention. CONCLUSIONS/APPLICATION TO PRACTICE: The findings suggest individual differences, such as age, education, and racial identity, should be considered when developing occupational health interventions for firefighters. Interventions related to mental health, work-life balance, and sleep may be desired most by those in the fire service.

Comparison of the Ketogenic Ratio of Macronutrients With the Low-Carbohydrate Diet Score and Their Association With Risk of Type 2 Diabetes in Postmenopausal Women: A Secondary Analysis of the Women's Health Initiative.

BACKGROUND: Previous attempts to identify low-carbohydrate diets (LCDs) in epidemiological studies relied on the LCD Score, which is unable to identify ketogenic dieters. Ketogenic ratios of macronutrients are clinical equations proposed to predict ketogenic diets; however, their utility in epidemiological studies is unknown. OBJECTIVE: To determine the number of participants consuming a ketogenic diet, compare ketogenic ratios to the LCD Score, and evaluate their association with type 2 diabetes mellitus (T2DM). DESIGN: Secondary analysis of the Women's Health Initiative with 17.9 ± 6.03 years of follow-up. Baseline food frequency questionnaires were used to calculate the ketogenic ratio as follows: (0.9 × grams fat + 0.46 × grams protein) / (0.1 × grams fat + 0.58 × grams protein + grams net carbohydrate), a value ≥1.5 is the minimum threshold for a ketogenic diet. PARTICIPANTS/SETTING: One hundred twenty-five nine hundred eighty-two postmenopausal women without diabetes (aged 50 to 79 years) enrolled in the multicenter Women's Health Initiative observational study and clinical trials were included. MAIN OUTCOME MEASURES: Risk of self-reported incident T2DM. STATISTICAL ANALYSES PERFORMED: Cox proportional hazards models, adjusted for age, race, ethnicity, education, income, health insurance, relationship status, geographic region, Women's Health Initiative study component, female hormone use, smoking status, alcohol use, recreational physical activity, total energy intake, diet quality, body mass index, hyperlipidemia, and hypertension, were used to compare hazard ratios and 95% CIs for T2DM among quintiles of the ketogenic ratio. RESULTS: A total of 18,775 incident cases of T2DM occurred. The median ketogenic ratio was 0.35 (interquartile range 0.28 to 0.42) and 15 individuals (0.01%) exceeded the threshold for a ketogenic diet. Higher ketogenic ratio quintiles were associated with increased risk of T2DM in a dose-dependent manner. Comparing extreme quintiles of the ketogenic ratio, the hazard ratio for diabetes was 1.24 (95% CI 1.18 to 1.31; Ptrend < 0.001) in fully adjusted models. Similarly, comparing extreme quintiles, the hazard ratio for diabetes was 1.36 (95% CI 1.29 to 1.43; Ptrend < 0.001) for the LCD Score and 1.13 (95% CI 1.07 to 1.19; Ptrend < 0.001) for the simplified ketogenic ratio in fully adjusted models. CONCLUSIONS: Increasing ketogenic ratio values are associated with increased risk of T2DM and align well with LCD Scores; however, too few participants consumed a ketogenic diet to determine its association with T2DM.

Dietary patterns and urinary phthalate exposure among postmenopausal women of the Women's Health Initiative.

