Journal articles: 'Farm children'

1

Cameron, D., C. Bishop, and J. R. Sibert. "Farm accidents in children." BMJ 305, no. 6844 (July 4, 1992): 23–25. http://dx.doi.org/10.1136/bmj.305.6844.23.

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Lakestani, Nelly, Virginio Aguirre, and Agustin Orihuela. "Farm Animal Welfare and Children." Society & Animals 23, no. 4 (August 24, 2015): 363–78. http://dx.doi.org/10.1163/15685306-12341370.

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Children are future consumers; they will impact future animal welfare standards. This pilot study evaluated a nonhuman animal welfare education program, building a farm animal attitude questionnaire for 8- to 10-year-old children. The educational material focused on the behaviors and needs of cows, chickens, and pigs. Knowledge acquisition and attitude change were measured before and after the intervention for children in the intervention group and at a 2-week interval for children in the control group. Reliability of the attitude scale was measured by correlating the answers from the control group at two different time points. Eleven items were significantly correlated at the time points, indicating that those questions were reliably testing children’s views on these items. The educational intervention was successful in increasing children’s knowledge of farm animals and resulted in some changes in attitudes. The type of favorite animal reported shifted to more farm animals after the intervention.

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3

Swanson, Jill A. "Accidental Farm Injuries in Children." Archives of Pediatrics & Adolescent Medicine 141, no. 12 (December 1, 1987): 1276. http://dx.doi.org/10.1001/archpedi.1987.04460120038029.

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4

Haley, K. J., S. Deppe, W. Bowen, M. E. Ginn-Pease, and D. R. King. "71. CHILDREN WITH FARM INJURIES." Pediatric Emergency Care 9, no. 4 (August 1993): 263. http://dx.doi.org/10.1097/00006565-199308000-00051.

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Voaklander, Donald C., Josie M. Rudolphi, Richard Berg, Colleen Drul, Kathy L. Belton, and William Pickett. "Fatal farm injuries to Canadian children." Preventive Medicine 139 (October 2020): 106233. http://dx.doi.org/10.1016/j.ypmed.2020.106233.

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6

Zitsman, Jeffrey L. "Fatal farm injuries among young children." Journal of Pediatric Surgery 24, no. 9 (September 1989): 941. http://dx.doi.org/10.1016/s0022-3468(89)80603-7.

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7

Loucky, James. "Maya Children: Helpers at the Farm." American Journal of Human Biology 18, no. 5 (2006): 724–25. http://dx.doi.org/10.1002/ajhb.20557.

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McClure, Shannon K., and William J. Shaughnessy. "Farm-related Limb Amputations in Children." Journal of Pediatric Orthopaedics 25, no. 2 (March 2005): 133–37. http://dx.doi.org/10.1097/01.bpo.0000149864.42777.96.

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9

Burkhart, P. V., S. R. Browning, S. Westneat, C. A. Knox, and D. Abshire. "Respiratory Health of Kentucky Farm Children." Journal of Allergy and Clinical Immunology 119, no. 1 (January 2007): S68. http://dx.doi.org/10.1016/j.jaci.2006.11.290.

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10

Twardziok, Monika, Paul C. Schröder, Johanna Krusche, Vera I. Casaca, Sabina Illi, Andreas Böck, Georg J. Loss, et al. "Asthmatic farm children show increased CD3 + CD8 low T-cells compared to non-asthmatic farm children." Clinical Immunology 183 (October 2017): 285–92. http://dx.doi.org/10.1016/j.clim.2017.09.009.

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11

Marlenga, Barbara, William Pickett, and Richard L. Berg. "Assignment of work involving farm tractors to children on North American farms." American Journal of Industrial Medicine 40, no. 1 (2001): 15–22. http://dx.doi.org/10.1002/ajim.1067.

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12

MOON, MARY ANN. "Lower Asthma Prevalence Found Among Farm Children." Clinical Psychiatry News 39, no. 5 (May 2011): 39. http://dx.doi.org/10.1016/s0270-6644(11)70191-6.

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13

Little, D. C., J. M. Vermillion, E. J. Dikis, R. J. Little, M. D. Custer, and D. R. Cooney. "Life on the farm—children at risk." Journal of Pediatric Surgery 38, no. 5 (May 2003): 804–7. http://dx.doi.org/10.1016/jpsu.2003.50171.

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14

Ledgerton Cooper, Selena. "Children and animals: Down on the farm." Practical Professional Child Care 4, no. 7 (July 2007): 18–19. http://dx.doi.org/10.12968/ppcc.2007.4.7.38237.

