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1.
BMJ Mil Health ; 2023 Nov 23.
Artículo en Inglés | MEDLINE | ID: mdl-38053275

RESUMEN

INTRODUCTION: Military veterans are at greater risk for chronic medical conditions, many of which are associated with greater body mass index (BMI). Detrimental changes to diet and physical activity (PA) levels after separation from military service contribute to this disparity which may be mitigated by nutrition education (NE) during service. METHODS: We conducted a survey in student veterans attending two southeastern US universities to determine current nutrition knowledge and hypothesised that NE received during time of service would be associated with better current diet quality (DQ), PA and BMI. Food group knowledge (FGK), and nutrient knowledge, DQ measured by Healthy Eating Index (HEI), and PA reported in metabolic equivalent minutes per week (MET-min/week) were assessed using previously validated questionnaires. Height and weight were also self-reported to calculate BMI. Differences in these variables between NE groups were assessed using Mann-Whitney U tests. Change in DQ, PA and BMI were assessed with Wilcoxon signed rank tests. Stepwise backward regression analysis was used to identify significant predictors related to HEI and BMI status. RESULTS: Sixty-three out of 83 total responses were valid. Respondents were 60% male, 81% white, 43% and 27% served in the Army and Navy, respectively and 30% reported receiving NE while in the military. Veterans who received NE while serving did not have higher FGK, nutrition knowledge, current DQ, MET-min/week or BMI than their counterparts. Overall, respondents reported decreased MET-min/week (p<0.001), increased BMI (p=0.01) and no change in DQ. PA (p=0.014) and FGK (p<0.001) were significant predictors of current DQ, while no variables significantly predicted current BMI. CONCLUSIONS: Inverse relationships between BMI and PA were observed after separation from duty. These results warrant the development and implementation of effective lifestyle interventions in veterans to prevent chronic disease and improve quality of life.

2.
Benef Microbes ; 12(3): 239-248, 2021 Jun 15.
Artículo en Inglés | MEDLINE | ID: mdl-33789551

RESUMEN

Implicated in several chronic diseases, the gastrointestinal microbiome is hypothesised to influence carcinogenesis. We compared faecal microbiota of newly diagnosed treatment-naïve overweight and obese cancer patients and matched controls. Cases were enrolled in presurgical weight-loss trials for breast (NCT02224807) and prostate (NCT01886677) cancers and had a body mass index (BMI) ≥25 kg/m2. Cancer-free controls were matched 1:1 by age (±5 years), race, gender, and BMI (±5 kg/m2). All participants provided faecal samples; isolated bacterial DNA were PCR amplified at the V4 region of the 16S rRNA gene and analysed using the QIIME pipeline. Tests compared cases versus controls, then separately by gender. Microbial alpha-diversity and beta-diversity were assessed, and relative abundance of Operational Taxonomic Units (OTU's) were compared at the genus level, with false discovery rate (FDR) correction. 22 overweight and obese cancer patients were matched with 22 cancer-free controls, with an average BMI of 30.5±4.3 kg/m2, age 54.4±5.3 years, and 54.5% were black. Fourteen matches were made between breast cancer cases and healthy female controls, and 8 matches were made with prostate cancer cases and healthy male controls. Comparison of all cases and controls revealed no differences in alpha diversity, though prostate cancer patients had higher Chao1 (P=0.006) and Observed Species (P=0.036) than cancer-free males. Beta-diversity metrics were significantly different between cases and controls (P<0.03 for all tests in whole sample and in men), though only unweighted Unifrac was different in women (P=0.005). Kruskal Wallis tests indicated significant differences among 16 genera in all matches, 9 in female, and 51 in male. This study suggests the faecal microbiota of treatment-naive breast and prostate cancer patients differs from controls, though larger samples are needed to substantiate these findings. Trial registration: NIH Clinical Trials, NCT01886677, NCT02224807, registered 26 June 2013, 25 Aug 2014 (respectively) - retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT01886677; https://clinicaltrials.gov/ct2/show/NCT02224807.


Asunto(s)
Neoplasias de la Mama/microbiología , Microbioma Gastrointestinal , Neoplasias de la Próstata/microbiología , Estudios de Casos y Controles , Heces/microbiología , Femenino , Humanos , Masculino , Persona de Mediana Edad , Obesidad/microbiología , Sobrepeso/microbiología , Ensayos Clínicos Controlados Aleatorios como Asunto
4.
Nutr Metab Cardiovasc Dis ; 25(6): 535-40, 2015 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-25960399

RESUMEN

BACKGROUND AND AIM: The purpose of this study was to examine the association between physical activity (PA), caloric intake, and Metabolic Syndrome (MetS) in a representative sample of the United States population. METHODS AND RESULTS: Data for 4327 adults from 2007 to 2010 NHANES were analyzed. MetS was defined using both ATPIII and AHA/NHLBI criteria. Weekly moderate and vigorous physical activity (PA) minutes from work, leisure-time, and transportation PA were used to estimate Total Energy Expenditure (TEE) from Basal Metabolic Rate (BMR) using the Harris-Benedict equation. Average total calories (KCAL) from two 24-h dietary recalls were used to compare energy intake and expenditure between subjects with and without MetS. An alpha of 0.05 was used to determine statistical differences. The age adjusted prevalence of MetS was 21.9% (95% CI 20.1-23.6) and 36.8% (34.7-39.0) using ATPIII and AHA/NHLBI criteria, respectively. The estimated population mean for KCAL/TEE was 0.83 (95% CI 0.82-0.84), and the mean for KCAL/BMR was 1.25 (95% CI 1.23-1.27). Subjects without MetS (MetS-) reported 36 ± 13 (ATPIII) and 45 ± 18 (AHA/NHLBI) more daily moderate PA minutes than subjects with MetS (MetS+). At each level of PA, MetS- consumed more calories relative to BMR and TEE than MetS+. For both normal and overweight adults, KCAL/BMR was higher for MetS- than MetS+. For all BMI groups, there were no differences between MetS- and MetS+ with respect to KCAL/TEE. Though MetS+ adults in either MetS criteria were generally less physically active, MetS- adults maintained a higher caloric intake relative to estimated energy needs. CONCLUSIONS: These results suggest energy needs may be distorted in Metabolic Syndrome and increased physical activity may be more protective than reduced caloric intake.


Asunto(s)
Restricción Calórica , Metabolismo Energético , Ejercicio Físico , Síndrome Metabólico/prevención & control , Actividad Motora , Adulto , Factores de Edad , Índice de Masa Corporal , Femenino , Humanos , Masculino , Síndrome Metabólico/diagnóstico , Síndrome Metabólico/epidemiología , Síndrome Metabólico/fisiopatología , Persona de Mediana Edad , Modelos Biológicos , Encuestas Nutricionales , Prevalencia , Factores Protectores , Factores de Riesgo , Conducta Sedentaria , Factores de Tiempo , Estados Unidos/epidemiología , Adulto Joven
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