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. 2021 Apr 12;9:303. Originally published 2020 Apr 28. [Version 3] doi: 10.12688/f1000research.23246.3

The association of socio-demographic and environmental factors on childhood diarrhea in Cambodia

Vong Pisey 1,2, Pannee Banchonhattakit 3,a, Wongsa Laohasiriwong 3
PMCID: PMC8499042  PMID: 34671457

Version Changes

Revised. Amendments from Version 2

We have updated the authorship of article by adding Wonga Laohasiriwong as last author

Abstract

Background: Diarrhea is still the leading cause of childhood death worldwide, as well as a major cause for concern in developing countries. This study was conducted to investigate the factors related to childhood diarrhea in Cambodia.

Methods: A cross-sectional study of the secondary data from the Cambodia Demographic and Health Survey 2014 was conducted using the combination of household data and children’s data. A generalized linear mixed model was used to analyze the determinant factors of childhood diarrhea.

Results: The surveys included 2,828 children, aged 12 to 35 months. The prevalence of diarrhea in the last 2 weeks was 16.44% (95% CI: 14.72%-18.31%). Factors with statistically significant associations with childhood diarrhea in Cambodia were: maternal  unemployment, compared with being in employment (AOR = 1.43; 95% CI: 1.14-1.78); the child being male (AOR = 1.25; 95%CI: 1.02-1.53); the presence of unimproved toilet facilities (AOR = 1.17; 95%CI: 1.05-1.31) compared with improved toilet facilities; and unhygienic disposal of children’s stools (AOR = 1.32; 95%CI: 1.06-1.64) compared with hygienic disposal of children’s stools when controlling for other covariates. Both maternal age (one year older; AOR = 0.85; 95%CI: 0.78– 0.93) and child age (one month older; AOR = 0.86; 95%CI: 0.78-0.94) had significant negative associations with the occurrence of childhood diarrhea.

Conclusion: Childhood diarrhea remains a public health concern in Cambodia. The probability of diarrhea occurring is shown to be increased by maternal unemployment, the sex of the child being male, lack of provision of improved toilet facilities, and the unhygienic disposal of children’s stools; whereas increasing maternal age and child’s age were associated with a reduced chance of diarrhea occurring. On the basis of these results, we recommend provision of programs focusing on reducing diarrhea through the construction of improved toilet facilities and the promotion of behavior to improve hygiene, specifically targeting younger mothers.

Keywords: Socio-demographic, environmental, childhood diarrhea, generalized linear mixed model, Cambodia

Introduction

Diarrhea is defined as the passage of loose or watery stools, three or more times each day, or more frequent passage than is normal for an individual 1 . Diarrhea remains a leading cause of child mortality and morbidity in the world, with an estimated 1.7 billion cases of childhood diarrhea and 525,000 deaths of children under five caused by diarrhea each year 1, 2 . Diarrhea is the second leading cause of death in children under the age of five years 1, 2 . Globally, 88% of diarrhea cases are attributable to poor water, poor sanitation or poor hygiene 3 . There is not just the one single factor associated with childhood diarrhea but multiple factors, including unimproved drinking water sources 47 , untreated water 810 , unimproved toilet facilities 6, 8, 9, 11 , unhygienic disposal of children’s stools 1214 , lack of hand washing facilities 15, 16 , type and location of residence 11, 16 , the child’s age 4, 13, 16 , the child’s sex (male) 13 , maternal illiteracy 12, 13, 17 , the mother’s occupation 9, 12 , maternal age 14, 18 , wealth index 4, 19 , and whether or not the child is breastfed 10, 15 .

In 2014, Cambodia still had one of the highest prevalence levels of diarrhea among children under the age of five amongst countries in South-East Asia, at 12.8% 20 . By comparison, Myanmar had a prevalence of 10.4% in 2015–16 21 , Malaysia 4.4% in 2016 7 , Laos 6.5% in 2017 22 , Philippines 6.1% in 2017 23 , and Indonesia 14.1% in 2017 24 . According to 2016 data from UNICEF, Cambodia had 5,947 total neonatal deaths, of which 20 were due to diarrhea; 5,248 post-neonatal deaths, of which 672 were due to diarrhea (13%); and 692 deaths of children under five due to diarrhea (6%) 25 . High rates of diarrhea alone account for one fifth of the deaths of children under the age of five in Cambodia, and an estimated 10,000 deaths overall each year 26 . This demonstrates that diarrhea is the most common cause of death in Cambodian children. According to the Cambodia Demographic and Health Survey (CDHS) 2014, the prevalence of diarrhea among children aged 12 to 35 months was high, which is known to affect for child development and growth 20 .