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15

Slesinger, Doris P., Bruce A. Christenson, and Eleanor Cautley. "Health and mortality of migrant farm children." Social Science & Medicine 23, no. 1 (January 1986): 65–74. http://dx.doi.org/10.1016/0277-9536(86)90325-4.

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16

Kim, Kyungsu, Jeremy Beach, Ambikaipakan Senthilselvan, Niko Yiannakoulias, Larry Svenson, Hyocher Kim, and Donald C. Voaklander. "Agricultural injuries among farm and non-farm children and adolescents in Alberta, Canada." American Journal of Industrial Medicine 61, no. 9 (July 12, 2018): 762–72. http://dx.doi.org/10.1002/ajim.22872.

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17

Kirjavainen, Pirkka V., Anne M. Karvonen, Rachel I. Adams, Martin Täubel, Marjut Roponen, Pauli Tuoresmäki, Georg Loss, et al. "Farm-like indoor microbiota in non-farm homes protects children from asthma development." Nature Medicine 25, no. 7 (June 17, 2019): 1089–95. http://dx.doi.org/10.1038/s41591-019-0469-4.

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18

Reynolds, Douglas B. "Farm Labor Monopsony: Farm Business And The Child Hierarchical Model Of Fertility." Journal of Business & Economics Research (JBER) 14, no. 1 (January 14, 2016): 19–32. http://dx.doi.org/10.19030/jber.v14i1.9553.

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Arthur Lewis (1954) classic article on duel labor markets suggests that subsistence labor, due to high fertility and overpopulation, causes low wages. Basu (1999) and Dessy (2000) show a compelling theory for high fertility in developing countries where regions go into a poverty trap of low labor demand, low wages and overpopulation. An alternative explanation for overpopulation has to do with a simple farm business model where farming families have a labor monopsony for their own child labor. Child labor, not from society at large but from the farm family’s own children, can be a source of labor to run a farm business. The farm business model shows how, due to simple monopsony characteristics, it may be cheaper for a farmer to use fertility induced, family child labor, rather than expensive non-family labor, to provide his labor supply and increase his rent. Children can provide the farmer with labor that has a psychological barrier to exit, making it easy to add human capital without paying a high wage. However, due to sibling rivalry and child psychological growth stages of binding, delegating and expelling, older children will be forced to leave the farm inducing greater fertility to replace them. We assume capital investment options and the use of technology are limited for such farms due to monsoon rainy seasons, dense forests or steep hills, which suggests the need for labor intensive farms. The end result is that child labor is a way to provide significant profit to a farm business.

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19

Hawkins, Roxanne, Gilly Ferreira, and Joanne Williams. "The Development and Evaluation of ‘Farm Animal Welfare’: An Educational Computer Game for Children." Animals 9, no. 3 (March 13, 2019): 91. http://dx.doi.org/10.3390/ani9030091.

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Many children growing up in urban areas of Western countries have limited contact with and knowledge of farm animals and food production systems. Education can play an important role in children’s understanding of farm animal welfare issues, however, most education provided focuses on pets. There is a need to develop new farm animal welfare interventions for young children. This study examines the process of designing, developing, and evaluating the effectiveness of a new theoretically-driven digital game to teach children, aged 6–13 years, about farm animal welfare. ‘Farm Animal Welfare’ aimed to promote children’s knowledge about animal welfare, promote beliefs about animal sentience, and promote positive attitudes and compassion. A quasi-experimental design was carried out, using self-report questionnaires that children (n = 133, test = 69, control = 64) completed in the classroom. Test and control groups were from different schools and the control group did not engage in the intervention. Findings indicate a positive impact on beliefs about animal minds, knowledge about animal welfare needs, and knowledge about welfare in different farming systems, but there was no change in compassion or attitudes about cruelty. This study presents the first evaluation of a digital animal welfare education intervention for children, demonstrating the benefits of incorporating ‘serious games’ into farm animal welfare education. The findings will inform future practice around farm animal welfare education interventions for primary school children.

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20

Reed, Deborah B., and Deborah T. Claunch. "Nonfatal farm injury incidence and disability to children." American Journal of Preventive Medicine 18, no. 4 (May 2000): 70–79. http://dx.doi.org/10.1016/s0749-3797(00)00143-4.

