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. 2017 Feb 17;17:41. doi: 10.1186/s12890-017-0385-7

Table 4.

Odds Ratios (OR) with p values for predictors for respiratory symptoms in the past 30 days of restaurant workers

Predictors Coughing Having sputum Sore throat Shortness of breath Wheezing Nasal irritation Allergic symptom Having a cold Having any one symptoms
À la carte restaurant vs. other type 1.27 (0.75–2.18)
P = 0.38
0.97 (0.53–1.78)
P = 0.93
0.92 (0.51–1.67)
P = 0.78
0.94 (0.35–2.50)
P = 0.90
0.66 (0.28–1.58)
P = .035
0.31 (0.08–1.22)
P = 0.09
0.66 (0.29–1.53)
P = 0.34
0.90 (0.49–1.65)
P = 0.74
0.91 (0.51–1.61)
P = 0.74
Noodle vs à la carte restaurant 1.68 (0.47–6.05)
P = 0.43
1.61 (0.33–7.93)
P = 0.56
0.93 (0.23–3.75)
P = 0.92
NA 0.83 (0.09–7.28)
P = 0.86
NA 0.42 (0.08–2.19)
P = 0.30
0.94 (0.24–3.78)
P = 0.94
(0.28–3.72)
P = 0.98
Pre-prepared food vs à la carte restaurant 1.19 (0.29–4.88)
P = 0.81
1.37 (0.24–7.81)
P = 0.72
0.75 (0.16–3.55)
P = 0.71
NA 1.96 (0.20–18.88)
P = 0.56
NA 0.53 (0.08–3.42)
P = 0.50
1.12 (0.25–5.13)
P = 0.88
0.72 (0.17–2.98)
P = 0.65
Papaya salad vs à la carte restaurant 1.50 (0.39–5.87)
P = 0.56
2.05 (0.39–10.80)
P = 0.40
1.22 (0.28–5.32)
P = 0.79
NA 0.91 (0.09–8.94)
P = 0.93
NA 0.63 (0.11–3.64)
P = 0.61
(0.23–4.43)
P = 0.99
1.70 (0.41–7.04)
P = 0.47
Working 6–10 year vs 0–5 years 1.33 (0.72–2.45)
P = 0.37
0.82 (0.40–1.70)
P = 0.59
0.99 (0.49–1.98)
P = 0.97
0.49 (0.14–1.71)
P = 0.26
1.11 (0.41–2.98)
P = 0.84
1.84 (0.39–8.82)
P = 0.44
1.03 (0.39–2.69)
P = 0.95
1.04 (0.51–2.13)
P = 0.91
1.64 (0.84–3.20)
P = 0.15
Working >10 year vs 0–5 years 0.80 (0.36–1.77)
P = 0.58
2.03 (0.87–4.73)
P = 0.10
1.46 (0.63–3.37)
P = 0.38
0.86 (0.24–3.16)
P = 0.82
0.65 (0.17–2.46)
P = 0.52
2.30 (0.38–14.12)
P = 0.37
0.83 (0.24–2.84)
P = 0.77
1.86 (0.78–4.41)
P = 0.16
1.12 (0.48–2.58)
P = 0.80
Chef vs others 1.83 (1.03–3.27)
P = 0.04*
1.77 (0.90–3.47)
P = 0.10
0.95 (0.51–1.79)
P = 0.88
0.63 (0.23–1.71)
P = 0.36
1.25 (0.48–3.26)
P = 0.65
2.14 (0.43–10.51)
P = 0.35
1.09 (0.44–2.70)
P = 0.85
1.09 (0.57–2.06)
P = 0.80
1.59 (0.87–2.89)
P = 0.13
Having vs not having kitchen area 1.35 (0.69–2.63)
P = 0.38
1.51 (0.68–3.39)
P = 0.32
1.99 (0.86–4.58)
P = 0.11
0.80 (0.25–2.63)
P = 0.72
2.73 (0.61–12.25)
P = 0.19
2.28 (0.28–18.60)
P = 0.44
NA 3.46 (1.29–9.27)
P = 0.02*
1.73 (0.88–3.41)
P = 0.12
Large vs. small restaurantb 1.82 (1.02–3.25)
P = 0.04*
2.10 (1.12–3.94)
P = 0.02*
2.51 (1.34–4.67)
P < 0.01*
0.84 (0.28–2.51)
P = 0.76
1.91 (0.78–4.65)
P = 0.16
1.56 (0.42–5.74)
P = 0.51
2.37 (1.01–5.54)
P = 0.05*
1.61 (0.85–3.02)
P = 0.14
3.57 (1.72–7.42)
P < 0.01*
Vegetable oil vs. larda 0.54 (0.28–1.04)
P = 0.06
0.82 (0.40–1.69)
P = 0.59
1.08 (0.52–2.25)
P = 0.85
0.75 (0.25–2.31)
P = 0.62
1.05 (0.36–3.06)
P = 0.94
2.67 (0.32–22.09)
P = 0.36
1.56 (0.50–4.89)
P = 0.44
2.80 (1.11–6.97)
