| Literature DB >> 29989042 |
Jo-Anne Lee Geere1, Moa Cortobius2, Jonathan Harold Geere3, Charlotte Christiane Hammer1, Paul R Hunter1,4.
Abstract
INTRODUCTION: The work of carrying water falls mainly on women and children, particularly in sub-Saharan Africa and rural areas. While concerns have been raised, how water carriage is associated with health of the water carrier is not clear. The aim of this review is to summarise evidence on whether, and how, water carriage is associated with the water carrier's health.Entities:
Keywords: child health; maternal health; other infection, disease, disorder, or injury; public health; systematic review
Year: 2018 PMID: 29989042 PMCID: PMC6035504 DOI: 10.1136/bmjgh-2018-000764
Source DB: PubMed Journal: BMJ Glob Health ISSN: 2059-7908
Figure 1Study selection (Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2009).
Quality appraisal cohort studies (National Institutes of Health critical appraisal tool)
| First author and date (listed in chronological, then alphabetical order) | Was the research question or objective in this paper clearly stated? | Was the study population clearly specified and defined? | Was the participation rate of eligible persons at least 50%? | Were all the subjects selected or recruited from the same or similar populations? | Was a sample size justification, power description or variance and effect estimates provided? | For the analyses in this paper, were the exposure(s) of interest measured prior to the outcome(s) being measured? | Was the timeframe sufficient so that one could reasonably expect to see an association between exposure and outcome if it existed? | For exposures that can vary in amount or level, did the study examine different levels of the exposure as related to the outcome? | Were exposure measures (independent variables) clearly defined, valid, reliable and implemented consistently across all study participants? | Was the exposure(s) assessed more than once over time? | Were the outcome measures (dependent variables) clearly defined, valid, reliable, and implemented consistently across all study participants? | Were the outcome assessors blinded to the exposure status of participants? | Was loss to follow-up after baseline 20% or less? | Were key potential confounding variables measured and adjusted statistically for their impact on the relationship between exposure(s) and outcome(s)? | Overall rating of study quality for determining cause and effect relationship |
| Buor 2004 | Y | Y | N | N | N | N | N | Y | N | NA | N | NR | NA | N | Poor |
| McCray 2004 | N | Y | N | Y | N | N | Y | Y | CD | N | N | N | NA | Y | Fair |
| Foggin 2006 | Y | Y | N | N | N | N | N | N | Y | NA | N | N | NA | N | Poor |
| Gibson 2006 | Y | Y | NR | N | N | Y | Y | N | Y | N | Y | NR | NR | N | Fair |
| Rao, 2006 | Y | Y | N | CD | N | N | N | Y | N | NA | N | N | NA | N | Poor |
| Hemson 2007 | N | Y | CD | CD | N | N | N | Y | N | NA | N | N | NA | N | Poor |
| BeLue 2008 | Y | Y | CD | Y | N | N | Y | Y | N | NA | CD | CD | NA | N | Poor |
| Borah 2010 | N | Y | NR | Y | N | N | N | N | N | N | N | N | NA | N | Poor |
| Geere 2010 | Y | Y | N | Y | N | N | N | Y | Y | NA | N | N | NA | N | Poor |
| Rauniyar 2011 | Y | Y | N | Y | N | N | N | N | N | N | N | CD | NA | Y | Poor |
| Devoto 2012 | N | Y | Y | Y | Y | Y | Y | Y | N | Y | N | Y | Y | Y | Good |
| Singh 2012 | Y | Y | CD | N | N | N | N | N | N | NA | N | CD | NA | N | Poor |
| Stevenson 2012 | Y | Y | NR | Y | N | N | N | N | N | N | N | NR | NR | Y | Poor |
| Yallew, 2012 | Y | Y | N | Y | N | N | N | Y | Y | NA | N | N | NA | N | Poor |
| Asaba 2013 | N | Y | N | Y | N | N | N | N | N | N | N | N | NA | N | Poor |
| Robson 2013 | Y | Y | CD | N | Y | N | N | Y | Y | NA | N | N | NA | N | Poor |
| Henley 2014 | Y | Y | N | N | N | N | N | N | N | NA | Y | NR | NA | Y | Fair |
| Mugambe 2014 | Y | Y | N | Y | Y | N | N | Y | N | NA | N | N | NA | Y | Fair |
| Ono 2014 | y | y | CD | y | N | N | N | Y | N | NA | Y | N | NA | Y | Fair |
| Berrian 2016 | Y | Y | Y | Y | Y | N | N | Y | N | NA | N | NR | NA | N | Poor |
| Cook 2016 | Y | Y | CD | Y | N | N | N | Y | CD | NA | N | CD | NA | N | Poor |
| Hennegan 2016 | Y | Y | N | Y | N | N | Y | NA | Y | Y | N | N | Y | N | Poor |
| Krumdieck 2016 | Y | Y | Y | Y | N | N | N | N | N | NA | N | NR | NA | N | Poor |
| Dapaah 2017 | Y | Y | N | Y | N | N | N | N | N | NA | N | N | NA | N | Poor |
| Geere 2018 | Y | Y | Y | N | Y | N | CD | Y | N | NA | Y | Y | NA | Y | Fair |
| Thomas 2018 | Y | Y | N | Y | N | N | N | Y | N | N | N | N | NA | Y | Poor |
CD, cannot determine; N, no; NA, not applicable; NR, not reported; Y, yes.
