The Sustainable Development Goals include commitments to end poverty, and promote education for all, gender equality, the availability of water and decent work for all. An important constraint is the fact that each day, many millions of women and children, and much less frequently men, carry their household’s water home from off-plot sources. The burden of fetching water exacerbates gender inequality by keeping women out of education and paid employment. Despite speculation about the potential health impacts of fetching water, there is very little empirical evidence. We report the first large study of the health impacts of carrying water on women and children.
A cross-sectional survey was conducted in South Africa, Ghana and Vietnam during 2012. It investigated water carrying methods and health status. Because areas of self-reported pain were correlated we undertook factor analysis of sites of reported pain, to interpret patterns of pain reporting. Regression analysis using Generalised Estimating Equations (GEE) investigated water carrying as a risk factor for general health and self-reported pain.
People who previously carried water had increased relative risk of reporting pain in the hands (risk ratio RR 3.62, 95% confidence interval CI 1.34 to 9.75) and upper back (RR 2.27, 95% CI 1.17 to 4.40), as did people who currently carry water (RR hand pain 3.11, 95% CI 1.34 to 7.23; RR upper back pain 2.16, 95% CI 1.25 to 3.73). The factor analysis results indicate that factor 1, ‘axial compression’, which is correlated with pain in the head and upper back, chest/ribs, hands, feet and abdomen/stomach, is associated with currently (0.30, 95% CI 0.17 to 0.43) or previously (0.21, 95% CI 0.01 to 0.42) carrying water. Factor 2, ‘soft tissue strain’, which is correlated with pain in the neck, shoulders/arms, lower back and hips/pelvis or legs, is marginally negatively associated with currently (-0.18, 95% CI -0.32 to -0.04) carrying water. The factor ‘axial compression’ was more strongly associated with carrying water containers on the head.
Participants who reported a history of current or past water carrying more frequently reported pain in locations most likely to be associated with sustained spinal axial compression in the cervical region. Given the fact that cervical spinal conditions are globally one of the more common causes of disability, our findings suggest that water carrying, especially by head loading is a major contributing factor in musculoskeletal disease burden in low income countries. Our findings support the proposed indicator for monitoring SDG6.1: “Percentage of population using safely managed drinking water services at home.”
The United Nations Sustainable development goal (SDG) 6: ‘to ensure access to water and sanitation for all’ includes target 6.1: ‘By 2030, achieve universal and equitable access to safe and affordable drinking water for all’ [
SDG 1 “End poverty in all its forms” – when women have to spend much of their day fetching water they will not have the time to devote to activities that could increase their income.
SDG 4 “Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all” – when children, most often girls, spend time carrying water this prevents them from accessing education.
SDG 5 “Achieve gender equality and empower all women and girls” – it is difficult to see how girls and women could be fully empowered when they spend much of their time fetching water [
SDG 8 “Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all” – sustainable economic growth is less likely in those societies where half the work force spends much of its time fetching water.
Neither of the Drawers of Water studies were definitive about the impact of fetching water on health, or of health on capacity to fetch water. If carrying water adversely affects health, then it would also be a constraint on achieving SDG 3 “Ensure healthy lives and promote well-being for all at all ages”. Although there has been speculation, there has been little concrete evidence on the adverse health impacts of water carrying [
Studies have reported detrimental effects of load carriage on the head [
A cross-sectional survey was conducted, with recruitment and data collection occurring during June to December 2012 in Ghana, South Africa and Vietnam [
Assuming a sample size of 1000 participants and using the approach outlined by Hsieh et al [
Demographic characteristics
| Ghana | South Africa | Vietnam | Total Number | |
|---|---|---|---|---|
| Population of study communities |
5160 |
- |
- |
N/A |
| Number of households (HH) in study communities |
- |
2113 |
264 |
N/A |
| HH enrolled in survey N (%) |
255 (37.9%) |
210 (31.2%) |
208 (30.9%) |
673 (100%) |
| Number of participants enrolled in survey N (%) |
1326 (39.4%) |
1230 (36.5%) |
809 (24.1%) |
3365 (100%) |
| Adults and children responding to pain, disability, general health and history of water carriage questions (1 adult and 1 child from each household) N (%) |
397 (39.8%) |
333 (33.4%) |
267 (26.8%) |
997 (100%) |
| Female gender whole survey: N (%) |
753 (57.6%) |
639 (52.0%) |
401 (49.7%) |
1793 (53.6%) |
| Female gender participants responding to pain, disability, general health and history of water carriage questions: N (%) |
334 (84.8%) |
234 (70.3%) |
221 (82.8%) |
789 (79.4%) |
| Mean age (standard deviation): whole survey |
22.2 (23.5) |
27.7 (21.3) |
29.8 (20.9) |
25.9 (22.4) |
| Mean age (standard deviation): participants responding to pain, disability, general health and history of water carriage questions |