It is of great importance to understand the factors related to the prevalence of diarrhea among children aged 12 to 35 months. There are no existing studies on the association in this age group, and no national studies on the associated factors with childhood diarrhea in Cambodia have yet been published.

Methods

Ethical statement

This research project received approval from the Khon Kean University Ethics Committee in Human Research (HE632097). This study uses existing CDHS data and re-analysis was done under the original consent provided by the participants.

CDHS 2014

The CDHS 2014 collected data nationally across the country, which is subdivided into 19 province domains. Its sampling frame consisted of 28,455 eligible enumeration areas (EAs), which comprised the 2008 Cambodian General Population Census (GPC). The sample was allocated into urban and rural in each domain with a power allocation preventing oversample urban, and can represent Cambodia is mainly rural. The stratified sample was selected in two stages. In the first stage, a fixed number of EAs were chosen using probabilities weighted proportional to the size of the EA. In the second stage, 24 and 28 households were picked up from every urban cluster and rural cluster, respectively, through a systematic sampling process with equal probability weighting. 15,825 households, 17,578 women, and 5,190 men were interviewed between the 2 nd June and the 12 th December 2014; further details can be found in the CDHS 2014 report 20 . The final sample size comprised 2,828 children aged 12 to 35 months, providing a suitable degree of power (0.9627, 0.9682).

Data use

Two raw CDHS 2014 datasets, comprising household data and children’s data were combined for use in this study. All entries and variables in these datasets were included in this study.

Dependent variable

The prevalence of diarrhea is the dependent variable considered in this study. This is referred to the questionnaire thus: “Has (NAME) had diarrhea in the last 2 weeks?” The dichotomous variable childhood diarrhea can take values “1” representing a response of “yes” or “0” representing “no” and “don’t know” responses.

Independent variables

Socio-demographic characteristics take the form of continuous variables such as maternal age, child’s age, and number of household members and categorical variables such as maternal education (no education/primary/secondary/higher), maternal occupation (employed/unemployed), mother’s knowledge of oral rehydration salts (ORS) (good/poor) 27 , exposure to media (yes/no) 28 , sex of the child, breastfeeding (ever/never), deworming (yes/no) 27 , vaccination (ever/never), residence (urban/rural) and wealth index (poorest/poorer/middle/richer/richest) 27 . CDHS data were organized in 19 province domains, which we regrouped into four regions: Central Plain; Tonle Sap; Coastal and Sea; and Plateau and Mountains 29 . Environmental characteristics were also treated as categorical variables, including drinking water source (improved/unimproved) 30 , whether or not the same source of drinking water was used during wet and dry seasons (same/different), whether or not water was treated before drinking (always/no), type of toilet facility (improved/unimproved) 30 , hygiene (adequate/inadequate) 30 , and disposal of children’s stools (sanitary/unsanitary) 31 . World Health Organization (WHO) guidelines on water, sanitation and hygiene (WASH) were used to classify WASH as either improved or unimproved, and sanitary or unsanitary according to the WHO/UNICEF Joint Monitoring Programme ( Table 1 and Table 2) 30, 31

Table 1. Joint Monitoring Programme classification of improved and unimproved water, sanitation and hygiene (WASH) 30 .

Service Improved Unimproved
Drinking
water
Piped water, boreholes or tube wells, protected dug wells,
protected springs, rainwater, and packaged or delivered water,
and provided collection time is not more than 30 minutes for a
round trip, including queuing
Unprotected dug well, unprotected spring, surface
water (river, reservoirs, lakes, ponds, streams, canals,
and irrigation channels).
Sanitation Flush and pour flush connected to piped sewer, septic tanks
or pit latrines; ventilated improved pit (VIP) latrine, composting
toilets or pit latrines with slabs, and that are not shared with other
households
Flush and pour flush not to sewer/septic tank/pit
latrine, pit latrine without slab/open pit, bucket,
hanging toilet/hanging latrine, no facility/bush/field
Hygiene Availability of a handwashing facility on premises with soap and
water
No handwashing facility on premises

Table 2. Joint Monitoring Programme classification of sanitary and unsanitary disposal of children stool 31 .

