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1.
J Nutr Health Aging ; 28(6): 100225, 2024 Apr 05.
Artigo em Inglês | MEDLINE | ID: mdl-38582035

RESUMO

OBJECTIVES: The association of the dietary inflammatory potential with cancer risk remains uncertain. We examined the relationship of the dietary inflammatory potential with risk of overall and site-specific cancers and explored its sex and age differences. DESIGN: A community-based longitudinal study. SETTING: Participants from the UK Biobank completed baseline surveys during 2006-2010 and were followed for up to 15 years to detect incident cancer. PARTICIPANTS: 170,899 cancer-free participants with dietary data available (mean age: 55.73 ± 7.95, 54.10% female). MEASUREMENTS: At baseline, dietary intake was assessed with a 24-h dietary record for up to 5 times. The inflammatory diet index (IDI) was calculated to assess the dietary inflammatory potential as a weighted sum of 31 food groups (including 14 anti-inflammatory and 17 pro-inflammatory) based on plasma high-sensitivity C-reactive protein (hsCRP) levels, and tertiled as low (indicating low-inflammatory diet), moderate, and high IDI (as reference). Overall and site-specific cancers were ascertained via linkage to routine hospital admission, cancer registry, and death certificate data. Data were analyzed using Cox regression and Laplace regression. RESULTS: During the follow-up (median 10.32 years, interquartile range: 9.95-11.14 years), 18,884 (11.05%) participants developed cancer. In multi-adjusted Cox regression, low IDI scores were associated with decreased risk of rectal cancer (hazard ratio [95% confidence interval, CI] 0.76 [0.61, 0.94]), thyroid cancer [0.45 (0.27, 0.74)], lung cancer [0.73 (0.61, 0.88)]. However, the association between IDI score and the risk of overall cancer was not significant. Laplace regression analysis showed that 10th percentile differences (95% CIs) of cancer onset time for participants with low IDI scores was prolonged by 1.29 (0.32, 2.27), 1.44 (0.58, 2.30), and 2.62 (0.98, 4.27) years for rectal cancer, thyroid cancer, and lung cancer, respectively, compared to those with high IDI scores. Stratified analysis revealed that low IDI scores were associated with a lower risk of rectal cancer (p interaction between IDI score and sex = 0.035) and lung cancer in males, but not in females, and with a reduced risk of thyroid cancer in females, but not in males. Moreover, low IDI scores were associated with a reduced risk of rectal cancer and lung cancer in the participants aged ≥60 years, but not in those <60 years, and with a reduced risk of thyroid cancer in those aged ≥60 years and <60 years. CONCLUSIONS: A low-inflammatory diet is associated with decreased risk and prolonged onset time of rectal cancer and lung cancer, especially among males and individuals aged ≥60 years, and thyroid cancer among females.

2.
Eur J Nutr ; 63(3): 835-846, 2024 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-38194192

RESUMO

PURPOSE: Current evidence on the association between plant-based diet indices (PDIs) and mortality is inconsistent. We aimed to investigate the association of PDIs with all-cause and cause-specific mortality and to examine whether such associations were modified by socioeconomic deprivation level. METHODS: A total of 189,003 UK Biobank participants with at least one 24-h dietary assessment were included. All food items were categorised into three groups, including healthy plant foods, less healthy plant foods, and animal foods. Three PDIs, including the overall PDI (positive scores for all plant-based food intake and inverse scores for animal-based foods), the healthful PDI (hPDI) (positive scores only for healthy plant food intake and inverse scores for others), and the unhealthful PDI (uPDI) (positive scores only for less healthy plant food intake and inverse scores for others), were calculated according to the quantities of each food subgroup in three categories. The Townsend deprivation index was used as the indicator of socioeconomic deprivation level. Cox proportional hazard models were used to estimate the hazard ratios (HRs) of PDIs for all-cause and cause-specific mortality. The modification effects of socioeconomic deprivation levels on these associations were evaluated. RESULTS: During a median follow-up of 9.6 years, 9335 deaths were documented. Compared with the lowest quintile, the highest quintile of overall PDI was associated with adjusted HRs of 0.87 (95% CI 0.81-0.93) for all-cause mortality and 0.77 (0.66-0.91) for cardiovascular mortality. Compared with the lowest quintile, the highest quintile of hPDI was associated with lower risks of all-cause mortality (0.92, 0.86-0.98), and death caused by respiratory disease (0.63, 0.47-0.86), neurological disease (0.65, 0.48-0.88), and cancer (0.90, 0.82-0.99). Compared with the lowest quintile, the highest quintile of uPDI was associated with an HR of 1.29 (1.20-1.38) for all-cause mortality, 1.95 (1.40-2.73) for neurological mortality, 1.54 (1.13-2.09) for respiratory mortality, and 1.16 (1.06-1.27) for cancer mortality. The magnitudes of associations of hPDI and uPDI with mortality were larger in the most socioeconomically deprived participants (the highest tertile) than in the less deprived ones (p-values for interaction were 0.039 and 0.001, respectively). CONCLUSIONS: This study showed that having a high overall PDI and hPDI were related to a reduced risk of death, while the uPDI was linked to a higher risk of death. Sticking to a healthy plant-based diet may help decrease mortality risks across socioeconomic deprivation levels, especially for those who are the most socioeconomically deprived.


