| Literature DB >> 34977228 |
Iván Mejía-Guevara1,2, Beniamino Cislaghi3,4, Gary L Darmstadt5.
Abstract
Whilst the prevalence of unmet need and contraceptive use remained unchanged for 10 years (between 2005-2015) in India, gender restrictive norms and power imbalances also have persisted, preventing married women from meeting their family planning desires. Data for this study are from the 2015-6 National Family Household Survey, which contains information on fertility preferences and family planning for women in reproductive age. As a proxy for men's attitudinal norms, we aggregated men's perceptions regarding contraception (contraception is women's business, women who use contraception may become promiscuous) and control over their wife (if his wife refuses to have sex, men have the right to deny financial support, have sex with another woman, or beat wife) at district level. Using a three-level random intercepts model, we assessed individual and contextual-level associations of men's attitudinal norms and met need for contraception among sexually active women (aged 15-49) with any demand for family planning, while adjusting for women's empowerment indicators [education, job status, and adult marriage] and individual demographic factors. Our results indicate that men's attitudinal norms are negatively associated with women's contraceptive use; for instance, a 1 standard deviation increase in the proportion of men who believe that contraception is women's business was associated with a 12% reduced likelihood of contraceptive use (OR = 0.88, 95% CI 0.82-0.95). Similar associations remained or were stronger after considering only modern methods, or when excluding female sterilization. Furthermore, our contextual effects analysis revealed that women's higher education or wealth did not improve contraceptive uptake in communities with strong attitudinal norms, but working women or women married as children were more likely to use contraception in those communities. Our results suggest that men's attitudinal norms may be dominating over women's empowerment regarding family planning choices among reproductive age women. However, employment appeared to play a strong protective role associated with women's contraceptive use. It is important for programs seeking to transform gender equality and empower women in making contraceptive choices to consider women's employment opportunities and to also address male attitudinal norms in the context of the ecosystem in which men and women coexist and interact.Entities:
Keywords: India; contraceptive use; district; female sterilization; men’s attitudinal norms; modern methods; unmet need; women’s empowerment
Year: 2021 PMID: 34977228 PMCID: PMC8717326 DOI: 10.3389/fsoc.2021.689980
Source DB: PubMed Journal: Front Sociol ISSN: 2297-7775
Total demand for family planning for married women aged 15–49: unmet + met contraception need by type of method, NFHS-4.
| Modern | |||||
|---|---|---|---|---|---|
| No method | Traditional | Female Sterilization | Other | Total | |
| Unmet need | |||||
| for spacing | 32094 (8.5) | 32094 (8.5) | |||
| for limiting | 38594 (10.9) | 38594 (10.9) | |||
| Contraception use | |||||
| for spacing | 9144 (2.5) | 1 (0.0) | 20819 (5.8) | 29964 (8.2) | |
| for limiting | 22609 (6.4) | 157610 (54.2) | 42420 (11.9) | 222639 (72.4) | |
| Total demand for family planning | 70688 (19.4) | 31753 (8.8) | 157611 (54.2) | 63239 (17.6) | 323291 (100) |
Total observations in sample, weighted proportions in parentheses.
FIGURE 1Use and demand for family planning among sexually active married women aged 15–49 in India, NFHS-4 (2015–2016). Note: We excluded seven women with missing information.
Sample size, and attitudinal (men aged 15–54) and empowerment (women aged 15–49) norms at the district level, NFHS-4.
