WEBVTT 1 00:00:01.800 --> 00:00:03.180 My dream as an eight-year-old 2 00:00:03.180 --> 00:00:07.020 was that I would sail the oceans 3 00:00:07.020 --> 00:00:11.550 and drop into all of the islands. 4 00:00:11.550 --> 00:00:13.405 Hilarious. 5 00:00:13.405 --> 00:00:16.020 (water sploshing) (gentle music) 6 00:00:16.020 --> 00:00:18.810 I'm pleased that I had this kind of childhood 7 00:00:18.810 --> 00:00:21.270 and I'm pleased that I lived when I've lived 8 00:00:21.270 --> 00:00:24.480 because I think I've had the best of many things. 9 00:00:24.480 --> 00:00:27.270 Opportunities and, you know, the beginning of the, 10 00:00:27.270 --> 00:00:28.830 my career started at the beginning 11 00:00:28.830 --> 00:00:30.840 of the sort of feminist movement 12 00:00:30.840 --> 00:00:35.580 when, you know, really things were more supportive of women. 13 00:00:35.580 --> 00:00:39.630 I've really enjoyed this era that I've been in 14 00:00:39.630 --> 00:00:41.067 and observed all the changes 15 00:00:41.067 --> 00:00:43.140 and the dramatic changes in our society, 16 00:00:43.140 --> 00:00:44.460 which have been very important 17 00:00:44.460 --> 00:00:47.040 in the kinds of work that I've done. 18 00:00:47.040 --> 00:00:50.130 I wanted to be the perinatal epidemiologist, 19 00:00:50.130 --> 00:00:54.360 the maternal and child epidemiologist of Australia. 20 00:00:54.360 --> 00:00:56.133 So that was my agenda. 21 00:00:58.230 --> 00:01:00.510 One of the first big studies we did 22 00:01:00.510 --> 00:01:01.343 because we thought 23 00:01:01.343 --> 00:01:04.020 it was the most important question to address 24 00:01:04.020 --> 00:01:08.010 was why there was such variability in neural tube defects, 25 00:01:08.010 --> 00:01:12.780 spina bifida, anencephaly, encephalocele, horrible defects. 26 00:01:12.780 --> 00:01:15.180 Epidemiologists love things that go up and down 27 00:01:15.180 --> 00:01:16.950 because if it's going up, it can come down. 28 00:01:16.950 --> 00:01:18.600 And what are the factors? 29 00:01:18.600 --> 00:01:20.850 Well, one of the factors that looked really promising 30 00:01:20.850 --> 00:01:22.860 was maternal diet. 31 00:01:22.860 --> 00:01:26.220 So we did this very good case control study. 32 00:01:26.220 --> 00:01:27.600 Carol Bower was leading it. 33 00:01:27.600 --> 00:01:28.710 Well, she was doing her PhD. 34 00:01:28.710 --> 00:01:31.170 I said to her, "This is gonna be your PhD." 35 00:01:31.170 --> 00:01:33.150 And she then did this for her PhD. 36 00:01:33.150 --> 00:01:35.220 So that really was fantastic. 37 00:01:35.220 --> 00:01:38.250 And what Carol did with my team 38 00:01:38.250 --> 00:01:39.600 was we set up the first, 39 00:01:39.600 --> 00:01:42.300 the world's first primary prevention programme 40 00:01:42.300 --> 00:01:45.540 for neural tube defects in Western Australia. 41 00:01:45.540 --> 00:01:49.650 And we found this incredible association of maternal diet 42 00:01:49.650 --> 00:01:51.090 in the three months leading up 43 00:01:51.090 --> 00:01:53.530 to the, you know, first trimester 44 00:01:55.200 --> 00:01:59.100 of protection if you had a diet that was rich in folic acid, 45 00:01:59.100 --> 00:02:01.470 which is a B vitamin. 46 00:02:01.470 --> 00:02:03.393 Well, it was stunning results. 47 00:02:04.620 --> 00:02:07.230 So people don't even sort of think about it now. 48 00:02:07.230 --> 00:02:09.840 Everyone takes folate if they want to get pregnant. 49 00:02:09.840 --> 00:02:10.920 You know, how exciting. 50 00:02:10.920 --> 00:02:14.520 And, you know, it's very unusual 51 00:02:14.520 --> 00:02:17.370 to get a primary prevention for a birth defect. 52 00:02:17.370 --> 00:02:18.420 So exciting. 53 00:02:18.420 --> 00:02:20.190 And that's why alcohol is important 54 00:02:20.190 --> 00:02:22.410 and foetal alcohol syndrome is so important. 