@article{fdi:010091123,
  title = {{Q}uality of nutritional status assessment and its relationship with the effect of rainfall on childhood stunting : a cross-sectional study in rural {B}urkina {F}aso},
  author = {{Y}eboah, {E}. and {L}ohmann, {J}. and {K}oulidiati, {J}. {L}. and {K}uunibe, {N}. and {K}yei, {N}. {N}. {A}. and {H}amadou, {S}. and {R}idde, {V}al{\'e}ry and {D}anquah, {I}. and {B}renner, {S}. and {D}e {A}llegri, {M}.},
  editor = {},
  language = {{ENG}},
  abstract = {{O}bjectives: {I}n {B}urkina {F}aso, one in every four children under 5 years is stunted. {C}limate change will exacerbate childhood stunting. {S}trengthening the health system, particularly the quality of nutrition care at primary health facilities, can minimise the adverse climate effect on stunting. {T}hus, we examined the quality of nutritional status assessment ({Q}o{NA}) during curative childcare services in primary health facilities in rural {B}urkina {F}aso and its relationship with rainfall-induced childhood stunting. {S}tudy design: {W}e conducted a cross-sectional analysis using anthropometric, rainfall, and clinical observation data. {M}ethods: {O}ur dependent variable was the height-for-age z-score ({HAZ}) of children under 2 years. {O}ur focal climatic measure was mean rainfall deviation ({MRD}), calculated as the mean of the difference between 30-year monthly household-level rainfall means and the corresponding months for each child from conception to data collection. {Q}o{NA} was based on the weight, height, general paleness and oedema assessment. {W}e used a mixed-effect multilevel model and analysed heterogeneity by sex and socioeconomic status. {R}esults: {A}mong 5027 young (3-23 months) children (mean age 12 +/- 6 months), 21% were stunted ({HAZ} <= -2). {T}he mean {MRD} was 11 +/- 4 mm, and the mean {Q}o{NA} was 2.86 +/- 0.99. {T}he proportion of children in low, medium, and high {Q}o{NA} areas was 10%, 54%, and 36%, respectively. {HAZ} showed a negative correlation with {MRD}. {H}igher {Q}o{NA} lowered the negative effect of {MRD} on {HAZ} (b = 0.017, {P} = 0.003, confidence interval = [0.006, 0.029]). {M}ales and children from poor households benefited less from the moderating effect of {Q}o{NA}. {C}onclusion: {I}mproving the quality of nutrition assessments can supplement existing efforts to reduce the adverse effects of climate change on children's nutritional well-being.},
  keywords = {{C}limate change ; {R}ainfall ; {H}ealth system ; {P}rimary health care ; {Q}uality of nutrition status assessment ; {S}tunting ; {BURKINA} {FASO}},
  booktitle = {},
  journal = {{P}ublic {H}ealth},
  volume = {234},
  numero = {},
  pages = {91--97},
  ISSN = {0033-3506},
  year = {2024},
  DOI = {10.1016/j.puhe.2024.05.020},
  URL = {https://www.documentation.ird.fr/hor/fdi:010091123},
}