A Case-Control Study on Maternal caffeine intake during Pregnancy and Risk of Low Birth Weight in Wolaita zone, Southern Ethiopia

DOI: https://doi.org/10.21203/rs.3.rs-113435/v1

Abstract

Background: World Health Organization (WHO) recommends caffeine intake during pregnancy should be lower than 300 mg/day. Maternal caffeine intake is associated with adverse birth outcomes. However, little information is available on maternal caffeine consumption during pregnancy and its effect on birth weight.

Objective: This study aimed to evaluate the level of maternal caffeine intake during pregnancy and its effect on birth weight in Wolaita zone hospitals in South Ethiopia. .

Method: The case-control study design was applied from March 1 to July 30, 2019. A total of 395 mothers (99cases and 296 controls) were interviewed by trained data collectors using a structured and pretested questionnaire. Anthropometric measurements were taken both from mothers and newborns. The association between maternal caffeine intake and birth weight was computed through bivariable and multivariable logistic regression analyses and statistical significance was declared at p-value < 0.05.                                                                       

Results: Mean (±SD) caffeine intake among pregnant women was 342±172 mg/day. A vast majority of the respondents 374(94.7%) consumed caffeine during the current pregnancy, out of this 269(68%) ingested 300mg or more of caffeine per day (high consumers).

Relatively more mothers of low birth weight infants were consumed high caffeine 87(87.9%) compared with controls (51.5%). multivariable logistic regression model indicated that those mothers who consumed high caffeine during pregnancy were four times more likely to have a newborn with low birth weight (AOR= 4.1( 95% CI 1.2, 10.1)

Conclusion: This research result gives insight for health professional should be aware of the impact of heavy caffeine consumption on birth outcome and try to screen and consulate pregnant mothers who are at risk of having infants with LBW and provide skilled nutritional counseling during ANC visits, including the intake of caffeine.

Introduction

Weight at birth is a good pointer of maternal and fetal healthiness and nourishment[1]. Low birth weight infants have more risk of dying in the first month of life. Those who survive are more probable to experience inhibited growth, adulthood stunting that, in turn leading to the intergenerational effect of undernourishment, lower cognitive development, and chronic non-communicable diseases later in life.  In addition to its direct consequences on physical and mental health, LBW has significant socioeconomic bearings, such as low workplace efficiency and increased costs on healthcare, with adverse impacts on national development [2-4].

Birth weight can be determined by Many factors, might be related to fetal, maternal, or the physical environment. There is a growing evidence that maternal diet influences fetal growth and can increase the risk for pregnancy complications.  Maternal excessive caffeine intake during pregnancy has also been suggested as a risk factor for low birth weight [1-7].

Caffeine (1, 3, 7- trimethyl xanthine), is a plant alkaloid found mainly in coffee, tea, cola soft drinks, and cocoa/chocolate and available worldwide is thus frequently consumed during pregnancy. In pregnant ladies, clearance of caffeine from the body is delayed, in particular in the second and third trimesters, because of reduced activity of the liver enzyme that is responsible for caffeine metabolism [7-8]. Caffeine can also pass through all biological membranes and freely crosses the blood-brain barrier, and the placenta in pregnant women. Maternal and fetal plasma can attain equilibrium [9]. The immature fetal liver enzyme is not capable to metabolize it, ensuing in the accumulation of caffeine in the fetus this can increase the concentration of cellular cyclic adenosine mono phosphate (cAMP), interfering in fetal cell growth and development.

furthermore, caffeine cause mainly its biological outcomes through inhibiting all kinds of adenosine receptors and increasing the catecholamine concentrations within the mother among the fetus, leading to reduced placental blood flow and hinders placental nutrient and oxygen transport to the fetus[9-10].

World Health Organization (WHO) guidelines recommend a caffeine intake should be lower than 300 mg/day during pregnancy. However, current recommendations of the European Food Safety Authority (EFSA) and the American Institute of Medicine have restricted the amount to 200 mg/day [11-13].

