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ABSTRACT: In populations with a high prevalence of childhood and adolescent undernutrition, supplementation during pregnancy aiming at improving maternal nutritional status and preventing fetal growth restriction might theoretically lead to cephalopelvic disproportion and delivery complications. We investigated whether the prenatal provision of small-quantity lipid-based nutrient supplements (SQ-LNS) was associated with an increased risk of caesarean section (CS) or other delivery complications. Pregnant Malawian women were randomised to receive daily i) iron–folic acid (IFA) capsule (control), ii) multiple micronutrient (MMN) capsule of 18 micronutrients (second control), or iii) SQ-LNS with similar micronutrients as MMN, plus four minerals and macronutrients contributing 118 kcal. We analysed the associations of SQ-LNS, CS, and other delivery complications using log-binomial regressions. Among 1391 women enrolled, 1255 had delivery information available. The incidence of CS and delivery complications was 6.3% and 8.2%, respectively. The incidence of CS was 4.0%, 6.0%, and 8.9% (p = 0.017) in the IFA, MMN, and LNS groups, respectively. Compared to the IFA group, the relative risk (95% confidence interval) of CS was 2.2 (1.3–3.8) (p = 0.006) in the LNS group and 1.5 (0.8–2.7) (p = 0.200) in the MMN group. We found no significant differences for other delivery complications. Provision of SQ-LNS to pregnant women may have increased the incidence of CS. The baseline rate was, however, lower than recommended. It is unclear if the higher CS incidence in the SQ-LNS group resulted from increased obstetric needs or more active health seeking and a better supply of services. Trial registered at clinicaltrials.gov, NCT01239693."},"field_of_science":[{"id":"214cc22e-77a6-450a-a58c-175bf6e036ea","url":"http://www.yso.fi/onto/okm-tieteenala/ta3123","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Gynaecology and paediatrics","fi":"Naisten- ja lastentaudit","sv":"Kvinno- och barnsjukdomar"}},{"id":"3bbe6396-883e-4abb-9945-1b18daaec75d","url":"http://www.yso.fi/onto/okm-tieteenala/ta3142","in_scheme":"http://www.yso.fi/onto/okm-tieteenala/conceptscheme","pref_label":{"en":"Public health care science, environmental and occupational health","fi":"Kansanterveystiede, ympäristö ja työterveys","sv":"Folkhälsovetenskap, miljö och arbetshälsa"}}],"infrastructure":[],"issued":"2022-07-31","keyword":["Public health care science environmental and occupational health","Gynaecology and 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Extended Methods and Materials.\r\nhttps://doi.org/10.1371/journal.pcbi.1005174.s001\r\n(PDF)\r\n\r\nS1 Table. Mean, standard deviation (sd), and coefficient of variation (cv) of the transcription intervals for the Plac/ara-1 promoter. The table shows the condition, number of exact intervals (samples), number of right-censored intervals (R-samples), and the estimated mean, sd, and cv of the intervals (considering exact and right-censored ones).\r\nhttps://doi.org/10.1371/journal.pcbi.1005174.s002\r\n(CSV)\r\n\r\nS2 Table. Presence or absence of on/off switching and number of identified steps in Plac/ara-1 promoter. The table shows the condition, the existence or absence (yes/no) of on/off switching, the durations of significant steps (Steps 1 to 3), the second-best fitting model (Alt model), and the difference in BICs (ΔBIC) of the second-best and the best fitting models and its lower bound.\r\nhttps://doi.org/10.1371/journal.pcbi.1005174.s003\r\n(CSV)\r\n\r\nS3 Table. Estimated model parameters for Plac/ara-1 promoter. The table shows the induction condition and the estimated parameter values. Here,  , where T is the temperature in degrees Celsius.\r\nhttps://doi.org/10.1371/journal.pcbi.1005174.s004\r\n(CSV)\r\n\r\nS4 Table. Statistics of the on/off switching for Plac/ara-1 promoter. The table shows the condition, the fraction of time the gene is on (Duty cycle) and the average burst size and interval.