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  • Research article
  • Open Access
  • Open Peer Review

Dietary habits and obesity indices in patients with gastro-esophageal reflux disease: a comparative cross-sectional study

  • 1,
  • 2Email author,
  • 3 and
  • 4
BMC GastroenterologyBMC series – open, inclusive and trusted201717:132

https://doi.org/10.1186/s12876-017-0699-1

  • Received: 14 June 2017
  • Accepted: 20 November 2017
  • Published:
Open Peer Review reports

Abstract

Background

Gastro-esophageal reflux disease (GERD) is suggested to be associated with some socio-demographic and lifestyle factors. Although the roles of some factors such as obesity are well documented, evidence on the impact of other factors such as dietary habits are still inconclusive. The aim of this study was to determine the relationship between socio-demographic and lifestyle factors with GERD in participants referred to a teaching hospital in Zahedan, South-East of Iran.

Methods

This comparative cross-sectional study was conducted during 2014–2015. All patients completed a structured questionnaire regarding information on socio-demographic status, lifestyle factors and dietary habits. Anthropometric indices including body mass index (BMI) and waist circumference (WC) were used to determine general and central obesity, respectively. Data were analyzed using SPSS software version 22. Value of p < 0.05 was considered as statistically significant.

Results

Five hundred and five participants, including 285 GERD and 220 Non-GERD participants participated in the study. In univariate analysis, being married (OR = 1.57, 95%CI = 1.04, 2.36), general obesity (OR = 1.77, 95%CI = 1.11, 2.81), central obesity (OR = 2.09, 95%CI = 1.46,3.01) and consumption of citrus fruits between meals (OR = 1.69, 95%CI = 1.04, 2.73) were associated with higher odds of GERD, while higher educational level (OR = 0.53, 95%CI = 0.36,0.77) and regular physical activity ≥2 h/week (OR = 0.53, 95%CI = 0.30, 0.94) were associated with lower odds of GERD. In the adjusted model, central obesity (OR = 1.88, 95%CI = 1.18, 3.01) and consumption of citrus fruits between meals (OR = 2.22, 95%CI = 1.30, 3.81) were positively associated with odds of GERD, while higher educational level (OR = 0.55, 95%CI = 0.33, 0.91) was associated with decreased odds of GERD.

Conclusion

According to the results of the current study, central obesity as determined by WC and citrus fruit intake were independent factors associated with GERD. Therefore, lifestyle modification might have a positive effect in the treatment of GERD in an urban population of Iran.

Keywords

  • Gastro-esophageal reflux disease
  • Dietary habits
  • Central obesity
  • Waist circumference

Background

Gastro-esophageal reflux disease (GERD) is one of the most common disorders of the upper digestive tract worldwide. The prevalence of GERD is estimated within the range of 18.1% to 27.8% in North America, 8.8% to 25.9% in Europe, and 8.7% to 33.1% in the Middle East [1]. In Iran, prevalence of GERD is estimated within the range of 1.9 to 52% [2]. GERD is characterized primarily based on typical symptoms of heartburn and regurgitation. In addition to the esophageal manifestations of GERD, its effect on quality of life as well as extra-esophageal presentations such as dry cough, chest pain, sleep difficulties, and teeth decays, have been increasingly recognized among gastroenterologists [3, 4]. Up to now, a combination of lifestyle modifications and anti-reflux medications are recommended for the management of GERD symptoms [5].

There is evidence that several socio-demographic and lifestyle factors are predictors of GERD development. The roles of some risk factors such as obesity are well known in epidemiological studies [6]. However, evidence on other variables particularly dietary habits are still inconclusive. Current guidelines recommend that reflux-triggering foods such as coffee, chocolate, spicy foods, and citrus fruit should not be routinely eliminated in management of GERD [7]. However, some studies revealed that specific dietary choices were related to higher risk of GERD development or the severity of the disease [8, 9]. In recent years, increased awareness of the side effects of medication on the general population shifted attention gradually, from pharmacological therapies to dietary modifications as the first-line management for GERD [10, 11]. Besides, it is proposed that eating habits may contribute to GERD risk through their effect on body weight [12]. Unfavorable eating patterns, which are mainly characterized by frequent consumption of carbonated drinks, fast foods, and large portion-size meals are positively associated with development of obesity [13] which in turn, may contribute to increased GERD risk.