Studies showed that high maternal caffeine intake during pregnancy may lead to a miscarriage, preterm delivery, or low-birth weight. Many studies have shown an increased risk of low -birth weight when daily maternal caffeine intake above 300 mg, a daily caffeine consumption between 151 and 300 mg, and infrequently even 150 mg or lower has been associated with risks of low birth weight[14,15,17,18,19].

Coffee plays a significant role in each cultural and social life of the Ethiopian society besides the most popular beverage in the country and the most common source of caffeine during pregnancy [20].  Despite the significant effect of caffeine consumption with adverse birth outcomes, however, little information is available on maternal coffee consumption during pregnancy in Ethiopia. Thus, this study aimed to evaluate the level of maternal coffee intake during pregnancy and its effect on birth weight in hospitals in the Wolaita zone.

Methods And Materials

Study area, design, and period

The Wolaita zone is one of the fourteen zones of the  Southern Nation Nationalities and Peoples Region (SNNPR), which is 327 km from Addis Ababa, the capital of Ethiopia. The zone has a total area of 4512 square kilometers, administratively divided into 12 districts and 3 town administrations with a total population of nearly 1.7 million.  According to the zonal health office report,8 hospitals( out of this 1 is a referral hospital, 5 primaries governmental and 2 nongovernmental). 342 health posts, 10 private clinics, and 67 health centers are in the zone. A facility- based case control study design was conducted in three hospitals in Wolaita zone: Wolaita Sodo referral hospital, Dubo and Bonbe primary hospital from March 1 to July 30, 2019.  In 2018, the total number of births from the three hospitals was 6,189.

Study population

All mothers who gave birth in the three hospitals were the source population. Mothers who gave live births weighing less than 2500 g were considered as cases and live births weighed 2500 g and above as controls. Term newborns and Singletons were included. Birth outcomes such as congenital malformations, mothers who had diabetes mellitus, hypertension, and an unknown last normal menstrual period were excluded.

Sample size determination and sampling techniques

The sample size was calculated using the proportion difference approach with the following assumptions: level of confidence 95%(Zα/2= 1.96), power 80%(Zβ = 0.84), and the ratio of control to case 3to1 the odds ratio to be detected greater than 2 and 20% [21]of the control group to be exposed, With the anticipation of 10% non- response rate, the final sample size was 403, which is 101 cases and 302 controls. It was proportionally assigned based on the number of prior childbirth attendance. The weight of all live births delivered in the selected hospitals of the Wolaita zone during the study period was measured. According   to the case definition, those mothers who gave live births weighed less than 2500g included in the study as cases. For each  case, three consecutive controls were included.

Data collection tools and procedure

Data were collected with structured and pretested questionnaires through face- to -face interviews. The tools were adapted from Caffeine Consumption Questionnaire-Revised (CCQ-R) and the Ethiopian Demographic Health survey and other peer- reviewed articles(additionalfile1) [21-24]. It consists of the socio -demographic background, maternal /obstetric, and coffee consumption related questions. The questionnaire was initially prepared in English and then translated to local language and back- translated to English to observe its consistency. A pre-test was done with 20 respondents who were later not included in the main study. In addition, training was given to data collectors on the different components of the questionnaire, study participants selection, anthropometric measurements, and ethics.

Anthropometric measures were standardized for technical Errors against an expert measurer and always checked and zeroed before weighing each newborn. Weights of newborns were measured within an hour after birth with a digital weight scale. Maternal weight was measured using a digital weight measuring scale to the nearest gram.