Quality appraisal studies reporting qualitative data (CASP tool)
| First author and date (listed in chronological, then alphabetical order) | Was there a clear statement of aims? | Is a qualitative method appropriate? | Research design appropriate to research aims? | Recruitment strategy appropriate to research aims? | Data collected to address research issue? | Relationship between researcher and participants considered? | Have ethical issues been considered? | Was the data analysis sufficiently rigorous? | Clear statement of findings? | Quality rating: |
| Foggin 2006 | Yes | Yes | Yes | Cannot tell | Yes | Cannot tell | Cannot tell | Cannot tell | No | Fair |
| Hemson 2007 | Yes | Yes | Yes | Cannot tell | Cannot tell | Cannot tell | Cannot tell | Cannot tell | Yes | Fair |
| Geere 2010 and | Yes | Yes | Yes | Yes | Yes | Cannot tell | Yes | Cannot tell | Yes | Good |
| Domènech 2012 | Yes | Yes | Yes | Cannot tell | Yes | Cannot tell | Cannot tell | Cannot tell | Yes | Fair |
| Stevenson 2012 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Good |
| Yallew, 2012 | Yes | Yes | Yes | Cannot tell | Yes | Cannot tell | Yes | Cannot tell | Yes | Good |
| Asaba 2013 | Yes | Yes | Yes | Yes | Cannot tell | Cannot tell | No | Cannot tell | No | Fair |
| Robson 2013 | Yes | Yes | Cannot tell | Cannot tell | Cannot tell | Cannot tell | No | Cannot tell | Yes | Poor |
| House 2014 | Yes | Yes | Cannot tell | Cannot tell | Cannot tell | Cannot tell | Cannot tell | Cannot tell | Yes | Poor |
| Isoke 2014 | Yes | Yes | Yes | Yes | Yes | Cannot tell | Cannot tell | Cannot tell | Yes | Good |
| Mukhulani 2014 | Yes | Yes | Yes | Cannot tell | Cannot tell | Cannot tell | Cannot tell | Cannot tell | Yes | Fair |
| Schatz 2014 | Yes | Yes | Yes | Yes | Yes | Cannot tell | Cannot tell | Yes | Yes | Good |
| Bisung 2015 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Good |
| Sarkar 2015 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Cannot tell | Yes | Good |
| Subbaraman 2015 | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Good |
| Ghosh 2016 | Yes | Yes | Yes | Yes | Yes | Cannot tell | Yes | Yes | Yes | Good |
| Mbereko 2016 | No | Yes | Cannot tell | Yes | Yes | Yes | Cannot tell | Yes | Yes | Good |
| Zolnikov 2016 | Yes | Yes | Yes | Yes | Yes | Cannot tell | Cannot tell | Yes | Yes | Good |
| Ayoade 2017 | Yes | Yes | Cannot tell | Cannot tell | Yes | Cannot tell | No | Cannot tell | No | Poor |
| Mercer 2017 | Yes | Yes | Yes | Yes | Yes | Cannot tell | Yes | Yes | Cannot tell | Good |
| Thomas 2018 | Yes | Yes | Cannot tell | Cannot tell | Cannot tell | Cannot tell | No | Cannot tell | Cannot tell | Poor |
Water carriage and pain or injury
| First author and date | Population | Study type | Dates | Key findings | Quality |
| Hemson 2007 | South Africa: 1052 children aged 5–17 years from 366 households, in three villages with no piped water supply | Mixed methods | NR | 96% of the children reporting that their health had worsened, reported that they had a sore neck or back. | Poor* |
| Borah 2010 | India: 30 rural women with normal blood pressure and temperature aged 21–40 years in Jorhat district of upper Brahmaputra Valley Zone of Assam | Observational study | NR | Incidence of pain during complete water fetching cycle, and with subactivities was mainly in low back region. Pain also reported in shoulder joints while drawing water and carrying it home. | Poor* |
| Geere 2010a | South Africa: subgroup of 29 people interviewed, drawn from convenience sample of 39 adults and children fetching water in six rural villages of Limpopo Province | Mixed methods‡ | 2008 | Prevalence of spinal (neck or back pain) among water carriers was 69% and back pain alone was 38%. | Poor* |
| Geere 2010a and b | South Africa: 39 adults and children observed to fetch water in six rural villages of Limpopo Province | Qualitative‡ | 2008 | Children linked water fetching to pain, spinal mobility problems and injury. | Good† |
| Rauniyar 2011 | Pakistan: 1301 ‘treatment’ households of rural water and sanitation project villages and 1301 matched comparison households in non-project villages | Cross-sectional survey | 2008 | A significant 5% (p<0.001) reduction in ‘drudgery’ defined as pain from fetching water due to muscle strain, back ache or blisters, attributed to water and sanitation projects; remained highly significant for lowest socioeconomic group in subgroup analyses. | Poor* |
| Domènech | Nepal: 120 households of 10 communities (2 communities from each district) of Kaski, Syangja, Palpa, Gulmi and Doti districts | Mixed methods§ | 2008–2009 | Rain water harvesting at the house reported to reduce ‘numbers of accidents and injuries during water collection’. | Fair† |