Assuntos
Dieta Vegetariana , Neoplasias , Humanos , Causas de Morte , Estudos Prospectivos , 60426 , Dieta , Fatores Socioeconômicos
3.
BMC Med ; 21(1): 251, 2023 07 10.
Artigo em Inglês | MEDLINE | ID: mdl-37424008

RESUMO

BACKGROUND: A dietary pattern (DP) may impact on cancer incidence more strongly than individual foods, but this association remains uncertain. Here, we aimed to broadly explore the associations of an obesity-related DP with overall and 19 site-specific cancers. METHODS: This study included 114,289 cancer-free participants with at least two dietary assessments. A total of 210 food items were classified into 47 food groups, and the mean amount of each food group was used in reduced-rank regression to derive the obesity-related DP. Cox regressions were conducted to explore the associations of the obesity-related DP with overall and 19 site-specific cancers. The parallel mediation model was constructed to quantify the mediating roles of potential mediators. RESULTS: During a median follow-up period of 9.4 years, 10,145 (8.9%) incident cancer cases were documented. The derived-DP was characterized by a higher intake of beer and cider, processed meat, high sugar beverages, red meat, and artificial sweetener, and a lower intake of fresh vegetables, olive oil, tea, and high fiber breakfast cereals. Observational analysis showed that a higher obesity-related DP Z-score was linearly associated with an increased risk of overall cancer (adjusted hazard ratio (HR) = 1.02, 95% CI: 1.01, 1.04 per 1-SD increase, corrected P < 0.001). For site-specific cancer, positive linear associations for six cancer sites (oral, colorectal, liver, lung, endometrium, and thyroid) and nonlinear associations for six cancer sites (esophagus, malignant melanoma, prostate, kidney, bladder, and multiple myeloma) were observed. The paralleled mediation analysis suggested that the association between the obesity-related DP and overall cancer is mediated by the body mass index (BMI), the waist-to-hip ratio (WHR), C-reactive protein, high-density lipoproteins (HDLs), and triglycerides. CONCLUSIONS: The developed obesity-related DP is strongly associated with overall and multiple cancer sites. Our findings highlight the complicated and diverse associations between an obesity-related DP and cancers and provide clues for future research directions.


Assuntos
Neoplasias , Obesidade , Masculino , Feminino , Humanos , Incidência , Estudos Prospectivos , Obesidade/epidemiologia , Obesidade/etiologia , Dieta/efeitos adversos , Neoplasias/etiologia , Neoplasias/complicações , Fatores de Risco , Índice de Massa Corporal
4.
Eur J Nutr ; 62(6): 2605-2619, 2023 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-37219593

RESUMO

PURPOSE: Research about using reduced-rank regression (RRR) to simultaneously study the effects of both individual and combined consumption of foods on cardiovascular diseases (CVD) is scarce. METHODS: This study included 116,711 CVD-free participants (a median of 11.8 year follow-up) with 2 or more 24-h online dietary assessments. A total of 210 food items were classified into 45 food groups, and the mean amount of each food group was used in RRR to derive dietary patterns (DPs) explaining the maximum shared variation in obesity-related indicators. The associations of DPs and its main food groups (|factor loading| [Formula: see text] 0.2) with the incident CVD and all-cause mortality were examined by Cox model. In cross-sectional analyses, the associations of DP scores with cardiometabolic risk factors (biomarkers) were examined by linear regression. RESULTS: The derived DP was characterized by higher intakes of beer and cider, high-sugar beverages, processed meat, red meat, artificial sweetener, and crisps, chips and savory snacks, and lower intakes of olive oil, high fiber breakfast cereals, tea, and vegetable. Compared to the lowest dietary score quintile, those in the highest were associated with higher risks of total CVD (adjusted-HR: 1.45, 95% CI 1.33-1.57) and all-cause mortality (adjusted-HR 1.31, 95% CI 1.18-1.45). We observed consumption alone of these food groups had a consistent but limited health effect on total CVD and all-cause death incidence. These associations were modified by age and sex. Higher DP scores were related to adverse biomarkers profiles. CONCLUSIONS: We developed obesity-related DPs prospectively associated with increased risks of CVD and all-cause mortality.


Assuntos
Doenças Cardiovasculares , Humanos , Adulto , Incidência , Estudos Transversais , Dieta/efeitos adversos , Obesidade/epidemiologia , Obesidade/complicações , Biomarcadores , Fatores de Risco
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