55 00:02:22.410 --> 00:02:25.650 That's the big defects that we're working on now. 56 00:02:25.650 --> 00:02:27.120 And it took us, again, years 57 00:02:27.120 --> 00:02:29.640 to get a little label on a wine bottle 58 00:02:29.640 --> 00:02:30.630 with a pregnant lady, 59 00:02:30.630 --> 00:02:33.660 you know, red pregnant lady with a cross through her 60 00:02:33.660 --> 00:02:34.560 because it was a red 61 00:02:34.560 --> 00:02:37.170 and it was gonna be difficult to print the labels. 62 00:02:37.170 --> 00:02:38.880 Give me a break. 63 00:02:38.880 --> 00:02:42.660 Most countries now have labelling on bottles 64 00:02:42.660 --> 00:02:45.513 to encourage women to not drink in the pregnancy. 65 00:02:46.560 --> 00:02:47.393 Right? 66 00:02:50.820 --> 00:02:52.980 And the other thing that I look back on 67 00:02:52.980 --> 00:02:54.510 and I'm still enjoying 68 00:02:54.510 --> 00:02:56.820 is a very large number of Aboriginal researchers 69 00:02:56.820 --> 00:02:58.740 that we have grown 70 00:02:58.740 --> 00:03:00.600 and who are now succeeding all over Australia, 71 00:03:00.600 --> 00:03:02.670 but, you know, in lots of different places, 72 00:03:02.670 --> 00:03:06.030 and they are now leaders in research. 73 00:03:06.030 --> 00:03:09.240 And that stemmed from a question I put 74 00:03:09.240 --> 00:03:12.060 to the Aboriginal controlled health organisations 75 00:03:12.060 --> 00:03:12.960 in Western Australia 76 00:03:12.960 --> 00:03:15.660 in the late 80s, early '90s. 77 00:03:15.660 --> 00:03:19.680 And I said, "Look, you know, we're not a service provider. 78 00:03:19.680 --> 00:03:21.060 We're a research institute. 79 00:03:21.060 --> 00:03:23.040 What do you want to be, 80 00:03:23.040 --> 00:03:24.990 you know, what do you want us to be for you?" 81 00:03:24.990 --> 00:03:27.390 And they said, "We want you to be our mother." 82 00:03:27.390 --> 00:03:29.850 And a mother gives to her child 83 00:03:29.850 --> 00:03:31.230 all the love and support 84 00:03:31.230 --> 00:03:33.150 and the knowledge and the funds and everything else 85 00:03:33.150 --> 00:03:35.100 so that that child can go out 86 00:03:35.100 --> 00:03:38.640 into a world which is pretty tough and cope. 87 00:03:38.640 --> 00:03:39.473 And so what we did 88 00:03:39.473 --> 00:03:40.950 was train all these Aboriginal researchers. 89 00:03:40.950 --> 00:03:43.920 Well, it's been the most interesting 90 00:03:43.920 --> 00:03:45.990 and wonderful thing for me 91 00:03:45.990 --> 00:03:49.260 because I have got completely different perspective 92 00:03:49.260 --> 00:03:51.570 on what health is in Aboriginal communities 93 00:03:51.570 --> 00:03:53.910 and what love is and what respect is 94 00:03:53.910 --> 00:03:57.240 and it's just changed my life. 95 00:03:57.240 --> 00:04:00.840 So I have this wonderful friendships 96 00:04:00.840 --> 00:04:02.700 with all these Aboriginal researchers 97 00:04:02.700 --> 00:04:05.610 and have got the ability, therefore, 98 00:04:05.610 --> 00:04:07.950 to use all of the research findings 99 00:04:07.950 --> 00:04:11.190 that we've had in all of the areas of research 100 00:04:11.190 --> 00:04:13.320 to advocate and lobby 101 00:04:13.320 --> 00:04:15.660 for things like Aboriginal control of services 102 00:04:15.660 --> 00:04:19.050 or, you know, the way that Aboriginal people do research 103 00:04:19.050 --> 00:04:19.883 and how different it is. 104 00:04:19.883 --> 00:04:22.230 And when they lead it, of course, it works. 105 00:04:22.230 --> 00:04:25.260 That's been a very rewarding experience for me 106 00:04:25.260 --> 00:04:27.840 but also one that I think was very important 107 00:04:27.840 --> 00:04:29.868 for Aboriginal health nationwide. 108 00:04:29.868 --> 00:04:32.460 (gentle music continues) 109 00:04:32.460 --> 00:04:35.040 I have to say that early on in my career, 110 00:04:35.040 --> 00:04:36.540 I didn't get a lot of mentoring, 111 00:04:36.540 --> 00:04:38.520 which is why I'm now so keen 112 00:04:38.520 --> 00:04:41.100 on mentoring young people myself. 