Although, there are many studies in Iran investigating predictors of GERD risk in terms of lifestyle related factors such as smoking and obesity, evidence on the association between dietary habits and GERD are scarce and even inconsistent. A study from North of Iran showed a positive association between lying down after meals, with increased frequency of GERD, however such an association was not found for consumption of beverages and spicy foods [14]. Similarly, a study in South of Iran found no significant association between consumption of tea, coffee, and fast foods, with GERD [15]. High burden of disease in the Iranian population [16], makes it necessary to identify factors associated with GERD in different regions, for implementing prevention programs. Therefore, the aim of the present study was to determine independent factors associated with GERD in patients referred to a teaching hospital in Zahedan, South-East of Iran.

Methods

Participants

A comparative cross-sectional study was conducted during 2014–2015 at Zahedan, center of Sistan and Baluchestan province in South-East of Iran, which has a referral Gastroenterology and Hepatology clinic in Ali-Ibn-AbiTalib Hospital. During the clinical interview, a gastroenterologist asked patients about the symptoms of GERD. All participants (20 to 60 years old) with frequent (more than weekly) typical reflux symptoms including heartburn and acid regurgitation with diagnosis of GERD were included in the study. In addition, 220 healthy age- and sex-matched participants with no GERD-related symptoms were regarded as the control group. The control group was chosen from among the relatives of patients who were referred to the gastroenterology unit and other medical specialties clinics in the hospital. Those with a history of upper GI surgery, taking non-steroidal anti-inflammatory drugs (NSAIDs) or anti-reflux therapies in the previous month, and participants with history of other gastrointestinal diseases were excluded. All participants signed a written informed consent. The study protocol was approved by the Ethics Committee of Children and Adolescent Health Research Center, Zahedan University of Medical Sciences, Zahedan, Iran.

Questionnaire and anthropometric measurements

A structured questionnaire was completed by researchers of the study through face-to-face interviews (Additional file 1: The structured questionnaire was developed to obtain information on socio-demographic and lifestyle-related factors in this study.). The first part of the questionnaire consisted socio-demographic information including age, sex, marital status, education, job level, and presence of any concomitant disease (asthma, diabetes, hypertension, hyperlipidemia, chronic kidney disease and/or chronic artery disease. The second part included questions about lifestyle factors including smoking (cigarette or hookah) and substance abuse (opium or nass, which is a combination of tobacco, ash, and lime), physical activity, consumption of large portion-size meals, fast foods (including sausage, fried chicken, pizza, hamburger, French fries, and doughnuts), spicy foods (including chili pepper, turmeric, ginger, cinnamon, and curry), chocolate, tea, coffee, citrus fruit, carbonated drinks, number of meals consumed daily, time interval between the last meals and sleep, and resting immediately after main meals. To assess consumption of large portion-size meals, food photographs were applied. Each photograph was comprised of foods that were habitually consumed as a main meal (breakfast, lunch, and dinner) in Iranian culture, for example, a photograph of a dish containing “rice, meat, and beans” typically represented a meal for lunch or dinner meal, served by the Iranian population. Food items were presented in their standard portion size which had been proposed by the USDA food guide pyramid (for example one cup, slice, or teaspoon) [17]. Then, participants were asked to estimate whether they consumed a larger portion than what was presented in the past week, and if they responded “yes,” the frequency of consumption was assessed. An intake of large portion-size meals for each participant was recorded by summing up the weekly consumption of these meals.