25.5 (16.3) |
31.6 (22.2) |
33.5 (20.5) |
29.7 (19.8) |
| Adult* respondents to pain, disability, general health and history of water carriage questions with at home water supply N (%) |
97 (43.1%) |
103 (51.0%) |
142 (77.2%) |
342 (56.0%) |
| Adult* respondents to pain, disability, general health and history of water carriage questions with off plot water supply N (%) |
128 (47.6%) |
99 (49.0%) |
42 (22.8%) |
269 (44.0%) |
| Child† respondents to pain, disability, general health and history of water carriage questions with at home water supply N (%) |
76 (45.5%) |
73 (55.7%) |
25 (30.5%) |
174 (45.8%) |
| Child† respondents to pain, disability, general health and history of water carriage questions with off plot water supply N (%) | 91 (54.5%) | 58 (44.3%) | 57 (69.5%) | 206 (54.2%) |
*Adult identified at Q14 as main survey respondent for households with at-house supply or usual water carrier for households with off-plot supply.
†Child identified at Q15 for response to health, disability and pain questions.
The household survey collected demographic information about all household members, and included a questionnaire which asked respondents about exposure variables; whether their main water supply was currently obtained from an at-house or off-plot supply point, whether they currently or had ever carried water and their usual method of water carriage. Health outcome variables included self-reported pain, general health, disability and functioning; questions about these variableswere addressed to a subset of participants. The questions were administered to one adult respondent (93% women) and one child (57% girls) from each household. In houses with off-plot water supply, the questions were addressed to an adult and child identified by participants as a person in the household who would normally collect water, in households with at-house supply an adult and a child who would be responsible for collecting water if it were necessary. If a child was not present, the adult was asked to respond on their behalf.
A verbal descriptor of pain severity indicated as “mild”, “moderate” or “severe”, and experienced in the previous seven days [
Prior to commencement of any fieldwork activities, the data collection tools and protocol were revised, refined and standardised at a project workshop attended by the principle investigator (PI), co-investigators and field work team leads for each country in June 2012. The questions were then separately piloted in all three project locations and fieldworkers trained to administer the survey by the team leads within each country.
We addressed potential sources of bias by using stratified random sampling of households to reduce selection bias, limiting information about pain severity to pain experienced in the previous 7 days to reduce recall bias, training field-workers in a standardised interview protocol and monitoring the quality of data collection during fieldwork to reduce interviewer bias, and surveyed households about exposure variables and outcome variables on separate days to minimise response bias.
Summary descriptive statistics for each country compare self-reported pain, general health, and disability of people with at-house supply to those using off-plot water supplies. Categorisation into at-house or off-plot water supply did not distinguish between people who did or did not engage in water carriage. Therefore, personal history of carrying water (by any method, categorised as currently carrying water, previously carried water or no history of water carriage) was used as the predictor variable. Analyses for health outcomes of pain reported in the previous seven days, pain location and self-rating of general health “today” were done using Generalised Estimating Equations (GEE) adjusted for age and gender and accounting for clustering at the household and country level. Participants with missing data were excluded from the analyses. Where the outcome variable was binary we used negative binomial regression with a log link, and where the outcome variable was scalar we used linear regression models. Because reporting of pain location at different parts of the body was correlated, we undertook a factor analysis of the different pain location variables. Two factors extracted from the overall data correlation matrix which accounted for the largest proportion of the total variance in the data were identified. Published literature was used to develop a theoretical construct offering a plausible explanation of the observed correlations between variables in each factor and to name each factor [
This study was approved by the Ethical Committee of the School of International Development at the University of East Anglia for work in South Africa, the University of Leeds Ethical Committee, for work in Vietnam and the University of North Carolina for work in Ghana. In South Africa ethical clearance was also granted by the Tshwane University of Technology central ethical clearance committee, and the research team were invited by local chiefs within the study area to present their proposed research. In Ghana ethical approval was obtained from both the District Director of Health Services for Atwima Nwabiagya and the Atwima Nwabiagya District Assembly. In Vietnam, ethical clearance was obtained by the ethical research board of the Hanoi School of Public Health. Participants were included only after they had given informed written voluntary consent if ≥18 years old or if they and their guardian had given informed voluntary consent if <18 years old.