Sanitary Unsanitary
Child used toilet or latrine
Put or rinsed in the toilet or latrine
Buried
Put or rinsed into drain or ditch
Throw into the garbage
Left in the open or not disposed of
Other

Statistical analysis

Statistical data analyses were performed using STATA/SE 14.0 32 as follows.

Categorical variables were analyzed to provide frequency and percentage. Continuous variables were calculated as means, standard deviations, and ranges. A weighting variable was used in the form of the woman’s individual sample weighting. Cross-tabulations were run with the appropriate sample weights to provide nationally representative results 19 . The svyset command was used to test for complex survey sampling methods used in the original surveys, in order to adjust for differences in the probabilities of sample selection and to avoid using over-sampled strata within the survey data 27 .

The prevalence of diarrhea was estimated as a percentage. The numerator was the number of living children aged 12 to 35 months with an occurrence of diarrhea during the two weeks preceding the interview (i.e. an answer “yes” to, “Has (NAME) had diarrhea in the last 2 weeks?”) and the denominator was the number of living children aged 12 to 35 months.

A bivariate analysis with simple logistic regression was performed using the svyset ( svy command). A linearity test was conducted between the continuous variable and dependent variable. Any independent variables significant at p<0.25 were entered into the initial model 33, 34 . Multicollinearity assessment was performed with the independent variables-variance inflation factor (VIF) 35 . Finally, a multivariate analysis was performed using a generalized mixed linear model with four regions picked as ‘random effects’ corresponding to the various clusters in the sampling design 36 . The backward stepwise procedure was applied as the model fitting strategy. Statistical significance was considered at a threshold of p<0.05 and the adjusted odds ratio (AOR) with 95% confidence intervals (CI) was considered as the magnitude of the effect.

Results

A total of 2,828 children were included in the study. The majority of the children (84.12%) lived in rural areas. Nearly half (44.03%) lived in Central Plain and one third (33.32%) lived in Tonle Sap. The mean of maternal age was 28.27±5.89 years old. More than half the mothers (51.08%) attended primary school. Three quarters (75.10%) of the mothers were employed and the average number of household members was five. More than half (51.18%) of the children were male and the mean age was 23.33±6.79 months. Almost all (96.17%) children had been breastfed; 59.60% had received deworming treatment. Out of 2,828 households, more than half (54.07%) always had treated water to drink; 57.97% had an unimproved toilet facility; while 68.01% used adequate hygiene; and 70.25% used sanitary disposal of children’s stool ( Table 3).

Table 3. Socio-demographic and environmental characteristics of households in Cambodia, 2014 (n=2,828).

Variables Frequency Percentage
Maternal characteristics
Age (years)
  16–24 397 14.04
  25–34 1591 56.26
  35–49 840 29.70
  Mean±SD 28.27±5.89
  Range 16 to 49
Education
  No education 366 12.96
  Primary 1445 51.08
  Secondary 921 32.58
  Higher 96 3.38
Occupation
  Employed 2124 75.10
  Unemployed 704 24.90
Knowledge of oral rehydration
salts
  Good 2717 96.05
  Poor 111 3.95
Exposure to media
  Yes 1808 63.92
  No 1020 36.08
Children’s characteristics
Age (months)
  12–23 1460 51.64
  24–35 1368 48.36
  Mean±SD 23.33±6.79
  Range 12 to 35
Sex
  Male 1448 51.18
  Female 1381 48.82
Breastfeeding status
  Ever 2720 96.17
  Never 108 3.83
Deworming
  Yes 1686 59.60
  No 1142 40.40
Household characteristics
Residence
  Urban 449 15.88
  Rural 2379 84.12
Region
  Coastal and Sea 169 5.98
  Tonle Sap 942 33.32
  Central Plain 1245 44.03
  Plateau and Mountains 472 16.67
Number of household members
  1–4 969 34.28
  >4 1859 65.72
  Mean±SD 5.73±2.31
  Range 1 to 22
Wealth index
  Poorest 672 23.76
  Poorer 523 18.49
  Middle 550 19.44
  Richer 493 17.45
  Richest 590 20.86
Environmental characteristics
Drinking water during dry
season
  Improved 1745 61.71
  Unimproved 1083 38.29
Drinking water during wet
season
  Improved 2320 82.02
  Unimproved 508 17.98
Same source of drinking water
during wet and dry season
  Same 1955 69.11
  Different 873 30.89
Treating water to drink
  Yes, always 1529 54.07
  No 1299 45.93
Toilet facility
  Improved 1189 42.03
  Unimproved 1640 57.97
Hygiene
  Adequate 1923 68.01
  Inadequate 905 31.99
Disposal of children’s stool
  Sanitary 1987 70.25
  Unsanitary 841 29.75

SD, standard deviation.

