| Literature DB >> 35183210 |
Jiahui Song1, Chi Pan1, Feifei Li2,3, Yu Guo4, Pei Pei4, Xiaocao Tian5,6, Shaojie Wang2,3, Ruqin Gao7,8, Zengchang Pang2,3, Zhengming Chen9, Liming Li10.
Abstract
BACKGROUND: Previous studies linking dairy consumption with ischemic heart disease (IHD) are almost from western countries, with little from China. The present study was to explore the relationship between dairy consumption and IHD among Chinese adults.Entities:
Keywords: China; Dairy; Ischemic heart disease; Prospective study
Year: 2022 PMID: 35183210 PMCID: PMC8858533 DOI: 10.1186/s12986-022-00645-9
Source DB: PubMed Journal: Nutr Metab (Lond) ISSN: 1743-7075 Impact factor: 4.169
Baseline characteristics of participants by frequency of dairy consumption
| Characteristics | Dairy consumption | Overall | ||||
|---|---|---|---|---|---|---|
| Never | Monthly | 1–3 day/week | 4–6 day/week | Daily | ||
| Number of participants | 10,395 | 3555 | 6757 | 1446 | 11,202 | 33,355 |
| Women (%) | 55.6 | 52.3 | 53.7 | 56.6 | 56.8 | 55.3 |
| Mean age (years) | 51.8(9.6) | 51.2(10.0) | 49.5(9.6) | 47.7(9.8) | 50.6(10.5) | 50.7(10.0) |
| High school and above (%) | 26.1 | 35.8 | 41.2 | 49.8 | 41.6 | 36.4 |
| Factory/Professional/sales (%) | 50.4 | 55.4 | 61.2 | 69.8 | 58.7 | 56.7 |
| Married (%) | 92.0 | 92.5 | 94.6 | 94.9 | 92.7 | 92.9 |
| Household income ≥ 20,000 (yuan) (%) | 51.6 | 62.1 | 67.4 | 70.2 | 63.8 | 60.8 |
| Eggs | 47.5 | 43.2 | 41.2 | 40.0 | 66.0 | 51.7 |
| Fresh fruit | 47.5 | 41.3 | 50.4 | 50.1 | 67.3 | 54.2 |
| Fresh vegetables | 98.8 | 98.0 | 96.5 | 94.9 | 98.9 | 98.1 |
| Soybean | 6.8 | 4.9 | 4.6 | 6.4 | 9.9 | 7.2 |
| Red meat | 61.0 | 62.0 | 54.0 | 53.8 | 68.5 | 61.9 |
| Poultry | 1.3 | 1.7 | 3.9 | 2.1 | 1.9 | 2.1 |
| Current drinking in menb (%) | 53.7 | 45.4 | 43.7 | 47.0 | 48.8 | 48.8 |
| Current smoking in menb (%) | 65.6 | 58.6 | 54.2 | 54.1 | 57.2 | 59.2 |
| MET (MET-hr/day) | 15.2(10.1) | 15.4(10.6) | 17.0(10.9) | 19.9(11.4) | 17.6(10.1) | 16.6(10.4) |
| BMI (Kg/m2) | 26.3(3.7) | 25.9(3.7) | 25.5(3.4) | 25.0(3.4) | 25.4(3.6) | 25.7(3.6) |
| SBP (mmHg) | 132.3(22.5) | 130.4(21.5) | 128.9(21.5) | 126.3(19.8) | 128.2(20.9) | 129.7(21.6) |
| DBP (mmHg) | 78.9(10.9) | 77.8(11.1) | 77.6(10.8) | 76.5(10.5) | 77.6(10.5) | 77.6(10.8) |
| Random glucosec (mmol/L) | 6.4(2.4) | 6.4(2.9) | 6.2(2.4) | 6.0(2.1) | 6.4(2.8) | 6.3(2.6) |
| Family history of MI (%) | 5.2 | 5.0 | 4.7 | 5.5 | 6.5 | 5.5 |
MET: exercise metabolic equivalent; BMI: Body Mass Index; SBP: Systolic Blood Pressure; DBP: Diastolic Blood Pressure; MI: myocardial infarction; Values are either percentage or mean (SD)
aRegular food consumption means consuming food products daily
bIn women, only 1.5% current drinking and 1.0% current smoking
c422 participants had missing values for random glucose
Risk of IHD, MCE and IHD mortality associated with consumption of dairy
| Characteristics | Dairy consumption | ||
|---|---|---|---|
| Never | < 4 day/week | ≥ 4 day/ week | |
| Cases | 903 | 734 | 1075 |
| PYs | 92,292.98 | 88,778.41 | 114,812.61 |