Caffeine intake from coffee is the main sources of caffeine in the diet of pregnant women according to the available literature in Ethiopia [20]. Habitual Dietary caffeine intake from coffee was assessed by habitual daily coffee consumption. The amount of coffee consumption was measured by using a cup of coffee per day.  Participants were asked about the frequency and type of cups they consumed in the last 24-hr. The Photo Album was used to precisely evaluate portion size. The daily 24-hr recall consumption data were converted in to milliliters (ml), after that data was multiplied by the amount of caffeine from coffee in each milliliter (0.5309 mg/ml was obtained from a study conducted in Ethiopia)[20]. Finally, Caffeine consumption from coffee during pregnancy was categorized as none consumer, low consumer (< 300 mg/day), and high consumer (≥300 mg/day), according to the Care Study Group [25].

Data processing and analysis

Data were entered into Epi-Info (Version 6.0), cleaned, and exported to IBM SPSS for Windows (Version 20.0) for analysis. Descriptive statistics such as means and standard deviations, frequency, percentages, and cross- tabulations were computed for the case and control groups. Bivariable binary logistic regression was applied to see the crude effect of each independent variable on the dependent variable (birth weight). Variables with P-values <0.25 were taken for multivariable logistic regression analysis. Finally, a multivariate logistic regression analysis was done to control for potential confounders and identify independent predictors of low birth weight. Consequently, we reported AORs with 95% CIs, and statistical significance declared at p-value < 0.05.

Results

From a total of 403 sample sizes, 395 mothers (99 cases and 296 controls) were involved in the study, with a response rate of 98%. The mean age (±SD) of respondents was 26.5 (± 5.1) which ranged to 16-39 years.  About three –fourth 78(78.8%) of cases and 83.1 % of controls were aged 20-34 years. The majority (83.8%) of cases and about half of the controls were rural residents. 65.7% of cases and about 27.4 % of controls had no formal education.

Concerning monthly family income; a third of the cases and 11% 0f the controls had an income of less than 800 ETB (26$). More than two -thirds, 43(69.4%) of mothers in the cases and 26.9% of the controls gave birth to the current newborn within two years (≤24 months) after previous childbirth. Sixty-six mothers (89.6%) in the cases weighed below 50 kg during their pregnancy and about two-thirds, 66(66.7%) of cases stayed with pre- pregnancy weight (see Table 1).

Table 1 Distribution of mothers by socio-demographic characteristics in hospitals at Wolaita zone  in South Ethiopia, July 2019(n=395)

                                

 

                     Variables

 

Low birth weight

 

Normal Birth weight 

 

 

Mothers age(year)

 

 

<20

Frequency

Percent 

frequency

Percent 

 

17

 

17.2

 

18

 

6.1

 

 

20-34

 

78

 

78.6

 

246

 

83.1

 

 

35 and above

 

4

 

4.2

 

32

 

10.8

Residence           

 

Rural

 

83

 

83.8

 

150

 

50.7

 

 

Urban

 

16

 

16.2

 

146

 

49.3

Educational status of mother         

 

No formal  education

 

65

 

65.7

 

81

 

27.4

 

 

Primary  school

 

25

 

25.2

 

124

 

41.9

 

 

Secondary school and above 

 

9

 

9.1

 

91

 

30.7

 Maternal occupation

 

Non -working 

 

75

 

75.8

 

221

 

74.7

 

 

Working 

 

 

24

 

24.3

 

73

 

25.4

House holds monthly income  

 

<800 ETB* ($26)

 

29

 

29.3

 

34

 

11.5

 

 

800-1500 ($26-46.8 )

 

30

 

30.3

 

79

 

26.7

 

 

1501-3000($47-93)

 

37

 

37.4

 

88

 

29.7

 

 

>3000($93)

 

3

 

3.0

 

95

 

32.1

Birth interval (month)

(n=278)

 

  ≤      24

 

23

 

69.4

 

58

 

29.6

 

 

  >24

 

19

 

30.6

 

158

 

73.1

Family size

 

≤ 5

27

27.3

205

69.3

Maternal weight (kg)

<50

 

≥50

66

 

33

89.6

 

10.4

11

 

285

3.7

 

96.3

Weight gain at current pregnancy  

 

 

Yes

 

No

 

33

 

66

33.3

 

66.7

280

 

16

94.6

 

5.4

Abbreviations;  ETB* Ethiopian birr


Mean (±SD) caffeine intake among pregnant women was 342±172 mg/day. A vast majority of the respondents 374(94.7%) consumed coffee during the current pregnancy, out of this 269(68%) ingested 300mg or more of caffeine per day (high consumers), while the remaining 105(26.6%) and 21(5.3%) respondents were low consumer (<300mg/day) and non-consumers respectively.