Bivariate analysis of factors associated with childhood diarrhea in Cambodia

Factors with a significant association with childhood diarrhea (p<0.05) were maternal age, maternal occupation, the child’s age, available toilet facilities, and the method of stool disposal ( Table 4). Further, the factors of the child’s sex, the number of household members, wealth index, source of drinking water during dry season, whether or not the same source of drinking water is used during wet and dry seasons, and the treatment/non-treatment of drinking water did not reach significance but did meet the pre-determined threshold of p<0.25 for inclusion in the initial model. Finally, region (p<0.25) also met the criteria for inclusion in the initial model and was used as a random effect. As such, the multivariate analysis was conducted using a generalized mixed linear model with each of the four regions of Cambodia treated as random effects.

Table 4. Bivariate analysis of factors associated with childhood diarrhea in Cambodia, 2014 (n=2,828).

Variables Number Diarrhea
%
COR 95% CI p-value
Overall 2828 16.44 14.72-18.31
Maternal age (years) 2828 N/A 0.82 0.73-0.92 <0.001
Maternal education 0.681
  Literate 2462 16.29 1
  Illiterate 366 17.46 1.09 0.73-1.62
Maternal occupation 0.007
  Employed 2124 15.00 1
  Unemployed 704 20.78 1.49 1.11-1.98
Mother’s knowledge of oral
rehydration salts
0.481
  Good 2717 16.61 1
  Poor 111 12.21 0.69 0.25-1.90
Mother’s exposure to media 0.502
  Yes 1808 15.99 1
  No 1020 17.23 1.09 0.84-1.42
Child’s age (months) 2828 N/A 0.83 0.75-0.92 <0.001
Child’s sex 0.075
  Female 1381 14.86 1
  Male 1448 17.94 1.25 0.97-1.61
Breastfeeding status 0.268
  Ever 2720 16.64 1
  Never 108 11.42 0.64 0.29-1.40
Deworming 0.504
  Yes 1686 16.91 1
  No 1142 15.75 0.91 0.71-1.17
Residence 0.561
  Urban 449 15.39 1
  Rural 2379 16.64 1.10 0.80-1.50
Region 0.203
  Coastal and Sea 169 12.36 1
  Tonle Sap 942 15.55 1.31 0.82-2.07
  Central Plain 1245 16.92 1.44 0.92-2.25
  Plateau and Mountains 472 18.40 1.60 1.02-2.51
Number of household
members
0.095
  >4 1859 15.38 1
  1–4 969 18.47 1.25 0.96- 1.62
Wealth index 0.128
  Richest 590 14.44 1
  Richer 493 17.40 1.25 0.82-1.90
  Middle 550 14.65 1.02 0.67-1.55
  Poorer 523 14.50 1.00 0.67-1.50
  Poorest 672 20.46 1.52 1.03-2.26
Drinking water during dry
season
0.065
  Improved 1745 15.12 1
  Unimproved 1083 18.56 1.28 0.98-1.66
Drinking water during wet
season
0.676
  Improved 2320 16.27 1
  Unimproved 508 17.22 1.07 0.78-1.48
Same source of drinking water
during wet and dry season
0.161
  Same 1955 15.56 1
  Different 873 18.40 1.22 0.92-1.62
Treating water to drink 0.139
  Yes, always 1529 15.28 1
  No 1299 17.81 1.20 0.94-1.53
Toilet facility 0.013
  Improved 1189 13.61 1
  Unimproved 1640 18.49 1.20 1.04-1.39
Hygiene 0.995
  Adequate 1923 16.44 1
  Inadequate 905 16.43 0.99 0.74-1.34
Disposal of children’s stool 0.020
  Sanitary 1987 14.99 1
  Unsanitary 841 19.85 1.40 1.05-1.87

COR, crude odds ratio; CI, confidence interval.

