Ideal family size decision and its associated factors among women of reproductive age: community survey in southern Ethiopia

Study design and setting

A cross-sectional study was conducted in Southern Nations Nationalities and People’s Region (SNNPR) of Ethiopia, which is the third largest administrative region of the country representing about 20% of the country’s population at the time of data collection. It is the most diverse region in the country in terms of language, culture and ethnic background (UNICEF Ethiopia, 2021). Currently, the region is administratively sub-divided into three regions: Sidama, SNNPR and Southwest regions.

Data source, sample size and sampling

The data used for this study was first collected to assess contraceptive utilization and its associated factors in SNNPR Ethiopia in 2015 (Endriyas et al., 2017). It was a community-based cross-sectional survey. The region was stratified into urban, agrarian and pastoralist to represent regional variability of contraceptive utilization. Multi-stage sampling was used to select study participants. First, 20% of woreda were selected from each stratum. Woreda, equivalent to districts, is administrative structure with approximate population of 100,000. Based on this assumption, five towns, 33 agrarian and two pastoralist woredas, a total of 40 woredas were selected. Second, two kebeles (smallest administrative structures) were selected from each woreda. Third, two health development networks were selected from each kebele. Health development networks (locally called limat budin) are networks of 25–30 households in which one leader leads 25–30 households towards good health practices. Finally, 3,205 women in reproductive age group (15–49 years) were included in the study using cluster sampling.

Variables

Data on socio-demographic characteristics, reproductive history, deciding ideal number of children, knowledge and use of contraceptives were considered. Decision on ideal family size, defined as number of children that woman wants to have in her life, was first assessed by asking if whether woman has decided ideal number of children to have or not and then, if she had decided, number of children she wants to have.

Having information about available contraceptive methods, place where a person can get contraceptives, importance and side effects of contraceptives were considered to assess knowledge about contraception. Women’s perceptions toward sets of statements on benefits (for both woman and family) and side effects of contraception were structured using Likert’s five points scale and used to measure attitude towards contraception.

Data analysis

Data was entered into Epi-Info vision 7 and managed by using SPSS Version 20 for Windows. Descriptive statistics such as frequency, percentages, mean and standard deviation were used to describe study participants and other study variables. Knowledge and attitude responses were evaluated out of 100 and summarized using quartile. The fourth quartile or scoring 75% and above was categorized as good knowledge or positive attitude. Below these scores were categorized as poor knowledge or negative attitude. Independent variables with P-value of less than 0.25 during bivariate binary logistic regression analysis were considered in multivariable binary logistic regression model. Finally, variables with P-value of less than 0.05 during multivariable binary logistic regression were reported with adjusted odds ratio (AOR) and 95% CI as factors associated with deciding ideal family size.

Ethical consideration

Ethical clearance was obtained from the Ethical Review Committee of Regional Health Bureau (Ref. £’6-19-20438). Verbal consent was approved and used for original study. The data used was anonymous and kept confidential.

Socio-demographic characteristics of respondents

A total of 3,205 women in the reproductive age group (15–49) were included in this study. Since the data used for this paper was originally collected to assess contraceptive utilization, the socio-demographic characteristics and reproductive history (Table 1) of respondents were previously published along with original study objectives (Endriyas et al., 2017). The mean (SD) age of the respondents was 26.25 ± 7.3 years. About half, 1,668 (52%), of respondents were protestants, near to one-forth, 748 (23.3%), were in the age range between 25–29 years and more than half, 1,810 (56.5%), of respondents were housewives.

Reproductive history of respondents

About three forth, 2,376 (74.1%), of respondents were married and from those who were married, about half, 1,360 (53.8%), were married before age of 18 years. About one-fourth (26.1%) of respondents had no alive children while 24.2% had five and more alive children. About half (53.3%) of respondents were current users of contraceptives (Table 1).

Ideal family size decision

Nearly half, 1,511 (47.1%), of respondents did not decide ideal family size or failed to provide numeric preferences. From those who have decided ideal number of children, 31.2% decide to have one to four children while about one fifth (21.6%) desired to have five or more children. The mean ideal number of children preferred was 4.5 (SD = 1.62). The distribution of ideal family size is presented in Fig. 1. From those who had decided the ideal family size, 511 (30.2%) had already achieved their ideal number of children or more. Regarding urban rural variations, about two-thirds (64.2%) of urban, about half (51.9%) of agrarian and only less than one-fifth (18.4%) of pastoralist respondents decided ideal family size (Table 2).

Factors associated with ideal family size decision

In multivariable binary logistic regression analysis at 95% CI (P < 0.05), variables associated with deciding numeric ideal family size were place of residence, educational status, age, marital status, number of alive children, overall knowledge about contraceptives and current contraceptive use (Table 3).

Women from agrarian and pastoralist areas were 29% and 72% less likely to decide ideal family size as compared to women from urban setting with AOR of 0.71 [0.57–0.89] and 0.28 [0.14–0.53] respectively. Regarding educational status, women who attended primary school, secondary school and college and above were 1.5 times, 1.8 times and 2.2 times more likely to decide ideal family size than women who did not attend formal education.

Concerning knowledge about contraceptive methods and current use, women with good knowledge about contraceptive methods were 1.6 times more likely to decide ideal family size with AOR of 1.61 [1.24–2.07] and current contraceptive users were 1.5 times more likely to decide ideal family size than non-users (AOR 1.50 [1.25–1.81]).

Furthermore, older ages 30–34 years and greater than 40 years were 43% and 56% less likely to decide ideal family size than age groups of 15–19 years with AOR of 0.57 [0.39–0.83] and 0.44 [0.27–0.71] respectively. Single women as compared to those living together and women that did not have children as compared to those who had one-to-two children were less likely to decide family size.

Limitations

As we used secondary data, the study has the following limitations. First, the study lacks some important variables like economic status and significant number of respondents did not give their age that can explain family size decision. Second, due to social desirability bias, some of respondents might have reported desire for small family size. Moreover, the study lacks data on satisfaction of respondents with available number and sex composition of children that have impact on family size decision (Fadeyibi et al., 2022; Suchindran, Ramakumar & Sathi Devi, 1993).