| Singh | India: 100 agricultural workers (50 male and 50 female) engaged in agricultural tasks in last 10 years, from villages of Udaipur district of Rajasthan | Cross-sectional survey | NR | Male and female respondents reported severe neck and shoulder pain during water fetching; severe lower back pain felt by female respondents during water fetching. | Poor* |
| Asaba 2013 | Uganda: survey of 602 (~35%) households in Makondo Parish, and in-depth interviews, focus group discussions and participant observation in four villages | Mixed methods | 2011–2012 | Three cases of a child drowning at open wells or ponds reported; accidental injury due to slips and falls while water fetching and fear of animal attacks also reported; among men and women, and male and female youths and children, carrying water was perceived to cause chest pain (33.3%–64.4%); headache (5.7%–23.1%); nasal bleeding (0.8%–4.0%); back pain (0.8%–1.9%); spinal problems (0.3%–0.8%) and no problem (11.1%–32.9%). | Poor* |
| Robson 2013 | Malawi: 1504 children aged 9–18 years from 12 field sites in each of 3 regions | Mixed methods | 2006–2009 | 35% of children reported pains and health problems as their biggest difficulty in carrying water; headaches and neck aches most frequently cited (26%). Of children citing water carrying as their heaviest load, 5% more girls than boys reported bodily aches and pain in the last week. Supported by qualitative evidence from adults and children. Children (22%) reported hazards or risks of water fetching, such as rough terrain, stream/river crossings, snake or dog attacks, vehicles or risk of being swept away or drowning during floods. | Poor*† |
| Bisung 2015 | Kenya: convenience sample of 8 women living in Usoma, 15 km from Kisumu | Qualitative (photovoice) | 2013 | Photograph used to illustrate that children fetch water bare footed and are exposed to injuries. | Good† |
| Sarkar | Canada: 37% of adults and 100% of high school students living in the sub-Arctic Inuit community Black Tickle-Domino, located on the remote Island of Ponds, off the coast of southern Labrador | Mixed methods§ | 2013 | Study participants attributed chronic back and shoulder injuries to carrying heavy water buckets every day. Some men required surgery, but indefinitely postponed surgery due to ‘the unavailability of alternative persons to retrieve water for their families’. | Good† |
| Subbaraman 2015 | India: interviews with 40 adults in Mumbai slum; 3 focus groups (FG) of 6–9 women; 3 FG of 6–9 men | Qualitative | 2011 | Physical strain occurs from water fetching, particularly impacting negatively the elderly, women and children. | Good† |
| Berrian 2016 | South Africa: 256 surveys within four purposively selected villages of Mnisi study area, Bushbuckridge Local Municipality, Mpumalanga | Cross-sectional survey | 2013 | 224 (85%) respondents believed that shared water sources among people, livestock and wild animals could be a health risk; 118 (45%) reported household water collection from places shared with animals. ‘Most’ survey participants dislike wildlife around their community, perceived as a threat to personal safety. | Poor* |
| Ayoade 2017 | Nigeria: 800 girls aged 5–15 years in periurban areas of Abeokuta, Ogun Stat | Qualitative | 2013–2014 | 788 (95%) experienced neck and back pain from carrying an excessive load of water and most reported a belief that their back pains worsened during menstruation as a results of heavy water carrying; 90% have experienced some form of violence (fights or punishment) and injury (slips, stepping on nails/glass); 166 (21%) experienced injury from physical fights at water points; 345 (41%) witnessed friends or neighbours struck by moving vehicles while fetching water. | Poor† |
| Mercer 2017 | Canadian subarctic: seven purposively selected households (21 people) in Black Tickle-Domino Inuit community | Mixed methods¶ | NR | 40.92% reduction in water retrieval time with rain water harvesting, explained by participants to mean less lifting and carrying of heavy water containers and potentially fewer injuries. Reported fear and anxiety of polar bear attack during water retrieval. | Good† |
| Geere 2018 | South Africa, Ghana, Vietnam: 1 adult and 1 child from 673 households with at-house and off-plot water supply | Cross-sectional survey | 2012–2013 | People who previously carried water had increased risk of pain in hands (RR 3.62, 95% 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) compared with people who never carried water. Mean ‘axial compression’ factor score (correlated with pain in head, upper back, chest/ribs, hands, feet and abdomen/stomach) associated with current (0.30, 95% CI 0.17 to 0.43) or previous (0.21, 95% CI 0.01 to 0.42) water carriage. Mean ‘soft tissue strain’ factor score (correlated with pain in the neck, shoulders/arms, lower back and hips/pelvis or legs), negatively associated with currently (−0.18, 95% CI −0.32 to −0.04) carrying water. | Fair* |
*Methodological quality rating of cohort study or cross-sectional survey.