A trained staff conducted anthropometric measurements. Weight and height were measured with accuracy of 0.1 kg and 0.5 cm respectively, using Seca instruments (Seca, Hamburg, Germany). Body mass index (BMI) was calculated as weight (kg)/height2 (m2). Waist circumference (WC) was measured by a non-elastic tape at the midpoint of the last rib margin and iliac crest according to WHO standards [18]. Values of BMI ≥ 30 kg/m2 was defined as general obesity. Also, WC ≥102 cm in men and WC ≥ 88 cm in women were regarded as central obesity.

Statistical analysis

The Chi-square test was used to assess the differences in socio-demographic and lifestyle factors between GERD and non-GERD participants. Multiple logistic regression model was employed to detect independent factors associated with GERD. Validity of the regression model was checked using the Hosmer–Lemeshow goodness-of-fit test. Multicollinearity between variables in the model was evaluated using the Variance Inflation Factor (VIF). Variables were excluded from the adjusted model if they had showed multicollinearity, which was considered as VIF > 5 [19]. Results were expressed as percentages, crude and adjusted odds ratios (ORs), and 95% confidence intervals (CIs). Data were analyzed using SPSS software version 22 (IBM Corp., Armonk, NY, USA). A value of p < 0.05 was considered as statistically significant.

Results

A total of 505 participants consisting of 285 GERD and 220 Non-GERD cases were included. Table 1 compares socio-demographic status and obesity indices between GERD and Non-GERD participants. In comparison with the Non-GERD group, the GERD group had significantly higher percentage of married individuals (p = 0.02) as well as the presence of concomitant disease (p = 0.001). Level of education (p = 0.001) and regular physical activity ≥2 h per week (p = 0.03) inversely influenced the prevalence of GERD. In addition, the prevalence of general obesity (p = 0.01) and central obesity (p = <0.001) were significantly higher in the GERD group compared to the Non-GERD ones. Dietary habits of participants are presented in Table 2. There were no significant differences in dietary habits between the two groups.
Table 1

The association between socio-demographic factors and obesity indices with GERD in study participants

Variable

Total

N = 505

GERD

N = 285

Non- GERD

N = 220

P-value*

N

%

N

%

N

%

Age (years)

  < 35

292

57.8

160

56.1

132

60

0.38

  ≥ 35

213

42.2

125

43.9

88

40

Gender

 Men

156

30.9

78

27.4

78

35.5

0.051

 Women

349

69.1

207

72.6

142

64.5

Marital status

 Single

123

24.4

59

20.7

64

29.1

0.02**

 Married

382

75.6

226

79.3

156

70.9

Education (years)

  < 12 years schooling

328

65

203

71.2

125

56.8

0.001**

  ≥ 12 years schooling

177

35

82

28.8

95

43.2

Job

 Unemployed

337

66.7

198

69.5

139

63.2

0.32

 Self-employed

97

19.2

51

17.9

46

20.9

 Employee

71

14.1

36

12.6

35

15.9

Smoking or substance abuse

 Yes

61

12.1

37

13.0

24

10.9

0.47

 No

444

87.9

248

87.0

196

89.1

Physical activity (hours/wk)

  < 2

451

89.3

262

91.9

189

85.9

0.03**

  ≥ 2

54

10.7

23

8.1

31

14.1

Concomitant diseases a

 Yes

165

32.7

111

38.9

54

24.5

0.001**

 No

340

67.3

174

61.1

166

75.5

BMI

  < 30

407

80.6

219

76.8

188

85.5

0.01**

  ≥ 30

98

19.4

66

23.2

32

14.5

WC (cm)

 Men <102; Women <88

272

53.9

131

46.0

141

64.1

<0.001**

 Men ≥102; Women ≥88

233

46.1

154

54.0

79

35.9

BMI body mass index, WC waist circumference. aConcomitant diseases, including asthma, diabetes, hypertension, hyperlipidemia, chronic kidney disease and/or chronic artery disease. *p-values was derived from Chi-square test. **Significant at the level of p< 0.05

Table 2

The association between dietary habits and GERD in study participants

Variable

Total N = 505

GERD N = 285

Non- GERD N = 220

P-value*

N

%

N

%

N

%

Numbers of meals consumed daily(meals/d)