\r\nhttps://doi.org/10.1371/journal.pcbi.1005174.s005\r\n(CSV)\r\n\r\nS5 Table. Mean, standard deviation (sd), and coefficient of variation (cv) of the transcription intervals for the PtetA promoter. The table shows the temperature condition, number of exact intervals (samples), number of right-censored intervals (R-samples), and the estimated mean, sd, and cv of the intervals.\r\nhttps://doi.org/10.1371/journal.pcbi.1005174.s006\r\n(CSV)\r\n\r\nS6 Table. Presence or absence of on/off switching and number of identified steps in the PtetA promoter. The table shows the temperature condition, the presence or absence of on/off switching (On/off), the durations of the significant steps (Steps 1 to 3), the second-best fitting model (Alt model), the difference in BICs (ΔBIC) of the second-best and the best fitting model, and its lower bound (LB).\r\nhttps://doi.org/10.1371/journal.pcbi.1005174.s007\r\n(CSV)\r\n\r\nS7 Table. List of promoters and measurement conditions used in the manuscript. The table shows an arbitrary condition ID, the promoter, concentrations of the inducers (IPTG (mM), Ara (L-arabinose; %), and aTc (anhydrotetracycline; ng/mL)), and the temperature (°C).\r\nhttps://doi.org/10.1371/journal.pcbi.1005174.s008\r\n(CSV)\r\n\r\nS8 Table. List of all intervals between the production of consecutive transcripts used in the manuscript. The table shows an arbitrary interval ID, condition ID (a foreign key to), the lower (Interval LB) and upper bounds (Interval UB), and the ID of the interval that precedes in time (Previous Interval ID) for each interval observed in the cells under both promoters in each condition. The order of the rows has no particular meaning.\r\nhttps://doi.org/10.1371/journal.pcbi.1005174.s009\r\n(CSV)\r\n\r\nS1 Fig. Mean and standard deviation of transcription intervals generated using a Monte Carlo simulation as a function of temperature for the Plac/ara-1 promoter. The dashed curves represent the means and standard deviations of the best fitting models.\r\nhttps://doi.org/10.1371/journal.pcbi.1005174.s010\r\n(EPS)\r\n\r\nS2 Fig. Mean and standard deviation (sd) of transcription intervals as a function of the relative change in  ,  , and  .\r\nThe horizontal axis corresponds to the relative value in the specified parameter. The dashed curves are the asymptotes discussed in the text. The pivot parameters result in a mean of 2 and sd of  .\r\nhttps://doi.org/10.1371/journal.pcbi.1005174.s011\r\n(EPS)\r\n\r\nS3 Fig. Lower bound for the coefficient of variation of transcription intervals as a function of the relative durations between pre- and post-commit stages. Blue points represent instances of random models. Green curves are the cv lower bounds for different number of steps n in the post-commit stage: from top to bottom: 1, 2 (solid curve; the model in Eq (1)), 3, 4, and 5. The dotted black line is the absolute lower bound attained with a constant-duration post-commit stage (n = ∞).\r\nhttps://doi.org/10.1371/journal.pcbi.1005174.s012\r\n(EPS)\r\n\r\nS4 Fig. Mean, standard deviation (sd), and coefficient of variation (cv) of the transcription intervals for the Plac/ara-1 promoter under full induction, and the corresponding best fitting model. The data points correspond to those shown in S1 Table. Error bars denote one sd of the estimator uncertainty.\r\nhttps://doi.org/10.1371/journal.pcbi.1005174.s013\r\n(EPS)\r\n\r\nS5 Fig. Mean, standard deviation (sd), and coefficient of variation (cv) of the transcription intervals for the PtetA promoter under full induction, and the corresponding best fitting model. The data points correspond to those shown in S5 Table. Error bars denote one sd of the estimator uncertainty.\r\nhttps://doi.org/10.1371/journal.pcbi.1005174.s014\r\n(EPS)\r\n\r\nS6 Fig. Mean, standard deviation (sd), and coefficient of variation (cv) of the transcription intervals when varying each parameter independently around the parameter values found for the PtetA promoter, full induction.\r\nThe numeric labels for the crosses indicate temperature (°C). 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