The mean (±SD) caffeine intake among cases and controls was 433± 177 and 312±159 mg/day respectively. Relatively more mothers of low birth weight infants were consuming high caffeine 87(87.9%) compared with controls (61.5%). Three percent of the mothers of LBW infants were consumed less than 300mg caffeine per day, compared with 32.4 % of mothers of the controls.  

After controlling for other factors mothers with no formal education were more likely to ingest high caffeine than mothers with advanced educational status (AOR= 2.3; 95% CI 1, 5.2).

On the other hand, non-working mothers were about two times more likely to ingest high caffeine (AOR= 2.2; 95% CI 1.3, 3.7).

Mothers residing in the rural areas were more likely to ingest high caffeine as compared to those from the nearby urban dwellers (AOR= 3.6 (95% CI 2.1, 6.2).  Mothers who weighed less than50kg had about three times at a higher risk of consuming high caffeine than Mothers who weighed 50kg and above(AOR= 3 (95% CI 1.5, 6.9)(Table 2).

Table 2, Factors associated with High Maternal caffeine intake during pregnancy in hospitals at Wolaita zone in South Ethiopia, July 2019(n=395)

Variables

 

Coffee consumption

(mg/day)

 

 

 

COR (95%CI)

 

 

P value

 

 

AOR(95%CI)

 

 

P value 

< 300                 ≥300     

N(%)

N(%)      

 

 

 

 

 Mothers age (year) 

 

 

<20

 

11(34.4)

 

 

21(65.6)

 

 

0.6(0.2,1.7)

 

 

0.36

 

 

 

20-34

106(32.5)

220(67.5)

0.66(0.3,1.4)

0.31

 

 

 

35 and above

 

9(24.3)

 

28(75.7)

 

1

 

 

 

Residence

 

Rural

 

46(19.6)

 

189(80.4)

 

4.1(2.6,6.4)

 

<0.0001

3.6(2.1,6.2)

0.0001

Urban

80(50)

80(50)

1

 

 

 

Educational status of mother

No formal education

24(16.4)

 

122(83.6)

 

5.5(3,9.9)

 

<0.0001

 

2.3(1.0,5.2)

 

0.03

 

Primary school

51(33.8)

100(66.2)

2.1(1.2,3.5)

0.004

1.3(0.7,2.4)

0.34

 

Secondary and above 

 

 

 

51(52)

 

47(48)

 

1

 

 

1

 

Maternal occupation

 

Non –working

 

87(28)

224(72)

 

2.2(1.3,3.6)

 

 

0.001

 

2.2(1.3,3.7)

 

0.002

Working 

39(46.4)

45(53.6)

1

 

 

 

House holds monthly income  

 

<800 ETB* ($26)

 

13(19.7)

 

53(80.3)

 

1

 

 

 

 

800-1500 ($26-46.8 )

29(27.6)

76(72.4)

0.6 (0.3-1.3) 

0.23

0.75(0.35,1.6)

0.4

 

1501-3000($47-93)

 

26(26.3)

73(73.7)

0.68(0.3-1.4)

 

0.332

 

0.98(0.44,2.1)

 

0.9

 

>3000($93)

58(46.4)

67(53.6)

0.28(0.14-0.57)

0.001

0.69(0.3,1.5)

0.37

Maternal weight (kg)

<50

 

≥50

9(11.7)

 

117(36.8)

68(88.3)

 

201(63.2)

4.3(2.1,9.1)

 

1

 

 

0.001

 

 

3.2(1.5,6.9)

 

1

0.02

Abbreviations; COR crude odds ratio, AOR   adjusted odds ratio ,ETB Ethiopian birr, 

Notes; *Significant at p-value <0.05, **Significant at p-value <0.01 and ***Significant at p-value <0.001


The relationship between exposure to caffeine intake and LBW was evaluated after adjusting for residence, maternal education, maternal occupational status, family monthly income, maternal body weight, antenatal care, and birth interval.