  < 3

185

36.6

107

37.5

78

35.5

0.62

  ≥ 3

320

63.4

178

62.5

142

64.5

Time interval between the last meal and sleep (hours)

  < 2

247

48.9

146

51.2

101

45.9

0.23

  ≥ 2

258

51.1

139

48.8

119

54.1

Resting immediately after the main meals

 Yes

335

66.3

186

65.3

149

67.7

0.56

 No

170

33.7

99

34.7

71

32.3

Large portion-size meals (times/wk)

  < 2

236

46.7

123

43.2

113

51.4

0.06

  ≥ 2

269

53.3

162

56.8

107

48.6

Fast foods intake (times/wk)

  < 2

468

92.7

267

93.7

201

91.4

0.32

  ≥ 2

37

7.3

18

6.3

19

8.6

Spicy foods intake (times/wk)

  < 2

271

53.7

152

53.3

119

54.1

0.86

  ≥ 2

234

46.3

133

46.7

101

45.9

Chocolate intake (times/wk)

  < 2

324

64.2

179

62.8

145

65.9

0.47

  ≥ 2

181

35.8

106

37.2

75

34.1

Tea intake

 None

38

7.5

20

7

18

8.2

0.54

 Just before meals

109

21.6

67

23.5

42

19.1

 Just after meals

98

19.4

51

17.9

47

21.4

 Between meals

260

51.5

147

51.6

113

51.4

Coffee intake

 None

474

93.9

272

95.4

202

91.8

0.18

 Just before OR after meals

12

2.4

4

1.4

8

3.6

 Between meals

19

3.8

9

3.2

10

4.5

Citrus intake

 None

360

71.3

195

68.4

165

75

0.08

 Just before OR after meals

52

10.3

28

9.8

24

10.9

 Between meals

93

18.4

62

21.8

31

14.1

Carbonated drinks intake

 None

217

43

127

44.6

90

40.9

0.16

 Within meals

234

46.3

134

47

100

45.5

 Between meals

54

10.7

24

8.4

30

13.6

*p-values was derived from Chi-square test

Table 3 shows results of univariate and multiple regression analysis for detection of independent factors associated with GERD development, as the study outcome. In univariate analysis, being married (OR = 1.57, 95%CI = 1.04, 2.36), general obesity (OR = 1.77, 95%CI = 1.11, 2.81), central obesity (OR = 2.09, 95%CI = 1.46, 3.01), and consumption of citrus fruits between meals (OR = 1.69, 95%CI = 1.04, 2.73) were significantly associated with higher odds of GERD, while higher level of education (OR = 0.53, 95%CI = 0.36, 0.77) and regular physical activity ≥2 h/week (OR = 0.53, 95%CI = 0.30, 0.94) were associated with lower odds of GERD. Based on the Hosmer-Lemeshow goodness-of-fit test, the regression model showed a good calibration (Chi-square 7.52; degrees of freedom = 8; p-value = 0.48). Also, no sign of multicollinearity was observed between variables, as all variables had VIF ≤ 2 and thus, all independent variables were included in the regression model. In the multiple regression model, central obesity (OR = 1.88, 95%CI = 1.18, 3.01) and consumption of citrus fruits between meals (OR = 2.22, 95%CI = 1.30, 3.81) were associated with increased odds of GERD, while higher level of education (>12 years) (OR = 0.55, 95%CI = 0.33, 0.91) was associated with decreased odds of GERD.
Table 3

Factors related to GERD development as the outcome variable by univariate analysis and multiple regression analysis (N = 505)

Variable

B

Univariate OR

Adjusted OR

 

95% CI

 

95% CI

OR

Lower

Upper

OR

Lower

Upper

Age (years)

  < 35a

−0.30

1

 

1

 

  ≥ 35

1.17

0.82

1.67

0.734

0.466

1.15

Gender

 Mena

0.02

1

 

1

 

 Women

1.45

0.99

2.13

1.02

0.53

1.97

Marital status

 Singlea

0.19

1

 

1

 