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21

Meiers, Suzanne, and Joanne Baerg. "Farm accidents in children: Eleven years of experience." Journal of Pediatric Surgery 36, no. 5 (May 2001): 726–29. http://dx.doi.org/10.1053/jpsu.2001.22946.

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22

Morin, Gabrielle Spiegle, and Claude Cyr. "46 PAFE: Prevention of farm accidents in children." Paediatrics & Child Health 24, Supplement_2 (May 31, 2019): e19-e19. http://dx.doi.org/10.1093/pch/pxz066.045.

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23

Nichols, Memorie, Aryeh D. Stein, and Judith Lupo Wold. "Health Status of Children of Migrant Farm Workers: Farm Worker Family Health Program, Moultrie, Georgia." American Journal of Public Health 104, no. 2 (February 2014): 365–70. http://dx.doi.org/10.2105/ajph.2013.301511.

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24

Kirjavainen, Pirkka V., Anne M. Karvonen, Rachel I. Adams, Martin Täubel, Marjut Roponen, Pauli Tuoresmäki, Georg Loss, et al. "Author Correction: Farm-like indoor microbiota in non-farm homes protects children from asthma development." Nature Medicine 25, no. 8 (July 17, 2019): 1319. http://dx.doi.org/10.1038/s41591-019-0546-8.

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25

Rappaport, Allen. "Farm Women as Full-Time Partners: Some Evidence of Sharing Traditional Gender-Based Tasks." Family Business Review 8, no. 1 (March 1995): 55–63. http://dx.doi.org/10.1111/j.1741-6248.1995.00055.x.

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The farm and home decision and task responsibilities of husbands and wives for two groups are examined: (1) five hundred ninety-two married male respondents who are husbands in traditional farm families including those with children under twenty-one and wives who work off the farm; and (2) forty married male respondents who consider their wives full-time partners, who indicate that their wives work equally hard on the farm, have no children under twenty-one at home, and do not have off-the-farm employment. For the 592-respondent group, the traditional gender-based division of farm and home decisions and tasks applied. For the full-time partners group, men continued to perform the traditional farm tasks, while wives shared to a greater extent in but did not have sole responsibility for farm decisions or tasks. The forty male respondents reported crossing over and sharing domestic tasks.

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26

Rathje, Clint, Ashley Venegas, Stephen D. Helmer, Rachel M. Drake, Jeanette G. Ward, and James M. Haan. "Pediatric Farm Injuries." Kansas Journal of Medicine 10, no. 4 (January 15, 2019): 92–95. http://dx.doi.org/10.17161/kjm.v10i4.8670.

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Introduction. Agriculture is an industry where family members oftenlive and work on the same premises. This study evaluated injury patternsand outcomes in children from farm-related accidents. Methods. A 10-year retrospective review of farm-accident relatedinjuries was conducted of patients 17 years and younger. Data collectedincluded demographics, injury mechanism, accident details, injuryseverity and patterns, treatments required, hospitalization details, anddischarge disposition. Results. Sixty-five patients were included; 58.5% were male and themean age was 9.7 years. Median Injury Severity Score and GlasgowComa Scale were 5 and 15, respectively. Accident mechanisms includedanimal-related (43.1%), fall (21.5%), and motor vehicle (21.5%).Soft tissue injuries, concussions and upper extremity fractures werethe most common injuries observed (58.5%, 29.2%, and 26.2%,respectively). Twenty-six patients (40%) required surgical intervention.Mean hospital length of stay was 3.4 ± 4.7 days. The majority ofpatients were discharged to home (n = 62, 95.4%) and two patientssuffered permanent disability. Conclusion. Overall, outcomes for this population were favorable,but additional measures to increase safety, such as fall prevention,animal handling, and driver safety training should be advocated.KS J Med 2017;10(4):92-95.

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27

Birk, Megan. "The Farm, Foster Care, and Dependent Children in the Midwest, 1880–1920." Journal of the Gilded Age and Progressive Era 12, no. 3 (June 18, 2013): 320–42. http://dx.doi.org/10.1017/s1537781413000194.

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Between the Civil War and World War I, the midwestern farm played an important role in the care of dependent children. Instead of paying families to take in children, welfare workers relied on farmers to take children in for free. However, the situation for dependent children and farmers changed during the Progressive Era. Movements to improve farming methods and standards of living in the hopes of keeping rural people on the land highlighted the difficulties of farm life. For the children placed in free homes with farmers, reformers sought to improve record keeping and supervision. Such reforms had unforeseen consequences. The bureaucracy needed to supervise children placed on farms increased costs, while farmers resented the intrusion. Children who labored for free on farms no longer learned skills useful in the modern, industrializing nation. As more systematic supervision became standard across the Midwest, farm placement lost its appeal. By examining the motivations for better supervision of placed-out children and how those plans became policy, this article reveals complexities, underestimated by previous scholars, in the commonly told story of the transition of child-welfare practices from an emphasis on free farm placement to paid foster care in suburban and urban settings.