†Methodological quality rating of qualitative study or reporting of qualitative findings as part of a mixed methods study.
‡Quantitative data reported by Sarkar et al and Domènech et al were water quality testing.
§No quantitative health data were collected for analysis against water retrieval time.
¶Small mount of qualitative data presented in Geere 2010a are drawn from study reported in Geere 2010b.
RR, relative risk.
Strength of evidence from quantitative data
| Health domain | Quality* | Quantity† | Consistency‡ | Strength of evidence§ |
| Pain and injury | One fair, eight poor | 9 | Consistent: | Moderate |
| Fatigue and energy expenditure | One fair, six poor | 7 | Consistent: | Moderate |
| Stress, mental well-being or life satisfaction | One good, one fair, three poor | 5 | Inconsistent: | Inconclusive |
| Perinatal health | Three fair | 3 | Consistent: | Moderate |
| Social vulnerability | One good, one fair, five poor | 7 | Consistent: | Moderate |
| General health | One fair, three poor | 4 | Inconsistent: | Inconclusive |
*Quality score based on National Institutes of Health tool, qualitative and quantitative data of mixed methods studies rated separately, such that total number of rating scores can be greater than number of studies.
†Number of studies.
‡Inconsistent: if ≤75% of the available studies reported the same conclusion.
§Evidence based on quality, number and the outcome of studies: strong=provided by generally consistent findings in multiple high-quality quantitative studies; moderate=generally consistent findings in one high-quality quantitative study and one low-quality study, or in multiple low-quality studies; inconclusive evidence=only one study available or inconsistent findings in multiple studies.20
WC, water carriage.
Strength of evidence from qualitative data
| Health domain | Quality* | Quantity† | Consistency‡ | Strength of evidence§ |
| Pain and injury | Five good, two fair, two poor | 9 | Consistent: | Strong |
| Fatigue and energy expenditure | Three good, two fair, two poor | 7 | Consistent: | Strong |
| Stress | Two good, one poor | 3 | Inconsistent: | Strong |
| Perinatal health | Two good, one poor | 3 | Consistent: | Strong |
| Social vulnerability | Five good, three fair, three poor | 11 | Consistent: | Strong |
| General health | Two good | 2 | Inconsistent: | Inconclusive |
*Quality score based on CASP tool, qualitative and quantitative data of mixed methods studies rated separately, such that total number of rating scores can be greater than number of studies.
†Number of studies.
‡Inconsistent: if ≤75% of the available studies reported the same conclusion.
§Evidence based on quality, number and the outcome of studies: strong=provided by generally consistent findings in multiple high-quality qualitative studies; moderate=generally consistent findings in one high-quality study and one low-quality qualitative study, or in multiple low-quality studies; inconclusive evidence=only one study available or inconsistent findings in multiple studies.20
WC, water carriage.
Water carriage and energy expenditure or fatigue
| First author and date | Population | Study type | Dates | Key finding | Quality |
| Gibson | Ethiopia: agropastoralist community, 1548 women aged 15–49 years in a demographic survey of 1976 HHs and subsample of 682 children (<15 years) and 264 women (15–49 years) in anthropometric survey in four villages | Cohort study | 2003 | Odds of a woman with ‘energy saving’ water points closer to home giving birth in any given month was three times greater than a woman without an improved water supply (OR 3.78, p=0.009). | Fair* |
| Hemson 2007 | South Africa: 1052 children aged 5–17 years from 366 households, in three villages with no piped water supply; two dry flat villages in Limpopo and one hilly village with natural springs in Kwazulu Natal | Mixed methods | NR | 17% of children surveyed on recent illness reported fatigue for which 4% had sought treatment. Of children reporting worsened health, 96% described water carrying as tiring, 75% reported fatigue. | Poor* |
| Rao | India: 22 rural women aged 18–45 years from villages about 30–40 km from Pune city, Maharashtra | Cross-sectional survey | NR | PAL‡ of drawing water from a well and using hand pump were categorised as moderate; carrying two containers on the head was categorised as heavy. | Poor* |
| Borah 2010 | India: 30 rural women with normal blood pressure and temperature aged 21–40 years in Jorhat district of upper Brahmaputra Valley Zone of Assam | Observational study | NR | Compared with walking to water point and drawing water, the return journey with water-filled containers had maximum heart rate (HR) and energy expenditure (EE) for 21–30 age group (115 bpm and 9.56 kJ/min) and for 31–40 age group (113 bpm and 9.24 kJ/min); on basis of average HR and EE, workload for drawing water and return journey classified as moderately heavy; on basis of peak HR and EE, workload for drawing water and return was classified as heavy or very heavy; rating of perceived exertion was highest with the return journey while carrying water, and highly correlated with HR (r=0.84–0.92) for both age groups at all parts of the water fetching cycle. | Poor* |
| Geere 2010a | South Africa: subgroup of 29 people interviewed, drawn from convenience sample of 39 adults and children fetching water in six rural villages of Limpopo Province | Mixed methods | 2008 | Rating of perceived exertion significantly correlated with container weight (r=0.52; p=0.011) and path incline (r=0.459; p=0.018) during water carriage. | Poor* |
| Geere 2010b | South Africa: 39 adults and children observed to fetch water in six rural villages of Limpopo Province | Qualitative | 2008 | Children link water carriage to tiredness in qualitative interviews. | Good† |