Multivariate analysis of factors associated with childhood diarrhea in Cambodia

The multivariate analysis ( Table 5) showed that as maternal age increased by a year, the odds of the child suffering from diarrhea decreased 15% (AOR = 0.85; 95%CI: 0.78– 0.93; p=0.001). The odds of suffering from diarrhea was 43% higher (AOR = 1.43; 95% CI: 1.14-1.78; p=0.002) in children whose mother was unemployed compared to employed. As the child’s age increased by a month, the odds of the child suffering from diarrhea decreased 14% (AOR = 0.86; 95%CI: 0.78-0.94; p=0.001). The odds of suffering from diarrhea was 25% higher (AOR = 1.25; 95%CI: 1.02-1.53; p=0.031) in males compared to females. The odds of suffering from diarrhea was 17% higher (AOR = 1.17; 95%CI: 1.05-1.31; p=0.004) in children living in a household with unimproved toilet facilities compared with those with improved toilet facilities. The odds of suffering from diarrhea was 32% higher (AOR = 1.32; 95%CI: 1.06-1.64; p=0.011) in children whose stools were disposed of unhygienically compared to children whose stools were disposed of hygienically.

Table 5. Multivariate analysis of factors associated with childhood diarrhea in Cambodia, 2014 using generalized mixed linear model (n=2,828).

Variables Number Diarrhea
%
AOR 95% CI p-value
Maternal age (years) 2828 N/A 0.85 0.78-0.93 0.001
Maternal occupation 0.002
   Employed 2124 15.00 1
   Unemployed 704 20.78 1.43 1.14-1.78
Child’s age (months) 2828 N/A 0.86 0.78-0.94 0.001
Child’s sex 0.031
   Female 1381 14.86 1
   Male 1448 17.94 1.25 1.02-1.53
Toilet facility 0.004
   Improved 1189 13.61 1
   Unimproved 1640 18.49 1.17 1.05-1.31
Disposal of children’s stool 0.011
   Sanitary 1987 14.99 1
   Unsanitary 841 19.85 1.32 1.06-1.64

AOR, adjusted odds ratio; CI, confidence interval.

Discussion

This is the first study to report factors associated with diarrhea in children aged 12 to 35 months at the national level in Cambodia. Younger maternal age, maternal unemployment, younger child age, being male, lack of unimprovement to toilet facilities, and unhygienic disposal of children’s stools were found to be associated with childhood diarrhea.

Socio-demographic characteristics such as maternal age were significantly associated with reduced incidence of diarrhea, in line with studies conducted in Brazil and Tanzania 14, 18 , and perhaps due to the mother having more experience in childcare and feeding. The association of maternal unemployment with the incidence of diarrhea is consistent with a study in Senegal 9 . The child’s age had a significant, negative association with incidence of diarrhea, in line with many studies in Ethiopia and Tanzania 4, 14, 16 , and potentially due to the development of the immune system throughout childhood. Males were more likely to suffer from diarrhea than females, which may simply reflect a natural predisposition of males to develop diarrhea more frequently than females 37 , but is also supported by a previous study conducted in India 13 .

Environmental characteristics such as the lack of improvements to toilet facilities were significantly associated with the incidence of diarrhea, consistent with many studies including a systematic review 4, 6, 8, 11 . Finally, disposal of children’s stools was significantly associated with the incidence of diarrhea, consistent with previous studies in Ethiopia, India, and Tanzania 1214 . These findings demonstrate that the quality of sanitation facilities strongly influences the prevalence of childhood diarrhea in Cambodia.

A limitation of this research study was that it used a cross-sectional design with just one outcome measure (diarrhea prevalence) taken as a snapshot at a given point in time. Future longitudinal studies may improve on this. The CDHS 2014 was not fully comprehensive in that it did not cover the WASH factors of hand washing before preparing meals and after defecating. The inclusion of these questions in the survey would give a more comprehensive analysis of hygiene practices in the population. Moreover, self-reporting measures and recall bias could happened and considered in the study. Further, the CDHS 2014 captured data by household, rather than by individual person, which may introduce a confound in that it has a tendency to under-estimate the quality of both drinking water source and sanitation facility available.

Conclusion

Diarrhea still remains a public health concern among children in Cambodia. The probability of developing diarrhea is strongly associated with maternal unemployment, being male, not having access to improved toilet facilities, or practicing hygienic disposal of children’s stools. Conversely, increasing maternal and child age is associated with a reduction in the probability of developing diarrhea.

