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. 2021 Jan 19;13(1):272. doi: 10.3390/nu13010272

Table 1.

Characteristics of the included studies.

Reference Country Study Design and Follow-Up Period Participants Exposure vs. Comparison, Measurement Outcome, Measurement Results
n Total
n Cases *
Sex **
Age ***
Estimated Effect Sizes
(95%CI LL; UL)
Goto et al., 2008 [36] Japan retrospective, check-up data, 2000–2007 4634
598
100%
21.5
Skipping ≥ 2 vs. ≤ 1 d/wk,
self-administered questionnaire
>5% increased BMI,
weight and height measurement
OR = 1.34 (1.12; 1.62)
Guinter et al., 2020 [90] USA, Puerto Rico Sisters Study, prospective cohort, 2003–2015 46,037
2797, 2383,
6807
0%
55.3
Eating 3–4 d/wk vs.
0, 1–2, 5–6, 7 d/wk,
FFQ
5-year incident BMI ≥ 25 kg/2, ≥ 30 kg/2, ≥ 5 kg weight gain,
weight and height measurement and self-reported weight
5-yr incident BMI ≥ 25kg/2:
0 d/wk RR = 0.74 (0.62; 0.89),
1–2 d/wk RR = 0.91 (0.78; 1.07),
5–6 d/wk RR = 0.97 (0.85; 1.09),
7 d/wk RR = 0.88 (0.78; 0.99)
5-yr incident BMI ≥ 30kg/2:
0 d/wk RR = 0.72 (0.59; 0.87),
1–2 d/wk RR = 0.75 (0.62; 0.89),
5–6 d/wk RR = 0.91 (0.80; 1.04),
7 d/wk RR = 0.79 (0.70; 0.90)
5-yr incident ≥ 5 kg weight gain:
0 d/wk RR = 1.00 (0.90; 1.11),
1–2 d/wk RR = 0.98 (0.89; 1.08),
5–6 d/wk RR = 0.99 (0.92; 1.06),
7 d/wk RR = 0.97 (0.91; 1.04)
Hurst and Fukuda, 2018 [37] Japan secondary analysis of insurance and health check-up data, 2008–2013 59,717
20,671
66%
47.4
Skipping ≤ 2 vs. ≥ 3 d/wk,
Health check-up question
BMI ≥ 25 kg/2,
BMI and WC change,
BMI and WC data from check-up
BMI ≥ 25kg/2:
OR = 0.92 (0.87; 0.97)
BMI change (in kg/2):
β = 0.00 (−0.03; 0.04)
WC change (in cm):
β = 0.03 (−0.11; 0.16)
Kahleova et al., 2017 [93] North America Canada AHS-2, prospective cohort, 2002–2010 50,660
n.g. ++
36%
58
Eating vs. skipping,
Hospital History Form
BMI change/year,
weight and height measurement and self-report
BMI change (in kg/2):
β = −0.03 (−0.04; -0.01)
Kito et al., 2019 [38] Japan retrospective cohort, 2008/09–2012 45,524
5093
100%
34
Skipping ≥ 3 vs. ≤ 2 d/wk,
Health check-up question
BMI ≥ 25 kg/2,
weight and height measurement
OR = 1.18 (1.04; 1.33)
Nooyens et al., 2005 [92] The Netherlands Doetinchem Cohort Study, prospective, 1987–2002 288
n.g. ++
100%
54.9
Eating 0–7 d/wk
Dutch version of EPIC FFQ
Weight and WC change/year,
weight, height and WC measurement
Weight change (in kg):
β = 0.04 (n.g. ++)
WC change (in cm):
β = 0.10 (n.g. ++)
Odegaard et al., 2013 [91] USA CARDIA Study, prospective cohort, 1992/93–2011 3598
972 WC
783 BMI
44%
32.1
Eating ≤ 3 vs. 4–6, 7 d/wk,
interviewer-administered CARDIA DHQ
BMI ≥ 30 kg/2,
WC > 88 cm for women and > 102 cm for men,
weight, height and WC measurement
BMI ≥ 30 kg/2:
4–6 d/wk HR = 0.75 (0.62; 0.90),
7 d/wk HR = 0.57 (0.47; 0.68)
WC > 88 or 120 cm:
4–6 d/wk HR = 0.84 (0.70; 0.99),
7 d/wk HR = 0.78 (0.66; 0.91)
Smith et al., 2017 [39] Australia CDAH Study, prospective cohort, baseline 2002/04–2011 1155
410
43%
31.5
Met guidelines # consistently vs. met not,
postal questionnaire
5-year weight change,
weight and height measurement and self-report
5-yr weight change (in kg):
β = 1.5 (0.5; 2.8)
van der Heijden et al., 2007 [94] USA HPFS, prospective cohort, 1992–2002 20,064
5857
100%
57.3
Eating vs. skipping,
semi-quantitative FFQ
≥ 5 kg weight gain,
self-reported weight
HR = 0.87 (0.82; 0.93)

* participants, in which the analyzed outcome occurred; ** male sex in percentage; *** mean age in years; 95% CI LL; UL = 95% confidence interval: lower limit; upper limit; d/wk = days per week; ++ information not given; AHS = Adventist Health Study; CARDIA = Coronary Artery Risk Development in Young Adults; CDAH = Childhood Determinants of Adult Health; HPFS = Health Professionals Follow-Up Study; FFQ = Food Frequency Questionnaire; EPIC = European Prospective Investigation into Cancer and Nutrition; BMI = body mass index; WC = waist circumference, kg = kilograms; m2 = square meters; yr = year; OR = odds ratio; RR = relative risk; HR = hazard ratio; # referring to the 2010 Dietary Guidelines for Americans: eating a nutrient-dent breakfast vs. not eating breakfast [35].