Jonathan C K Wells1, Akanksha A Marphatia2, Mario Cortina-Borja1, Dharma S Manandhar3, Alice M Reid2, Naomi Saville4. 1. Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK. 2. Department of Geography, University of Cambridge, Cambridge, UK. 3. Mother and Infant Research Activities, Kathmandu, Nepal. 4. UCL Institute for Global Health, London, UK.
Abstract
OBJECTIVES: Evolutionary perspectives on human childbirth have primarily focused on characteristics of our species in general, rather than variability within and between contemporary populations. We use an evolutionary framework to explore how physical and demographic characteristics of mothers shape the risks of childbirth complications in rural lowland Nepal, where childbearing typically commences in adolescence and chronic undernutrition is widespread, though maternal overweight is increasing in association with nutrition transition. METHODS: We conducted secondary analyses of data from a cluster-randomized trial. Women aged 14-35 years were categorized by age, number of previous pregnancies, height, body mass index (BMI), husband's education, and household wealth. Multivariable logistic regression models tested whether these characteristics independently predicted risks of episiotomy and cesarean section (CS, n = 14 261), and obstructed labor (OL, n = 5185). RESULTS: Risks were greatest among first-time adolescent mothers, though associations with age varied by outcome. Independent of age and parity, short stature and high BMI increased risks of CS and OL, whereas associations were weaker for episiotomy. Male offspring had increased risk of CS and OL but not episiotomy. Wealth was not associated with OL, but lower wealth and lower husband's education were associated with lower likelihood of episiotomy and CS. CONCLUSIONS: At the individual level, the risk childbirth complications is shaped by trade-offs between fertility, growth, and survival. Some biological markers of disadvantage (early childbearing, short stature) increased the risk, whereas low socio-economic status was associated with lower risk, indicating reduced access to relevant facilities. Independent of these associations, maternal age showed complex effects.
OBJECTIVES: Evolutionary perspectives on human childbirth have primarily focused on characteristics of our species in general, rather than variability within and between contemporary populations. We use an evolutionary framework to explore how physical and demographic characteristics of mothers shape the risks of childbirth complications in rural lowland Nepal, where childbearing typically commences in adolescence and chronic undernutrition is widespread, though maternal overweight is increasing in association with nutrition transition. METHODS: We conducted secondary analyses of data from a cluster-randomized trial. Women aged 14-35 years were categorized by age, number of previous pregnancies, height, body mass index (BMI), husband's education, and household wealth. Multivariable logistic regression models tested whether these characteristics independently predicted risks of episiotomy and cesarean section (CS, n = 14 261), and obstructed labor (OL, n = 5185). RESULTS: Risks were greatest among first-time adolescent mothers, though associations with age varied by outcome. Independent of age and parity, short stature and high BMI increased risks of CS and OL, whereas associations were weaker for episiotomy. Male offspring had increased risk of CS and OL but not episiotomy. Wealth was not associated with OL, but lower wealth and lower husband's education were associated with lower likelihood of episiotomy and CS. CONCLUSIONS: At the individual level, the risk childbirth complications is shaped by trade-offs between fertility, growth, and survival. Some biological markers of disadvantage (early childbearing, short stature) increased the risk, whereas low socio-economic status was associated with lower risk, indicating reduced access to relevant facilities. Independent of these associations, maternal age showed complex effects.
Authors: Akanksha A Marphatia; Naomi M Saville; Dharma S Manandhar; Mario Cortina-Borja; Jonathan C K Wells; Alice M Reid Journal: PeerJ Date: 2021-12-16 Impact factor: 2.984
Authors: Akanksha A Marphatia; Naomi S Saville; Dharma S Manandhar; Mario Cortina-Borja; Alice M Reid; Jonathan C K Wells Journal: Evol Med Public Health Date: 2022-08-04
Authors: Jonathan C K Wells; Akanksha A Marphatia; Dharma S Manandhar; Mario Cortina-Borja; Alice M Reid; Naomi S Saville Journal: Evol Med Public Health Date: 2022-07-25