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28

Clarke, Jenni. "Bringing the outside in: Indoor farm." Early Years Educator 23, no. 3 (October 2, 2021): S2—S3. http://dx.doi.org/10.12968/eyed.2021.23.3.s2.

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29

PADUNGTOD, PAWIN, and JOHN B. KANEENE. "Campylobacter in Food Animals and Humans in Northern Thailand." Journal of Food Protection 68, no. 12 (December 1, 2005): 2519–26. http://dx.doi.org/10.4315/0362-028x-68.12.2519.

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Cross-sectional, longitudinal, and case-control studies were conducted to describe the epidemiology of Campylobacter in chickens, swine, dairy cows, farm workers, nonfarm residents, and children with diarrhea. Samples were collected in Chiang Mai and Lamphung provinces of northern Thailand from 2000 through 2003. A total of 2,360 samples were processed. Results from the cross-sectional study indicated that the prevalences of Campylobacter in chickens at the farm, slaughterhouse, and market were 64, 38, and 47%, respectively. In swine, the prevalences at the farm, slaughterhouse, and market were 73, 69, and 23%, respectively. Campylobacter prevalence was 14% in dairy cows and 5% in raw milk. The prevalence of Campylobacter on farms was lower in environmental samples than in samples collected from live animals. No Campylobacter isolates were obtained from healthy nonfarm residents, but isolates were obtained from 5 and 18% of farm workers and children with diarrhea, respectively. The prevalence of Campylobacter in pigs in the longitudinal study was 61% at the farm, 46% at the slaughterhouse, and 33% at the market. The majority of Campylobacter isolates from chickens (52%), swine (98%), and farm workers (66%) were Campylobacter coli, whereas the majority of isolates from dairy cows (63%) and children with diarrhea (62%) were Campylobacter jejuni. Most Campylobacter isolates from diarrheal children had single-strand conformation polymorphism profiles similar to those of isolates from chickens. None of the risk factors for infection in children with diarrhea were significantly associated with the isolation of Campylobacter.

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30

Reed-Danahay, Deborah. "Farm Children at School: Educational Strategies in Rural France." Anthropological Quarterly 60, no. 2 (April 1987): 83. http://dx.doi.org/10.2307/3317999.

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31

Mitchell, Rebecca J., Richard C. Franklin, Timothy R. Driscoll, and Lyn J. Fragar. "Farm-related fatalities involving children in Australia, 1989-92." Australian and New Zealand Journal of Public Health 25, no. 4 (August 2001): 307–14. http://dx.doi.org/10.1111/j.1467-842x.2001.tb00585.x.

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32

Robson, Shannen L. "Maya children: helpers at the farm – Karen L. Kramer." Journal of the Royal Anthropological Institute 12, no. 3 (September 2006): 690–91. http://dx.doi.org/10.1111/j.1467-9655.2006.00359_15.x.

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33

Riney-Kehrberg, Pamela. "Children of the Crisis: Farm Youth in Troubled Times." Middle West Review 2, no. 1 (2015): 11–25. http://dx.doi.org/10.1353/mwr.2015.0049.

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34

Staudt, Marlys. "Helping Rural School Children Cope with the Farm Crisis." Children & Schools 9, no. 4 (1987): 222–29. http://dx.doi.org/10.1093/cs/9.4.222.

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35

Gillette, Jason C., Catherine A. Stevermer, Stacey A. Meardon, Timothy R. Derrick, Charles V. Schwab, and Rick L. Sharp. "Upper Extremity Torques During Carrying Tasks in Farm Children." Medicine & Science in Sports & Exercise 38, Supplement (May 2006): S172. http://dx.doi.org/10.1249/00005768-200605001-01656.

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36

Bancej, C. "Injuries in Ontario farm children: a population based study." Injury Prevention 6, no. 2 (June 1, 2000): 135–40. http://dx.doi.org/10.1136/ip.6.2.135.

