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    Home > Active Ingredient News > Antitumor Therapy > Which meat is the most friendly to people at high risk of colorectal cancer?

    Which meat is the most friendly to people at high risk of colorectal cancer?

    • Last Update: 2022-04-24
    • Source: Internet
    • Author: User
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    It has been published that one of the top five causes of cancer-related deaths in China is colorectal cancer (CRC)
    .
    At the same time, China is in the transition period of cancer and the burden of CRC is increasing .


    The increased incidence of CRC may be due to the rapid economic transition in China to adapt to Western life>such as low fiber intake and high red meat intake .


    It has been published that one of the top five causes of cancer-related deaths in China is colorectal cancer (CRC)


    Colorectal adenomas and polyps, as precursor lesions of colorectal cancer, have attracted more and more attention


    In addition, the meta-analysis also found a dose-response relationship for meat consumption (per 100 g/d)


    Across all meat subtypes, the association of processed or total red meat with polyp risk has been studied extensively, while few previous population-based studies have comprehensively explored the association of poultry intake or fish intake with polyp risk


    .


    Across all meat subtypes, the association of processed or total red meat with polyp risk has been studied extensively, while few previous population-based studies have comprehensively explored the association of poultry intake or fish intake with polyp risk


    Importantly, previous studies have mainly been conducted in Western populations, and little is known about Asian populations, such as the Chinese who are experiencing dietary "westernization"


    participant characteristics

    participant characteristics

    From March 2018 to December 2019, high-risk CRC patients aged 40-80 years were enrolled in the Lanxi City Colorectal Precancer Cohort (LP3C)


    .


    From March 2018 to December 2019, high-risk CRC patients aged 40-80 years were enrolled in the Lanxi City Colorectal Precancer Cohort (LP3C)


    Cross-sectional analysis was performed using LP3C baseline data


    .


    Cross-sectional analysis was performed using LP3C baseline data


    A total of 2064 polyp cases were detected


    Multivariate adjusted models were used to examine associations between total meat, red meat, unprocessed and processed red meat, poultry, seafood consumption and the prevalence of colorectal polyps
    .
    In the final model, total meat intake was not associated with polyp prevalence ( P for trend= 0.
    11) .
    A positive correlation was found for poultry meat consumption in Model 1 [ORQ4vs.
    Q1
    (95% CI): 1.
    28 (1.
    09–1.
    50);  ​​P for trend  = 0.
    002] .
    After additional adjustment for demographic factors, the relationship remained significant [OR  Q4vs.
    Q1
     (95% CI): 1.
    21 (1.
    02–1.
    42);  P trend = 0.
    02] and was little changed in Model 3 [OR  Q4vs .
    Q1
     (95% CI): 1.
    20 (1.
    02–1.
    42); P for trend  = 0.
    03] .
    A significant relationship between poultry meat consumption and polyp prevalence was still observed in Model 4 [OR  Q4vs.
    Q1
     (95% CI): 1.
    20 (1.
    02–1.
    42);  P for trend  = 0.
    03] .
    Higher processed red meat consumption was slightly associated with higher prevalence of colorectal polyps [OR  Q4vs.
    Q1
     (95% CI): 1.
    15 (0.
    98–1.
    34); 



    P for trend = 0.
    06], while  no similar association was detected for total red meat ( P for trend  = 0.
    81) and unprocessed red meat ( P for trend = 0.
    71) .

    Trend P Q4vs.
    Q1
    Trend P Q4vs.
    Q1
    P Trend Q4vs.
    Q1
    Trend P Q4vs.
    Q1
    Trend P Q4vs.
    Q1
    P Trend P Trend P Trend P Consumption of seafood was not associated with the incidence of colonic polyps (Table 2)
    .

    Among the anatomical sublocations of polyps, 866 proximal polyps, 900 distal polyps, and 298 rectal polyps were diagnosed
    .
    Higher total meat intake was found to be positively associated with the prevalence of rectal polyps in the fully adjusted model [OR  Q4vs.
    Q1
     (95% CI): 1.
    48 (1.
    03–2.
    11);  P for trend  = 0.
    01] .
    In addition, total red meat consumption [OR  Q4vs.
    Q1
     (95% CI): 1.
    33 (0.
    94–1.
    90);  P trend = 0.
    05] and unprocessed red meat [OR  Q4vs.
    Q1
     (95% CI): 1.
    30 ( 0.
    91–1.
    85);  P for trend
    = 0.
    04] was marginally associated with  the prevalence of rectal polyps .

    Among the anatomical sublocations of polyps, 866 proximal polyps, 900 distal polyps, and 298 rectal polyps were diagnosed
    .
    Higher total meat intake was found to be positively associated with the prevalence of rectal polyps in the fully adjusted model [OR  Q4vs.
    Q1
     (95% CI): 1.
    48 (1.
    03–2.
    11);  P for trend  = 0.
    01] .
    In addition, total red meat consumption [OR  Q4vs.
    Q1
     (95% CI): 1.
    33 (0.
    94–1.
    90);  P trend = 0.
    05] and unprocessed red meat [OR  Q4vs.
    Q1
     (95% CI): 1.
    30 ( 0.
    91–1.
    85);  trend P
    = 0.
    04] There was a marginal association of diagnostic Q4vs.
    Q1
    trend P Q4vs.
    Q1
    P trend Q4vs.
    Q1
    trend P  ​​​with the prevalence of rectal polyps .