Respondents with at-house or off-plot water supplies were recruited in each country (
Water carriage method by supply type and country.
Overall, comparing people with at-house vs off-plot supply within countries, there was no significant difference in reporting of pain experienced in the previous seven days (Table S1 and S4 in
History of water carriage did not significantly affect likelihood of reporting pain experienced in the previous seven days (
Adults and children self-report of pain in previous 7 days against history of water carriage
| Pain previous 7 days | Predictor variable | N | RR | L95% CI | U95% CI | |
|---|---|---|---|---|---|---|
| Adults |
No history of water carriage |
130 |
1 |
0.962 |
||
| Previous history of water carriage |
145 |
0.97 |
0.77 |
1.23 |
||
| Currently carries water |
329 |
1.00 |
0.82 |
1.23 |
||
| Children |
No history of water carriage |
228 |
1 |
0.640 |
||
| Previous history of water carriage |
11 |
NA |
||||
| Currently carries water | 139 | 0.89 | 0.55 | 1.44 |
RR – relative risk, L95% CI – lower 95% confidence interval, U95% CI – upper95% confidence interval
Sites of reported pain by past vs never water carrying.
Relative risk of pain location from personal history of water carriage
| Pain location | Predictor variable | N | RR | L95% CI | U95% CI | |
|---|---|---|---|---|---|---|
| Abdominal pain |
No history of water carriage |
364 |
1 |
0.082 |
||
| Previous history of water carriage |
159 |
1.43 |
0.76 |
2.69 |
||
| Currently carries water |
474 |
1.70 |
1.07 |
2.69 |
||
| Chest/rib pain |
No history of water carriage |
364 |
1 |
0.054 |
||
| Previous history of water carriage |
159 |
1.60 |
0.71 |
3.60 |
||
| Currently carries water |
474 |
2.13 |
1.14 |
4.00 |
||
| Feet |
No history of water carriage |
364 |
1 |
0.394 |
||
| Previous history of water carriage |
159 |
1.70 |
0.74 |
3.91 |
||
| Currently carries water |
474 |
1.55 |
0.77 |
3.13 |
||
| Hands |
No history of water carriage |
364 |
1 |
0.020 |
||
| Previous history of water carriage |
159 |
3.62 |
1.34 |
9.75 |
||
| Currently carries water |
474 |
3.11 |
1.34 |
7.23 |
||
| Head |
No history of water carriage |
364 |
1 |
0.071 |
||
| Previous history of water carriage |
159 |
1.16 |
0.67 |
2.02 |
||
| Currently carries water |
474 |
1.53 |
1.03 |
2.27 |
||
| Hips/pelvis/legs |
No history of water carriage |
364 |
1 |
0.373 |
||
| Previous history of water carriage |
159 |
1.13 |
0.74 |
1.72 |
||
| Currently carries water |
474 |
0.85 |
0.61 |
1.20 |
||
| Lower back |
No history of water carriage |
364 |
1 |
0.828 |
||
| Previous history of water carriage |
159 |
0.86 |
0.53 |
1.40 |
||
| Currently carries water |
474 |
0.96 |
0.68 |
1.38 |
||
| Neck |
No history of water carriage |
364 |
1 |
0.512 |
||
| Previous history of water carriage |
159 |
1.26 |
0.74 |
2.16 |
||
| Currently carries water |
474 |
0.95 |
0.62 |
1.45 |
||
| Shoulders/arms |
No history of water carriage |
364 |
1 |
0.053 |
||
| Previous history of water carriage |
159 |
0.91 |
0.52 |
1.60 |
||
| Currently carries water |
474 |
0.59 |
0.38 |
0.92 |
||
| Upper back |
No history of water carriage |
364 |
1 |
0.017 |
||
| Previous history of water carriage |
159 |
2.27 |
1.17 |
4.40 |
||
| Currently carries water | 474 | 2.16 | 1.25 | 3.73 |
RR - relative risk, L95% CI – lower 95% confidence interval; U95% CI – upper 95% confidence interval
Sites of reported pain by current vs never water carrying.