| Gender norms exposures | N (weighted %) |
| Men’s attitudinal norms indicators | |
| M1. Contraception is woman’s business—man should not worry | 39350 (36.1) |
| M2. Women who use contraception become promiscuous | 22059 (19.8) |
| M3. If wife refuses to have sex, husband has the right to refuse financial support | 10490 (9.4) |
| M4. Husband has the right to have sex with other women if wife refuses to have sex | 9425 (8.4) |
| M5. Beating justified if wife refuses to have sex with husband | 9102 (8.2) |
| Male Attitudinal Scale (MAS) | |
| 0 | 54124 (48.8) |
| 1 | 32686 (29.5) |
| 2 | 17305 (15.6) |
| 3 | 4698 (4.2) |
| 4 | 1664 (1.5) |
| 5 | 476 (0.4) |
| Women’s empowerment indicators | |
| W1. Complete secondary or higher education | 140979 (21.5) |
| W2. Adult marriage | 290071 (56.2) |
| W3. Currently working | 28636 (24.0) |
For robustness, district -level percentages were obtained after further excluding districts with less than 20 observations, which were comprised of 1,169 individuals in the male sample and 37 individuals in the female sample.
FIGURE 2Regional-level percentage of women using contraception (A), men’s attitudinal norms (B), and women’s empowerment (C). Note: For robustness, district -level percentages were obtained after further excluding districts with less than 20 observations, which were comprised of 1,169 individuals in the male sample and 37 individuals in the female sample.
FIGURE 3Multilevel associations between men’s attitudinal norms and use of contraception: any method (Model 1: M1), modern method (Model 2: M2), and modern method excluding female sterilization (Model 3: M3), NFHS-4. Note: Results are from separate fully-adjusted models: baseline (M1), modern methods (M2), and modern methods but excluding female sterilization (M3), where we accounted for women’s empowerment indicators at the individual and district levels, as well as for demographic indicators at the individual level.
Multilevel associations of men’s attitudinal norms and demand satisfied for contraception, India NFHS-4.
| Model 1: | Model 2: | Model 3: | |
|---|---|---|---|
| Demand satisfied with any method | Demand satisfied with modern methods | Demand satisfied with modern methods - excluding female sterilization | |
| Odds ratio and 95% CI (except for Random Coefficients) | |||
| District level Exposures | |||
| Male Attitudinal Scale (MAS: 1 SD) | 0.86 | 0.87 | 0.82 |
| (0.80–0.92) | (0.80–0.93) | (0.76–0.90) | |
| Women’s Empowerment (1 SD) | |||
| Complete secondary/higher | 1.12 | 1.12 | 0.99 |
| (0.96–1.31) | (0.96–1.31) | (0.82–1.20) | |
| Adult marriage | 0.90 | 0.91 | 1.07 |
| (0.75–1.09) | (0.74–1.11) | (0.83–1.39) | |
| Currently working | 1.07 | 1.06 | 1.00 |
| (0.99–1.16) | (0.97–1.16) | (0.90–1.10) | |
| Individual Exposures | |||
| Education (Ref: secondary/higher) | |||
| No education | 1.19 | 1.18 | 0.60 |
| (1.00–1.41) | (0.97–1.43) | (0.48–0.75) | |
| Primary | 1.24 | 1.25 | 0.77 |
| (1.07–1.44) | (1.06–1.48) | (0.60–0.98) | |
| Incomplete secondary | 1.14 | 1.12 | 0.83 |
| (1.00–1.29) | (0.97–1.31) | (0.72–0.94) | |
| Child marriage (Ref: adult marriage) | 1.60 | 1.64 | 1.18 |
| (1.48–1.73) | (1.53–1.76) | (1.08–1.28) | |
| Currently working (Ref: not working) | 1.33 | 1.34 | 1.26 |
| (1.23–1.43) | (1.24–1.44) | (1.11–1.44) | |
| Random Coefficients | |||
| Variance: State | 0.46 | 0.52 | 0.83 |
| (0.29–0.74) | (0.28–0.95) | (0.56–1.24) | |
| Variance: District | 0.29 | 0.29 | 0.34 |
| (0.20–0.43) | (0.20–0.42) | (0.24–0.49) | |
| Observations | 56,549 | 50,783 | 23,193 |
| Number of groups | 36 | 36 | 36 |
For Model 1 the outcome includes any method of contraception, for Model 2 the outcome only includes modern methods, and for Model 3 female sterilization is further excluded. Results are from fully-adjusted models, where we additionally accounted for individual covariates (age, parity, religion, household wealth, and place of residency).