| Domènech | Nepal: 120 households equally distributed among 10 selected communities and with at least 2 years of experience with rainwater harvesting | Mixed methods§ | 2008–2009 | Rainwater harvesting reduced water fetching (6.4 hours/day less in the rainy season; 4 hours/day less in the dry season) and allowed energy (calorie) savings. | Fair† |
| Asaba 2013 | Uganda: survey of 602 (~35%) households in Makondo Parish, and in-depth interviews, focus group discussions and participant observation in four villages | Mixed methods | 2011–2012 | Over 70% of survey respondents highlighted ‘tiresome’ nature of water fetching. Many added that carrying water required ‘a lot of physical energy’. Among men (22.9%) and women (13.6%), male youths (18.1%), female youths (19.1%), male children (23.7%) and female children (23.1%) carrying water was perceived to cause fatigue. | Poor* |
| Robson 2013 | Malawi: 1504 children aged 9–18 years from 12 field sites in each of 3 regions | Mixed methods | 2006–2009 | Of children citing water carrying as their heaviest load, 5% more girls than boys reported experiencing tiredness in the last week. Supported by qualitative data from adults and children, indicating that children suffer from tiredness and inability to concentrate at school, particularly from being woken at night or very early morning to fetch water. | Poor*† |
| Bisung 2015 | Kenya: convenience sample of 8 women living in Usoma, 15 km from Kisumu | Qualitative | 2013 | Children need a lot of energy to push wheelbarrows and carts used for carrying water. | Good† |
| Zolnikov | Kenya: 52 semi-structured interviews to examine relationships among primary water gatherers and their families after receiving nearby access to water, in Kitui. | Qualitative | NR | Primary water gatherer ‘very tired and easily annoyed’ prior to the implementation of interventions providing nearby water supply. | Good† |
| Ayoade 2017 | Nigeria: 800 girls aged 5–15 years in periurban areas of Abeokuta, Ogun State | Qualitative | 2013–2014 | Respondents reported that they experienced fatigue due to water carriage, which negatively affected their ability to participate in school. | Poor† |
*Methodological quality rating of cohort study or cross-sectional survey.
†Methodological quality rating of qualitative study or reporting of qualitative findings as part of a mixed methods study.
‡Index of total energy expenditure adjusted for basal metabolic rate (BMR).
§Quantitative data reported by Domènech et al were water quality testing.
HHs, households.
Water carriage and stress, mental well-being or life satisfaction
| First author and date | Population | Study type | Date | Key findings | Quality |
| BeLue | South Africa: mothers, 9 months post partum aged 17–30 years, Khayelitsha, Western Cape | Cross-sectional survey | 1999–2000 | Piped water in the dwelling associated with significantly lower perceived stress (PSS); PSS 14.2, (SD 4.8) for piped into dwelling, 19 (SD 7.4) piped water to yard, 17 (SD 6.6) for public standpipe). | Poor* |
| Devoto 2012 | Morocco: 845 households in Tangiers, not connected to a city water network, comparing subgroup of households reporting above median baseline time fetching water | Cohort study | 2007–2008 | With subgroup analysis of households reporting above average median baseline water fetching time, no significant effect of allocation to water supply ‘encouragement’ project, or actual connection to piped water supply on (a) summary index averaging 3 scores of mental well-being (over past 7 days respondent felt more often than not, sad/worried/satisfied), and (b) respondent’s rating of life satisfaction level being ≥5 (on 0–10 scale). | Good* |
| Stevenson | Ethiopia: women from cluster sample of 104 households for free listing, convenience sample of 39 women from three kebeles for ranking exercise, three focus group discussions totalling 30 women form three kebeles, cluster sample of 324 women | Mixed methods | 2009–2010 | The 24-item water insecurity scale was correlated with time required to fetch water (r=0.52; p<0.0001), and was positively but weakly correlated with psychosocial distress (r=0.22, p<0.001), indicating that women who experienced more water insecurity also reported more symptoms of common mental disorders. Qualitative data indicate that social and environmental factors contribute to stress during water carriage. | Poor* |
| Henley | Kenya: randomly selected subsample (200 of 1000 participants in health survey) from settlements in Naivasha and Mogotio | Cross-sectional survey | 2011 | Participants who reported feeling unsafe when they collected water or went to the toilet had increased mean hair cortisol content by 127 ng/g (yes (safe) 607±282 ng/g; no (not safe) 734±335 ng/g; p=0.0370). | Fair* |
| Zolnikov | Kenya: 52 semi-structured interviews to examine relationship experiences among primary water gatherers and their families after receiving nearby access to water, in Kitui. | Qualitative | NR | Primary water gatherers: before water interventions easily annoyed; after intervention additional time for discussions with spouse and of school-related achievements and issues with children. Household heads: before interventions angry at lack of water availability, challenged by lack of time for household discussions, unsatisfied with work; after water interventions time for discussions and planning with spouse, made additional money. | Good† |
| Thomas 2018 | Ethiopia: survey and focus groups with 200 households in Welenchiti, Oromia region, and interviews with senior water utility staff | Mixed methods | NR | Most households (64%) felt ‘bothered’ by collecting water in the previous 7 days, mostly because of having to collect water at night; emotional distress was not significantly associated with accessibility (total water collection time in minutes) of the main water source (β =−0.03, p=0.677) indicating that a longer time spent collecting water did not increase the intensity of emotional distress. | Poor*† |
*Methodological quality rating of cohort study or cross-sectional survey.