 Married

1.57*

1.04

2.36

1.21

0.75

1.97

Education (years)

  < 12 years schoolinga

−0.59

1

 

1

 

  ≥ 12 years schooling

0.53*

0.36

0.77

0.55*

0.33

0.91

Job

 Unemployeda

 

1

 

1

 

 Self-employed

0.07

0.77

0.49

1.22

1.08

0.52

2.22

 Employee

0.19

0.72

0.43

1.20

1.21

0.57

2.53

Smoking or substance abuse

 Noa

0.33

1

 

1

 

 Yes

1.21

0.70

2.10

1.40

0.76

2.56

Physical activity (h/wk)

  < 2a

−0.38

1

 

1

 

  ≥ 2

0.53*

0.30

0.94

0.67

0.34

1.32

BMI (kg/m2)

  < 30a

0.27

1

 

1

 

  ≥ 30

1.77*

1.11

2.81

1.32

0.76

2.29

WC (cm)

 Men <102; Women <88a

0.63

1

 

1

 

 Men ≥102; Women ≥88

2.09*

1.46

3.01

1.89*

1.18

3.01

Numbers of meals consumed daily (meals/d)

  < 3a

−0.16

1

 

1

 

  ≥ 3

0.91

0.63

1.31

0.85

0.56

1.27

Time interval between the last meal and sleep (hours)

  < 2a

−0.16

1

 

1

 

  ≥ 2

0.80

0.56

1.15

0.84

0.57

1.24

Resting immediately after the main meals

 Noa

0.004

1

 

1

 

 Yes

0.89

0.61

1.30

1.004

0.66

1.51

Large portion-size meals (times/wk)

  < 2a

0.32

1

 

1

 

  ≥ 2

1.39

0.97

1.98

1.38

0.94

2.04

Fast foods intake (times/wk)

  < 2a

−0.13

1

 

1

 

  ≥ 2

0.71

0.36

1.39

0.87

0.42

1.82

Spicy foods intake (times/wk)

  < 2a

−0.02

1

 

1

 

  ≥ 2

1.03

0.72

1.46

0.97

0.66

1.45

Chocolate intake (times/wk)

  < 2a

0.19

1

 

1

 

  ≥ 2

1.14

0.79

1.65

1.21

0.80

1.82

Tea intake

 Nonea

 

1

 

1

 

 Just before meals

0.14

1.43

0.68

3.02

1.16

0.51

2.60

 Just after meals

−0.15

0.97

0.46

2.06

0.85

0.37

1.94

 Between meals

−0.03

1.17

0.59

2.31

0.96

0.45

2.04

Coffee intake

 Nonea

 

1

 

1

 

 Just before/ after meals

−0.53

0.37

0.11

1.25

0.58

0.15

2.18

 Between meals

−0.19

0.66

0.26

1.67

0.82

0.29

2.3

Citrus intake

 Nonea

 

1

 

1

 

 Just before/after meals

0.35

0.98

0.55

1.76

1.42

0.73

2.76

 Between meals

0.80

1.69*

1.04

2.73

2.22*

1.30

3.81

Carbonated drinks intake

 Nonea

 

1

 

1

 

 Within meals

−0.07

0.95

0.65

1.38

0.92

0.61

1.39

 Between meals

−0.57

0.56

0.31

1.03

0.56

0.28

1.10

BMI body mass index, WC waist circumference, OR odds ratio, CI confidence interval