113 00:04:41.100 --> 00:04:42.360 And it's much tougher now. 114 00:04:42.360 --> 00:04:44.310 I had a dream run with grants. 115 00:04:44.310 --> 00:04:46.800 I was asked to go on committees early on in my career 116 00:04:46.800 --> 00:04:48.750 'cause they needed a woman. 117 00:04:48.750 --> 00:04:50.640 And so that was hugely beneficial to me 118 00:04:50.640 --> 00:04:52.950 because I found out how NHMRC worked 119 00:04:52.950 --> 00:04:54.930 and I found out how the ARC worked 120 00:04:54.930 --> 00:04:56.790 and I found out how government worked 121 00:04:56.790 --> 00:04:57.623 because I was on 122 00:04:57.623 --> 00:05:00.090 the Prime Minister's Science Council for years. 123 00:05:00.090 --> 00:05:01.620 And that was incredibly important 124 00:05:01.620 --> 00:05:05.044 'cause we could lobby, we could advocate, and so on. 125 00:05:05.044 --> 00:05:07.650 (gentle music continues) 126 00:05:07.650 --> 00:05:09.270 I actually do group mentoring now 127 00:05:09.270 --> 00:05:11.010 with groups of young people 128 00:05:11.010 --> 00:05:13.080 and I think that's very beneficial 129 00:05:13.080 --> 00:05:15.360 and I would've appreciated more of that. 130 00:05:15.360 --> 00:05:19.950 Sometimes you felt very lonely as being a working mom, 131 00:05:19.950 --> 00:05:22.710 as being an institute director, 132 00:05:22.710 --> 00:05:23.943 you know, as a woman. 133 00:05:24.840 --> 00:05:27.420 So, yeah, I often felt lonely. 134 00:05:27.420 --> 00:05:29.520 I had a fantastically supportive husband 135 00:05:29.520 --> 00:05:32.490 who half the good ideas in the institute were his ideas. 136 00:05:32.490 --> 00:05:34.274 He was just very supportive. 137 00:05:34.274 --> 00:05:37.908 (gentle music continues) 138 00:05:37.908 --> 00:05:39.070 I know. Explain a bit more. 139 00:05:39.070 --> 00:05:42.690 Maybe I was Italian in a previous life. (laughs) 140 00:05:42.690 --> 00:05:45.300 But no, I get so enthusiastic. 141 00:05:45.300 --> 00:05:48.060 You somehow you need your hands to explain things. 142 00:05:48.060 --> 00:05:49.560 Not that there's graphs and things, 143 00:05:49.560 --> 00:05:51.630 but sometimes I do that. 144 00:05:51.630 --> 00:05:54.510 But yeah, so she did capture that 145 00:05:54.510 --> 00:05:58.203 and capture that sort of, I guess, enthusiasm for things. 146 00:05:59.220 --> 00:06:01.360 The other thing is that I always wore 147 00:06:02.561 --> 00:06:04.200 a reconciliation badge, 148 00:06:04.200 --> 00:06:06.090 and that was a very obvious one. 149 00:06:06.090 --> 00:06:08.280 It had Aboriginal designs on it. 150 00:06:08.280 --> 00:06:11.220 And even at every single minister's meeting 151 00:06:11.220 --> 00:06:13.890 or the science meetings or anything else, 152 00:06:13.890 --> 00:06:15.180 I wore that. 153 00:06:15.180 --> 00:06:17.850 I wore it when I was made Australian of the Year 154 00:06:17.850 --> 00:06:19.560 so that it was a statement 155 00:06:19.560 --> 00:06:23.190 and, you know, that was very important for me. 156 00:06:23.190 --> 00:06:25.260 But she captured that too. 157 00:06:25.260 --> 00:06:28.170 That is very obvious on the red jacket, I think, 158 00:06:28.170 --> 00:06:29.859 in the portrait, mm. 159 00:06:29.859 --> 00:06:32.442 (gentle music) 160 00:06:36.630 --> 00:06:39.750 From Perth, from little old Perth. 161 00:06:39.750 --> 00:06:41.463 Just shows you, you can do it. 162 00:06:42.360 --> 00:06:44.220 And it's a great place to do research 163 00:06:44.220 --> 00:06:45.510 because of the databases 164 00:06:45.510 --> 00:06:47.640 and because of the contained population 165 00:06:47.640 --> 00:06:49.290 and because of Telethon. 166 00:06:49.290 --> 00:06:51.450 Because of Telethon, everyone knows about our research. 167 00:06:51.450 --> 00:06:53.010 Everyone knew who I was. 168 00:06:53.010 --> 00:06:54.033 It was fantastic.