†Methodological quality rating of qualitative study or reporting of qualitative findings as part of a mixed methods study.
Water carriage and perinatal health
| First author and date | Population | Study type | Dates | Key finding | Quality |
| McCray | South Africa: 327 HH surveys: mothers of child aged 12–23 months in randomly selected household Kwazulu Natal | Cross-sectional survey | 1998 | Report that fetching water was daily activity affected by making a trip to the health clinic associated with level of prenatal care utilisation (ꭓ2=6.64, p=0.036); women two times more likely to use prenatal care services at low level than at an average level (1/OR=2.43). | Fair* |
| Gibson | Ethiopia: 1548 women (aged 15–49 years) in demographic survey of 1976 HHs; 682 children, 264 women in anthropometric study (four villages) | Cohort study | 2003 | Odds of woman with access to water points giving birth in any given month three times greater than a woman without an improved water supply (OR 3.78, p=0.009). Installation of taps did not improve or predict maternal health indicated by anthropometric measures of BMI and MUAC. | Fair* |
| Ono | Kenya: 306 mothers aged 18–49 years, who brought their babies to Sosiot Health Center for immunisation within their first year of life, in September to November 2011. Data from 303 respondents (99%) were analysed | Cross-sectional survey | 2011 | Unmarried women whose sisters helped them fetch water more likely to deliver at health facilities (HF) (p=0.042) and married women whose neighbours helped them fetch water less likely to deliver at HF (p=0.021) than those without support. Married women, borderline significant (p=0.054) association between birth at home and support from husband water fetching; of women who received help from their husband to fetch water, 1 of 20 (5%) gave birth at home, 19 of 20 (95%) gave birth in a HF; women who did not have help from their husband to fetch water, 50 of 211 (23.7%) gave birth at home, 161 of 211 (76.3%) gave birth in HF. Married women more likely to deliver at HF if they did not have the support of sisters-in-law fetching water (OR=2.2, 95% CI 1.0 to 4.7, n=245; husband helping not in logistic regression model). | Fair* |
| Mukhulani 2014 | Zimbabwe: respondents of three Bulawayo suburbs | Qualitative | NR | Physical strain and health complications from carrying 20 L container on head while pregnant highlighted in illustrative quote from qualitative data. | Poor† |
| Bisung 2015 | Kenya: convenience sample of eight women living in Usoma, 15 km from Kisumu | Qualitative (photovoice) | 2013 | Photograph of pregnant woman carrying 20 L of water on head and holding 10 L used to exemplify association of water carriage with maternal health. | Good† |
| Ghosh 2016 | India: 79 mothers from 8 groups of 8–10 mothers of at least 1 child under 6, in four villages in the Sundarbans of West Bengal | Qualitative | NR | Mothers did not get sufficient rest during pregnancy and perceived that this led to giving birth to malnourished children. ’The women have to fetch water from a distant source even in their last few months of pregnancy. They force themselves to do so to avoid the quarrels with the mother-in-law’. | Good† |
*Methodological quality rating of cohort study/cross-sectional survey.
†Methodological quality of qualitative study or qualitative findings of mixed methods study.
BMI, body mass index; MUAC, middle upper arm circumference.