aReference group. *Significant at the level of p < 0.05

Discussion

The aim of the present study was to assess dietary habits, lifestyle, and socio-demographic status of GERD patients in South-East of Iran. Although central obesity and citrus fruit intake were independent factors associated with GERD, such an association was not found for other dietary habits, BMI, and socio-demographic status. Previous researches have indicated that high BMI, an index of general obesity, is a risk factor for GERD development and severity of symptoms [20, 21]. In this study, central obesity, determined by high WC was an independent predictor of GERD. Although high BMI was associated with higher odds of GERD in the univariate analysis, this association remained non-significant in the adjusted model analysis. Excess abdominal fat can increase the risk of GERD through several mechanisms including increased intra-gastric pressure, decreased lower esophageal sphincter (LES) pressure, and increased frequency of transient lower esophageal sphincter relaxation (TLSR), which results in acid reflux [22]. Similarly, a study on 2457 GERD patients reported that central obesity as determined by WC was one of risk factors inducing erosive esophagitis [23]. Another study by Crews et al. reported that central obesity based on high values of waist-to-hip ratio (WHpR), was an independent risk factor of erosive esophagitis [24]. It should be noted that differences in obesity indices in predicting GERD risk have been reported in other chronic disorders. A previous study found that central obesity determined by high WC was a strong predictor of adverse cardiometabolic profile, compared to BMI or WHpR [25]. In contrast, Gunji et al. found that BMI was a predictor of erosive esophagitis, while such an association was not found for central obesity measured by visceral adipose tissue and waist girth [26]. Moreover, some studies have shown that general obesity is a risk factor for severity of GERD symptoms alongside its development. However, it should be noted that the prevalence of general obesity was lower than that of central obesity in our study (19.4% vs. 46.1%), which may be suggestive of the differences between the BMI in our study compared with that of others.

The association between diet and GERD has been an issue of interest in epidemiological studies. In the present study, citrus fruit intake was the only dietary factor that might be associated with higher odds of GERD. Up to now, results on diet-GERD relationship are inconsistent among various studies. Several studies reported that consumption of caffeinated beverages (coffee and tea), carbonated drinks, citrus fruit, chocolate, spicy foods, and large-volume meals, were related to higher risk of GERD or triggering symptoms [8, 9, 2729]. It is proposed that these foods can decrease LES pressure and/or slow gastric emptying which may result in development of GERD symptoms [27]. In addition, the association between coffee and GERD is still unclear. Shimamoto et al. found no association between coffee intake and GERD among 8103 healthy Japanese individuals [30]. Moreover, results of a meta-analysis reported no association between coffee intake and GERD [31]. In our study, about 90% of participants did not consume coffee. Therefore, it seems that any possible relationship between coffee and GERD may not be obvious in this study. In terms of tea consumption and GERD, several epidemiological surveys had regarded tea as a risk factor of GERD [27, 32], although, this relationship varied depending on the type of tea consumed, such as green tea, strong tea or peppermint tea [27, 33, 34], as well as quantity of tea intake [32]. In this study, no significant association was found between the timing of tea intake and risk of GERD, which is in line with the finding of previous epidemiological reports [35, 36]. Also, we found no association between carbonated beverages and GERD. Similarly, a systematic review demonstrated that carbonated beverages were neither related to GERD development, nor exacerbation of GERD complication [37]. It should be noted that in this study, the amount of the liquid intake was not recorded. Some studies have shown that intake of large volumes of liquid may be associated with GERD development or disease severity [8, 28]. Moreover, it is proposed that this association may vary, depending on whether or not the liquid is consumed with meals. Accordingly, a study reported that intake of coffee alone had no significant changes on LES pressure, while consumption of coffee after a lunch meal significantly reduced LES pressure [38]. However, this topic seems to be still inconclusive and more researches with an emphasis on both quantity and timing of liquid intake are needed.

In terms of socio-demographic status and GERD, being married was associated with higher odds of GERD in univariate analysis. While, higher educational level was associated with lower odds of GERD in both univariate and adjusted analysis. Similarly, previous studies reported lower educational level or being married as risk factors of GERD [39, 40]. It has been suggested that the above-mentioned factors may be indirectly related to GERD through their effects on lifestyle conditions including eating habits, psychosocial stress, and hygiene practices [41]. However, other studies have demonstrated otherwise [42, 43]. It should be noted that this association could not be simply explained due to this cross-sectional design, warranting further researches in this field.