Therefore, the multivariable logistic regression model indicated that those mothers who consumed high caffeine during pregnancy were four times more likely to have a newborn with low birth weight (AOR= 4.1( 95% CI  1.2, 10.1)(table3).

Table 3, Bivariate and multivariate logistic regression analysis of factors associated LBW among term newborn in Wolaita zone hospitals, south Ethiopia, July 2019(n=395)

Factors 

 

                 Birth weight N (%)

COR(95%CI)

AOR(95%CI)

Low N (%)       

Normal N (%)

Maternal education

No formal education

65(65.7)

81(27.4)

7.9(3.7-16.9)

NS

 

Primary school

Secondary and above 

 

25(25.2)

9(9.1)

124(41.9)

91(30.9)

1.9(0.8-4.4

1

 

 

Maternal occupational status

Non –working 

Working

75(75.8)

 

24(24.3)

221(74.7)

 

73(25.2)

4.9(2.7-8.7)

 

1

NS

Family monthly income

<800 ETB* ($26)

29(29.3)

34(11.5)

3.6(2.5-7.8)

 

2.5(0.9-8.6) 

 

800-1500 ($26-46.8 )

30(30.3)

79(26.7)

3.4(1.6-7.5)

2.2 (0.68-7.1)

 

1501-3000($47-93)

37(37.4)

88(29.7)

3.3(1.5-7.2)

1.2(0.62-5.9)

 

>3000($93)

3(3.0)

95(32.1)

1

  

 

Birth interval                      

< 2 years                                  

≥ 2 years               

43(69.4)

19(30.6)

58(26.9)

 158(73.1)

1.5(1.3-3.5)

1

1.06 (0.85-11.6) 

Coffee consumption(mg)

<=300                                                         >300                                            

12(12.1) 

87(87.9)

110(37.2) 

186(62.8)

1

4.2(2.2-8.1)

1

4.1(1.2-10.1) ***

Maternal weight (kg)

≤50                                                       >50

66(89.6) 

33(10.4)

11(3.7)

285(96.3)

8.3(5.8-16.4)

1

7.2 (4.4-21.3) *

 

Abbreviations  AOR  adjusted odds ratio , COR crude odds ratio, ETB Ethiopian birr ,kg kilogram ,mg milligram,  NS not significant

Notes *Significant at p-value <0.05, **Significant at p-value <0.01 and ***Significant at p-value <0.001


 

 

Discussion

The main objective of this study was to evaluate the level of maternal coffee intake during pregnancy and its effect on birth weight. In the present study most of our study participants drank coffee during current pregnancy. In our study, nearly three –fourth (68%) of mothers were high caffeine consumers (had a daily caffeine consumption of more than or equal to 300 mg/day). We observed a higher proportion of heavy caffeine consumption among the investigated population as compared to similar studies in southern Ethiopia (17%) [20] and elsewhere (27.3%) [16].The possible clarification could be our study setting, Wolaita area is one of coffee- producing area in the country. This study revealed that relatively more mothers of low birth weight infants were consumed high caffeine compared with controls. This result is supported by other similar studies in which more mothers of low birth weight babies consumed high caffeine than mothers with normal birth weight babies [16].