Water carriage and social vulnerability
| First author and date | Population | Study type | Dates | Key finding | Quality |
| Devoto 2012 | Morocco: 845 households in Tangiers, not connected to a city water network, comparing subgroup of households reporting above median baseline time fetching water | Cohort study | 2007–2008 | Significant reduction in risk of being in conflict with people from his/her family on water matters with (a) allocation to water supply ‘encouragement’ project (−0.06, p=0.05), which remained significant and decreased further for households with above median baseline time fetching water (−0.09, p=0.10) or (b) actual connection to piped water supply (−0.12, p=0.05), which was similar but not significant for households with above average baseline water fetching time. | Good* |
| Domènech | Nepal: 120 households distributed among ten selected communities, with at least 2 years experience of rainwater harvesting | Mixed methods‡ | 2008–2009 | Perceived benefits from rainwater harvesting reported as being particularly helpful to vulnerable groups, described as older people, disabled people and children. | Fair† |
| Yallew | Ethiopia: 296 home based care clients living with HIV/AIDS, drawn from two NGOs in Gondar city | Mixed methods | 2009 | Bivariate analysis indicated that being forced to go far distance associated with unimproved water status (crude OR 3.91, 95% CI 1.13 to 13.47, p<0.05); needing help with walking associated with improved water status (crude OR 0.11, 95% CI 0.01 to 0.89, p<0.05), but not significant in multiple logistic regression; adjusted OR for forced to go far 3.84 (95% CI 0.41 to 35.27); for needing help walking 0.13 (95% CI 0.01 to 1.44). | Poor* |
| Asaba 2013 | Uganda: survey of 602 (~35%) households in Makondo Parish, and in-depth interviews, focus group discussions and participant observation in four villages | Mixed methods | 2011–2012 | Water points are sites of positive social interactions, however, fights resulting in verbal and physical attacks were also observed and reported to occur at ‘improved’ water points, particularly at those with queues. | Poor* |
| Robson 2013 | Malawi: 1504 children aged 9–18 years from 12 field sites in each of 3 regions | Mixed methods | 2006–2009 | Hazards of water fetching reported to be harassment, verbal abuse or attack from people, and ‘meeting criminals’. | Poor*† |
| House | Various countries§ | Qualitative | NR | Case studies indicate that gender-based violence occurs during water fetching in many countries. Violence may be sexual, psychological, physical or sociocultural. | Poor† |
| Isoke | Uganda: 127 survey respondents from Bwaise II and Kisenyi III parishes (informal settlements in Kampala). Semi- structured interviews with 10 NWSC staff. Three focus groups, 2 with 12 leaders of the parishes and 1 of 4 NGO members | Mixed methods¶ | NR | Reasons cited for choice of tap included securing young children from being sexually abused and preventing children from ‘picking up bad habits from bad company’. | Good† |
| Mugambe | Uganda: 450 respondents, with 222 from HIV/AIDS affected, 228 from HIV/AIDS non-affected households of rural districts Mpigi and Gomba | Cross-sectional survey | NR | Bivariate analysis: perceptions that fetching water takes a lot of time (OR=2.44; 95% CI 1.65 to 3.61) and requires a lot of energy (OR=1.83; 95% CI 1.26 to 2.67) strongly associated with buying water from water vendors. Multivariable analysis: perception that fetching water takes lot of time (AOR=2.15; 95% CI 1.21 to 3.82), district location (AOR=1.92; 95% CI 1.25 to 2.95), presence of person living with HIV/AIDS in household (AOR=0.58; 95% CI 0.38 to 0.88) significant predictors of buying water from vendors. | Fair* |
| Mukhulani 2014 | Zimbabwe: respondents from three suburbs in Bulawayo affected by water scarcity | Qualitative | NR | Sexual assault and harassment reported at water points, during early morning queueing for water, or at night when travelling to boreholes 500 m–2 km away. | Fair† |
| Schatz | South Africa: 30 women aged 60–75 years and impacted by HIV in some way, from phase I of the ‘Gogo Project’, in rural subdistrict | Qualitative | NR | Fetching water is an activity associated with the respondents’ (older women) own health and level of family support. | Good† |
| Subbaraman 2015 | India: 40 adults of Mumbai slum; 3 focus groups (FGs) 6–9 women; 3 FGs 6–9 men | Qualitative | 2011 | Reports of social conflict and extortion when bringing water containers home. | Good† |
| Ghosh 2016 | India: 79 mothers from 8 groups of 8–10 mothers who had at least one child below 6 years of age across 4 villages in three blocks in the Sundarbans region of West Bengal | Qualitative | NR | Mothers did not get sufficient rest in pregnancy, perceived that this led to birth of malnourished children. ’The women have to fetch water from a distant source even in their last few months of pregnancy. They force themselves to do so to avoid the quarrels with the mother-in-law’. Some beaten by in-laws. | Good† |
| Cook 2016 | Kenya: 387 households near Kianjai, north-central Kenya | Cross-sectional survey | 2013 | Water sources are a cause of social conflict. Proportion of respondents who thought using water source would be ’somewhat' or ’very' likely to lead to conflict: public well 0.69, public borehole 0.51, public piped connection 0.56, surface, other public 0.62. Among well-owners, 85% reported allowing neighbours to use well, of these 28% said that sharing led to conflict with neighbours. | Poor* |
| Krumdieck 2016 | Kenya: 323 women at 33 weeks gestation, of mixed HIV status, recruited from seven clinics in Nyanza province | Quantitative | 2014–2015 | Water acquisition posed psychological stress and physical risk, 77.3% stating that they felt ‘somewhat or strongly concerned’ for their physical safety during trips for water. | Poor* |
| Zolnikov | Kenya: 52 semi-structured interviews among primary water gatherers and their families after receiving nearby water access | Qualitative | NR | Primary water gatherers report feeling ‘scared and fearful when gathering water, unhappy with water-gathering situation’ | Good† |
| Ayoade 2017 | Nigeria: 800 girls aged 5–15 years in periurban areas of Abeokuta, Ogun State | Qualitative | 2013–2014 | 456 (55%) reported sexual assault and/or harassment; 99 (11%) reported physical punishment by parents or guardians when containers got lost or exchanged at water points; 184 (23%) reported punishment by parents or guardians who believed they were wasting water; 122 (14%) reported fear of returning home with empty containers. | Poor† |
| Dapaah 2017 | Ghana: 120 survey respondents in Ga-Mashie, Accra and 80 in Madina, Accra | Mixed methods** | NR | Incidence of fights at water collection points 102 (85.0%) in Ga-Mashie; 34 (42.5%) in Madina; 136 (68.0%) in total. | Poor* |
*Methodological quality rating of cohort study or cross-sectional survey.