P = 0.03*
1.30
(0.65–2.62) P = 0.45
Having vs. not having ventilation hood 0.67 (0.39–1.14)
P = 0.14
0.75 (0.41–1.38)
P = 0.36
1.15 (0.64–2.09)
P = 0.64
0.75 (0.28–2.01)
P = 0.57
1.08 (0.45–2.60)
P = 0.86
0.41 (0.10–1.65)
P = 0.21
0.92 (0.40–2.13)
P = 0.85
0.83 (0.45–1.51)
P = 0.53
0.73 (0.41–1.28)
P = 0.27
Per 10 h increase in working in kitchen each week 1.07 (0.96–1.20)
P = 0.19
1.14 (1.01–1.28)
P = 0.04*
1.13 (1.00–1.27)
P = 0.04*
1.26 (1.05–1.49)
P = 0.01*
1.22 (1.04–1.42)
P = 0.02*
1.16 (0.94–1.44)
P = 0.17
1.03 (0.88–1.21)
P = 0.70
1.05 (0.94–1.18)
P = 0.38
1.16 (1.02–1.32)
P = 0.02*
Fry 2–350 dishes per week vs. no fry 1.84 (0.83–4.04)
P = 0.13
1.31 (0.54–3.17)
P = 0.55
1.88 (0.74–4.78)
P = 0.19
1.81 (0.43–7.68)
P = 0.42
2.81 (0.54–14.63)
P = 0.22
0.76 (0.10–5.79)
P = 0.80
0.72 (0.19–2.75)
P = 0.63
0.73 (0.30–1.77)
P = 0.49
2.53 (1.05–6.05)
P = 0.04*
Fry 351–745 dishes per week vs. no fry 1.80 (0.79–4.13)
P = 0.16
0.94 (0.36–2.49)
P = 0.90
2.44 (0.93–6.40)
P = 0.07
1.47 (0.30–7.13)
P = 0.63
5.19 (1.02–26.53)
P = 0.05*
1.61 (0.25–10.25)
P = 0.62
1.06 (0.28–4.02)
P = 0.93
0.61 (0.23–1.59)
P = 0.31
1.65 (0.69–3.95)
P = 0.26
Fry ≥746 dishes per week v. no fry 1.43 (0.63–3.26)
P = 0.40
1.78 (0.72–4.41)
P = 0.21
1.52 (0.57–4.06)
P = 0.40
0.53 (0.08–3.46)
P = 0.51
1.76 (0.30–10.47)
P = 0.53
1.28 (0.20–8.40)
P = 0.80
0.82 (0.21–3.15)
P = 0.77
1.29 (0.54–3.11)
P = 0.57
1.37 (0.58–3.25)
P = 0.47
Cooking every day at home vs. not cook at home 3.88 (1.35–11.14)
P = 0.01*
4.60 (1.02–20.79)
P = 0.05*
2.69 (0.75–9.72)
P = 0.13
1.59 (0.19–13.48)
P = 0.67
3.24 (0.40–26.16)
P = 0.27
NA 3.56 (0.45–28.23)
P = 0.23
4.19 (0.93–18.95)
P = 0.06
5.62 (2.09–15.12)
P < 0.01*
Cooking some days at home vs. not cook at home 2.93 (0.97–8.87)
P = 0.06
3.74 (0.79–17.78)
P = 0.10
2.98 (0.79–11.32)
P = 0.11
2.94 (0.34–25.62)
P = 0.33
1.67 (0.18–15.40)
P = 0.65
NA 1.72 (0.19–15.70)
P = 0.63
4.71 (1.00–22.20)
P = 0.05*
5.54 (1.92–16.01)
P < 0.01*
TWC every day vs. never TWC 3.66 (1.63–8.20)
P < 0.01*
3.60 (1.35–9.61)
P = 0.01*
3.00 (1.17–7.66)
P = 0.02*
2.21 (0.41–11.84)
P = 0.35
6.41 (1.34–30.64)
P = 0.02*
1.18 (0.18–7.69)
P = 0.86
4.39 (1.14–16.85)
P = 0.03*
1.47 (0.59–3.65)
P = 0.41
6.35 (2.56–15.78)
P < 0.01*
TWC some days vs. never TWC 2.33 (1.16–4.67)
P = 0.02*
2.82 (1.15–6.95)
P = 0.02*
2.47 (1.04–5.83)
P = 0.04*
2.50 (0.52–12.00)
P = 0.25
2.01 (0.41–9.84)
P = 0.39
1.22 (0.23–6.51)
P = 0.82
1.52 (0.39–5.85)
P = 0.55
1.77 (0.81–3.87)
P = 0.15
2.79 (1.42–5.49)
<0.01*

NA Not available since the sample size was too small for statistical calculation

a Vegetable oil refers to palm oil and bean oil

b Size of restaurant is defined by number of kitchen stoves. Small restaurants are those with 1–3 stoves, and big restaurants are those with more than 3 stoves

* Statistically significantly different with P <0.05