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37

Ogunnaike, Maria, Mojisola Kehinde, and Olubunmi Olabode. "DETERMINANTS OF MALNUTRITION AMONG CHILDREN IN RURAL FARM HOUSEHOLDS IN OGUN STATE, NIGERIA." FUDMA JOURNAL OF SCIENCES 4, no. 4 (June 12, 2021): 90–95. http://dx.doi.org/10.33003/fjs-2020-0404-341.

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Malnutrition in children is one of the most serious public health problems in Nigeria and also in the world. Therefore, the objective of the study was to measure the prevalence of stunting, wasting and underweight and to assess the socio economic factors that influence the anthropometric indicators among children residing in rural farm households of Ogun State Nigeria. A cross sectional study was employed and 206 farm households were interviewed using a structured, personally administered questionnaire consisting of socio-demographic factors, maternal characteristics, farm production characteristics and anthropometric measurement was used to gather data for 100 children. Nutri-survey, SPSS and Stata software was used to perform descriptive statistics and logistic regression analyses. The summary statistics of nutritional status of children in the study area revealed that the prevalence of stunting, underweight and wasting was 70%, 25 % and 8%, respectively. In view of World Health Organisation recommendation into two age disaggregated groups, male children were found to be more stunted and wasted than females in the study area. Age(p<0.05) and sex of the child(p<0.05), Farm size(p<0.01), household size(p<0.05), access to safe water(p<0.05), years of formal education of the household head (p<0.05) and access to health services (p<0.01) are factors that significantly affect the incidence of stunting, underweight and wasting in the study area. Thus, efforts should be made to improve the health services and also provision of safe water to farm households for reducing malnutrition among children.

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38

Ball, Anna L., and Angela Wiley. "The Aspirations Of Farm Parents And Pre-Adolescent Children For Generational Succession Of The Family Farm." Journal of Agricultural Education 46, no. 2 (June 2005): 36–46. http://dx.doi.org/10.5032/jae.2005.02036.

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39

Toussaint, Maisha, Kayla Faust, Corinne Peek-Asa, and Marizen Ramirez. "Characteristics of Farm Equipment-Related Crashes Associated With Injury in Children and Adolescents on Farm Equipment." Journal of Rural Health 33, no. 2 (December 3, 2015): 127–34. http://dx.doi.org/10.1111/jrh.12162.

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40

Becot, Florence, Casper Bendixsen, Kathrine Barnes, and Josie Rudolphi. "Broadening Our Understanding of Farm Children’s Risk Exposure by Considering Their Parents’ Farming Background." International Journal of Environmental Research and Public Health 18, no. 10 (May 14, 2021): 5218. http://dx.doi.org/10.3390/ijerph18105218.

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While farm safety researchers have seldom considered the association between farm parents’ background and their children’s safety, researchers who have compared first- and multi-generation farmers have found differences that may shape safety outcomes. We draw on the farm safety and family farm bodies of literature and a survey of 203 United States farm parents to assess the role of farming background in farm children risk exposure. Exploratory in nature, the bivariate analysis revealed no statistically significant differences between first- and multi-generation farmers in children injury, agricultural safety perceptions, knowledge, and practices but revealed differences in key demographic characteristics and parenting styles. A range of factors likely explain these findings with meso- and macro-level factors likely impacting farm parents’ ability to adopt safety practices. In contrast to the emphasis on knowledge and behaviors, we call for the integration of lived realities in farm safety research and to do so in a way that connects realities and choices to larger contexts. We also call on the need to expand the toolkit of interventions to address meso- and macro-level factors. A shift towards addressing social and economic conditions in agriculture could reduce farm children’s injuries while supporting the sustainability of farm labor systems.

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41

Rains, Caroline B., Kristen C. Giombi, and Anupama Joshi. "Farm-to-school education grants reach low-income children and encourage them to learn about fruits and vegetables." Translational Behavioral Medicine 9, no. 5 (September 30, 2019): 910–21. http://dx.doi.org/10.1093/tbm/ibz092.

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Oregon’s Farm to School Education Grant Program reached students in low-income districts, enabled districts to conduct farm to school educational activities, and allowed children to learn about local produce.

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42

Miller, Cristina D., and Robert A. Aherin. "The Prevalence of Disabilities in the U.S. Farm Population." Journal of Agricultural Safety and Health 24, no. 4 (2018): 243–60. http://dx.doi.org/10.13031/jash.12934.