FIGURE 4Contextual effects associations between men’s attitudinal norms and women’s empowerment ((A) Education, (B) Adult Marriage, (C) Job Status), and Household Wealth (D). Note: Q1 and Q5 stand for the wealth quintiles 1 and 5, respectively.
Multilevel associations of attitudinal and empowerment norms and demand satisfied for contraception, by Indian Region (NFHS-4).
| Central | East | North | Northeast | South | West | |
|---|---|---|---|---|---|---|
| Odds ratio and 95% CI (except for Random Coefficients) | ||||||
| Men’s Attitudinal Norms (1 SD) | ||||||
| Male Attitudinal Scale (MAS) | 0.87 | 0.81 | 0.84 | 1.03 | 0.97 | 0.77 |
| (0.81–0.94) | (0.65–1.02) | (0.79–0.90) | (0.95–1.11) | (0.93–1.01) | (0.62–0.96) | |
| Contraception is women’s business | 0.93 | 0.87 | 0.88 | 0.96 | 0.83 | |
| (0.91–0.94) | (0.73–1.03) | (0.80–0.97) | (0.83–1.12) | (0.61–1.12) | ||
| Contraception makes women promiscuous | 0.90 | 0.96 | 0.92 | 0.98 | 1.02 | |
| (0.81–1.00) | (0.81–1.14) | (0.87–0.97) | (0.88–1.08) | (0.68–1.54) | ||
| Husband right to refuse financial support | 0.92 | 0.91 | 0.87 | 1.02 | 0.81 | |
| (0.79–1.06) | (0.77–1.07) | (0.78–0.97) | (0.96–1.09) | (0.55–1.20) | ||
| Husband right to have sex with another woman | 0.96 | 0.86 | 0.87 | 0.99 | 0.81 | |
| (0.86–1.07) | (0.62–1.20) | (0.80–0.95) | (0.96–1.02) | (0.66–0.98) | ||
| Beating justified if refused sex | 0.89 | 0.93 | 0.98 | 0.98 | 0.85 | |
| (0.78–1.02) | (0.82–1.05) | (0.89–1.08) | (0.91–1.05) | (0.83–0.88) | ||
| Women’s Empowerment (1 SD) | ||||||
| Complete secondary/higher | 0.87 | 1.09 | 0.98 | 0.67 | 1.29 | 1.32 |
| (0.68–1.11) | (0.64–1.85) | (0.74–1.30) | (0.48–0.94) | (1.05–1.58) | (1.17–1.49) | |
| Adult marriage | 1.28 | 0.78 | 1.14 | 1.04 | 0.74 | 0.74 |
| (0.95–1.72) | (0.60–1.03) | (0.80–1.63) | (0.75–1.45) | (0.54–1.02) | (0.66–0.82) | |
| Currently working | 1.11 | 1.03 | 0.96 | 0.66 | 1.03 | 1.19 |
| (0.99–1.26) | (0.89–1.19) | (0.86–1.06) | (0.61–0.71) | (0.86–1.22) | (1.15–1.23) | |
| Random Coefficients | ||||||
| Variance: State | 0.03 | 0.94 | 0.18 | 0.04 | 0.23 | |
| (0.02–0.06) | (0.36–2.41) | (0.07–0.46) | (0–1.08) | (0.13–0.42) | ||
| Variance: District | 0.38 | 0.28 | 0.19 | 0.06 | 0.28 | 0.21 |
| (0.19–0.77) | (0.16–0.48) | (0.06–0.58) | (0.02–0.20) | (0.19–0.40) | (0.16–0.27) | |
| Observations | 13,421 | 9,250 | 13,571 | 6,296 | 8,176 | 5,815 |
| Number of groups | 3 | 4 | 8 | 8 | 8 | 5 |
Results are from fully-adjusted models, where we additionally accounted for individual empowerment indicators (education, adult marriage, and job status), as well as for individual covariates (age, parity, religion, household wealth, and place of residency).
Results from these models are from the model using the Male Attitudinal Scale as main exposure.