While some studies have found that high caffeine intake during pregnancy increases the risk of LBW [6,7,9] other studies did not find a significant association [10,19,26]. This discrepancy might be due to differences in study populations, sample size, study design, and handling of potentially confounding variables. In our study, we found those mothers who consumed high caffeine, that of more than or equal to 300 mg daily, were four times more likely to have a newborn with low birth weight.

 This result is supported by results from a hospital-based case-control study in northern California, which showed that, after adjusting for other known risk factors of low birth weight, heavy maternal caffeine consumption, that of 300 mg or more daily, the risk of low birth weight by a factor of three [16]. It has also been demonstrated through meta-analyses and systematic review that higher maternal caffeine intake during pregnancy increases the risk for both low birth weight infants [27,28,29].

Some limitations that might have affected the findings of the present study should be noted. The first of these limitations is that; we collected data on maternal caffeine intake on the day of the delivery; this may result in recall biases. Nonetheless, drinking coffee is a common component of many individuals eating habits and it should not be difficult to recall the frequency of their consumption. Additionally, The questionnaires employed did not have information about other sources of caffeine, such as  Tea and soft drinks, studies have previously reported that coffee is The major sources of caffeine also is the sources of over 90% of the caffeine in the diets of pregnant women in the study area. Also, caffeine intake might have been different throughout the pregnancy, although different studies showed that a lack of significant difference between caffeine intake and trimesters of pregnancy However, furthermore detail study verifying trimester of gestation and caffeine intake is recommended.

Conclusions

This study estimated the level of maternal coffee intake during pregnancy and its effect on birth weight. In this study, we found a high prevalence of maternal higher caffeine intake during pregnancy. The results of the present study indicate that higher maternal caffeine intake during pregnancy is associated with a higher risk of delivering low birth weight infants. Mothers with no formal education, non-working, residing in a rural area, and mothers who weighed less than50kg were more likely to consume higher caffeine.

Health service providers should be aware of the impact of heavy caffeine consumption on birth outcome and try to screen and consulate pregnant mothers who are at risk of having infants with LBW and provide skilled nutritional counseling during ANC visits, including the intake of caffeine.

Abbreviations

ANC: Antenatal care; AOR: Adjusted odds ratio ;CI: Confidence interval; DHS: Demography and Health Survey;FMOH: Federal Ministry of Health;  kg: kilogram;  LBW: Low birth weight;NBW: Normal birth weight; OR: Odds ratio; USD: United States Dollar; WHO: World Health Organization.

Declarations

Ethics approval and consent to participate

We obtained ethical clearance and support letter for the study from the ethical review committee at the College of Health Sciences and Medicine Wolaita Sodo University in Ethiopia. The support letter submitted to Wolaita Zone Health Bureau which is a higher government body responsible for health and health research. Then, the Wolaita Zone Health Bureau communicated with the respective selected hospital, Permission letters were secured from the Wolaita Zone Health Bureau and each hospital. This study was conducted in accordance
with the Helsinki Declaration and after informing the purpose and procedures of the study, written informed consent was obtained from each mother prior to the interview. For participants who were under 18 written consent was obtained from the parents and assent from mothers before the data was collected.The data collectors explained to the study participants that they have the right to refuse an interview at any time if they were not happy to continue in addition, the benefit of participation in the study and confidentiality of the information collected

Competing of interest   

The authors declare that they have no conflicts of interest in this work.

Consent for publication

Not applicable

Availability of data

The data sets used during the current study are available from the corresponding author on reasonable request.

Funding

Not applicable

Author contributions  

LH; designed the protocol, coordinated data collection, made analysis and interpreted findings, and drafted the manuscript.

BKD; contributed in design, analysis, interpretation of the findings, and drafting the manuscript

All the authors read gave final approval of the version to be published, and agree to be accountable for all aspects of the work.

Acknowledgments  ;

We would like to acknowledge Wolaita Soddo University Teaching and Referral Hospital, Dubo and Bonbe primary hospital for their cooperation.  We want also to thank the study participants, data collectors and supervisors.

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