BACKGROUND: Phthalates are endocrine-disrupting chemicals linked to a higher risk of numerous chronic health outcomes. Diet is a primary source of exposure, but prior studies exploring associations between dietary patterns and phthalate exposure are limited. OBJECTIVES: We evaluated the associations between dietary patterns and urinary phthalate biomarkers among a subset of postmenopausal women participating in the Women's Health Initiative (WHI). METHODS: We included WHI participants selected for a nested case-control study of phthalates and breast cancer (N = 1240). Dietary intake was measured via self-administered food frequency questionnaires at baseline and year-3. We used these data to calculate scores for alignment with the Dietary Approach to Stop Hypertension (DASH), alternative Mediterranean (aMed), and Dietary Inflammatory Index (DII) diets. We measured 13 phthalate metabolites and creatinine in 2-3 urine samples per participant collected over 3-years when all participants were cancer-free. We fit multivariable generalized estimating equation models to estimate the cross-sectional associations. RESULTS: DASH and aMed dietary scores were inversely associated with the sum of di(2-Ethylhexyl) phthalate (-6.48%, 95% CI -9.84, -3.00; -5.23%, 95% CI -8.73, -1.60) and DII score was positively associated (9.00%, 95% CI 5.04, 13.11). DASH and aMed scores were also inversely associated with mono benzyl phthalate and mono-3-carboxypropyl phthalate. DII scores were positively associated with mono benzyl phthalate and the sum of di-n-butyl phthalate. DISCUSSION: Higher dietary alignment with DASH and aMed dietary patterns were significantly associated with lower concentrations of certain phthalate biomarkers, while an inflammatory diet pattern was associated with higher phthalate biomarker concentrations. These findings suggest that dietary patterns high in fruits, vegetables, and low-fat foods and low in processed foods may be useful in avoiding exposure to phthalates.

Proinflammatory and Hyperinsulinemic Dietary Patterns Are Associated With Specific Profiles of Biomarkers Predictive of Chronic Inflammation, Glucose-Insulin Dysregulation, and Dyslipidemia in Postmenopausal Women.

Background: Dietary patterns promoting hyperinsulinemia and chronic inflammation, including the empirical dietary index for hyperinsulinemia (EDIH) and empirical dietary inflammatory pattern (EDIP), have been shown to strongly influence risk of weight gain, type 2 diabetes, cardiovascular disease, and cancer. EDIH was developed using plasma C-peptide, whereas EDIP was based on plasma C-reactive protein (CRP), interleukin-6, and tumor necrosis factor alpha receptor 2 (TNF-αR2). We investigated whether these dietary patterns were associated with a broader range of relevant biomarkers not previously tested. Methods: In this cross-sectional study, we included 35,360 women aged 50-79 years from the Women's Health Initiative with baseline (1993-1998) fasting blood samples. We calculated EDIH and EDIP scores from baseline food frequency questionnaire data and tested their associations with 40 circulating biomarkers of insulin response/insulin-like growth factor (IGF) system, chronic systemic inflammation, endothelial dysfunction, lipids, and lipid particle size. Multivariable-adjusted linear regression was used to estimate the percent difference in biomarker concentrations per 1 standard deviation increment in dietary index. FDR-adjusted p < 0.05 was considered statistically significant. Results: Empirical dietary index for hyperinsulinemia (EDIH) and empirical dietary inflammatory pattern (EDIP) were significantly associated with altered concentrations of 25 of the 40 biomarkers examined. For EDIH, the percent change in biomarker concentration in the insulin-related biomarkers ranged from +1.3% (glucose) to +8% (homeostatic model assessment for insulin resistance) and -9.7% for IGF-binding protein-1. EDIH impacted inflammation and endothelial dysfunction biomarkers from +1.1% (TNF-αR2) to +7.8% (CRP) and reduced adiponectin by 2.4%; and for lipid biomarkers: +0.3% (total cholesterol) to +3% (triglycerides/total cholesterol ratio) while reducing high-density lipoprotein cholesterol by 2.4%. EDIP showed a similar trend of associations with most biomarkers, although the magnitude of association was slightly weaker for the insulin-related biomarkers and stronger for lipids and lipid particle size. Conclusions: Dietary patterns with high potential to contribute to insulin hypersecretion and to chronic systemic inflammation, based on higher EDIH and EDIP scores, were associated with an unfavorable profile of circulating biomarkers of glucose-insulin dysregulation, chronic systemic inflammation, endothelial dysfunction and dyslipidemia. The broad range of biomarkers further validates EDIH and EDIP as mechanisms-based dietary patterns for use in clinical and population-based studies of metabolic and inflammatory diseases.

Obesity Trends and Associations with Types of Physical Activity and Sedentary Behavior in US Adults: National Health and Nutrition Examination Survey, 2007-2016.