Recommendations

”Based on this finding, the authors provide the following recommendations.

National: The WASH program should focus on younger mothers, mothers of younger children and unemployed mothers. Guidance should include sanitary methods of stool disposal, water treatment, sanitation, and health. Intervention programs should focus on the construction of improved toilet facilities and promoting hygienic behaviors.

Local: Younger mothers should be encouraged to enroll in health education. Additional community sanitation facilities should be constructed and existing facilities should be improved/maintained.

Future study: Longitudinal studies are needed to measure the impact of these interventions.

Data availability

Our study used raw children’s and household data from DHS, Cambodia 2014. Data are free to access for research purposes and can be obtained through the DHS Program after registering and obtaining an approval letter from the Inner City Fund (ICF) ( https://dhsprogram.com/data/Access-Instructions.cfm).

Acknowledgements

The authors would like to express sincere thanks and appreciation to:

Dr. Kavin Thinkhamrop, Health and Epidemiology Geoinformatics Research (HEGER), Faculty of Public Health, Khon Kaen University; Dr. Wilaiphorn Thinkhamrop, Data Management and Statistical Analysis Center (DAMASAC), Faculty of Public Health, Khon Kaen University for their statistical support; and Rebecca S Dewey, University of Nottingham for language editing.

Funding Statement

The author(s) declared that no grants were involved in supporting this work.

[version 3; peer review: 1 approved with reservations]

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F1000Res. 2020 Jun 15. doi: 10.5256/f1000research.25665.r64014

Reviewer response for version 1

Siyan Yi 1,2,3

General comments: This study used data from Cambodia Demographic and Health Surveys to identify risk factors associated with diarrhea in children aged 12 to 35 months. Overall, the study findings are interesting and may contribute to the literature in this area given the scarcity of data in low- and middle-income countries. The analyses appeared appropriate. The quality of the writing is acceptable, although more careful proofreading is required before the paper can be published.

Here are my specific comments:

Title:

  1. The term 'influence' may not be appropriate for this study as it can only tell the associations of variables, not causal relationships.

Abstract:

  1. Methods: The first sentence "A cross-sectional study was conducted using the combination of two datasets from the Cambodia Demographic and Health Survey 2014" is hard to understand. The authors may want to make it clear that this study used secondary data from CDHS. What are the two data sets?

  2. What was the time frame for the prevalence of diarrhea - past month or lifetime?

Introduction:

  1. Please provide a reference for the statement in the second sentence, paragraph 1.

  2. Avoid starting sentences with numbers.

  3. It would be helpful for readers if authors could define some terminology; e.g., neonatal deaths, post-neonatal deaths, under-five deaths, etc.

  4. Paragraph 2:

    - "...and 692 deaths of children under five due to diarrhea (6%)." What is the denominator of the 6%? In the following sentence, the authors stated that 'diarrhea alone account for one fifth of the deaths of children under the age of five in Cambodia." Please clarify these.

    - "High rates of diarrhea alone account for...' Diarrhea alone?

    - It is confusing that this study used data from CDHS 2014, but also cited the prevalence of diarrhea in the same population and from the same data, while claiming that no national studies on childhood diarrhea in Cambodia have yet been published. - The rationale of the study needs improvement.

Methods:

  1. What 'province domains' mean?

  2. What does this mean: '...,which comprised the 2008 Cambodian General Population Census (GPC)?'

  3. 'The sample considered any domain...' is not understandable.

  4. Although the CDHS 2014 was referred to, some variables require a clear definition; e.g., improved/unimproved water sources, toilet facilities, adequate/inadequate hygiene, sanitary/unsanitary disposal of children's stools, etc.

  5. Data analyses:

    - It is not accurate to state this "Continuous data were treated as means, standard deviations, and ranges for analysis." Perhaps something like 'For continuous variables, mean and standard deviations were calculated..."

    - I am not sure what authors wanted to tell by this "A weighting variable was used in the form of the woman’s individual sample weighting."

    - Any independent variables significant at p<0.25 in bivariate analyses were entered into the initial model.

    -Multicolinearity assessment was performed...

Results:

  1. ...and one third (33.32%) in Tonle Sap region?

  2. It should be mean (SD xx).

  3. "More than half the mothers (51.08%) attended primary school." Did this include mothers who had no education?

