Table 1.
Publication | Source of data and study design (follow up) | Population (age/sex) | Dementia diagnosis | Exposure (via NOVA unless otherwise stated) | Adjustment | Outcome |
---|---|---|---|---|---|---|
Dearborn-Tomazos et al. 2019 [32] |
Atherosclerosis Risk in Communities (ARIC) Prospective cohort (20 years) |
15,792 males/females, mean age 54.6 years | ICD-9 and ICD-10 criteria for dementia |
Western dietary pattern: Moderate: 2° tertile High: 3° tertile |
Age, sex, education, race-field centre, total calories, apolipoprotein E e4 status, alcohol use, smoking, activity level, BMI, total cholesterol, coronary heart disease, hypertension, diabetes, stroke |
Dementia: Moderate 1.01 (0.91–1.13) and high intake 1.06 (0.92–1.22) had no significant association |
Dobreva et al. 2022 [35] |
UK Biobank Retrospective cohort (11.4 years) |
249,511 males/females, mean age 62 | ICD-9 and ICD-10 criteria for dementia |
Processed meats: Moderate: 3° quintile High: 5° quintile |
Age, sex, Townsend deprivation score, age left education, household income, physical activity, smoking status, weekly alcohol units, loneliness, depression, BMI, cholesterol, diabetes, hypertension, cardiovascular events, major dietary changes |
Dementia: Moderate 0.83 (0.72–0.95) and high intake 1.07 (0.88–1.30) had no significant association |
Feng et al. 2020 [30] |
China Health and Nutrition Survey Retrospective cohort (18 years) |
8236 males/females, mean age 62.98 years | Cognitive Screening Item: Telephone Interview for Cognitive Status (< 7) |
Fast-food, SSBs, salty snacks: Moderate: No data High: High intake |
Age, sex, smoking, drinking, ethnicity, education levels, married status, regions, gross family income, hypertension, diabetes, death, BMI and physical activity |
MCI: High intake increased the risk from 28% to over twofold Fast-foods 2.40 (1.76–3.28) SSBs 1.28 (1.02–1.61) Salty-snacks 1.52 (1.17–1.96) |
Filippini et al. 2020 [36] |
Newly-diagnosed patients referred to the Cognitive Neurology Network of Modena province Case–control |
108 males/females, mean age 65 years | DSM-V criteria for dementia |
Pizza, salty snacks, processed meats, sweets, chocolates, cakes, pastries, ice cream, SSBs: Moderate: 2° tertile High: 3° tertile |
Sex, age, educational attainment, and energy intake |
Dementia: Moderate and high intake had no significant association Moderate intake: Pizza and salty snacks 0.33 (0.11–0.84) Processed meats 0.51 (0.18–1.47) Sweets, chocolates, cakes etc. 1.47 (0.50–4.38) SSBs 1.67 (0.38–7.40) High intake: Pizza and salty snacks 0.33 (0.11–0.84) Processed meats 0.94 (0.35–2.54) Sweets, chocolates, cakes etc. 2.61 (0.82–8.34) SSBs 0.62 (0.18–2.18) |
Fu et al. 2022 [31] |
Tianjin Elderly Nutrition and Cognition Cohort (TENCC) Cross-sectional |
4457 males/females, mean age 67.6 years | Petersen criteria (5 out of 5 of the criteria needed) |
Processed foods dietary pattern: Moderate: 2° quartile High: 4° quartile |
Sex, age, educational level, income, marital status, BMI, PA, hypertension, diabetes, hyperlipidemia, GS, smoking status, drinking status, and total energy intake |
MCI: Moderate intake 1.32 (0.97–1.79) had no significant association High intake 1.39 (1.03–1.88) increased by 39% |
Li et al. 2019 |
UK Biobank Prospective cohort (10 years) |
72,083 males/females, mean age | ICD-10 criteria for dementia |
Moderate: 2° quartile High: 4° quartile |
Age, sex, education level, total daily intake, smoking, alcohol intake, physical activity, BMI, sleep duration, cardiovascular disease, family history of dementia, healthy diet score |
Dementia: Moderate intake 1.02 (0.80–1.31) had no significant association High intake 1.44 (1.12–1.85) increased the risk by 44% |
Pearson et al. 2016 [33] |
REGARDS Prospective cohort (6.8 years) |
18,080 males/females, mean age 64.8 years | Six-item Screener (SIS) (shifting from intact cognitive function to impaired cognitive function (a score ≤ 4)) |
Southern dietary pattern: Moderate: 3° quintile High: 5° quintile |
Age, race, sex, region, total energy intake, income, education, physical activity, smoking status, BMI, hypertension, diabetes, cardiovascular disease and depressive symptoms |
MCI: Moderate 1.07 (0.81–1.33) and high intake 1.16 (0.93–1.45) had no significant association |
Ylilauri et al. 2022 [37] |
Kuopio Ischaemic Heart Disease Risk Factor Study (KIHD) Prospective cohort (22 years) |
2497 males, aged 42–60 years | ICD-8, ICD-9 and ICD-10 criteria for dementia |
Processed red meats: Moderate: 2° quartile High: 4° quartile |
Age, baseline examination year, energy intake, education years, pack-years of smoking, BMI, diabetes, leisure-time physical activity, coronary heart disease, use of lipid-lowering medication, intakes of alcohol, fibre, sum of fruits, berries and vegetables, and dietary fat quality |
Dementia: Moderate 1.06 (0.79–1.44) and high intake 1.12 (0.79–1.57) had no significant association |
Zhang et al. 2021 [38] |
UK Biobank Retrospective cohort (8 years) |
493,888 males/females, mean age 56.5 years | ICD-9 and ICD-10 criteria for dementia |
Processed meats: Moderate: 2° quartile High: 4° quartile |
Age, gender, ethnicity, socioeconomic status, educational level, region, BMI, physical activity, smoking status, typical sleep duration, stroke history, family history of dementia, and dietary factors including total consumption of vegetables and fruits, total fish, tea and coffee, and alcohol |
Dementia: Moderate intake 1.13 (1.02–1.25) increased the risk by 13% High intake 1.67 (1.41–1.98) increased the risk by 67% |
Miao et al. 2021 [34] |
Framingham Heart Study (FHS) Retrospective cohort (19 years) |
2664 males/females, mean age 53.7 years | DSM-IV criteria for dementia |
SSBs: Moderate: 2° tertile High: 3° tertile |
Age, sex, hypertension, smoking, BMI, diabetes |
Dementia: Moderate intake 1.53 (1.21–1.93) increased the risk by 53% High intake 2.80 (2.24–3.50) increased the risk over twofold |
The outcome column represents the odds ratio or relative risk calculated by the authors of the original included studies
ICD International Classification of Diseases, DSM Diagnostic and Statistical Manuscript of Mental Disorders