†Methodological rating of qualitative study or qualitative findings of a mixed methods study.
‡Quantitative data reported by Domènech et al were water quality testing.
§Sudan, DRC, Solomon Islands, Liberia, Guinea, Sierra Leone, Kenya, India, Cameroon, South Africa, Tanzania, Uganda, Zambia, Haiti, Afghanistan, Cambodia, Somalia, Philippines, Nigeria, Ghana, Mozambique, Pacific Islands, Pakistan, Angola, Malawi, Sudan, Iran, Nepal, Timor-Leste, Bangladesh, Sri Lanka.
¶Quantitative data reported by Isoke and Van Dijk were not analysed for association with health outcomes.
**Qualitative data were not about health outcomes.
AOR, adjusted OR; NGO, non-governmental organisation; NWSC, National Water and Sewerage Corporation.
Water carriage and general health
| First author and date | Population | Study type | Date | Key findings | Quality |
| Buor 2004 | Ghana: 210 females aged 12+ years in Kumasi; 90 from urban ‘core’, 120 form urban periphery | Cross-sectional survey | 2001 | During water scarcity: ill once every 2 weeks (fetching water≥4 hours 39.2%; 2–3 hours 19.3%; <2 hours 21.3%); ill once a month (fetching water≥4 hours 31.4%; 2–3 hours 26.6%; <2 hours 27.7%); ill once in 3 months (fetching water≥4 hours 19.6%; 2–3 hours 41.3%; <2 hours 31.9); ill rarely (fetching water≥4 hours 9.8%; 2–3 hours 12.8%; <2 hours 19.1%); multiple regression: beta-coefficients total sample (−0.255; p=0.000), core (−0.261; p=0.011), and periphery (−0.293; p=0.003). Type of regression model not stated. If multiple linear regression, for each extra hour of water fetching, health status score reduced by 26%–29%. However, health status measured on 4-point categorical scale (1=sick once every 2 weeks, 4=rarely sick), for which proportional odds regression is more appropriate. This would mean that for each hour spent water fetching, the likelihood of going from a lower level of the outcome variable (higher frequency of illness) to the next (lower frequency off illness) reduces by 25%–29%. | Poor* |
| Foggin 2006 | Tibet: herders in Sanjiangyuan region, Tibetan Plateau, southwest Qinghai Province; 50 families in Suojia Township, 49 in Zhahe Township | Cross-sectional survey and qualitative | 2002 | Tibetan pastoralists who spend>15 min collecting water are almost 10 times more likely to report being ill in the past month than those spending ≤15 min (OR=9.853; p≤0.001). | Poor* |
| Hemson 2007 | South Africa: 1052 children aged 5–17 years from 366 households, in three villages with no piped water supply; two dry flat villages in Limpopo, one hilly village, with natural springs in Kwazulu Natal | Cross-sectional survey and qualitative | NR | Compared with children collecting water 0–13 hours per week, smaller proportions of children collecting water for ≥14 hours pw rated their health as ‘improved’ (0–13 hours 42%; ≥14 hours 37%) or the same (0–13 hours 53%; ≥14 hours 45%) and a greater proportion as worse (0–13 hours 5%; ≥14 hours 19%). Of children reporting worsened health, 77% spent≥14 hours pw collecting water and 87% stated that their health was worsened by collecting water. Of children who said their health had got worse 82% reported collecting water>once a day vs 18% collecting water once a day. Of children reporting their health as improved or the same, 56% collected water>once a day, 44% collected water once a day. | Poor* |
| Geere 2010b | South Africa: 39 adults and children observed fetching water, six rural villages, Limpopo Province | Qualitative | 2008 | Children linked water carriage and health in various ways, including feeling ‘better and healthy’ or having greater resilience to diseases like influenza, as a result of the exercise required for water carriage. Children also related health to being able to participate in activities such as water fetching, as well as to having basic needs met and experiencing fair workloads. | Good† |
| Geere 2018 | South Africa, Ghana, Vietnam: 1 adult and 1 child from 673 households with at-house and off-plot water supply | Cross-sectional survey | 2012–2013 | Adults who previously carried water had a better (lower=healthier) mean general health score than adults who never carried water (β=−0.58, 95% CI −0.80 to −0.35, p<0.001) and adults who currently carried water had a better mean general health rating score than adults who had never carried water (β=−0.91, 95% CI −1.12 to −0.70, p<0.001). Children who currently carry water had a better mean score rating for general health than children who had never carried water (β=−0.20, 95% CI −0.37 to −0.31, p=0.003). Children who previously carried water had a worse mean score rating for general health (β=0.39, 95% CI 0.02 to 0.75, n=10). | Fair* |
*Methodological quality rating of cohort study or cross-sectional survey.
†Methodological quality rating of qualitative study or reporting of qualitative findings as part of a mixed methods study.