Factor analysis of self-reported pain locations*
| Pain location | Factor 1: axial compression (correlation) | Factor 2: soft tissue strain (correlation) |
|---|---|---|
| Abdomen/stomach |
0.632 |
0.131 |
| Chest/ribs |
0.706 |
0.151 |
| Feet |
0.695 |
0.221 |
| Hands |
0.706 |
0.266 |
| Head |
0.616 |
0.272 |
| Hips/pelvis or legs |
0.179 |
0.757 |
| Lower back |
0.223 |
0.750 |
| Neck |
0.340 |
0.697 |
| Shoulders/arms |
0.238 |
0.790 |
| Upper back | 0.608 | 0.347 |
*Extraction Method: Principal components; rotation: Equamax. Variance explained: 54.8%.
Linear regression analysis of personal history of water carriage on Factor 1 (axial compression) and Factor 2 (soft tissue strain)
| Factor correlated pain locations | Predictor variable | N | B | L95%CI | U05%CI | |
|---|---|---|---|---|---|---|
| Factor 1: Axial compression |
No history of water carriage |
364 |
0 |
0.000045 |
||
| Previous history of water carriage |
159 |
0.21 |
0.01 |
0.42 |
||
| Currently carries water |
474 |
0.30 |
0.17 |
0.43 |
||
| Currently carries water – no head loading |
214 |
0 |
0.034 |
|||
| Currently carries water – head loading* |
260 |
0.36 |
0.03 |
0.70 |
||
| Factor 2: Soft tissue strain |
No history of water carriage |
364 |
0 |
0.023 |
||
| Previous history of water carriage |
159 |
-0.03 |
-0.25 |
0.19 |
||
| Currently carries water |
474 |
-0.18 |
-0.32 |
-0.04 |
||
| Currently carries water – no head loading |
214 |
0 |
0.64 |
|||
| Currently carries water – head loading1 | 260 | -0.07 | -0.35 | 0.22 |
B – linear regression coefficient, L95% CI – lower 95% confidence interval; U95% CI – upper 95% confidence interval
*Subgroup “currently carries water – head loading” only contains participants from South Africa and Ghana, as no-one in Vietnam carried water by head loading.
Ordinal logistic regression of pain duration against Factor 1 (axial compression) and Factor 2 (soft tissue strain) with pain defined in three categories as <1 months, ≥1 months <3 months and ≥3 months (n = 333)
| Predictor | OR | L95%CI | U95%CI | |
|---|---|---|---|---|
| Factor 1: “Axial compression” |
0.61 |
0.44 |
0.84 |
0.003 |
| Factor 2: “Soft tissue strain” | 1.30 | 0.59 | 2.86 | 0.521 |
OR – odds ratio, L95% CI – lower 95% confidence interval; U95% CI – upper 95% confidence interval
In Vietnam, proportionately more adults with at-house supply reported problems using their legs (ꭓ2 = 8.8;
Most people in South Africa and Ghana rated their health as very good, good or moderate with no significant difference according to whether they had at-house or off-plot water supply (Tables S9 and S10 in
Interestingly, adults who previously carried water had a mean general health rating score 0.58 less (ie, healthier) than adults who never carried water (β = -0.58, 95% CI -0.80 to -0.35,
Impact of personal history of water carriage rating of general health
| General Health | Predictor variable | N | &Bgr; | L95%CI | U95%CI | |
|---|---|---|---|---|---|---|
| Rating of general health today (adults) |
No history of water carriage |
123 |
0 |
<0.000001 |
||
| Previous history of water carriage |
143 |
-0.58 |
-0.80 |
-0.35 |
||
| Currently carries water |
325 |
-0.91 |
-1.12 |
-0.70 |
||
| Rating of general health today (children) | No history of water carriage |
204 |
0 |
0.003 |
||
| Previous history of water carriage |
10 |
0.39 |
0.02 |
0.75 |
||
| Currently carries water | 128 | -0.20 | -0.37 | -0.31 |
B - linear regression coefficient L95% CI – lower 95% confidence interval; U95% CI – upper 95% confidence interval
Current and past history of water carriage was associated with location of self-reported pain and ratings of general health. Reported pain locations were correlated and factor analysis revealed that Factor 1, which has been interpreted as the effects of ‘axial compression’, was associated with current or past water carriage, whilst Factor 2, interpreted as the effects of ‘soft tissue strain’ was slightly negatively associated with current water carriage. The factor ‘axial compression’ was most strongly associated with water carriage by head loading. The findings highlight that the experience of pain needs to be qualified in some detail to discriminate between people with different exposures to water carriage and with potentially different underlying causal mechanisms for their pain. The risk of reporting pain anywhere in the body indicated by a yes/no response to the question ‘in the past week (7 days) have you had any physical pain?’ was not significantly associated with different water supply or history of water carriage, likely reflecting the fact that physical pain is a common phenomenon in the general population. However, among those who did report pain, risk of reporting pain in specific parts of the body was significantly associated with history of water carriage. This is consistent with approaches to the clinical assessment of pain, in which location of pain is used to inform a differential diagnosis [