  4. Any details to define the breastfeeding - duration, exclusivity...?

  5. Please check this data: "...and 77.97% of them had never been vaccinated." This could be very wrong as the immunization coverage in Cambodia has been globally recognized as very high.

Discussion:

  1. This section can be improved by extending more in-depth literature in this area and link to the policy implication of the findings.

  2. Further limitations of the study should also be included (e.g., self-reporting measures, recall bias...).

  3. Conclusions and recommendations can be combined.

  4. Recommendations can be summarized.

Is the work clearly and accurately presented and does it cite the current literature?

Partly

If applicable, is the statistical analysis and its interpretation appropriate?

Yes

Are all the source data underlying the results available to ensure full reproducibility?

Yes

Is the study design appropriate and is the work technically sound?

Yes

Are the conclusions drawn adequately supported by the results?

Yes

Are sufficient details of methods and analysis provided to allow replication by others?

Partly

Reviewer Expertise:

Epidemiology, community-based intervention and evaluation, infectious diseases

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.

F1000Res. 2020 Jun 29.
PISEY VONG 1

Review1

Title:

The term 'influence' may not be appropriate for this study as it can only tell the associations of variables, not causal relationships.

A: Agree with the reviewer. As suggested, we have revised the term to “The association”. See title, para 1 on page 1

Abstract:

1. Methods: The first sentence "A cross-sectional study was conducted using the combination of two datasets from the Cambodia Demographic and Health Survey 2014" is hard to understand. The authors may want to make it clear that this study used secondary data from CDHS. What are the two data sets?

A: Taken care. "A cross-sectional study of the secondary data from the Cambodia Demographic and Health Survey (CDHS) 2014 was conducted using the combination of household data and children’s data. See Abstract, 1 st sentence, para 2 on page 1

2. What was the time frame for the prevalence of diarrhea - past month or lifetime?

A: Taken care. The authors added the text “in the last 2 weeks”. See Abstract, 2 nd sentence, para 3 on page 1

Introduction:

1. Please provide a reference for the statement in the second sentence, paragraph

A: Taken care. “1,2”. See 2 nd sentence, para 1 on page 3.

2. Avoid starting sentences with numbers.

 A: Taken care. Globally, 88% of diarrhea cases are attributable…… See 4 th sentence, para 1 on page 3.

3. It would be helpful for readers if authors could define some terminology; e.g., neonatal deaths, post-neonatal deaths, under-five deaths, etc.

A: We are sorry, we do not agree with the peer reviewer on this. Authors have retained our original because we think it is not much helpful to add terminology of neonatal deaths, post-neonatal deaths, under-five deaths.

4. Paragraph 2:

- "...and 692 deaths of children under five due to diarrhea (6%)." What is the denominator of the 6%? In the following sentence, the authors stated that 'diarrhea alone account for one fifth of the deaths of children under the age of five in Cambodia." Please clarify these.

- "High rates of diarrhea alone account for...’Diarrhea alone?

- It is confusing that this study used data from CDHS 2014, but also cited the prevalence of diarrhea in the same population and from the same data, while claiming that no national studies on childhood diarrhea in Cambodia have yet been published. - The rationale of the study needs improvement.

A: The denominator of the 6% is the “number of under five children”, however in the data from UNICEF, they do not put it. They just put only “under five deaths due to diarrhea: 692”; and “% underfive deaths due to diarrhoea: (6%)”. According to calculation by the authors, denominator of (6%) is about 11,533.

A: Please, see the reference on number 26 which mentioned as “High incidences of diarrhoeal diseases alone account for one fifth of the deaths of children age five and under in Cambodia, and an estimated 10,000 overall deaths annually, largely owing to lack of sanitation and poor hygiene practices”.

A: Agree with the reviewer. As suggested, we have revised the text to “There are no existing studies on the association in this age group, and no national studies on the associated factors with childhood diarrhea in Cambodia have yet been published”. See 2 nd sentence, para 3 on page 3.

Methods:

1.What 'province domains' mean?