Another concern is the lack of a clear association between smoking and GERD. While previous studies have indicated smoking as an independent predictor of GERD development [21, 26, 29, 44], others could not confirm such an association [24, 35, 40], in the present study, smoking was not associated with GERD development. This is inconsistent with findings of the study conducted by Esmaillzadeh et al., which showed that in Iranian adult men, smoking was not a significant predictor for GERD [45]. A similar population-based cohort study in Norwegian population clarified that cessation of smoking was associated with improvement of GERD from severe to no or minor complaints, only among individuals within normal range of BMI but not among overweight individuals [46]. Although, smoking has a stimulatory effect on acid exposure, only 4% of the variations in GERD symptoms are attributed to acid exposure [47, 48]. Besides, the inconsistency among studies might be due to differences in the socio-demographic status of study populations, sample sizes, criteria for diagnosis of GERD, and definition of smoking status. Of note is that in this study, similar to that of Esmaillzadeh et al. (7.8% of the study participants were smokers) [45], prevalence of smoking was low, making it difficult to draw a significant relationship between smoking with GERD.

There are some limitations of our study, worth mentioning. First, we cannot ignore the effect of recall bias on our investigation, although trained staff were responsible for data collection, to reduce any possible errors which might be influenced in the results. Second, dietary intake from other food groups such as dairy products, meats, grains, and fats, as well as total energy and nutrient intake were not investigated. A study by Wu et al. found that intake of meat, oil, salt, and calcium were related to an increased risk of GERD, while intake of carbohydrate, protein, vitamin C, starches, egg, and fruits were inversely associated with GERD development [49]. However, the present study focused on those specific dietary sources which have mostly known for their refluxogenic effect. We suggest that future studies should focus on the diet-GERD relationship in the context of dietary patterns, rather than of specific nutrients, food items, or food groups. This approach therefore, will assess the combined effect of various dietary components, and as a result, provide a more comprehensive and precise information on the diet-GERD relationship.

Conclusions

To our knowledge, this study provides the first evidence on predictors of GERD in the Sistan and Baluchistan province. Central obesity as determined by WC and citrus fruit intake were independent factors associated with GERD development in the study population. Due to increasing prevalence of GERD in Iran, detection of risk factors for GERD can assist health professional to promote preventive programs in this region.

Abbreviations

BMI: 

Body mass index

CIs: 

Confidence intervals

GERD: 

Gastro-esophageal reflux disease

GI: 

Gastrointestinal

LES: 

Lower esophageal sphincter

NSAIDs: 

Non-steroidal anti-inflammatory drugs

ORs: 

Odds ratios

TLSR: 

Transient lower esophageal sphincter relaxation

USDA: 

US Department of Agriculture

WC: 

Waist circumference

WHO: 

World Health Organization

WHpR: 

Waist-to-hip ratio

Declarations

Acknowledgements

We would like to thanks to Dr. Zohreh Bari for her valuable assistance in data collection.

Funding

Supported by Zahedan University of Medical Sciences (Grant number: 1191).

Availability of data and materials

The datasets generated and/or analysed during the current study are not publicly available since we assured our participants to keep their data in secret, but are available from the corresponding author on reasonable request.

Authors’ contributions

OE drafted the manuscript; MSh developed the study protocol and revised the manuscript; AB and TSh provided assistance in data collection and revised the manuscript. All authors read and approved the final manuscript.

Ethics approval and consent to participate

This study was performed in accordance to the principles of the Declaration of Helsinki. The study protocol was approved by the Ethics Committee of Children and Adolescent Health Research Center, Zahedan University of Medical Sciences, Zahedan, Iran. Also, a written informed consent was given of all participants.

Consent for publication

Not applicable

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
(2)
Department of Nutrition, Faculty of Medicine & Children and Adolescents Health Research Center, Resistant Tuberculosis Institute, Zahedan University of Medical Sciences, P.O. Box :98167-4315, Zahedan, Iran
(3)
Gastroenterology and Hepatology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
(4)
Department of Pediatrics, Faculty of Medicine & Children and Adolescents Health Research Center, Resistant Tuberculosis Institute, Zahedan University of Medical Sciences, Zahedan, Iran

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