There is biological plausibility in the increased relative risk of pain in specific locations of the body in people with a current or past history of water carriage, as well as the correlation of pain areas in each factor and the association of axial compression with pain duration, water carriage and head loading in particular. Sustained axial compressive loading through the cervical spine and upper back, as occurs with carrying water filled containers on the head, is a plausible mechanism by which intervertebral discs or vertebrae of the upper cervical spine and cervico-thoracic junction may be stressed. Pal and Routal [
Our study is the first to find an association between water carriage and a pattern of correlated pain locations, which we believe is most likely due to a specific spinal musculoskeletal disorder caused by axial loading. Musculoskeletal disorders are within the top ten causes of years lived with disability in developing countries. Combined with fractures and soft tissue injuries they accounted for 20.8% of global years lived with disability in 2013, which would be even greater if years lived with disability due to sequelae of cervical disorders such as neurological impairment and headache were added [
The correlation of pain locations with factor 2 (soft tissue strain) are more typical of simple non-specific spinal pain which produces somatic referred pain in the upper and lower limbs respectively. It may be due to the effects of soft tissue strain, for example generated by shear or translation stress, which can be reduced through better postural muscle control and functioning [
In all countries, proportionately more adults with off-plot supply, as compared to adults with at-house supply complained of pain lasting for less than a month, which was significantly associated with axial compression pain location patterns. The most common clinical pattern of degenerative disc disease or cervical spondylosis is episodic exacerbation or ‘flare up’ of symptoms followed by periods of remission or stability [
The better ratings of general health in those who previously or currently carry water may indicate some health benefits linked to increased physical activity. It could also indicate a greater sense of well-being linked to positive social interactions associated with water carriage. Results from the latest South African census also support the finding that the majority of the population in South Africa rate themselves as being in good health [
The findings of no difference in perceived health with on-plot or off-plot supplies in Ghana and SA, yet better health among water carriers past and present than non-carriers indicate that there is an association with the activity of water carriage, but not with the type of household water supply. This is likely due to the large number of people categorised as having at-house water supply, who actually had previously carried water, or still have to carry water because of interruptions to supply, as shown in
We did not include data about load carriage of materials other than water to reduce the size of the questionnaire and subsequent respondent burden, and to keep the focus on water access which was the primary aim of the research. However we do acknowledge that head loading of other materials, such as firewood [
Although a limitation of the study was the use of a main survey respondent to answer health questions for household members if they were not present, the main respondent was most often an adult female who would be likely to have more insight into the health and medical history of her family members and have personal experience of water carriage herself. Clinical assessment of participants by a trained health professional would allow more informed interpretation of underlying causes of self-reported pain. Cause and effect must be established from a range of evidence including that derived from studies involving clinical assessment, and longitudinal cohort studies, which may reveal more complicated relationships between physical, psychological and social factors associated with water fetching and health. Nevertheless, previous studies have reported good correlation across populations between subjective symptoms and underlying radiological findings, and even in affluent countries, a diagnosis would usually be based on reported symptoms without reliance on ancillary investigations [
We have shown that people reporting a past or current history of water carriage were much more likely to report pain in locations typically associated with cervical compression syndromes. Cervical compression is associated with far more serious sequelae than back pain and can lead to serious long term disability in later life. Given that in 2015, 663 million people still use unimproved drinking water sources [