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Abstract. Health limitations and disabilities among farmers, farmworkers, and farm family members may have implications on their day-to-day activities and well-being as well as the farm business, but little is known about the extent of these limitations and disabilities. Using the U.S. Census Bureau’s American Community Survey (ACS) Public Use Microdata Sample (PUMS) files from 2008 to 2016, the following questions were examined: what is the prevalence of disability in the overall farm population; what is the prevalence of health difficulties and disability among farmers, farmworkers, and farm family members; and do farmer and farmworker disability prevalence rates vary over time, by state, gender, or race/ethnicity. Finally, the effects of demographic factors were estimated on the likelihood that farmers and farmworkers might experience a disability. The findings of this study indicated that the disability rate in the farm population was 12.9%. On average, almost two out of ten farmers (19.2%) and nearly one out of ten farmworkers (9.0%) had a disability. One in 25 farm family children (4.2%, ages 6 to 17) and slightly more than two in 25 farm family adults (10.5%) had a disability. Keywords: Cognitive difficulty, Disability, Farm children, Farmer, Farm household, Farmworker, Hearing difficulty, Independent living difficulty, Physical difficulty, Self-care difficulty, Vision difficulty.

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43

Babatunde, R. O., A. E. Omoniwa, and M. N. Ukemenam. "Gender analysis of educational inequality among rural children of school-age in Kwara State, Nigeria." Agricultural Science and Technology 11, no. 3 (September 2019): 267–74. http://dx.doi.org/10.15547/ast.2019.03.046.

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Abstract. Educational inequality has been accepted widely as an indicator of wellbeing. However, in most developing countries, very little attention has been paid to it. This article examined the gender differences in educational inequality among rural children of school-age in Kwara state, Nigeria. Using a three-stage random sampling technique, 200 rural households were sampled for data collection. Analytical tools used are descriptive statistics, the Gini-coefficient and the Ordinary Least Square regression analysis. The result of the analysis showed educational inequality for boys and girls was 0.4 and 0.5, respectively. Educational inequality among children of school-age was significantly determined by the age of household heads, education status of the household heads, marital status, main occupation of the household head, household size, dependency ratio, farm size, cost of schooling, average time spent by children in farm work and asset-base of the households. It was therefore recommended that strategies that will promote mothers’ education be put in place as well as the provision of accessible credit schemes. This can help in the hiring of labour for farm and non-farm businesses thereby increasing production, while providing the household with more funds to enroll their children in schools.

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44

CURWIN, B. D., M. J. HEIN, W. T. SANDERSON, C. STRILEY, D. HEEDERIK, H. KROMHOUT, S. J. REYNOLDS, and M. C. ALAVANJA. "Urinary Pesticide Concentrations Among Children, Mothers and Fathers Living in Farm and Non-Farm Households in Iowa." Annals of Occupational Hygiene 51, no. 1 (June 23, 2006): 53–65. http://dx.doi.org/10.1093/annhyg/mel062.

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45

Stallones, Lorann. "Fatal Unintentional Injuries Among Kentucky Farm Children: 1979 to 1985." Journal of Rural Health 5, no. 3 (July 1989): 246–56. http://dx.doi.org/10.1111/j.1748-0361.1989.tb00985.x.

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46

Byard, R. W., J. Gilbert, R. James, and J. Lipsett. "Pathologic features of farm and tractor-related fatalities in children." Journal of Clinical Forensic Medicine 6, no. 4 (December 1999): 266. http://dx.doi.org/10.1016/s1353-1131(99)90036-6.

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47

Schenker, M. B., R. Lopez, and G. Wintemute. "Farm-related fatalities among children in California, 1980 to 1989." American Journal of Public Health 85, no. 1 (January 1995): 89–92. http://dx.doi.org/10.2105/ajph.85.1.89.

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48

WILSON, A., J. WOLD, L. SPENCER, and K. PITTMAN. "Primary health care for Hispanic children of migrant farm workers." Journal of Pediatric Health Care 14, no. 5 (September 2000): 209–15. http://dx.doi.org/10.1016/s0891-5245(00)84260-1.

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49

Kilanowski, Jill F. "Patterns and Correlates of Nutrition Among Migrant Farm-Worker Children." Western Journal of Nursing Research 34, no. 3 (October 8, 2010): 396–416. http://dx.doi.org/10.1177/0193945910381597.

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50

Wilson, Astrid Hellier, Judith Lupo Wold, Lorine Spencer, and Kathleen Pittman. "Primary health care for Hispanic children of migrant farm workers." Journal of Pediatric Health Care 14, no. 5 (September 2000): 209–15. http://dx.doi.org/10.1067/mph.2000.104098.

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Journal articles on the topic 'Farm children'

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