Betregiorgis Zegeye|Bright Opoku Ahinkorah|Dina Idriss-Wheeler|Comfort Z. Olorunsaiye|Nicholas Kofi Adjei|Sanni Yaya
Modern contraceptive utilization and its associated factors among married women in Senegal: a multilevel analysis
University of Technology Sydney|University of Ottawa|Arcadia University|Leibniz Institute for Prevention Research and Epidemiology - BIPS|University of Ottawa
abstract background utilization modern contraceptives still low lowand middleincome countries although fertility population growth rates high senegal modern contraceptive utilization low studies focusing associated factors study examined modern contraceptive use associated factors among married women senegal methods data 2017 continuous demographic health survey cdhs 11394 married women analysed examined associations demographic socioeconomic characteristics women partners modern contraceptive use using multilevel logistic regression models adjusted odds ratios 95 confidence intervals ci estimated results utilization modern contraceptives among married women 263 individual level factors associated modern contraceptive use womens age 4549 yearsaor 044 030063 womens educational level higheraor 188 128276 husbands educational level higheraor 143 110185 number living children 5 childrenaor 3314 19205722 ideal number children 2 childrenaor 195 113335 desire children wants moreaor 246 206294 ethnicity diolaaor 070 050099 media exposure yesaor 144 116179 wealth index richeraor 131 103167 decision making power women decision making twoaor 120 102141 whereas region matamaor 035 023053 place residence ruralaor 076 063093 community literacy level highaor 131 101171 community knowledge level modern contraceptives highaor 137 113167 found significant community level factors conclusions findings indicate individual community level factors significantly associated modern contraceptive use among married women senegal interventions focus enhancing literacy levels women husbands communities furthermore strengthening awareness attitude towards family planning given priority especially rural areas regions low resources