| Cases/PYs (/100,000) | 978.41 | 826.78 | 936.31 |
| Modle1 | 1.00 | 0.98(0.89–1.08) | 0.93(0.85–1.01) |
| Modle2 | 1.00 | 0.97(0.88–1.07) | 0.95(0.87–1.04) |
| Modle3 | 1.00 | 0.97(0.88–1.08) | 0.99(0.90–1.09) |
| Cases | 142 | 108 | 170 |
| PYs | 95,075.64 | 90,932.75 | 118,238.13 |
| Cases/PYs (/100,000) | 149.35 | 118.77 | 143.78 |
| Modle1 | 1.00 | 0.90(0.70–1.16) | 0.89(0.70–1.11) |
| Modle2 | 1.00 | 0.90(0.70–1.17) | 0.89(0.71–1.12) |
| Modle3 | 1.00 | 0.92(0.71–1.19) | 0.94(0.74–1.18) |
| Cases | 89 | 73 | 100 |
| PYs | 95,513.82 | 91,318.09 | 118,823.54 |
| Cases/PYs (/100,000) | 93.18 | 79.94 | 84.16 |
| Modle1 | 1.00 | 1.04(0.76–1.42) | 0.80(0.60–1.06) |
| Modle2 | 1.00 | 1.08(0.79–1.49) | 0.84(0.63–1.13) |
| Modle3 | 1.00 | 1.08(0.78–1.48) | 0.86(0.64–1.16) |
For further statistical analysis, individuals of dairy product consumption were combined into three groups (never/rarely, < 4 days/week, ≥ 4 days/week)
Model 1: stratified by age-at-risk, gender (only in total population)
Model 2: as for model 1, additionally adjusted for education, occupation, marital status, household income, and food consumption (eggs, fresh fruit, fresh vegetables, soybean, red meat, poultry), alcohol consumption, smoking status, MET, family history of MI
Model 3: as for model 2, additionally adjusted for BMI, SBP, DBP, random glucose
Risk of IHD associated with dairy among 14,908 male and 18,447 female participants
| Characteristics | Dairy consumption | ||
|---|---|---|---|
| Never | < 4 day/week | ≥ 4 day/ week | |
| Cases | 359 | 280 | 436 |
| Modle1 | 1.00 | 0.88 (0.75–1.02) | 0.87 (0.75–1.00) |
| Modle2 | 1.00 | 0.85 (0.73–1.00) | 0.85 (0.73–0.98) |
| Modle3 | 1.00 | 0.84 (0.72–0.99) | 0.86 (0.75–0.99) |
| Cases | 544 | 454 | 639 |
| Modle1 | 1.00 | 1.05 (0.93–1.19) | 0.97 (0.86–1.08) |
| Modle2 | 1.00 | 1.07 (0.94–1.21) | 1.04 (0.93–1.18) |
| Modle3 | 1.00 | 1.08 (0.95–1.23) | 1.10 (0.97–1.24) |
For further statistical analysis, individuals of dairy product consumption were combined into three groups (never/rarely, < 4 days/week, ≥ 4 days/week)
Model 1: stratified by age-at-risk, gender (only in total population)
Model 2: as for model 1, additionally adjusted for education, occupation, marital status, household income, and food consumption (eggs, fresh fruit, fresh vegetables, soybean, red meat, poultry), alcohol consumption, smoking status, MET, family history of MI
Model 3: as for model 2, additionally adjusted for BMI, SBP, DBP, random glucose
Fig. 1Subgroup analysis of associations between dairy consumption ≥ 4 days/week and IHD according to baseline characteristics in males. Adjusted HRs (95% CIs) dairy consumption by subgroups, age at baseline (years), gender (male or female), education(below high school, high school and above), household income, occupation, marital status(married, live along), and food consumption (eggs, fresh fruit, fresh vegetables, soybean, red meat, poultry), alcohol consumption, smoking status, MET (MET-h), family history of MI. MET: exercise metabolic equivalent; MI: myocardial infarction