A. Province domains means the 19 sampling domains of provinces. There are 24 provinces in Cambodia in CDHS 2014, of which fourteen individual provinces (Banteay Meanchey, Kampong Cham, Kampong Chhnang, Kampong Speu, Kampong Thom, Kandal, Kratie, Phnom Penh, Prey Veng, Pursat, Siem Reap, Svay Rieng, Takeo, and Otdar Meanchey); and five groups of provinces (Battambang and Pailin, Kampot and Kep, Preah Sihanouk and Koh Kong, Preah Vihear and Stung Treng, and Mondul Kiri and Ratanak Kiri)

2. What does this mean: '..., which comprised the 2008 Cambodian General Population Census (GPC)?'

A. It means “which used the 2008 Cambodian General Population Census”

 That has been mentioned in CDHS 2014 as “The sampling frame used for the 2014 CDHS was derived from the list of all enumeration areas (EAs) created for the 2008 Cambodia General Population Census (GPC), provided by NIS

3. The sample considered any domain...' is not understandable.

A: Taken care. We have revised the text to “The sample was allocated into urban and rural in each domain with a power allocation preventing oversample urban, and can represent Cambodia is mainly rural. See 3 rd sentence, para 3 on page 3.

4. Although the CDHS 2014 was referred to, some variables require a clear definition; e.g., improved/unimproved water sources, toilet facilities, adequate/inadequate hygiene, sanitary/unsanitary disposal of children's stools, etc.

A: Agree with the reviewer. As suggested, we have added the text “World Health Organization (WHO) guidelines on water, sanitation and hygiene (WASH) were used to classify WASH as either improved or unimproved according to the WHO/UNICEF Joint Monitoring Programme (Table1 and Table 2). See 3 rd sentence, para 2 on page 4; and we also added the Table 1 and Table 2. See on page 11 and 12.

5. Data analyses:

- It is not accurate to state this "Continuous data were treated as means, standard deviations, and ranges for analysis." Perhaps something like 'For continuous variables, mean and standard deviations were calculated..."

- I am not sure what authors wanted to tell by this "A weighting variable was used in the form of the woman’s individual sample weighting."

- Any independent variables significant at p<0.25 in bivariate analyses were entered into the initial model.

-Multicolinearity assessment was performed...

A: Agree with the reviewer. As suggested, we have revised the text “Categorical variable were analyzed to provide frequency and percentage. Continuous variable were calculated as means, standard deviations, and ranges”. See 1 st sentence, para 3 on page 4.

A: Because it is survey data, by providing national representative, we used Woman’s individual weighting because child data was accessed by asking for their mother.

A: Yes, please see in the “Result” on 2 nd sentence, para 2 on page 6.

A: Taken care “Multicolinearity assessment was performed...”

Results:

...and one third (33.32%) in Tonle Sap region?

A. Taken care. We have revised by adding “lived”. See on 2nd sentence, para 1 page 5

2. It should be mean (SD xx).

A. Taken care.

3."More than half the mothers (51.08%) attended primary school." Did this include mothers who had no education?

A: No, It did not include mothers who had no education

4. Any details to define the breastfeeding - duration, exclusivity...?

A: No, in the data showing only “ever breastfed (not currently breastfeed, never breastfed, still breastfeeding”; so we group as “ever and never”.

5. Please check this data: "...and 77.97% of them had never been vaccinated." This could be very wrong as the immunization coverage in Cambodia has been globally recognized as very high.

A: Agree with the reviewer. As in the data of 2828 showed that 2.15% was no, 22.03% was yes, 0.27% was don’t know, and 75.55 was missing. The authors request to delete this variable since it is too much missing, moreover according to literature review this variable is not related with childhood diarrhea, only rotavirus vaccination is associated.

Discussion:

1. This section can be improved by extending more in-depth literature in this area and link to the policy implication of the findings.

A: Agree with the reviewer. However, we do not extending more in-depth literature. We have retained our original.

2. Further limitations of the study should also be included (e.g., self-reporting measures, recall bias...).

 A. Taken care. See 4th sentence, para 3 on page 7.

3. Conclusions and recommendations can be combined.

 A: Authors have retained our original because it will be a good idea to separate the limitation, recommendations and conclusion. Moreover, conclusion is an important part of the paper.

4. Recommendations can be summarized.

A: Taken care. As suggested, the authors have summarized the text in Recommendations part. See page 8.

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Data Availability Statement

    Our study used raw children’s and household data from DHS, Cambodia 2014. Data are free to access for research purposes and can be obtained through the DHS Program after registering and obtaining an approval letter from the Inner City Fund (ICF) ( https://dhsprogram.com/data/Access-Instructions.cfm).


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