OBJECTIVE: Physical activity (PA) and sedentary behavior (SB) have been linked to adult adiposity. This research aims to explore 10-year (2007-2016) trends in obesity and abdominal obesity prevalence and associations with different types of PA and SB among US adults. METHODS: National Health and Nutrition Examination Survey (NHANES) data were used with 20- to 64-year-old adults (n = 20,360; mean age: 41.9 years; male: 50.5%; non-Hispanic White: 64.3%). Sex- and sex- and race-specific linear trends in the prevalence of obesity, abdominal obesity, and moderate and vigorous work- and recreation-related PA and SB were estimated. Weighted logistic models explored the association between risk of obesity or abdominal obesity with each type of PA and SB by sex, adjusted for relevant confounders. RESULTS: There were significant increasing trends in obesity and abdominal obesity in both sexes and in Hispanic adults. Men at higher vigorous work-related PA levels (P = 0.045) and women at higher moderate recreational-related PA (P = 0.005) levels had decreased risk of abdominal obesity. Women at the highest versus the lowest level of SB had increased risk of abdominal obesity (P = 0.017). CONCLUSIONS: There was a significantly reduced risk for abdominal obesity with a few types of PA among both sexes and an increased risk with SB among women only.

Associations of home food availability, dietary intake, screen time and physical activity with BMI in young American-Indian children.

OBJECTIVE: To evaluate associations between home environmental factors and BMI of young American-Indian children. DESIGN: Cross-sectional and prospective study. SETTING: School-based obesity prevention trial (Bright Start) on a Northern Plains Indian reservation in South Dakota. Mixed model multivariable analysis was used to examine associations between child BMI categories (normal, overweight and obese) and home food availability, children's dietary intake and physical activity. Analyses were adjusted for age, gender, socio-economic status, parent BMI and school; prospective analyses also adjusted for study condition and baseline predictor and outcome variables. SUBJECTS: Kindergarten children (n = 424, 51 % male; mean age = 5.8 years, 30 % overweight/obese) and parents/caregivers (89 % female; 86 % overweight/obese) had their height and weight measured and parents/caregivers completed surveys on home environmental factors (baseline and 2 years later). RESULTS: Higher fast-food intake and parent-perceived barriers to physical activity were marginally associated with higher probabilities of a child being overweight and obese. Vegetable availability was marginally associated with lower probabilities of being overweight and obese. The associations between home environmental factors and child weight status at follow-up were not significant. CONCLUSIONS: Findings indicate that selected aspects of the home environment are associated with weight status of American-Indian children. Obesity interventions with this population should consider helping parents to engage and model healthful behaviours and to increase availability of healthful foods at home.

Substance use and dietary practices among students attending alternative high schools: results from a pilot study.

BACKGROUND: Substance use and poor dietary practices are prevalent among adolescents. The purpose of this study was to examine frequency of substance use and associations between cigarette, alcohol and marijuana use and selected dietary practices, such as sugar-sweetened beverages, high-fat foods, fruits and vegetables, and frequency of fast food restaurant use among alternative high school students. Associations between multi-substance use and the same dietary practices were also examined. METHODS: A convenience sample of adolescents (n = 145; 61% minority, 52% male) attending six alternative high schools in the St Paul/Minneapolis metropolitan area completed baseline surveys. Students were participants in the Team COOL (Controlling Overweight and Obesity for Life) pilot study, a group randomized obesity prevention pilot trial. Mixed model multivariate analyses procedures were used to assess associations of interest. RESULTS: Daily cigarette smoking was reported by 36% of students. Cigarette smoking was positively associated with consumption of regular soda (p = 0.019), high-fat foods (p = 0.037), and fast food restaurant use (p = 0.002). Alcohol (p = 0.005) and marijuana use (p = 0.035) were positively associated with high-fat food intake. With increasing numbers of substances, a positive trend was observed in high-fat food intake (p = 0.0003). There were no significant associations between substance use and fruit and vegetable intake. CONCLUSIONS: Alternative high school students who use individual substances as well as multiple substances may be at high risk of unhealthful dietary practices. Comprehensive health interventions in alternative high schools have the potential of reducing health-compromising behaviors that are prevalent among this group of students. This study adds to the limited research examining substance use and diet among at-risk youth. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov: NCT01315743.