    In addition, higher processed red meat consumption was associated with higher prevalence of small polyps [OR  Q4vs.
    Q1
     (95% CI): 1.
    17 (0.
    99–1.
    38);  P for trend  = 0.
    03] .
    For poultry, participants with the highest consumption also had a higher prevalence of small polyps [OR  Q4vs.
    Q1
     (95% CI): 1.
    19 (1.
    00–1.
    41);  P for trend = 0.
    04], whereas no association was found for large polyps [OR  Q4vs.
    Q1
     (95% CI): 1.
    28 (0.
    89–1.
    85);  P for trend = 0.
    25] .
    However, with the exception of seafood consumption, no significant relationship between consumption of various meats and the prevalence of large and small polyps was observed .
    A positive association between seafood consumption and multiple polyps was observed [OR  Q4vs.
    Q1
     (95% CI): 1.
    70 (1.
    31–2.
    21);  P for trend < 0.
    001] .

    In addition, higher processed red meat consumption was associated with higher prevalence of small polyps [OR  Q4vs.
    Q1
     (95% CI): 1.
    17 (0.
    99–1.
    38);  P for trend  = 0.
    03] .
    For poultry, participants with the highest consumption also had a higher prevalence of small polyps [OR  Q4vs.
    Q1
     (95% CI): 1.
    19 (1.
    00–1.
    41);  P for trend = 0.
    04], whereas no association was found for large polyps [OR  Q4vs.
    Q1
     (95% CI): 1.
    28 (0.
    89–1.
    85);  P for trend = 0.
    25] .
    However, with the exception of seafood consumption, no significant relationship between consumption of various meats and the prevalence of large and small polyps was observed .
    A positive association between seafood consumption and multiple polyps was observed [OR  Q4vs.
    Q1
     (95% CI): 1.
    70 (1.
    31–2.
    21);  P for trend < 0.
    001] .


    Q4vs.
    Q1
    Trend P Q4vs.
    Q1
    P Trend Q4vs.
    Q1
    P Trend Q4vs.
    Q1
    P Trend

    The current study investigated the association between meat intake of different subtypes and polyp prevalence in a high-risk population of CRC in China
    .
    The findings showed that higher unprocessed red meat intake and total meat intake were associated with higher prevalence of rectal polyps
    .
    Higher poultry consumption and processed red meat consumption were both associated with increased prevalence of small polyps
    .
    In addition, higher poultry meat intake was positively associated with higher overall prevalence of colorectal polyps
    .
    Seafood consumption was positively associated with a higher prevalence of multiple polyps
    .
    These findings provide new evidence for the current dietary guidelines , which recommend that low consumption of poultry, processed and unprocessed red meat, and seafood may prevent colorectal polyps in high-risk colorectal polyps populations in China
    .

    The current study investigated the association between meat intake of different subtypes and polyp prevalence in a high-risk population of CRC in China
    .
    The findings showed that higher unprocessed red meat intake and total meat intake were associated with higher prevalence of rectal polyps
    .
    Higher poultry consumption and processed red meat consumption were both associated with increased prevalence of small polyps
    .
    In addition, higher poultry meat intake was positively associated with higher overall prevalence of colorectal polyps
    .
    Seafood consumption was positively associated with a higher prevalence of multiple polyps
    .
    These findings provide new evidence for the current dietary guidelines , which recommend that low consumption of poultry, processed and unprocessed red meat, and seafood may prevent colorectal polyps in high-risk colorectal polyps populations in China
    .
    The findings showed that higher unprocessed red meat intake and total meat intake were associated with higher prevalence of rectal polyps
    .
    Higher poultry consumption and processed red meat consumption were both associated with increased prevalence of small polyps
    .
    In addition, higher poultry meat intake was positively associated with higher overall prevalence of colorectal polyps
    .
    Higher unprocessed red meat intake and total meat intake were associated with higher prevalence of rectal polyps
    .
    Guidelines for Prevention

     

    Original source:

    Original source:

    Chai X, Li Y, Yin Z, et al.
    Association of Meat Subtypes With Colorectal Polyp Prevalence: Finding From the Lanxi Pre-colorectal Cancer Cohort in China.
      Front Nutr .
    2022;9:833571.
    Published 2022 Mar 18.
    doi:10.
    3389 /fnut.
    2022.
    833571.

    Chai X, Li Y, Yin Z, et al.
    Association of Meat Subtypes With Colorectal Polyp Prevalence: Finding From the Lanxi Pre-colorectal Cancer Cohort in China.
      Front Nutr .
    2022;9:833571.
    Published 2022 Mar 18.
    doi:10.
    3389 /fnut.
    2022.
    833571.
    Front Nutr commented here
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